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more than 38 million cases
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Of covid-19have been confirmed worldwide.
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Authorities are still trying to zero in
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On the starting point for this virus.
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covid-19 is just a latest example of a deadly
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Viral disease jumping from animals to people.
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today,
more and more wild viruses
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Are spilling into humans.
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If we don't find a way to stop them,
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Our very survival could be at stake.
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with covid,
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We've seen how devastating this virus is,
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If we wanna prevent
a pandemic from happening,
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We really need to figure out how this virus came about
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So we can prevent these things in the future.
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[narrator] covid-19's origin
is still a mystery.
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But one animal has emerged
as the prime suspect.
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It's almost certain
that it evolved in a bat.
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[linfa wang]
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[jonna mazet] a lot of characteristics of bats
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Make them kind of the perfect spreader.
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[narrator]
time is of the essence,
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So teams are racing
to understand
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How bats trigger
deadly pandemics.
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A global health problem
calls for nothing short
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Than a united global response.
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[murray]
there's a realization that
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Health needs to be interpreted
on a global level.
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It's not someone else's problem,
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It's all of our problem, and we all need to step up.
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The urgency is here
is not just covid,
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But it's the next one,
and the next one
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Because we do know
that it's coming.
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[dramatic music]
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[car honking]
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[narrator] as covid-19 rages
throughout the summer of 2020,
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Scientists globally
are mobilizing
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To find the source of the virus.
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It's too late to
stop this outbreak,
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But learning from it could
help prevent the next one.
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Emerging infectious diseases
is a really critical field
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Of study that has
come into its own
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In particular this last year with covid.
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[mazet] covid is deadly and devastating
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And we need to use it
as a clarion call
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To be ready
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So that we don't let anything
worse happen the next time.
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[narrator] the first big goal
is to establish
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Where this virus came from.
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When we're looking at
something like covid-19,
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Or any other emerging virus,
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One of the things
that we really wanna do
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Is find out
who is the reservoir.
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Which is the species
that holds this virus?
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[narrator] a major clue
to the pandemic's source
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Is found inside
the virus itself.
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Sars-cov-2, the virus
that causes covid-19,
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Closely resembles
several other viruses
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Found in bats across asia.
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These bats had one
thing in common,
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They were all horseshoe bats.
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One of those close matches
was collected ten years ago
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Here in northern cambodia.
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The same team is now returning
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To look for more
related viruses.
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[soft music]
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[vibol hul]
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[narrator]
working as a virologist
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For the
institute pasteur cambodia,
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Vibol hul has spent years
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Searching for
undiscovered viruses.
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His mission is to find them
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Before they have a
chance to infect humans.
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Scientific studies
have shown that so far,
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We have uncovered approximately
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One percent of all the viruses
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That that have the opportunity to kill mammals
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And human beings.
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That's leaving us obviously,
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With 99% more viruses out there.
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I think it's a really important thing for us to be doing,
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Identifying as many of the viruses out there
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That we possibly can
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So the next time that there is an eruption
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We can say, "right,
these people are dying
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In this area.
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Be careful 'cause there's
this species here,
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There's this virus here.
This is how we isolate it."
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[narrator]
the team has just a few days
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To catch hundreds
of horseshoe bats,
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In the hope they will
provide enough virus data.
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[wang]
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[mazet] it's important to work together across disciplines
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To solve these huge problems.
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[narrator]
virologists like vibol,
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Are now joining forces with
bat experts, like neil furey.
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With over 20 years
experience studying bats
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In south east asia,
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He's here to help vibol catch as
many horseshoe bats as possible.
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What we have here is
a limestone karst hill,
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Which are effectively like
a block of swiss-cheese,
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They are full of holes.
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And so they have quite abundantcave dwelling bat populations.
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An important member of that
group is the horseshoe bats,
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Which have been linked to covid-19.
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With covid,
there's a realization that,
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Like the economy,
health needs to be interpreted
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On a global level
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And for us to be thinking
of global health as an issue.
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Human health, animal health and environmental health
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Are all inextricably linked
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And therefore dependent
on each other.
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And if we wanna
keep one healthy,
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We need to keep
the other healthy as well.
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[narrator] as the sun goes down,
bats begin to appear.
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Since any one of them could
be carrying deadly viruses,
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The team takes precautions.
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[hul]
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[narrator]
despite all this effort,
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The odds are against
the team.
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Only 5% of horseshoe bats
carry coronaviruses.
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So vibol must catch hundreds
to improve his sample size.
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[hul]
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[neil furey]
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The net as a whole
is a lot more visible
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Because of all
the rain we've had.
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That's acting against us.
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Shake off any excess water.
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Sophia can you check
the net down there?
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Please.
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Ooh, got one?
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No, there he is,
there's one.
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[narrator] but it's not
the bat they're looking for.
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[furey] it's the
intermediate leaf nosed bat
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[narrator] vibol decides
to sample it anyway
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Since it roosts in the
same caves as horseshoe bats,
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And may contain similar viruses.
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[furey] that's a horseshoe bat.
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[hul]
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[furey]
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If you're quick...
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It's better for the bat.
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The structure of
the face of the nose leaf,
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Is absolutely unmistakable
for this species.
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Okay, guys, we're going
to close up now.
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Can I get everybody
out of here please?
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[narrator] the team
has caught and bagged
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Over 160 bats for sampling,
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90% are horseshoe bats.
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But their night
is far from over.
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Now they must work quickly
to collect oral,
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Rectal and blood samples
from every bat,
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Then release them
back into the wild.
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[hul]
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[narrator] it may take vibol
months of analysis,
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But data like this
is revealing
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Potential virus hotspots
around the world,
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Helping us avoid
future outbreaks.
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[hul]
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[narrator] huge efforts are
going into uncovering the role
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That bats play in pandemics.
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A key piece of that puzzle
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Is figuring out why bats
seem less affected
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By deadly viruses than humans.
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[narrator] welcome to
the inside of your airway,
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From the point of view
of a coronavirus.
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All viruses are
microscopic parasites,
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Whose sole purpose
is to infect cells,
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Replicate and spread
to new hosts.
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Killing the hosts
is never part of the plan.
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But sometimes,
an invading virus can set off
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A dangerous chain reaction.
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The host's infected cells
release chemical signals
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To alert the immune system.
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Immune cells arrive
on the scene.
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They attempt to kill the virus
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By sacrificing
the infected cells.
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Which triggers other defenses
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Like raising
the body's temperature.
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But sometimes healthy cells
are also killed
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By the immune system
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Leading to a run-away cycle
of destruction.
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For covid-19 patients,
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The body tries to kill the virus
with high fevers.
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While the lungs fill with
the debris of dead cells
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Leading to potentially lethal
breathing problems.
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[narrator] singapore.
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Inside a secured facility,
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Linfa wang is continuing
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His long battle to protect
humanity from future pandemics.
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[narrator] what do these
outbreaks have in common?
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They're all linked to bats.
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[narrator] in 2003,
the outbreak of sars,
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Or severe acute
respiratory syndrome,
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Began in a hotel elevator
in hong kong.
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[narrator] much like covid-19,
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Sars was caused by
a deadly novel coronavirus
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That attacked the airways.
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Linfa became part of the
world health organization team
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Tasked with tracing its source.
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After 18 months of field work,
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They tracked the virus
to a bat cave
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In yunnan, china.
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[narrator]
this colony of cave nectar bats
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Provides linfa's team
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With controlled
healthy bat samples.
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Which are destined for
an entirely
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Different kind of facility.
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Where linfa can
study what happens
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When they are exposed
to notorious killers.
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[narrator] bsl3 labs contain
the viruses behind rabies,
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Sars, covid-19 and mers,
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Or middle east
respiratory syndrome.
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[wang]
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[narrator] when linfa
infected bat and humans cells
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With the mers virus,
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He discovered
special genes in bats
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That reduced inflammation.
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It seems bats evolved ways
to calm their immune system,
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Preventing dangerous
over-reactions to viruses.
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[narrator] it's a
hotly debated topic,
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But these changes
may have done more
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Than just help bats
tolerate viruses.
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They may also
have led to viruses
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That are more deadly to humans.
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It takes a huge amount
of energy for a mammal
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To be able to fly.
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So a bat's metabolism
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Or the process of
turning food into fuel
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Has to be up
to five times faster
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Than other mammals their size.
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From the moment that
the bat takes off,
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The cells need to pump out
a lot more power.
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00:15:42,867 --> 00:15:47,479
But ramping up the metabolism
also generates more heat.
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00:15:47,554 --> 00:15:48,839
During flight,
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A bat's body temperature
can sky rocket
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To 129 degrees fahrenheit.
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Most viruses breakdown
at high temperatures.
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00:15:58,594 --> 00:16:00,992
But some manage
to adapt and survive
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00:16:01,001 --> 00:16:04,079
The punishing conditions
inside a bat during flight.
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00:16:05,667 --> 00:16:07,959
If these heat-adapted
viruses find their way
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00:16:08,034 --> 00:16:09,392
Into human hosts,
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00:16:09,427 --> 00:16:11,072
It's possible they're already
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A big step ahead
of our defenses.
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The highest fever most
of us can generate
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Without killing ourselves
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Is only 107 degrees fahrenheit
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Giving the viruses
a better chance of surviving
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00:16:24,307 --> 00:16:25,999
And making us sick.
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00:16:28,034 --> 00:16:29,152
Bats can fly,
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00:16:29,161 --> 00:16:31,919
And that's super unusual
for mammals.
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They live in lots of ecosystems
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And they can move across vast distances.
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But these abilities
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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 singlehuman 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 exposedto 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 haveto 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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