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These are the user uploaded subtitles that are being translated: 1 00:00:02,807 --> 00:00:04,832 more than 38 million cases 2 00:00:04,867 --> 00:00:08,192 Of covid-19 have been confirmed worldwide. 3 00:00:08,227 --> 00:00:10,312 Authorities are still trying to zero in 4 00:00:10,387 --> 00:00:12,672 On the starting point for this virus. 5 00:00:12,681 --> 00:00:15,632 covid-19 is just a latest example of a deadly 6 00:00:15,667 --> 00:00:18,399 Viral disease jumping from animals to people. 7 00:00:20,867 --> 00:00:23,712 today, more and more wild viruses 8 00:00:23,747 --> 00:00:25,399 Are spilling into humans. 9 00:00:26,547 --> 00:00:28,432 If we don't find a way to stop them, 10 00:00:28,467 --> 00:00:31,312 Our very survival could be at stake. 11 00:00:31,321 --> 00:00:32,512 with covid, 12 00:00:32,547 --> 00:00:34,672 We've seen how devastating this virus is, 13 00:00:34,707 --> 00:00:36,999 If we wanna prevent a pandemic from happening, 14 00:00:37,074 --> 00:00:40,312 We really need to figure out how this virus came about 15 00:00:40,387 --> 00:00:42,719 So we can prevent these things in the future. 16 00:00:43,874 --> 00:00:47,912 [narrator] covid-19's origin is still a mystery. 17 00:00:47,987 --> 00:00:51,632 But one animal has emerged as the prime suspect. 18 00:00:51,667 --> 00:00:55,319 It's almost certain that it evolved in a bat. 19 00:00:56,067 --> 00:00:57,559 [linfa wang] 20 00:01:04,034 --> 00:01:06,432 [jonna mazet] a lot of characteristics of bats 21 00:01:06,467 --> 00:01:10,199 Make them kind of the perfect spreader. 22 00:01:10,274 --> 00:01:11,872 [narrator] time is of the essence, 23 00:01:11,907 --> 00:01:13,712 So teams are racing to understand 24 00:01:13,747 --> 00:01:16,079 How bats trigger deadly pandemics. 25 00:01:17,507 --> 00:01:20,432 A global health problem calls for nothing short 26 00:01:20,507 --> 00:01:22,199 Than a united global response. 27 00:01:23,321 --> 00:01:25,072 [murray] there's a realization that 28 00:01:25,107 --> 00:01:27,792 Health needs to be interpreted on a global level. 29 00:01:27,801 --> 00:01:29,632 It's not someone else's problem, 30 00:01:29,641 --> 00:01:32,912 It's all of our problem, and we all need to step up. 31 00:01:32,987 --> 00:01:36,072 The urgency is here is not just covid, 32 00:01:36,147 --> 00:01:37,799 But it's the next one, and the next one 33 00:01:37,874 --> 00:01:39,872 Because we do know that it's coming. 34 00:01:39,907 --> 00:01:42,559 [dramatic music] 35 00:01:46,107 --> 00:01:47,912 [car honking] 36 00:01:47,987 --> 00:01:51,639 [narrator] as covid-19 rages throughout the summer of 2020, 37 00:01:51,714 --> 00:01:53,952 Scientists globally are mobilizing 38 00:01:53,987 --> 00:01:56,952 To find the source of the virus. 39 00:01:57,027 --> 00:01:58,912 It's too late to stop this outbreak, 40 00:01:58,987 --> 00:02:02,992 But learning from it could help prevent the next one. 41 00:02:03,027 --> 00:02:05,912 Emerging infectious diseases is a really critical field 42 00:02:05,987 --> 00:02:08,632 Of study that has come into its own 43 00:02:08,707 --> 00:02:10,919 In particular this last year with covid. 44 00:02:12,067 --> 00:02:15,232 [mazet] covid is deadly and devastating 45 00:02:15,307 --> 00:02:18,832 And we need to use it as a clarion call 46 00:02:18,841 --> 00:02:20,359 To be ready 47 00:02:20,434 --> 00:02:24,912 So that we don't let anything worse happen the next time. 48 00:02:24,947 --> 00:02:27,272 [narrator] the first big goal is to establish 49 00:02:27,347 --> 00:02:29,239 Where this virus came from. 50 00:02:30,521 --> 00:02:32,999 When we're looking at something like covid-19, 51 00:02:33,074 --> 00:02:34,832 Or any other emerging virus, 52 00:02:34,841 --> 00:02:36,519 One of the things that we really wanna do 53 00:02:36,594 --> 00:02:38,952 Is find out who is the reservoir. 54 00:02:39,027 --> 00:02:41,279 Which is the species that holds this virus? 55 00:02:48,107 --> 00:02:50,512 [narrator] a major clue to the pandemic's source 56 00:02:50,547 --> 00:02:54,032 Is found inside the virus itself. 57 00:02:54,107 --> 00:02:58,312 Sars-cov-2, the virus that causes covid-19, 58 00:02:58,387 --> 00:03:00,912 Closely resembles several other viruses 59 00:03:00,987 --> 00:03:03,392 Found in bats across asia. 60 00:03:03,427 --> 00:03:05,559 These bats had one thing in common, 61 00:03:06,547 --> 00:03:08,759 They were all horseshoe bats. 62 00:03:10,947 --> 00:03:14,192 One of those close matches was collected ten years ago 63 00:03:14,201 --> 00:03:16,159 Here in northern cambodia. 64 00:03:17,107 --> 00:03:19,072 The same team is now returning 65 00:03:19,147 --> 00:03:21,519 To look for more related viruses. 66 00:03:22,307 --> 00:03:23,719 [soft music] 67 00:03:26,361 --> 00:03:28,039 [vibol hul] 68 00:03:42,947 --> 00:03:44,512 [narrator] working as a virologist 69 00:03:44,547 --> 00:03:46,792 For the institute pasteur cambodia, 70 00:03:46,867 --> 00:03:48,952 Vibol hul has spent years 71 00:03:49,027 --> 00:03:51,119 Searching for undiscovered viruses. 72 00:03:52,307 --> 00:03:54,112 His mission is to find them 73 00:03:54,187 --> 00:03:57,712 Before they have a chance to infect humans. 74 00:03:57,747 --> 00:04:00,072 Scientific studies have shown that so far, 75 00:04:00,147 --> 00:04:02,839 We have uncovered approximately 76 00:04:02,914 --> 00:04:04,992 One percent of all the viruses 77 00:04:05,027 --> 00:04:08,112 That that have the opportunity to kill mammals 78 00:04:08,147 --> 00:04:09,472 And human beings. 79 00:04:09,507 --> 00:04:10,912 That's leaving us obviously, 80 00:04:10,947 --> 00:04:13,632 With 99% more viruses out there. 81 00:04:13,667 --> 00:04:16,512 I think it's a really important thing for us to be doing, 82 00:04:16,547 --> 00:04:19,912 Identifying as many of the viruses out there 83 00:04:19,987 --> 00:04:21,552 That we possibly can 84 00:04:21,627 --> 00:04:23,959 So the next time that there is an eruption 85 00:04:24,034 --> 00:04:26,032 We can say, "right, these people are dying 86 00:04:26,107 --> 00:04:27,232 In this area. 87 00:04:27,307 --> 00:04:28,839 Be careful 'cause there's this species here, 88 00:04:28,914 --> 00:04:31,999 There's this virus here. This is how we isolate it." 89 00:04:33,507 --> 00:04:35,432 [narrator] the team has just a few days 90 00:04:35,507 --> 00:04:37,712 To catch hundreds of horseshoe bats, 91 00:04:37,747 --> 00:04:40,679 In the hope they will provide enough virus data. 92 00:04:43,667 --> 00:04:45,679 [wang] 93 00:04:52,067 --> 00:04:55,472 [mazet] it's important to work together across disciplines 94 00:04:55,507 --> 00:04:57,479 To solve these huge problems. 95 00:04:58,707 --> 00:05:00,032 [narrator] virologists like vibol, 96 00:05:00,107 --> 00:05:04,199 Are now joining forces with bat experts, like neil furey. 97 00:05:05,714 --> 00:05:08,352 With over 20 years experience studying bats 98 00:05:08,387 --> 00:05:09,872 In south east asia, 99 00:05:09,907 --> 00:05:13,759 He's here to help vibol catch as many horseshoe bats as possible. 100 00:05:15,187 --> 00:05:18,792 What we have here is a limestone karst hill, 101 00:05:18,867 --> 00:05:21,472 Which are effectively like a block of swiss-cheese, 102 00:05:21,507 --> 00:05:22,992 They are full of holes. 103 00:05:23,027 --> 00:05:27,392 And so they have quite abundant cave dwelling bat populations. 104 00:05:27,467 --> 00:05:31,792 An important member of that group is the horseshoe bats, 105 00:05:31,801 --> 00:05:34,839 Which have been linked to covid-19. 106 00:05:36,867 --> 00:05:39,072 With covid, there's a realization that, 107 00:05:39,107 --> 00:05:41,312 Like the economy, health needs to be interpreted 108 00:05:41,347 --> 00:05:43,112 On a global level 109 00:05:43,187 --> 00:05:45,912 And for us to be thinking of global health as an issue. 110 00:05:45,987 --> 00:05:49,159 Human health, animal health and environmental health 111 00:05:49,234 --> 00:05:51,232 Are all inextricably linked 112 00:05:51,307 --> 00:05:53,232 And therefore dependent on each other. 113 00:05:53,307 --> 00:05:55,319 And if we wanna keep one healthy, 114 00:05:55,394 --> 00:05:57,199 We need to keep the other healthy as well. 115 00:05:59,347 --> 00:06:02,559 [narrator] as the sun goes down, bats begin to appear. 116 00:06:04,107 --> 00:06:07,399 Since any one of them could be carrying deadly viruses, 117 00:06:08,707 --> 00:06:10,479 The team takes precautions. 118 00:06:14,707 --> 00:06:16,799 [hul] 119 00:06:19,481 --> 00:06:20,832 [narrator] despite all this effort, 120 00:06:20,867 --> 00:06:23,152 The odds are against the team. 121 00:06:23,187 --> 00:06:27,472 Only 5% of horseshoe bats carry coronaviruses. 122 00:06:27,481 --> 00:06:31,159 So vibol must catch hundreds to improve his sample size. 123 00:06:34,067 --> 00:06:35,759 [hul] 124 00:06:37,347 --> 00:06:38,999 [neil furey] 125 00:06:39,074 --> 00:06:40,999 The net as a whole is a lot more visible 126 00:06:41,074 --> 00:06:42,832 Because of all the rain we've had. 127 00:06:42,841 --> 00:06:44,479 That's acting against us. 128 00:06:45,507 --> 00:06:47,839 Shake off any excess water. 129 00:06:49,987 --> 00:06:52,839 Sophia can you check the net down there? 130 00:06:53,467 --> 00:06:54,432 Please. 131 00:06:54,467 --> 00:06:56,919 Ooh, got one? 132 00:06:58,107 --> 00:07:00,519 No, there he is, there's one. 133 00:07:02,034 --> 00:07:05,632 [narrator] but it's not the bat they're looking for. 134 00:07:05,667 --> 00:07:08,632 [furey] it's the intermediate leaf nosed bat 135 00:07:08,707 --> 00:07:10,839 [narrator] vibol decides to sample it anyway 136 00:07:10,914 --> 00:07:13,752 Since it roosts in the same caves as horseshoe bats, 137 00:07:13,827 --> 00:07:15,959 And may contain similar viruses. 138 00:07:19,907 --> 00:07:21,072 [furey] that's a horseshoe bat. 139 00:07:21,147 --> 00:07:22,512 [hul] 140 00:07:22,521 --> 00:07:24,352 [furey] 141 00:07:24,361 --> 00:07:26,152 If you're quick... 142 00:07:26,227 --> 00:07:27,559 It's better for the bat. 143 00:07:29,027 --> 00:07:33,639 The structure of the face of the nose leaf, 144 00:07:33,714 --> 00:07:36,599 Is absolutely unmistakable for this species. 145 00:07:42,667 --> 00:07:44,839 Okay, guys, we're going to close up now. 146 00:07:44,914 --> 00:07:46,839 Can I get everybody out of here please? 147 00:07:48,307 --> 00:07:50,072 [narrator] the team has caught and bagged 148 00:07:50,147 --> 00:07:53,639 Over 160 bats for sampling, 149 00:07:53,714 --> 00:07:55,999 90% are horseshoe bats. 150 00:07:57,747 --> 00:07:59,999 But their night is far from over. 151 00:08:06,387 --> 00:08:08,999 Now they must work quickly to collect oral, 152 00:08:09,074 --> 00:08:12,152 Rectal and blood samples from every bat, 153 00:08:12,227 --> 00:08:14,359 Then release them back into the wild. 154 00:08:16,067 --> 00:08:17,799 [hul] 155 00:08:25,827 --> 00:08:28,432 [narrator] it may take vibol months of analysis, 156 00:08:28,467 --> 00:08:30,272 But data like this is revealing 157 00:08:30,347 --> 00:08:33,112 Potential virus hotspots around the world, 158 00:08:33,187 --> 00:08:35,439 Helping us avoid future outbreaks. 159 00:08:40,507 --> 00:08:42,119 [hul] 160 00:08:57,947 --> 00:09:00,912 [narrator] huge efforts are going into uncovering the role 161 00:09:00,947 --> 00:09:03,152 That bats play in pandemics. 162 00:09:03,161 --> 00:09:04,752 A key piece of that puzzle 163 00:09:04,787 --> 00:09:07,632 Is figuring out why bats seem less affected 164 00:09:07,667 --> 00:09:09,839 By deadly viruses than humans. 165 00:09:21,907 --> 00:09:24,832 [narrator] welcome to the inside of your airway, 166 00:09:24,841 --> 00:09:27,872 From the point of view of a coronavirus. 167 00:09:27,907 --> 00:09:30,839 All viruses are microscopic parasites, 168 00:09:30,914 --> 00:09:33,232 Whose sole purpose is to infect cells, 169 00:09:33,307 --> 00:09:35,839 Replicate and spread to new hosts. 170 00:09:37,394 --> 00:09:40,359 Killing the hosts is never part of the plan. 171 00:09:40,434 --> 00:09:43,432 But sometimes, an invading virus can set off 172 00:09:43,507 --> 00:09:46,472 A dangerous chain reaction. 173 00:09:46,547 --> 00:09:49,232 The host's infected cells release chemical signals 174 00:09:49,267 --> 00:09:51,119 To alert the immune system. 175 00:09:53,107 --> 00:09:56,032 Immune cells arrive on the scene. 176 00:09:56,067 --> 00:09:57,472 They attempt to kill the virus 177 00:09:57,507 --> 00:10:00,992 By sacrificing the infected cells. 178 00:10:01,027 --> 00:10:02,672 Which triggers other defenses 179 00:10:02,681 --> 00:10:06,192 Like raising the body's temperature. 180 00:10:06,227 --> 00:10:08,832 But sometimes healthy cells are also killed 181 00:10:08,867 --> 00:10:10,672 By the immune system 182 00:10:10,707 --> 00:10:14,312 Leading to a run-away cycle of destruction. 183 00:10:14,387 --> 00:10:16,312 For covid-19 patients, 184 00:10:16,387 --> 00:10:19,632 The body tries to kill the virus with high fevers. 185 00:10:19,667 --> 00:10:22,952 While the lungs fill with the debris of dead cells 186 00:10:23,027 --> 00:10:25,519 Leading to potentially lethal breathing problems. 187 00:10:53,667 --> 00:10:55,152 [narrator] singapore. 188 00:10:55,161 --> 00:10:57,872 Inside a secured facility, 189 00:10:57,907 --> 00:10:59,959 Linfa wang is continuing 190 00:11:00,034 --> 00:11:03,399 His long battle to protect humanity from future pandemics. 191 00:11:18,947 --> 00:11:21,272 [narrator] what do these outbreaks have in common? 192 00:11:21,347 --> 00:11:23,679 They're all linked to bats. 193 00:11:37,747 --> 00:11:40,632 [narrator] in 2003, the outbreak of sars, 194 00:11:40,707 --> 00:11:43,232 Or severe acute respiratory syndrome, 195 00:11:43,267 --> 00:11:46,359 Began in a hotel elevator in hong kong. 196 00:12:08,467 --> 00:12:10,432 [narrator] much like covid-19, 197 00:12:10,467 --> 00:12:13,472 Sars was caused by a deadly novel coronavirus 198 00:12:13,481 --> 00:12:15,799 That attacked the airways. 199 00:12:15,874 --> 00:12:19,272 Linfa became part of the world health organization team 200 00:12:19,347 --> 00:12:21,912 Tasked with tracing its source. 201 00:12:21,987 --> 00:12:23,872 After 18 months of field work, 202 00:12:23,907 --> 00:12:26,272 They tracked the virus to a bat cave 203 00:12:26,307 --> 00:12:28,039 In yunnan, china. 204 00:13:14,034 --> 00:13:16,072 [narrator] this colony of cave nectar bats 205 00:13:16,147 --> 00:13:17,472 Provides linfa's team 206 00:13:17,481 --> 00:13:20,992 With controlled healthy bat samples. 207 00:13:21,027 --> 00:13:22,839 Which are destined for an entirely 208 00:13:22,914 --> 00:13:25,039 Different kind of facility. 209 00:13:27,641 --> 00:13:29,792 Where linfa can study what happens 210 00:13:29,827 --> 00:13:32,479 When they are exposed to notorious killers. 211 00:13:57,074 --> 00:14:00,839 [narrator] bsl3 labs contain the viruses behind rabies, 212 00:14:00,914 --> 00:14:03,632 Sars, covid-19 and mers, 213 00:14:03,641 --> 00:14:06,079 Or middle east respiratory syndrome. 214 00:14:07,074 --> 00:14:09,199 [wang] 215 00:14:18,307 --> 00:14:21,072 [narrator] when linfa infected bat and humans cells 216 00:14:21,107 --> 00:14:22,792 With the mers virus, 217 00:14:22,867 --> 00:14:24,992 He discovered special genes in bats 218 00:14:25,001 --> 00:14:26,799 That reduced inflammation. 219 00:14:28,361 --> 00:14:32,072 It seems bats evolved ways to calm their immune system, 220 00:14:32,147 --> 00:14:35,119 Preventing dangerous over-reactions to viruses. 221 00:15:07,961 --> 00:15:10,312 [narrator] it's a hotly debated topic, 222 00:15:10,387 --> 00:15:12,072 But these changes may have done more 223 00:15:12,147 --> 00:15:14,832 Than just help bats tolerate viruses. 224 00:15:14,867 --> 00:15:17,632 They may also have led to viruses 225 00:15:17,667 --> 00:15:19,479 That are more deadly to humans. 226 00:15:21,027 --> 00:15:23,632 It takes a huge amount of energy for a mammal 227 00:15:23,667 --> 00:15:25,479 To be able to fly. 228 00:15:26,434 --> 00:15:28,032 So a bat's metabolism 229 00:15:28,067 --> 00:15:31,232 Or the process of turning food into fuel 230 00:15:31,267 --> 00:15:33,472 Has to be up to five times faster 231 00:15:33,507 --> 00:15:36,592 Than other mammals their size. 232 00:15:36,627 --> 00:15:38,672 From the moment that the bat takes off, 233 00:15:38,681 --> 00:15:42,832 The cells need to pump out a lot more power. 234 00:15:42,867 --> 00:15:47,479 But ramping up the metabolism also generates more heat. 235 00:15:47,554 --> 00:15:48,839 During flight, 236 00:15:48,914 --> 00:15:50,912 A bat's body temperature can sky rocket 237 00:15:50,987 --> 00:15:54,592 To 129 degrees fahrenheit. 238 00:15:54,627 --> 00:15:57,319 Most viruses breakdown at high temperatures. 239 00:15:58,594 --> 00:16:00,992 But some manage to adapt and survive 240 00:16:01,001 --> 00:16:04,079 The punishing conditions inside a bat during flight. 241 00:16:05,667 --> 00:16:07,959 If these heat-adapted viruses find their way 242 00:16:08,034 --> 00:16:09,392 Into human hosts, 243 00:16:09,427 --> 00:16:11,072 It's possible they're already 244 00:16:11,107 --> 00:16:13,952 A big step ahead of our defenses. 245 00:16:13,987 --> 00:16:16,272 The highest fever most of us can generate 246 00:16:16,307 --> 00:16:18,112 Without killing ourselves 247 00:16:18,147 --> 00:16:21,712 Is only 107 degrees fahrenheit 248 00:16:21,747 --> 00:16:24,272 Giving the viruses a better chance of surviving 249 00:16:24,307 --> 00:16:25,999 And making us sick. 250 00:16:28,034 --> 00:16:29,152 Bats can fly, 251 00:16:29,161 --> 00:16:31,919 And that's super unusual for mammals. 252 00:16:33,507 --> 00:16:35,912 They live in lots of ecosystems 253 00:16:35,987 --> 00:16:38,992 And they can move across vast distances. 254 00:16:39,001 --> 00:16:41,232 But these abilities 255 00:16:41,267 --> 00:16:44,879 Also make them able to spread viruses. 256 00:16:45,987 --> 00:16:47,472 [murray] over the last five years 257 00:16:47,507 --> 00:16:49,632 We have been identifying and evaluating bats 258 00:16:49,641 --> 00:16:51,872 In locations that which we would consider 259 00:16:51,907 --> 00:16:53,472 A high-risk interface. 260 00:16:53,507 --> 00:16:55,312 The areas in which people and animals 261 00:16:55,321 --> 00:16:57,279 Are coming into contact more and more. 262 00:16:58,507 --> 00:17:00,672 In 2017, we had several projects 263 00:17:00,707 --> 00:17:03,552 Going on in myanmar at the same time. 264 00:17:03,587 --> 00:17:05,952 [narrator] the smithsonian's global health program, 265 00:17:05,961 --> 00:17:07,432 Led by suzan murray, 266 00:17:07,507 --> 00:17:09,392 Sent a team to rural myanmar 267 00:17:09,427 --> 00:17:12,959 To study the movement of flying foxes, or fruit bats. 268 00:17:16,787 --> 00:17:18,152 [jen kishbaugh] fruit bats are amazing 269 00:17:18,227 --> 00:17:19,872 In terms of seed dispersal. 270 00:17:19,907 --> 00:17:22,752 They've been very, well-documented about helping 271 00:17:22,827 --> 00:17:26,272 With the biodiversity, helping with agriculture. 272 00:17:26,307 --> 00:17:28,472 [narrator] these bats prefer to roost in trees, 273 00:17:28,547 --> 00:17:30,592 Rather than caves. 274 00:17:30,627 --> 00:17:33,072 Which means, they're often found living closer 275 00:17:33,107 --> 00:17:34,599 To human settlements. 276 00:17:35,414 --> 00:17:38,192 We wanted to understand, do they migrate or not? 277 00:17:38,227 --> 00:17:39,152 Where do they go? 278 00:17:39,161 --> 00:17:40,839 Do they cross boundaries? 279 00:17:40,914 --> 00:17:43,799 Do they come in contact with different human villages? 280 00:17:44,647 --> 00:17:47,392 [narrator] the team uses gps tracking collars, 281 00:17:47,427 --> 00:17:49,632 Combined with biological sampling, 282 00:17:49,641 --> 00:17:51,919 To figure out where the bats are going. 283 00:17:53,427 --> 00:17:54,672 [kishbaugh] like most animals, 284 00:17:54,681 --> 00:17:57,232 Bats don't recognize international boundaries. 285 00:17:57,267 --> 00:17:59,479 These guys will go thousands of kilometers 286 00:17:59,554 --> 00:18:00,999 Across their range. 287 00:18:01,074 --> 00:18:02,952 And by knowing where the bats are moving, 288 00:18:03,027 --> 00:18:06,199 That will tie into where the disease is moving. 289 00:18:06,274 --> 00:18:07,752 [narrator] the gps collared bats 290 00:18:07,827 --> 00:18:09,872 Are released back into the night, 291 00:18:09,907 --> 00:18:12,839 With jen and her team tracking their every move. 292 00:18:17,801 --> 00:18:19,632 [kishbaugh] the good thing that came out of this study 293 00:18:19,667 --> 00:18:21,792 Is we were able to identify additional sites. 294 00:18:21,827 --> 00:18:24,272 So there's a lot of different types of exposure pathways. 295 00:18:24,307 --> 00:18:27,152 There's a second area that we would like to work in as well, 296 00:18:27,187 --> 00:18:29,312 That has a very large bat colony 297 00:18:29,347 --> 00:18:30,952 Roosting over a pig farm. 298 00:18:31,027 --> 00:18:33,799 That pig farm is directly in the backyard 299 00:18:33,874 --> 00:18:36,912 Of people that are living in this community. 300 00:18:36,987 --> 00:18:40,992 [narrator] viruses inside bats aren't necessarily a threat, 301 00:18:41,027 --> 00:18:43,639 It's when they leave the bat that they can become a problem. 302 00:18:45,307 --> 00:18:47,152 Zoonotic spillover 303 00:18:47,161 --> 00:18:49,392 Is a term that we use to describe 304 00:18:49,427 --> 00:18:53,472 What happens when a virus within the animal population 305 00:18:53,507 --> 00:18:55,872 Moves over to the human population. 306 00:18:55,907 --> 00:18:58,192 And the real problem here is not just the jumping, 307 00:18:58,201 --> 00:19:00,432 That happens all the time, 308 00:19:00,467 --> 00:19:02,592 It's when it gets to the human population, 309 00:19:02,627 --> 00:19:05,272 And then it starts spreading from human to human, 310 00:19:05,347 --> 00:19:07,392 That's the real problem. 311 00:19:07,427 --> 00:19:09,072 If there's an outbreak in the future, 312 00:19:09,107 --> 00:19:10,952 We'll be able to tie that to 313 00:19:11,027 --> 00:19:13,319 These are the animals that live in this area. 314 00:19:13,394 --> 00:19:15,792 These are the villages that they come into contact with. 315 00:19:15,827 --> 00:19:17,752 That's the sort of thing that we would expect 316 00:19:17,827 --> 00:19:19,919 To learn in the future. 317 00:19:20,627 --> 00:19:23,632 [narrator] and there's another factor at play. 318 00:19:23,667 --> 00:19:25,799 Scientists are discovering that bats release 319 00:19:25,874 --> 00:19:28,592 Even more viruses 320 00:19:28,627 --> 00:19:30,559 When they are under stress. 321 00:19:33,587 --> 00:19:35,632 [narrator] the island of singapore, 322 00:19:35,667 --> 00:19:39,552 Home to over five and 1/2 million people 323 00:19:39,587 --> 00:19:41,879 And tens of thousands of bats. 324 00:19:44,707 --> 00:19:47,712 In such close quarters, scientists are working 325 00:19:47,787 --> 00:19:51,272 To monitor the risk of viral spill over. 326 00:19:51,347 --> 00:19:54,992 Ecosystems are really complex and it's really a challenge 327 00:19:55,001 --> 00:19:59,632 To understand how and why spill over might happen from bats. 328 00:19:59,641 --> 00:20:02,272 What we want is to better understand the when, 329 00:20:02,307 --> 00:20:05,959 The how and the why so we can mitigate risk. 330 00:20:06,034 --> 00:20:08,672 [narrator] for the past ten years, ian mendenhall 331 00:20:08,681 --> 00:20:10,672 Has been working with long-time friend, 332 00:20:10,707 --> 00:20:14,359 Collaborator and bat expert, ben lee. 333 00:20:14,434 --> 00:20:16,992 They've been trying to uncover what causes 334 00:20:17,001 --> 00:20:20,679 Singapore's bats to release more viruses into the ecosystem. 335 00:20:21,607 --> 00:20:23,312 [mendenhall] oh yeah, there's a lot of calls. 336 00:20:23,347 --> 00:20:24,352 -[lee] yeah. -There must be a 337 00:20:24,387 --> 00:20:25,712 Lot of bats inside. 338 00:20:25,747 --> 00:20:28,679 -And, you smell them too, right? -[lee] oh, absolutely. 339 00:20:28,754 --> 00:20:29,752 [narrator] today, 340 00:20:29,827 --> 00:20:32,199 They're sampling a newly discovered roost 341 00:20:32,274 --> 00:20:34,672 Beneath a busy highway overpass. 342 00:20:34,707 --> 00:20:37,872 [lee] come over here. Take a look. 343 00:20:37,907 --> 00:20:40,352 [mendenhall] oh yeah that looks like a healthy colony. 344 00:20:40,387 --> 00:20:43,319 [lee] this is definitely cave nectar bats. 345 00:20:44,787 --> 00:20:46,112 When we look at virus shedding, 346 00:20:46,147 --> 00:20:47,912 We're looking at the number of viruses, 347 00:20:47,987 --> 00:20:50,912 Either in a drop of urine or in guano. 348 00:20:50,947 --> 00:20:53,552 We wanna know when those virus levels are high 349 00:20:53,587 --> 00:20:55,592 And that may correlate to risk 350 00:20:55,667 --> 00:20:58,519 For other animals to encounter these viruses 351 00:20:58,594 --> 00:21:00,512 In the environment. 352 00:21:00,547 --> 00:21:03,392 [mendenhall] lets go unpack our gear and put our ppe on. 353 00:21:03,427 --> 00:21:04,599 [lee] sure. 354 00:21:05,801 --> 00:21:07,152 [narrator] inside this bat roost, 355 00:21:07,161 --> 00:21:10,792 It rains with potentially virus-laden guano. 356 00:21:10,867 --> 00:21:14,239 So full ppe is ben and ian's best protection. 357 00:21:16,547 --> 00:21:18,192 [mendenhall] you can hear their alarm calls. 358 00:21:18,201 --> 00:21:19,239 [lee] yeah. 359 00:21:20,201 --> 00:21:21,799 Oh, its already collecting. 360 00:21:24,107 --> 00:21:25,392 [mendenhall] once we're inside the roost, 361 00:21:25,427 --> 00:21:27,159 It's really an intense experience 362 00:21:27,234 --> 00:21:28,912 Because the bats are flying around 363 00:21:28,947 --> 00:21:30,992 'cause they're a bit alarmed and you can feel 364 00:21:31,027 --> 00:21:33,319 The urine and feces hitting your tivex suit. 365 00:21:34,627 --> 00:21:36,432 [narrator] while their board collects samples, 366 00:21:36,467 --> 00:21:40,079 They use a thermal camera to gauge the status of the colony. 367 00:21:41,347 --> 00:21:43,079 [lee] 368 00:21:48,547 --> 00:21:52,632 [narrator] normally, viruses are safely contained within the bat, 369 00:21:52,707 --> 00:21:54,432 But under certain circumstances, 370 00:21:54,467 --> 00:21:57,312 They are released into the world. 371 00:21:57,347 --> 00:21:59,799 We know that bats can shed viruses 372 00:21:59,874 --> 00:22:02,192 At different amounts and at different times. 373 00:22:02,227 --> 00:22:04,432 Some things it can be in relation to 374 00:22:04,507 --> 00:22:05,952 Is the time of the year, 375 00:22:05,961 --> 00:22:08,432 The availability of food resources 376 00:22:08,467 --> 00:22:10,032 Or cutting down a forest 377 00:22:10,067 --> 00:22:12,832 And other stressors such as giving birth. 378 00:22:12,867 --> 00:22:15,912 Those are physiological stressful events 379 00:22:15,987 --> 00:22:18,832 That can lead to increased viral shedding. 380 00:22:18,841 --> 00:22:23,312 That's when we need to take notice and step back 381 00:22:23,347 --> 00:22:25,119 And not be around bats. 382 00:22:26,307 --> 00:22:27,632 [lee] should we take this out? 383 00:22:27,667 --> 00:22:28,999 [mendenhall] yeah, I think its time. 384 00:22:29,074 --> 00:22:32,032 Looks like a jackson pollock painting. 385 00:22:32,067 --> 00:22:34,519 [narrator] each drop of excrement provides a window 386 00:22:34,594 --> 00:22:37,472 Into the viral ecosystem of these bats. 387 00:22:37,507 --> 00:22:38,992 [mendenhall] during the course of our research, 388 00:22:39,027 --> 00:22:40,792 Almost nine years here in singapore, 389 00:22:40,867 --> 00:22:43,952 We found the bats have a wide diversity of viruses. 390 00:22:43,987 --> 00:22:48,032 So we've seen astrovirses, herpesviruses and poxviruses. 391 00:22:48,067 --> 00:22:50,072 We found adenoviruses 392 00:22:50,147 --> 00:22:52,312 We have also found a really diverse pool 393 00:22:52,387 --> 00:22:54,079 Of bat coronaviruses. 394 00:22:55,481 --> 00:22:58,832 [narrator] studies like this take years of hard work, 395 00:22:58,867 --> 00:23:01,592 But these discoveries could help reduce the risk 396 00:23:01,667 --> 00:23:03,872 Of future zoonotic outbreaks. 397 00:23:03,907 --> 00:23:05,799 [mendenhall] really when they're shedding highest, 398 00:23:05,874 --> 00:23:07,472 That's when the risk may be highest 399 00:23:07,507 --> 00:23:09,312 For spill over to humans and the other animals. 400 00:23:09,347 --> 00:23:11,712 And it's really important to understand 401 00:23:11,747 --> 00:23:13,632 When we should be putting most of our resources 402 00:23:13,667 --> 00:23:16,119 Into surveillance to try and minimize spill over. 403 00:23:17,747 --> 00:23:19,319 Lets put these in a safe place. 404 00:23:21,001 --> 00:23:22,512 [narrator] we know viruses are shed 405 00:23:22,547 --> 00:23:25,272 When bats are stressed or disturbed. 406 00:23:25,347 --> 00:23:28,432 And there's one force of nature more stress-inducing 407 00:23:28,467 --> 00:23:30,039 Than any other. 408 00:23:33,187 --> 00:23:34,792 We are the ones, 409 00:23:34,867 --> 00:23:38,112 That cause this unique set of circumstances 410 00:23:38,147 --> 00:23:40,912 That allows diseases to spill over. 411 00:23:40,947 --> 00:23:44,032 The bad news is we're putting ourselves 412 00:23:44,067 --> 00:23:46,912 Into high-risk situations. 413 00:23:46,947 --> 00:23:48,352 [narrator] these risks are increasing 414 00:23:48,387 --> 00:23:51,392 As humanity pushes further into the wild 415 00:23:51,467 --> 00:23:53,439 And becomes ever more connected. 416 00:23:54,987 --> 00:23:57,639 [murray] the research has shown that spill over events 417 00:23:57,714 --> 00:23:59,959 Are becoming more and more frequent. 418 00:24:00,034 --> 00:24:02,359 But there are a huge number of factors 419 00:24:02,434 --> 00:24:04,839 That need to fall into place just so 420 00:24:04,914 --> 00:24:06,832 In order for a spill over to 421 00:24:06,867 --> 00:24:09,199 Become an epidemic or a pandemic. 422 00:24:11,747 --> 00:24:13,319 [narrator] back in 2017, 423 00:24:13,394 --> 00:24:16,672 The team from smithsonian's global health program, 424 00:24:16,681 --> 00:24:19,632 Carried out another project in myanmar. 425 00:24:19,667 --> 00:24:22,912 This time at a set of caves where humans and wild bats 426 00:24:22,947 --> 00:24:25,952 Were interfacing on a daily basis. 427 00:24:25,961 --> 00:24:28,032 The smithsonian had been working and operating 428 00:24:28,107 --> 00:24:30,032 In myanmar for the last 20 years. 429 00:24:30,067 --> 00:24:32,359 In linno caves, one of the big issues 430 00:24:32,434 --> 00:24:35,279 Is the increased interaction with animals in the wild. 431 00:24:37,107 --> 00:24:38,832 We have identified this location 432 00:24:38,867 --> 00:24:41,472 Because there's a number of cave systems here. 433 00:24:41,507 --> 00:24:44,352 There's well over 500 thousand bats, 434 00:24:44,387 --> 00:24:46,512 Roosting every day. 435 00:24:46,547 --> 00:24:48,632 At each cave site, there's usually 436 00:24:48,707 --> 00:24:50,512 A family that lives there. 437 00:24:50,547 --> 00:24:54,032 Part of their livelihood, is based on guano collection 438 00:24:54,067 --> 00:24:56,999 From the bats for fertilizers. 439 00:24:57,074 --> 00:24:58,472 This is a concern for us, 440 00:24:58,547 --> 00:25:00,832 Because there is so much potential 441 00:25:00,867 --> 00:25:03,872 For people that are interacting with the bats 442 00:25:03,907 --> 00:25:07,072 To be exposed to communicable diseases. 443 00:25:07,107 --> 00:25:10,352 [narrator] this isn't just a risk for one individual, 444 00:25:10,361 --> 00:25:12,112 Bringing a virus out of this cave 445 00:25:12,147 --> 00:25:14,592 Could pose a threat to the community, 446 00:25:14,667 --> 00:25:16,359 If not the world. 447 00:25:16,434 --> 00:25:18,912 The team is here to find out if any viruses 448 00:25:18,947 --> 00:25:21,792 Are spilling over from bats into the people 449 00:25:21,827 --> 00:25:24,112 Or their livestock. 450 00:25:24,147 --> 00:25:26,192 [valitutto] there's a large chance that these species 451 00:25:26,227 --> 00:25:28,032 Will be sharing viruses with the people 452 00:25:28,107 --> 00:25:31,792 That come and interact with these various wildlife. 453 00:25:31,827 --> 00:25:35,872 We are evaluating for the first time in this country 454 00:25:35,907 --> 00:25:38,432 The viruses that originate in these species 455 00:25:38,467 --> 00:25:42,519 And how they may transfer to livestock and humans. 456 00:25:49,027 --> 00:25:52,032 We can take the information that we're discovered and say, 457 00:25:52,067 --> 00:25:55,752 "hey maybe we shouldn't be collecting guano anymore, 458 00:25:55,827 --> 00:25:57,592 At least from this cave site. 459 00:25:57,667 --> 00:26:00,359 Maybe we should have stronger rules about poaching. 460 00:26:00,434 --> 00:26:02,832 Maybe we should have rangers in the parks 461 00:26:02,867 --> 00:26:04,079 To help prevent it." 462 00:26:06,521 --> 00:26:08,672 [narrator] the smithsonian global health team 463 00:26:08,707 --> 00:26:10,839 Made some interesting discoveries 464 00:26:10,914 --> 00:26:14,672 But the results also posed a new mystery. 465 00:26:14,707 --> 00:26:17,959 In the caves in myanmar, we did find new coronaviruses. 466 00:26:18,034 --> 00:26:20,992 But, it doesn't mean that all of those or any of them, 467 00:26:21,027 --> 00:26:22,679 Will cause a problem. 468 00:26:24,667 --> 00:26:26,512 [narrator] six previously unknown 469 00:26:26,547 --> 00:26:28,632 Coronaviruses were discovered, 470 00:26:28,707 --> 00:26:32,839 However there was no sign of outbreaks in the local people. 471 00:26:32,914 --> 00:26:35,312 Something else must be needed for viruses 472 00:26:35,347 --> 00:26:37,319 To jump from bats to humans. 473 00:26:42,707 --> 00:26:44,919 [narrator] deadly outbreaks are on the rise 474 00:26:46,867 --> 00:26:50,399 And all evidence points to bats as major virus carriers. 475 00:26:51,507 --> 00:26:53,792 Now experts are racing to uncover 476 00:26:53,827 --> 00:26:56,112 Why only certain bat viruses 477 00:26:56,147 --> 00:26:57,879 Can jump species. 478 00:27:06,274 --> 00:27:07,792 [narrator] for a virus, 479 00:27:07,827 --> 00:27:09,632 Shedding from a bat and coming into contact 480 00:27:09,667 --> 00:27:11,799 With a new host is easy. 481 00:27:11,874 --> 00:27:14,592 After that, things get tricky. 482 00:27:14,627 --> 00:27:17,152 They need to infect the new host's cells, 483 00:27:17,161 --> 00:27:19,799 Replicate and spread to other hosts. 484 00:27:30,467 --> 00:27:35,072 [narrator] coronaviruses need keys to unlock a host's cells. 485 00:27:35,107 --> 00:27:38,512 These keys are spike proteins. 486 00:27:38,547 --> 00:27:41,639 And different species require different keys. 487 00:27:43,027 --> 00:27:45,479 The genes to build these spike proteins 488 00:27:45,554 --> 00:27:47,959 Are contained in the virus's rna. 489 00:27:48,867 --> 00:27:50,472 Without the correct genes, 490 00:27:50,547 --> 00:27:53,999 This bat-borne virus poses little threat to other species. 491 00:27:55,747 --> 00:27:59,039 However, viruses are highly adaptive. 492 00:28:01,074 --> 00:28:02,999 The genetic material inside the virus 493 00:28:03,074 --> 00:28:05,072 Can re-assort and change around, 494 00:28:05,107 --> 00:28:07,152 And come back as a new variety that can 495 00:28:07,161 --> 00:28:09,432 Transmit between species. 496 00:28:09,507 --> 00:28:11,159 [narrator] this process of acquiring 497 00:28:11,234 --> 00:28:13,632 The right genes isn't easy, 498 00:28:13,641 --> 00:28:16,599 But coronaviruses have found a cunning shortcut. 499 00:28:18,067 --> 00:28:20,999 Inside the bat cell, the coronavirus releases 500 00:28:21,074 --> 00:28:24,792 Its genetic material to start replicating itself. 501 00:28:24,867 --> 00:28:27,639 At this point, the virus lacks the right genes 502 00:28:27,714 --> 00:28:29,159 To infect humans. 503 00:28:29,234 --> 00:28:32,512 But that is about to change. 504 00:28:32,521 --> 00:28:35,712 In a moment of random chance, a different coronavirus 505 00:28:35,747 --> 00:28:40,359 Containing the missing genes enters the same cell. 506 00:28:40,434 --> 00:28:44,992 As the two viruses replicate, their genes can swap around. 507 00:28:45,001 --> 00:28:47,392 By themselves these viruses can't create 508 00:28:47,427 --> 00:28:50,079 The right spike proteins to enter our cells. 509 00:28:51,641 --> 00:28:55,632 But by combining their genes, they've formed a new virus 510 00:28:55,641 --> 00:28:57,919 With the power to infect humans. 511 00:28:59,874 --> 00:29:02,199 Once this altered virus replicates itself 512 00:29:02,274 --> 00:29:03,752 And sheds from the bat, 513 00:29:03,827 --> 00:29:06,799 It could be the start of the next pandemic. 514 00:29:08,467 --> 00:29:12,752 We really worry about these viruses that are able to adapt 515 00:29:12,787 --> 00:29:17,232 And change a bit more rapidly than some other viruses. 516 00:29:17,307 --> 00:29:19,632 And if that happens, and it's the right mutation, 517 00:29:19,667 --> 00:29:21,792 Or in this case, the wrong mutation, 518 00:29:21,827 --> 00:29:25,632 It can then start spreading throughout the population. 519 00:29:25,641 --> 00:29:28,352 [narrator] coronaviruses play this genetic lottery 520 00:29:28,387 --> 00:29:30,599 In a variety of animal hosts. 521 00:29:32,387 --> 00:29:34,112 But some scientists believe 522 00:29:34,187 --> 00:29:36,072 That one special feature in bats 523 00:29:36,147 --> 00:29:39,272 Gives coronaviruses more chances to mutate 524 00:29:39,347 --> 00:29:41,039 In order to hit the jackpot. 525 00:29:42,227 --> 00:29:44,399 [wang] 526 00:29:50,867 --> 00:29:52,032 For example, 527 00:29:52,067 --> 00:29:55,272 A seven gram bat can live 43 years 528 00:29:55,347 --> 00:29:58,999 And I always say, one bat year is 20 to 30 human years. 529 00:29:59,074 --> 00:30:03,792 So 43 times 30, you will be a thousand-year-old human. 530 00:30:03,827 --> 00:30:05,039 Imagine that. 531 00:30:07,747 --> 00:30:09,792 [narrator] bats living for decades 532 00:30:09,801 --> 00:30:14,192 May make them natural incubators for zoonotic viruses. 533 00:30:14,227 --> 00:30:16,992 But for these viruses to reach humans 534 00:30:17,027 --> 00:30:19,639 They often need some kind of stepping stone. 535 00:30:24,547 --> 00:30:27,752 An ongoing study in rural cambodia is revealing 536 00:30:27,827 --> 00:30:30,752 That as our global need for domestic animals grows, 537 00:30:30,787 --> 00:30:34,032 So does the risk of zoonotic outbreaks. 538 00:30:34,067 --> 00:30:37,072 [erik karlsson] every single human seasonal influenza virus, 539 00:30:37,107 --> 00:30:38,519 Avian influenza virus, 540 00:30:38,594 --> 00:30:40,519 Even human seasonal coronaviruses. 541 00:30:40,594 --> 00:30:43,912 So the things that came before sars and sars-cov-2, 542 00:30:43,987 --> 00:30:46,672 Those went through domestic animals, 543 00:30:46,681 --> 00:30:48,039 Before they got to humans. 544 00:30:49,747 --> 00:30:51,639 [narrator] for the past nine years, 545 00:30:51,714 --> 00:30:53,152 Erik karlsson has been tracking 546 00:30:53,187 --> 00:30:55,592 How domestic birds spread viruses, 547 00:30:55,667 --> 00:30:57,952 Like avian influenza. 548 00:30:57,987 --> 00:30:59,799 [karlsson] we're particularly interested in how 549 00:30:59,874 --> 00:31:00,999 The domestic animals 550 00:31:01,074 --> 00:31:03,072 Are actually moving around the country. 551 00:31:03,107 --> 00:31:05,479 Because that's a really important part of how the virus 552 00:31:05,554 --> 00:31:08,199 Might be moving around the country as well. 553 00:31:08,274 --> 00:31:09,639 When we have a virus that jumps 554 00:31:09,714 --> 00:31:11,552 Into the domestic animal population 555 00:31:11,627 --> 00:31:13,712 From a bat or bird, 556 00:31:13,747 --> 00:31:16,912 That can then amplify in those domestic animals 557 00:31:16,947 --> 00:31:18,639 And then become a risk for humans. 558 00:31:21,747 --> 00:31:24,112 [narrator] here, wild and domestic animals 559 00:31:24,147 --> 00:31:25,679 Often come into contact. 560 00:31:27,107 --> 00:31:30,679 If a wild virus jumps into the livestock population, 561 00:31:30,754 --> 00:31:33,839 Erik needs to know all the ways that virus could spread. 562 00:31:35,801 --> 00:31:40,199 To do that he needs help from industry insiders. 563 00:31:40,274 --> 00:31:42,512 [karlsson] middlemen are the ones that actually transport 564 00:31:42,547 --> 00:31:44,832 The poultry either from small farms 565 00:31:44,841 --> 00:31:47,759 Or from other countries even into the markets. 566 00:31:49,987 --> 00:31:52,952 [narrator] today, piseth and his wife pheaktra 567 00:31:53,027 --> 00:31:56,919 Are taking the team to assess a previously unknown bird farm. 568 00:31:58,307 --> 00:31:59,959 [speaking in foreign language] 569 00:32:01,627 --> 00:32:03,232 [karlsson] who knows how many animals are here, 570 00:32:03,307 --> 00:32:05,392 How many animals are coming through these areas 571 00:32:05,427 --> 00:32:07,759 And how much virus could actually be circulating within. 572 00:32:09,107 --> 00:32:11,312 Spillover events are always occurring 573 00:32:11,347 --> 00:32:13,872 Between wildlife and domestic animals, 574 00:32:13,907 --> 00:32:16,672 Humans and domestic animals, humans and wildlife. 575 00:32:16,681 --> 00:32:18,672 But it doesn't really mushroom into 576 00:32:18,681 --> 00:32:21,272 An epidemic or a pandemic until 577 00:32:21,347 --> 00:32:24,199 It can be amplified and spread within human species. 578 00:32:24,274 --> 00:32:25,799 [clucking] 579 00:32:25,874 --> 00:32:27,872 [narrator] middlemen bouncing between bird farms 580 00:32:27,947 --> 00:32:30,632 Are pathways that viruses can use to mix, 581 00:32:30,707 --> 00:32:32,752 Spread and amplify. 582 00:32:32,787 --> 00:32:36,272 But the bigger concern is where all these paths 583 00:32:36,347 --> 00:32:38,912 Eventually lead. 584 00:32:38,947 --> 00:32:41,479 The nearest bat might be over a 100 miles away. 585 00:32:43,187 --> 00:32:45,312 But thanks to our livestock networks, 586 00:32:45,321 --> 00:32:47,912 There are zoonotic viruses ending up in places 587 00:32:47,987 --> 00:32:51,072 Where they can amplify and infect humans. 588 00:32:51,107 --> 00:32:53,432 [murray] whether it's a pig or a chicken, 589 00:32:53,507 --> 00:32:55,912 People tend to bring live animals into the market. 590 00:32:55,987 --> 00:32:58,159 And then you can have a mixing bowl right there. 591 00:33:01,747 --> 00:33:03,872 [narrator] the high density of potential hosts, 592 00:33:03,907 --> 00:33:05,152 Stressful environment, 593 00:33:05,161 --> 00:33:07,712 And less than hygienic conditions 594 00:33:07,747 --> 00:33:11,799 Make it a perfect place for a super-spreader event. 595 00:33:11,874 --> 00:33:13,552 [karlsson] we do find a lot of viruses 596 00:33:13,627 --> 00:33:15,272 In these ducks in takeo. 597 00:33:15,347 --> 00:33:17,072 We do actually come to this market 598 00:33:17,107 --> 00:33:18,672 And take samples from the people 599 00:33:18,681 --> 00:33:21,999 To see if they're exposed to any avian influenza as well. 600 00:33:23,161 --> 00:33:25,072 [narrator] domesticating and selling animals 601 00:33:25,107 --> 00:33:26,672 Is an ancient practice. 602 00:33:26,681 --> 00:33:29,712 But now expanding livestock populations 603 00:33:29,747 --> 00:33:31,632 In an ever more connected world, 604 00:33:31,667 --> 00:33:34,592 Could be giving rise to more outbreaks. 605 00:33:34,667 --> 00:33:38,352 Something erik is working with local officials to prevent. 606 00:33:38,387 --> 00:33:40,992 So we have a very big baseline now, 607 00:33:41,027 --> 00:33:44,632 We know things like avian influenza are actually 608 00:33:44,707 --> 00:33:47,799 More prevalent at times like festival periods. 609 00:33:47,874 --> 00:33:51,712 More people are buying birds and that allows us to target 610 00:33:51,787 --> 00:33:54,472 Our interventions at that time of year. 611 00:33:54,547 --> 00:33:56,152 We're actually working with these sellers 612 00:33:56,227 --> 00:33:57,712 To improve the market 613 00:33:57,747 --> 00:33:59,799 To make it a more bio safe and bio-secure area. 614 00:34:03,001 --> 00:34:04,679 [narrator] thanks to human activity, 615 00:34:04,754 --> 00:34:08,199 Outbreaks that once stayed local are now going global 616 00:34:08,274 --> 00:34:10,672 With devastating consequences. 617 00:34:10,681 --> 00:34:13,392 I don't want people to be afraid, 618 00:34:13,427 --> 00:34:15,639 But this is why I think we can, 619 00:34:15,714 --> 00:34:18,632 And need to learn about all of these things 620 00:34:18,707 --> 00:34:21,432 And help people manage 621 00:34:21,507 --> 00:34:24,112 Their risk and their communities' risk. 622 00:34:24,147 --> 00:34:25,799 And now we know, 623 00:34:25,874 --> 00:34:27,279 That's the world's risk. 624 00:34:29,507 --> 00:34:31,272 [narrator] the covid-19 pandemic 625 00:34:31,347 --> 00:34:33,799 Brought the world to a standstill. 626 00:34:33,874 --> 00:34:36,512 But one team in lockdown has come up with a way 627 00:34:36,547 --> 00:34:39,639 To uncover how this virus might have evolved. 628 00:34:45,987 --> 00:34:49,312 [murray] people often say the best way to predict the future 629 00:34:49,347 --> 00:34:50,839 Is to understand the past. 630 00:34:54,067 --> 00:34:55,952 [narrator] at the smithsonian institution, 631 00:34:55,987 --> 00:34:58,832 A bold experiment devised during lockdown, 632 00:34:58,867 --> 00:35:02,032 May now help researchers discover new viruses 633 00:35:02,067 --> 00:35:05,872 Without ever needing to travel into the field. 634 00:35:05,907 --> 00:35:09,319 Today, two scientists have been given special permission 635 00:35:09,394 --> 00:35:12,512 To sample the largest bat collection on earth. 636 00:35:12,521 --> 00:35:14,632 We have all of these bats 637 00:35:14,707 --> 00:35:17,432 That might be holding coronaviruses. 638 00:35:17,507 --> 00:35:22,272 We have animals that span from the late 1800s to 2020. 639 00:35:22,307 --> 00:35:25,872 Each specimen has its own unique story. 640 00:35:25,947 --> 00:35:28,072 [narrator] these long-dead bat specimens 641 00:35:28,147 --> 00:35:31,232 Offer a rich source of information about when, 642 00:35:31,267 --> 00:35:35,872 How, and where bat coronaviruses evolved. 643 00:35:35,947 --> 00:35:39,232 These historical patterns could one day help scientists 644 00:35:39,307 --> 00:35:42,319 Build models that predict future outbreaks. 645 00:35:46,867 --> 00:35:48,432 -Hey, missy. Good morning. -[missy] hey. Good morning. 646 00:35:48,467 --> 00:35:49,872 It's good to see you. 647 00:35:49,907 --> 00:35:52,432 Yeah it's been a long time. I'd give you a hug normally, 648 00:35:52,467 --> 00:35:54,272 But I guess we'll stay far apart. 649 00:35:54,307 --> 00:35:55,519 Not today, yeah. 650 00:35:58,867 --> 00:36:01,319 [hawkins] this project is really exciting because for one 651 00:36:01,394 --> 00:36:03,392 It brings together a lot of researchers 652 00:36:03,467 --> 00:36:06,672 That have expertise in different areas. 653 00:36:06,707 --> 00:36:09,792 [narrator] this experiment needs missy's knowledge of the past 654 00:36:09,801 --> 00:36:12,272 And carly's ability to wield state of the art 655 00:36:12,307 --> 00:36:15,432 Genetic detection tools. 656 00:36:15,507 --> 00:36:18,832 [hawkins] okay, carly, welcome to the bat collections. 657 00:36:18,867 --> 00:36:20,912 [muletz-wolz] this is incredible. 658 00:36:20,947 --> 00:36:23,752 [narrator] with over 138,000 bats, 659 00:36:23,827 --> 00:36:26,432 This collection may well hold the secrets 660 00:36:26,467 --> 00:36:28,832 Of coronavirus evolution. 661 00:36:28,841 --> 00:36:32,112 Missy just has to figure out where to start looking. 662 00:36:32,147 --> 00:36:35,632 We had a lot of samples that came back from myanmar, 663 00:36:35,667 --> 00:36:38,312 Which shares quite a long border with china. 664 00:36:38,387 --> 00:36:42,832 So we figured they might be a great place to start. 665 00:36:42,841 --> 00:36:45,799 [narrator] if a bat contains any viruses related to killers 666 00:36:45,874 --> 00:36:47,392 Like sars-cov-2, 667 00:36:47,427 --> 00:36:48,992 Then wherever it was collected 668 00:36:49,027 --> 00:36:51,439 May be a high risk for spill over. 669 00:36:53,747 --> 00:36:55,432 [hawkins] did you find one? 670 00:36:55,507 --> 00:36:57,952 [muletz-wolz] oh I think I did, the rhinolophus from myanmar? 671 00:36:57,987 --> 00:37:00,079 -Perfect. -Okay, set it on the tray. 672 00:37:01,907 --> 00:37:04,359 [narrator] while this method might be easier and safer 673 00:37:04,434 --> 00:37:06,432 Than catching bats in the wild, 674 00:37:06,467 --> 00:37:09,152 Its much harder to find the viruses. 675 00:37:09,161 --> 00:37:11,959 If we think about all if the 100 years 676 00:37:12,034 --> 00:37:13,799 Sitting in a jar and degradation, 677 00:37:13,874 --> 00:37:16,272 Its more likely that we'll need to sample 678 00:37:16,307 --> 00:37:20,279 Up to a 100 samples for us to get one positive. 679 00:37:21,507 --> 00:37:23,232 Okay so the first thing we're gonna do 680 00:37:23,307 --> 00:37:25,959 Is get the bats out. 681 00:37:26,034 --> 00:37:29,472 All right, going in, they look kinda scary... 682 00:37:29,507 --> 00:37:30,992 [hawkins chuckles] 683 00:37:31,001 --> 00:37:32,592 He does they do look a little fearsome I guess, 684 00:37:32,627 --> 00:37:34,832 [muletz-wolz] let the alcohol drip off? 685 00:37:34,867 --> 00:37:38,199 Okay, hey buddy, do you have a coronavirus in there? 686 00:37:40,307 --> 00:37:42,632 [hawkins] they're just so cool. 687 00:37:42,707 --> 00:37:45,712 So just grab by his torso, not by the wing. 688 00:37:45,747 --> 00:37:47,232 [muletz-wolz] does that look good? 689 00:37:47,267 --> 00:37:48,839 -[hawkins] yup. -[muletz-wolz] okay. 690 00:37:48,914 --> 00:37:51,072 So this is a hippodiderous. 691 00:37:51,107 --> 00:37:54,032 [narrator] unravelling how coronaviruses evolved 692 00:37:54,067 --> 00:37:55,792 Over the course of a century, 693 00:37:55,827 --> 00:37:57,792 Could help us predict their evolution 694 00:37:57,827 --> 00:37:59,912 In the years to come. 695 00:37:59,987 --> 00:38:02,192 [hawkins] one of my favorite things about bats is that 696 00:38:02,227 --> 00:38:05,152 -This is their thumb. -Wow. 697 00:38:05,161 --> 00:38:09,392 So their wing is actually all the same bones as your hand 698 00:38:09,427 --> 00:38:13,752 So it's like their doing jazz hands when they fly. 699 00:38:13,827 --> 00:38:16,432 [narrator] it may have been dead over 100 years, 700 00:38:16,467 --> 00:38:20,632 But this bat could still provide vital information. 701 00:38:20,707 --> 00:38:23,319 What tissues are we going to sample today? 702 00:38:23,394 --> 00:38:25,552 We know that this causes respiratory infections, 703 00:38:25,587 --> 00:38:27,799 So we definitely want the lungs. 704 00:38:30,467 --> 00:38:33,679 We just need 50 micrograms. 705 00:38:34,667 --> 00:38:36,272 Oh, look at that! Right on the money. 706 00:38:36,347 --> 00:38:38,592 -Wow! -Right on the money. 707 00:38:38,667 --> 00:38:40,999 Perfect cut. 708 00:38:41,074 --> 00:38:43,112 Thank you, bat. 709 00:38:43,187 --> 00:38:45,239 Back in your jar you go. 710 00:38:46,947 --> 00:38:49,632 [narrator] now it's over to carly to spend months 711 00:38:49,667 --> 00:38:51,912 Painstakingly trying to extract 712 00:38:51,987 --> 00:38:54,079 Any coronaviruses from the samples. 713 00:38:56,147 --> 00:38:57,639 [murray] no matter what they find, 714 00:38:57,714 --> 00:39:00,272 It will add to the body of scientific knowledge 715 00:39:00,307 --> 00:39:02,999 And inform some of our future studies. 716 00:39:03,074 --> 00:39:06,912 We are well on our way to gaining the information 717 00:39:06,987 --> 00:39:09,159 That we need to prevent to next pandemic. 718 00:39:11,027 --> 00:39:14,519 [narrator] the more links we find between bats and viruses, 719 00:39:14,594 --> 00:39:17,119 The more the public's fear of bats grows. 720 00:39:18,787 --> 00:39:21,312 [mazet] with terrible disease outbreaks, 721 00:39:21,321 --> 00:39:22,672 It is human nature 722 00:39:22,707 --> 00:39:26,672 To want to find something to vilify. 723 00:39:26,707 --> 00:39:30,839 I think it's really dangerous that we do that. 724 00:39:30,914 --> 00:39:33,392 [narrator] in the face of a deadly pandemic, 725 00:39:33,427 --> 00:39:36,079 It's easy to forget why we need bats. 726 00:39:51,027 --> 00:39:52,352 [fran hutchins] here in texas, 727 00:39:52,361 --> 00:39:54,992 We manage bracken cave preserve, 728 00:39:55,027 --> 00:39:57,712 It's 1500-acre preserve protecting 729 00:39:57,747 --> 00:39:59,919 The largest colony of bats in the world. 730 00:40:01,641 --> 00:40:03,872 Just that one colony of bats 731 00:40:03,907 --> 00:40:07,639 Is eating 147 tons of bugs a night. 732 00:40:07,714 --> 00:40:12,272 That's worth about $800,000 a season in pesticides 733 00:40:12,307 --> 00:40:15,879 That the farmer doesn't have to buy to spray on their crops. 734 00:40:19,027 --> 00:40:22,632 [narrator] the human race faces an interesting dilemma. 735 00:40:22,707 --> 00:40:23,792 We can't lose bats 736 00:40:23,827 --> 00:40:27,312 Because it will do us more harm than good. 737 00:40:27,347 --> 00:40:31,272 We can't stress them because they may shed more viruses. 738 00:40:31,347 --> 00:40:33,432 And we can't avoid them 739 00:40:33,507 --> 00:40:36,672 Because we're building deeper into their habitats. 740 00:40:36,707 --> 00:40:39,752 It's not as simple as saying "what species did it come from? 741 00:40:39,827 --> 00:40:42,672 Let's get rid of that species" it's quite the opposite. 742 00:40:42,681 --> 00:40:44,832 It's to find out what that animal is, 743 00:40:44,867 --> 00:40:46,432 And in this case bats 744 00:40:46,507 --> 00:40:49,552 And recognizing all the great things that bats do 745 00:40:49,587 --> 00:40:52,079 And how do we safely learn to live with bats? 746 00:40:54,754 --> 00:40:56,992 [narrator] one city may have stumbled on a way 747 00:40:57,027 --> 00:41:00,679 Of reducing the stress on bats caused by habitat loss. 748 00:41:02,147 --> 00:41:04,679 [hutchins] the biggest struggle that bats have with humans 749 00:41:04,754 --> 00:41:06,432 And humans have with bats 750 00:41:06,467 --> 00:41:09,072 Is the interaction that we're having with them 751 00:41:09,107 --> 00:41:11,472 As we move into where they live 752 00:41:11,507 --> 00:41:13,799 Because we're destroying their habitat. 753 00:41:13,874 --> 00:41:16,832 We need the bats as much as they need us. 754 00:41:16,867 --> 00:41:19,519 And we really need to learn how to live together. 755 00:41:21,667 --> 00:41:23,392 Back in the early 80s, 756 00:41:23,427 --> 00:41:25,152 Texas department of transportation 757 00:41:25,187 --> 00:41:26,839 Widened congress avenue 758 00:41:26,914 --> 00:41:28,992 And when they were building that new bridge structure 759 00:41:29,001 --> 00:41:32,199 What they didn't realize at that time was, 760 00:41:32,274 --> 00:41:34,439 It was the perfect habitat 761 00:41:35,827 --> 00:41:37,439 For the mexican free-tail bats. 762 00:41:44,547 --> 00:41:47,639 You can see up here in the expansion joints, 763 00:41:47,714 --> 00:41:50,952 Where the bats are roosting, between the beams. 764 00:41:51,027 --> 00:41:54,832 We have about a million and 1/2 mexican free tail bats 765 00:41:54,867 --> 00:41:56,592 Right above our heads here. 766 00:41:56,667 --> 00:41:57,952 [narrator] this bridge houses 767 00:41:57,987 --> 00:42:01,072 The largest urban bat colony in the world. 768 00:42:01,107 --> 00:42:04,839 [hutchins] they basically built a penthouse over the river 769 00:42:04,914 --> 00:42:06,999 With a great view of the capital, 770 00:42:07,074 --> 00:42:12,032 They use the river to get out of town to forage for food. 771 00:42:12,067 --> 00:42:14,112 Just to see the excitement on people's faces 772 00:42:14,147 --> 00:42:16,912 When they finally get to see a bat fly, 773 00:42:16,947 --> 00:42:19,599 This amazing spectacle of nature. 774 00:42:21,907 --> 00:42:23,952 [narrator] bats may be the source of some 775 00:42:23,961 --> 00:42:27,159 Zoonotic outbreaks, but they're not the cause. 776 00:42:27,234 --> 00:42:30,072 Finding ways to reduce our impact on bats 777 00:42:30,147 --> 00:42:33,599 Could be one way of preventing future pandemics. 778 00:42:53,587 --> 00:42:57,479 [narrator] covid-19's rising death toll and estimated cost 779 00:42:57,554 --> 00:42:59,959 Of nearly $30 trillion 780 00:43:00,034 --> 00:43:02,432 Has rallied scientific collaborations 781 00:43:02,467 --> 00:43:04,152 On a global scale 782 00:43:04,227 --> 00:43:06,559 And forever redefined how we approach 783 00:43:07,347 --> 00:43:08,312 Global health. 784 00:43:08,387 --> 00:43:10,359 [wang] 785 00:43:28,361 --> 00:43:32,112 Now we need to remember forever 786 00:43:32,147 --> 00:43:33,632 That we have to be looking 787 00:43:33,667 --> 00:43:35,312 Further out in the future 788 00:43:35,347 --> 00:43:37,872 And all of the ways we interact with the hosts 789 00:43:37,907 --> 00:43:40,519 That might carry the next pandemic 790 00:43:40,594 --> 00:43:42,799 And some of those are probably bats. 791 00:43:43,447 --> 00:43:45,112 [murray] well, a lot of folks have been studying bats 792 00:43:45,187 --> 00:43:47,232 But now it's time for us all together 793 00:43:47,267 --> 00:43:49,552 To share the information we're gathering. 794 00:43:49,587 --> 00:43:50,679 So if anything, 795 00:43:50,754 --> 00:43:53,552 The reason to study bats is only ramping up. 796 00:43:53,587 --> 00:43:54,799 There's so much more to learn. 64608

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