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Human Migration, Malaria & Modernization in the Pacific: DNA Studies — Transcript

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  1. 0:01from the Library of Congress in
  2. 0:03Washington,
  3. 0:21DC. My name is Ray Grafala. I don't know
  4. 0:24how many uh staffers we have here and
  5. 0:26how many outsiders. So, uh, permit me to
  6. 0:30introduce myself. Um, I head the Library
  7. 0:33of Congress Asian-American Association.
  8. 0:36This is one of our, uh, first, uh,
  9. 0:39programs. I'm told that, uh, our guest
  10. 0:42speaker, Dr. Lum, has been here before.
  11. 0:46Have you? Yes, he has been here before
  12. 0:48about I think about six years before I
  13. 0:51was even alive in the Library of
  14. 0:53Congress. So, I welcome him thoroughly.
  15. 0:56Um, I welcome all of you for coming
  16. 0:58today. Uh, I guess it's too early for
  17. 1:01lunch and when you leave, lunch is
  18. 1:03almost halfway uh at the cafeteria. So,
  19. 1:06without further ado, may I introduce the
  20. 1:08vice president of the LCA who will
  21. 1:11introduce Dr. Lum Kamoko.
  22. 1:17Thank you so much for coming. Um, I'm
  23. 1:19Tomoko Stein. I'm research specialist at
  24. 1:22science, technology, and business
  25. 1:23division. This is a co-sponsored event
  26. 1:26of the LCAA, AsianAmerican Association
  27. 1:29and uh library science and technology
  28. 1:31and business division. Um so it's my
  29. 1:35pleasure to uh welcome back the
  30. 1:38professor. uh he came for the our Asian
  31. 1:41Pacific um heritage months uh 7 years
  32. 1:44ago and uh this this is the second time
  33. 1:48but the huge data accumulated over the
  34. 1:51time and I hope you can enjoy that you
  35. 1:54know the all the stories he is going to
  36. 1:57tell us um professor lamb did a
  37. 2:00bachelor's degree at baker and uh at
  38. 2:03that time uh the so many leading
  39. 2:06molecular evolutionist were air and he
  40. 2:10studied under them and then he did a PhD
  41. 2:12at the University of Hawaii under um
  42. 2:15Rebecca K who is you must some of you
  43. 2:19might know about the mitochondria eve
  44. 2:21she's well known for that scientist
  45. 2:24science work and um he is um professor
  46. 2:29at banton currently Sunni Banton and uh
  47. 2:33he's a anthropologist molecular
  48. 2:35anthropologist so study anthropology in
  49. 2:38the molecular level and uh but he covers
  50. 2:41many different subject including ancient
  51. 2:43DNA. So we will have a a lot of
  52. 2:46interesting stories here. So um without
  53. 2:50further ado, please welcome with me the
  54. 2:53professor lam.
  55. 2:55[Applause]
  56. 2:59Uh thank you Tomoko for inviting me back
  57. 3:01here again. Um is this okay? Can you
  58. 3:03hear me? Everybody hear me? Okay. So,
  59. 3:06um, I'm going to be telling you a lot of
  60. 3:09little things that fit together. It's
  61. 3:10all about the Pacific. It's a, uh, kind
  62. 3:13of an overview of the things I've been
  63. 3:14doing for the last 20 years. Uh, I
  64. 3:16started, uh, looking at at at Pacific
  65. 3:18migration as a graduate student back in
  66. 3:201989 in University of Hawaii. And since
  67. 3:23then, I' I've kind of expanded from just
  68. 3:25looking at how people got to uh,
  69. 3:27different islands in the Pacific to uh,
  70. 3:29looking at at malaria and infectious
  71. 3:31disease in the Pacific. and then uh
  72. 3:34looking at commensal organisms, how
  73. 3:35different things got out there, how
  74. 3:36mosquitoes got out there that then
  75. 3:38transmitted the malaria. And then more
  76. 3:40recently, I've been looking at and
  77. 3:41focusing on modernization and how uh
  78. 3:44changing cultures changed the health of
  79. 3:46people in different areas. Um and then
  80. 3:49most recently, I'm I'm I'm starting to
  81. 3:50get into some work on the microbiome and
  82. 3:52and I'll close with that. So, I'm going
  83. 3:54to give you kind of a whirlwind tour of
  84. 3:56some of the things I've been doing um
  85. 3:58with with my graduate students and and
  86. 4:00other students uh from Bingmpington
  87. 4:02University. Um and uh I guess I'll start
  88. 4:06by telling you a little bit about the
  89. 4:08what my laboratory does. My laboratory
  90. 4:10is the laboratory of evolutionary
  91. 4:11anthropology and health. And the basic
  92. 4:13idea is that uh humans evolved in Africa
  93. 4:18and then over the last 80,000 years or
  94. 4:20so um spread out all over the world and
  95. 4:24from one population that was in one
  96. 4:26place they're now just we're now
  97. 4:28distributed all over the world and over
  98. 4:30that period of time we've adapted in
  99. 4:32different ways to those different
  100. 4:34environments. Um in the middle of the
  101. 4:36the the slide you can see um for example
  102. 4:39skin color and how skin color has
  103. 4:41changed and we now have have different
  104. 4:44arrays of skin colors but we also have
  105. 4:45different body types and a lot of these
  106. 4:47have environmental uh influences. Why
  107. 4:50are some people dark? Why are some
  108. 4:52people tall and skinny? Why are some
  109. 4:53people more round? And a lot of this has
  110. 4:55to do with environmental selection and
  111. 4:57and uh different processes. Um this map
  112. 5:01I'm showing you over in the middle of
  113. 5:02the slide is looking at uh BMI um your
  114. 5:06ratio how how kind of round you are
  115. 5:08versus how tall you are and how that
  116. 5:10changes as you move away from the
  117. 5:12equator north and south. And this has to
  118. 5:14do with heat conservation. But in the
  119. 5:16same way our bodies and our skin color
  120. 5:18has changed, so has our immune function.
  121. 5:20As we've gone to different environments,
  122. 5:22we're we're influenced by different
  123. 5:24types of diseases and those diseases
  124. 5:26influence our immune systems
  125. 5:27differentially. And we've also um um had
  126. 5:31different ways to sustain ourselves. We
  127. 5:33have different types of of uh uh food
  128. 5:35gathering and food production. Different
  129. 5:37populations evolved uh agriculture in
  130. 5:40their societies and different
  131. 5:42populations were still hunter gatherers
  132. 5:43until very recently. So our bodies have
  133. 5:45responded not only to climates and
  134. 5:47environments but diseases and also
  135. 5:49diets. And and that's that's part of the
  136. 5:52story, but the the recent story is all
  137. 5:54about modernization and how in the last
  138. 5:56500 years, all of these diverse
  139. 5:58populations that got very different,
  140. 6:00started as as a a uniform population,
  141. 6:03moved all over the world, got very
  142. 6:04different in very many different ways
  143. 6:07are now increasingly coming together.
  144. 6:09And we're finding ourselves people from
  145. 6:11all over the world with different
  146. 6:13susceptibilities to diseases, different
  147. 6:15propensities for for succeeding in
  148. 6:17different environments and different uh
  149. 6:20cultural adaptations are increasingly
  150. 6:22finding themselves together and bringing
  151. 6:24all of those things together. Beliefs,
  152. 6:26behaviors, cultures, diseases, diets,
  153. 6:29all coming together, especially in in
  154. 6:31our modern cities um like Washington DC.
  155. 6:35But the other thing that's happening in
  156. 6:36modernization is that we're living in
  157. 6:38larger groups than we ever lived in
  158. 6:40before. And so that our our the very
  159. 6:42societies and the way that our societies
  160. 6:44work are also changing. Um if you're off
  161. 6:47on a small island like like I was a
  162. 6:50month ago and you walk around and you
  163. 6:52see someone, the first thing you do is
  164. 6:53you try to figure out how you're related
  165. 6:54to that person or who you know. You
  166. 6:57don't do that in Washington DC or New
  167. 6:59York City. There are just too many
  168. 7:01people. You can't know everyone that you
  169. 7:03run into. the Dunar number the the
  170. 7:05number of of humans that we can actually
  171. 7:07know has been estimated to be something
  172. 7:09like 150 or 200 and you bump into more
  173. 7:12than that on your way to work. So we
  174. 7:14can't physically intellectually
  175. 7:15emotionally know all the people that we
  176. 7:18see regardless of how many Facebook
  177. 7:20friends you have. So part of the the
  178. 7:23modernization is changing the way that
  179. 7:25our societies work. changing the way
  180. 7:27that we have access to foods or you know
  181. 7:29I have TV dinners down here with things
  182. 7:30that we call foods that may or may not
  183. 7:33be good for us. Um and also these
  184. 7:36diseases I have some condoms here to
  185. 7:38show to to infer AIDS and HIV and
  186. 7:41different diseases. It could be SARS any
  187. 7:43of these things that that are are
  188. 7:45pandemics that are moving around. So we
  189. 7:47started off as a a uniform population.
  190. 7:49We move all over the world. we adapt to
  191. 7:52all these different places, become very
  192. 7:54different in very different ways, and
  193. 7:56now we're all coming back together. And
  194. 7:58these, I think, are are kind of the
  195. 8:00scenarios that are important right now
  196. 8:01for human
  197. 8:03health. Um, specifically, most of the
  198. 8:06research that I I do is is focused on
  199. 8:08the Pacific. Um, how people settled the
  200. 8:11the various islands of the Pacific, how
  201. 8:14they then became adapted to those local
  202. 8:16environments. Um, often this meant that
  203. 8:18that as you move farther and farther out
  204. 8:21into the Pacific, there is less and less
  205. 8:23raw materials already there. So to
  206. 8:25succeed, you have to bring your own
  207. 8:26plants and animals with you. As you move
  208. 8:28out farther and farther though, you
  209. 8:30start avoiding some of these different
  210. 8:32diseases that that are are common in the
  211. 8:34tropics. So your whole disease profile
  212. 8:37changes, your food profile changes. Um,
  213. 8:40so you have to bring things with you.
  214. 8:41One of the things that that you bring
  215. 8:42with you are things like pigs um
  216. 8:45inadvertently out to Vanowatu which I'll
  217. 8:47be talking to you about um at length
  218. 8:49during this talk. The nofles mosquito
  219. 8:52also came and this is the the the vector
  220. 8:54for malaria. Um malaria then sets up
  221. 8:58these gradients of selection on
  222. 8:59different environments that then affect
  223. 9:01the humans. Secondarily, more recently
  224. 9:04uh we've evol uh developed different
  225. 9:05kinds of medicines to combat malaria. uh
  226. 9:08the parasites have have secondarily
  227. 9:10become immune or resistant to these
  228. 9:12different medicines in different ways in
  229. 9:14different places. So I'll tell you a
  230. 9:16little bit about that. Um and then I
  231. 9:18I'll close by talking about
  232. 9:19modernization and the effects of chronic
  233. 9:21disease. I show a little cruise boat
  234. 9:22here. One of the islands that I work on
  235. 9:24in Vanuatu and Nichum uh where my
  236. 9:26colleague Ko eradicated malaria in 1991.
  237. 9:29They've been having increasing number of
  238. 9:31cruise boats. Um they just signed a a
  239. 9:33contract with Royal Caribbean. Next year
  240. 9:35they're going to have 70 cruise boats.
  241. 9:37This year they had about 50. So they're
  242. 9:39already getting about one a week.
  243. 9:41They're going to get more than that. Now
  244. 9:42this is a island with a population of
  245. 9:44about 800 residents. These cruise boats
  246. 9:47dump 1500 2,000 tourists out a day. And
  247. 9:51this is is is a a good source of of hard
  248. 9:54currency, but it is also changing their
  249. 9:56cultures. It's changing what they do in
  250. 9:59terms of their daily activities, what
  251. 10:00they eat, and what resources they have.
  252. 10:03And that's having an effect on their
  253. 10:04their health. All right. So that's kind
  254. 10:06of an overview of what I'll be talking
  255. 10:08about within this context of of um
  256. 10:10dispersal and and uh diversification and
  257. 10:14modernization. All right. So I'll give
  258. 10:16you I'll start by giving you an overview
  259. 10:18of how people got to the Pacific. Um the
  260. 10:22earliest people reach uh the things that
  261. 10:24we call the Pacific Islands uh New
  262. 10:25Guinea up here and and Solomon Islands,
  263. 10:28Bismar's uh about 40 to 60,000 years
  264. 10:30ago. At that time uh in the plyosene um
  265. 10:34the sea levels were a lot lower. So you
  266. 10:36could walk out from Asia all the way out
  267. 10:38almost to Borneo
  268. 10:41um and and look across at Sulowesi. Uh
  269. 10:44meanwhile New Guinea was attached to
  270. 10:46Australia which was attached to
  271. 10:48Tasmania. So you have these these superc
  272. 10:50continents at that time. This Sunda
  273. 10:52Peninsula was was larger than the Indian
  274. 10:55subcontinent. This is now broken up into
  275. 10:57what is now Indonesia and the
  276. 10:59Philippines. All right. So people get
  277. 11:00over there when when the the the
  278. 11:02voyaging distances across the uh the
  279. 11:04seas were a lot smaller but it's still a
  280. 11:06major biogeographical barrier wala. So
  281. 11:09you have placental mammals mainly in
  282. 11:11Asia and then you have uh marsupial
  283. 11:13mammals mainly in Australia and New
  284. 11:14Guinea area. Um so you get a drop off of
  285. 11:17of biodiversity and changes there. Um,
  286. 11:20so humans are getting uh out to New
  287. 11:21Guinea and Australia back in the plea
  288. 11:24scene. And then there's this recent
  289. 11:26expansion off into remote Oceanania
  290. 11:29fairly recently within the last 3,00
  291. 11:313,500 years. Uh, another group of people
  292. 11:34um settled all of these these very
  293. 11:36remote islands. So, there's two major
  294. 11:38waves of these human settlement of the
  295. 11:41Pacific. Um, and this is this is very
  296. 11:44easy to tell archaeologically because
  297. 11:46the second group of people, um, we refer
  298. 11:49to them as the Lepita cultural complex
  299. 11:51or the Leita people. They made this
  300. 11:53amazingly intricate pottery. Um, and
  301. 11:56it's it's
  302. 11:57identical uh, in in its forms, not just
  303. 12:00it its form, but its decorations across
  304. 12:02large distances within a few hundred
  305. 12:04years. So, it's very clear that this is
  306. 12:05one group of people uh, traveling these
  307. 12:07distances. They also had a number of of
  308. 12:10uh animals of Asian origin. The pig, the
  309. 12:12dog, the chicken, the rat, and
  310. 12:14inadvertently the anophles mosquito that
  311. 12:16they bring with them. Um so these are
  312. 12:18the the big things that you find
  313. 12:20throughout the Pacific in Polynesia
  314. 12:22everywhere. And these are of Asian
  315. 12:23origin. They also brought a number of
  316. 12:25different tree crops and things that
  317. 12:27were domesticated in in New Guinea and
  318. 12:29Solomon's. Um, and we can also look at
  319. 12:32the languages of of people that that are
  320. 12:34currently within the Pacific. And you
  321. 12:37see that that all of these people that
  322. 12:38are associated with the the the
  323. 12:40holysine, the recent expansion, speak a
  324. 12:43very closely related uh group of
  325. 12:44languages, Aronesian languages that are
  326. 12:47related to languages in Taiwan and
  327. 12:49interestingly all the way out to
  328. 12:50Madagascar. So before the European
  329. 12:52expansion, uh the Aranesian language
  330. 12:55family was the most uh dispersed
  331. 12:57language uh family in the world over
  332. 12:59halfway around the world. Um
  333. 13:01particularly on islands in the Pacific
  334. 13:03because these are also the people that
  335. 13:04invented the outrigger canoe um and also
  336. 13:08Starlight navigation. And so I don't
  337. 13:10know if anybody's a sailing fan. I just
  338. 13:12came from San Francisco the other day
  339. 13:13and I was watching some of the America's
  340. 13:15Cup and they have these new uh winged uh
  341. 13:19boats, but they're still catamarans. So,
  342. 13:22$500 million of design later, these
  343. 13:25boats still look like Polynesian double
  344. 13:26hold canoes. Um so, there's still not a
  345. 13:29better boat out there than the ones that
  346. 13:31these guys were using to get all the way
  347. 13:32from Easter Island um and onto
  348. 13:35Madagascar on the other side of the
  349. 13:36dispersal.
  350. 13:38Um, some of my early work, my
  351. 13:40dissertation work was looking at
  352. 13:41mitochondrial DNA, these maternal
  353. 13:43lineages, and looking at at what
  354. 13:45maternal lineages were on different
  355. 13:47islands and trying to infer where people
  356. 13:48came from. One of the things that uh I I
  357. 13:52discovered was that um of the uh the two
  358. 13:57groups, the possible source populations,
  359. 14:00Southeast Asia and and Australia and New
  360. 14:02Guinea are very different. They have
  361. 14:03mutually exclusive groups of of
  362. 14:05mitochondrial lineages represented by
  363. 14:07these colors. Um the people in Polynesia
  364. 14:10are predominantly Southeast Asian in
  365. 14:12their origin of their lineages. Um but
  366. 14:14they do have about 5 to 10% of lineages
  367. 14:17that look like they came from New Guinea
  368. 14:18on the way. Um you have these islands in
  369. 14:21Micronesia, particularly in western
  370. 14:22Micronesia. Here I'm showing you the
  371. 14:24Marianas, which look like they were
  372. 14:25settled directly from Southeast Asia.
  373. 14:28Whereas you have these these islands
  374. 14:29like Vanuatu where the languages are
  375. 14:32very similar to the languages in
  376. 14:33Polynesia. They're settled at the same
  377. 14:36time as Tonga and and Samoa and Fiji and
  378. 14:39yet most of their maternal lineages look
  379. 14:41like they came from New Guinea. And I've
  380. 14:42argued in in a number of publications
  381. 14:44that I think this is post settlement
  382. 14:46gene flow and there's a lot of people
  383. 14:48moving back and forth and this is one
  384. 14:50reason why the Anophles mosquito makes
  385. 14:51it out there. And Vonowatu is the last
  386. 14:53malarious island archipelago in in the
  387. 14:56Pacific. So in some ways there's a
  388. 14:58correlation between language and
  389. 15:00genetics um and biology and in other
  390. 15:03areas there's a a discontinuity there
  391. 15:05and the patterns don't quite mix which
  392. 15:07which says that there's something
  393. 15:08interesting going on there in in
  394. 15:09prehistory and vanuatu is one of these
  395. 15:12places. Um the languages don't match the
  396. 15:14genetics per
  397. 15:16se. Um we also did some studies where we
  398. 15:19looked at u uh genetic diversity as you
  399. 15:22move out from the presumed source in
  400. 15:24Southeast Asia and New Guinea. As you
  401. 15:26move out farther and farther, one thing
  402. 15:27we notice is that the amount of genetic
  403. 15:29diversity decreases. And this is has
  404. 15:32more recently been shown to be true
  405. 15:33across the world. If you start in in uh
  406. 15:36Africa and you move outward, you see a
  407. 15:38decrease in genetic diversity. This has
  408. 15:40also been shown in terms of languages.
  409. 15:43Uh not words per se, but if you look at
  410. 15:45the number of sounds in a language, the
  411. 15:48South African languages, the the click
  412. 15:50languages have the most sounds per
  413. 15:52language. And as you move away from that
  414. 15:55uh you get less and less consonants in
  415. 15:58your language. And you see the same
  416. 15:59pattern in in the Pacific where if you
  417. 16:01look just at Austronesian languages
  418. 16:03these very closely related languages
  419. 16:04associated with the second diaspora as
  420. 16:07you move from let's say uh somewhere
  421. 16:09here in the western Pacific out to
  422. 16:11Hawaii you just lose uh consonants even
  423. 16:14from Tonga and Samoa in in in uh western
  424. 16:17Polynesia to Hawaii you lose about five
  425. 16:19or six different consonants. So things
  426. 16:21get simplified. You lose things easier
  427. 16:24than you generate diversity both in
  428. 16:26languages and genetics. Um so we showed
  429. 16:28that that you know you see this decrease
  430. 16:30in in genetic diversity as you move out
  431. 16:31into the Pacific. And if you incorporate
  432. 16:33different kinds of patterns that we
  433. 16:35think we know based on archaeology or
  434. 16:37language then the correlation between
  435. 16:39the loss of genetic diversity actually
  436. 16:42increases. Um now I'll tell you a little
  437. 16:45story about the pigs. Um, this was kind
  438. 16:47of a fun side project that started when
  439. 16:49we were doing malaria surveys and we we
  440. 16:52we heard that there were these these um
  441. 16:55very odd uh pseudoh hermaphroditic pigs
  442. 16:58out in Vanuatu. Actually, my my
  443. 16:59colleague Ralph Gerudo came in and said,
  444. 17:01"Do you know anything about these pigs?"
  445. 17:03And I said, "No." He says, "You work in
  446. 17:05Vanuatu, don't you?" And I said, "Yes."
  447. 17:06He says, "These are really crazy pigs.
  448. 17:08Why don't you check them out?" So, the
  449. 17:10next time I went out there, I did just
  450. 17:12that. I was out uh collecting mosquitoes
  451. 17:14for another study that I'll tell you
  452. 17:16about shortly and uh we started
  453. 17:18collecting samples from these pseudo
  454. 17:20hermaphroditic pigs. So what's the deal
  455. 17:22with these things? Well, it turns out
  456. 17:24that pigs are very very important in the
  457. 17:26Pacific partly because you have
  458. 17:28agriculture but you don't have food
  459. 17:30storage. It's the tropics. Most of your
  460. 17:32carbohydrates are roots and they don't
  461. 17:35preserve very well. So you can't get
  462. 17:37graineries with thousands of lifetimes
  463. 17:39of food just sitting there. things rot
  464. 17:41in the Pacific, especially starchy
  465. 17:43roots. So, the way that you can you can
  466. 17:45preserve food or accumulate wealth is
  467. 17:47through animals. And if you have lots of
  468. 17:49pigs, then that is lifetimes of wealth.
  469. 17:52Um, and this is true throughout the
  470. 17:53Pacific, but it reaches its most uh uh
  471. 17:56important aspect in Vanuatu where pigs
  472. 17:59are actually modified biologically for
  473. 18:02uh social reasons. And one of the things
  474. 18:05that they do in the northern islands of
  475. 18:07Vanuatu is that they will um remove the
  476. 18:10upper canines of the pigs. And pigs have
  477. 18:13indeterminate growth uh canines kind of
  478. 18:15like rats. They gnaw. They constantly
  479. 18:17sharpen their front teeth. Well, pigs
  480. 18:19have the same thing with their tusks. So
  481. 18:20if you remove the upper canines, what
  482. 18:23happens is the lower ones will do a
  483. 18:25complete circle in about 6 to seven
  484. 18:27years and two circles in about 11 or 12
  485. 18:30years. And it they look very beautiful.
  486. 18:33They're not so good for the pig because
  487. 18:35these things come up and they puncture
  488. 18:36the cheek and they sometimes if they do
  489. 18:38it really straight, they actually
  490. 18:40puncture the jaw coming back down. These
  491. 18:42pigs are are not happy and you have to
  492. 18:45kind of hand feed them. They're hard to
  493. 18:47raise. But if you're in Vanuatu,
  494. 18:49northern Vanuatu, and you can grow these
  495. 18:51pigs with the tusks, then you can trade
  496. 18:53them to your friends who want to take
  497. 18:55chiefly ranks and they can kill them
  498. 18:57ritually and take chiefly ranks. So
  499. 19:00tuskers are very important. The curled
  500. 19:02pig's tusk. These modified uh uh tusks
  501. 19:05are very important. They're so important
  502. 19:07that when Vanuatu got its independence,
  503. 19:09they put the tusk on the flag. Um it's
  504. 19:12also on the national beer. Tusker.
  505. 19:14There's two national beers that are
  506. 19:15tusker. One is from Kenya and that's an
  507. 19:18elephant tusk. The other one is in
  508. 19:19Vanatu and it's a pig's tusk. All right.
  509. 19:21So here's some examples. This is a
  510. 19:23wedding where they're killing a bunch of
  511. 19:24pigs here. Um here's the pig jaws in
  512. 19:29Jimmy Stevens. Um he he led a failed
  513. 19:32coup after independence, tried to take
  514. 19:33the northern islands and and separate
  515. 19:35and have them still remain under French
  516. 19:37control. That's a different story. If
  517. 19:39you want to hear about that, I can tell
  518. 19:40you about that. Um but uh uh pigs are
  519. 19:43very important. This is a pig killing
  520. 19:44club from Umbre. Now, if you want to
  521. 19:47take the highest ranks though in
  522. 19:48northern Vanuatu, you not only have to
  523. 19:50kill a bunch of pigs and a bunch of
  524. 19:51tusker pigs, but you have to kill
  525. 19:54narave. And narave are these special
  526. 19:57pseudohermaphroditic pigs. These are
  527. 19:59pigs that have um a as yet undescribed
  528. 20:03genetic mutation that results in them
  529. 20:05not having differentiation of their
  530. 20:07their external sexual genitalia. So
  531. 20:09these are are male pigs, chromosomally
  532. 20:11male pigs without a penis and uh without
  533. 20:15external testes. Well, sometimes they'll
  534. 20:17have one, sometimes they don't have any,
  535. 20:19sometimes they'll be inside of their
  536. 20:20body. So they produce testosterone, but
  537. 20:23they have nothing to do with it. And
  538. 20:25these are honory pigs. And you can't
  539. 20:27castrate them like other tuskers to calm
  540. 20:29them down because they their their their
  541. 20:31testes are inside their bodies. So these
  542. 20:33are really tough to grow and maintain.
  543. 20:36Uh they're sterile. They don't have a
  544. 20:37penis. So they have to be produced
  545. 20:39through their mothers and sisters,
  546. 20:42right? Uh so you have to you have to uh
  547. 20:45get these tusker pseudohormaphroditic
  548. 20:48tuskers from your friends if you want to
  549. 20:49take the highest chiefly rankings. So
  550. 20:51these are are still important and we
  551. 20:53wanted to take a look at this question
  552. 20:54in terms of these these ideas of of
  553. 20:56modernization and globalization. Um
  554. 20:59globally in the 1850s or so European and
  555. 21:02and Asian pigs were bred together to to
  556. 21:05build the the fast growing pig that is
  557. 21:07common now the global uh domesticated
  558. 21:10industrial pig and these pigs have been
  559. 21:12distributed all over the world. And so
  560. 21:14one of the questions were these pigs in
  561. 21:16Vanuatu, to what extent are they the
  562. 21:18original pigs that got out into the
  563. 21:19Pacific, and to what extent are they uh
  564. 21:22have they been interbred with these
  565. 21:24these global Tabescuits? So we we uh got
  566. 21:27DNA samples from 16 of these Nav
  567. 21:29Tuskers, these pseudo hermaphroditic
  568. 21:32pigs. Um we got nine samples from this
  569. 21:34other interesting pig in Vanuatu. In the
  570. 21:36southern islands, they have hairless
  571. 21:38pigs called capia. And these are also
  572. 21:40high maintenance because they get
  573. 21:42sunburned. So you have to baby these
  574. 21:43pigs. Um so you have two genetic
  575. 21:46mutations. Two highmaintenance pigs used
  576. 21:48for social reasons. This is the ochre
  577. 21:50face painting of a chief on this copia.
  578. 21:52So these are very important pigs.
  579. 21:54They're traded for uh turtles and humans
  580. 21:56and other high status things and they
  581. 21:59use for chiefly purposes. We got a bunch
  582. 22:01of those guys. We got a bunch of control
  583. 22:03pigs. Pigs just wandering around. Pigs
  584. 22:05that were um stuck in little bags on
  585. 22:08airplanes. Uh pigs being carried to
  586. 22:10feast. We just pulled hair samples off
  587. 22:12some of these pigs to get controls from
  588. 22:14the same
  589. 22:15islands. Then we sequenced their DNA and
  590. 22:17what we found is that the nurave almost
  591. 22:19all of all of the naravves and almost
  592. 22:22all of the controls from the same
  593. 22:23islands where they keep narab are the
  594. 22:25original Pacific pigs. Whereas the capia
  595. 22:28these these hairless pigs a lot of them
  596. 22:30most of them are are global
  597. 22:32domesticates. And when we think about
  598. 22:33this at the genetic level this makes
  599. 22:35sense because copias are bald pigs. You
  600. 22:38can breed them with anything and then
  601. 22:39just select out the
  602. 22:41bald babies from the litter. Whereas
  603. 22:44these these these narave you have to
  604. 22:47breed them from the mothers and the
  605. 22:49sisters of previous narave. And we're
  606. 22:52looking at a maternal inherited marker.
  607. 22:54So the maternal line is passed through.
  608. 22:57Everything passes through the maternal
  609. 22:58line. And so the mitochondrial DNA of
  610. 23:00the of these pigs is maintained. Plus
  611. 23:03these things are so valuable they don't
  612. 23:04want to interbreed them with with any
  613. 23:05other pigs. All right. So that's our
  614. 23:07little story for the the narave. When we
  615. 23:10look more globally, we found that these
  616. 23:12Pacific pigs that we were looking at in
  617. 23:14Vanuatu are very closely related to the
  618. 23:16Hawaiian and the French Polynesian, the
  619. 23:17New Guinea ones and the ones in
  620. 23:19Indonesia. Interestingly, nobody had
  621. 23:21seen this, but there was we found this
  622. 23:23paper and there's some Vietnamese wild
  623. 23:25boores and one of them also had this
  624. 23:27sequence. So we think that these guys
  625. 23:28are coming out of Southeast Asia, maybe
  626. 23:30not Vietnam, but somewhere in this area
  627. 23:32and relatively quickly they they change
  628. 23:35their morphology and get them down to a
  629. 23:37small size that can fit on a boat and be
  630. 23:39taken to all these different islands in
  631. 23:40the Pacific. But the same lineages that
  632. 23:42we have in Vanuatu are still found in
  633. 23:44these Vietnamese wild boores
  634. 23:46here. Okay, now I'm going to switch
  635. 23:48gears away from these these these funky
  636. 23:50domestic animals and tell you a little
  637. 23:52bit about the mosquitoes that transmit
  638. 23:53malaria. Um what we knew before was that
  639. 23:57there were um there's about
  640. 24:01um 12 different cryptic species at the
  641. 24:04genetic level for the anophles
  642. 24:06punctilotus group. Traditionally there
  643. 24:08were there were known as three different
  644. 24:09species based on their probosus
  645. 24:11morphology. But once people started
  646. 24:12sequencing their DNA it turned out that
  647. 24:14there were about a dozen of these
  648. 24:15things. Um there might be a few more now
  649. 24:18or a few less. This is always slightly
  650. 24:20changing. But each of these different um
  651. 24:22species had different environmental
  652. 24:24adaptations. Some live on the coast and
  653. 24:26are very salt tolerant. Uh some are
  654. 24:28living in the mountains, some were
  655. 24:29living in different environments. Uh in
  656. 24:31Vanuatu, it was reported that there was
  657. 24:33only one. This kind of makes sense
  658. 24:34because people have only been in Vanuatu
  659. 24:37for about 3,000 years, whereas the
  660. 24:38Solomons in and New Guinea and
  661. 24:40Australia, they've been for, you know,
  662. 24:41since the pleasy. So we saw that there
  663. 24:44was a difference in the number of
  664. 24:46species based on the the time of human
  665. 24:48habitation. Uh, but we also knew that
  666. 24:49Vanuatu was very rugged. There's, um, 80
  667. 24:52inhabited islands. Some are small, some
  668. 24:53are big. So, we went out there just to
  669. 24:55see what the genetic diversity of these
  670. 24:57guys look like, if there was really only
  671. 24:58one, and and how they were related. Um,
  672. 25:01so this was kind of the M's project of
  673. 25:02one of my students, Dana, and we went
  674. 25:04out. This is some of the data we've
  675. 25:06analyzed. We've still got another couple
  676. 25:07thousand mosquitoes sitting in my my
  677. 25:09lab, undescribed yet, but this is from
  678. 25:12about a thousand mosquitoes from five
  679. 25:15different islands. And what we see is
  680. 25:17that um there's one main lineage that's
  681. 25:20found on all the islands. This what I'm
  682. 25:22showing you here on on this side is is a
  683. 25:24network diagram. So each of these are
  684. 25:26genetic sequences. Each circle is a
  685. 25:28genetic sequence. The size of the circle
  686. 25:30represents how many individuals in our
  687. 25:31data set had that sequence. And the
  688. 25:33length of the bars, they're all just one
  689. 25:35mutation away. So what you see is that
  690. 25:37there's a lot of mosquitoes that are
  691. 25:38identical and they're found on all
  692. 25:40islands. The different colors are the
  693. 25:41different islands. And then you have a
  694. 25:44lot of of island specific mosquito
  695. 25:46lineages which suggest that one group of
  696. 25:48mosquitoes came in, it went to all the
  697. 25:49islands and then the island the
  698. 25:51mosquitoes don't move back and forth
  699. 25:53between the islands. So you you generate
  700. 25:54a lot of island specific lineages. Um
  701. 25:58which was interesting for us from a a
  702. 26:00malaria control perspective because that
  703. 26:01means that that the mosquitoes aren't
  704. 26:03really moving back and forth. It's the
  705. 26:04people that we got to worry about, not
  706. 26:06the mosquitoes. Um we do have another
  707. 26:08lineage is what we're calling this group
  708. 26:09two which which looks like it it's a a
  709. 26:11bit different and it's only in the
  710. 26:13north. So it looks like there was one
  711. 26:15main introduction of Nafles mosquitoes
  712. 26:17into Vanuatu and then maybe a second
  713. 26:19introduction into the northern
  714. 26:21islands. U when we started looking at
  715. 26:23the diversity of these mosquitoes and
  716. 26:24different islands we get really good
  717. 26:26correlations with with island size. So
  718. 26:28the number of lineages we find per
  719. 26:30island, the diversity of those lineages
  720. 26:32are are pretty well correlated with the
  721. 26:34size of the island and also the number
  722. 26:36of languages that the people speak. So
  723. 26:38the the same kind of area size uh uh uh
  724. 26:42parameters are affecting both the the
  725. 26:44diversity and also the human cultural
  726. 26:46diversity. Human population size is is
  727. 26:48pretty much correlated except for this
  728. 26:50island Tana where there's a lot of
  729. 26:51people on one small island but they
  730. 26:53don't speak very many languages. Um
  731. 26:55that's another story about Tana. All
  732. 26:57right. Um, so then we had we had data
  733. 26:59from from mosquitoes. We had previously
  734. 27:01looked at uh data from humans and the
  735. 27:04malaria parasites themselves. And what
  736. 27:06we found there was that the malaria
  737. 27:08parasites only moved around when the
  738. 27:10human uh also looked like they moved
  739. 27:12around where there was human gene flow
  740. 27:14shown here by this connection between
  741. 27:16the purple lines between Malakula and
  742. 27:18Pentagos where humans were going back
  743. 27:20and forth. The parasite the malar
  744. 27:21parasite also went back and forth. We
  745. 27:24added the mosquitoes to that and what we
  746. 27:26we got a good correlation too. The the
  747. 27:29places where there were shared lineages
  748. 27:31were also the places where humans were
  749. 27:33moving back and forth. So what we think
  750. 27:35is is the key to this is controlling
  751. 27:37human movement. If you control human
  752. 27:39movement, you control the movement of
  753. 27:40mosquitoes and you control the movement
  754. 27:42of parasites.
  755. 27:44Um, the next little bit I'll tell you
  756. 27:47about is a little bit about uh um the
  757. 27:51way that humans have responded to
  758. 27:53malaria. And this is uh I just showed
  759. 27:55you some work that that Dana had done
  760. 27:57for her master's degree. This is some of
  761. 27:58the work that she did for her PhD which
  762. 28:00she just defended in in the fall. And
  763. 28:02what she wanted to do is she wanted to
  764. 28:04look at the ways that different humans
  765. 28:07on different islands responded to
  766. 28:09malaria. Um so she looked at uh a total
  767. 28:12of 23 populations over 1,200 uh
  768. 28:16different samples uh individuals from
  769. 28:18those different islands and she screened
  770. 28:20a number of different uh genes. We have
  771. 28:23um uh Southeast Asian occytosis which is
  772. 28:26a a mutation that helps you resist
  773. 28:29malaria but it's not a very good one. uh
  774. 28:32I say it's not a very good one because
  775. 28:33it it really distorts the shape of the
  776. 28:36red blood cell and to this date no one
  777. 28:38has ever been found with two copies of
  778. 28:40this gene. So and when you have
  779. 28:43populations with a high frequencies of
  780. 28:45hetererozygot you have a higher
  781. 28:46frequency of stillborn children. So the
  782. 28:49implication is that if you inherit two
  783. 28:51copies of this gene then you're not even
  784. 28:53born you're you're still born. Um so
  785. 28:55this is is a way to avoid malaria but
  786. 28:58not a very good one. a very costly
  787. 29:00mutation to avoid malaria. We also look
  788. 29:03at this garbage negativity al um and
  789. 29:06this is also resist malaria. Um CR1 also
  790. 29:11resists malaria. And then we looked at
  791. 29:13this TNF alpha promoter. So TNF alpha is
  792. 29:16um part of the the immune response and
  793. 29:19it's a general fever response. So if you
  794. 29:22have this promoter, it upregulates your
  795. 29:25ability to cause a fever. But in a
  796. 29:27malarious environment, it also leads to
  797. 29:29a higher susceptibility of cerebral
  798. 29:31malaria. So we had three resistant alals
  799. 29:34and one susceptibility
  800. 29:36alf of these things are working the way
  801. 29:38we think then we should see different
  802. 29:40patterns in those you know where the
  803. 29:42susceptibility ones are high resistance
  804. 29:44should be low and vice versa. We have
  805. 29:46different different alals with opposite
  806. 29:48selections on them. And then because
  807. 29:50like I told you the people in the
  808. 29:52Pacific especially in Vanuatu are
  809. 29:54composite between these two different
  810. 29:55gene pools. Part of the the main group
  811. 29:57of people are coming in in the plyosene
  812. 29:59near oceanic people. And then you also
  813. 30:01have this second movement of people in
  814. 30:03from Southeast Asia. Both malarious
  815. 30:05environments but different gene pools
  816. 30:07that are are uh developing over long
  817. 30:09periods of time. So instead of focusing
  818. 30:10on on any of these single uh locus uh
  819. 30:14alals that are single locus what we did
  820. 30:16was we we sum these all together to get
  821. 30:18what we're calling a malari resistant
  822. 30:19genotype score. So for example as I said
  823. 30:23you can only get one of these um SOAs.
  824. 30:27So you can get a plus one or you're at
  825. 30:28zero for for that locus. Uh gerbitch
  826. 30:31there's homozygote so you can go from
  827. 30:32zero to plus one to plus two. Uh same
  828. 30:35with CR1 0 plus1 plus two. TNF alpha you
  829. 30:38can be at zero minus1 minus2. So you can
  830. 30:41either have go from minus2 to a plus
  831. 30:44seven in terms of your malaria
  832. 30:47resistance uh plus five sorry plus five
  833. 30:50to minus2 a range of seven. And so we
  834. 30:53get this score that sums up all these
  835. 30:55different genetic inherited ways that
  836. 30:57you combat malaria. Um because the idea
  837. 31:00is that uh any population has a certain
  838. 31:03number of alals in it and you can pick
  839. 31:06and choose the the evolution can tweak
  840. 31:08any of those and it's not one or the
  841. 31:10other. It's kind of a composite of those
  842. 31:11and that's your your uh immune response
  843. 31:14to these different diseases. We also
  844. 31:16looked at a number of UNL STRs just to
  845. 31:18look at the genome and to see whether or
  846. 31:20not that has the same pattern. Hopefully
  847. 31:22it doesn't have the same pattern. If it
  848. 31:24does, then what we're really looking at
  849. 31:25is population history and not disease
  850. 31:27selection. And then we looked at a
  851. 31:29number of things that are involved with
  852. 31:30u um Anophles mosquito habitat quality.
  853. 31:33What the latitude is, what the altitude
  854. 31:35is, what the longitude is. As you go up
  855. 31:37a mountain, it gets colder and drier. So
  856. 31:39the mosquitoes don't live as well. Um as
  857. 31:41you go south away from the equator in
  858. 31:44the Pacific, it gets colder, it gets
  859. 31:45drier. So lowlands in the tropics right
  860. 31:48near the equator have the highest level
  861. 31:50of malaria. As you move away from that
  862. 31:52and up mountains, then you get less
  863. 31:53malaria. So we have gradients of
  864. 31:54selection and differential gradients.
  865. 31:56Um, and then because we're we're pulling
  866. 31:58these malaria parasites out of human
  867. 32:01serum samples, we can actually um look
  868. 32:04to see what the frequency of people in
  869. 32:06each of these population at the time of
  870. 32:08sampling had malaria. So that's our our
  871. 32:10point prevalence of malaria. So we have
  872. 32:11a a guesstimate of how much the malaria
  873. 32:14selection was by just looking at how
  874. 32:15many people had malaria in that
  875. 32:16population. And then we also looked at
  876. 32:18language and and geographic distances.
  877. 32:21I'll tell you a little bit about this
  878. 32:22first part of the data set which is just
  879. 32:24on New Guinea. a few Aronesian
  880. 32:26populations, the these people that came
  881. 32:28later, a lot of these populations that
  882. 32:30speak uh Papuan languages that have been
  883. 32:32there presumably since the pleaosene
  884. 32:34across these gradients of of uh
  885. 32:37altitude. What we see for these these uh
  886. 32:39those those different genes that I
  887. 32:40showed you um what I'm showing you here
  888. 32:42on the the um on this axis is the the
  889. 32:46level of malaria, the point prevalence
  890. 32:47of malaria. And as that increases, the
  891. 32:50frequency of the resistant ALC CR1
  892. 32:53increases. um the frequency of the
  893. 32:56gerbic negativity al increases the
  894. 32:58frequency of this TNF alpha that's a
  895. 33:01susceptibility one goes down so those
  896. 33:03three work the way we would expect them
  897. 33:04to the only one that doesn't respond
  898. 33:06very well is is this Southeast Asian
  899. 33:09ovaltosis that's kind of flat but again
  900. 33:11this is the the the alil that's not so
  901. 33:13good this is the expensive one the one
  902. 33:15that you don't really want anyway and if
  903. 33:17you only have that it's fine but if you
  904. 33:19have a choice to to select for any other
  905. 33:21alil to resist malaria those the better
  906. 33:23ones So um it kind of made sense when we
  907. 33:26start adding all these things up and
  908. 33:27summing them up we get a much better
  909. 33:29correlation even than the ones we see.
  910. 33:31So these ones have 73 uh this
  911. 33:34is 088 when we add them together into
  912. 33:37our our uh um our malaria resistant
  913. 33:41genotype score the correlations come up
  914. 33:43a little bit. So we think this is a good
  915. 33:45method. Um, the only other thing I'll
  916. 33:46I'll tell you about her data when we
  917. 33:48look at all 23 of those populations and
  918. 33:51we just focus on this malaria resistant
  919. 33:53genotype score, what we see is that the
  920. 33:55people on the coasts and some of these
  921. 33:57islands on the coast that have a lot of
  922. 33:59malaria have on average almost two
  923. 34:02different alals that resist malaria. And
  924. 34:04then as we go up these mountains into
  925. 34:06the highlands of New Guinea or go to
  926. 34:08these Polynesian outliers where there is
  927. 34:09no malaria, people often have uh less
  928. 34:13than one or almost one susceptible alil.
  929. 34:16So across these these gradients of
  930. 34:18selection within a very region, a small
  931. 34:21region, we have big differences in the
  932. 34:23selection on these different alals. And
  933. 34:25I this is it will be important in about
  934. 34:28three or four minutes. But just kind of
  935. 34:30think about that highlands and small
  936. 34:32islands versus coastal uh malaria
  937. 34:34selection because what I'm going to tell
  938. 34:36you next about is um drug resistance to
  939. 34:39malaria. And so this is a an NIH funded
  940. 34:42project that I um we're just wrapping up
  941. 34:44and it was to look at the evolution of
  942. 34:46chloricquin resistance in malaria
  943. 34:47parasites in uh the Pacific. The general
  944. 34:50history of this is that
  945. 34:53um after World War II uh chloricquin
  946. 34:57became very important. It was actually
  947. 35:00discovered by the Germans during World
  948. 35:02War II but for some reason it was
  949. 35:05claimed to be ineffective for malaria.
  950. 35:08And there is um there is an argument
  951. 35:12that uh Himmler controlled all the
  952. 35:15revenues from these pharmaceutical
  953. 35:17companies and the scientists just didn't
  954. 35:19want to give him the rights to this. So
  955. 35:21they they lowballed the effectiveness of
  956. 35:23this drug. In any case, uh after the
  957. 35:25war, the US independently discovered it
  958. 35:27and then the Germans rediscovered it and
  959. 35:29chloricquin became the most important
  960. 35:31antimmalarial. But within about a a less
  961. 35:35than a decade, we started to see um
  962. 35:37resistance appear in Southeast Asia and
  963. 35:40simultaneously in in South America. Um
  964. 35:43and then uh in the 70s it appeared in in
  965. 35:48the Pacific um and also in Africa. Now
  966. 35:51this is kind of interesting because the
  967. 35:53most malarious uh areas are actually in
  968. 35:56Africa. So resistance doesn't appear
  969. 35:59where there's the most malaria. actually
  970. 36:00appears where there's the least malaria.
  971. 36:02So, this is kind of interesting and and
  972. 36:04this will tie into my my story on the
  973. 36:06Pacific. Um it wasn't until about a
  974. 36:09dozen years ago that we actually knew
  975. 36:11what the molecular basis for this
  976. 36:13resistance to chloricquin by the
  977. 36:14parasite was. Um uh David Fidok uh at
  978. 36:18Colombia discovered uh through a series
  979. 36:20of very elegant experiments discovered
  980. 36:23uh that there is one single amino acid
  981. 36:25in one gene that is is is has been shown
  982. 36:28to be correlated 100% correlated around
  983. 36:31the world with resistance to coopin. So
  984. 36:34it's one amino acid change. But it's
  985. 36:36it's a little bit more complex than that
  986. 36:38because there's no parasites that have
  987. 36:40ever been found today that have only
  988. 36:43that one mutation. All the resistant
  989. 36:45parasites have a suite of eight to 10
  990. 36:47different mutations including that one
  991. 36:49and different regions of the world have
  992. 36:51different sets of these complex
  993. 36:52hletypes. So there was a big debate um
  994. 36:55over the last five or six years of how
  995. 36:57these these complex suites of mutations
  996. 36:58evolve. Does that magic K76T appear
  997. 37:02first and then you need these helper
  998. 37:03mutations to to make that genotype more
  999. 37:06fit or do you get these kind of uh
  1000. 37:09tolerant mutations and then K76 comes as
  1001. 37:12the kind of the the lynch pin of all of
  1002. 37:14that and ties everything together and
  1003. 37:15pushes that parasite over the edge. So
  1004. 37:17what we wanted to do was to actually
  1005. 37:19look at this process in real time by
  1006. 37:22exploring a series of samples u from the
  1007. 37:25Pacific that had been collected in the
  1008. 37:271950s60s7s and 80s that span this time
  1009. 37:30of the evolution of drug resistance
  1010. 37:31within the Pacific and just sit there
  1011. 37:33and watch mutations accumulate. So
  1012. 37:35that's what I'll show you now. Um we we
  1013. 37:38just published some of this in in plots
  1014. 37:40earlier this year. I'm going to show you
  1015. 37:42decade by decade and region by region.
  1016. 37:44So, in the the lower right of all these
  1017. 37:46these slides is kind of a color-coded
  1018. 37:48region of where these samples are coming
  1019. 37:50from. We've got some from the the North
  1020. 37:53Coast. We've got some from the
  1021. 37:54Highlands. We got some from the South
  1022. 37:56Coast in these early 5960 period. Um,
  1023. 37:59all of them are susceptible to uh
  1024. 38:01chloricquin. Um, there's a few mutations
  1025. 38:03out here, but not very many, not very
  1026. 38:05interesting. None of these magic K76T
  1027. 38:07guys appearing yet. These are the same
  1028. 38:09network diagrams, by the way. So each of
  1029. 38:11these different circles is a different
  1030. 38:13uh DNA sequence and the size of the
  1031. 38:15circle represents how many individuals
  1032. 38:17in that that decade have those
  1033. 38:19mutations. 6265 same thing we have
  1034. 38:22samples from now from Fawatu from these
  1035. 38:25different coastal highland populations.
  1036. 38:27They're almost all these susceptible
  1037. 38:28guys. These guys right here are probably
  1038. 38:30susceptible too. You see a few amino
  1039. 38:32acid changes but nothing so interesting
  1040. 38:35till we get to the late 60s and early
  1041. 38:3770s and then we get all this diversity
  1042. 38:39coming out. we get diversity. We start
  1043. 38:41getting K76T, this magic resistance guys
  1044. 38:45popping out here. But what I want you to
  1045. 38:47notice on this is almost all of these
  1046. 38:49mutations are yellow. So they're coming
  1047. 38:51out of one population. And it's not like
  1048. 38:54the yellow guys are are more than a
  1049. 38:55third of the total data, but they're
  1050. 38:57they're like 90% of all the interesting
  1051. 38:59mutations coming out. And the yellow
  1052. 39:01guys are from these very small islands
  1053. 39:03in
  1054. 39:04Wanowatu 79. We've got this nice
  1055. 39:07highland population for this decade.
  1056. 39:08this we don't have any from the islands
  1057. 39:10but we start seeing all these really
  1058. 39:12bizarre interesting fully formed fully
  1059. 39:15resistant genotypes appearing in the
  1060. 39:16highlands of New Guinea but not in the
  1061. 39:18coast
  1062. 39:19again our last sample from the late 70s
  1063. 39:21and 80s we have both the small islands
  1064. 39:25and the highlands they all have these
  1065. 39:26resistant guys some of them are
  1066. 39:27identical but these are on opposite
  1067. 39:29sides of the Pacific in between are the
  1068. 39:31lowlands where we still don't have any
  1069. 39:32resistant parasites
  1070. 39:35um so this is a summary of all the
  1071. 39:36mutations and all the interesting ones
  1072. 39:38are the vast vast majority of the
  1073. 39:39interesting ones I hope you can see are
  1074. 39:40yellow and red. And so, uh, as I told
  1075. 39:44you a few minutes ago, when we look at
  1076. 39:46the human beings from these same
  1077. 39:47populations, the yellow and the red guys
  1078. 39:50are the guys that have very few, uh,
  1079. 39:52inherited resistance to the parasites.
  1080. 39:54They have the the least functioning
  1081. 39:55immune systems, inherited immune systems
  1082. 39:57to resist malaria. You and I, if we go
  1083. 40:00to a malarious country, there's three
  1084. 40:02things that that can help us with
  1085. 40:03malaria. One is our inherited genetics.
  1086. 40:05The other one is what we've developed um
  1087. 40:08during our lifetime. How many times our
  1088. 40:10immune systems have been exposed to
  1089. 40:11malaria. And the third thing now is
  1090. 40:13pharmaceuticals. So really the
  1091. 40:15pharmaceuticals are being helped out by
  1092. 40:17our inherited genetics and our
  1093. 40:19experience with with the disease. What
  1094. 40:21we see is that the guys the parasites
  1095. 40:23that evolve resistance the earliest are
  1096. 40:26the ones that are in the bodies of the
  1097. 40:27people that had the fewest inherited
  1098. 40:29mutations to help them out. So basically
  1099. 40:32those are the human bodies that are like
  1100. 40:33the baby pool. they can figure out, they
  1101. 40:35can explore this mutational space and
  1102. 40:37tweak their genes in different ways and
  1103. 40:40still survive because the immune systems
  1104. 40:41of those human beings are weaker. And
  1105. 40:43once they develop this this complex
  1106. 40:45hletype, then they can invade into the
  1107. 40:47lowlands where the people that have high
  1108. 40:49inherited resistance uh live and they
  1109. 40:52can then invade those areas and they do
  1110. 40:54this very rapidly. If you go to these
  1111. 40:56areas now or even five years after our
  1112. 40:59sampling dates in the early 90s, almost
  1113. 41:01every parasite is resistant.
  1114. 41:03But five years before that, there were
  1115. 41:05no resistant parasites in the lowland.
  1116. 41:07They were only in the highlands and
  1117. 41:08small islands. And and nobody would have
  1118. 41:11known this if that we didn't have this
  1119. 41:13amazing series of collections that that
  1120. 41:15predated and and bounded that time of
  1121. 41:18disease resistance. So when we put the
  1122. 41:20human genetics together with the
  1123. 41:22parasite genetics, we can actually see
  1124. 41:24what the selective uh uh forces were
  1125. 41:27that encouraged the evolution of drug
  1126. 41:29resistance in these
  1127. 41:31parasites. Okay. Now I'm going to switch
  1128. 41:33gears again and talk a little bit about
  1129. 41:35chronic disease. Um, and I'll tell you a
  1130. 41:38little bit about my favorite archipelago
  1131. 41:40in the world, Vanuatu. This is the most
  1132. 41:42interesting place I think to do research
  1133. 41:44because it has currently about 240,000
  1134. 41:48people on 60 inhabited islands and they
  1135. 41:50have over a 100 indigenous languages. So
  1136. 41:52it's the most culturally linguistically
  1137. 41:54diverse place on the planet. Um, some of
  1138. 41:57these islands, the larger ones like Sto
  1139. 41:58and Malakula, have over 20 languages on
  1140. 42:01them each. So this is really
  1141. 42:03interesting. Most
  1142. 42:04archipelos at some point in prehistory
  1143. 42:07there's some kind of cultural
  1144. 42:09homogenization either initially where
  1145. 42:11only one group of people founded that
  1146. 42:13island or something happens and and the
  1147. 42:15island is homogeneized. Not this place.
  1148. 42:17There's so many different languages and
  1149. 42:18cultures and uh throughout uh prehistory
  1150. 42:21they're trading things. They're in
  1151. 42:22contact with each other. They're trading
  1152. 42:24sculptures uh carving forms, poems, sand
  1153. 42:28drawings, the rights to do different
  1154. 42:29things. And they're doing this while
  1155. 42:31maintaining cultural diversity. And so
  1156. 42:33in some ways, I think this is a really
  1157. 42:35neat model for globalization. How can
  1158. 42:37you be in contact with people without
  1159. 42:39losing your cultural identity and be
  1160. 42:41functional? All right. Um, currently
  1161. 42:43about 25% of the the population is
  1162. 42:45urban, which means you either live in
  1163. 42:47Port Villa on on a fate or in Luganville
  1164. 42:50on Sto. Um but there's the majority of
  1165. 42:53the people are still uh rural and
  1166. 42:55there's big gradients in development and
  1167. 42:58that's why uh we're working there. We
  1168. 43:00want to know what happens when you start
  1169. 43:02controlling malaria and then chronic
  1170. 43:05disease starts coming up with
  1171. 43:06modernization. To give you a feel of of
  1172. 43:08some of these differences um these are
  1173. 43:10the five islands that we worked on last
  1174. 43:12summer. Um in 2007 we worked on three of
  1175. 43:14these. Um this last summer I was on the
  1176. 43:17same three again that are a subset of
  1177. 43:19these. I was on Umbai. Um, Ambai has
  1178. 43:22very little infrastructure. They still
  1179. 43:23have malaria. Um, it's very rural. Um,
  1180. 43:27and and most of it is is is very
  1181. 43:30uh hard to get around. No running water.
  1182. 43:33Uh, no electricity except for generators
  1183. 43:36in some small areas. Um, we also have an
  1184. 43:39island, Nuna, which is on the back side
  1185. 43:41of the main island, and it doesn't have
  1186. 43:43very much infrastructure. It still has
  1187. 43:45malaria. In a lot of ways, it's like
  1188. 43:47except the US just built this wonderful
  1189. 43:49road and you can get from the back side
  1190. 43:50of Afate uh over to uh the capital of
  1191. 43:53Port Villa in about an hour. And in Port
  1192. 43:56Villa, you're on a power grid. You have
  1193. 43:57Wi-Fi, you have supermarkets, you can
  1194. 44:00buy uh they had a dual French and
  1195. 44:02British colonialism. So, you can go into
  1196. 44:04one of these French grocery stores and
  1197. 44:05get 30 kinds of cheeses and and five
  1198. 44:08kinds of pate and 50 kinds of wine. You
  1199. 44:10can get anything you want in in Port
  1200. 44:12Villa. Um we also work in on a niche.
  1201. 44:16This is an island uh where my uh
  1202. 44:18colleague I mentioned uh eradicated
  1203. 44:19malaria in 1991 and they've been getting
  1204. 44:22increasing tourism. They've got this
  1205. 44:24little atole uh where they they make all
  1206. 44:27the the tourists stay and they've built
  1207. 44:29this this complex now that now has like
  1208. 44:31six flush toilets. There's only one
  1209. 44:33flush toilet on the main island, but
  1210. 44:34there's six for the tourists. And
  1211. 44:36there's these big markets where they'll
  1212. 44:37braid the tourist hair and they'll sell
  1213. 44:39them little knickknacks or take them out
  1214. 44:40game fishing. And so every time the
  1215. 44:43tourist boat comes in, and now next year
  1216. 44:45it's going to be 70 70 times a year,
  1217. 44:48they drop anchor and they pay the
  1218. 44:49village association
  1219. 44:51$5,000. And then they go off and they
  1220. 44:55they spend another maybe $5,000 on on
  1221. 44:57the hair braiding knickknacks and then
  1222. 44:59they spend another $10,000 on the
  1223. 45:01fishing tours uh and other things. So
  1224. 45:04every time one of these these cruise
  1225. 45:05boats come in, they get like $20,000 of
  1226. 45:07hard currency. So this place has been
  1227. 45:09changing really rapidly. Uh, in 2007
  1228. 45:11there were three generators on the
  1229. 45:12island. 2011 there were 29 generators on
  1230. 45:16the island. This last summer I was there
  1231. 45:18a month ago and everybody's switching to
  1232. 45:20solar. Um, and and it everything is just
  1233. 45:24leaps and bounds. Everybody has cell
  1234. 45:26phones now. They never had cell phones
  1235. 45:27in 2007. Even now, this last summer,
  1236. 45:30little kids, five, sixy old kids have
  1237. 45:32cell phones. They don't they don't work
  1238. 45:34as cell phones. They work as little
  1239. 45:36iPods or something. They play games on
  1240. 45:37them because their parents when they get
  1241. 45:38new cell phones they give their kids
  1242. 45:40their old ones. So these kids are
  1243. 45:42running around playing games and taking
  1244. 45:43pictures. Um and then we also went to
  1245. 45:46Futuna, this this Polynesian outlier
  1246. 45:48island and and this is interesting
  1247. 45:49because it's just a a small rock
  1248. 45:51sticking out of the the ocean and it's
  1249. 45:53so rugged um that they've never had
  1250. 45:55malaria because they don't have any
  1251. 45:56standing water. The water just kind of
  1252. 45:58runs right down. So this is a population
  1253. 46:00with no infrastructure but no malaria.
  1254. 46:02So these are the kind of the five
  1255. 46:03islands that we've been looking at in
  1256. 46:05terms of modernization. Uh no
  1257. 46:06infrastructure in malaria. Uh no infra
  1258. 46:09uh no direct infrastructure in malaria
  1259. 46:12but access to the main capital. Um
  1260. 46:14increasing tourism, no malaria. Uh no
  1261. 46:18malaria, low infrastructure and uh no
  1262. 46:20malaria and lots of
  1263. 46:22infrastructure. This is some preliminary
  1264. 46:24data from last year. What you see this
  1265. 46:26is the obesity rate. And when you go
  1266. 46:28from no infrastructure and malaria,
  1267. 46:30there's only about 7% um obesity. Same
  1268. 46:34with Futuna, the rugged one without
  1269. 46:35malaria. You go to the one with
  1270. 46:37increasing tourism, it's up to 14%. You
  1271. 46:39go to the backside of a fate, it's up to
  1272. 46:4122%. When you go to the town, it's 34%.
  1273. 46:44It's like the US. So the the rate even
  1274. 46:47within this small archipelago where
  1275. 46:48there's only 240,000 people, you're
  1276. 46:50seeing the gradients from from
  1277. 46:52subsistence agriculture and and very
  1278. 46:54healthy people in terms of chronic
  1279. 46:55disease to situations that are not
  1280. 46:58unlike Australia or Europe or the United
  1281. 47:00States. And when we did a survey, one of
  1282. 47:02my graduate students is really
  1283. 47:03interested in internet addiction. So we
  1284. 47:05wanted to look at technology acquisition
  1285. 47:07and usage. Um I'll just have you focus
  1286. 47:10on this one line. Um has 40 last year
  1287. 47:13now I haven't looked at the data from
  1288. 47:15this year but at that time there were
  1289. 47:1642% of the people the adults had had
  1290. 47:18cell phones in Futuna there was 21 a
  1291. 47:21nitro there's 65 Nuna 78. Aat had 81%.
  1292. 47:26So again this is like the US 81% of the
  1293. 47:28people have cell phones. The interesting
  1294. 47:30thing, Futuna didn't even have a cell
  1295. 47:31tower last year and 21% of the people
  1296. 47:33had cell
  1297. 47:34phones and they were either using them
  1298. 47:36as iPods or you know these are the
  1299. 47:38people that were moving back and forth
  1300. 47:40and they spent a lot of time on other
  1301. 47:42islands so they they had cell phones but
  1302. 47:4421% when they don't even have cell tower
  1303. 47:46was high but all of these other things
  1304. 47:47are are correlated with that. So, the
  1305. 47:49more time you s spend sitting around on
  1306. 47:52your computer and not going out growing
  1307. 47:54your food, the more time you spend
  1308. 47:55eating storebought food are correlated
  1309. 47:57with these these obesity
  1310. 47:58rates. Um, this is just same data except
  1311. 48:01for splitting it up into males and
  1312. 48:03females, young adults and and older
  1313. 48:05adults. Uh, this red line right here is
  1314. 48:08overweight, a BMI of 25. And you notice
  1315. 48:12that most of the young men are fairly
  1316. 48:13fit, but the older men as you get more
  1317. 48:16and more infrastructure start moving
  1318. 48:17into the the on average into the
  1319. 48:19overweight category. And females is is
  1320. 48:22exaggerated. Um this this solid line
  1321. 48:25right here is the obesity rate. Again,
  1322. 48:27younger women are in general more fit
  1323. 48:29than the older women, but by the time
  1324. 48:30you get out to a fate where they have
  1325. 48:32the power grid and everything else, the
  1326. 48:34average woman, older woman is obese. So
  1327. 48:37these are very big differences uh
  1328. 48:39between men and women and one thing that
  1329. 48:41we know happens um with modernization
  1330. 48:44and the increase of chronic disease is a
  1331. 48:47a reduction of the age of menarchy. So
  1332. 48:49if we look over the last 150 years in
  1333. 48:51Europe and America where we have this
  1334. 48:52data um back in 1860 the average woman
  1335. 48:56in in Europe and America is getting
  1336. 48:57their first period somewhere around 15
  1337. 48:5916 years old and now it's down to 12 and
  1338. 49:01a half and this happens over 150 years
  1339. 49:04and part of this has to do with
  1340. 49:05energetics. the the body has so much
  1341. 49:07energy it starts telling them that
  1342. 49:09they're they're it's time to reproduce,
  1343. 49:11right? So, their bodies are maturing
  1344. 49:13faster than their minds are in the
  1345. 49:15developing world. This is this is our
  1346. 49:17data from last summer. We asked all the
  1347. 49:19the the women in our survey when you had
  1348. 49:21your first period and this is broken
  1349. 49:23down by age groups. So, the oldest women
  1350. 49:25they had their first period around 15 16
  1351. 49:28then it drops down to around 15 and then
  1352. 49:30the youngest class is down to 13 and a
  1353. 49:32half. So within a few maybe one
  1354. 49:35generation, we're seeing the changes
  1355. 49:37that happened over 150 years in Europe
  1356. 49:41and America happening in Vanuatu due to
  1357. 49:44modernization. They're getting so much
  1358. 49:46energy. And this is you put the cell
  1359. 49:48phones together with the the the age of
  1360. 49:50menarchy and this is a big problem
  1361. 49:52because now the teenage pregnancy rate
  1362. 49:54is going up and also the the rate of
  1363. 49:57sexually transmitted infections is going
  1364. 49:59up because all these young people and we
  1365. 50:01have a we have a technology generation
  1366. 50:03gap in this country. Young kids are are
  1367. 50:05much more um uh competent at using these
  1368. 50:09devices than older people but more so in
  1369. 50:11Vanuatu. A lot of these older people,
  1370. 50:13they're they're barely literate. Whereas
  1371. 50:14the young kids, they they pick up these
  1372. 50:16cell phones and they're making dates in
  1373. 50:17the bush and not telling their parents
  1374. 50:19where they're going. And you know,
  1375. 50:20they're forming all these networks with
  1376. 50:22with maybe some good consequences. But
  1377. 50:24in in in what I'm seeing in the sexually
  1378. 50:26transmitted infections, there's also
  1379. 50:28some a dark side of this. And um this is
  1380. 50:31this is an increasing problem.
  1381. 50:34Um, getting back to this idea that that
  1382. 50:37the males are somehow uh showing less uh
  1383. 50:40chronic disease or obesity than the
  1384. 50:42females, I started thinking about this
  1385. 50:43and and I've been working in Vonowatu
  1386. 50:45now for 12 years. And one of the things
  1387. 50:47that I know that the males are doing
  1388. 50:48that the females aren't doing is um
  1389. 50:51drinking the ritual drug cava almost
  1390. 50:54every night. And cava is um uh is a
  1391. 50:58root. You take it out fresh, you clean
  1392. 51:00it up, you grind it up. In in the
  1393. 51:02northern islands, you take a piece of
  1394. 51:04coral and you araid it and you you
  1395. 51:06strain it and you drink it. Um, in the
  1396. 51:08southern islands, you actually chew it
  1397. 51:10up and spit it out and then take that
  1398. 51:12and mix it with water and you drink
  1399. 51:13that. And um, what it does is it it's a
  1400. 51:17a postnaptic neuroinhibitor. It makes
  1401. 51:19your body really loose and it's a muscle
  1402. 51:22relaxant. Um, if you drink a lot of it,
  1403. 51:24you lose control of your body and it's
  1404. 51:26very hard to walk, very easy to fall
  1405. 51:28down, but your mind is still kind of
  1406. 51:30lucid. You get sensitive to light and
  1407. 51:32sound. U, but it makes you very calm.
  1408. 51:35And it's probably why Vanuatu has one of
  1409. 51:37the lowest crime rates in the Pacific
  1410. 51:40because most young males are sedated
  1411. 51:42every night of the year. And if you
  1412. 51:44sedate all your young males, crime
  1413. 51:46somehow goes down.
  1414. 51:48Um so but the other thing it does is it
  1415. 51:50also is an appetite suppressant and it's
  1416. 51:53actually marketed uh well was marketed
  1417. 51:55around the world as a an herbal um
  1418. 51:59herbal Valium uh relaxant anti-anxiety
  1419. 52:02compound um until there was a a few
  1420. 52:04cases of liver failure a few years ago
  1421. 52:06and we can go into that later but um but
  1422. 52:09it it it uh kind of suppresses your
  1423. 52:11appetite. It's been marketed in Japan as
  1424. 52:12a diet pill. Um so when you drink cava
  1425. 52:15you don't really eat much. So I was
  1426. 52:17thinking maybe this has something to do
  1427. 52:18with this difference between males and
  1428. 52:19females. So last year we went out and we
  1429. 52:21asked people how many people were
  1430. 52:22drinking cava and how often they're
  1431. 52:24drinking cava. And what we found is yes
  1432. 52:27almost all the males over 70% of the the
  1433. 52:30males in most islands are drinking cava
  1434. 52:32almost every night five or six times a
  1435. 52:34week whereas the females not so much.
  1436. 52:37One island by the the older women drink
  1437. 52:39a lot of cava. Um I went back this year
  1438. 52:41and I actually asked them how many how
  1439. 52:43much cava they're drinking each time
  1440. 52:44they drink cava. And the women on Umbi
  1441. 52:46are drinking a lot of cava almost every
  1442. 52:48night just like the guys in most
  1443. 52:49islands. The women in Umbai are also the
  1444. 52:51thinnest ones. So there's something
  1445. 52:53about taking an appetite suppressant
  1446. 52:55every night and and maintaining your
  1447. 52:58weight. And this this now can be a a
  1448. 53:01problem with modernization because the
  1449. 53:03other thing that vonatu does as it plugs
  1450. 53:05into the rest of the world is it's part
  1451. 53:07of this Pacific music reae Caribbean
  1452. 53:10reae culture. And uh this is uh uh
  1453. 53:14Ocean, this son of a missionary from
  1454. 53:16California who grew up in New Guinea and
  1455. 53:18now spends half his time in New Guinea
  1456. 53:20and Hawaii and he's one of the biggest
  1457. 53:21music stars in in the Pacific hanging
  1458. 53:23out with Ziggy Marley. Um this is a
  1459. 53:26Vanuatu flag. This is a a reggae band
  1460. 53:28from Vanuatu and they've replaced uh the
  1461. 53:30pigs tus with a marijuana leaf. Um these
  1462. 53:34are different reggae bands. This is one
  1463. 53:35of my uh survey assistants with his dog
  1464. 53:38Ganja on on a nightm and so we also
  1465. 53:42asked the guys do you smoke ganja and on
  1466. 53:45every island the young men said yes
  1467. 53:47about five to 15 um on one island uh
  1468. 53:50almost 30% of the guys young guys on on
  1469. 53:53Nichim are are smoking ganja. So there's
  1470. 53:56now there's a kind of a switch from cava
  1471. 53:58to ganja and if you go from an appetite
  1472. 54:00suppressant to something that
  1473. 54:02creates munchies then maybe that
  1474. 54:04protective effect uh from ganja is going
  1475. 54:06to go down. All right so the last from
  1476. 54:09cava is going to go down. The last thing
  1477. 54:10I want to tell you is what I did this
  1478. 54:12summer. Um we were wondering about how
  1479. 54:14chronic disease is affected by diet.
  1480. 54:16Eating fish, eating fruit bats, pigs,
  1481. 54:19octopus, lobsters, uh sharks. um as
  1482. 54:23those diets change to a more modern
  1483. 54:25diet, what is happening to your
  1484. 54:26microbiome? This this one to two liters
  1485. 54:28of bacteria that live in your your uh
  1486. 54:30intestines and is fed by all the things
  1487. 54:32that you don't digest. And so what I did
  1488. 54:35was I collected from three of these
  1489. 54:36islands on uh a niche and and uh Ericore
  1490. 54:41um saliva samples and also tooth swabs
  1491. 54:43to take a look at what are the bacteria
  1492. 54:45living in people's mouths and how that
  1493. 54:47is u correlated with their diets. We we
  1494. 54:50took dietary recalls which we also have
  1495. 54:52from
  1496. 54:532007201 and we're going to compare the
  1497. 54:55the microbiome data to their diet data
  1498. 54:58and their chronic disease diet. And uh
  1499. 55:00maybe next time I come I'll have
  1500. 55:01something to tell you about that. And uh
  1501. 55:03I'll finish by just acknowledging all
  1502. 55:05the people that we've been working with
  1503. 55:06in Vanuatu. um uh my graduate students
  1504. 55:09and my my uh colleague Ralph Gerudo and
  1505. 55:12my lab manager Rita and all the people
  1506. 55:15in Vanuatu who help us out when we're
  1507. 55:17there and my colleague Chuck Whites from
  1508. 55:18Temple University and funding from NIH
  1509. 55:21Winter Grant and Bingmpington
  1510. 55:22University. And with that um I'll take
  1511. 55:24any questions you might have.
  1512. 55:28[Applause]
  1513. 55:32With the spread of Could you repeat?
  1514. 55:35Okay. With the spread of mosquitoes,
  1515. 55:38yes, from island to island or from
  1516. 55:40continent to continent. Um, is it the
  1517. 55:43same with the spread of cockroaches?
  1518. 55:49Cockroaches and mosquitoes. Um,
  1519. 55:52is it the eggs that that I'm I I don't
  1520. 55:56think so. I mosquitoes are Oh, sorry.
  1521. 55:59The spread of mosquitoes. How is that
  1522. 56:01similar to the spread of cockroaches?
  1523. 56:02Cockroaches have dry eggs that can last
  1524. 56:04for a long time. Whereas the mosquitoes,
  1525. 56:06we think what's happening is they're
  1526. 56:08actually being distributed in water. So
  1527. 56:10I found them in the bottoms of canoes
  1528. 56:12and the one that gets all the way out to
  1529. 56:14Vanoatu is the salt tolerant one. And
  1530. 56:16this one can live in brackish water and
  1531. 56:17also in seawater and still develop
  1532. 56:19normally. So we think that the
  1533. 56:21prehistoric transmission was in in
  1534. 56:23boats. Um recently since World War II,
  1535. 56:25Guam has something like seven introduced
  1536. 56:27mosquito species probably due to World
  1537. 56:30War II. So, I think the mosquitoes is
  1538. 56:32more moving around wet things either
  1539. 56:35moving around like um uh live plants or
  1540. 56:39the other big one is there's a a trade
  1541. 56:41in used tires and rain gets in these
  1542. 56:42tires and they're really good breeding
  1543. 56:44spaces for for mosquitoes. Um but most
  1544. 56:47of the anophles they don't do so well in
  1545. 56:50non fresh running water. So, it has to
  1546. 56:52be pretty rapid. So, they don't transmit
  1547. 56:55through boats or they don't they don't
  1548. 56:57get out to places very easily. And
  1549. 56:59that's why maybe Vanoatu is the last
  1550. 57:01place. It never gets down to New
  1551. 57:02Calonia. It never gets down to Fiji.
  1552. 57:04Those distances are a little bit longer.
  1553. 57:07Um to get down to New Calonia, you have
  1554. 57:08to go through these upraised coral reef
  1555. 57:10islands without much fresh
  1556. 57:12water. But I think it's a a very
  1557. 57:15different process. But you know, Hawaii
  1558. 57:17now has has a lot of mosquitoes and that
  1559. 57:20was historically from I think a
  1560. 57:21Portuguese or a Spanish ship dumped out
  1561. 57:23their water and they had mosquito larvae
  1562. 57:25in there. So if you were in Hawaii 150
  1563. 57:28years ago, there were no mosquitoes and
  1564. 57:29that would have been really nice.
  1565. 57:31Y just a quick
  1566. 57:35question. Second, just a point of
  1567. 57:37information, your slide about diet
  1568. 57:40and changing. Yep.
  1569. 57:44Back in the ancient
  1570. 57:49days, we used to simply correlate that
  1571. 57:52with body fat.
  1572. 57:55fatty fat relative to muscle and it
  1573. 57:58carried explained huge variety of
  1574. 58:01factors why South African bushman
  1575. 58:08usually age was like 17
  1576. 58:16and you could go to things as recent as
  1577. 58:18the Olympics and look at all these girls
  1578. 58:20doing these incredible gymnastics and
  1579. 58:22many of them don't straight until Right.
  1580. 58:24So it was a nice cut and dried
  1581. 58:26explanation. You introduced another term
  1582. 58:27for that matter energetics. I'm
  1583. 58:29wondering what is the difference? What
  1584. 58:31has changed since 20 years? Nothing.
  1585. 58:34It's body fat and energy usage. Oh,
  1586. 58:36sorry. It Yeah. age of menarchy and how
  1587. 58:39that affects how that's correlated with
  1588. 58:41just body fat or exercise. And I that's
  1589. 58:43what I'm talking about. You know, your
  1590. 58:45energy in versus your energy out. Um,
  1591. 58:48yeah, if you're you're a female athlete
  1592. 58:49and you have less than I think 7% body
  1593. 58:52fat, then you you stop menrating. Um,
  1594. 58:55and so I think that's that's what's
  1595. 58:57driving this that people start becoming
  1596. 58:58more sedentary. They're they're not
  1597. 59:01going to their gardens, they're not
  1598. 59:02growing their own food. Uh, they're also
  1599. 59:05going to stores and buying more energy
  1600. 59:07dense food. So less activity, more
  1601. 59:10energy. Um, and so the the age of
  1602. 59:13metarchy is dropping. And so we in our
  1603. 59:16other uh surveys in 2007 and 2011, we
  1604. 59:19also looked at activity, we looked at
  1605. 59:21diet, we looked at material possessions.
  1606. 59:24Um so we're we're trying to look at all
  1607. 59:26those different variables to try to
  1608. 59:28figure out what are the most important
  1609. 59:29ones because
  1610. 59:31uh chronic disease is the biggest
  1611. 59:33expense for for our healthcare in the
  1612. 59:35United States, but vanatu doesn't have
  1613. 59:37any money. You know, if they if they go
  1614. 59:39down that same path, then they're in
  1615. 59:41they're in big trouble. So, if we can
  1616. 59:43figure out ways to do education and
  1617. 59:45prevention before it it's it gets worse,
  1618. 59:49then we're ahead of the game. But if we
  1619. 59:51don't, then maybe the game is over
  1620. 59:54because there's there's already 25% of
  1621. 59:55the population that is in this state.
  1622. 59:5875% are still okay.
  1623. 1:00:03Uh you mentioned the human bile which
  1624. 1:00:06seems to be a hot research topic the
  1625. 1:00:07last few years and
  1626. 1:00:10um
  1627. 1:00:12apparently you digestion is through the
  1628. 1:00:16billion small intestines but apparently
  1629. 1:00:19uh the biome that
  1630. 1:00:23digest material is ordinarily this fiber
  1631. 1:00:26in our large intestines. People are
  1632. 1:00:28talking about absorption of those. Maybe
  1633. 1:00:30we need some of that. But tell me
  1634. 1:00:33something about that about the about the
  1635. 1:00:36u the human the biome digesting and to
  1636. 1:00:40what extent it's absorbed by the human
  1637. 1:00:42body. Well, I sorry. So she's asking
  1638. 1:00:46about the microbiome and digestion small
  1639. 1:00:49versus large intestine. These things
  1640. 1:00:50that we used to think about as just
  1641. 1:00:52fiber that were somehow good as a just a
  1642. 1:00:55physical movement of things through your
  1643. 1:00:57intestine are now thought to be actually
  1644. 1:00:59feeding a diverse uh community of
  1645. 1:01:02organisms. So I guess the idea is my
  1646. 1:01:05idea my understanding is that you have
  1647. 1:01:07this ecosystem within you and you're
  1648. 1:01:09feeding that ecosystem in in addition to
  1649. 1:01:11feeding yourself. So, if you only eat
  1650. 1:01:13very easily digestible things um that
  1651. 1:01:16you digest, then you're starving off
  1652. 1:01:18this this vast array of things that
  1653. 1:01:20could potentially be inside of your your
  1654. 1:01:22intestine. And those are the things that
  1655. 1:01:23we presumably evolved with. And so, if
  1656. 1:01:27you're going around and only feeding
  1657. 1:01:28yourself and and being selfish in a way
  1658. 1:01:30and not feeding these other things, then
  1659. 1:01:33you're you're going without half your
  1660. 1:01:34digestive system. And so uh they're
  1661. 1:01:38associated with a lower diversity of
  1662. 1:01:39these these organisms are things like
  1663. 1:01:41irritable bowel syndrome, potentially
  1664. 1:01:43Crohn's disease. A lot of these
  1665. 1:01:44autoimmune functions of the intestine
  1666. 1:01:46are are are uh maybe influenced by a
  1667. 1:01:50lack of these diverse organisms that we
  1668. 1:01:52evolved with. And so that's why we're
  1669. 1:01:55we're we have this nice gradient. We
  1670. 1:01:57already know something about the rates
  1671. 1:01:58of chronic disease. We already know
  1672. 1:01:59something we think about their diets.
  1673. 1:02:02Um, and so we'd like to see how the
  1674. 1:02:04microbiome diversity correlates with
  1675. 1:02:06those things. The other interesting
  1676. 1:02:08thing that I I didn't really mention,
  1677. 1:02:09but I I touched on is the other thing is
  1678. 1:02:11that in the southern parts of the
  1679. 1:02:12island, these guys are chewing cava and
  1680. 1:02:14spitting it out, and then everybody sits
  1681. 1:02:15around and drinks that. So, you're also
  1682. 1:02:17sharing your microbiomes with each other
  1683. 1:02:19as you drink cava. So, one of the things
  1684. 1:02:21that we did as a group um when we went
  1685. 1:02:23out there was we we did sampled our
  1686. 1:02:26microbiome before we left the US. Well,
  1687. 1:02:28two of us left the US, two of us left
  1688. 1:02:29Japan. And then once we got there, we
  1689. 1:02:32sampled it again. Then we went down to
  1690. 1:02:33the southern islands and drank cava that
  1691. 1:02:35people had chewed and we sampled it
  1692. 1:02:36again. Then we went to the northern part
  1693. 1:02:38uh where they ground cava and we sampled
  1694. 1:02:41it again. So what is the effect of cava
  1695. 1:02:43on your microbiome? What is the effect
  1696. 1:02:44of drinking cava that somebody else has
  1697. 1:02:46chewed on your microbiome? How long do
  1698. 1:02:48does it take to be in another
  1699. 1:02:50environment being exposed to these
  1700. 1:02:51different uh organisms that are not
  1701. 1:02:53potentially washed off? You know, these
  1702. 1:02:55we're not going to a supermarket where
  1703. 1:02:57things are, you know, sterilized
  1704. 1:02:58somehow. These are, you know, things
  1705. 1:03:00picked off of a a tree and kind of
  1706. 1:03:02washed in a river and then you eat them.
  1707. 1:03:04So you're you're getting a lot of things
  1708. 1:03:05from the environment in these different
  1709. 1:03:07areas and and so one aspect of this is
  1710. 1:03:09traveler's diarrhea. Is traveler's
  1711. 1:03:11diarrhea just coming into a new place
  1712. 1:03:13and finding an equilibrium with what
  1713. 1:03:15around you and what you have, right? So
  1714. 1:03:17how quickly can these things kind of
  1715. 1:03:19change and how flexible are they?
  1716. 1:03:20because everybody's born with nothing
  1717. 1:03:22and then you get something when you're
  1718. 1:03:23breastfeeding or your early age and some
  1719. 1:03:25of the studies have shown that all
  1720. 1:03:27breastfeeding babies around the world
  1721. 1:03:29have the same things in their gut. It's
  1722. 1:03:31only when they they start weaning and
  1723. 1:03:33getting these region specific diets that
  1724. 1:03:35the diversity of those things
  1725. 1:03:36change. But how fast does it change in
  1726. 1:03:39somebody with an already established
  1727. 1:03:41microbiome? How resistant is that to
  1728. 1:03:43change? Do you have to just go to some
  1729. 1:03:45place and eat local foods or do you have
  1730. 1:03:47to um physically take in someone's
  1731. 1:03:50saliva by whatever means to to to change
  1732. 1:03:54your microbiome?
  1733. 1:03:57So we we kind of did that as a a side
  1734. 1:03:59project. We monitored our own
  1735. 1:04:00microbiomes as we did these things. Did
  1736. 1:04:03you take antibiotics or do you want
  1737. 1:04:05mention the researchers got diarrhea?
  1738. 1:04:09Uh I I didn't take any like
  1739. 1:04:14If there is no other questions, uh,
  1740. 1:04:16please join me to thank Professor L
  1741. 1:04:19again. Thank you for coming. This has
  1742. 1:04:22been a presentation of the Library of
  1743. 1:04:24Congress. Visit us at loc.gov.

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