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These are the user uploaded subtitles that are being translated: 1 00:00:05,728 --> 00:00:08,463 (theme music playing) 2 00:00:08,548 --> 00:00:11,966 This week on VICE, Boko Haram's campaign of terror 3 00:00:12,102 --> 00:00:14,051 spreads across Africa. 4 00:00:14,137 --> 00:00:15,887 (men shouting) 5 00:00:20,643 --> 00:00:22,810 Behind me is a compound 6 00:00:22,946 --> 00:00:25,062 which two days ago was the site 7 00:00:25,148 --> 00:00:26,981 of a suicide attack. 8 00:00:27,066 --> 00:00:29,317 And then, advances with our genetic code 9 00:00:29,452 --> 00:00:33,287 are changing the future of human evolution. 10 00:00:33,373 --> 00:00:35,823 We're at the National Resource Center for Mutant Mice. 11 00:00:35,959 --> 00:00:39,160 They're editing the mouse embryos right here. 12 00:00:39,295 --> 00:00:41,045 The couple wants a baby with blue eyes. 13 00:00:41,164 --> 00:00:42,663 They said, "Can we get a boy, 14 00:00:42,749 --> 00:00:44,632 and can the boy have blue eyes?" 15 00:00:50,590 --> 00:00:51,923 (gunshot) 16 00:00:56,179 --> 00:00:59,063 (crowd chanting) 17 00:00:59,183 --> 00:01:05,614 Sync & corrections by honeybunny www.addic7ed.com 18 00:01:06,022 --> 00:01:08,489 The deadliest terror group in the world today 19 00:01:08,575 --> 00:01:10,491 isn't ISIS or Al Qaeda. 20 00:01:10,577 --> 00:01:12,410 According to a recent report, 21 00:01:12,529 --> 00:01:15,696 it's the Nigerian terrorist group Boko Haram. 22 00:01:15,832 --> 00:01:18,699 And even after six years of war with the military, 23 00:01:18,835 --> 00:01:21,369 Boko Haram is as deadly as ever, 24 00:01:21,454 --> 00:01:23,287 finding new ways to implement 25 00:01:23,373 --> 00:01:25,790 their terror tactics in the region. 26 00:01:34,434 --> 00:01:36,350 This pile of rubble that I'm standing on 27 00:01:36,436 --> 00:01:39,303 was Mohammed Yusuf, the founder of Boko Haram's mosque. 28 00:01:39,389 --> 00:01:40,805 Book Haram began 29 00:01:40,890 --> 00:01:43,891 right here at this very spot as a religious movement. 30 00:01:44,027 --> 00:01:46,694 Yusuf preached hard-line Islam. 31 00:01:46,779 --> 00:01:49,230 The name "Boko Haram" roughly translates 32 00:01:49,315 --> 00:01:51,065 to "Western education is sinful." 33 00:01:51,201 --> 00:01:53,067 But he was also an outspoken critic 34 00:01:53,152 --> 00:01:56,604 of government corruption and was accused of leading 35 00:01:56,706 --> 00:01:59,207 violent attacks against authorities. 36 00:02:06,799 --> 00:02:10,918 The police executed him without trial in 2009. 37 00:02:11,054 --> 00:02:13,170 I wanted to get the government's perspective 38 00:02:13,256 --> 00:02:16,057 on how Yusuf's death contributed to Boko Haram's rise, 39 00:02:16,142 --> 00:02:18,092 so we spoke to Nigeria's president 40 00:02:18,228 --> 00:02:20,928 Muhammadu Buhari. 41 00:02:21,064 --> 00:02:24,065 (speaking English) 42 00:02:41,417 --> 00:02:44,535 Boko Haram's new leader, Abubakar Shekau, 43 00:02:44,621 --> 00:02:47,872 used that sense of injustice to transform the group 44 00:02:47,957 --> 00:02:50,341 into a fearsome paramilitary force 45 00:02:50,460 --> 00:02:52,960 that in 2015 controlled 46 00:02:53,046 --> 00:02:57,131 thousands of square miles of Nigerian territory. 47 00:02:57,267 --> 00:02:59,800 When I reported on this story in March last year, 48 00:02:59,886 --> 00:03:02,436 the Nigerian army was engaged in a full-scale 49 00:03:02,522 --> 00:03:05,439 military campaign against the group. 50 00:03:13,032 --> 00:03:16,150 Since that report, Boko Haram has gone underground, 51 00:03:16,235 --> 00:03:19,120 embracing terrorist guerrilla tactics instead. 52 00:03:19,205 --> 00:03:22,623 In 2015, thousands of more people died 53 00:03:22,709 --> 00:03:25,326 in more than 230 attacks. 54 00:03:25,461 --> 00:03:27,161 So I went back to Nigeria 55 00:03:27,297 --> 00:03:29,580 to see how the face of this conflict has changed. 56 00:03:29,666 --> 00:03:31,499 I spoke to Kashim Shettima, 57 00:03:31,634 --> 00:03:35,469 the governor of the hardest-hit state. 58 00:03:35,555 --> 00:03:38,389 How do you categorize how the war, 59 00:03:38,508 --> 00:03:40,591 or the conflict, is progressing? 60 00:03:40,677 --> 00:03:43,477 (speaking English) 61 00:04:05,201 --> 00:04:07,084 Kaj Larsen: But that's a daunting task, 62 00:04:07,203 --> 00:04:09,337 considering how difficult it is to figure out 63 00:04:09,372 --> 00:04:11,622 who actually is Boko Haram. 64 00:04:11,708 --> 00:04:14,792 I'm in this heavily armed convoy of about 30 vehicles, 65 00:04:14,877 --> 00:04:17,044 including an armored personnel carrier. 66 00:04:17,180 --> 00:04:19,013 And this road, which has been 67 00:04:19,098 --> 00:04:21,048 frequently attacked by the insurgents, 68 00:04:21,134 --> 00:04:23,050 leads to the Sambisa Forest. 69 00:04:23,136 --> 00:04:27,104 Sambisa Forest is the last known stronghold of Boko Haram. 70 00:04:27,223 --> 00:04:29,056 The governor had come to this village, 71 00:04:29,192 --> 00:04:31,058 newly recaptured from Boko Haram, 72 00:04:31,194 --> 00:04:33,144 to calm the local population. 73 00:04:33,229 --> 00:04:34,695 But the residents here 74 00:04:34,781 --> 00:04:37,198 had already taken matters into their own hands. 75 00:04:37,283 --> 00:04:39,400 (men shouting) 76 00:04:39,535 --> 00:04:42,703 I heard that they arrested four Boko Haram in this village. 77 00:04:42,789 --> 00:04:45,039 They've put them, like, on parade. 78 00:04:46,709 --> 00:04:48,292 What's wrong with these guys? 79 00:04:48,411 --> 00:04:50,327 What's wrong with his friends? 80 00:05:02,725 --> 00:05:04,925 Tell me about these guys. Who are these guys? 81 00:05:06,896 --> 00:05:08,979 Why did they come? 82 00:05:13,352 --> 00:05:15,236 Larsen: One of the key elements 83 00:05:15,321 --> 00:05:17,271 of fighting this counter-insurgency 84 00:05:17,407 --> 00:05:19,190 has been civilian militia 85 00:05:19,275 --> 00:05:21,275 capturing a lot of the members of Boko Haram 86 00:05:21,411 --> 00:05:23,444 and turning them over to the military. 87 00:05:23,579 --> 00:05:25,362 You know him? 88 00:05:25,448 --> 00:05:26,697 How? 89 00:05:32,038 --> 00:05:33,359 Man: Many Boko Haram they caught-- 90 00:05:33,456 --> 00:05:35,122 they will mention this particular person. 91 00:05:35,208 --> 00:05:37,124 Man #2: He's a bad type, notorious. 92 00:05:37,260 --> 00:05:38,342 He's notorious? 93 00:05:38,461 --> 00:05:40,294 Man #3: Very dangerous, very dangerous. 94 00:05:40,430 --> 00:05:43,214 Larsen: What has this guy done that makes him so bad? 95 00:05:47,804 --> 00:05:50,471 He is their gang leader. 96 00:05:50,556 --> 00:05:52,973 He's killed people-- this guy? 97 00:05:55,144 --> 00:05:57,228 Yes, he is killing people. 98 00:06:01,701 --> 00:06:03,734 Larsen: As government forces detain more and more 99 00:06:03,820 --> 00:06:05,619 alleged Boko Haram members, 100 00:06:05,705 --> 00:06:09,240 innocent civilians are getting caught in the middle. 101 00:06:09,325 --> 00:06:11,826 Auto mechanic Saleh Isa Babawo 102 00:06:11,961 --> 00:06:13,828 was arrested last year and taken 103 00:06:13,913 --> 00:06:16,130 to Giwa Barracks-- the local jail. 104 00:06:22,505 --> 00:06:24,255 This is a burn? Yeah. 105 00:06:26,425 --> 00:06:27,391 Fuck. 106 00:06:27,510 --> 00:06:29,593 What is this? What happened here? 107 00:06:30,480 --> 00:06:32,012 Oh, from being tied up? 108 00:06:32,098 --> 00:06:34,482 It just ripped away your flesh? 109 00:06:34,567 --> 00:06:36,684 Do you think the conditions in Giwa Barracks-- 110 00:06:36,819 --> 00:06:39,770 the way they treat you and other innocent people-- 111 00:06:39,856 --> 00:06:44,074 has created a backlash against the security forces? 112 00:06:50,783 --> 00:06:53,501 Stories like this are just the tip of the iceberg. 113 00:06:53,586 --> 00:06:56,537 Lucy Freeman, an investigator for Amnesty International, 114 00:06:56,672 --> 00:06:59,039 says that in the hunt for Boko Haram, 115 00:06:59,125 --> 00:07:01,008 the military has been committing 116 00:07:01,093 --> 00:07:03,344 mass atrocities of its own. 117 00:07:03,429 --> 00:07:07,047 We recently released a report documenting 118 00:07:07,183 --> 00:07:09,550 very serious human rights violations by the military. 119 00:07:09,685 --> 00:07:11,886 We found that they had committed war crimes. 120 00:07:11,971 --> 00:07:13,854 One of the most horrific cases 121 00:07:13,940 --> 00:07:15,856 that we documented in this report 122 00:07:15,958 --> 00:07:18,058 was on the 14th of March, 2014. 123 00:07:18,160 --> 00:07:21,612 There's a large military detention center in Northeast Nigeria 124 00:07:21,731 --> 00:07:23,397 called Giwa Barracks. 125 00:07:23,533 --> 00:07:25,199 And on that day, Boko Haram came 126 00:07:25,284 --> 00:07:26,817 and attacked the barracks. 127 00:07:26,903 --> 00:07:29,987 They freed the prisoners there, over a thousand people. 128 00:07:30,072 --> 00:07:33,741 A large number of people tried to go home to their families. 129 00:07:33,876 --> 00:07:36,877 They were rounded up by the military and the civilian JTF, 130 00:07:36,963 --> 00:07:41,832 and we documented the execution of at least 620 of them. 131 00:07:41,918 --> 00:07:44,885 We received video footage from that particular day, 132 00:07:44,971 --> 00:07:48,639 which showed these men lined up next to a large pit. 133 00:07:48,758 --> 00:07:51,508 And a man dressed in military uniform 134 00:07:51,594 --> 00:07:53,811 then cuts their throat. 135 00:07:59,068 --> 00:08:01,852 None of those people have been brought to justice. 136 00:08:01,938 --> 00:08:04,154 Larsen: Abuses like this only strengthen 137 00:08:04,273 --> 00:08:05,689 Boko Haram's resolve. 138 00:08:05,775 --> 00:08:09,243 In 2015, more than 10,000 people were killed, 139 00:08:09,328 --> 00:08:11,829 making it the deadliest year yet. 140 00:08:11,948 --> 00:08:14,615 To get their point of view on the Giwa Barracks raid, 141 00:08:14,700 --> 00:08:16,500 we gained unprecedented access 142 00:08:16,619 --> 00:08:19,954 to an active Boko Haram commander and his deputy. 143 00:08:20,039 --> 00:08:22,423 How many members do you have? 144 00:08:25,962 --> 00:08:28,045 What's wrong with your leg? 145 00:08:29,265 --> 00:08:32,216 You have a bullet? How did that happen? 146 00:08:39,191 --> 00:08:41,775 Was this the attack on Giwa Barracks? 147 00:09:02,131 --> 00:09:04,498 Larsen: You're not afraid to fight with soldiers? 148 00:09:04,583 --> 00:09:06,750 You don't think you'll be killed? 149 00:09:10,473 --> 00:09:12,389 Larsen: We wanted to know if the commander 150 00:09:12,508 --> 00:09:15,843 was involved in the group's most infamous attack-- 151 00:09:15,928 --> 00:09:18,512 the kidnapping of nearly 300 girls 152 00:09:18,648 --> 00:09:20,431 from a school in Chibok, 153 00:09:20,516 --> 00:09:22,733 which sparked outrage around the world. 154 00:09:22,852 --> 00:09:26,437 Everybody is talking about the Chibok girls. 155 00:09:28,607 --> 00:09:29,740 Where are they? 156 00:09:29,859 --> 00:09:31,525 (chuckles) 157 00:09:45,841 --> 00:09:48,676 So they're now a bargaining chip? 158 00:09:57,186 --> 00:09:59,136 While the Chibok girls remain missing, 159 00:09:59,221 --> 00:10:02,356 this is far from an isolated incident. 160 00:10:02,441 --> 00:10:05,225 In the town of Yola, we met 16-year-old Zainab, 161 00:10:05,361 --> 00:10:07,111 who's one of thousands of women 162 00:10:07,229 --> 00:10:09,396 who have been abducted by Boko Haram. 163 00:10:36,592 --> 00:10:39,259 But they don't just marry these girls. 164 00:10:39,395 --> 00:10:42,312 They've begun using them in their attacks. 165 00:10:52,608 --> 00:10:55,359 (Zainab speaking) 166 00:11:00,783 --> 00:11:04,284 Zainab escaped after five months in captivity, 167 00:11:04,336 --> 00:11:08,372 but not before she was impregnated by one of her captors. 168 00:12:32,458 --> 00:12:34,875 Larsen: As the cycle of violence continues to build, 169 00:12:35,010 --> 00:12:37,628 it's now spilled outside of Nigeria's borders. 170 00:12:37,713 --> 00:12:40,714 Is Boko Haram spreading to the region? 171 00:12:57,566 --> 00:13:00,450 To see how far the fight had spread, 172 00:13:00,569 --> 00:13:02,236 I traveled to N'Djamena, Chad, 173 00:13:02,371 --> 00:13:05,956 where the conflict shows no signs of slowing down. 174 00:13:06,075 --> 00:13:08,075 Behind me is a compound 175 00:13:08,210 --> 00:13:10,077 which two days ago was the site 176 00:13:10,162 --> 00:13:13,830 of a bloody Boko Haram suicide attack. 177 00:13:13,916 --> 00:13:16,049 (flies buzzing) 178 00:13:33,018 --> 00:13:36,436 Did you find any materials or anything, any bomb-making materials? 179 00:13:42,161 --> 00:13:44,278 Larsen: What they found was a small arsenal 180 00:13:44,363 --> 00:13:47,281 intended to launch more of these attacks around Chad. 181 00:13:47,366 --> 00:13:49,917 This is an RPG round right here. 182 00:13:50,002 --> 00:13:54,121 This bag has, I'd estimate, like, 15 to 20 RPG rounds in it. 183 00:14:02,214 --> 00:14:05,132 As the hunt for Boko Haram escalates in Chad, 184 00:14:05,217 --> 00:14:08,635 these soldiers say that militants from around the region 185 00:14:08,771 --> 00:14:12,055 are still joining up to wage jihad. 186 00:14:12,141 --> 00:14:13,941 (whistling) 187 00:14:16,228 --> 00:14:19,363 Most of the Boko Haram-- they're Kanuri, right? 188 00:14:19,481 --> 00:14:21,982 (speaking English) 189 00:14:22,117 --> 00:14:23,233 Now it's everybody? 190 00:14:23,319 --> 00:14:25,235 From Mali, 191 00:14:25,321 --> 00:14:27,821 Bamako, Timbuktu? 192 00:14:27,957 --> 00:14:29,957 That's bad. 193 00:14:31,577 --> 00:14:33,493 It gets worse. Boko Haram, 194 00:14:33,629 --> 00:14:36,997 which killed more people in terror attacks than ISIS in 2014, 195 00:14:37,132 --> 00:14:39,883 has actually pledged allegiance to them, 196 00:14:40,002 --> 00:14:41,668 even renaming themselves 197 00:14:41,754 --> 00:14:44,588 the Islamic State's West Africa Province. 198 00:14:44,673 --> 00:14:47,341 This new alliance between Boko Haram and ISIS 199 00:14:47,476 --> 00:14:50,143 does not bode well for the region. 200 00:15:18,173 --> 00:15:20,540 Shane Smith: Since the beginning of life on Earth, 201 00:15:20,626 --> 00:15:23,543 evolution has been steered by the demands of survival 202 00:15:23,629 --> 00:15:25,512 in the natural world. 203 00:15:25,597 --> 00:15:27,464 However, today, new technology 204 00:15:27,549 --> 00:15:29,383 is completely upending that process, 205 00:15:29,468 --> 00:15:32,969 allowing us to alter different species as we go forward, 206 00:15:33,055 --> 00:15:35,555 including our own. 207 00:15:47,036 --> 00:15:49,317 So how is it that the mosquitoes are genetically modified? 208 00:15:49,321 --> 00:15:51,988 What's different about these guys than any other mosquitoes? 209 00:15:52,074 --> 00:15:54,791 (speaking English) 210 00:16:03,469 --> 00:16:05,869 Isobel Yeung: These mosquitoes have been genetically modified 211 00:16:05,921 --> 00:16:08,472 to breed with, and eliminate, their own species 212 00:16:08,590 --> 00:16:11,892 in an urgent attempt to wipe out carriers of dengue fever. 213 00:16:11,977 --> 00:16:15,345 Every week, 800,000 of these mosquitoes 214 00:16:15,431 --> 00:16:17,731 are being released into the wild. 215 00:16:17,816 --> 00:16:19,399 It's crazy to think 216 00:16:19,485 --> 00:16:21,902 that you're trying to solve the dengue fever problem 217 00:16:21,987 --> 00:16:25,572 by releasing so many mosquitoes into the wild. 218 00:16:29,078 --> 00:16:30,994 Yeung: Neighborhoods targeted by the program 219 00:16:31,113 --> 00:16:33,029 are seeing a more than 90% reduction 220 00:16:33,115 --> 00:16:34,998 in dengue-carrying mosquitoes. 221 00:16:35,117 --> 00:16:37,667 These doctored mosquitoes are part of a larger movement 222 00:16:37,786 --> 00:16:40,420 to produce animals that fight the diseases they spread. 223 00:16:40,506 --> 00:16:42,789 In Scotland, in the same facility 224 00:16:42,925 --> 00:16:44,458 that produced Dolly the sheep, 225 00:16:44,593 --> 00:16:46,293 the first-ever cloned animal, 226 00:16:46,378 --> 00:16:48,678 Dr. Bruce Whitelaw is trying to create pigs 227 00:16:48,797 --> 00:16:50,931 that are resistant to African swine fever. 228 00:16:51,016 --> 00:16:53,884 He's an expert in a field called transgenics. 229 00:16:53,969 --> 00:16:56,470 So what "transgenic" means 230 00:16:56,555 --> 00:16:59,973 is that you've taken a gene which you have constructed in the laboratory, 231 00:17:00,109 --> 00:17:03,226 and you've introduced it into the genome of the animal. 232 00:17:03,312 --> 00:17:05,395 When you look at this snout here, 233 00:17:05,481 --> 00:17:07,898 you'll see it's got a yellow tinge to it. 234 00:17:07,983 --> 00:17:09,566 Yeung: Hey, piggy, piggy. 235 00:17:09,651 --> 00:17:11,284 So what they've done is, 236 00:17:11,370 --> 00:17:13,537 they've taken the fluorescent gene, 237 00:17:13,655 --> 00:17:15,906 which is naturally present in jellyfish, 238 00:17:15,991 --> 00:17:19,159 and they've put it inside these pigs as a little marker, 239 00:17:19,244 --> 00:17:21,211 so they know which ones are transgenic or not. 240 00:17:21,330 --> 00:17:24,498 Yeung: In the past, genetic engineering technologies 241 00:17:24,583 --> 00:17:26,500 often used visual markers like this 242 00:17:26,585 --> 00:17:28,385 to prove that they even worked. 243 00:17:28,504 --> 00:17:31,972 But the science has recently taken a huge step forward. 244 00:17:33,342 --> 00:17:35,425 The breakthrough is a molecular technology 245 00:17:35,511 --> 00:17:37,344 called CRISPR CAS-9. 246 00:17:37,429 --> 00:17:39,563 It's a protein that uses molecular blades 247 00:17:39,681 --> 00:17:41,431 to make cuts in host DNA, 248 00:17:41,517 --> 00:17:44,518 replacing genes you don't want with genes you do. 249 00:17:44,653 --> 00:17:46,520 It has the power to transform 250 00:17:46,605 --> 00:17:48,438 every form of life as we know it. 251 00:17:48,524 --> 00:17:52,192 It's all about a way of editing genes, known as CRISPR. 252 00:17:52,327 --> 00:17:55,695 Female reporter: CRISPR is being described as a game changer. 253 00:17:55,831 --> 00:17:57,697 Breakthrough Prize is awarded to 254 00:17:57,783 --> 00:18:00,834 Emmanuelle Charpentier and Jennifer Doudna. 255 00:18:00,919 --> 00:18:03,670 Jennifer Doudna, a leading professor of chemistry and biology 256 00:18:03,755 --> 00:18:06,373 at UC Berkeley, codiscovered CRISPR. 257 00:18:06,508 --> 00:18:09,125 Really, what we're doing with the CRISPR technology is, 258 00:18:09,211 --> 00:18:11,461 we're using it as a scalpel, 259 00:18:11,547 --> 00:18:13,547 a very precise cleaver, 260 00:18:13,682 --> 00:18:15,632 that makes breaks in the DNA 261 00:18:15,717 --> 00:18:19,386 where we as scientists want to introduce changes. 262 00:18:20,772 --> 00:18:25,392 DNA is the computer program that runs the cell. 263 00:18:25,527 --> 00:18:28,061 What if there's a mistake somewhere in that code? 264 00:18:28,146 --> 00:18:32,616 CRISPR technology allows us to find the place 265 00:18:32,734 --> 00:18:35,235 where this mistake has occurred in the DNA 266 00:18:35,320 --> 00:18:38,455 and allow the cell to correct that mistake. 267 00:18:38,574 --> 00:18:40,490 And within just a few months 268 00:18:40,576 --> 00:18:42,576 of our publication of our initial work, 269 00:18:42,661 --> 00:18:46,079 many scientists were testing it in plants, animals, 270 00:18:46,215 --> 00:18:49,666 and in all cases it was working extremely well. 271 00:18:49,751 --> 00:18:52,419 We really have to actually for the first time 272 00:18:52,554 --> 00:18:54,588 confront this possibility 273 00:18:54,723 --> 00:18:58,842 of being able to alter human beings in the future 274 00:18:58,927 --> 00:19:01,761 and the wisdom of doing that. 275 00:19:01,897 --> 00:19:03,897 Yeung: One reason for that caution 276 00:19:03,982 --> 00:19:06,766 is that CRISPR edits are so easy to apply across all species. 277 00:19:06,852 --> 00:19:10,020 At New York University, researcher Michael Perry 278 00:19:10,105 --> 00:19:12,689 is looking at the genes that affect butterflies' vision. 279 00:19:12,774 --> 00:19:15,525 In this case, we're gonna try to edit a gene 280 00:19:15,611 --> 00:19:18,695 that we think might be involved in making the butterfly eye 281 00:19:18,780 --> 00:19:22,332 able to see more colors than other types of insects. 282 00:19:22,451 --> 00:19:25,752 Okay, so now the needle is in the egg. 283 00:19:25,837 --> 00:19:28,121 So now you can see some yolk being displaced. 284 00:19:28,257 --> 00:19:29,923 Yeung: Yeah. Okay, and that's it. 285 00:19:30,008 --> 00:19:31,675 It's as simple as that? It's as simple as that. 286 00:19:31,793 --> 00:19:33,293 That's one edited gene? 287 00:19:33,378 --> 00:19:35,462 That is one edited genome. 288 00:19:35,597 --> 00:19:37,714 So how different would this process look 289 00:19:37,799 --> 00:19:39,799 if you were injecting human embryos? 290 00:19:39,935 --> 00:19:42,269 (chuckles) Not my specialty. 291 00:19:42,354 --> 00:19:45,021 Yeung: In theory, applying CRISPR to humans 292 00:19:45,140 --> 00:19:48,141 could eliminate diseases and steer our evolution. 293 00:19:48,277 --> 00:19:50,527 The problem is that so far, 294 00:19:50,646 --> 00:19:52,812 we can't always predict what will happen. 295 00:19:52,948 --> 00:19:55,031 The antennae is drooping. 296 00:19:55,150 --> 00:19:57,617 Its legs haven't formulated properly. 297 00:19:57,703 --> 00:19:59,953 And the color is gone on the wings. 298 00:20:00,038 --> 00:20:01,204 Michael Perry: Right. 299 00:20:01,323 --> 00:20:03,490 We knew from research in fruit flies 300 00:20:03,575 --> 00:20:06,576 that this gene played a role in developing antennae 301 00:20:06,662 --> 00:20:08,828 and in producing bristles on the legs, 302 00:20:08,914 --> 00:20:10,997 but we didn't expect a role in wing pattern. 303 00:20:11,083 --> 00:20:13,403 And so, even in this gene that was reasonably well studied, 304 00:20:13,418 --> 00:20:15,635 we could predict what some of the effects would be. 305 00:20:15,721 --> 00:20:18,004 We did not expect a role in color pattern. 306 00:20:18,090 --> 00:20:20,006 Do you think that this kind of technology 307 00:20:20,142 --> 00:20:23,510 will fundamentally impact our future? 308 00:20:23,645 --> 00:20:25,178 Everyone is excited about CRISPR. 309 00:20:25,314 --> 00:20:27,897 I think it really is gonna change biology in general. 310 00:20:28,016 --> 00:20:30,066 Yeung: While CRISPR is not yet considered safe 311 00:20:30,185 --> 00:20:31,935 to use on human embryos, 312 00:20:32,020 --> 00:20:35,155 genetic selection is already happening in the US. 313 00:20:35,240 --> 00:20:39,159 Dr. Jeffrey Steinberg is using a process known as PGD 314 00:20:39,244 --> 00:20:41,111 to genetically analyze embryos 315 00:20:41,196 --> 00:20:43,196 and allow parents to screen for diseases 316 00:20:43,281 --> 00:20:46,082 and even choose favorable traits in their children. 317 00:20:46,201 --> 00:20:48,084 PGD starts for Pre-implantation-- 318 00:20:48,203 --> 00:20:51,087 before it goes back to Mom-- Genetic Diagnosis. 319 00:20:51,206 --> 00:20:53,373 And that way we're able to make these decisions 320 00:20:53,508 --> 00:20:56,042 that the parents want to make before they get the embryo. 321 00:20:56,128 --> 00:20:58,428 Mm-hmm, and so the purpose of that is to identify 322 00:20:58,547 --> 00:21:00,847 certain diseases that might exist in certain embryos... 323 00:21:00,932 --> 00:21:02,799 Exactly. ...and also the sex. 324 00:21:02,884 --> 00:21:04,434 Right, we can identify gender 325 00:21:04,553 --> 00:21:06,603 with almost 100% certainty. 326 00:21:06,722 --> 00:21:09,139 So what are we looking at here? This is a PGD report. 327 00:21:09,224 --> 00:21:10,974 So this is a PGD report from the laboratory. 328 00:21:11,059 --> 00:21:13,026 So these embryos were biopsied yesterday. 329 00:21:13,111 --> 00:21:15,311 So here we have an embryo-- 330 00:21:15,397 --> 00:21:17,280 46 chromosomes, which is normal. 331 00:21:17,399 --> 00:21:18,948 XX means girl. 332 00:21:19,067 --> 00:21:21,901 The next one-- 46 chromosomes, also normal. 333 00:21:22,037 --> 00:21:24,070 But it's XY instead of XX. 334 00:21:24,206 --> 00:21:26,539 So this is a normal male. 335 00:21:26,625 --> 00:21:28,491 The couple wants a baby with blue eyes. 336 00:21:28,577 --> 00:21:30,910 They've got three girls. They said, "Can we get a boy, 337 00:21:31,046 --> 00:21:32,545 and can the boy have blue eyes?" 338 00:21:32,631 --> 00:21:34,497 And what we got back was a report showing 339 00:21:34,583 --> 00:21:37,133 that embryo number five and embryo number seven 340 00:21:37,252 --> 00:21:39,052 carry the genes for blue eyes. 341 00:21:39,137 --> 00:21:41,337 It's just a case of selecting which ones you want to put in there. 342 00:21:41,423 --> 00:21:43,390 Exactly. Exactly. So we asked Mom and Dad, 343 00:21:43,475 --> 00:21:46,593 "Here's what we've got. What do you want?" 344 00:21:46,678 --> 00:21:49,262 Yeung: We met with Deborah and Jonathan, 345 00:21:49,347 --> 00:21:51,731 one of thousands of couples across the country 346 00:21:51,817 --> 00:21:55,235 who have chosen to use PGD. 347 00:21:55,320 --> 00:21:57,270 It sounds like a no-brainer, you know, 348 00:21:57,406 --> 00:21:59,656 if you want to be able to test for more diseases 349 00:21:59,775 --> 00:22:02,525 and have the healthiest child that you can. 350 00:22:02,611 --> 00:22:05,195 And you also chose to have sex selection, right? 351 00:22:05,280 --> 00:22:06,696 Yep, right. 352 00:22:06,782 --> 00:22:08,448 Yeah, we're picking a girl. 353 00:22:08,583 --> 00:22:10,333 We both want to have a baby girl. 354 00:22:10,452 --> 00:22:13,169 Were there any other traits that you were selecting for 355 00:22:13,288 --> 00:22:14,889 or that you had the option to select for? 356 00:22:14,956 --> 00:22:17,457 I think we'll be offered eye color. 357 00:22:17,592 --> 00:22:19,459 Well, when we met with Dr. Steinberg, they're-- 358 00:22:19,544 --> 00:22:21,544 the advances they're making are pretty incredible. 359 00:22:21,630 --> 00:22:23,596 We had no idea about eye color, 360 00:22:23,682 --> 00:22:26,633 but that is something that he offers. We're not doing eye color. 361 00:22:26,768 --> 00:22:30,854 You're going in for your actual retrieval process tomorrow, is that right? 362 00:22:30,972 --> 00:22:34,190 How are you feeling? Very nervous. 363 00:22:34,309 --> 00:22:36,276 So here we go, a little pinch. 364 00:22:36,361 --> 00:22:38,144 Just hold real still. 365 00:22:38,280 --> 00:22:40,063 Yeung: In Dr. Steinberg's clinic, 366 00:22:40,148 --> 00:22:42,148 Deborah's eggs were removed to be fertilized 367 00:22:42,284 --> 00:22:43,900 and then genetically analyzed. 368 00:22:43,985 --> 00:22:46,653 Steinberg: So we finished the first two. We're gonna pass that off. 369 00:22:46,738 --> 00:22:48,204 So they've got the fluid now. 370 00:22:48,323 --> 00:22:50,406 They're gonna be taking a look under the microscope 371 00:22:50,492 --> 00:22:52,659 and we'll find that first egg for you. 372 00:22:55,797 --> 00:22:58,548 And here you can see what these technicians are doing. 373 00:22:58,667 --> 00:23:00,667 This is an egg? 374 00:23:00,802 --> 00:23:02,135 Two eggs? 375 00:23:02,220 --> 00:23:04,471 A little pinch again. 376 00:23:04,556 --> 00:23:07,090 Yeung: Here comes another one. 377 00:23:10,228 --> 00:23:12,345 Yeung: Just egg-hunting. 378 00:23:12,430 --> 00:23:14,514 16 eggs. 379 00:23:14,649 --> 00:23:16,349 You did great. 380 00:23:16,485 --> 00:23:19,102 We're taking one sperm, and we're injecting it 381 00:23:19,187 --> 00:23:21,688 into the yolk of the human egg. 382 00:23:21,823 --> 00:23:23,907 There's the needle. You can see one little sperm 383 00:23:24,025 --> 00:23:25,859 swimming up inside of the needle. 384 00:23:25,994 --> 00:23:28,695 And now he's very gently going to push the tip of the needle 385 00:23:28,780 --> 00:23:33,032 into the yolk of the egg. 386 00:23:33,168 --> 00:23:35,034 Yeung: So that's it? 387 00:23:35,120 --> 00:23:37,036 It's fertilized. It's a fertilized egg. 388 00:23:37,122 --> 00:23:38,872 Wow. 389 00:23:38,957 --> 00:23:41,925 So where's this PGD technology heading? What's next, after eye color? 390 00:23:42,043 --> 00:23:43,793 The next place that it's headed 391 00:23:43,879 --> 00:23:46,596 is towards being able to diagnose more and more diseases. 392 00:23:46,715 --> 00:23:48,548 And the final place that it's headed 393 00:23:48,683 --> 00:23:51,134 is into allowing us to select more and more 394 00:23:51,219 --> 00:23:53,520 elective traits, characteristics. 395 00:23:53,605 --> 00:23:54,687 Such as? 396 00:23:54,773 --> 00:23:56,856 Height, weight. 397 00:23:56,942 --> 00:23:58,808 How soon before we can select for height? 398 00:23:58,894 --> 00:24:01,728 I mean, I can give you a five-year estimate. 399 00:24:01,813 --> 00:24:03,733 Five years before we can select for height? Yeah. 400 00:24:03,865 --> 00:24:06,950 Yeung: The global push to develop these technologies 401 00:24:07,068 --> 00:24:08,952 is only intensifying. 402 00:24:09,070 --> 00:24:10,954 So we spoke to Jamie Metzl, 403 00:24:11,072 --> 00:24:13,456 an expert in both genomics and foreign policy. 404 00:24:14,576 --> 00:24:16,910 Ultimately, humans are a data set. 405 00:24:17,045 --> 00:24:19,128 And as our computing power increases, 406 00:24:19,247 --> 00:24:22,665 we're able to look at these extremely complex genetics 407 00:24:22,751 --> 00:24:24,968 and then pull all the pieces together 408 00:24:25,086 --> 00:24:26,970 and do genome-wide association studies 409 00:24:27,088 --> 00:24:29,556 to try to figure out what genes do what. 410 00:24:29,641 --> 00:24:31,474 So does that mean that the countries 411 00:24:31,593 --> 00:24:34,177 or the societies with the most data on genetics 412 00:24:34,262 --> 00:24:37,263 are leading the way in terms of national competitiveness? 413 00:24:37,349 --> 00:24:40,433 We are at the very early stage of this revolution. 414 00:24:40,569 --> 00:24:42,569 And, like in any revolution 415 00:24:42,654 --> 00:24:45,104 and any transformation, first movers 416 00:24:45,190 --> 00:24:47,857 always have a strategic advantage. 417 00:24:47,943 --> 00:24:51,527 China has identified biotechnology 418 00:24:51,613 --> 00:24:53,446 as a strategic pillar 419 00:24:53,582 --> 00:24:55,448 in their most recent five-year plan. 420 00:24:55,584 --> 00:24:57,700 Yeung: That 2011 plan devoted 421 00:24:57,786 --> 00:25:01,120 more than $308 billion to biotechnology. 422 00:25:01,256 --> 00:25:03,172 It's paving the way for a large-scale, 423 00:25:03,291 --> 00:25:05,592 assembly-line approach to decoding 424 00:25:05,677 --> 00:25:07,961 the specific functions of genes. 425 00:25:08,096 --> 00:25:10,930 In Nanjing, CRISPR technology is now being used 426 00:25:11,016 --> 00:25:14,801 to edit the genes of mice, in an effort to isolate desired traits. 427 00:25:14,886 --> 00:25:17,687 We're at the National Resource Center for Mutant Mice. 428 00:25:17,806 --> 00:25:20,023 This is where they edit hundreds of thousands 429 00:25:20,141 --> 00:25:22,058 of different types of mice. 430 00:25:22,143 --> 00:25:24,560 What we're looking at down these microscopes 431 00:25:24,646 --> 00:25:26,729 are tiny, tiny little mouse embryos. 432 00:25:26,815 --> 00:25:28,948 And what they're doing is, they're injecting them. 433 00:25:29,034 --> 00:25:31,401 So they're editing the mouse embryos right here. 434 00:25:31,486 --> 00:25:33,820 (man speaking Chinese) 435 00:25:38,660 --> 00:25:40,960 Wow, that's a lot of embryos. 436 00:25:41,046 --> 00:25:43,713 (Cunxiang Ju speaking) 437 00:25:50,889 --> 00:25:51,888 Wow. 438 00:25:52,007 --> 00:25:54,057 What are they doing here? 439 00:25:54,175 --> 00:25:56,559 (man speaking Chinese) 440 00:26:08,239 --> 00:26:10,356 These guys here are being edited, 441 00:26:10,442 --> 00:26:12,358 so the result is that they're completely bald. 442 00:26:12,494 --> 00:26:14,694 These ones here-- they're missing 443 00:26:14,779 --> 00:26:16,529 the metabolism gene, 444 00:26:16,614 --> 00:26:18,531 which means that they're very, very fat. 445 00:26:18,616 --> 00:26:20,667 In this room, they could hold the key 446 00:26:20,752 --> 00:26:22,535 to curing aging, 447 00:26:22,620 --> 00:26:24,620 to curing diabetes, to curing cancer. 448 00:26:24,706 --> 00:26:26,706 There's just so much possibility 449 00:26:26,791 --> 00:26:28,875 held in this room of rodents. 450 00:26:29,010 --> 00:26:32,428 The mouse genome is 85% similar to the human genome, 451 00:26:32,547 --> 00:26:34,347 so unlocking their gene functions 452 00:26:34,432 --> 00:26:37,383 could be critical to understanding our own traits. 453 00:26:37,519 --> 00:26:39,268 And that could be huge here, 454 00:26:39,387 --> 00:26:43,389 where pre-birth services are already in massive demand. 455 00:26:43,525 --> 00:26:45,391 We watched as couples lined up down the block 456 00:26:45,477 --> 00:26:48,695 for different types of fertility procedures. 457 00:26:48,780 --> 00:26:50,613 Some of these people have been queuing 458 00:26:50,732 --> 00:26:53,149 outside this Beijing public hospital since 2:00 a.m. 459 00:26:56,071 --> 00:26:57,954 It's like a stampede in here. 460 00:26:58,073 --> 00:27:00,373 Everyone's just racing to get an appointment 461 00:27:00,458 --> 00:27:02,241 so they can hopefully see an IVF doctor. 462 00:27:02,377 --> 00:27:04,243 And as thousands and thousands of couples 463 00:27:04,379 --> 00:27:06,295 choose the latest available treatments, 464 00:27:06,414 --> 00:27:09,132 the future is quickly approaching. 465 00:27:09,250 --> 00:27:11,551 Companies are now developing sequences 466 00:27:11,636 --> 00:27:14,170 that decode genes at record speeds. 467 00:27:14,255 --> 00:27:16,923 And all that data will eventually be funneled here, 468 00:27:17,058 --> 00:27:20,059 into one of the largest gene banks in the world. 469 00:27:20,145 --> 00:27:22,011 In here, they're gonna be storing 470 00:27:22,097 --> 00:27:24,063 1.15 million people's human genomes. 471 00:27:24,149 --> 00:27:25,932 This is pretty representative 472 00:27:26,067 --> 00:27:28,601 of China's massive commitment and big, big push 473 00:27:28,737 --> 00:27:30,937 for the genetics industry. 474 00:27:31,072 --> 00:27:32,855 But as the industry grows, 475 00:27:32,941 --> 00:27:35,575 so does our concern about where it's headed. 476 00:27:35,660 --> 00:27:38,077 Outrage over the latest move toward designer babies. 477 00:27:38,163 --> 00:27:39,996 For the first time, Chinese scientists 478 00:27:40,115 --> 00:27:43,833 use new technology to alter DNA in human embryos. 479 00:27:43,952 --> 00:27:47,003 Serious implications of designer babies. 480 00:27:47,122 --> 00:27:49,872 It will take us down a slippery slope. 481 00:27:51,376 --> 00:27:53,793 Yeung: This technology continues to advance. 482 00:27:53,878 --> 00:27:56,045 And with parents potentially being offered 483 00:27:56,131 --> 00:27:58,264 more and more traits for purchase, 484 00:27:58,349 --> 00:28:00,266 we may be altering the future 485 00:28:00,351 --> 00:28:02,351 of the human race itself. 486 00:28:02,470 --> 00:28:03,936 So how much are we moving 487 00:28:04,022 --> 00:28:06,472 towards a future of genetic haves and have-nots? 488 00:28:06,558 --> 00:28:09,358 Certainly, there is the danger 489 00:28:09,477 --> 00:28:13,312 of the more advantaged people in society today 490 00:28:13,448 --> 00:28:15,865 becoming even more advantaged. 491 00:28:15,984 --> 00:28:17,867 And that's very dangerous. 492 00:28:17,986 --> 00:28:19,986 The worst-case scenario is 493 00:28:20,071 --> 00:28:22,405 that we get into some type of genetic arms race, 494 00:28:22,490 --> 00:28:26,125 where people are manufacturing their-- their children. 495 00:28:26,211 --> 00:28:29,495 After four billion years of evolution, 496 00:28:29,631 --> 00:28:31,330 we are now beginning a process 497 00:28:31,416 --> 00:28:34,884 where we will take active control of our evolution. 498 00:28:35,003 --> 00:28:37,837 And the consequences of that are incredible. 499 00:28:37,922 --> 00:28:39,722 If you had a time machine, 500 00:28:39,841 --> 00:28:42,008 and you traveled a thousand years into the future 501 00:28:42,143 --> 00:28:43,882 and brought a child back to today, 502 00:28:44,002 --> 00:28:45,881 that kid would be Superman. 503 00:28:46,001 --> 00:28:56,434 Sync & corrections by honeybunny www.addic7ed.com 39075

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