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These are the user uploaded subtitles that are being translated: 1 00:00:16,464 --> 00:00:22,608 60 miles west of Bangkok is the Khao Chong Phran cave, 2 00:00:22,643 --> 00:00:25,094 famous throughout all of Asia. 3 00:00:28,235 --> 00:00:32,101 For centuries, a sanctuary for the faithful... 4 00:00:32,135 --> 00:00:36,415 and now, the curious. 5 00:00:39,177 --> 00:00:41,144 Scientists... who come to learn 6 00:00:41,179 --> 00:00:44,423 from the most unusual of creatures... 7 00:00:51,706 --> 00:00:56,263 As the sun sets, three million bats begin to stir, 8 00:00:56,297 --> 00:01:00,232 preparing for one of nature's greatest spectacles. 9 00:01:00,267 --> 00:01:03,477 Rocketing to the skies in a blizzard of flapping wings, 10 00:01:03,511 --> 00:01:07,619 they will pass the night gorging on insects. 11 00:01:10,587 --> 00:01:15,799 This epic nocturnal excursion is a feast for the eyes. 12 00:01:15,834 --> 00:01:21,633 But for science, bats are much more: a biological treasure. 13 00:01:24,153 --> 00:01:26,707 They are by far 14 00:01:26,741 --> 00:01:28,881 the most fascinating of all animals. 15 00:01:30,538 --> 00:01:33,576 They are remarkable and extraordinary creatures. 16 00:01:35,440 --> 00:01:38,201 As a biologist, it's my job to really tell people that 17 00:01:38,236 --> 00:01:39,961 we, we need the bats. 18 00:01:39,996 --> 00:01:42,516 There are more than 1,400 19 00:01:42,550 --> 00:01:45,277 different species of bats, playing crucial roles 20 00:01:45,312 --> 00:01:49,143 in ecosystems all over the world. 21 00:01:49,178 --> 00:01:53,803 But for many people, bats are the stuff of nightmares. 22 00:01:53,837 --> 00:01:56,633 Bats have been demonized in the society. 23 00:01:59,153 --> 00:02:02,191 I thought bats were scary and creepy 24 00:02:02,225 --> 00:02:03,640 and a little bit kind of unpleasant. 25 00:02:06,988 --> 00:02:09,888 Already vilified in pop culture, 26 00:02:09,922 --> 00:02:11,959 recent news reports 27 00:02:11,993 --> 00:02:16,998 have been giving bats an especially dangerous rep. 28 00:02:17,033 --> 00:02:21,071 The ancestor of the virus in humans had to be a bat virus. 29 00:02:21,106 --> 00:02:23,073 There is a virus that is 96% similar 30 00:02:23,108 --> 00:02:24,765 to this new coronavirus in bats. 31 00:02:24,799 --> 00:02:27,733 Early research suggests human picked up the coronavirus 32 00:02:27,768 --> 00:02:29,701 from animals, possibly bats. 33 00:02:29,735 --> 00:02:32,635 Though we still don't know the exact source of the virus 34 00:02:32,669 --> 00:02:36,984 that started the COVID pandemic, bats are a prime suspect. 35 00:02:38,572 --> 00:02:41,368 But rather than fear these flying creatures, 36 00:02:41,402 --> 00:02:46,062 biologists are hailing them as potential saviors. 37 00:02:46,096 --> 00:02:49,203 They can really get infection without getting sick. 38 00:02:50,308 --> 00:02:51,688 Bats teach us lesson, 39 00:02:51,723 --> 00:02:53,587 not to suffer autoimmune disease, 40 00:02:53,621 --> 00:02:55,036 diabetes, arthritis. 41 00:02:55,071 --> 00:02:56,279 SEÉBASTIEN PUECHMAILLE Whether you capture a bat 42 00:02:56,314 --> 00:02:58,005 that is two years old or 15, 43 00:02:58,039 --> 00:02:59,213 or 20 years old, 44 00:02:59,248 --> 00:03:01,767 you don't see any difference. 45 00:03:01,802 --> 00:03:04,494 For the body size of these animals, 46 00:03:04,529 --> 00:03:07,221 they are way off scale in terms of their longevity. 47 00:03:07,256 --> 00:03:10,120 Bats hold the cure. 48 00:03:10,155 --> 00:03:12,019 They hold our treatment. 49 00:03:13,641 --> 00:03:16,575 Science is beginning to decipher their strange powers. 50 00:03:18,336 --> 00:03:21,235 Could these much-maligned creatures hold precious secrets 51 00:03:21,270 --> 00:03:22,995 for our own health? 52 00:03:25,446 --> 00:03:27,483 "Bat Superpowers." 53 00:03:27,517 --> 00:03:30,796 Right now, on "NOVA." 54 00:03:45,155 --> 00:03:47,468 Many experts believe that the coronavirus 55 00:03:47,503 --> 00:03:50,264 that tore through the world's population in 2020 56 00:03:50,299 --> 00:03:52,577 came from a bat. 57 00:03:55,407 --> 00:03:58,238 Virologist Supaporn Wacharapluesadee 58 00:03:58,272 --> 00:04:00,101 is world-renowned for her ability 59 00:04:00,136 --> 00:04:03,726 to track viruses in the wild. 60 00:04:05,314 --> 00:04:08,765 Today, her team has come to test the giant colony 61 00:04:08,800 --> 00:04:12,044 at Khao Chong Phran. 62 00:04:12,079 --> 00:04:14,219 There are bats in the caves, and we put this on 63 00:04:14,254 --> 00:04:16,256 to be safe while we work. 64 00:04:18,982 --> 00:04:21,088 It doesn't mean that there are deadly viruses in there, 65 00:04:21,122 --> 00:04:23,159 but we need to protect ourselves 66 00:04:23,193 --> 00:04:25,644 to do our work safely. 67 00:04:28,060 --> 00:04:30,718 Once fully suited up, the scientists descend 68 00:04:30,753 --> 00:04:33,376 deep into the cave. 69 00:04:33,411 --> 00:04:35,930 Under the gaze of the Buddha statues, the team installs 70 00:04:35,965 --> 00:04:37,277 a net in the large chamber 71 00:04:37,311 --> 00:04:38,761 that local monks share year-round 72 00:04:38,795 --> 00:04:41,315 with its native residents. 73 00:04:45,250 --> 00:04:49,910 We have been doing research work here for more than ten years. 74 00:04:49,944 --> 00:04:52,326 Now, for safety reasons, we have come back to test 75 00:04:52,361 --> 00:04:54,432 if there is coronavirus, 76 00:04:54,466 --> 00:04:57,435 which could be dangerous for the people in the area. 77 00:04:59,506 --> 00:05:01,956 A second team waits at the exit 78 00:05:01,991 --> 00:05:04,925 of the cave to catch bats flying outside. 79 00:05:07,099 --> 00:05:10,689 Tonight, about 70 bats will miss their nighttime excursion. 80 00:05:26,084 --> 00:05:30,778 Instead, they will spend a few hours in a makeshift lab 81 00:05:30,813 --> 00:05:33,954 set up at the base of the hill. 82 00:05:33,988 --> 00:05:36,543 Each bat is given a careful medical checkup. 83 00:05:36,577 --> 00:05:39,546 Trying to limit stress to the animal, 84 00:05:39,580 --> 00:05:41,996 scientists take multiple samples from the skin, 85 00:05:42,031 --> 00:05:45,345 the mouth, and even the intestines... 86 00:05:45,379 --> 00:05:49,418 all organs that are susceptible to containing viruses, 87 00:05:49,452 --> 00:05:51,627 known or unknown. 88 00:05:56,321 --> 00:06:01,222 We have discovered hundreds of viruses in bats. 89 00:06:01,257 --> 00:06:04,674 Actually, there are more than 60 viruses in bats 90 00:06:04,709 --> 00:06:08,402 that could eventually be transmitted to human beings. 91 00:06:08,437 --> 00:06:10,335 In addition to being 92 00:06:10,370 --> 00:06:13,580 a key transmitter of the deadly rabies virus, 93 00:06:13,614 --> 00:06:15,340 bats are suspected sources 94 00:06:15,375 --> 00:06:18,757 for numerous viral outbreaks around the world: 95 00:06:18,792 --> 00:06:22,899 the 1967 Marburg virus in Europe; 96 00:06:22,934 --> 00:06:26,351 two waves of Ebola in Africa; 97 00:06:26,386 --> 00:06:28,284 the Hendra virus in Australia; 98 00:06:28,318 --> 00:06:30,873 the Nipah virus in Malaysia. 99 00:06:30,907 --> 00:06:33,496 Then a series of coronavirus outbreaks: 100 00:06:33,531 --> 00:06:35,567 SARS, that started in China; 101 00:06:35,602 --> 00:06:38,156 MERS in the Arabian Peninsula; 102 00:06:38,190 --> 00:06:40,192 and now the COVID-19 pandemic 103 00:06:40,227 --> 00:06:43,679 that engulfed the planet in just a few months. 104 00:06:43,713 --> 00:06:44,956 For some scientists, 105 00:06:44,990 --> 00:06:47,165 it is a trend that will no doubt continue 106 00:06:47,199 --> 00:06:49,443 as human beings encroach 107 00:06:49,478 --> 00:06:52,757 more and more on the bat's natural habitat. 108 00:06:52,791 --> 00:06:54,759 Supaporn is hoping to discover 109 00:06:54,793 --> 00:06:57,796 why viruses circulate so well within bat colonies 110 00:06:57,831 --> 00:06:59,384 and how they might transmit them 111 00:06:59,419 --> 00:07:01,697 to other animal species 112 00:07:01,731 --> 00:07:03,595 that in turn could pass them on to humans. 113 00:07:03,630 --> 00:07:07,185 But above all, she wants to know why this animal, 114 00:07:07,219 --> 00:07:09,429 infected by so many dangerous viruses, 115 00:07:09,463 --> 00:07:14,537 seems totally impervious to their effects. 116 00:07:14,572 --> 00:07:16,850 As far as I know from the research work 117 00:07:16,884 --> 00:07:19,818 overseas and my research work here, 118 00:07:19,853 --> 00:07:22,407 bats with viruses aren't getting sick. 119 00:07:22,442 --> 00:07:25,893 The bat aren't getting sick while the viruses still 120 00:07:25,928 --> 00:07:27,861 live within them. 121 00:07:35,351 --> 00:07:40,632 Because of the whole world is so desperately trying 122 00:07:40,667 --> 00:07:43,221 to deal with, with COVID-19 and its horrible effects, 123 00:07:43,255 --> 00:07:44,809 bats have come into the limelight, 124 00:07:44,843 --> 00:07:46,500 and they've come into the limelight 125 00:07:46,535 --> 00:07:49,607 as potential reservoirs for many, many viruses. 126 00:07:49,641 --> 00:07:52,575 And the question is, why? 127 00:07:52,610 --> 00:07:54,025 Why can they... 128 00:07:54,059 --> 00:07:55,647 Are bats really special? 129 00:07:55,682 --> 00:07:57,822 Is there something unique about bats' biology, 130 00:07:57,856 --> 00:07:59,548 their physiology, the genetics, 131 00:07:59,582 --> 00:08:01,964 that allows them to tolerate these viruses? 132 00:08:01,998 --> 00:08:02,930 What's the reason? 133 00:08:04,898 --> 00:08:06,313 Will studying bats allow us 134 00:08:06,347 --> 00:08:09,385 to avoid the next deadly virus outbreak? 135 00:08:09,419 --> 00:08:12,043 Could their disease-defying biology 136 00:08:12,077 --> 00:08:15,564 help us to live longer and in better health? 137 00:08:15,598 --> 00:08:18,256 Laboratories around the world are mobilizing 138 00:08:18,290 --> 00:08:20,603 to find the answers. 139 00:08:20,638 --> 00:08:23,848 Because just how this stealthy, nocturnal animal functions 140 00:08:23,882 --> 00:08:26,747 remains largely a mystery. 141 00:08:37,309 --> 00:08:41,003 New Yorkers may not realize that one of the most unique 142 00:08:41,037 --> 00:08:44,316 biological banks in the world is just next door: 143 00:08:44,351 --> 00:08:48,458 a huge collection of bat organs and tissues, stored at 144 00:08:48,493 --> 00:08:51,703 Stony Brook University. 145 00:08:51,738 --> 00:08:55,293 A veritable treasure trove for scientists like Liliana Dávalos. 146 00:09:01,264 --> 00:09:04,440 It's a piece of brain from Belize. 147 00:09:04,474 --> 00:09:06,062 This is, um, 148 00:09:06,097 --> 00:09:10,101 liver, liver sample, and it's from Colombia. 149 00:09:10,135 --> 00:09:12,966 This is from our last expedition. 150 00:09:13,000 --> 00:09:15,727 Our collection has 151 00:09:15,762 --> 00:09:17,729 everything from the 152 00:09:17,764 --> 00:09:21,181 top of the head, the brain, the nose, the eyes, 153 00:09:21,215 --> 00:09:23,217 and every organ in the body. 154 00:09:25,979 --> 00:09:27,049 Mummified bats, 155 00:09:27,083 --> 00:09:30,052 cabinets stuffed with body parts... 156 00:09:30,086 --> 00:09:31,605 the Dávalos Lab might feel like something 157 00:09:31,640 --> 00:09:34,297 out of a Frankenstein film. 158 00:09:39,648 --> 00:09:41,891 Not to worry... it's not what you think. 159 00:09:41,926 --> 00:09:44,653 And Liliana, rather than being frightened 160 00:09:44,687 --> 00:09:48,967 or repelled by bats, is in fact one of their biggest fans. 161 00:09:52,212 --> 00:09:54,766 What have we got here? 162 00:09:56,630 --> 00:09:59,288 Oh, this is so amazing. 163 00:09:59,322 --> 00:10:03,223 This is a horseshoe bat. 164 00:10:03,257 --> 00:10:06,019 This collection happened in 1934, 165 00:10:06,053 --> 00:10:09,229 December 27. 166 00:10:09,263 --> 00:10:10,817 Somebody was out there, 167 00:10:10,851 --> 00:10:14,717 in Chengdu, in China, catching bats. 168 00:10:14,752 --> 00:10:18,652 This is the horseshoe down here, you see it? 169 00:10:18,687 --> 00:10:22,345 The horseshoe bat is widespread throughout Asia 170 00:10:22,380 --> 00:10:26,280 and suspected to be at the origin of SARS-CoV-2, 171 00:10:26,315 --> 00:10:29,767 the virus that causes COVID-19. 172 00:10:31,734 --> 00:10:33,736 With this specimen, 173 00:10:33,771 --> 00:10:37,498 Liliana will be able to study just how bats become infected. 174 00:10:37,533 --> 00:10:39,811 Since COVID is a respiratory disease, 175 00:10:39,846 --> 00:10:41,502 the team concentrates their efforts 176 00:10:41,537 --> 00:10:43,815 on the animal's respiratory tract, 177 00:10:43,850 --> 00:10:46,266 especially its nose and nasal cavities. 178 00:10:48,371 --> 00:10:52,444 Could it be that the inside of this strange-looking nose 179 00:10:52,479 --> 00:10:55,793 contains the key to how bat viruses also infect humans? 180 00:10:59,244 --> 00:11:00,590 Thanks to Laurel Yohe, 181 00:11:00,625 --> 00:11:03,041 a researcher at nearby Yale University, 182 00:11:03,076 --> 00:11:04,940 the team has access to a 3D scanner. 183 00:11:04,974 --> 00:11:08,391 It's the first time ever this technique will be used 184 00:11:08,426 --> 00:11:10,635 to study the inside of a bat. 185 00:11:13,051 --> 00:11:15,053 Here are the teeth. 186 00:11:15,088 --> 00:11:17,435 You can see the neurons in the teeth. 187 00:11:17,469 --> 00:11:21,197 As we move through, here is the tongue. 188 00:11:21,232 --> 00:11:23,717 Here is the nasal cavity. 189 00:11:23,752 --> 00:11:27,859 The horseshoe bat's nose is of particular interest 190 00:11:27,894 --> 00:11:30,310 to Liliana and her spouse and research partner, 191 00:11:30,344 --> 00:11:32,312 Angelique Corthals. 192 00:11:32,346 --> 00:11:33,416 An expert in human biology, 193 00:11:33,451 --> 00:11:36,247 Angelique studied the respiratory tracts 194 00:11:36,281 --> 00:11:41,010 of COVID victims at the height of the pandemic. 195 00:11:41,045 --> 00:11:42,978 The bat is very similar to humans, 196 00:11:43,012 --> 00:11:47,776 because you can see actually the same structure of the nose. 197 00:11:47,810 --> 00:11:50,295 Bats that are known to harbor 198 00:11:50,330 --> 00:11:53,471 the closest relative to SARS-CoV-2 199 00:11:53,505 --> 00:11:55,715 have a nasal cavity 200 00:11:55,749 --> 00:11:57,095 that is to, 201 00:11:57,130 --> 00:12:01,237 that is actually closely resembling that of human, 202 00:12:01,272 --> 00:12:03,723 which is very likely 203 00:12:03,757 --> 00:12:07,761 part of the reason why we can be infected 204 00:12:07,796 --> 00:12:12,662 so quickly with SARS-CoV-2, because all of a sudden, 205 00:12:12,697 --> 00:12:16,874 it's not completely strange territory for coronavirus 206 00:12:16,908 --> 00:12:20,740 to enter the nasal cavity of a human. 207 00:12:20,774 --> 00:12:24,053 But once it has arrived in the nose of a bat or a human, 208 00:12:24,088 --> 00:12:28,368 how does the virus infect the rest of the body? 209 00:12:28,402 --> 00:12:30,542 Liliana and Angelique focus their research 210 00:12:30,577 --> 00:12:34,098 on the cells that line the nasal cavity. 211 00:12:37,584 --> 00:12:42,037 You see those hollow points in this layer? 212 00:12:42,071 --> 00:12:44,177 Those are not holes, they are cells... 213 00:12:44,211 --> 00:12:46,731 they are called the goblet cells, 214 00:12:46,766 --> 00:12:48,560 which are mucus-producing cells. 215 00:12:48,595 --> 00:12:50,804 They are the first barrier 216 00:12:50,839 --> 00:12:53,462 against pathogens, against allergens, 217 00:12:53,496 --> 00:12:55,291 against any kind of foreign bodies 218 00:12:55,326 --> 00:12:57,121 that enters through the nose. 219 00:12:57,155 --> 00:13:00,780 Mucus produced by goblet cells 220 00:13:00,814 --> 00:13:04,369 usually traps viruses before they can enter the body. 221 00:13:04,404 --> 00:13:08,649 But when it comes to COVID-19, goblet cells have a weakness: 222 00:13:08,684 --> 00:13:12,757 they are covered by a receptor that the coronavirus recognizes. 223 00:13:12,792 --> 00:13:16,657 Like a key entering a lock, the virus attaches to the receptor, 224 00:13:16,692 --> 00:13:18,832 opens a passage, 225 00:13:18,867 --> 00:13:20,489 and injects its genetic material. 226 00:13:20,523 --> 00:13:22,284 The cell then starts manufacturing the virus 227 00:13:22,318 --> 00:13:25,528 by the hundreds, starting a chain reaction that can spread 228 00:13:25,563 --> 00:13:29,429 throughout the whole organism. 229 00:13:31,465 --> 00:13:33,640 The coronavirus can enter both bats 230 00:13:33,674 --> 00:13:36,229 and humans in the same way, 231 00:13:36,263 --> 00:13:37,851 through these goblet cells. 232 00:13:37,886 --> 00:13:40,612 So how come humans can become so sick, 233 00:13:40,647 --> 00:13:42,545 while bats don't? 234 00:13:45,548 --> 00:13:47,688 Our scientific understanding so far 235 00:13:47,723 --> 00:13:50,070 is that the viral loads are fairly low, 236 00:13:50,105 --> 00:13:53,418 meaning that these infections are circulating, 237 00:13:53,453 --> 00:13:55,696 but they do not have the same consequences 238 00:13:55,731 --> 00:13:57,526 in the bats that they have in people. 239 00:13:57,560 --> 00:13:59,493 We don't understand yet fully why. 240 00:14:01,116 --> 00:14:04,705 Somehow, the virus is able to enter bats' noses 241 00:14:04,740 --> 00:14:10,159 the same way it does in humans, but the similarities end there. 242 00:14:10,194 --> 00:14:15,889 In bats, the virus is present, but at a consistently low level. 243 00:14:15,924 --> 00:14:20,652 The question is: how are bats keeping the virus 244 00:14:20,687 --> 00:14:24,691 under control once it has entered? 245 00:14:29,938 --> 00:14:31,974 That's what scientists in Singapore 246 00:14:32,009 --> 00:14:35,736 are trying to find out at the Duke-N.U.S. Medical School, 247 00:14:35,771 --> 00:14:40,120 where the bats' immune system has come under the microscope. 248 00:14:45,263 --> 00:14:49,992 Professor Linfa Wang, known to colleagues as "Batman," 249 00:14:50,027 --> 00:14:55,170 thinks he has found the secret to bats' super-immunity. 250 00:14:55,204 --> 00:14:56,861 My students, when they first 251 00:14:56,896 --> 00:14:58,242 work in my lab, they got it wrong. 252 00:14:58,276 --> 00:15:00,106 They say bats has a more efficient 253 00:15:00,140 --> 00:15:01,901 immune system to clear the virus. 254 00:15:01,935 --> 00:15:05,628 I say. "No, bats have a more efficient immune system 255 00:15:05,663 --> 00:15:06,733 not to develop disease." 256 00:15:06,767 --> 00:15:08,977 They are more efficient, really, 257 00:15:09,011 --> 00:15:10,806 to control the virus. 258 00:15:10,840 --> 00:15:12,532 Otherwise, they will not be good reservoir, right? 259 00:15:14,396 --> 00:15:16,363 Matae Ahn wrote his thesis under 260 00:15:16,398 --> 00:15:18,089 Linfa Wang's direction. 261 00:15:18,124 --> 00:15:20,160 When he joined the team in 2014, 262 00:15:20,195 --> 00:15:25,510 the lab did not yet have a living bat colony to work with. 263 00:15:25,545 --> 00:15:27,305 In the past, we had to 264 00:15:27,340 --> 00:15:30,136 fly over to Australia to get all sample 265 00:15:30,170 --> 00:15:31,931 for our studies, and now, 266 00:15:31,965 --> 00:15:34,140 we have a local bat colony, right here. 267 00:15:34,174 --> 00:15:37,626 And this allows us to get the fresh sample easily 268 00:15:37,660 --> 00:15:39,800 and study bats really closely. 269 00:15:42,631 --> 00:15:45,599 The cave nectar bat has a fox-like head 270 00:15:45,634 --> 00:15:48,775 and lives principally in Southeast Asia. 271 00:15:48,809 --> 00:15:53,055 In the wild, these bats are carriers of many viruses, 272 00:15:53,090 --> 00:15:54,263 but don't get sick. 273 00:15:54,298 --> 00:15:57,059 But in the lab, conditions are strictly controlled 274 00:15:57,094 --> 00:16:00,545 and the animals remain uncontaminated. 275 00:16:00,580 --> 00:16:03,031 We are using the fresh bat samples 276 00:16:03,065 --> 00:16:05,965 to analyze their contents in details, 277 00:16:05,999 --> 00:16:08,346 starting from genes, mRNA, 278 00:16:08,381 --> 00:16:11,246 protein, cells, to even tissues. 279 00:16:11,280 --> 00:16:12,833 And all of these component can be 280 00:16:12,868 --> 00:16:14,525 used and utilized to study bats 281 00:16:14,559 --> 00:16:17,528 and their immune system. 282 00:16:21,739 --> 00:16:24,776 Matae's experiment concentrates on 283 00:16:24,811 --> 00:16:27,503 proteins involved in the immune response, 284 00:16:27,538 --> 00:16:32,267 and on one molecule in particular: interferon alpha. 285 00:16:33,889 --> 00:16:35,891 To be simple, interferon alpha 286 00:16:35,925 --> 00:16:40,275 is a key molecule that alerts the body to the intruder. 287 00:16:40,309 --> 00:16:43,623 It tells the surrounding cells that an infection is occurring. 288 00:16:45,418 --> 00:16:48,041 When a cell detects a virus, 289 00:16:48,076 --> 00:16:50,733 it unleashes a barrage of interferon molecules 290 00:16:50,768 --> 00:16:52,839 which spread through the body, 291 00:16:52,873 --> 00:16:55,186 spurring immune cells into action. 292 00:16:55,221 --> 00:16:57,326 Which, in turn, wipe out the intruding pathogens 293 00:16:57,361 --> 00:17:00,191 and get rid of the cells already infected. 294 00:17:02,573 --> 00:17:04,713 So we want to examine and compare 295 00:17:04,747 --> 00:17:06,611 the level of interferon production 296 00:17:06,646 --> 00:17:08,820 between human and bat cells 297 00:17:08,855 --> 00:17:11,858 before any infection actually occurs. 298 00:17:17,208 --> 00:17:19,452 So look, look at this curve. 299 00:17:19,486 --> 00:17:22,834 This curve is a human sample, it's flat. 300 00:17:22,869 --> 00:17:24,560 It means that interferon alpha 301 00:17:24,595 --> 00:17:26,148 is almost undetectable. 302 00:17:26,183 --> 00:17:28,461 In contrast, in our bat sample, 303 00:17:28,495 --> 00:17:30,773 we have a lot of interferon alpha detected, 304 00:17:30,808 --> 00:17:34,398 even though there is no infection occurring right there. 305 00:17:36,020 --> 00:17:38,643 In other words, bats have adopted 306 00:17:38,678 --> 00:17:41,439 a proactive strategy of defense. 307 00:17:43,924 --> 00:17:46,375 Thanks to interferon being permanently present, 308 00:17:46,410 --> 00:17:48,653 when a virus penetrates the bat's body, 309 00:17:48,688 --> 00:17:51,415 their immune system is already active. 310 00:17:51,449 --> 00:17:54,487 But in humans, that reaction is much slower. 311 00:17:54,521 --> 00:17:57,041 While our body's immune system is ramping up 312 00:17:57,076 --> 00:18:00,251 to produce interferon, the virus can be spreading. 313 00:18:00,286 --> 00:18:03,875 The risk of getting sick is therefore much greater in us 314 00:18:03,910 --> 00:18:07,914 than in bats, where the virus remains under tighter control. 315 00:18:07,948 --> 00:18:09,467 Human, for example, our defense system 316 00:18:09,502 --> 00:18:12,229 is switched off most of the time, 317 00:18:12,263 --> 00:18:16,164 until we see enemies, and then we switch on. 318 00:18:16,198 --> 00:18:21,824 Unlike us, the bats' defenses are always on high alert. 319 00:18:21,859 --> 00:18:24,689 Their immune system can prevent damaging infection 320 00:18:24,724 --> 00:18:26,933 while letting some virus hang around. 321 00:18:26,967 --> 00:18:28,486 That's good news for the bat, 322 00:18:28,521 --> 00:18:31,282 but it might be really bad news for humans. 323 00:18:31,317 --> 00:18:32,835 One theory is that 324 00:18:32,870 --> 00:18:35,597 if the virus live inside a bat body, 325 00:18:35,631 --> 00:18:38,393 you know, you already have elevated defense systems. 326 00:18:38,427 --> 00:18:41,258 So when they jump to a different host, like human, 327 00:18:41,292 --> 00:18:44,502 and that's, it's, like, you know, free playground for them 328 00:18:44,537 --> 00:18:47,195 and they just go and rampage in us. 329 00:18:47,229 --> 00:18:50,163 So very efficient. 330 00:18:50,198 --> 00:18:51,682 A virus that battles for survival 331 00:18:51,716 --> 00:18:54,305 inside a bat's super-immune system 332 00:18:54,340 --> 00:18:57,032 becomes a formidable enemy. 333 00:18:57,066 --> 00:19:00,104 When it jumps to a less defended species, like a human, 334 00:19:00,139 --> 00:19:02,279 it's much more dangerous. 335 00:19:02,313 --> 00:19:04,073 But why did bats develop 336 00:19:04,108 --> 00:19:07,076 such a highly functioning immune system? 337 00:19:07,111 --> 00:19:11,080 Why did nature bestow bats with this superpower 338 00:19:11,115 --> 00:19:14,153 while our own defense system has proven so weak 339 00:19:14,187 --> 00:19:16,672 in the face of multiple epidemics? 340 00:19:30,134 --> 00:19:35,070 It's a question that zoologist and geneticist Emma Teeling 341 00:19:35,104 --> 00:19:38,487 has spent decades researching. 342 00:19:40,869 --> 00:19:44,010 Nearby her lab at University College Dublin, 343 00:19:44,044 --> 00:19:46,392 Emma takes advantage of the last 344 00:19:46,426 --> 00:19:49,291 few days of fall to visit a local colony 345 00:19:49,326 --> 00:19:52,708 before the bats start their winter hibernation. 346 00:19:58,300 --> 00:20:00,026 Some people don't actually like them, 347 00:20:00,060 --> 00:20:02,373 and the question is why? 348 00:20:02,408 --> 00:20:05,238 As primates, we primarily 349 00:20:05,273 --> 00:20:07,067 get the information from our environment 350 00:20:07,102 --> 00:20:08,517 through our eyes. 351 00:20:08,552 --> 00:20:10,243 At night, we're a bit frightened... 352 00:20:10,278 --> 00:20:11,969 we can't really see them. 353 00:20:12,003 --> 00:20:13,073 People think, "Oh, they're gonna get 354 00:20:13,108 --> 00:20:15,248 caught in your hair"... they, they don't. 355 00:20:15,283 --> 00:20:17,008 What they do is, they're flying, 356 00:20:17,043 --> 00:20:20,943 feeding on insects that are trying to bite you. 357 00:20:27,847 --> 00:20:30,194 There you go, there's a bat. 358 00:20:30,229 --> 00:20:32,679 More than likely, it's a, it's a... 359 00:20:32,714 --> 00:20:34,888 Oh, hello, you beauty. 360 00:20:34,923 --> 00:20:38,271 More than likely, this is a soprano pipistrelle. 361 00:20:38,306 --> 00:20:39,928 Because you can hear, its peak frequency 362 00:20:39,962 --> 00:20:41,205 is about 45 kilohertz. 363 00:20:41,240 --> 00:20:43,345 Do you see that little bat fly across? 364 00:20:43,380 --> 00:20:46,175 This bat detector is picking up the sound 365 00:20:46,210 --> 00:20:48,592 that's been emitted from the bat's mouth. 366 00:20:48,626 --> 00:20:51,250 And what's happening is, the bat emits its call 367 00:20:51,284 --> 00:20:52,872 and it listens to the echoes, 368 00:20:52,906 --> 00:20:56,427 and it uses this to be able to orient in complete darkness. 369 00:20:56,462 --> 00:20:58,153 I have a head torch on right now. 370 00:20:58,187 --> 00:21:01,570 Right now, this is dusk... you can't see anything, 371 00:21:01,605 --> 00:21:03,676 but the bats have woken up and they are flying around, 372 00:21:03,710 --> 00:21:04,815 feeding on the insects, 373 00:21:04,849 --> 00:21:07,266 and are more than likely flying up and down 374 00:21:07,300 --> 00:21:09,509 this small stream here. 375 00:21:10,648 --> 00:21:11,753 Hear? 376 00:21:11,787 --> 00:21:14,411 Bang-bang-bang-bang-bang? 377 00:21:19,519 --> 00:21:21,728 Aided by their unique capabilities, 378 00:21:21,763 --> 00:21:25,870 bats thrive on every continent except Antarctica. 379 00:21:25,905 --> 00:21:29,184 It's a story of extraordinary adaptation, 380 00:21:29,218 --> 00:21:30,841 the secrets of which are inscribed 381 00:21:30,875 --> 00:21:33,395 in their DNA. 382 00:21:36,985 --> 00:21:40,782 A wing flap away is Emma's center of operations, 383 00:21:40,816 --> 00:21:44,337 a laboratory of mammalian molecular evolution. 384 00:21:44,372 --> 00:21:46,132 Equipped with the latest tech, 385 00:21:46,166 --> 00:21:49,066 it's affectionately called the Batlab. 386 00:21:49,100 --> 00:21:52,034 Here, Emma co-pilots 387 00:21:52,069 --> 00:21:55,106 one of the largest studies of bats in the world. 388 00:21:55,141 --> 00:21:56,970 The project Bat1K 389 00:21:57,005 --> 00:21:59,628 connects over a hundred scientists around the globe 390 00:21:59,663 --> 00:22:01,147 in a joint effort 391 00:22:01,181 --> 00:22:03,598 to sequence the genomes of the approximately 392 00:22:03,632 --> 00:22:05,979 1,400 bat species. 393 00:22:06,014 --> 00:22:07,567 We wanted to sequence 394 00:22:07,602 --> 00:22:11,019 the entire DNA code that's in every single cell 395 00:22:11,053 --> 00:22:12,952 of a particular species, 396 00:22:12,986 --> 00:22:16,438 but we wanted to do it to the quality of the genomes 397 00:22:16,473 --> 00:22:21,029 that we have for humans or mice, so that we could now use this 398 00:22:21,063 --> 00:22:24,860 to investigate the likes of, what have bats evolved 399 00:22:24,895 --> 00:22:28,657 to allow them live with coronaviruses and not die? 400 00:22:31,384 --> 00:22:35,595 Bat1K's approach is to compare the billions of letters 401 00:22:35,630 --> 00:22:39,427 that make up bats' genetic code with the DNA of other mammals. 402 00:22:39,461 --> 00:22:42,188 In theory, finding out what is different 403 00:22:42,222 --> 00:22:46,399 will lead researchers to those parts of the bat genome 404 00:22:46,434 --> 00:22:49,091 responsible for its robust health. 405 00:22:49,126 --> 00:22:52,509 Darwinian selection... did natural selection act 406 00:22:52,543 --> 00:22:54,234 on a particular part of the genome in bats 407 00:22:54,269 --> 00:22:56,340 that make it very different 408 00:22:56,375 --> 00:22:59,101 at the same region in bats and everything else? 409 00:22:59,136 --> 00:23:01,656 And this may indicate that this is the region 410 00:23:01,690 --> 00:23:03,727 that's driving their unique adaptations. 411 00:23:06,833 --> 00:23:11,735 Bat1K has already fully decoded the genomes of six bat species: 412 00:23:11,769 --> 00:23:14,427 the velvety free-tailed bat, 413 00:23:14,462 --> 00:23:16,464 the greater horseshoe bat, 414 00:23:16,498 --> 00:23:18,362 the Egyptian fruit bat, 415 00:23:18,397 --> 00:23:20,640 the pale spear-nosed bat, 416 00:23:20,675 --> 00:23:22,849 the greater mouse-eared bat, 417 00:23:22,884 --> 00:23:26,405 and Kuhl's pipistrelle. 418 00:23:26,439 --> 00:23:29,442 A meticulous comparison of their DNA 419 00:23:29,477 --> 00:23:31,444 with that of land-based mammals 420 00:23:31,479 --> 00:23:35,483 revealed something totally unexpected. 421 00:23:35,517 --> 00:23:37,761 When the bat's ancestor developed wings 422 00:23:37,795 --> 00:23:42,144 and evolved the ability to fly... at least 55 million years ago... 423 00:23:42,179 --> 00:23:45,803 the genes controlling their immune system also evolved, 424 00:23:45,838 --> 00:23:48,219 mutating significantly. 425 00:23:48,254 --> 00:23:50,463 It's as if their evolution as flyers 426 00:23:50,498 --> 00:23:52,189 somehow provoked or required 427 00:23:52,223 --> 00:23:56,607 a similar evolution in their immune system. 428 00:23:56,642 --> 00:23:58,713 They can fly. 429 00:23:58,747 --> 00:24:00,128 They're able to tolerate all their, 430 00:24:00,162 --> 00:24:01,854 these, these unique viruses... is there a connection? 431 00:24:01,888 --> 00:24:03,338 What's the connection? 432 00:24:03,372 --> 00:24:06,479 And this is something I've been working on for a very long time. 433 00:24:06,514 --> 00:24:08,032 I have written research grants. 434 00:24:08,067 --> 00:24:09,965 I've gotten slammed, 435 00:24:10,000 --> 00:24:11,726 I've gotten abuse left, right, and center. 436 00:24:11,760 --> 00:24:14,970 It's caused such scientific controversy, and it still does. 437 00:24:15,005 --> 00:24:17,939 So the idea is, evolving... 438 00:24:17,973 --> 00:24:20,597 Could evolving a new form of locomotion 439 00:24:20,631 --> 00:24:24,739 drive an immunological and a genetic response? 440 00:24:24,773 --> 00:24:25,809 A physiological response? 441 00:24:25,843 --> 00:24:27,811 So I'm going to argue that yes. 442 00:24:27,845 --> 00:24:32,022 For Emma Teeling, bats' extraordinary resistance 443 00:24:32,056 --> 00:24:35,439 to viruses seems to have evolved hand-in-hand 444 00:24:35,474 --> 00:24:37,510 with their other superpower: 445 00:24:37,545 --> 00:24:40,479 their supreme prowess in the air. 446 00:24:40,513 --> 00:24:44,172 But how could flight protect this tiny mammal from sickness? 447 00:24:44,206 --> 00:24:47,071 What is the link between the two? 448 00:24:49,211 --> 00:24:53,181 As the only mammals known to have evolved true flight, 449 00:24:53,215 --> 00:24:56,011 bats' flying technique is totally unique 450 00:24:56,046 --> 00:24:58,566 in the animal kingdom. 451 00:24:58,600 --> 00:25:00,947 Every year at the Frio Cave, 452 00:25:00,982 --> 00:25:04,054 about 70 miles west of San Antonio, Texas, 453 00:25:04,088 --> 00:25:06,470 newborn bat pups will take to the skies 454 00:25:06,505 --> 00:25:08,714 for the very first time. 455 00:25:14,236 --> 00:25:17,654 Millions of female Mexican free-tailed bats migrate here 456 00:25:17,688 --> 00:25:20,691 in the spring, and it's the perfect opportunity 457 00:25:20,726 --> 00:25:23,280 for biologist Gary McCracken 458 00:25:23,314 --> 00:25:28,112 to observe the animals in action. 459 00:25:28,147 --> 00:25:31,184 This is the time of year when mothers are beginning 460 00:25:31,219 --> 00:25:32,876 to give birth to their pups. 461 00:25:32,910 --> 00:25:35,085 We can't go very deep into the cave 462 00:25:35,119 --> 00:25:37,259 with everybody, lights or cameras, 463 00:25:37,294 --> 00:25:39,710 because it's just too disruptive at this time of year 464 00:25:39,745 --> 00:25:44,473 for, for the bats, so we're respectful for that, yeah. 465 00:25:44,508 --> 00:25:46,130 There you go! 466 00:25:48,339 --> 00:25:50,687 Gary goes just inside the mouth of the cave 467 00:25:50,721 --> 00:25:53,724 so he won't disturb the pups. 468 00:25:55,657 --> 00:25:58,557 I well remember the first time 469 00:25:58,591 --> 00:26:02,146 that I went into a Mexican free-tailed bat cave. 470 00:26:02,181 --> 00:26:04,804 I thought I was on the surface of the moon. 471 00:26:04,839 --> 00:26:08,187 I mean, really, the dust covering the rocks, 472 00:26:08,221 --> 00:26:10,603 you, you walk and your footprints stay there, 473 00:26:10,638 --> 00:26:13,433 and then they get reworked by the beetles. 474 00:26:13,468 --> 00:26:14,711 The atmosphere is heavy 475 00:26:14,745 --> 00:26:17,196 with simple compounds of carbon and nitrogen, 476 00:26:17,230 --> 00:26:19,716 methane and ammonia. 477 00:26:19,750 --> 00:26:22,926 I mean, it really does seem like you're on another planet. 478 00:26:28,656 --> 00:26:30,519 When I first saw the babies, 479 00:26:30,554 --> 00:26:34,489 the dense concentrations of babies, it was just amazing. 480 00:26:34,523 --> 00:26:37,078 Soon, you've got 4,000 to 5,000 babies 481 00:26:37,112 --> 00:26:38,631 in an area of about a square meter... 482 00:26:38,666 --> 00:26:41,600 4,000 to 5,000 babies. 483 00:26:41,634 --> 00:26:43,981 After about a month clinging to the walls, 484 00:26:44,016 --> 00:26:48,986 the young pups will attempt their very first flight. 485 00:26:49,021 --> 00:26:51,748 The slightest error could be fatal. 486 00:26:51,782 --> 00:26:54,578 It's really awesome to imagine 487 00:26:54,613 --> 00:26:57,098 what it must be like to take that first flight. 488 00:26:57,132 --> 00:27:00,135 Looking down below... 489 00:27:00,170 --> 00:27:02,206 Thinking about, what happens if I don't make it? 490 00:27:02,241 --> 00:27:05,002 And, and if you don't make it, you're not going to get back. 491 00:27:05,037 --> 00:27:06,107 You're going to, you're going to, 492 00:27:06,141 --> 00:27:07,798 you're going to land in the guano 493 00:27:07,833 --> 00:27:11,008 and, and be eaten by dermestid beetles. 494 00:27:11,043 --> 00:27:13,701 And, you know, the amazing thing is that 495 00:27:13,735 --> 00:27:16,531 it seems that the vast majority of them do make it work. 496 00:27:18,050 --> 00:27:21,225 Once mature, the Mexican free-tailed bat 497 00:27:21,260 --> 00:27:23,572 develops into an extraordinarily powerful 498 00:27:23,607 --> 00:27:27,059 flying machine, and it's their outstanding performance 499 00:27:27,093 --> 00:27:30,683 in the air that Gary has come here to measure. 500 00:27:30,718 --> 00:27:36,413 Helping him is local biologist Jared Holmes. 501 00:27:36,447 --> 00:27:37,828 Yesterday, they started flying 502 00:27:37,863 --> 00:27:40,244 - about 7:30. - Uh-huh, yeah. 503 00:27:40,279 --> 00:27:41,901 So we'll be ready by 7:30, for sure. 504 00:27:41,936 --> 00:27:44,007 Okay. Yeah, we'll have the plane ready to go. 505 00:27:44,041 --> 00:27:46,630 So I'll tell you when we're taking off, 506 00:27:46,665 --> 00:27:48,632 and you get the bat ready 507 00:27:48,667 --> 00:27:51,600 and stick the radio on it. Oh, all right! 508 00:27:51,635 --> 00:27:55,156 These bats weigh a half an ounce, 12 grams. 509 00:27:55,190 --> 00:28:00,195 They are too small, too light with current technology 510 00:28:00,230 --> 00:28:02,715 to carry GPS trackers. 511 00:28:02,750 --> 00:28:05,925 But they can carry these little radios 512 00:28:05,960 --> 00:28:08,479 that are basically location locators. 513 00:28:08,514 --> 00:28:10,723 And we're still looking for a female bat 514 00:28:10,758 --> 00:28:13,830 of, of average size... Average size. 515 00:28:13,864 --> 00:28:15,314 Not too pregnant. 516 00:28:15,348 --> 00:28:18,317 Gotcha. And, uh, and obviously, good health. 517 00:28:18,351 --> 00:28:19,421 A nice plump one. Yup, yeah. 518 00:28:19,456 --> 00:28:21,285 Yeah, just a nice bat. Okay. 519 00:28:24,806 --> 00:28:28,085 The next day, on the tarmac at Garner Field airport, 520 00:28:28,120 --> 00:28:29,500 not far from Frio Cave, 521 00:28:29,535 --> 00:28:33,435 Gary adjusts the settings of his radio telemetry receiver. 522 00:28:33,470 --> 00:28:37,474 This device will use radio signals to follow the bat 523 00:28:37,508 --> 00:28:39,925 that Jared is about to capture and equip 524 00:28:39,959 --> 00:28:40,891 with the transmitter. 525 00:28:43,963 --> 00:28:45,309 With the airplane, 526 00:28:45,344 --> 00:28:50,521 it is possible to triangulate the location of the bat. 527 00:28:50,556 --> 00:28:54,594 And by carefully listening to the signal from the transmitter, 528 00:28:54,629 --> 00:28:58,875 we're able to pinpoint the location with some precision. 529 00:28:58,909 --> 00:29:00,462 Gary, the flight has started. 530 00:29:00,497 --> 00:29:02,775 Are you in the air? 531 00:29:02,810 --> 00:29:04,881 Jared, we're just taking off right now. 532 00:29:04,915 --> 00:29:07,262 We should be there in 15 minutes. 533 00:29:07,297 --> 00:29:08,954 Okay, roger that. 534 00:29:08,988 --> 00:29:10,921 I'm gonna go ahead and try to catch a bat. 535 00:29:10,956 --> 00:29:13,821 Be sure to get a nice, young, fluffy-looking one. 536 00:29:23,727 --> 00:29:26,454 I got a couple in the net, one looks good. 537 00:29:26,488 --> 00:29:28,939 I'm gonna go ahead and tag it, gonna get it released. 538 00:29:28,974 --> 00:29:29,940 Good deal. 539 00:29:29,975 --> 00:29:33,185 This is working really well right now. 540 00:29:37,396 --> 00:29:40,157 Okay, Jared, we're coming in, we're approaching the zone, 541 00:29:40,192 --> 00:29:42,125 we're approaching the zone. 542 00:29:42,159 --> 00:29:44,748 I've got the signal. 543 00:29:44,783 --> 00:29:46,612 We're right overhead. 544 00:29:46,646 --> 00:29:48,165 Okay, you can release! 545 00:29:48,200 --> 00:29:49,788 Releasing her now. 546 00:29:56,242 --> 00:29:59,176 Gary, I see the plane, I hope the bat's coming with you. 547 00:30:00,902 --> 00:30:03,594 Okay... okay... 548 00:30:03,629 --> 00:30:06,321 Okay, okay... got it! Got it, good. 549 00:30:06,356 --> 00:30:10,705 When the bat flies just underneath the plane, 550 00:30:10,739 --> 00:30:13,501 the radio signal gets stronger and the pursuit begins. 551 00:30:13,535 --> 00:30:16,400 As soon as the bat veers off, the signal weakens, 552 00:30:16,435 --> 00:30:21,681 allowing Gary to guide the pilot to stay on the bat's course. 553 00:30:21,716 --> 00:30:23,304 Can you speed up just a little bit? 554 00:30:23,338 --> 00:30:25,064 We're losing her, we're losing her. 555 00:30:25,099 --> 00:30:26,514 A little bit, a little bit. 556 00:30:26,548 --> 00:30:29,793 Right on top, got it! 557 00:30:31,760 --> 00:30:34,902 The plane is able to follow the bat for three hours 558 00:30:34,936 --> 00:30:39,389 as it circles the area, hunting flying insects. 559 00:30:39,423 --> 00:30:41,840 Now she's heading back north, 560 00:30:41,874 --> 00:30:44,704 heading back in the direction of the cave. 561 00:30:44,739 --> 00:30:48,053 I think she, our bat went home. 562 00:30:48,087 --> 00:30:51,366 This is so cool... wow. 563 00:30:51,401 --> 00:30:53,023 When radio telemetry was used 564 00:30:53,058 --> 00:30:56,889 a few years ago, it allowed scientists to track 565 00:30:56,924 --> 00:31:00,065 the Mexican free-tailed bat for the first time 566 00:31:00,099 --> 00:31:03,102 in mid-flight with jaw-dropping results. 567 00:31:03,137 --> 00:31:06,174 We knew the bats were flying long distances. 568 00:31:06,209 --> 00:31:09,177 We knew that this particular type of bat 569 00:31:09,212 --> 00:31:11,973 can fly really, really fast. 570 00:31:12,008 --> 00:31:16,115 But we, we didn't expect to see this, this sort of performance. 571 00:31:16,150 --> 00:31:19,739 We think we've seen a bat going 100 miles an hour. 572 00:31:22,190 --> 00:31:23,743 After studying the data, 573 00:31:23,778 --> 00:31:26,574 initial field observations were confirmed: 574 00:31:26,608 --> 00:31:29,025 the Mexican free-tailed bat got up to speeds 575 00:31:29,059 --> 00:31:31,544 of about 100 miles per hour, 576 00:31:31,579 --> 00:31:34,927 the fastest horizontal flight of any animal 577 00:31:34,962 --> 00:31:37,309 ever recorded. 578 00:31:37,343 --> 00:31:41,037 But even if bats have proved to be the fastest flyers, 579 00:31:41,071 --> 00:31:45,524 how would that help them to resist diseases? 580 00:31:52,980 --> 00:31:55,741 Back on terra firma, scientists at Brown University 581 00:31:55,775 --> 00:31:58,399 are studying the possible connections 582 00:31:58,433 --> 00:32:00,677 between bat flight and bat health. 583 00:32:04,543 --> 00:32:08,547 Kenny Breuer is an aeronautical engineer, 584 00:32:08,581 --> 00:32:10,135 and for the past 15 years, 585 00:32:10,169 --> 00:32:11,999 he has been creating mechanical wings 586 00:32:12,033 --> 00:32:14,829 that imitate the bat's anatomy. 587 00:32:14,863 --> 00:32:17,349 His prototypes have improved, 588 00:32:17,383 --> 00:32:19,938 but nothing comes close to the real thing. 589 00:32:21,801 --> 00:32:25,736 They have, however, helped him understand the physical effort 590 00:32:25,771 --> 00:32:29,154 required for bats to navigate the skies. 591 00:32:31,087 --> 00:32:33,468 Flying is an expensive operation 592 00:32:33,503 --> 00:32:35,263 in terms of energy... it takes a lot of energy 593 00:32:35,298 --> 00:32:37,783 to get into the air and to propel yourself. 594 00:32:37,817 --> 00:32:40,544 And you have to not only generate your own thrust, 595 00:32:40,579 --> 00:32:42,477 but you have to overcome 596 00:32:42,512 --> 00:32:44,997 the drag that is, that is experienced 597 00:32:45,032 --> 00:32:46,826 by your body and by your wings. 598 00:32:48,897 --> 00:32:51,555 Scientists estimate that the physical effort 599 00:32:51,590 --> 00:32:55,283 expended by a bat in flight is about three times more than 600 00:32:55,318 --> 00:32:57,803 a terrestrial mammal of the same size 601 00:32:57,837 --> 00:32:59,943 running at full speed. 602 00:32:59,978 --> 00:33:03,015 The heartbeat of certain flying bats can reach 603 00:33:03,050 --> 00:33:06,605 1,066 beats per minute. 604 00:33:08,572 --> 00:33:14,164 Could this level of activity, unrivaled by any other mammal, 605 00:33:14,199 --> 00:33:16,891 somehow explain bats' super-immunity? 606 00:33:20,274 --> 00:33:21,378 A few measurements 607 00:33:21,413 --> 00:33:24,554 have suggested that body temperature in bats 608 00:33:24,588 --> 00:33:27,074 might be unusually high. 609 00:33:27,108 --> 00:33:30,180 This has led some scientists to suggest 610 00:33:30,215 --> 00:33:34,046 that bats' body temperatures might be so high, 611 00:33:34,081 --> 00:33:39,224 that it's as if they continually operate 612 00:33:39,258 --> 00:33:41,881 at fever-like temperatures 613 00:33:41,916 --> 00:33:44,781 during their nightly flights. 614 00:33:46,541 --> 00:33:51,132 Fever is well-known as a means of fighting infection. 615 00:33:51,167 --> 00:33:54,446 High temperatures slow down the replication of the virus 616 00:33:54,480 --> 00:33:57,069 and boost the foot soldiers of the immune system 617 00:33:57,104 --> 00:33:59,244 to devour intruders. 618 00:33:59,278 --> 00:34:04,421 A feverish body is a hostile environment for a virus. 619 00:34:06,561 --> 00:34:08,391 So could the extreme energy spent 620 00:34:08,425 --> 00:34:10,048 during nightly hunting forays 621 00:34:10,082 --> 00:34:12,429 cause a spike in body temperature 622 00:34:12,464 --> 00:34:14,535 that would protect bats from viruses? 623 00:34:14,569 --> 00:34:15,950 To know for sure, 624 00:34:15,984 --> 00:34:19,436 scientists must collect data in perfectly controlled conditions. 625 00:34:19,471 --> 00:34:24,717 This is where the Egyptian fruit bat comes in. 626 00:34:24,752 --> 00:34:26,098 With its two-foot wingspan, 627 00:34:26,133 --> 00:34:29,067 it is a remarkable flying machine. 628 00:34:32,518 --> 00:34:36,626 Equipped with expertly placed mini-thermometers, 629 00:34:36,660 --> 00:34:41,389 the animal takes flight under the team's watchful eye. 630 00:34:41,424 --> 00:34:44,565 Oh, my God, that's not bad! 631 00:34:44,599 --> 00:34:46,463 I'm very impressed. 632 00:34:46,498 --> 00:34:49,017 - Great spread! - Yeah. 633 00:35:10,936 --> 00:35:14,077 The experiment was performed on four different bats, 634 00:35:14,112 --> 00:35:18,219 and the result was exactly the same for each one. 635 00:35:21,222 --> 00:35:22,879 We got these temperature traces 636 00:35:22,913 --> 00:35:25,640 for three muscles along the bat wing. 637 00:35:25,675 --> 00:35:28,402 So the red is a muscle that's in the core, 638 00:35:28,436 --> 00:35:31,370 the pectoralis muscle, which is really important for flight. 639 00:35:31,405 --> 00:35:33,234 And then we have the biceps and the muscle 640 00:35:33,269 --> 00:35:34,925 in the forearm of the bat. 641 00:35:34,960 --> 00:35:36,168 So closest to the core, 642 00:35:36,203 --> 00:35:38,791 and then the blue curve is furthest from the core. 643 00:35:38,826 --> 00:35:40,621 And as time proceeds, 644 00:35:40,655 --> 00:35:43,175 the red and the green muscle stay pretty close 645 00:35:43,210 --> 00:35:46,040 to the high body temperature that it started with. 646 00:35:46,074 --> 00:35:49,940 But as we move through time, the blue muscle, 647 00:35:49,975 --> 00:35:52,219 the forearm muscle that's further away from the core, 648 00:35:52,253 --> 00:35:55,394 gets really cold and stays cold. 649 00:35:55,429 --> 00:35:57,258 As they're flying, they're flapping their wings. 650 00:35:57,293 --> 00:35:59,122 And so heat is going to be wicked away 651 00:35:59,157 --> 00:36:00,365 from, from the bat wings, 652 00:36:00,399 --> 00:36:02,608 just by virtue of their movement. 653 00:36:02,643 --> 00:36:05,197 And so bats are really effective at dumping heat, 654 00:36:05,232 --> 00:36:06,923 even if they're generating a lot, 655 00:36:06,957 --> 00:36:10,651 and their body temperatures stay fairly normal. 656 00:36:13,343 --> 00:36:15,932 In other words, the naked wings of bats 657 00:36:15,966 --> 00:36:18,866 act as an ultra-efficient cooling system 658 00:36:18,900 --> 00:36:21,386 that keeps their temperatures from rising. 659 00:36:27,909 --> 00:36:30,084 There's no fever-like temperatures 660 00:36:30,118 --> 00:36:33,501 that could explain their super-immunity. 661 00:36:36,401 --> 00:36:39,783 But some researchers are still convinced that flight 662 00:36:39,818 --> 00:36:43,028 must have somehow helped shape their immune system. 663 00:37:00,321 --> 00:37:02,012 It sounds, like, very promising... 664 00:37:02,047 --> 00:37:03,428 One believer 665 00:37:03,462 --> 00:37:06,534 is Linfa Wang, and he thinks he's found out how. 666 00:37:08,364 --> 00:37:11,159 Especially in the very ancient bats, 667 00:37:11,194 --> 00:37:14,577 when they just acquired flight capability, 668 00:37:14,611 --> 00:37:17,200 the number-one challenge they have to deal with 669 00:37:17,235 --> 00:37:18,891 is this high metabolism. 670 00:37:18,926 --> 00:37:22,688 The high metabolism required for flight 671 00:37:22,723 --> 00:37:24,138 should lead to inflammation: 672 00:37:24,172 --> 00:37:26,140 when animals' muscles work really hard, 673 00:37:26,174 --> 00:37:30,075 the intense physical activity creates toxic by-products, 674 00:37:30,109 --> 00:37:32,388 and these usually trigger inflammation. 675 00:37:32,422 --> 00:37:35,839 Inflammation intrigues Linfa, because it is also caused 676 00:37:35,874 --> 00:37:38,704 by viral infections, and in humans, 677 00:37:38,739 --> 00:37:42,536 too much inflammation can have devastating effects. 678 00:37:42,570 --> 00:37:44,710 For other mammals, human included, 679 00:37:44,745 --> 00:37:48,300 when the coordination goes, you know, out a window, 680 00:37:48,335 --> 00:37:50,060 and then when you over-defense, 681 00:37:50,095 --> 00:37:53,443 that actually cause the pathology. 682 00:37:53,478 --> 00:37:55,342 You know, now you get disease. 683 00:37:55,376 --> 00:37:57,758 So we have a cliché in our field to say, 684 00:37:57,792 --> 00:38:00,623 "Very few virus kills us, we kill ourself." 685 00:38:00,657 --> 00:38:04,143 This is what happened in some of the most severe 686 00:38:04,178 --> 00:38:07,008 cases of COVID-19, when patients' immune systems 687 00:38:07,043 --> 00:38:09,666 raged out of control 688 00:38:09,701 --> 00:38:11,806 with so-called cytokine storms. 689 00:38:14,844 --> 00:38:17,985 Cytokines, like interferons, 690 00:38:18,019 --> 00:38:20,090 are molecules manufactured by the body 691 00:38:20,125 --> 00:38:23,956 to regulate an immune response in case of an attack. 692 00:38:23,991 --> 00:38:25,924 Sometimes, the system goes berserk 693 00:38:25,958 --> 00:38:28,340 and produces too many cytokines. 694 00:38:28,375 --> 00:38:31,826 The resulting inflammation doesn't just hurt the virus, 695 00:38:31,861 --> 00:38:35,554 but everything in its path, including organs like the lungs, 696 00:38:35,589 --> 00:38:38,971 heart, and even the brain. 697 00:38:39,006 --> 00:38:44,391 But bats don't seem to experience these symptoms. 698 00:38:44,425 --> 00:38:46,531 So, have bats figured out a way 699 00:38:46,565 --> 00:38:48,947 to control the inflammation associated with 700 00:38:48,981 --> 00:38:52,571 both high metabolism and infection? 701 00:38:52,606 --> 00:38:54,228 To find out, 702 00:38:54,262 --> 00:38:56,368 Wang's team is mixing bat immune cells 703 00:38:56,403 --> 00:38:58,577 with toxic molecules 704 00:38:58,612 --> 00:39:00,890 that, in humans, would trigger inflammation. 705 00:39:04,376 --> 00:39:06,861 So actually, we have isolated bat immune cells 706 00:39:06,896 --> 00:39:10,106 and treated them with the toxic substances 707 00:39:10,140 --> 00:39:12,039 that are produced by the body 708 00:39:12,073 --> 00:39:13,937 when the metabolism is high. 709 00:39:13,972 --> 00:39:15,974 In most animals, 710 00:39:16,008 --> 00:39:19,011 like humans, these toxins trigger 711 00:39:19,046 --> 00:39:22,601 the production of a protein called NLRP3, 712 00:39:22,636 --> 00:39:24,189 which in turn ramps up 713 00:39:24,223 --> 00:39:25,880 the immune response and inflammation. 714 00:39:25,915 --> 00:39:30,471 This microscope reveals the presence of the protein 715 00:39:30,506 --> 00:39:34,510 in the form of a red dot. 716 00:39:34,544 --> 00:39:36,926 We are comparing the inflammatory response 717 00:39:36,960 --> 00:39:38,686 between human and bat cells. 718 00:39:38,721 --> 00:39:41,620 In the human cells, the red dot shows that the protein 719 00:39:41,655 --> 00:39:44,934 is being produced, meaning the immune response has begun. 720 00:39:44,968 --> 00:39:47,315 But over on the bat side, 721 00:39:47,350 --> 00:39:49,766 there are no red dots, meaning no protein 722 00:39:49,801 --> 00:39:51,941 and no immune response. 723 00:39:51,975 --> 00:39:53,977 Their cells seem to have tolerated the attack 724 00:39:54,012 --> 00:39:55,254 of the added toxins 725 00:39:55,289 --> 00:39:58,603 without any immune reaction. 726 00:39:58,637 --> 00:40:02,607 So, the bat have naturally tempered NLRP3 protein, 727 00:40:02,641 --> 00:40:06,093 so that the stress-related and the viral-induced inflammation 728 00:40:06,127 --> 00:40:07,888 always stay under control. 729 00:40:09,579 --> 00:40:11,512 To become successful flyers, 730 00:40:11,547 --> 00:40:14,446 bats had to tamp down their response to the toxins 731 00:40:14,481 --> 00:40:17,725 produced during flight and prevent inflammation. 732 00:40:17,760 --> 00:40:21,522 Linfa Wang thinks this same anti-inflammatory chemistry 733 00:40:21,557 --> 00:40:26,665 is what's preventing bats from over-reacting to viruses. 734 00:40:26,700 --> 00:40:29,668 Bats are very good virus reservoirs. 735 00:40:29,703 --> 00:40:33,983 You know, we believe is that their adaptation to flight. 736 00:40:34,017 --> 00:40:38,401 So that created a very different immune system. 737 00:40:38,436 --> 00:40:42,060 Of course, that was evolved not to host virus, per se. 738 00:40:42,094 --> 00:40:44,303 That's evolved adaptation to flight. 739 00:40:44,338 --> 00:40:46,858 So their ability to host virus 740 00:40:46,892 --> 00:40:50,137 is almost like a by-product, in my view. 741 00:40:50,171 --> 00:40:54,624 For the team in Singapore, this unique adaptation isn't just 742 00:40:54,659 --> 00:40:57,627 an evolutionary curiosity... it could pave the way 743 00:40:57,662 --> 00:41:00,492 to revolutionary new therapies for all sorts of 744 00:41:00,527 --> 00:41:03,081 human diseases that involve inflammation. 745 00:41:03,115 --> 00:41:05,117 In COVID-19 infections 746 00:41:05,152 --> 00:41:09,087 and many age-related chronic diseases, 747 00:41:09,121 --> 00:41:13,505 such as Alzheimer's or stroke, coronary artery disease, 748 00:41:13,540 --> 00:41:16,991 diabetes... in all these diseases, 749 00:41:17,026 --> 00:41:19,442 inflammation is over-activated. 750 00:41:19,477 --> 00:41:20,926 That cause a lot of problem. 751 00:41:27,277 --> 00:41:30,591 I'm really excited, from a basic scientist's point of view, 752 00:41:30,626 --> 00:41:33,732 is that we are studying a very important mammal 753 00:41:33,767 --> 00:41:37,218 as a model for living, you know, 754 00:41:37,253 --> 00:41:39,393 a health, you know... I mean, 755 00:41:39,427 --> 00:41:41,119 to health living and longevity, yeah. 756 00:41:42,983 --> 00:41:45,744 This is the paradox of the bat. 757 00:41:45,779 --> 00:41:48,575 Held responsible for a pandemic, 758 00:41:48,609 --> 00:41:51,094 could the bat also be the source 759 00:41:51,129 --> 00:41:53,096 of potential new cures? 760 00:41:53,131 --> 00:41:55,478 Not just to fight disease, 761 00:41:55,513 --> 00:41:57,515 but also old age? 762 00:41:57,549 --> 00:41:59,793 Could the bat, maligned and misunderstood as it is, 763 00:41:59,827 --> 00:42:03,590 also teach us the secret to growing old healthier? 764 00:42:19,537 --> 00:42:22,850 This is Beganne, a village in Brittany, France, 765 00:42:22,885 --> 00:42:27,510 whose bell tower is a well-known refuge for bats. 766 00:42:27,545 --> 00:42:31,445 Every summer, dozens of female greater mouse-eared bats 767 00:42:31,479 --> 00:42:35,138 roost in its rafters, giving birth to their pups... 768 00:42:35,173 --> 00:42:38,210 a species whose exceptional, long lifespans 769 00:42:38,245 --> 00:42:41,593 fascinate scientists like Eric Petit. 770 00:42:41,628 --> 00:42:44,113 But he must wait for nightfall 771 00:42:44,147 --> 00:42:47,910 to spot the newborns and their mothers. 772 00:42:49,808 --> 00:42:52,811 With the greater mouse-eared bat, you have to be patient. 773 00:42:52,846 --> 00:42:54,606 They don't come out very early, 774 00:42:54,641 --> 00:42:58,334 so we've often got to wait a long time. 775 00:43:01,026 --> 00:43:03,650 We're in front of the exit. 776 00:43:03,684 --> 00:43:07,826 In this colony, there's about 90 adults. 777 00:43:07,861 --> 00:43:09,828 We're hearing something over there. 778 00:43:09,863 --> 00:43:11,761 I think they're just behind the drainpipe. 779 00:43:13,176 --> 00:43:15,213 They're difficult to see, 780 00:43:15,247 --> 00:43:19,873 discreetly slipping out from behind the drainpipe. 781 00:43:19,907 --> 00:43:22,669 But a thermal camera reveals the frenzied 782 00:43:22,703 --> 00:43:26,189 nocturnal ballet taking place around the church. 783 00:43:34,404 --> 00:43:36,165 In the surrounding underbrush, 784 00:43:36,199 --> 00:43:40,272 this nocturnal acrobat shows the full range of its agility. 785 00:43:44,656 --> 00:43:47,003 The greater mouse-eared bat is known for hunting 786 00:43:47,038 --> 00:43:49,212 between 12 and 24 inches from the ground. 787 00:43:49,247 --> 00:43:51,801 They listen for beetles making noise 788 00:43:51,836 --> 00:43:53,665 walking through the underbrush. 789 00:43:56,150 --> 00:43:59,119 As soon as they hear one, they jump on top, 790 00:43:59,153 --> 00:44:02,191 grab hold of it, and fly off. 791 00:44:03,986 --> 00:44:07,714 But it's not their agile flight or unusual hunting methods 792 00:44:07,748 --> 00:44:11,234 that have caught the attention of scientists the world over. 793 00:44:11,269 --> 00:44:12,580 It's their amazing longevity, 794 00:44:12,615 --> 00:44:15,549 which seems to defy the laws of nature. 795 00:44:17,068 --> 00:44:19,691 There is a general rule in biology. 796 00:44:19,726 --> 00:44:22,211 Smaller animals don't live very long, 797 00:44:22,245 --> 00:44:25,007 while larger animals live much longer. 798 00:44:25,041 --> 00:44:27,285 Mice live for a couple of years, 799 00:44:27,319 --> 00:44:29,667 while elephants can live dozens of years. 800 00:44:29,701 --> 00:44:31,738 The oldest greater mouse-eared bat 801 00:44:31,772 --> 00:44:34,050 ever recorded was 37 years old. 802 00:44:34,085 --> 00:44:36,708 But the record for longest life 803 00:44:36,743 --> 00:44:41,230 is actually held by a cousin of the greater mouse-eared bat. 804 00:44:41,264 --> 00:44:44,474 The Brandt's bat weighs less than a quarter of an ounce, 805 00:44:44,509 --> 00:44:47,650 yet researchers captured a specimen that was at least 806 00:44:47,685 --> 00:44:51,896 41 years old... a lifespan ten times longer 807 00:44:51,930 --> 00:44:54,622 than theoretically expected. 808 00:45:03,770 --> 00:45:06,048 What's really fascinating with bats 809 00:45:06,082 --> 00:45:07,739 is that if you capture an individual 810 00:45:07,774 --> 00:45:10,708 that is two years old, or one that is 15 or 20 years old, 811 00:45:10,742 --> 00:45:13,814 you can't see any difference between the two. 812 00:45:13,849 --> 00:45:15,920 With humans, dogs, and most other species, 813 00:45:15,954 --> 00:45:16,955 you would see an individual 814 00:45:16,990 --> 00:45:18,785 that has aged. 815 00:45:18,819 --> 00:45:21,132 Sébastien Puechmaille studies aging 816 00:45:21,166 --> 00:45:25,792 at the Institute of Evolutionary Science in Montpellier, France. 817 00:45:35,077 --> 00:45:37,873 When we study aging, one of the first things we look at 818 00:45:37,907 --> 00:45:40,703 is the central part of the cell, which is shown here, 819 00:45:40,738 --> 00:45:43,085 the nucleus. 820 00:45:43,119 --> 00:45:45,639 Inside the nucleus, you see these kinds of small Xs. 821 00:45:45,673 --> 00:45:48,331 These are the chromosomes. 822 00:45:48,366 --> 00:45:49,781 I've zoomed in on the most important part 823 00:45:49,816 --> 00:45:52,404 of the chromosome here, its extremities, 824 00:45:52,439 --> 00:45:56,029 which we see in red. 825 00:45:56,063 --> 00:46:01,310 These are what we call telomeres. 826 00:46:01,344 --> 00:46:03,174 So this telomere is a long fragment 827 00:46:03,208 --> 00:46:07,350 that is in charge of protecting the chromosome's extremity. 828 00:46:07,385 --> 00:46:10,768 On young cells, the telomere is very long, 829 00:46:10,802 --> 00:46:15,738 and over time, as the cell ages, the telomere gets shorter. 830 00:46:15,773 --> 00:46:18,983 At some point, it will get so short 831 00:46:19,017 --> 00:46:21,813 that it will directly affect the integrity of the chromosome 832 00:46:21,848 --> 00:46:23,642 and the health of the cell. 833 00:46:23,677 --> 00:46:27,060 Scientists think that the shortening of telomeres 834 00:46:27,094 --> 00:46:30,718 over time is one of the key triggers of cell death, 835 00:46:30,753 --> 00:46:34,343 influencing the aging process and the lifespan 836 00:46:34,377 --> 00:46:37,760 of all mammalian species. 837 00:46:37,795 --> 00:46:40,142 So what's the deal with bats? 838 00:46:42,627 --> 00:46:45,595 For the past ten years, the bat colony at the church 839 00:46:45,630 --> 00:46:48,219 in Beganne has been at the heart of a study 840 00:46:48,253 --> 00:46:52,499 to figure out the secret to bats' long lives. 841 00:46:52,533 --> 00:46:55,122 Every summer, Sébastien Puechmaille 842 00:46:55,157 --> 00:46:56,848 meets up with Emma Teeling and her team 843 00:46:56,883 --> 00:46:58,436 to collect samples that allow them 844 00:46:58,470 --> 00:47:03,061 to follow individual bats and their aging process. 845 00:47:03,096 --> 00:47:05,546 An implant gun is used to insert a magnetic 846 00:47:05,581 --> 00:47:08,998 identification chip the size of a grain of rice 847 00:47:09,033 --> 00:47:11,829 under the skin between the shoulder blades. 848 00:47:11,863 --> 00:47:16,212 Dozens of juveniles had been tagged this summer. 849 00:47:16,247 --> 00:47:17,524 When we say "tag," 850 00:47:17,558 --> 00:47:19,906 it means inserting these tiny microchips, 851 00:47:19,940 --> 00:47:23,737 like we do with dogs and cats at the vet. 852 00:47:23,771 --> 00:47:25,290 This allows us to recognize 853 00:47:25,325 --> 00:47:28,052 the same individuals year after year 854 00:47:28,086 --> 00:47:31,814 and to follow their aging. 855 00:47:31,849 --> 00:47:34,437 The oldest tagged individuals are now ten years old. 856 00:47:36,750 --> 00:47:38,683 These are our sample numbers, so what we take back to UCD. 857 00:47:38,717 --> 00:47:41,030 Right. So we know who's who, and there she is. 858 00:47:41,065 --> 00:47:42,307 Isn't that beautiful? 859 00:47:42,342 --> 00:47:43,930 Gorgeous. 860 00:47:43,964 --> 00:47:45,276 Is that a baby? 861 00:47:45,310 --> 00:47:46,760 We're gonna find out now in a minute! 862 00:47:46,794 --> 00:47:47,795 It looks like an adult. 863 00:47:47,830 --> 00:47:49,038 Do you want to bet? - Yeah! 864 00:47:49,073 --> 00:47:50,764 You say a baby or an adult? - Adult. 865 00:47:50,798 --> 00:47:53,663 Okay, can we, will we check to see by shining? 866 00:47:53,698 --> 00:47:55,769 It's an adult! 867 00:47:55,803 --> 00:47:57,875 Now we are going to take the blood. 868 00:47:57,909 --> 00:47:59,531 Quite dark, isn't it? 869 00:47:59,566 --> 00:48:01,740 Whether it's a drop of blood 870 00:48:01,775 --> 00:48:04,226 or a small skin fragment, the samples taken every year 871 00:48:04,260 --> 00:48:08,886 are conserved carefully in liquid nitrogen. 872 00:48:08,920 --> 00:48:10,818 Do you see how relaxed the bat is? 873 00:48:10,853 --> 00:48:11,923 Yeah. 874 00:48:11,958 --> 00:48:13,062 It doesn't hurt them at all. 875 00:48:13,097 --> 00:48:14,305 As long as they're in capable hands, 876 00:48:14,339 --> 00:48:15,754 with people who know how to hold them properly 877 00:48:15,789 --> 00:48:18,205 and correctly. 878 00:48:18,240 --> 00:48:19,897 So there it is! 879 00:48:19,931 --> 00:48:23,348 Secret of everlasting youth. 880 00:48:25,074 --> 00:48:28,284 Some of the precious samples taken in Beganne are stored 881 00:48:28,319 --> 00:48:32,150 in Sébastien's basement laboratory in Montpellier. 882 00:48:32,185 --> 00:48:33,703 To see if the greater mouse-eared bat's longevity 883 00:48:33,738 --> 00:48:35,671 could be linked to the length of its telomeres, 884 00:48:35,705 --> 00:48:38,329 scientists have compared them with those 885 00:48:38,363 --> 00:48:40,158 of the common bent-winged bat, 886 00:48:40,193 --> 00:48:43,782 a species of bat that usually dies before it reaches 20. 887 00:48:46,095 --> 00:48:48,580 What you see with the common bent-winged bat, 888 00:48:48,615 --> 00:48:50,203 which has a short lifespan, 889 00:48:50,237 --> 00:48:52,170 that the telomeres shorten with age. 890 00:48:52,205 --> 00:48:53,413 You see that very clear progression. 891 00:48:53,447 --> 00:48:56,864 On the other hand, the greater mouse-eared bat 892 00:48:56,899 --> 00:48:59,729 shows absolutely no shortening of the telomeres. 893 00:48:59,764 --> 00:49:01,559 On the contrary, you can see clearly 894 00:49:01,593 --> 00:49:04,976 that they remain constant as the individual ages. 895 00:49:05,011 --> 00:49:06,805 So an individual bat which is ten years old 896 00:49:06,840 --> 00:49:08,807 or one year old, 897 00:49:08,842 --> 00:49:12,121 the telomeres will be exactly the same length. 898 00:49:12,156 --> 00:49:14,123 What we found was extraordinary. 899 00:49:14,158 --> 00:49:18,403 In the longest-lived genera of bats, the myotis bats, 900 00:49:18,438 --> 00:49:21,820 their telomeres do not shorten with age. 901 00:49:21,855 --> 00:49:23,684 And this was very unique. 902 00:49:23,719 --> 00:49:26,032 We didn't really see this in any other mammal. 903 00:49:26,066 --> 00:49:30,174 Telomeres shorten in us, in badgers, in sea lions. 904 00:49:30,208 --> 00:49:31,692 So this was extraordinary. 905 00:49:31,727 --> 00:49:34,592 Emma and Sébastien believe 906 00:49:34,626 --> 00:49:36,076 that the greater mouse-eared bat's 907 00:49:36,111 --> 00:49:38,389 extraordinarily long life 908 00:49:38,423 --> 00:49:40,425 is linked to the resilience of its telomeres. 909 00:49:42,220 --> 00:49:44,395 But how does this genetic material 910 00:49:44,429 --> 00:49:47,156 withstand the passage of time? 911 00:49:51,264 --> 00:49:53,852 To find out, scientists compared the genes 912 00:49:53,887 --> 00:49:57,097 of the greater mouse-eared bat with other mammals 913 00:49:57,132 --> 00:50:00,825 and uncovered some key differences. 914 00:50:00,859 --> 00:50:02,965 We found two or three genes 915 00:50:03,000 --> 00:50:05,795 that we think are evolving in a different way in bats, 916 00:50:05,830 --> 00:50:09,696 that we think are the genes that allow this thing 917 00:50:09,730 --> 00:50:13,458 called alternative telomere lengthening happen in bats. 918 00:50:13,493 --> 00:50:16,496 So bats are able to use a different mechanism 919 00:50:16,530 --> 00:50:19,430 to maintain their telomeres with age. 920 00:50:19,464 --> 00:50:23,882 Are these genes the key to the bats' long and healthy lives? 921 00:50:23,917 --> 00:50:25,746 And could they one day protect 922 00:50:25,781 --> 00:50:29,026 against the effects of aging in humans, as well? 923 00:50:29,060 --> 00:50:31,545 Scientists aren't about to turn this discovery 924 00:50:31,580 --> 00:50:35,101 into an elixir of youth, but researchers like Emma 925 00:50:35,135 --> 00:50:37,137 are optimistic for the future. 926 00:50:37,172 --> 00:50:40,692 Their adventure with bats has just begun. 927 00:50:47,216 --> 00:50:50,737 Echolocation that allows them to see in total darkness. 928 00:50:50,771 --> 00:50:55,017 Flight speed that is unrivaled by any other animal. 929 00:50:55,052 --> 00:50:57,916 They are impervious to most viruses, 930 00:50:57,951 --> 00:51:00,057 insensitive to aging, 931 00:51:00,091 --> 00:51:04,958 and the masters of a marvelously controlled immune system. 932 00:51:04,992 --> 00:51:10,067 Not bad for an animal so long despised. 933 00:51:10,101 --> 00:51:12,759 Looking at bats, one of the most vilified 934 00:51:12,793 --> 00:51:16,038 and terrifying, potentially, of all mammals. 935 00:51:16,073 --> 00:51:18,696 If we look at them in a slightly different light, 936 00:51:18,730 --> 00:51:23,114 we will be able to find ways to improve human existence. 937 00:51:28,568 --> 00:51:32,054 The product of millions of years of adaptation, 938 00:51:32,089 --> 00:51:34,229 bats are now emerging from the shadows 939 00:51:34,263 --> 00:51:36,714 as extraordinary creatures 940 00:51:36,748 --> 00:51:38,647 that could potentially light a path 941 00:51:38,681 --> 00:51:44,204 for longer, and healthier, human lives. 74161

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