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These are the user uploaded subtitles that are being translated: 1 00:00:00,971 --> 00:00:02,938 ♪ ♪ 2 00:00:05,405 --> 00:00:09,438 ♪ ♪ 3 00:00:09,471 --> 00:00:15,705 NARRATOR: 60 miles west of Bangkok is the Khao Chong Phran cave, 4 00:00:15,738 --> 00:00:18,205 {\an1}famous throughout all of Asia. 5 00:00:18,238 --> 00:00:21,238 ♪ ♪ 6 00:00:21,271 --> 00:00:25,205 For centuries, a sanctuary for the faithful... 7 00:00:25,238 --> 00:00:29,705 {\an1}and now, the curious. 8 00:00:32,305 --> 00:00:34,238 {\an1}Scientists... who come to learn 9 00:00:34,271 --> 00:00:37,571 {\an1}from the most unusual of creatures... 10 00:00:37,605 --> 00:00:44,705 {\an8}♪ ♪ 11 00:00:44,738 --> 00:00:49,305 {\an1}As the sun sets, three million bats begin to stir, 12 00:00:49,338 --> 00:00:53,271 {\an1}preparing for one of nature's greatest spectacles. 13 00:00:53,305 --> 00:00:56,538 {\an1}Rocketing to the skies in a blizzard of flapping wings, 14 00:00:56,571 --> 00:01:00,905 {\an1}they will pass the night gorging on insects. 15 00:01:03,638 --> 00:01:08,805 {\an1}This epic nocturnal excursion is a feast for the eyes. 16 00:01:08,838 --> 00:01:14,905 {\an1}But for science, bats are much more: a biological treasure. 17 00:01:17,205 --> 00:01:19,771 EMMA TEELING: They are by far 18 00:01:19,805 --> 00:01:21,971 {\an1}the most fascinating of all animals. 19 00:01:22,005 --> 00:01:23,505 (squeaking) 20 00:01:23,538 --> 00:01:26,871 SHARON SWARTZ: They are remarkable and extraordinary creatures. 21 00:01:28,405 --> 00:01:31,305 JARED HOLMES: As a biologist, it's my job to really tell people that 22 00:01:31,338 --> 00:01:32,971 {\an1}we, we need the bats. 23 00:01:33,005 --> 00:01:35,538 NARRATOR: There are more than 1,400 24 00:01:35,571 --> 00:01:38,305 {\an1}different species of bats, playing crucial roles 25 00:01:38,338 --> 00:01:42,171 in ecosystems all over the world. 26 00:01:42,205 --> 00:01:46,938 {\an1}But for many people, bats are the stuff of nightmares. 27 00:01:46,971 --> 00:01:49,738 {\an7}Bats have been demonized in the society. 28 00:01:49,771 --> 00:01:52,071 {\an8}♪ ♪ 29 00:01:52,105 --> 00:01:55,238 KENNY BREUER: I thought bats were scary and creepy 30 00:01:55,271 --> 00:01:56,905 and a little bit kind of unpleasant. 31 00:01:58,005 --> 00:01:59,971 (screams) 32 00:02:00,005 --> 00:02:02,938 NARRATOR: Already vilified in pop culture, 33 00:02:02,971 --> 00:02:04,938 {\an1}recent news reports 34 00:02:04,971 --> 00:02:10,071 {\an1}have been giving bats an especially dangerous rep. 35 00:02:10,105 --> 00:02:14,105 {\an7}The ancestor of the virus in humans had to be a bat virus. 36 00:02:14,138 --> 00:02:16,205 {\an8}(translated): There is a virus that is 96% similar 37 00:02:16,238 --> 00:02:17,771 {\an7}to this new coronavirus in bats. 38 00:02:17,805 --> 00:02:20,838 {\an8}REPORTER: Early research suggests human picked up the coronavirus 39 00:02:20,871 --> 00:02:22,705 {\an7}from animals, possibly bats. 40 00:02:22,738 --> 00:02:25,671 {\an8}NARRATOR: Though we still don't know the exact source of the virus 41 00:02:25,705 --> 00:02:30,238 {\an1}that started the COVID pandemic, bats are a prime suspect. 42 00:02:31,571 --> 00:02:34,371 {\an1}But rather than fear these flying creatures, 43 00:02:34,405 --> 00:02:37,938 {\an1}biologists are hailing them as potential saviors. 44 00:02:39,371 --> 00:02:42,505 {\an8}MATAE AHN: They can really get infection without getting sick. 45 00:02:43,405 --> 00:02:44,838 {\an8}LINFA WANG: Bats teach us lesson, 46 00:02:44,871 --> 00:02:46,671 {\an7}not to suffer autoimmune disease, 47 00:02:46,705 --> 00:02:48,238 {\an7}diabetes, arthritis. 48 00:02:48,271 --> 00:02:49,381 {\an1}SÉBASTIEN PUECHMAILLE (translated): Whether you capture a bat 49 00:02:49,405 --> 00:02:51,105 {\an1}that is two years old or 15, 50 00:02:51,138 --> 00:02:52,305 or 20 years old, 51 00:02:52,338 --> 00:02:54,771 {\an1}you don't see any difference. 52 00:02:54,805 --> 00:02:57,505 GARY MCCRACKEN: For the body size of these animals, 53 00:02:57,538 --> 00:03:00,305 {\an1}they are way off scale in terms of their longevity. 54 00:03:00,338 --> 00:03:03,238 TEELING: Bats hold the cure. 55 00:03:03,271 --> 00:03:05,305 {\an1}They hold our treatment. 56 00:03:06,738 --> 00:03:09,871 NARRATOR: Science is beginning to decipher their strange powers. 57 00:03:11,405 --> 00:03:14,305 {\an1}Could these much-maligned creatures hold precious secrets 58 00:03:14,338 --> 00:03:16,105 {\an1}for our own health? 59 00:03:16,138 --> 00:03:18,505 (bats squeaking) 60 00:03:18,538 --> 00:03:20,571 {\an1}"Bat Superpowers." 61 00:03:20,605 --> 00:03:23,871 {\an1}Right now, on "NOVA." 62 00:03:23,905 --> 00:03:28,805 ♪ ♪ 63 00:03:46,038 --> 00:03:52,038 ♪ ♪ 64 00:03:52,071 --> 00:03:54,471 {\an8}NARRATOR: Many experts believe that the coronavirus 65 00:03:54,505 --> 00:03:57,338 {\an7}that tore through the world's population in 2020 66 00:03:57,371 --> 00:03:59,771 {\an8}came from a bat. 67 00:04:02,438 --> 00:04:05,238 {\an1}Virologist Supaporn Wacharapluesadee 68 00:04:05,271 --> 00:04:07,138 {\an1}is world-renowned for her ability 69 00:04:07,171 --> 00:04:10,971 {\an1}to track viruses in the wild. 70 00:04:12,371 --> 00:04:15,838 {\an1}Today, her team has come to test the giant colony 71 00:04:15,871 --> 00:04:18,971 {\an1}at Khao Chong Phran. 72 00:04:19,005 --> 00:04:21,314 {\an1}WACHARAPLUESADEE (translated): There are bats in the caves, and we put this on 73 00:04:21,338 --> 00:04:23,538 {\an7}to be safe while we work. 74 00:04:25,971 --> 00:04:28,171 {\an1}It doesn't mean that there are deadly viruses in there, 75 00:04:28,205 --> 00:04:30,205 {\an1}but we need to protect ourselves 76 00:04:30,238 --> 00:04:32,905 {\an1}to do our work safely. 77 00:04:34,971 --> 00:04:37,771 NARRATOR: Once fully suited up, the scientists descend 78 00:04:37,805 --> 00:04:40,371 {\an1}deep into the cave. 79 00:04:40,405 --> 00:04:42,971 {\an1}Under the gaze of the Buddha statues, the team installs 80 00:04:43,005 --> 00:04:44,238 {\an1}a net in the large chamber 81 00:04:44,271 --> 00:04:45,805 {\an1}that local monks share year-round 82 00:04:45,838 --> 00:04:48,571 {\an1}with its native residents. 83 00:04:52,171 --> 00:04:56,838 {\an1}WACHARAPLUESADEE (translated): We have been doing research work here for more than ten years. 84 00:04:56,871 --> 00:04:59,338 {\an1}Now, for safety reasons, we have come back to test 85 00:04:59,371 --> 00:05:01,471 {\an1}if there is coronavirus, 86 00:05:01,505 --> 00:05:04,705 {\an1}which could be dangerous for the people in the area. 87 00:05:06,605 --> 00:05:09,071 {\an8}NARRATOR: A second team waits at the exit 88 00:05:09,105 --> 00:05:12,171 {\an7}of the cave to catch bats flying outside. 89 00:05:14,171 --> 00:05:17,938 {\an7}Tonight, about 70 bats will miss their nighttime excursion. 90 00:05:20,205 --> 00:05:25,405 {\an8}♪ ♪ 91 00:05:33,138 --> 00:05:37,838 {\an7}Instead, they will spend a few hours in a makeshift lab 92 00:05:37,871 --> 00:05:40,905 {\an1}set up at the base of the hill. 93 00:05:40,938 --> 00:05:43,538 {\an1}Each bat is given a careful medical checkup. 94 00:05:43,571 --> 00:05:46,538 {\an1}Trying to limit stress to the animal, 95 00:05:46,571 --> 00:05:48,938 {\an1}scientists take multiple samples from the skin, 96 00:05:48,971 --> 00:05:52,238 the mouth, and even the intestines... 97 00:05:52,271 --> 00:05:56,405 {\an1}all organs that are susceptible to containing viruses, 98 00:05:56,438 --> 00:05:58,805 {\an1}known or unknown. 99 00:06:03,238 --> 00:06:08,238 {\an1}WACHARAPLUESADEE (translated): We have discovered hundreds of viruses in bats. 100 00:06:08,271 --> 00:06:11,671 {\an1}Actually, there are more than 60 viruses in bats 101 00:06:11,705 --> 00:06:15,371 {\an1}that could eventually be transmitted to human beings. 102 00:06:15,405 --> 00:06:17,271 NARRATOR: In addition to being 103 00:06:17,305 --> 00:06:20,605 {\an1}a key transmitter of the deadly rabies virus, 104 00:06:20,638 --> 00:06:22,271 {\an1}bats are suspected sources 105 00:06:22,305 --> 00:06:25,705 {\an1}for numerous viral outbreaks around the world: 106 00:06:25,738 --> 00:06:29,905 {\an1}the 1967 Marburg virus in Europe; 107 00:06:29,938 --> 00:06:33,338 {\an1}two waves of Ebola in Africa; 108 00:06:33,371 --> 00:06:35,271 {\an1}the Hendra virus in Australia; 109 00:06:35,305 --> 00:06:37,805 {\an1}the Nipah virus in Malaysia. 110 00:06:37,838 --> 00:06:40,505 {\an1}Then a series of coronavirus outbreaks: 111 00:06:40,538 --> 00:06:42,571 {\an1}SARS, that started in China; 112 00:06:42,605 --> 00:06:45,171 {\an1}MERS in the Arabian Peninsula; 113 00:06:45,205 --> 00:06:47,171 {\an1}and now the COVID-19 pandemic 114 00:06:47,205 --> 00:06:50,805 {\an1}that engulfed the planet in just a few months. 115 00:06:50,838 --> 00:06:51,905 {\an1}For some scientists, 116 00:06:51,938 --> 00:06:54,138 {\an1}it is a trend that will no doubt continue 117 00:06:54,171 --> 00:06:56,305 {\an1}as human beings encroach 118 00:06:56,338 --> 00:06:59,705 {\an1}more and more on the bat's natural habitat. 119 00:06:59,738 --> 00:07:01,705 {\an1}Supaporn is hoping to discover 120 00:07:01,738 --> 00:07:04,738 {\an1}why viruses circulate so well within bat colonies 121 00:07:04,771 --> 00:07:06,405 {\an1}and how they might transmit them 122 00:07:06,438 --> 00:07:08,638 {\an1}to other animal species 123 00:07:08,671 --> 00:07:10,605 that in turn could pass them on to humans. 124 00:07:10,638 --> 00:07:14,105 {\an1}But above all, she wants to know why this animal, 125 00:07:14,138 --> 00:07:16,371 infected by so many dangerous viruses, 126 00:07:16,405 --> 00:07:21,405 {\an1}seems totally impervious to their effects. 127 00:07:21,438 --> 00:07:23,814 {\an1}WACHARAPLUESADEE (translated): As far as I know from the research work 128 00:07:23,838 --> 00:07:26,738 overseas and my research work here, 129 00:07:26,771 --> 00:07:29,338 {\an1}bats with viruses aren't getting sick. 130 00:07:29,371 --> 00:07:32,871 {\an1}The bat aren't getting sick while the viruses still 131 00:07:32,905 --> 00:07:35,038 {\an1}live within them. 132 00:07:37,371 --> 00:07:42,338 ♪ ♪ 133 00:07:42,371 --> 00:07:47,638 {\an7}Because of the whole world is so desperately trying 134 00:07:47,671 --> 00:07:50,205 {\an7}to deal with, with COVID-19 and its horrible effects, 135 00:07:50,238 --> 00:07:51,705 {\an8}bats have come into the limelight, 136 00:07:51,738 --> 00:07:53,438 and they've come into the limelight 137 00:07:53,471 --> 00:07:56,538 {\an1}as potential reservoirs for many, many viruses. 138 00:07:56,571 --> 00:07:59,538 {\an1}And the question is, why? 139 00:07:59,571 --> 00:08:01,038 Why can they... 140 00:08:01,071 --> 00:08:02,571 {\an1}Are bats really special? 141 00:08:02,605 --> 00:08:04,771 {\an1}Is there something unique about bats' biology, 142 00:08:04,805 --> 00:08:06,538 {\an1}their physiology, the genetics, 143 00:08:06,571 --> 00:08:08,971 that allows them to tolerate these viruses? 144 00:08:09,005 --> 00:08:10,138 {\an1}What's the reason? 145 00:08:11,838 --> 00:08:13,305 NARRATOR: Will studying bats allow us 146 00:08:13,338 --> 00:08:16,338 {\an1}to avoid the next deadly virus outbreak? 147 00:08:16,371 --> 00:08:18,971 {\an1}Could their disease-defying biology 148 00:08:19,005 --> 00:08:22,505 {\an1}help us to live longer and in better health? 149 00:08:22,538 --> 00:08:25,238 {\an1}Laboratories around the world are mobilizing 150 00:08:25,271 --> 00:08:27,571 {\an1}to find the answers. 151 00:08:27,605 --> 00:08:30,871 {\an1}Because just how this stealthy, nocturnal animal functions 152 00:08:30,905 --> 00:08:33,971 {\an1}remains largely a mystery. 153 00:08:36,571 --> 00:08:41,438 ♪ ♪ 154 00:08:44,271 --> 00:08:47,938 {\an1}New Yorkers may not realize that one of the most unique 155 00:08:47,971 --> 00:08:51,271 {\an1}biological banks in the world is just next door: 156 00:08:51,305 --> 00:08:55,405 {\an1}a huge collection of bat organs and tissues, stored at 157 00:08:55,438 --> 00:08:58,605 {\an1}Stony Brook University. 158 00:08:58,638 --> 00:09:02,271 {\an1}A veritable treasure trove for scientists like Liliana Dávalos. 159 00:09:02,305 --> 00:09:08,071 ♪ ♪ 160 00:09:08,105 --> 00:09:11,405 DÁVALOS: It's a piece of brain from Belize. 161 00:09:11,438 --> 00:09:13,005 This is, um, 162 00:09:13,038 --> 00:09:17,005 {\an1}liver, liver sample, and it's from Colombia. 163 00:09:17,038 --> 00:09:19,938 {\an1}This is from our last expedition. 164 00:09:19,971 --> 00:09:22,738 {\an1}Our collection has 165 00:09:22,771 --> 00:09:24,738 {\an1}everything from the 166 00:09:24,771 --> 00:09:28,171 {\an7}top of the head, the brain, the nose, the eyes, 167 00:09:28,205 --> 00:09:30,205 {\an1}and every organ in the body. 168 00:09:30,238 --> 00:09:32,905 ♪ ♪ 169 00:09:32,938 --> 00:09:34,005 NARRATOR: Mummified bats, 170 00:09:34,038 --> 00:09:36,971 cabinets stuffed with body parts... 171 00:09:37,005 --> 00:09:38,581 {\an1}the Dávalos Lab might feel like something 172 00:09:38,605 --> 00:09:41,238 {\an1}out of a Frankenstein film. 173 00:09:41,271 --> 00:09:44,605 {\an1}(electricity buzzing, machine roaring) 174 00:09:46,605 --> 00:09:48,805 Not to worry... It's not what you think. 175 00:09:48,838 --> 00:09:51,605 And Liliana, rather than being frightened 176 00:09:51,638 --> 00:09:56,138 {\an1}or repelled by bats, is in fact one of their biggest fans. 177 00:09:59,105 --> 00:10:01,938 DÁVALOS: What have we got here? 178 00:10:03,605 --> 00:10:06,271 {\an1}Oh, this is so amazing. 179 00:10:06,305 --> 00:10:10,171 {\an1}This is a horseshoe bat. 180 00:10:10,205 --> 00:10:12,971 {\an1}This collection happened in 1934, 181 00:10:13,005 --> 00:10:16,238 December 27. 182 00:10:16,271 --> 00:10:17,738 {\an1}Somebody was out there, 183 00:10:17,771 --> 00:10:21,738 {\an1}in Chengdu, in China, catching bats. 184 00:10:21,771 --> 00:10:25,638 {\an7}This is the horseshoe down here, you see it? 185 00:10:25,671 --> 00:10:29,238 {\an8}NARRATOR: The horseshoe bat is widespread throughout Asia 186 00:10:29,271 --> 00:10:33,271 {\an1}and suspected to be at the origin of SARS-CoV-2, 187 00:10:33,305 --> 00:10:36,938 {\an1}the virus that causes COVID-19. 188 00:10:38,705 --> 00:10:40,638 {\an1}With this specimen, 189 00:10:40,671 --> 00:10:44,371 {\an1}Liliana will be able to study just how bats become infected. 190 00:10:44,405 --> 00:10:46,738 Since COVID is a respiratory disease, 191 00:10:46,771 --> 00:10:48,438 {\an1}the team concentrates their efforts 192 00:10:48,471 --> 00:10:50,771 {\an7}on the animal's respiratory tract, 193 00:10:50,805 --> 00:10:53,171 {\an7}especially its nose and nasal cavities. 194 00:10:53,205 --> 00:10:55,138 {\an8}♪ ♪ 195 00:10:55,171 --> 00:10:59,305 {\an1}Could it be that the inside of this strange-looking nose 196 00:10:59,338 --> 00:11:02,938 {\an1}contains the key to how bat viruses also infect humans? 197 00:11:06,238 --> 00:11:07,571 {\an7}Thanks to Laurel Yohe, 198 00:11:07,605 --> 00:11:09,971 {\an7}a researcher at nearby Yale University, 199 00:11:10,005 --> 00:11:11,838 {\an1}the team has access to a 3D scanner. 200 00:11:11,871 --> 00:11:15,338 {\an1}It's the first time ever this technique will be used 201 00:11:15,371 --> 00:11:17,605 {\an1}to study the inside of a bat. 202 00:11:17,638 --> 00:11:19,838 (typing) 203 00:11:19,871 --> 00:11:22,038 {\an4}(scanner beeping) YOHE: Here are the teeth. 204 00:11:22,071 --> 00:11:24,371 {\an7}You can see the neurons in the teeth. 205 00:11:24,405 --> 00:11:28,171 {\an7}As we move through, here is the tongue. 206 00:11:28,205 --> 00:11:30,505 {\an7}Here is the nasal cavity. 207 00:11:30,538 --> 00:11:34,738 NARRATOR: The horseshoe bat's nose is of particular interest 208 00:11:34,771 --> 00:11:37,238 {\an1}to Liliana and her spouse and research partner, 209 00:11:37,271 --> 00:11:39,238 {\an1}Angelique Corthals. 210 00:11:39,271 --> 00:11:40,347 {\an1}An expert in human biology, 211 00:11:40,371 --> 00:11:43,138 {\an1}Angelique studied the respiratory tracts 212 00:11:43,171 --> 00:11:47,938 of COVID victims at the height of the pandemic. 213 00:11:47,971 --> 00:11:49,871 {\an1}The bat is very similar to humans, 214 00:11:49,905 --> 00:11:54,571 {\an1}because you can see actually the same structure of the nose. 215 00:11:54,605 --> 00:11:57,138 CORTHALS: Bats that are known to harbor 216 00:11:57,171 --> 00:12:00,438 {\an1}the closest relative to SARS-CoV-2 217 00:12:00,471 --> 00:12:02,671 {\an7}have a nasal cavity 218 00:12:02,705 --> 00:12:04,071 {\an8}that is to, 219 00:12:04,105 --> 00:12:08,171 {\an7}that is actually closely resembling that of human, 220 00:12:08,205 --> 00:12:10,571 {\an1}which is very likely 221 00:12:10,605 --> 00:12:14,671 {\an1}part of the reason why we can be infected 222 00:12:14,705 --> 00:12:19,505 {\an1}so quickly with SARS-CoV-2, because all of a sudden, 223 00:12:19,538 --> 00:12:23,738 {\an1}it's not completely strange territory for coronavirus 224 00:12:23,771 --> 00:12:27,505 {\an1}to enter the nasal cavity of a human. 225 00:12:27,538 --> 00:12:30,905 NARRATOR: But once it has arrived in the nose of a bat or a human, 226 00:12:30,938 --> 00:12:35,205 {\an1}how does the virus infect the rest of the body? 227 00:12:35,238 --> 00:12:37,371 {\an1}Liliana and Angelique focus their research 228 00:12:37,405 --> 00:12:41,205 on the cells that line the nasal cavity. 229 00:12:44,405 --> 00:12:48,971 {\an8}CORTHALS: You see those hollow points in this layer? 230 00:12:49,005 --> 00:12:51,138 {\an7}Those are not holes, they are cells... 231 00:12:51,171 --> 00:12:53,638 {\an8}they are called the goblet cells, 232 00:12:53,671 --> 00:12:55,405 {\an7}which are mucus-producing cells. 233 00:12:55,438 --> 00:12:57,605 {\an1}They are the first barrier 234 00:12:57,638 --> 00:13:00,338 {\an1}against pathogens, against allergens, 235 00:13:00,371 --> 00:13:02,205 against any kind of foreign bodies 236 00:13:02,238 --> 00:13:03,971 {\an1}that enters through the nose. 237 00:13:04,005 --> 00:13:07,638 NARRATOR: Mucus produced by goblet cells 238 00:13:07,671 --> 00:13:11,205 {\an1}usually traps viruses before they can enter the body. 239 00:13:11,238 --> 00:13:15,538 {\an1}But when it comes to COVID-19, goblet cells have a weakness: 240 00:13:15,571 --> 00:13:19,671 {\an1}they are covered by a receptor that the coronavirus recognizes. 241 00:13:19,705 --> 00:13:23,605 {\an1}Like a key entering a lock, the virus attaches to the receptor, 242 00:13:23,638 --> 00:13:25,671 opens a passage, 243 00:13:25,705 --> 00:13:27,371 and injects its genetic material. 244 00:13:27,405 --> 00:13:29,138 {\an1}The cell then starts manufacturing the virus 245 00:13:29,171 --> 00:13:32,438 {\an1}by the hundreds, starting a chain reaction that can spread 246 00:13:32,471 --> 00:13:36,538 {\an1}throughout the whole organism. 247 00:13:38,305 --> 00:13:40,538 {\an1}The coronavirus can enter both bats 248 00:13:40,571 --> 00:13:43,171 {\an1}and humans in the same way, 249 00:13:43,205 --> 00:13:44,771 {\an1}through these goblet cells. 250 00:13:44,805 --> 00:13:47,538 {\an1}So how come humans can become so sick, 251 00:13:47,571 --> 00:13:49,471 {\an1}while bats don't? 252 00:13:49,505 --> 00:13:52,238 ♪ ♪ 253 00:13:52,271 --> 00:13:54,471 DÁVALOS: Our scientific understanding so far 254 00:13:54,505 --> 00:13:56,905 {\an1}is that the viral loads are fairly low, 255 00:13:56,938 --> 00:14:00,271 {\an1}meaning that these infections are circulating, 256 00:14:00,305 --> 00:14:02,538 {\an1}but they do not have the same consequences 257 00:14:02,571 --> 00:14:04,405 {\an1}in the bats that they have in people. 258 00:14:04,438 --> 00:14:06,405 {\an1}We don't understand yet fully why. 259 00:14:06,438 --> 00:14:07,905 ♪ ♪ 260 00:14:07,938 --> 00:14:11,605 NARRATOR: Somehow, the virus is able to enter bats' noses 261 00:14:11,638 --> 00:14:17,038 {\an1}the same way it does in humans, but the similarities end there. 262 00:14:17,071 --> 00:14:22,771 {\an1}In bats, the virus is present, but at a consistently low level. 263 00:14:22,805 --> 00:14:27,471 The question is: how are bats keeping the virus 264 00:14:27,505 --> 00:14:31,771 under control once it has entered? 265 00:14:36,771 --> 00:14:38,838 {\an1}That's what scientists in Singapore 266 00:14:38,871 --> 00:14:42,571 {\an1}are trying to find out at the Duke-N.U.S. Medical School, 267 00:14:42,605 --> 00:14:47,238 {\an1}where the bats' immune system has come under the microscope. 268 00:14:52,138 --> 00:14:56,905 {\an7}Professor Linfa Wang, known to colleagues as "Batman," 269 00:14:56,938 --> 00:15:02,071 {\an7}thinks he has found the secret to bats' super-immunity. 270 00:15:02,105 --> 00:15:03,738 {\an8}WANG: My students, when they first 271 00:15:03,771 --> 00:15:05,171 {\an7}work in my lab, they got it wrong. 272 00:15:05,205 --> 00:15:07,005 {\an7}They say bats has a more efficient 273 00:15:07,038 --> 00:15:08,771 {\an7}immune system to clear the virus. 274 00:15:08,805 --> 00:15:12,571 {\an7}I say. "No, bats have a more efficient immune system 275 00:15:12,605 --> 00:15:13,671 {\an7}not to develop disease." 276 00:15:13,705 --> 00:15:15,905 {\an7}They are more efficient, really, 277 00:15:15,938 --> 00:15:17,671 {\an7}to control the virus. 278 00:15:17,705 --> 00:15:19,665 {\an7}Otherwise, they will not be good reservoir, right? 279 00:15:21,138 --> 00:15:23,271 NARRATOR: Matae Ahn wrote his thesis under 280 00:15:23,305 --> 00:15:25,005 {\an1}Linfa Wang's direction. 281 00:15:25,038 --> 00:15:27,038 {\an1}When he joined the team in 2014, 282 00:15:27,071 --> 00:15:32,405 {\an1}the lab did not yet have a living bat colony to work with. 283 00:15:32,438 --> 00:15:34,205 {\an8}AHN: In the past, we had to 284 00:15:34,238 --> 00:15:37,071 {\an7}fly over to Australia to get all sample 285 00:15:37,105 --> 00:15:38,805 {\an7}for our studies, and now, 286 00:15:38,838 --> 00:15:41,038 {\an7}we have a local bat colony, right here. 287 00:15:41,071 --> 00:15:44,538 {\an7}And this allows us to get the fresh sample easily 288 00:15:44,571 --> 00:15:46,871 {\an7}and study bats really closely. 289 00:15:49,371 --> 00:15:52,338 NARRATOR: The cave nectar bat has a fox-like head 290 00:15:52,371 --> 00:15:55,505 {\an1}and lives principally in Southeast Asia. 291 00:15:55,538 --> 00:15:59,871 {\an1}In the wild, these bats are carriers of many viruses, 292 00:15:59,905 --> 00:16:01,205 {\an1}but don't get sick. 293 00:16:01,238 --> 00:16:03,905 {\an1}But in the lab, conditions are strictly controlled 294 00:16:03,938 --> 00:16:07,338 and the animals remain uncontaminated. 295 00:16:07,371 --> 00:16:09,905 {\an8}AHN: We are using the fresh bat samples 296 00:16:09,938 --> 00:16:12,838 {\an7}to analyze their contents in details, 297 00:16:12,871 --> 00:16:15,271 {\an7}starting from genes, mRNA, 298 00:16:15,305 --> 00:16:18,138 {\an7}protein, cells, to even tissues. 299 00:16:18,171 --> 00:16:19,771 {\an7}And all of these component can be 300 00:16:19,805 --> 00:16:21,471 {\an7}used and utilized to study bats 301 00:16:21,505 --> 00:16:24,405 {\an7}and their immune system. 302 00:16:24,438 --> 00:16:28,471 ♪ ♪ 303 00:16:28,505 --> 00:16:31,638 NARRATOR: Matae's experiment concentrates on 304 00:16:31,671 --> 00:16:34,305 {\an1}proteins involved in the immune response, 305 00:16:34,338 --> 00:16:39,338 {\an1}and on one molecule in particular: interferon alpha. 306 00:16:40,738 --> 00:16:42,738 {\an8}AHN: To be simple, interferon alpha 307 00:16:42,771 --> 00:16:47,171 {\an7}is a key molecule that alerts the body to the intruder. 308 00:16:47,205 --> 00:16:50,671 {\an7}It tells the surrounding cells that an infection is occurring. 309 00:16:52,138 --> 00:16:54,805 NARRATOR: When a cell detects a virus, 310 00:16:54,838 --> 00:16:57,505 {\an1}it unleashes a barrage of interferon molecules 311 00:16:57,538 --> 00:16:59,538 {\an1}which spread through the body, 312 00:16:59,571 --> 00:17:02,038 {\an1}spurring immune cells into action. 313 00:17:02,071 --> 00:17:04,138 Which, in turn, wipe out the intruding pathogens 314 00:17:04,171 --> 00:17:07,238 {\an1}and get rid of the cells already infected. 315 00:17:09,338 --> 00:17:11,605 {\an8}AHN: So we want to examine and compare 316 00:17:11,638 --> 00:17:13,505 {\an7}the level of interferon production 317 00:17:13,538 --> 00:17:15,705 {\an7}between human and bat cells 318 00:17:15,738 --> 00:17:18,738 {\an7}before any infection actually occurs. 319 00:17:18,771 --> 00:17:20,771 {\an8}(whirring) 320 00:17:24,038 --> 00:17:26,305 {\an8}(device beeps) So look, look at this curve. 321 00:17:26,338 --> 00:17:29,705 {\an7}This curve is a human sample, it's flat. 322 00:17:29,738 --> 00:17:31,471 {\an7}It means that interferon alpha 323 00:17:31,505 --> 00:17:33,005 {\an7}is almost undetectable. 324 00:17:33,038 --> 00:17:35,338 {\an8}In contrast, in our bat sample, 325 00:17:35,371 --> 00:17:37,671 {\an8}we have a lot of interferon alpha detected, 326 00:17:37,705 --> 00:17:41,438 {\an7}even though there is no infection occurring right there. 327 00:17:42,738 --> 00:17:45,505 NARRATOR: In other words, bats have adopted 328 00:17:45,538 --> 00:17:48,271 {\an1}a proactive strategy of defense. 329 00:17:48,305 --> 00:17:50,638 (whirring) 330 00:17:50,671 --> 00:17:53,138 {\an1}Thanks to interferon being permanently present, 331 00:17:53,171 --> 00:17:55,338 {\an1}when a virus penetrates the bat's body, 332 00:17:55,371 --> 00:17:58,138 {\an1}their immune system is already active. 333 00:17:58,171 --> 00:18:01,305 {\an1}But in humans, that reaction is much slower. 334 00:18:01,338 --> 00:18:03,871 {\an7}While our body's immune system is ramping up 335 00:18:03,905 --> 00:18:07,105 {\an7}to produce interferon, the virus can be spreading. 336 00:18:07,138 --> 00:18:10,705 {\an7}The risk of getting sick is therefore much greater in us 337 00:18:10,738 --> 00:18:14,671 {\an7}than in bats, where the virus remains under tighter control. 338 00:18:14,705 --> 00:18:16,347 {\an8}WANG: Human, for example, our defense system 339 00:18:16,371 --> 00:18:19,071 {\an8}is switched off most of the time, 340 00:18:19,105 --> 00:18:22,871 {\an7}until we see enemies, and then we switch on. 341 00:18:22,905 --> 00:18:28,638 NARRATOR: Unlike us, the bats' defenses are always on high alert. 342 00:18:28,671 --> 00:18:31,505 {\an1}Their immune system can prevent damaging infection 343 00:18:31,538 --> 00:18:33,771 {\an1}while letting some virus hang around. 344 00:18:33,805 --> 00:18:35,305 {\an1}That's good news for the bat, 345 00:18:35,338 --> 00:18:38,138 {\an1}but it might be really bad news for humans. 346 00:18:38,171 --> 00:18:39,671 {\an8}WANG: One theory is that 347 00:18:39,705 --> 00:18:42,438 {\an7}if the virus live inside a bat body, 348 00:18:42,471 --> 00:18:45,271 {\an7}you know, you already have elevated defense systems. 349 00:18:45,305 --> 00:18:48,105 {\an7}So when they jump to a different host, like human, 350 00:18:48,138 --> 00:18:51,338 {\an7}and that's, it's, like, you know, free playground for them 351 00:18:51,371 --> 00:18:54,038 {\an7}and they just go and rampage in us. 352 00:18:54,071 --> 00:18:56,805 {\an7}So very efficient. 353 00:18:56,838 --> 00:18:58,414 NARRATOR: A virus that battles for survival 354 00:18:58,438 --> 00:19:01,171 inside a bat's super-immune system 355 00:19:01,205 --> 00:19:03,838 {\an1}becomes a formidable enemy. 356 00:19:03,871 --> 00:19:06,938 {\an1}When it jumps to a less defended species, like a human, 357 00:19:06,971 --> 00:19:09,171 {\an1}it's much more dangerous. 358 00:19:09,205 --> 00:19:10,838 {\an1}But why did bats develop 359 00:19:10,871 --> 00:19:13,838 {\an1}such a highly functioning immune system? 360 00:19:13,871 --> 00:19:17,838 {\an1}Why did nature bestow bats with this superpower 361 00:19:17,871 --> 00:19:20,905 {\an1}while our own defense system has proven so weak 362 00:19:20,938 --> 00:19:23,505 in the face of multiple epidemics? 363 00:19:23,538 --> 00:19:27,571 ♪ ♪ 364 00:19:36,871 --> 00:19:41,871 {\an1}It's a question that zoologist and geneticist Emma Teeling 365 00:19:41,905 --> 00:19:45,505 {\an1}has spent decades researching. 366 00:19:47,638 --> 00:19:50,871 {\an1}Nearby her lab at University College Dublin, 367 00:19:50,905 --> 00:19:53,171 {\an1}Emma takes advantage of the last 368 00:19:53,205 --> 00:19:56,071 {\an1}few days of fall to visit a local colony 369 00:19:56,105 --> 00:19:59,538 {\an1}before the bats start their winter hibernation. 370 00:19:59,571 --> 00:20:05,005 ♪ ♪ 371 00:20:05,038 --> 00:20:06,871 TEELING: Some people don't actually like them, 372 00:20:06,905 --> 00:20:09,205 {\an1}and the question is why? 373 00:20:09,238 --> 00:20:11,971 {\an1}As primates, we primarily 374 00:20:12,005 --> 00:20:13,871 {\an1}get the information from our environment 375 00:20:13,905 --> 00:20:15,305 {\an1}through our eyes. 376 00:20:15,338 --> 00:20:17,038 At night, we're a bit frightened... 377 00:20:17,071 --> 00:20:18,705 {\an1}we can't really see them. 378 00:20:18,738 --> 00:20:19,881 {\an1}People think, "Oh, they're gonna get 379 00:20:19,905 --> 00:20:22,105 {\an1}caught in your hair"... They, they don't. 380 00:20:22,138 --> 00:20:23,738 {\an1}What they do is, they're flying, 381 00:20:23,771 --> 00:20:27,738 {\an1}feeding on insects that are trying to bite you. 382 00:20:27,771 --> 00:20:32,738 ♪ ♪ 383 00:20:32,771 --> 00:20:34,638 {\an7}(animal clicking) 384 00:20:34,671 --> 00:20:36,971 {\an7}There you go, there's a bat. 385 00:20:37,005 --> 00:20:39,505 {\an7}More than likely, it's a, it's a... 386 00:20:39,538 --> 00:20:41,638 {\an1}Oh, hello, you beauty. 387 00:20:41,671 --> 00:20:45,005 {\an1}More than likely, this is a soprano pipistrelle. 388 00:20:45,038 --> 00:20:46,738 {\an1}Because you can hear, its peak frequency 389 00:20:46,771 --> 00:20:47,938 {\an1}is about 45 kilohertz. 390 00:20:47,971 --> 00:20:50,138 {\an1}Do you see that little bat fly across? 391 00:20:50,171 --> 00:20:52,905 {\an1}This bat detector is picking up the sound 392 00:20:52,938 --> 00:20:55,305 {\an1}that's been emitted from the bat's mouth. 393 00:20:55,338 --> 00:20:57,971 {\an1}And what's happening is, the bat emits its call 394 00:20:58,005 --> 00:20:59,571 {\an1}and it listens to the echoes, 395 00:20:59,605 --> 00:21:03,171 {\an1}and it uses this to be able to orient in complete darkness. 396 00:21:03,205 --> 00:21:04,905 {\an1}I have a head torch on right now. 397 00:21:04,938 --> 00:21:08,305 {\an1}Right now, this is dusk... You can't see anything, 398 00:21:08,338 --> 00:21:10,505 {\an1}but the bats have woken up and they are flying around, 399 00:21:10,538 --> 00:21:11,605 {\an1}feeding on the insects, 400 00:21:11,638 --> 00:21:14,071 {\an1}and are more than likely flying up and down 401 00:21:14,105 --> 00:21:16,238 {\an1}this small stream here. 402 00:21:16,271 --> 00:21:17,414 (bird squawks, bats clicking) 403 00:21:17,438 --> 00:21:18,538 Hear? 404 00:21:18,571 --> 00:21:21,238 {\an1}Bang-bang-bang-bang-bang? 405 00:21:21,271 --> 00:21:26,138 (bats clicking) 406 00:21:26,171 --> 00:21:28,438 NARRATOR: Aided by their unique capabilities, 407 00:21:28,471 --> 00:21:32,638 {\an1}bats thrive on every continent except Antarctica. 408 00:21:32,671 --> 00:21:35,905 It's a story of extraordinary adaptation, 409 00:21:35,938 --> 00:21:37,638 {\an1}the secrets of which are inscribed 410 00:21:37,671 --> 00:21:40,405 in their DNA. 411 00:21:43,705 --> 00:21:47,505 {\an1}A wing flap away is Emma's center of operations, 412 00:21:47,538 --> 00:21:51,105 {\an1}a laboratory of mammalian molecular evolution. 413 00:21:51,138 --> 00:21:52,771 {\an1}Equipped with the latest tech, 414 00:21:52,805 --> 00:21:55,771 {\an1}it's affectionately called the Batlab. 415 00:21:55,805 --> 00:21:58,671 {\an1}Here, Emma co-pilots 416 00:21:58,705 --> 00:22:01,871 {\an1}one of the largest studies of bats in the world. 417 00:22:01,905 --> 00:22:03,705 {\an1}The project Bat1K 418 00:22:03,738 --> 00:22:06,405 {\an1}connects over a hundred scientists around the globe 419 00:22:06,438 --> 00:22:07,871 {\an1}in a joint effort 420 00:22:07,905 --> 00:22:10,371 {\an1}to sequence the genomes of the approximately 421 00:22:10,405 --> 00:22:12,705 {\an1}1,400 bat species. 422 00:22:12,738 --> 00:22:14,271 TEELING: We wanted to sequence 423 00:22:14,305 --> 00:22:17,805 {\an1}the entire DNA code that's in every single cell 424 00:22:17,838 --> 00:22:19,638 {\an1}of a particular species, 425 00:22:19,671 --> 00:22:23,205 {\an1}but we wanted to do it to the quality of the genomes 426 00:22:23,238 --> 00:22:27,738 {\an1}that we have for humans or mice, so that we could now use this 427 00:22:27,771 --> 00:22:31,605 {\an1}to investigate the likes of, what have bats evolved 428 00:22:31,638 --> 00:22:35,438 {\an1}to allow them live with coronaviruses and not die? 429 00:22:35,471 --> 00:22:38,005 ♪ ♪ 430 00:22:38,038 --> 00:22:42,338 NARRATOR: Bat1K's approach is to compare the billions of letters 431 00:22:42,371 --> 00:22:46,138 {\an1}that make up bats' genetic code with the DNA of other mammals. 432 00:22:46,171 --> 00:22:48,905 {\an1}In theory, finding out what is different 433 00:22:48,938 --> 00:22:53,005 {\an1}will lead researchers to those parts of the bat genome 434 00:22:53,038 --> 00:22:55,671 responsible for its robust health. 435 00:22:55,705 --> 00:22:59,138 TEELING: Darwinian selection... did natural selection act 436 00:22:59,171 --> 00:23:00,971 {\an1}on a particular part of the genome in bats 437 00:23:01,005 --> 00:23:03,005 {\an1}that make it very different 438 00:23:03,038 --> 00:23:05,805 {\an1}at the same region in bats and everything else? 439 00:23:05,838 --> 00:23:08,338 {\an1}And this may indicate that this is the region 440 00:23:08,371 --> 00:23:10,471 that's driving their unique adaptations. 441 00:23:10,505 --> 00:23:13,471 ♪ ♪ 442 00:23:13,505 --> 00:23:18,505 NARRATOR: Bat1K has already fully decoded the genomes of six bat species: 443 00:23:18,538 --> 00:23:21,205 {\an1}the velvety free-tailed bat, 444 00:23:21,238 --> 00:23:23,271 {\an1}the greater horseshoe bat, 445 00:23:23,305 --> 00:23:25,105 {\an1}the Egyptian fruit bat, 446 00:23:25,138 --> 00:23:27,405 {\an1}the pale spear-nosed bat, 447 00:23:27,438 --> 00:23:29,638 {\an1}the greater mouse-eared bat, 448 00:23:29,671 --> 00:23:33,105 {\an1}and Kuhl's pipistrelle. 449 00:23:33,138 --> 00:23:36,238 {\an1}A meticulous comparison of their DNA 450 00:23:36,271 --> 00:23:38,138 {\an1}with that of land-based mammals 451 00:23:38,171 --> 00:23:42,271 {\an1}revealed something totally unexpected. 452 00:23:42,305 --> 00:23:44,538 {\an1}When the bat's ancestor developed wings 453 00:23:44,571 --> 00:23:48,838 {\an1}and evolved the ability to fly... At least 55 million years ago... 454 00:23:48,871 --> 00:23:52,538 {\an1}the genes controlling their immune system also evolved, 455 00:23:52,571 --> 00:23:54,838 {\an1}mutating significantly. 456 00:23:54,871 --> 00:23:57,138 {\an1}It's as if their evolution as flyers 457 00:23:57,171 --> 00:23:58,838 {\an1}somehow provoked or required 458 00:23:58,871 --> 00:24:03,338 {\an1}a similar evolution in their immune system. 459 00:24:03,371 --> 00:24:05,438 TEELING: They can fly. 460 00:24:05,471 --> 00:24:06,838 {\an1}They're able to tolerate all their, 461 00:24:06,871 --> 00:24:08,647 {\an1}these, these unique viruses... Is there a connection? 462 00:24:08,671 --> 00:24:10,105 {\an1}What's the connection? 463 00:24:10,138 --> 00:24:13,271 {\an1}And this is something I've been working on for a very long time. 464 00:24:13,305 --> 00:24:14,805 {\an1}I have written research grants. 465 00:24:14,838 --> 00:24:16,705 {\an1}I've gotten slammed, 466 00:24:16,738 --> 00:24:18,471 {\an1}I've gotten abuse left, right, and center. 467 00:24:18,505 --> 00:24:21,738 {\an1}It's caused such scientific controversy, and it still does. 468 00:24:21,771 --> 00:24:24,638 {\an1}So the idea is, evolving... 469 00:24:24,671 --> 00:24:27,338 {\an1}Could evolving a new form of locomotion 470 00:24:27,371 --> 00:24:31,505 {\an1}drive an immunological and a genetic response? 471 00:24:31,538 --> 00:24:32,605 {\an1}A physiological response? 472 00:24:32,638 --> 00:24:34,438 {\an1}So I'm going to argue that yes. 473 00:24:34,471 --> 00:24:38,738 NARRATOR: For Emma Teeling, bats' extraordinary resistance 474 00:24:38,771 --> 00:24:42,171 to viruses seems to have evolved hand-in-hand 475 00:24:42,205 --> 00:24:44,205 {\an1}with their other superpower: 476 00:24:44,238 --> 00:24:47,171 {\an1}their supreme prowess in the air. 477 00:24:47,205 --> 00:24:50,905 {\an1}But how could flight protect this tiny mammal from sickness? 478 00:24:50,938 --> 00:24:53,938 What is the link between the two? 479 00:24:55,805 --> 00:24:59,805 {\an1}As the only mammals known to have evolved true flight, 480 00:24:59,838 --> 00:25:02,771 {\an1}bats' flying technique is totally unique 481 00:25:02,805 --> 00:25:05,338 {\an1}in the animal kingdom. 482 00:25:05,371 --> 00:25:07,638 {\an1}Every year at the Frio Cave, 483 00:25:07,671 --> 00:25:10,771 {\an1}about 70 miles west of San Antonio, Texas, 484 00:25:10,805 --> 00:25:13,238 newborn bat pups will take to the skies 485 00:25:13,271 --> 00:25:15,471 {\an1}for the very first time. 486 00:25:15,505 --> 00:25:18,705 ♪ ♪ 487 00:25:18,738 --> 00:25:20,871 (chuckling) 488 00:25:20,905 --> 00:25:24,338 {\an1}Millions of female Mexican free-tailed bats migrate here 489 00:25:24,371 --> 00:25:27,438 {\an1}in the spring, and it's the perfect opportunity 490 00:25:27,471 --> 00:25:29,938 {\an1}for biologist Gary McCracken 491 00:25:29,971 --> 00:25:34,705 {\an1}to observe the animals in action. 492 00:25:34,738 --> 00:25:37,905 MCCRACKEN: This is the time of year when mothers are beginning 493 00:25:37,938 --> 00:25:39,605 {\an1}to give birth to their pups. 494 00:25:39,638 --> 00:25:41,838 {\an7}We can't go very deep into the cave 495 00:25:41,871 --> 00:25:44,005 {\an8}with everybody, lights or cameras, 496 00:25:44,038 --> 00:25:46,371 {\an7}because it's just too disruptive at this time of year 497 00:25:46,405 --> 00:25:51,205 {\an1}for, for the bats, so we're respectful for that, yeah. 498 00:25:51,238 --> 00:25:53,005 There you go! 499 00:25:54,871 --> 00:25:57,371 NARRATOR: Gary goes just inside the mouth of the cave 500 00:25:57,405 --> 00:26:00,671 {\an1}so he won't disturb the pups. 501 00:26:02,338 --> 00:26:05,205 MCCRACKEN: I well remember the first time 502 00:26:05,238 --> 00:26:08,805 {\an1}that I went into a Mexican free-tailed bat cave. 503 00:26:08,838 --> 00:26:11,505 {\an1}I thought I was on the surface of the moon. 504 00:26:11,538 --> 00:26:14,871 I mean, really, the dust covering the rocks, 505 00:26:14,905 --> 00:26:17,305 you, you walk and your footprints stay there, 506 00:26:17,338 --> 00:26:20,171 {\an1}and then they get reworked by the beetles. 507 00:26:20,205 --> 00:26:21,405 {\an1}The atmosphere is heavy 508 00:26:21,438 --> 00:26:23,905 {\an1}with simple compounds of carbon and nitrogen, 509 00:26:23,938 --> 00:26:26,371 {\an1}methane and ammonia. 510 00:26:26,405 --> 00:26:29,838 {\an1}I mean, it really does seem like you're on another planet. 511 00:26:31,171 --> 00:26:35,338 (bats squeaking) 512 00:26:35,371 --> 00:26:37,138 {\an1}When I first saw the babies, 513 00:26:37,171 --> 00:26:41,138 {\an1}the dense concentrations of babies, it was just amazing. 514 00:26:41,171 --> 00:26:43,771 Soon, you've got 4,000 to 5,000 babies 515 00:26:43,805 --> 00:26:45,338 {\an1}in an area of about a square meter... 516 00:26:45,371 --> 00:26:48,171 {\an1}4,000 to 5,000 babies. 517 00:26:48,205 --> 00:26:50,671 NARRATOR: After about a month clinging to the walls, 518 00:26:50,705 --> 00:26:55,605 {\an1}the young pups will attempt their very first flight. 519 00:26:55,638 --> 00:26:58,338 {\an1}The slightest error could be fatal. 520 00:26:58,371 --> 00:27:01,205 MCCRACKEN: It's really awesome to imagine 521 00:27:01,238 --> 00:27:03,738 {\an1}what it must be like to take that first flight. 522 00:27:03,771 --> 00:27:06,771 {\an1}Looking down below... (chuckling) 523 00:27:06,805 --> 00:27:08,838 {\an1}Thinking about, what happens if I don't make it? 524 00:27:08,871 --> 00:27:11,705 {\an1}And, and if you don't make it, you're not going to get back. 525 00:27:11,738 --> 00:27:12,747 You're going to, you're going to, 526 00:27:12,771 --> 00:27:14,438 {\an1}you're going to land in the guano 527 00:27:14,471 --> 00:27:17,638 {\an1}and, and be eaten by dermestid beetles. 528 00:27:17,671 --> 00:27:20,405 And, you know, the amazing thing is that 529 00:27:20,438 --> 00:27:23,405 {\an1}it seems that the vast majority of them do make it work. 530 00:27:24,638 --> 00:27:27,905 NARRATOR: Once mature, the Mexican free-tailed bat 531 00:27:27,938 --> 00:27:30,205 {\an1}develops into an extraordinarily powerful 532 00:27:30,238 --> 00:27:33,671 {\an1}flying machine, and it's their outstanding performance 533 00:27:33,705 --> 00:27:37,338 {\an1}in the air that Gary has come here to measure. 534 00:27:37,371 --> 00:27:43,071 {\an1}Helping him is local biologist Jared Holmes. 535 00:27:43,105 --> 00:27:44,447 HOLMES: Yesterday, they started flying 536 00:27:44,471 --> 00:27:46,938 {\an8}about 7:30. MCCRACKEN: Uh-huh, yeah. 537 00:27:46,971 --> 00:27:48,538 {\an8}So we'll be ready by 7:30, for sure. 538 00:27:48,571 --> 00:27:50,671 {\an4}Okay. Yeah, we'll have the plane ready to go. 539 00:27:50,705 --> 00:27:53,238 So I'll tell you when we're taking off, 540 00:27:53,271 --> 00:27:55,205 {\an1}and you get the bat ready 541 00:27:55,238 --> 00:27:58,171 {\an1}and stick the radio on it. Oh, all right! 542 00:27:58,205 --> 00:28:01,805 These bats weigh a half an ounce, 12 grams. 543 00:28:01,838 --> 00:28:06,871 {\an1}They are too small, too light with current technology 544 00:28:06,905 --> 00:28:09,305 {\an1}to carry GPS trackers. 545 00:28:09,338 --> 00:28:12,538 {\an1}But they can carry these little radios 546 00:28:12,571 --> 00:28:15,105 {\an1}that are basically location locators. 547 00:28:15,138 --> 00:28:17,305 {\an1}HOLMES: And we're still looking for a female bat 548 00:28:17,338 --> 00:28:20,505 {\an1}of, of average size... Average size. 549 00:28:20,538 --> 00:28:21,905 Not too pregnant. 550 00:28:21,938 --> 00:28:24,938 {\an4}Gotcha. And, uh, and obviously, good health. 551 00:28:24,971 --> 00:28:26,047 A nice plump one. Yup, yeah. 552 00:28:26,071 --> 00:28:27,971 Yeah, just a nice bat. Okay. 553 00:28:28,005 --> 00:28:31,371 ♪ ♪ 554 00:28:31,405 --> 00:28:34,805 NARRATOR: The next day, on the tarmac at Garner Field airport, 555 00:28:34,838 --> 00:28:36,138 {\an1}not far from Frio Cave, 556 00:28:36,171 --> 00:28:40,071 {\an1}Gary adjusts the settings of his radio telemetry receiver. 557 00:28:40,105 --> 00:28:44,071 {\an1}This device will use radio signals to follow the bat 558 00:28:44,105 --> 00:28:46,605 {\an1}that Jared is about to capture and equip 559 00:28:46,638 --> 00:28:47,771 {\an1}with the transmitter. 560 00:28:48,738 --> 00:28:50,538 {\an1}(plane door shuts) 561 00:28:50,571 --> 00:28:51,938 MCCRACKEN: With the airplane, 562 00:28:51,971 --> 00:28:57,105 {\an1}it is possible to triangulate the location of the bat. 563 00:28:57,138 --> 00:29:01,205 {\an1}And by carefully listening to the signal from the transmitter, 564 00:29:01,238 --> 00:29:05,471 {\an1}we're able to pinpoint the location with some precision. 565 00:29:05,505 --> 00:29:07,147 {\an5}(radio chirps) HOLMES: Gary, the flight has started. 566 00:29:07,171 --> 00:29:09,371 {\an1}Are you in the air? 567 00:29:09,405 --> 00:29:11,581 {\an1}MCCRACKEN (over radio): Jared, we're just taking off right now. 568 00:29:11,605 --> 00:29:13,871 {\an1}We should be there in 15 minutes. 569 00:29:13,905 --> 00:29:15,605 {\an1}HOLMES (over radio): Okay, roger that. 570 00:29:15,638 --> 00:29:17,505 {\an1}I'm gonna go ahead and try to catch a bat. 571 00:29:17,538 --> 00:29:20,538 {\an1}MCCRACKEN (over radio): Be sure to get a nice, young, fluffy-looking one. 572 00:29:20,571 --> 00:29:21,538 (radio chirps) 573 00:29:21,571 --> 00:29:28,105 ♪ ♪ 574 00:29:30,271 --> 00:29:33,071 {\an1}HOLMES (over radio): I got a couple in the net, one looks good. 575 00:29:33,105 --> 00:29:35,638 {\an1}I'm gonna go ahead and tag it, gonna get it released. 576 00:29:35,671 --> 00:29:36,638 Good deal. 577 00:29:36,671 --> 00:29:39,905 {\an1}This is working really well right now. 578 00:29:39,938 --> 00:29:41,471 {\an1}(laughs) 579 00:29:41,505 --> 00:29:43,938 ♪ ♪ 580 00:29:43,971 --> 00:29:46,847 {\an1}MCCRACKEN (over radio): Okay, Jared, we're coming in, we're approaching the zone, 581 00:29:46,871 --> 00:29:48,871 {\an1}we're approaching the zone. 582 00:29:48,905 --> 00:29:51,471 {\an7}I've got the signal. 583 00:29:51,505 --> 00:29:53,271 {\an7}We're right overhead. 584 00:29:53,305 --> 00:29:54,771 {\an8}(over radio): Okay, you can release! 585 00:29:54,805 --> 00:29:56,671 {\an8}(radio chirps) HOLMES: Releasing her now. 586 00:30:02,771 --> 00:30:05,838 {\an1}HOLMES (over radio): Gary, I see the plane, I hope the bat's coming with you. 587 00:30:05,871 --> 00:30:07,505 (radio chirps) 588 00:30:07,538 --> 00:30:10,238 MCCRACKEN: Okay... okay... 589 00:30:10,271 --> 00:30:12,871 {\an1}Okay, okay... got it! Got it, good. 590 00:30:12,905 --> 00:30:17,338 NARRATOR: When the bat flies just underneath the plane, 591 00:30:17,371 --> 00:30:20,105 {\an1}the radio signal gets stronger and the pursuit begins. 592 00:30:20,138 --> 00:30:23,038 {\an1}As soon as the bat veers off, the signal weakens, 593 00:30:23,071 --> 00:30:28,271 {\an1}allowing Gary to guide the pilot to stay on the bat's course. 594 00:30:28,305 --> 00:30:29,981 {\an7}(device beeping at low pitch) Can you speed up just a little bit? 595 00:30:30,005 --> 00:30:31,771 {\an7}We're losing her, we're losing her. 596 00:30:31,805 --> 00:30:33,138 {\an7}A little bit, a little bit. 597 00:30:33,171 --> 00:30:36,638 {\an7}(device beeping at high pitch) Right on top, got it! 598 00:30:38,305 --> 00:30:41,571 NARRATOR: The plane is able to follow the bat for three hours 599 00:30:41,605 --> 00:30:46,038 {\an1}as it circles the area, hunting flying insects. 600 00:30:46,071 --> 00:30:48,471 {\an1}Now she's heading back north, 601 00:30:48,505 --> 00:30:51,271 {\an1}heading back in the direction of the cave. 602 00:30:51,305 --> 00:30:54,638 I think she, our bat went home. 603 00:30:54,671 --> 00:30:57,871 {\an1}This is so cool... wow. 604 00:30:57,905 --> 00:30:59,571 NARRATOR: When radio telemetry was used 605 00:30:59,605 --> 00:31:03,471 a few years ago, it allowed scientists to track 606 00:31:03,505 --> 00:31:06,671 {\an1}the Mexican free-tailed bat for the first time 607 00:31:06,705 --> 00:31:09,671 in mid-flight with jaw-dropping results. 608 00:31:09,705 --> 00:31:12,771 MCCRACKEN: We knew the bats were flying long distances. 609 00:31:12,805 --> 00:31:15,838 {\an1}We knew that this particular type of bat 610 00:31:15,871 --> 00:31:18,638 {\an1}can fly really, really fast. 611 00:31:18,671 --> 00:31:22,738 {\an1}But we, we didn't expect to see this, this sort of performance. 612 00:31:22,771 --> 00:31:26,371 {\an1}We think we've seen a bat going 100 miles an hour. 613 00:31:26,405 --> 00:31:28,771 ♪ ♪ 614 00:31:28,805 --> 00:31:30,338 NARRATOR: After studying the data, 615 00:31:30,371 --> 00:31:33,171 {\an1}initial field observations were confirmed: 616 00:31:33,205 --> 00:31:35,671 {\an1}the Mexican free-tailed bat got up to speeds 617 00:31:35,705 --> 00:31:38,105 {\an1}of about 100 miles per hour, 618 00:31:38,138 --> 00:31:41,571 {\an1}the fastest horizontal flight of any animal 619 00:31:41,605 --> 00:31:43,871 ever recorded. 620 00:31:43,905 --> 00:31:47,638 {\an1}But even if bats have proved to be the fastest flyers, 621 00:31:47,671 --> 00:31:52,271 {\an1}how would that help them to resist diseases? 622 00:31:56,838 --> 00:31:59,438 {\an8}♪ ♪ 623 00:31:59,471 --> 00:32:02,338 {\an1}Back on terra firma, scientists at Brown University 624 00:32:02,371 --> 00:32:05,005 are studying the possible connections 625 00:32:05,038 --> 00:32:07,505 {\an1}between bat flight and bat health. 626 00:32:11,105 --> 00:32:15,171 Kenny Breuer is an aeronautical engineer, 627 00:32:15,205 --> 00:32:16,738 {\an1}and for the past 15 years, 628 00:32:16,771 --> 00:32:18,671 {\an1}he has been creating mechanical wings 629 00:32:18,705 --> 00:32:21,438 {\an1}that imitate the bat's anatomy. 630 00:32:21,471 --> 00:32:23,938 {\an1}His prototypes have improved, 631 00:32:23,971 --> 00:32:26,538 {\an1}but nothing comes close to the real thing. 632 00:32:26,571 --> 00:32:28,305 {\an1}(mechanical whirring) 633 00:32:28,338 --> 00:32:32,271 {\an1}They have, however, helped him understand the physical effort 634 00:32:32,305 --> 00:32:35,971 {\an1}required for bats to navigate the skies. 635 00:32:37,771 --> 00:32:40,105 {\an8}BREUER: Flying is an expensive operation 636 00:32:40,138 --> 00:32:41,914 {\an7}in terms of energy... It takes a lot of energy 637 00:32:41,938 --> 00:32:44,338 {\an7}to get into the air and to propel yourself. 638 00:32:44,371 --> 00:32:47,171 {\an1}And you have to not only generate your own thrust, 639 00:32:47,205 --> 00:32:49,038 {\an1}but you have to overcome 640 00:32:49,071 --> 00:32:51,605 {\an1}the drag that is, that is experienced 641 00:32:51,638 --> 00:32:53,371 {\an1}by your body and by your wings. 642 00:32:53,405 --> 00:32:55,305 ♪ ♪ 643 00:32:55,338 --> 00:32:58,038 NARRATOR: Scientists estimate that the physical effort 644 00:32:58,071 --> 00:33:01,871 {\an1}expended by a bat in flight is about three times more than 645 00:33:01,905 --> 00:33:04,405 {\an1}a terrestrial mammal of the same size 646 00:33:04,438 --> 00:33:06,505 {\an1}running at full speed. 647 00:33:06,538 --> 00:33:09,671 The heartbeat of certain flying bats can reach 648 00:33:09,705 --> 00:33:13,238 {\an1}1,066 beats per minute. 649 00:33:13,271 --> 00:33:15,071 {\an1}(heart beating rapidly) 650 00:33:15,105 --> 00:33:20,738 {\an1}Could this level of activity, unrivaled by any other mammal, 651 00:33:20,771 --> 00:33:23,471 {\an1}somehow explain bats' super-immunity? 652 00:33:23,505 --> 00:33:26,805 ♪ ♪ 653 00:33:26,838 --> 00:33:28,005 SWARTZ: A few measurements 654 00:33:28,038 --> 00:33:31,205 {\an7}have suggested that body temperature in bats 655 00:33:31,238 --> 00:33:33,671 {\an7}might be unusually high. 656 00:33:33,705 --> 00:33:36,771 {\an7}This has led some scientists to suggest 657 00:33:36,805 --> 00:33:40,671 {\an7}that bats' body temperatures might be so high, 658 00:33:40,705 --> 00:33:45,871 {\an7}that it's as if they continually operate 659 00:33:45,905 --> 00:33:48,471 {\an7}at fever-like temperatures 660 00:33:48,505 --> 00:33:51,305 {\an1}during their nightly flights. 661 00:33:51,338 --> 00:33:52,905 ♪ ♪ 662 00:33:52,938 --> 00:33:57,605 NARRATOR: Fever is well-known as a means of fighting infection. 663 00:33:57,638 --> 00:34:00,971 {\an1}High temperatures slow down the replication of the virus 664 00:34:01,005 --> 00:34:03,671 {\an1}and boost the foot soldiers of the immune system 665 00:34:03,705 --> 00:34:05,838 {\an1}to devour intruders. 666 00:34:05,871 --> 00:34:11,238 {\an1}A feverish body is a hostile environment for a virus. 667 00:34:13,105 --> 00:34:15,005 {\an1}So could the extreme energy spent 668 00:34:15,038 --> 00:34:16,638 {\an1}during nightly hunting forays 669 00:34:16,671 --> 00:34:19,005 cause a spike in body temperature 670 00:34:19,038 --> 00:34:21,138 {\an1}that would protect bats from viruses? 671 00:34:21,171 --> 00:34:22,571 {\an1}To know for sure, 672 00:34:22,605 --> 00:34:26,005 {\an1}scientists must collect data in perfectly controlled conditions. 673 00:34:26,038 --> 00:34:31,305 This is where the Egyptian fruit bat comes in. 674 00:34:31,338 --> 00:34:32,671 {\an1}With its two-foot wingspan, 675 00:34:32,705 --> 00:34:35,905 {\an1}it is a remarkable flying machine. 676 00:34:39,071 --> 00:34:43,205 {\an1}Equipped with expertly placed mini-thermometers, 677 00:34:43,238 --> 00:34:47,938 {\an1}the animal takes flight under the team's watchful eye. 678 00:34:47,971 --> 00:34:51,171 ANDREA RUMMEL: Oh, my God, that's not bad! 679 00:34:51,205 --> 00:34:52,971 {\an1}I'm very impressed. 680 00:34:53,005 --> 00:34:55,538 - Great spread! RUMMEL: Yeah. 681 00:34:55,571 --> 00:34:58,905 ♪ ♪ 682 00:35:02,038 --> 00:35:07,571 ♪ ♪ 683 00:35:17,405 --> 00:35:20,571 NARRATOR: The experiment was performed on four different bats, 684 00:35:20,605 --> 00:35:25,005 {\an1}and the result was exactly the same for each one. 685 00:35:27,905 --> 00:35:29,471 {\an8}RUMMEL: We got these temperature traces 686 00:35:29,505 --> 00:35:32,238 {\an7}for three muscles along the bat wing. 687 00:35:32,271 --> 00:35:35,038 {\an7}So the red is a muscle that's in the core, 688 00:35:35,071 --> 00:35:37,971 {\an7}the pectoralis muscle, which is really important for flight. 689 00:35:38,005 --> 00:35:39,871 {\an7}And then we have the biceps and the muscle 690 00:35:39,905 --> 00:35:41,571 {\an7}in the forearm of the bat. 691 00:35:41,605 --> 00:35:42,805 {\an7}So closest to the core, 692 00:35:42,838 --> 00:35:45,371 {\an7}and then the blue curve is furthest from the core. 693 00:35:45,405 --> 00:35:47,138 {\an1}And as time proceeds, 694 00:35:47,171 --> 00:35:49,671 {\an1}the red and the green muscle stay pretty close 695 00:35:49,705 --> 00:35:52,505 {\an1}to the high body temperature that it started with. 696 00:35:52,538 --> 00:35:56,371 {\an1}But as we move through time, the blue muscle, 697 00:35:56,405 --> 00:35:58,771 {\an1}the forearm muscle that's further away from the core, 698 00:35:58,805 --> 00:36:01,905 {\an1}gets really cold and stays cold. 699 00:36:01,938 --> 00:36:03,781 {\an1}As they're flying, they're flapping their wings. 700 00:36:03,805 --> 00:36:05,671 {\an1}And so heat is going to be wicked away 701 00:36:05,705 --> 00:36:06,871 {\an1}from, from the bat wings, 702 00:36:06,905 --> 00:36:09,171 just by virtue of their movement. 703 00:36:09,205 --> 00:36:11,705 {\an1}And so bats are really effective at dumping heat, 704 00:36:11,738 --> 00:36:13,405 {\an1}even if they're generating a lot, 705 00:36:13,438 --> 00:36:17,238 {\an1}and their body temperatures stay fairly normal. 706 00:36:17,271 --> 00:36:19,838 ♪ ♪ 707 00:36:19,871 --> 00:36:22,438 NARRATOR: In other words, the naked wings of bats 708 00:36:22,471 --> 00:36:25,371 {\an1}act as an ultra-efficient cooling system 709 00:36:25,405 --> 00:36:28,171 {\an1}that keeps their temperatures from rising. 710 00:36:32,071 --> 00:36:34,371 ♪ ♪ 711 00:36:34,405 --> 00:36:36,638 {\an1}There's no fever-like temperatures 712 00:36:36,671 --> 00:36:40,271 {\an1}that could explain their super-immunity. 713 00:36:42,938 --> 00:36:46,305 {\an1}But some researchers are still convinced that flight 714 00:36:46,338 --> 00:36:49,771 {\an1}must have somehow helped shape their immune system. 715 00:36:51,605 --> 00:36:58,571 ♪ ♪ 716 00:37:02,938 --> 00:37:06,805 ♪ ♪ 717 00:37:06,838 --> 00:37:08,505 It sounds, like, very promising... 718 00:37:08,538 --> 00:37:09,938 NARRATOR: One believer 719 00:37:09,971 --> 00:37:13,138 {\an1}is Linfa Wang, and he thinks he's found out how. 720 00:37:13,171 --> 00:37:14,838 {\an7}(indistinct chatter) 721 00:37:14,871 --> 00:37:17,738 {\an8}WANG: Especially in the very ancient bats, 722 00:37:17,771 --> 00:37:21,171 {\an7}when they just acquired flight capability, 723 00:37:21,205 --> 00:37:23,805 {\an7}the number-one challenge they have to deal with 724 00:37:23,838 --> 00:37:25,305 {\an7}is this high metabolism. 725 00:37:25,338 --> 00:37:29,238 NARRATOR: The high metabolism required for flight 726 00:37:29,271 --> 00:37:30,605 {\an1}should lead to inflammation: 727 00:37:30,638 --> 00:37:32,605 {\an1}when animals' muscles work really hard, 728 00:37:32,638 --> 00:37:36,538 {\an1}the intense physical activity creates toxic by-products, 729 00:37:36,571 --> 00:37:38,871 {\an1}and these usually trigger inflammation. 730 00:37:38,905 --> 00:37:42,305 {\an1}Inflammation intrigues Linfa, because it is also caused 731 00:37:42,338 --> 00:37:45,171 {\an1}by viral infections, and in humans, 732 00:37:45,205 --> 00:37:49,038 {\an1}too much inflammation can have devastating effects. 733 00:37:49,071 --> 00:37:51,271 {\an8}WANG: For other mammals, human included, 734 00:37:51,305 --> 00:37:54,805 {\an7}when the coordination goes, you know, out a window, 735 00:37:54,838 --> 00:37:56,505 {\an7}and then when you over-defense, 736 00:37:56,538 --> 00:37:59,938 {\an7}that actually cause the pathology. 737 00:37:59,971 --> 00:38:01,905 {\an7}You know, now you get disease. 738 00:38:01,938 --> 00:38:04,305 {\an7}So we have a cliché in our field to say, 739 00:38:04,338 --> 00:38:07,105 {\an7}"Very few virus kills us, we kill ourself." 740 00:38:07,138 --> 00:38:10,605 NARRATOR: This is what happened in some of the most severe 741 00:38:10,638 --> 00:38:13,538 {\an1}cases of COVID-19, when patients' immune systems 742 00:38:13,571 --> 00:38:16,171 {\an1}raged out of control 743 00:38:16,205 --> 00:38:18,505 with so-called cytokine storms. 744 00:38:21,371 --> 00:38:24,438 {\an1}Cytokines, like interferons, 745 00:38:24,471 --> 00:38:26,538 {\an1}are molecules manufactured by the body 746 00:38:26,571 --> 00:38:30,438 {\an1}to regulate an immune response in case of an attack. 747 00:38:30,471 --> 00:38:32,471 {\an1}Sometimes, the system goes berserk 748 00:38:32,505 --> 00:38:34,771 {\an1}and produces too many cytokines. 749 00:38:34,805 --> 00:38:38,305 {\an1}The resulting inflammation doesn't just hurt the virus, 750 00:38:38,338 --> 00:38:42,038 {\an1}but everything in its path, including organs like the lungs, 751 00:38:42,071 --> 00:38:45,405 {\an1}heart, and even the brain. (EKG flatlining) 752 00:38:45,438 --> 00:38:50,938 {\an1}But bats don't seem to experience these symptoms. 753 00:38:50,971 --> 00:38:52,971 {\an1}So, have bats figured out a way 754 00:38:53,005 --> 00:38:55,338 {\an1}to control the inflammation associated with 755 00:38:55,371 --> 00:38:59,038 {\an1}both high metabolism and infection? 756 00:38:59,071 --> 00:39:00,705 To find out, 757 00:39:00,738 --> 00:39:02,871 {\an1}Wang's team is mixing bat immune cells 758 00:39:02,905 --> 00:39:05,071 {\an1}with toxic molecules 759 00:39:05,105 --> 00:39:07,605 that, in humans, would trigger inflammation. 760 00:39:10,838 --> 00:39:13,405 {\an8}AHN: So actually, we have isolated bat immune cells 761 00:39:13,438 --> 00:39:16,638 {\an8}and treated them with the toxic substances 762 00:39:16,671 --> 00:39:18,605 {\an7}that are produced by the body 763 00:39:18,638 --> 00:39:20,438 {\an7}when the metabolism is high. 764 00:39:20,471 --> 00:39:22,438 NARRATOR: In most animals, 765 00:39:22,471 --> 00:39:25,471 like humans, these toxins trigger 766 00:39:25,505 --> 00:39:29,138 {\an1}the production of a protein called NLRP3, 767 00:39:29,171 --> 00:39:30,638 {\an1}which in turn ramps up 768 00:39:30,671 --> 00:39:32,371 {\an1}the immune response and inflammation. 769 00:39:32,405 --> 00:39:37,005 {\an1}This microscope reveals the presence of the protein 770 00:39:37,038 --> 00:39:41,005 {\an1}in the form of a red dot. 771 00:39:41,038 --> 00:39:43,471 {\an8}AHN: We are comparing the inflammatory response 772 00:39:43,505 --> 00:39:45,138 {\an7}between human and bat cells. 773 00:39:45,171 --> 00:39:48,105 NARRATOR: In the human cells, the red dot shows that the protein 774 00:39:48,138 --> 00:39:51,471 {\an1}is being produced, meaning the immune response has begun. 775 00:39:51,505 --> 00:39:53,771 {\an1}But over on the bat side, 776 00:39:53,805 --> 00:39:56,338 {\an1}there are no red dots, meaning no protein 777 00:39:56,371 --> 00:39:58,438 {\an1}and no immune response. 778 00:39:58,471 --> 00:40:00,505 {\an1}Their cells seem to have tolerated the attack 779 00:40:00,538 --> 00:40:01,771 {\an1}of the added toxins 780 00:40:01,805 --> 00:40:05,038 {\an1}without any immune reaction. 781 00:40:05,071 --> 00:40:09,071 AHN: So, the bat have naturally tempered NLRP3 protein, 782 00:40:09,105 --> 00:40:12,605 {\an1}so that the stress-related and the viral-induced inflammation 783 00:40:12,638 --> 00:40:14,405 {\an1}always stay under control. 784 00:40:14,438 --> 00:40:16,005 ♪ ♪ 785 00:40:16,038 --> 00:40:17,971 NARRATOR: To become successful flyers, 786 00:40:18,005 --> 00:40:20,871 {\an1}bats had to tamp down their response to the toxins 787 00:40:20,905 --> 00:40:24,205 {\an1}produced during flight and prevent inflammation. 788 00:40:24,238 --> 00:40:27,971 {\an1}Linfa Wang thinks this same anti-inflammatory chemistry 789 00:40:28,005 --> 00:40:33,105 {\an1}is what's preventing bats from over-reacting to viruses. 790 00:40:33,138 --> 00:40:36,171 {\an8}WANG: Bats are very good virus reservoirs. 791 00:40:36,205 --> 00:40:40,571 {\an7}You know, we believe is that their adaptation to flight. 792 00:40:40,605 --> 00:40:44,905 {\an8}So that created a very different immune system. 793 00:40:44,938 --> 00:40:48,571 {\an7}Of course, that was evolved not to host virus, per se. 794 00:40:48,605 --> 00:40:50,838 {\an8}That's evolved adaptation to flight. 795 00:40:50,871 --> 00:40:53,305 {\an7}So their ability to host virus 796 00:40:53,338 --> 00:40:56,471 {\an7}is almost like a by-product, in my view. 797 00:40:56,505 --> 00:41:01,071 NARRATOR: For the team in Singapore, this unique adaptation isn't just 798 00:41:01,105 --> 00:41:04,105 {\an1}an evolutionary curiosity... It could pave the way 799 00:41:04,138 --> 00:41:06,905 {\an1}to revolutionary new therapies for all sorts of 800 00:41:06,938 --> 00:41:09,571 human diseases that involve inflammation. 801 00:41:09,605 --> 00:41:11,605 {\an8}AHN: In COVID-19 infections 802 00:41:11,638 --> 00:41:15,605 {\an7}and many age-related chronic diseases, 803 00:41:15,638 --> 00:41:20,005 {\an7}such as Alzheimer's or stroke, coronary artery disease, 804 00:41:20,038 --> 00:41:23,538 {\an7}diabetes... in all these diseases, 805 00:41:23,571 --> 00:41:25,938 {\an7}inflammation is over-activated. 806 00:41:25,971 --> 00:41:27,438 {\an7}That cause a lot of problem. 807 00:41:27,471 --> 00:41:33,705 {\an8}♪ ♪ 808 00:41:33,738 --> 00:41:37,171 {\an8}WANG: I'm really excited, from a basic scientist's point of view, 809 00:41:37,205 --> 00:41:40,238 {\an7}is that we are studying a very important mammal 810 00:41:40,271 --> 00:41:43,738 {\an7}as a model for living, you know, 811 00:41:43,771 --> 00:41:45,905 {\an7}a health, you know... I mean, 812 00:41:45,938 --> 00:41:47,605 {\an7}to health living and longevity, yeah. 813 00:41:47,638 --> 00:41:49,405 ♪ ♪ 814 00:41:49,438 --> 00:41:52,205 NARRATOR: This is the paradox of the bat. 815 00:41:52,238 --> 00:41:54,938 {\an1}Held responsible for a pandemic, 816 00:41:54,971 --> 00:41:57,538 {\an1}could the bat also be the source 817 00:41:57,571 --> 00:41:59,505 {\an1}of potential new cures? 818 00:41:59,538 --> 00:42:01,938 {\an1}Not just to fight disease, 819 00:42:01,971 --> 00:42:03,938 {\an1}but also old age? 820 00:42:03,971 --> 00:42:06,238 {\an1}Could the bat, maligned and misunderstood as it is, 821 00:42:06,271 --> 00:42:10,071 {\an1}also teach us the secret to growing old healthier? 822 00:42:10,105 --> 00:42:15,438 ♪ ♪ 823 00:42:21,438 --> 00:42:26,005 {\an8}♪ ♪ 824 00:42:26,038 --> 00:42:29,405 {\an8}This is Beganne, a village in Brittany, France, 825 00:42:29,438 --> 00:42:34,005 {\an7}whose bell tower is a well-known refuge for bats. 826 00:42:34,038 --> 00:42:37,905 {\an7}Every summer, dozens of female greater mouse-eared bats 827 00:42:37,938 --> 00:42:41,605 {\an7}roost in its rafters, giving birth to their pups... 828 00:42:41,638 --> 00:42:44,671 {\an7}a species whose exceptional, long lifespans 829 00:42:44,705 --> 00:42:48,038 {\an7}fascinate scientists like Eric Petit. 830 00:42:48,071 --> 00:42:50,505 {\an1}But he must wait for nightfall 831 00:42:50,538 --> 00:42:54,505 {\an1}to spot the newborns and their mothers. 832 00:42:56,171 --> 00:42:59,271 {\an7}PETIT (translated): With the greater mouse-eared bat, you have to be patient. 833 00:42:59,305 --> 00:43:01,071 {\an7}They don't come out very early, 834 00:43:01,105 --> 00:43:04,771 {\an7}so we've often got to wait a long time. 835 00:43:04,805 --> 00:43:07,371 {\an1}(speaking French) 836 00:43:07,405 --> 00:43:10,105 (translated): We're in front of the exit. 837 00:43:10,138 --> 00:43:14,271 In this colony, there's about 90 adults. 838 00:43:14,305 --> 00:43:16,238 {\an1}We're hearing something over there. 839 00:43:16,271 --> 00:43:18,438 {\an1}I think they're just behind the drainpipe. 840 00:43:19,571 --> 00:43:21,705 NARRATOR: They're difficult to see, 841 00:43:21,738 --> 00:43:26,271 {\an7}discreetly slipping out from behind the drainpipe. 842 00:43:26,305 --> 00:43:29,138 {\an1}But a thermal camera reveals the frenzied 843 00:43:29,171 --> 00:43:32,838 {\an1}nocturnal ballet taking place around the church. 844 00:43:40,871 --> 00:43:42,605 {\an7}In the surrounding underbrush, 845 00:43:42,638 --> 00:43:46,905 {\an7}this nocturnal acrobat shows the full range of its agility. 846 00:43:51,005 --> 00:43:53,447 {\an7}PETIT (translated): The greater mouse-eared bat is known for hunting 847 00:43:53,471 --> 00:43:55,538 {\an7}between 12 and 24 inches from the ground. 848 00:43:55,571 --> 00:43:58,171 {\an1}They listen for beetles making noise 849 00:43:58,205 --> 00:44:00,005 walking through the underbrush. 850 00:44:00,038 --> 00:44:02,405 {\an1}(speaking French) 851 00:44:02,438 --> 00:44:05,538 (translated): As soon as they hear one, they jump on top, 852 00:44:05,571 --> 00:44:08,838 grab hold of it, and fly off. 853 00:44:10,338 --> 00:44:14,105 NARRATOR: But it's not their agile flight or unusual hunting methods 854 00:44:14,138 --> 00:44:17,671 {\an1}that have caught the attention of scientists the world over. 855 00:44:17,705 --> 00:44:18,938 {\an1}It's their amazing longevity, 856 00:44:18,971 --> 00:44:22,171 {\an1}which seems to defy the laws of nature. 857 00:44:23,471 --> 00:44:26,071 {\an1}PETIT (translated): There is a general rule in biology. 858 00:44:26,105 --> 00:44:28,571 {\an1}Smaller animals don't live very long, 859 00:44:28,605 --> 00:44:31,505 {\an1}while larger animals live much longer. 860 00:44:31,538 --> 00:44:33,738 {\an1}Mice live for a couple of years, 861 00:44:33,771 --> 00:44:36,071 {\an1}while elephants can live dozens of years. 862 00:44:36,105 --> 00:44:38,271 {\an8}NARRATOR: The oldest greater mouse-eared bat 863 00:44:38,305 --> 00:44:40,571 {\an7}ever recorded was 37 years old. 864 00:44:40,605 --> 00:44:43,171 {\an7}But the record for longest life 865 00:44:43,205 --> 00:44:47,738 {\an7}is actually held by a cousin of the greater mouse-eared bat. 866 00:44:47,771 --> 00:44:50,938 {\an7}The Brandt's bat weighs less than a quarter of an ounce, 867 00:44:50,971 --> 00:44:54,005 {\an7}yet researchers captured a specimen that was at least 868 00:44:54,038 --> 00:44:58,338 {\an8}41 years old... A lifespan ten times longer 869 00:44:58,371 --> 00:45:01,105 {\an7}than theoretically expected. 870 00:45:01,138 --> 00:45:04,671 {\an8}♪ ♪ 871 00:45:10,071 --> 00:45:12,438 {\an1}PUECHMAILLE (translated): What's really fascinating with bats 872 00:45:12,471 --> 00:45:14,105 {\an1}is that if you capture an individual 873 00:45:14,138 --> 00:45:17,171 {\an1}that is two years old, or one that is 15 or 20 years old, 874 00:45:17,205 --> 00:45:20,305 {\an7}you can't see any difference between the two. 875 00:45:20,338 --> 00:45:22,405 {\an7}With humans, dogs, and most other species, 876 00:45:22,438 --> 00:45:23,405 {\an7}you would see an individual 877 00:45:23,438 --> 00:45:25,105 that has aged. 878 00:45:25,138 --> 00:45:27,571 NARRATOR: Sébastien Puechmaille studies aging 879 00:45:27,605 --> 00:45:32,238 {\an1}at the Institute of Evolutionary Science in Montpellier, France. 880 00:45:32,271 --> 00:45:36,205 ♪ ♪ 881 00:45:39,771 --> 00:45:41,405 {\an1}(Puechmaille speaking French) 882 00:45:41,438 --> 00:45:44,271 (translated): When we study aging, one of the first things we look at 883 00:45:44,305 --> 00:45:47,105 {\an1}is the central part of the cell, which is shown here, 884 00:45:47,138 --> 00:45:49,505 the nucleus. 885 00:45:49,538 --> 00:45:52,005 {\an1}Inside the nucleus, you see these kinds of small Xs. 886 00:45:52,038 --> 00:45:54,638 {\an1}These are the chromosomes. 887 00:45:54,671 --> 00:45:56,181 {\an1}I've zoomed in on the most important part 888 00:45:56,205 --> 00:45:58,771 {\an1}of the chromosome here, its extremities, 889 00:45:58,805 --> 00:46:02,405 {\an1}which we see in red. 890 00:46:02,438 --> 00:46:07,705 {\an1}These are what we call telomeres. 891 00:46:07,738 --> 00:46:09,571 So this telomere is a long fragment 892 00:46:09,605 --> 00:46:13,738 {\an1}that is in charge of protecting the chromosome's extremity. 893 00:46:13,771 --> 00:46:17,138 On young cells, the telomere is very long, 894 00:46:17,171 --> 00:46:22,071 {\an1}and over time, as the cell ages, the telomere gets shorter. 895 00:46:22,105 --> 00:46:25,371 At some point, it will get so short 896 00:46:25,405 --> 00:46:28,238 {\an1}that it will directly affect the integrity of the chromosome 897 00:46:28,271 --> 00:46:29,905 {\an1}and the health of the cell. 898 00:46:29,938 --> 00:46:33,438 NARRATOR: Scientists think that the shortening of telomeres 899 00:46:33,471 --> 00:46:37,071 {\an1}over time is one of the key triggers of cell death, 900 00:46:37,105 --> 00:46:40,738 {\an1}influencing the aging process and the lifespan 901 00:46:40,771 --> 00:46:44,171 {\an1}of all mammalian species. 902 00:46:44,205 --> 00:46:46,571 {\an1}So what's the deal with bats? 903 00:46:46,605 --> 00:46:48,971 (bell tolling) 904 00:46:49,005 --> 00:46:51,905 {\an1}For the past ten years, the bat colony at the church 905 00:46:51,938 --> 00:46:54,538 {\an1}in Beganne has been at the heart of a study 906 00:46:54,571 --> 00:46:58,771 {\an1}to figure out the secret to bats' long lives. 907 00:46:58,805 --> 00:47:01,471 Every summer, Sébastien Puechmaille 908 00:47:01,505 --> 00:47:03,238 {\an1}meets up with Emma Teeling and her team 909 00:47:03,271 --> 00:47:04,805 {\an1}to collect samples that allow them 910 00:47:04,838 --> 00:47:09,438 {\an1}to follow individual bats and their aging process. 911 00:47:09,471 --> 00:47:11,871 {\an1}An implant gun is used to insert a magnetic 912 00:47:11,905 --> 00:47:15,338 {\an1}identification chip the size of a grain of rice 913 00:47:15,371 --> 00:47:18,138 {\an1}under the skin between the shoulder blades. 914 00:47:18,171 --> 00:47:22,538 {\an1}Dozens of juveniles had been tagged this summer. 915 00:47:22,571 --> 00:47:23,905 (translated): When we say "tag," 916 00:47:23,938 --> 00:47:26,238 {\an1}it means inserting these tiny microchips, 917 00:47:26,271 --> 00:47:30,105 {\an1}like we do with dogs and cats at the vet. 918 00:47:30,138 --> 00:47:31,638 {\an1}This allows us to recognize 919 00:47:31,671 --> 00:47:34,471 {\an1}the same individuals year after year 920 00:47:34,505 --> 00:47:38,071 {\an1}and to follow their aging. 921 00:47:38,105 --> 00:47:41,038 NARRATOR: The oldest tagged individuals are now ten years old. 922 00:47:43,071 --> 00:47:45,014 {\an1}These are our sample numbers, so what we take back to UCD. 923 00:47:45,038 --> 00:47:47,438 {\an4}Right. So we know who's who, and there she is. 924 00:47:47,471 --> 00:47:48,705 {\an1}TEELING: Isn't that beautiful? 925 00:47:48,738 --> 00:47:50,371 {\an1}WOMAN: Gorgeous. 926 00:47:50,405 --> 00:47:51,638 {\an1}Is that a baby? 927 00:47:51,671 --> 00:47:53,047 {\an1}TEELING: We're gonna find out now in a minute! 928 00:47:53,071 --> 00:47:54,147 PUECHMAILLE: It looks like an adult. 929 00:47:54,171 --> 00:47:55,547 {\an4}TEELING: Do you want to bet? WOMAN: Yeah! 930 00:47:55,571 --> 00:47:57,047 {\an4}TEELING: You say a baby or an adult? PUECHMAILLE: Adult. 931 00:47:57,071 --> 00:48:00,005 {\an1}TEELING: Okay, can we, will we check to see by shining? 932 00:48:00,038 --> 00:48:02,138 {\an1}It's an adult! 933 00:48:02,171 --> 00:48:04,271 {\an1}Now we are going to take the blood. 934 00:48:04,305 --> 00:48:05,838 {\an1}Quite dark, isn't it? 935 00:48:05,871 --> 00:48:08,038 NARRATOR: Whether it's a drop of blood 936 00:48:08,071 --> 00:48:10,571 {\an1}or a small skin fragment, the samples taken every year 937 00:48:10,605 --> 00:48:15,205 {\an1}are conserved carefully in liquid nitrogen. 938 00:48:15,238 --> 00:48:17,171 {\an1}TEELING: Do you see how relaxed the bat is? 939 00:48:17,205 --> 00:48:18,305 {\an1}WOMAN: Yeah. 940 00:48:18,338 --> 00:48:19,447 {\an1}TEELING: It doesn't hurt them at all. 941 00:48:19,471 --> 00:48:20,681 {\an1}As long as they're in capable hands, 942 00:48:20,705 --> 00:48:22,114 {\an1}with people who know how to hold them properly 943 00:48:22,138 --> 00:48:24,605 and correctly. 944 00:48:24,638 --> 00:48:26,271 {\an1}So there it is! 945 00:48:26,305 --> 00:48:29,738 {\an1}Secret of everlasting youth. 946 00:48:29,771 --> 00:48:31,405 ♪ ♪ 947 00:48:31,438 --> 00:48:34,638 NARRATOR: Some of the precious samples taken in Beganne are stored 948 00:48:34,671 --> 00:48:38,471 {\an1}in Sébastien's basement laboratory in Montpellier. 949 00:48:38,505 --> 00:48:40,014 {\an1}To see if the greater mouse-eared bat's longevity 950 00:48:40,038 --> 00:48:41,971 {\an1}could be linked to the length of its telomeres, 951 00:48:42,005 --> 00:48:44,705 scientists have compared them with those 952 00:48:44,738 --> 00:48:46,471 {\an1}of the common bent-winged bat, 953 00:48:46,505 --> 00:48:50,338 {\an1}a species of bat that usually dies before it reaches 20. 954 00:48:52,305 --> 00:48:54,871 (translate): What you see with the common bent-winged bat, 955 00:48:54,905 --> 00:48:56,438 {\an1}which has a short lifespan, 956 00:48:56,471 --> 00:48:58,438 {\an1}that the telomeres shorten with age. 957 00:48:58,471 --> 00:48:59,681 {\an1}You see that very clear progression. 958 00:48:59,705 --> 00:49:03,138 {\an1}On the other hand, the greater mouse-eared bat 959 00:49:03,171 --> 00:49:06,038 {\an1}shows absolutely no shortening of the telomeres. 960 00:49:06,071 --> 00:49:07,871 On the contrary, you can see clearly 961 00:49:07,905 --> 00:49:11,305 {\an1}that they remain constant as the individual ages. 962 00:49:11,338 --> 00:49:13,171 {\an1}So an individual bat which is ten years old 963 00:49:13,205 --> 00:49:15,105 or one year old, 964 00:49:15,138 --> 00:49:18,505 {\an1}the telomeres will be exactly the same length. 965 00:49:18,538 --> 00:49:20,505 TEELING: What we found was extraordinary. 966 00:49:20,538 --> 00:49:24,771 {\an7}In the longest-lived genera of bats, the myotis bats, 967 00:49:24,805 --> 00:49:28,171 {\an7}their telomeres do not shorten with age. 968 00:49:28,205 --> 00:49:29,971 {\an1}And this was very unique. 969 00:49:30,005 --> 00:49:32,371 {\an1}We didn't really see this in any other mammal. 970 00:49:32,405 --> 00:49:36,538 {\an1}Telomeres shorten in us, in badgers, in sea lions. 971 00:49:36,571 --> 00:49:37,971 {\an1}So this was extraordinary. 972 00:49:38,005 --> 00:49:40,871 NARRATOR: Emma and Sébastien believe 973 00:49:40,905 --> 00:49:42,438 {\an1}that the greater mouse-eared bat's 974 00:49:42,471 --> 00:49:44,705 {\an1}extraordinarily long life 975 00:49:44,738 --> 00:49:47,005 {\an1}is linked to the resilience of its telomeres. 976 00:49:48,538 --> 00:49:50,771 But how does this genetic material 977 00:49:50,805 --> 00:49:53,738 {\an1}withstand the passage of time? 978 00:49:57,605 --> 00:50:00,138 {\an1}To find out, scientists compared the genes 979 00:50:00,171 --> 00:50:03,405 {\an1}of the greater mouse-eared bat with other mammals 980 00:50:03,438 --> 00:50:07,138 {\an1}and uncovered some key differences. 981 00:50:07,171 --> 00:50:09,271 TEELING: We found two or three genes 982 00:50:09,305 --> 00:50:12,105 {\an1}that we think are evolving in a different way in bats, 983 00:50:12,138 --> 00:50:16,005 {\an1}that we think are the genes that allow this thing 984 00:50:16,038 --> 00:50:19,805 {\an1}called alternative telomere lengthening happen in bats. 985 00:50:19,838 --> 00:50:22,805 {\an1}So bats are able to use a different mechanism 986 00:50:22,838 --> 00:50:25,671 {\an1}to maintain their telomeres with age. 987 00:50:25,705 --> 00:50:30,238 NARRATOR: Are these genes the key to the bats' long and healthy lives? 988 00:50:30,271 --> 00:50:32,038 {\an1}And could they one day protect 989 00:50:32,071 --> 00:50:35,338 {\an1}against the effects of aging in humans, as well? 990 00:50:35,371 --> 00:50:37,871 {\an1}Scientists aren't about to turn this discovery 991 00:50:37,905 --> 00:50:41,471 {\an1}into an elixir of youth, but researchers like Emma 992 00:50:41,505 --> 00:50:43,471 {\an1}are optimistic for the future. 993 00:50:43,505 --> 00:50:47,238 {\an1}Their adventure with bats has just begun. 994 00:50:49,805 --> 00:50:53,438 (crow cawing) 995 00:50:53,471 --> 00:50:56,938 {\an1}Echolocation that allows them to see in total darkness. 996 00:50:56,971 --> 00:51:01,305 {\an1}Flight speed that is unrivaled by any other animal. 997 00:51:01,338 --> 00:51:04,271 {\an1}They are impervious to most viruses, 998 00:51:04,305 --> 00:51:06,371 {\an1}insensitive to aging, 999 00:51:06,405 --> 00:51:11,238 {\an1}and the masters of a marvelously controlled immune system. 1000 00:51:11,271 --> 00:51:16,371 {\an1}Not bad for an animal so long despised. 1001 00:51:16,405 --> 00:51:19,071 TEELING: Looking at bats, one of the most vilified 1002 00:51:19,105 --> 00:51:22,371 {\an1}and terrifying, potentially, of all mammals. 1003 00:51:22,405 --> 00:51:24,971 {\an1}If we look at them in a slightly different light, 1004 00:51:25,005 --> 00:51:29,438 {\an1}we will be able to find ways to improve human existence. 1005 00:51:29,471 --> 00:51:34,805 ♪ ♪ 1006 00:51:34,838 --> 00:51:38,338 NARRATOR: The product of millions of years of adaptation, 1007 00:51:38,371 --> 00:51:40,571 {\an1}bats are now emerging from the shadows 1008 00:51:40,605 --> 00:51:42,971 {\an1}as extraordinary creatures 1009 00:51:43,005 --> 00:51:44,905 {\an1}that could potentially light a path 1010 00:51:44,938 --> 00:51:50,538 {\an1}for longer, and healthier, human lives. 1011 00:51:50,571 --> 00:51:55,338 ♪ ♪ 1012 00:52:08,738 --> 00:52:11,671 ♪ ♪ 1013 00:52:13,105 --> 00:52:14,881 {\an8}ALOK PATEL: Discover the science behind the news 1014 00:52:14,905 --> 00:52:16,971 {\an7}with the "NOVA Now" podcast. 1015 00:52:17,005 --> 00:52:20,505 {\an7}Listen at pbs.org/novanowpodcast 1016 00:52:20,538 --> 00:52:23,638 {\an7}or wherever you find your favorite podcasts. 1017 00:52:23,671 --> 00:52:25,505 {\an8}ANNOUNCER: To order this program on DVD, 1018 00:52:25,538 --> 00:52:30,871 {\an8}visit ShopPBS or call 1-800-PLAY-PBS. 1019 00:52:30,905 --> 00:52:33,738 {\an7}Episodes of "NOVA" are available with Passport. 1020 00:52:33,771 --> 00:52:37,071 {\an7}"NOVA" is also available on Amazon Prime Video. 1021 00:52:40,038 --> 00:52:46,705 ♪ ♪ 85179

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