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