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1
00:00:00,621 --> 00:00:03,072
[gentle music]
2
00:00:09,043 --> 00:00:11,908
[water trickling]
3
00:00:13,013 --> 00:00:14,911
[snow crunches]
4
00:00:14,911 --> 00:00:17,120
[Allison] Oh, okay.
5
00:00:18,052 --> 00:00:20,054
[Allison panting]
6
00:00:20,054 --> 00:00:24,679
Holy moly.
7
00:00:24,679 --> 00:00:27,751
I'm trying to think of
where I place my feet.
8
00:00:30,064 --> 00:00:32,756
[dramatic music]
9
00:00:32,756 --> 00:00:33,688
Oh my gosh.
10
00:00:34,793 --> 00:00:36,036
[Allison inhales sharply]
11
00:00:36,036 --> 00:00:38,762
Of all the places
they could be hiding,
12
00:00:38,762 --> 00:00:40,937
they had to be down
here, didn't they?
13
00:00:42,145 --> 00:00:43,422
[Researcher] Do not
drop anything in here.
14
00:00:43,422 --> 00:00:44,389
There's no bottom.
15
00:00:44,389 --> 00:00:45,942
[Researcher] There is nothing.
16
00:00:45,942 --> 00:00:46,632
[Researcher] The lava's
only like three quarters
17
00:00:46,632 --> 00:00:47,564
of a mile down.
18
00:00:47,564 --> 00:00:48,876
[Researcher] Careful!
19
00:00:48,876 --> 00:00:50,050
- [rocks clattering]
- [Allison] Whoa!
20
00:00:50,050 --> 00:00:51,637
[Researcher] Careful,
this one moves.
21
00:00:53,156 --> 00:00:55,779
Oh no. I'm not
seeing anything here.
22
00:00:58,230 --> 00:01:00,681
Our typical science
spot is gone.
23
00:01:00,681 --> 00:01:03,442
[dramatic music]
24
00:01:03,442 --> 00:01:05,617
[beeping]
25
00:01:08,171 --> 00:01:09,793
[Allison] When I see the ice,
26
00:01:09,793 --> 00:01:12,486
[orchestral music]
27
00:01:12,486 --> 00:01:14,004
it looks barren.
28
00:01:15,247 --> 00:01:17,284
But it's not barren at all.
29
00:01:18,285 --> 00:01:20,149
It's full of life.
30
00:01:20,149 --> 00:01:22,427
It's full of mystery.
31
00:01:22,427 --> 00:01:25,154
It's full of things that
could change your world.
32
00:01:25,154 --> 00:01:28,985
[dramatic music]
As an ecologist,
33
00:01:28,985 --> 00:01:32,126
I've ventured to the coldest
reaches of our planet
34
00:01:32,126 --> 00:01:33,921
to study what's in this ice.
35
00:01:33,921 --> 00:01:36,924
[Researcher] Oh my gosh,
it's moving as you're on it.
36
00:01:36,924 --> 00:01:38,615
[dramatic music]
37
00:01:38,615 --> 00:01:42,826
[Allison] Now, I'm
on a mission to lift this frozen world
38
00:01:42,826 --> 00:01:45,657
to find out if the
things living within it
39
00:01:45,657 --> 00:01:48,246
could save millions of lives.
40
00:01:48,246 --> 00:01:51,801
From miracle microbes hidden
in a volcanic glacier,
41
00:01:51,801 --> 00:01:53,320
- We can get in that way.
- That way.
42
00:01:53,320 --> 00:01:54,700
[Researcher] As opposed
to having to make everybody
43
00:01:54,700 --> 00:01:56,875
claw through little rat tunnels.
44
00:01:56,875 --> 00:01:58,601
[Allison] to a
remarkable animal
45
00:01:58,601 --> 00:02:00,465
actually living within the ice.
46
00:02:00,465 --> 00:02:02,708
If there's a place to
really understand the future,
47
00:02:02,708 --> 00:02:03,882
it's here.
48
00:02:03,882 --> 00:02:05,401
[Allison] To bleeding glaciers
49
00:02:05,401 --> 00:02:07,817
opening a window
into our future.
50
00:02:07,817 --> 00:02:09,267
You can see the
obvious hazard.
51
00:02:09,267 --> 00:02:11,579
A lot of this has opened
up in the last month or so.
52
00:02:12,891 --> 00:02:14,582
But the clock is ticking.
53
00:02:15,756 --> 00:02:18,483
We're losing ice at
a phenomenal rate.
54
00:02:18,483 --> 00:02:19,863
[glacier booms]
55
00:02:19,863 --> 00:02:21,382
And so the race to find out
56
00:02:21,382 --> 00:02:25,835
how these mysteries shape our
world is absolutely critical.
57
00:02:25,835 --> 00:02:28,838
[glaciers cracking]
58
00:02:30,771 --> 00:02:33,325
[somber music]
59
00:02:40,781 --> 00:02:42,990
[pensive music]
60
00:02:42,990 --> 00:02:45,337
My journey starts
here on the road,
61
00:02:45,337 --> 00:02:47,995
to one of the most famous
volcanoes in history.
62
00:02:50,825 --> 00:02:53,380
On the West Coast of the US,
63
00:02:53,380 --> 00:02:55,934
nestled amongst the
Cascades Mountain Range,
64
00:02:55,934 --> 00:02:58,902
is the infamous
Mount St. Helens.
65
00:02:58,902 --> 00:03:03,804
This still-active volcano is
now home to a bizarre glacier.
66
00:03:04,977 --> 00:03:07,117
Its ice is rumored
to contain organisms
67
00:03:07,117 --> 00:03:09,741
that could save
millions of lives
68
00:03:09,741 --> 00:03:13,883
from a threat that doctors at
the CDC are highly aware of.
69
00:03:13,883 --> 00:03:15,850
[Arjun] Antibiotics
are prescribed
70
00:03:15,850 --> 00:03:19,095
thousands of time every
day for the treatment
71
00:03:19,095 --> 00:03:21,408
and management of
common infections.
72
00:03:21,408 --> 00:03:23,755
The problem is,
is that over time
73
00:03:23,755 --> 00:03:26,275
bacteria have become resistant
74
00:03:26,275 --> 00:03:28,242
to the antibiotics that we have.
75
00:03:28,242 --> 00:03:31,072
So instead of being
able to treat someone
76
00:03:31,072 --> 00:03:32,660
who has an infection,
77
00:03:32,660 --> 00:03:34,904
we have to stand helplessly by.
78
00:03:37,320 --> 00:03:38,632
In the United States,
79
00:03:38,632 --> 00:03:41,669
there are about
three million people
80
00:03:41,669 --> 00:03:45,328
who get those
antibiotic-resistant infections every year,
81
00:03:45,328 --> 00:03:47,813
and more than 30,000
of those people
82
00:03:47,813 --> 00:03:50,195
die from those infections.
83
00:03:50,195 --> 00:03:51,990
When you extrapolate
that number,
84
00:03:51,990 --> 00:03:54,095
perhaps to a global estimate,
85
00:03:54,095 --> 00:03:56,960
I mean we're talking
about tens of millions
86
00:03:56,960 --> 00:03:58,583
that are affected.
87
00:03:58,583 --> 00:04:00,378
[Arjun] It's
critically important
88
00:04:00,378 --> 00:04:03,312
that we get new antibiotics.
89
00:04:05,175 --> 00:04:08,731
Which is why I'm heading
to Mount St. Helens.
90
00:04:08,731 --> 00:04:11,112
Because if we want
new antibiotics,
91
00:04:11,112 --> 00:04:12,390
we'll likely find them
92
00:04:12,390 --> 00:04:15,703
in the most inhospitable
places imaginable.
93
00:04:16,601 --> 00:04:19,086
My safety gear, it's dialed in.
94
00:04:20,708 --> 00:04:23,401
Attaching my avalanche beacon.
95
00:04:23,401 --> 00:04:25,817
I already have my Gortex on
because it's gonna be wet.
96
00:04:27,163 --> 00:04:29,683
These are the guys
leading us into this dark
97
00:04:29,683 --> 00:04:31,443
and dangerous realm.
98
00:04:31,443 --> 00:04:34,066
But this isn't
Roberto's first rodeo.
99
00:04:34,066 --> 00:04:35,654
I've already got the slides.
100
00:04:35,654 --> 00:04:36,483
[Richard] Yeah.
101
00:04:36,483 --> 00:04:37,725
You already have them?
102
00:04:37,725 --> 00:04:38,519
[Roberto] Yeah,
it's over here.
103
00:04:38,519 --> 00:04:40,003
[Allison] Since 2017,
104
00:04:40,003 --> 00:04:43,110
he and his colleague Rick
have been hunting for microbes
105
00:04:43,110 --> 00:04:46,113
deep in the bowels of
this active volcano.
106
00:04:46,113 --> 00:04:49,289
[helicopter whirring]
107
00:04:52,084 --> 00:04:54,432
Number one thing
on this helicopter is
108
00:04:54,432 --> 00:04:56,054
that taileron back there.
109
00:04:56,054 --> 00:04:57,573
[helicopter whirring]
110
00:04:57,573 --> 00:04:59,299
All right, good luck everyone.
111
00:05:00,576 --> 00:05:01,784
[upbeat music]
112
00:05:01,784 --> 00:05:06,789
[helicopter whining]
[helicopter sputtering]
113
00:05:10,206 --> 00:05:12,967
[Allison] Mount St.
Helens might look calm now,
114
00:05:16,177 --> 00:05:19,629
but you should never
underestimate an active volcano.
115
00:05:20,975 --> 00:05:23,323
[dramatic music]
[volcano booming]
116
00:05:23,323 --> 00:05:25,808
[Pilot] We are directly over
Mount St. Helen's right now,
117
00:05:25,808 --> 00:05:28,500
and there is no question at
all that the volcanic activity
118
00:05:28,500 --> 00:05:29,743
has begun.
119
00:05:29,743 --> 00:05:32,055
You can see smoke
and ash pouring
120
00:05:32,055 --> 00:05:34,403
from the top of the mountain.
121
00:05:34,403 --> 00:05:38,130
So in spring of 1980,
there was an earthquake
122
00:05:38,130 --> 00:05:41,271
at Mount St. Helen's,
and within three minutes,
123
00:05:41,271 --> 00:05:44,274
the top of Mount St.
Helen's exploded off
124
00:05:44,274 --> 00:05:45,793
in a violent eruption.
125
00:05:47,277 --> 00:05:49,003
[piano music]
[volcano booming]
126
00:05:49,003 --> 00:05:51,351
Nearly a cubic mile of material
127
00:05:51,351 --> 00:05:53,353
was blown off the
top of the mountain.
128
00:05:54,457 --> 00:05:57,149
Along with an
estimated 57 people,
129
00:05:57,149 --> 00:06:00,221
the blast killed virtually
every single plant and animal
130
00:06:00,221 --> 00:06:01,913
in the whole surrounding area.
131
00:06:04,467 --> 00:06:08,057
You're looking at the deadliest
eruption in US history.
132
00:06:09,334 --> 00:06:11,957
It effectively
sterilized the landscape.
133
00:06:13,165 --> 00:06:14,684
Inside the crater,
134
00:06:14,684 --> 00:06:18,343
nothing survived,
bar a few microbes.
135
00:06:19,793 --> 00:06:22,934
Even today, the area looks
to be a barren landscape,
136
00:06:24,453 --> 00:06:26,662
but you can't keep
microbes down for long,
137
00:06:28,388 --> 00:06:32,599
which is why we're here.
[helicopter sputtering]
138
00:06:38,467 --> 00:06:42,850
Whoa!
[helicopter sputtering]
139
00:06:42,850 --> 00:06:44,369
Coming up on this glacier,
140
00:06:44,369 --> 00:06:47,890
there's steam, like vents
coming out of the caves,
141
00:06:47,890 --> 00:06:51,065
and there's these enormous
openings in the mountain.
142
00:06:51,065 --> 00:06:53,171
Just incredible.
143
00:06:53,171 --> 00:06:56,588
[pensive music]
144
00:06:56,588 --> 00:06:59,936
This volcanic eruption
created this enormous crater
145
00:06:59,936 --> 00:07:02,283
within the center
of the volcano.
146
00:07:03,457 --> 00:07:06,564
That crater is shaded
almost all year long,
147
00:07:06,564 --> 00:07:08,738
and the most incredible
thing is happening.
148
00:07:10,499 --> 00:07:13,916
A glacier is growing within
the crater of the volcano.
149
00:07:15,642 --> 00:07:16,884
It's actually one
of the youngest
150
00:07:16,884 --> 00:07:19,922
and fastest-growing
glaciers on earth.
151
00:07:22,200 --> 00:07:24,340
So they're scouting that
to see if we can get in
152
00:07:24,340 --> 00:07:25,583
- that way,
- That way.
153
00:07:25,583 --> 00:07:27,688
as opposed to having
to make everybody
154
00:07:27,688 --> 00:07:30,001
claw through little rat tunnels.
155
00:07:30,001 --> 00:07:31,312
We'll do it if we have to.
156
00:07:32,452 --> 00:07:34,108
So the entrance
is super chill.
157
00:07:34,108 --> 00:07:35,627
Any belays to approach?
158
00:07:35,627 --> 00:07:37,146
I'd just say people need
to keep their harnesses on
159
00:07:37,146 --> 00:07:39,804
for rescue, everything's a
walk and it's pretty chill.
160
00:07:40,943 --> 00:07:43,083
[pensive music]
161
00:07:43,083 --> 00:07:45,775
[ice crunches]
162
00:07:45,775 --> 00:07:48,778
But what these experienced
explorers consider chill,
163
00:07:48,778 --> 00:07:51,022
is not exactly a
walk in the park.
164
00:07:52,057 --> 00:07:53,542
Let me give you a look,
165
00:07:53,542 --> 00:07:56,441
what our dissent into the
entrance is gonna look like.
166
00:07:56,441 --> 00:07:57,407
Check this out.
167
00:07:58,512 --> 00:08:00,307
It's steaming.
168
00:08:00,307 --> 00:08:02,930
As you can see, there's
a lot of loose rock.
169
00:08:04,380 --> 00:08:07,176
It just blows my mind that
we're entering a glacier
170
00:08:07,176 --> 00:08:09,178
sitting on an active volcano.
171
00:08:10,559 --> 00:08:12,284
From this perspective,
it looks pretty gnarly.
172
00:08:12,284 --> 00:08:13,769
It looks pretty steep.
173
00:08:13,769 --> 00:08:18,774
[rocks clattering]
[pensive music]
174
00:08:25,228 --> 00:08:28,404
Oh!
[rocks clattering]
175
00:08:29,509 --> 00:08:32,339
[Ellison panting]
176
00:08:37,068 --> 00:08:40,347
And now I'm realizing,
why I love the ocean.
177
00:08:40,347 --> 00:08:43,453
Because even if you
fall in, you're buoyant.
178
00:08:44,627 --> 00:08:46,802
But whoa, this is crazy.
179
00:08:48,286 --> 00:08:52,393
My heart was like raging.
180
00:08:52,393 --> 00:08:57,398
[somber music]
[Ellison panting]
181
00:08:57,847 --> 00:08:58,572
Oh God.
182
00:09:01,402 --> 00:09:04,751
As I quickly catch my
breath, I'm asking myself
183
00:09:04,751 --> 00:09:07,236
how Roberto came up
with this crazy idea,
184
00:09:08,651 --> 00:09:10,342
and I remembered
something he said,
185
00:09:10,342 --> 00:09:12,517
back in our
pre-expedition briefing.
186
00:09:12,517 --> 00:09:15,037
[pensive music]
187
00:09:15,037 --> 00:09:17,418
Antibiotics are sort
of unique in that way
188
00:09:17,418 --> 00:09:21,181
compared to other drugs,
because if you keep using them,
189
00:09:21,181 --> 00:09:23,597
they will tend to lose
their effectiveness,
190
00:09:23,597 --> 00:09:26,427
simply because the microbes
will learn to basically
191
00:09:26,427 --> 00:09:27,946
- [Researcher] Evolve.
- evolve.
192
00:09:27,946 --> 00:09:31,018
And so the crisis is that, if
we don't find new antibiotics,
193
00:09:31,018 --> 00:09:33,158
we're gonna run
out of antibiotics.
194
00:09:33,158 --> 00:09:35,298
We know it from other scientists
195
00:09:35,298 --> 00:09:38,267
that there are
antibiotic-resistant microbes
196
00:09:38,267 --> 00:09:42,167
in places that humans have
never accessed before.
197
00:09:42,167 --> 00:09:44,998
So if there are
antibiotic-resistant microbes present,
198
00:09:44,998 --> 00:09:47,207
there must be microbes
making antibiotics.
199
00:09:49,278 --> 00:09:53,454
Antibiotics are actually
weapons made by microbes.
200
00:09:53,454 --> 00:09:55,042
Let me show you why.
201
00:09:55,042 --> 00:09:58,632
Here are two colonies
fighting over space and food.
202
00:09:59,806 --> 00:10:02,049
They bombard each other
with chemical arsenals
203
00:10:02,049 --> 00:10:03,603
designed to kill on contact.
204
00:10:05,018 --> 00:10:07,158
These are what we
call antibiotics.
205
00:10:08,677 --> 00:10:11,127
Battles like this are
happening all around us,
206
00:10:11,127 --> 00:10:14,130
inside us, and in environments
all over the world.
207
00:10:15,787 --> 00:10:19,549
But sometimes, immune bacteria
can appear in a colony
208
00:10:19,549 --> 00:10:21,931
that is immune to
the enemy's attacks.
209
00:10:22,967 --> 00:10:25,141
Now that it has the upper hand,
210
00:10:25,141 --> 00:10:28,144
it can reproduce at will,
until it's offspring
211
00:10:28,144 --> 00:10:30,491
become the sole
victors of the battle.
212
00:10:32,390 --> 00:10:34,495
Each time we attack
these infections
213
00:10:34,495 --> 00:10:37,084
using the same antibiotic drugs,
214
00:10:37,084 --> 00:10:40,605
we are strengthening
their chances to resist.
215
00:10:40,605 --> 00:10:43,608
So we need new kinds of weapons.
216
00:10:43,608 --> 00:10:45,506
And so I thought, well,
217
00:10:45,506 --> 00:10:48,993
why not try and look at
this extreme environment?
218
00:10:48,993 --> 00:10:51,754
They're the microbes that
are gonna be the unique ones
219
00:10:51,754 --> 00:10:54,792
that we don't tend to find
in most common environments.
220
00:10:56,345 --> 00:11:00,590
And so we went looking at these
samples from the ice caves,
221
00:11:00,590 --> 00:11:02,420
and we're taking them
back to the college,
222
00:11:02,420 --> 00:11:06,458
and students there are looking
to see if any microbes grow
223
00:11:06,458 --> 00:11:08,702
that will make new antibodies.
224
00:11:08,702 --> 00:11:10,704
[rocks clattering]
225
00:11:10,704 --> 00:11:13,811
- [Ellison panting]
- Ooh!
226
00:11:15,467 --> 00:11:18,988
The scalloping is
amazing and so bizarre.
227
00:11:20,818 --> 00:11:24,787
But these shapes are just
proof, that the magma below us
228
00:11:24,787 --> 00:11:27,410
is constantly
changing this glacier.
229
00:11:28,722 --> 00:11:30,310
In the past,
230
00:11:30,310 --> 00:11:32,588
this is where we hang a right
and go down to our site.
231
00:11:32,588 --> 00:11:33,934
But it's gone.
232
00:11:35,349 --> 00:11:37,282
Yeah, I don't think we're
gonna sample in here.
233
00:11:38,456 --> 00:11:39,871
We're still gonna
go down and check out.
234
00:11:39,871 --> 00:11:41,045
But we're still gonna
go down and check.
235
00:11:41,045 --> 00:11:42,322
There's other
fumaroles down there,
236
00:11:42,322 --> 00:11:43,703
so, we'll exchange
it for another.
237
00:11:43,703 --> 00:11:45,152
But he said that,
238
00:11:45,152 --> 00:11:47,983
"That area, that's
usually very large,"
239
00:11:47,983 --> 00:11:48,811
[Researcher] Yeah.
240
00:11:48,811 --> 00:11:49,778
has now shrunk down
241
00:11:49,778 --> 00:11:50,848
to being a very small area.
242
00:11:52,781 --> 00:11:54,403
Even if the site is gone,
243
00:11:54,403 --> 00:11:57,855
there may still be potential
bacterial sites down here.
244
00:11:57,855 --> 00:12:00,927
Roberto's microbes love
extremes of temperature.
245
00:12:00,927 --> 00:12:04,896
So this thermal camera will
help us find any hotspots.
246
00:12:04,896 --> 00:12:08,072
Okay, so it's pretty cool,
pointing right there.
247
00:12:08,072 --> 00:12:11,213
- Yes.
- Reading -1.7.
248
00:12:11,213 --> 00:12:12,455
- Yeah.
- Celsius.
249
00:12:12,455 --> 00:12:13,802
- In here.
- [Researcher] There you go.
250
00:12:13,802 --> 00:12:15,355
Down there.
251
00:12:15,355 --> 00:12:16,321
[Allison] Down here, it's
getting really warm colors,
252
00:12:16,321 --> 00:12:18,599
and we're like at 6.97,
253
00:12:18,599 --> 00:12:20,636
- Yep.
- 7.3 degrees Celsius.
254
00:12:21,810 --> 00:12:24,916
These hotspots are
called fumaroles.
255
00:12:24,916 --> 00:12:29,783
They vent heat and toxic gases
from deep inside the volcano.
256
00:12:29,783 --> 00:12:33,476
Down here in the
dark and the cold,
257
00:12:33,476 --> 00:12:36,410
any microbes that generate
antibiotic compounds
258
00:12:36,410 --> 00:12:39,482
may be growing using
those volcanic gases.
259
00:12:39,482 --> 00:12:43,797
Ooh, yeah, this one's like
10, 11 degrees Celsius.
260
00:12:44,971 --> 00:12:48,008
But 10 degrees is hardly
a volcanic temperature
261
00:12:48,008 --> 00:12:50,562
worthy of our extreme microbes.
262
00:12:50,562 --> 00:12:52,875
So it's decided that
there's little point
263
00:12:52,875 --> 00:12:54,739
sampling this area.
264
00:12:54,739 --> 00:12:57,500
So, typically
going this direction,
265
00:12:57,500 --> 00:13:00,331
we have a very large
cathedral-type hallway
266
00:13:00,331 --> 00:13:01,573
- that we can go down.
- [Allison] Yeah.
267
00:13:01,573 --> 00:13:03,472
And go down to our fumeroles,
268
00:13:03,472 --> 00:13:04,680
which are usually
269
00:13:04,680 --> 00:13:06,061
- nice and warm.
- [Allison] Yeah.
270
00:13:06,061 --> 00:13:07,510
But this year,
271
00:13:07,510 --> 00:13:09,858
that is now closed,
three years in a row now,
272
00:13:09,858 --> 00:13:11,273
and it hadn't
really changed much.
273
00:13:11,273 --> 00:13:12,481
- [Allison] Yeah.
- This site,
274
00:13:12,481 --> 00:13:15,760
the cave has, but
this was a big change.
275
00:13:15,760 --> 00:13:17,658
So we're not gonna be
able to access those sites
276
00:13:17,658 --> 00:13:19,212
on this expedition.
277
00:13:19,212 --> 00:13:21,386
[Researcher] Probably not.
278
00:13:21,386 --> 00:13:23,492
So we know that
things and conditions
279
00:13:23,492 --> 00:13:25,735
can change quickly down here.
280
00:13:25,735 --> 00:13:29,429
Either the volcano has moved
over the course of the year,
281
00:13:29,429 --> 00:13:31,811
or the ice has changed.
282
00:13:31,811 --> 00:13:34,089
And listening to
Rick and Roberto,
283
00:13:34,089 --> 00:13:36,367
it sounds like their
greatest fear could be
284
00:13:36,367 --> 00:13:38,024
that their sampling
site is gone.
285
00:13:40,267 --> 00:13:43,823
While the team regroups
to think of solutions,
286
00:13:43,823 --> 00:13:46,826
it gives me a moment to
think about how shifting ice
287
00:13:46,826 --> 00:13:48,482
actually plays a big role
288
00:13:48,482 --> 00:13:51,831
in some of my work
with ice microbes.
289
00:13:51,831 --> 00:13:55,593
[glacier ice cracking]
290
00:13:55,593 --> 00:13:57,146
Back in 2020,
291
00:13:57,146 --> 00:14:00,253
I took part in the largest
polar research expedition
292
00:14:00,253 --> 00:14:01,185
in history.
293
00:14:02,393 --> 00:14:05,189
We took a team from
across the world,
294
00:14:05,189 --> 00:14:08,226
to come together, to
live on an icebreaker,
295
00:14:08,226 --> 00:14:10,608
and drift across the
Central Arctic for a year.
296
00:14:11,747 --> 00:14:15,475
[pensive music]
[ice cracking]
297
00:14:15,475 --> 00:14:19,306
I'd forgive you for thinking
that sea ice is lifeless,
298
00:14:20,445 --> 00:14:24,104
but it's teeming
with tiny organisms,
299
00:14:24,104 --> 00:14:27,383
and some of them have a
surprising superpower.
300
00:14:28,833 --> 00:14:31,974
This is how I imagine
the Arctic sea ice,
301
00:14:31,974 --> 00:14:35,253
a giant microbial storage
vault that unlocks
302
00:14:35,253 --> 00:14:36,979
more and more each year.
303
00:14:38,153 --> 00:14:40,638
These organisms are so small,
304
00:14:40,638 --> 00:14:43,606
even a gust of wind can
blow them up into the air
305
00:14:43,606 --> 00:14:44,607
with the sea spray.
306
00:14:46,161 --> 00:14:48,197
These microbes are tiny.
[water bubbling]
307
00:14:48,197 --> 00:14:50,441
But they're able to
attract water droplets,
308
00:14:50,441 --> 00:14:52,650
like micro-rainmakers.
309
00:14:54,134 --> 00:14:58,035
More microbes means more
droplets coming together,
310
00:14:58,035 --> 00:14:59,968
which eventually
creates a cloud.
311
00:15:01,452 --> 00:15:04,558
If we're right, more clouds
means more heat insulation,
312
00:15:04,558 --> 00:15:06,319
which leads to more melting,
313
00:15:06,319 --> 00:15:09,839
then more microbes are released,
and the cycle continues.
314
00:15:11,289 --> 00:15:13,533
But this effect
ripples out beyond
315
00:15:13,533 --> 00:15:15,915
just this patch of sea ice.
316
00:15:15,915 --> 00:15:18,918
And the next time you look
up into the sky, at a cloud,
317
00:15:18,918 --> 00:15:21,782
you can think that this
cloud was potentially built
318
00:15:21,782 --> 00:15:24,440
by these tiny little organisms,
319
00:15:24,440 --> 00:15:26,408
and that these tiny
little organisms
320
00:15:26,408 --> 00:15:29,859
are now controlling
where there's rain, where there's snow.
321
00:15:31,275 --> 00:15:36,073
We don't know yet exactly what
impact more clouds can have.
322
00:15:36,073 --> 00:15:38,316
It could be the
butterfly effect,
323
00:15:38,316 --> 00:15:41,423
rippling chaos through our
global climate systems.
324
00:15:42,803 --> 00:15:44,426
That's why these icy microbes
325
00:15:44,426 --> 00:15:46,600
are so important for our future.
326
00:15:48,948 --> 00:15:51,605
Spending a year drifting
with the Arctic sea ice
327
00:15:51,605 --> 00:15:56,438
taught me that, your job as a
scientist is to solve puzzles.
328
00:15:56,438 --> 00:15:59,579
And so when you encounter an
obstacle, you have a choice.
329
00:15:59,579 --> 00:16:02,685
You can give up, or you
can solve the puzzle.
330
00:16:02,685 --> 00:16:05,343
[pensive music]
331
00:16:06,586 --> 00:16:10,624
They have found another
entrance into that area
332
00:16:10,624 --> 00:16:13,041
that will open up,
so we can access
333
00:16:13,041 --> 00:16:17,666
different sampling sites
of Roberto and Rick's.
334
00:16:17,666 --> 00:16:21,187
And it's down here, you can see,
335
00:16:21,187 --> 00:16:23,672
and our operation team right
now is going back in there,
336
00:16:23,672 --> 00:16:26,088
to mark it off and to rig it.
337
00:16:26,088 --> 00:16:28,884
[rocks cracking]
338
00:16:29,816 --> 00:16:31,680
Now I get why they were saying,
339
00:16:31,680 --> 00:16:34,096
"The last route
was pretty chill."
340
00:16:34,096 --> 00:16:36,996
This one's on a different level.
341
00:16:36,996 --> 00:16:40,827
Right now, I'm asking myself,
why I signed up for this.
342
00:16:44,037 --> 00:16:46,867
I just hope we find what
we're looking for down there.
343
00:16:49,456 --> 00:16:51,665
Jeremy, whose idea was this?
344
00:16:52,770 --> 00:16:54,220
[everyone laughing]
345
00:16:54,220 --> 00:16:55,600
[Jeremy] I just wanted
to get outta the house man,
346
00:16:55,600 --> 00:16:56,532
I dunno.
347
00:16:56,532 --> 00:16:57,361
[everyone laughing]
348
00:16:57,361 --> 00:17:00,019
[pensive music]
349
00:17:01,779 --> 00:17:03,022
[Researcher] Hand me a bag.
350
00:17:04,023 --> 00:17:04,851
Beautiful.
351
00:17:08,165 --> 00:17:11,237
Ow, that was my
favorite shinbone.
352
00:17:16,621 --> 00:17:18,623
Okay, I think I see the end.
353
00:17:19,555 --> 00:17:21,730
[gear crunches]
354
00:17:21,730 --> 00:17:23,214
Do you see how I'm laying?
355
00:17:23,214 --> 00:17:25,492
You're gonna lay like this,
and you're gonna have to crawl
356
00:17:25,492 --> 00:17:28,047
for about six feet straight.
357
00:17:28,047 --> 00:17:29,531
It's like a puzzle.
358
00:17:29,531 --> 00:17:31,878
Your body's the piece.
359
00:17:31,878 --> 00:17:33,362
You have to just lay
on your shoulder,
360
00:17:33,362 --> 00:17:34,915
take a little water in the face.
361
00:17:34,915 --> 00:17:39,920
[pensive music]
[water dripping]
362
00:17:42,061 --> 00:17:44,270
[Allison] It's been
squeeze after squeeze,
363
00:17:44,270 --> 00:17:47,859
contorting my body through
the cold, and the dark,
364
00:17:47,859 --> 00:17:48,688
and the wet.
365
00:17:50,379 --> 00:17:53,348
[Researcher] Ah, feels good
when you can get straight up
366
00:17:53,348 --> 00:17:54,245
and vertical, huh?
367
00:17:54,245 --> 00:17:55,798
[Allison] Yes.
368
00:17:55,798 --> 00:17:58,801
[everyone laughing]
369
00:18:00,044 --> 00:18:01,770
[Allison] Now it's
just a casual scramble
370
00:18:01,770 --> 00:18:04,290
down a 200-foot wall of rocks
371
00:18:04,290 --> 00:18:06,050
into the depths of the volcano.
372
00:18:07,534 --> 00:18:09,053
[Researcher] We've
found our sample site.
373
00:18:09,053 --> 00:18:11,883
- [Researcher] All right.
- [Researcher] Undisturbed.
374
00:18:11,883 --> 00:18:13,437
[pensive music]
375
00:18:13,437 --> 00:18:17,441
We just came down this
huge rock slide of boulders,
376
00:18:17,441 --> 00:18:18,890
it's pretty treacherous,
377
00:18:18,890 --> 00:18:20,858
but we found the sampling site,
378
00:18:20,858 --> 00:18:22,687
and this is where we were
trying to get to yesterday
379
00:18:22,687 --> 00:18:25,069
that we couldn't reach
from the other entrance.
380
00:18:26,243 --> 00:18:28,003
You can already see
it's really steamy,
381
00:18:28,003 --> 00:18:29,867
compared to where
we were yesterday.
382
00:18:29,867 --> 00:18:32,870
And the thing is, is that
there's active fumaroles here.
383
00:18:32,870 --> 00:18:34,699
So there's active volcanic gases
384
00:18:34,699 --> 00:18:36,149
coming out of these boulders,
385
00:18:37,288 --> 00:18:38,979
and we broke out
the thermal camera,
386
00:18:38,979 --> 00:18:41,672
so that we could check
around these rocks.
387
00:18:41,672 --> 00:18:44,813
So, I'm gonna just point it
towards our sampling site,
388
00:18:44,813 --> 00:18:48,127
and you can see that
there's a really hot spot
389
00:18:48,127 --> 00:18:50,715
of about 30 degrees centigrade.
390
00:18:52,131 --> 00:18:54,616
So, we're talking about
a really significant
391
00:18:54,616 --> 00:18:57,377
temperature difference between
where we were yesterday
392
00:18:57,377 --> 00:18:58,551
and where we are now.
393
00:19:00,000 --> 00:19:01,174
The other thing is,
394
00:19:01,174 --> 00:19:02,796
it's not just this spot
that's really warm.
395
00:19:02,796 --> 00:19:05,903
There's other spots across the
cave, where we've been seeing
396
00:19:05,903 --> 00:19:09,562
these really bright,
intense, hot places.
397
00:19:09,562 --> 00:19:12,254
So that's probably why
this cave is so big,
398
00:19:12,254 --> 00:19:14,912
it's because these
fumaroles are active.
399
00:19:14,912 --> 00:19:16,603
They're creating this steam,
400
00:19:16,603 --> 00:19:21,436
and this warm air is carving
this cavern into the glacier.
401
00:19:21,436 --> 00:19:23,265
It's absolutely
incredible in here.
402
00:19:23,265 --> 00:19:24,542
I can't even tell you.
403
00:19:24,542 --> 00:19:27,269
It's like a cathedral
of ice, it's amazing.
404
00:19:28,753 --> 00:19:32,205
Where we're standing now,
was completely sterilized.
405
00:19:32,205 --> 00:19:35,001
The eruption killed
practically everything.
406
00:19:35,001 --> 00:19:37,486
So how did these
microbes get down here?
407
00:19:37,486 --> 00:19:38,970
[glacier cracking]
408
00:19:38,970 --> 00:19:42,353
The best way to reveal its
secrets, is if we lift the ice
409
00:19:42,353 --> 00:19:43,906
from the glacier.
410
00:19:43,906 --> 00:19:47,600
The tiny entrances lead into
vast labyrinths of chambers
411
00:19:47,600 --> 00:19:49,809
carved into the
underside of the glacier
412
00:19:49,809 --> 00:19:51,914
by the volcano's warmth.
413
00:19:51,914 --> 00:19:55,677
Inside, it's dark
and cold and infused
414
00:19:55,677 --> 00:19:59,922
with toxic volcanic gases,
like sulfur dioxide.
415
00:19:59,922 --> 00:20:01,130
But in places,
416
00:20:01,130 --> 00:20:04,064
hot fumaroles fueled
by the magma underneath
417
00:20:04,064 --> 00:20:06,964
can reach up to 60
degrees Celsius.
418
00:20:06,964 --> 00:20:09,553
It's a tough place for
anything to survive,
419
00:20:10,933 --> 00:20:13,557
but the very same
entrances we traveled,
420
00:20:13,557 --> 00:20:18,044
are also a gateway for microbes
carried by wind and storms.
421
00:20:19,494 --> 00:20:21,944
The conditions inside kill
off the majority of them,
422
00:20:23,118 --> 00:20:25,085
but we are looking
for the rare few
423
00:20:25,085 --> 00:20:27,502
who have the ability
to survive down here.
424
00:20:28,882 --> 00:20:32,645
This unique environment is
unlike any other on the planet.
425
00:20:32,645 --> 00:20:36,269
The conditions are so harsh
that the microbes found here,
426
00:20:36,269 --> 00:20:39,065
can't be found in any
other place on earth.
427
00:20:39,065 --> 00:20:42,413
These organisms are potentially
so special and so different
428
00:20:42,413 --> 00:20:45,002
from microorganisms that we
would find on the surface,
429
00:20:45,002 --> 00:20:48,902
we have the best chances of
discovering new antibiotics
430
00:20:48,902 --> 00:20:50,663
from these unique organisms.
431
00:20:50,663 --> 00:20:51,629
[upbeat music]
432
00:20:51,629 --> 00:20:53,631
So we got to the sampling site,
433
00:20:53,631 --> 00:20:56,255
and we've taken
some photographs.
434
00:20:56,255 --> 00:20:59,085
It looks intact, it
doesn't look like much,
435
00:20:59,085 --> 00:21:00,259
no offense guys,
436
00:21:00,259 --> 00:21:03,262
but it's a fluorescent,
orange paracord,
437
00:21:03,262 --> 00:21:08,267
and underneath a boulder is
two slides sitting vertically,
438
00:21:09,716 --> 00:21:11,477
and the slides are exposed to
the air, and they're trapping
439
00:21:11,477 --> 00:21:15,274
whatever microbes decide
to grow on the glass slide.
440
00:21:15,274 --> 00:21:18,518
It's a very small
area, very basic,
441
00:21:18,518 --> 00:21:21,487
but super cool, that it's
all like functioning.
442
00:21:23,834 --> 00:21:26,492
With all of the setbacks
getting to the site,
443
00:21:26,492 --> 00:21:28,701
we're running out of
time to get our samples,
444
00:21:28,701 --> 00:21:31,151
and get out before nightfall.
445
00:21:31,151 --> 00:21:32,877
[Researcher] All
right, here we go.
446
00:21:34,465 --> 00:21:35,397
How much do you want?
447
00:21:35,397 --> 00:21:37,054
[Researcher] Five to 10 grams.
448
00:21:37,054 --> 00:21:38,883
[Researcher] All right,
I won't put a ton in.
449
00:21:38,883 --> 00:21:40,989
Let me know what you
think of this amount.
450
00:21:42,680 --> 00:21:43,992
Good.
451
00:21:43,992 --> 00:21:45,234
[Researcher] It's good?
All right.
452
00:21:45,234 --> 00:21:48,099
[Allison] 22 dash
three and 22 dash four,
453
00:21:48,099 --> 00:21:49,929
away from fumerole.
454
00:21:51,655 --> 00:21:53,173
Here you go.
455
00:21:53,173 --> 00:21:55,106
[Researcher] That's
good, that'll be enough.
456
00:21:55,106 --> 00:21:56,660
We're going to
take that sediment
457
00:21:56,660 --> 00:21:58,109
back to the lab,
458
00:21:58,109 --> 00:22:01,043
and we're going to actually
try to grow bacteria
459
00:22:01,043 --> 00:22:02,148
from those sediments.
460
00:22:03,908 --> 00:22:08,361
These bacteria may have
antibiotics potential.
461
00:22:10,570 --> 00:22:12,952
[dramatic music]
[fire flaring]
462
00:22:12,952 --> 00:22:17,681
I've never been in a situation,
where I've been asked to do
463
00:22:17,681 --> 00:22:22,686
so much physical and mental
work to recover a single sample.
464
00:22:23,583 --> 00:22:27,346
Oh my gosh.
[gentle music]
465
00:22:27,346 --> 00:22:30,590
This landscape is a
playground for explorers.
466
00:22:30,590 --> 00:22:33,835
It's not necessarily where
you think that the things
467
00:22:33,835 --> 00:22:36,631
and the medicine that
will save our lives,
468
00:22:36,631 --> 00:22:39,496
and increase human well-being
all around the world,
469
00:22:39,496 --> 00:22:42,361
you don't think of this
place as being the source
470
00:22:42,361 --> 00:22:46,054
of that information, that
knowledge, and that material,
471
00:22:46,054 --> 00:22:47,158
but it is.
472
00:22:47,158 --> 00:22:51,680
[helicopter sputtering]
[gentle music]
473
00:22:51,680 --> 00:22:54,407
[dramatic music]
474
00:22:56,202 --> 00:22:59,067
Ultimately, that's what
makes our frozen realm
475
00:22:59,067 --> 00:23:01,656
so unique and so special.
476
00:23:03,105 --> 00:23:06,592
The very things that make our
icy realms so inhospitable,
477
00:23:06,592 --> 00:23:09,491
are what make them
invaluable to science.
478
00:23:11,148 --> 00:23:13,702
Our samples are now being
rushed down to Roberto's lab
479
00:23:13,702 --> 00:23:14,531
for testing.
480
00:23:16,291 --> 00:23:18,845
However, this whole
phenomenon of living snow
481
00:23:18,845 --> 00:23:23,056
and creatures in the ice,
isn't always a good thing.
482
00:23:23,056 --> 00:23:25,645
[gentle music]
483
00:23:27,716 --> 00:23:28,993
In New Zealand,
484
00:23:28,993 --> 00:23:30,857
a team of scientists
is preparing to head
485
00:23:30,857 --> 00:23:32,583
to the Southern Alps,
486
00:23:32,583 --> 00:23:35,172
to investigate the
mystery of glaciers
487
00:23:35,172 --> 00:23:36,622
that seem to be bleeding.
488
00:23:38,175 --> 00:23:40,280
[Researcher] That's coming
with us on the first flight.
489
00:23:40,280 --> 00:23:41,592
[Researcher] So, I
just throw that off?
490
00:23:41,592 --> 00:23:43,214
[Researcher] Yeah, yeah, yeah.
491
00:23:44,595 --> 00:23:47,011
[Allison] Phil is pairing
his expertise in algae,
492
00:23:47,011 --> 00:23:50,118
with John's skills in
environmental instruments.
493
00:23:51,602 --> 00:23:54,536
Together, they've designed and
built a piece of equipment,
494
00:23:54,536 --> 00:23:57,401
especially for this expedition.
495
00:23:57,401 --> 00:23:59,230
It's just that, there's
a construction in there
496
00:23:59,230 --> 00:24:01,440
that creates the vortex.
497
00:24:01,440 --> 00:24:03,580
[helicopter whining]
498
00:24:03,580 --> 00:24:05,927
[Pilot] Four pegs we
turn at the Tasman Saddle,
499
00:24:05,927 --> 00:24:08,550
and we'll probably
shut down up here.
500
00:24:08,550 --> 00:24:09,724
[Operator] Copy that.
501
00:24:09,724 --> 00:24:14,591
[helicopter whining]
[upbeat music]
502
00:24:25,809 --> 00:24:29,640
This work is based on the
very significant bushfires
503
00:24:29,640 --> 00:24:33,437
that happened in Australia,
summer of 2019, 2020.
504
00:24:34,369 --> 00:24:36,371
[bushfires crackling]
505
00:24:36,371 --> 00:24:37,510
[Allison] We all know
506
00:24:37,510 --> 00:24:40,375
how devastating
those bushfires were.
507
00:24:40,375 --> 00:24:44,137
So much loss of wildlife
and habitat in Australia.
508
00:24:46,070 --> 00:24:50,109
The intense heat sent ash
all the way to South America,
509
00:24:50,109 --> 00:24:52,387
over 7,000 miles away.
510
00:24:53,526 --> 00:24:56,080
You could even smell
the smoke in the air.
511
00:24:59,256 --> 00:25:03,743
On the way, it dumped ash all
over New Zealand's glaciers.
512
00:25:03,743 --> 00:25:06,781
John and Phil actually
came up here at the time
513
00:25:06,781 --> 00:25:09,577
to first study this event.
514
00:25:09,577 --> 00:25:12,096
They witnessed these
caramel-colored glaciers
515
00:25:12,096 --> 00:25:13,719
with their own eyes.
516
00:25:15,790 --> 00:25:19,207
Phil, John, and their
research assistant Alex,
517
00:25:19,207 --> 00:25:22,590
are flying to the largest
glacier in New Zealand,
518
00:25:22,590 --> 00:25:23,936
the Tasman Glacier.
519
00:25:25,385 --> 00:25:28,009
It was one location heavily
affected by the ash fall,
520
00:25:28,009 --> 00:25:30,425
from the Australian bushfires.
521
00:25:30,425 --> 00:25:33,324
[Pilot] From the wide mouth
to the base, six five North.
522
00:25:35,257 --> 00:25:36,707
[Allison] And the
team is out here
523
00:25:36,707 --> 00:25:40,711
to discover the impact of
this ash on their icy habitat.
524
00:25:42,610 --> 00:25:46,786
The snow might look white
now, but if they're right,
525
00:25:46,786 --> 00:25:49,409
the ash might trigger
a chain of events,
526
00:25:49,409 --> 00:25:51,584
that could lead to the
downfall of glaciers,
527
00:25:51,584 --> 00:25:53,862
both here and around the world.
528
00:25:53,862 --> 00:25:55,346
[Phil] You can see
the obvious hazards.
529
00:25:55,346 --> 00:25:56,831
[John] Yeah.
530
00:25:56,831 --> 00:25:59,385
A lot of this has opened
up in the last month or so.
531
00:25:59,385 --> 00:26:04,321
[gentle music]
[helicopter sputtering]
532
00:26:05,564 --> 00:26:08,083
[door thuds]
533
00:26:08,083 --> 00:26:09,395
[rucksack thuds]
534
00:26:09,395 --> 00:26:13,330
[helicopter sputtering]
535
00:26:13,330 --> 00:26:16,540
We can't really move much
around here without the rope on.
536
00:26:16,540 --> 00:26:18,024
[John] No.
537
00:26:18,024 --> 00:26:19,543
And although anything big
is still gonna be obvious,
538
00:26:19,543 --> 00:26:22,201
there may be smaller things
that are a little bit hidden,
539
00:26:22,201 --> 00:26:23,409
but just notice,
540
00:26:23,409 --> 00:26:24,548
see how there's some
rocks in the snow there.
541
00:26:24,548 --> 00:26:26,792
So there is an
active rockfall area,
542
00:26:26,792 --> 00:26:29,415
so just be on the
listen and look out
543
00:26:29,415 --> 00:26:30,968
for anything coming down there.
544
00:26:31,969 --> 00:26:34,696
[dramatic music]
545
00:26:44,430 --> 00:26:46,535
When we first saw the
snow after those fires,
546
00:26:46,535 --> 00:26:50,436
it was caramel-colored,
and really abnormally wet
547
00:26:50,436 --> 00:26:51,402
to walk across.
548
00:26:53,335 --> 00:26:55,544
It was pretty clear that
the dust was changing
549
00:26:55,544 --> 00:26:56,787
the albedo of the snow.
550
00:26:58,686 --> 00:27:00,032
In the simplest terms,
551
00:27:00,032 --> 00:27:02,655
you can think of albedo
as the amount of light
552
00:27:02,655 --> 00:27:04,484
that's reflected from a surface.
553
00:27:06,072 --> 00:27:10,214
Pure white snow has an
incredibly high albedo.
554
00:27:10,214 --> 00:27:14,218
About 90% of all of the sun's
radiation is bounced safely
555
00:27:14,218 --> 00:27:18,913
back into space, keeping the
surface and our planet cool.
556
00:27:20,397 --> 00:27:23,400
But when contaminants like
ash from distant bushfires
557
00:27:23,400 --> 00:27:27,335
tarnish the surface,
they change the albedo.
558
00:27:27,335 --> 00:27:30,718
The darker things get,
the lower the albedo,
559
00:27:30,718 --> 00:27:33,168
meaning more
sunlight is absorbed.
560
00:27:33,168 --> 00:27:35,619
This means the ice
will begin to melt.
561
00:27:36,827 --> 00:27:38,104
[Phil] Did you
see the ash layers
562
00:27:38,104 --> 00:27:39,658
still really visible
in the seracs down?
563
00:27:39,658 --> 00:27:41,798
Oh, you can even see
it from here actually.
564
00:27:41,798 --> 00:27:42,971
[Researcher] Oh
yes, you can too,
565
00:27:42,971 --> 00:27:45,284
and the ones further
down as well.
566
00:27:45,284 --> 00:27:47,631
I thought it was gonna
be gone on the first storm,
567
00:27:47,631 --> 00:27:49,219
that we'd never see it again,
568
00:27:49,219 --> 00:27:52,015
and therefore it'd be just
a fleeting summertime thing,
569
00:27:52,015 --> 00:27:53,395
and as soon as the
first storm came,
570
00:27:53,395 --> 00:27:55,570
it would just be buried
and you'd never see it.
571
00:27:55,570 --> 00:27:58,366
But two winters it's gone
through, and it's still there.
572
00:27:59,505 --> 00:28:00,989
[gentle music]
573
00:28:00,989 --> 00:28:03,129
[Allison] There may be
more to the albedo story,
574
00:28:03,129 --> 00:28:06,477
than just the ash
from distant fires.
575
00:28:06,477 --> 00:28:08,479
This ash might be providing food
576
00:28:08,479 --> 00:28:10,274
for something living in the ice,
577
00:28:11,862 --> 00:28:14,727
which is why the glaciers
are turning blood-red.
578
00:28:16,625 --> 00:28:19,559
Snow algae are these
single cell organisms
579
00:28:19,559 --> 00:28:20,768
that are just like plants.
580
00:28:20,768 --> 00:28:24,426
They photosynthesize,
and living in the snow,
581
00:28:24,426 --> 00:28:26,118
they're this bright red color,
582
00:28:26,118 --> 00:28:30,536
that turns the snow into
sort of a watermelon slushy.
583
00:28:30,536 --> 00:28:32,262
Under the right conditions,
584
00:28:32,262 --> 00:28:35,403
snow algae can
explode in population,
585
00:28:36,507 --> 00:28:38,855
just like algal
blooms in the oceans.
586
00:28:40,235 --> 00:28:41,720
[Phil] One of the things
we want to find out,
587
00:28:41,720 --> 00:28:44,343
is if the bushfire ash
can trigger these blooms.
588
00:28:45,827 --> 00:28:47,449
So, we're on the hunt for algae.
589
00:28:48,830 --> 00:28:51,315
[Researcher] We're gonna
have to go down over the side,
590
00:28:51,315 --> 00:28:53,559
and find somewhere where
it's been blown off.
591
00:28:53,559 --> 00:28:55,561
So we can see the the old snow,
592
00:28:55,561 --> 00:28:57,011
which has some color to it,
593
00:28:57,011 --> 00:28:59,807
and might have some
organisms in there.
594
00:28:59,807 --> 00:29:02,499
[wind whistling]
595
00:29:03,914 --> 00:29:05,744
[Phil] Where mate, over
by the rocks you reckon?
596
00:29:05,744 --> 00:29:06,745
[Researcher] Yeah.
597
00:29:09,299 --> 00:29:10,300
[Phil] No?
598
00:29:11,680 --> 00:29:12,509
You mean here?
599
00:29:13,959 --> 00:29:15,581
There's probably a
big hole under that.
600
00:29:15,581 --> 00:29:18,204
[pensive music]
601
00:29:18,204 --> 00:29:20,655
There might be quite
good if I can get to it.
602
00:29:20,655 --> 00:29:23,313
[pensive music]
603
00:29:25,246 --> 00:29:27,835
[Phil panting]
604
00:29:30,389 --> 00:29:32,460
Be as good as I'm
gonna get, I'm sure.
605
00:29:32,460 --> 00:29:34,600
[pole crunching]
606
00:29:34,600 --> 00:29:36,705
Oh, we found some brown snow.
607
00:29:36,705 --> 00:29:38,535
Who knows, might
have something in it.
608
00:29:40,364 --> 00:29:42,953
[gentle music]
609
00:29:44,127 --> 00:29:45,749
[Allison] They need
to get their snow sample
610
00:29:45,749 --> 00:29:48,234
back to the field lab
to check for any algae,
611
00:29:50,823 --> 00:29:53,584
especially since the
daylight is fading fast.
612
00:29:54,862 --> 00:29:57,450
[upbeat music]
613
00:30:01,627 --> 00:30:05,424
In the box, we have quite
an old field microscope.
614
00:30:05,424 --> 00:30:06,632
I thought it might
be interesting
615
00:30:06,632 --> 00:30:07,875
to have a look at these samples,
616
00:30:07,875 --> 00:30:10,463
and see if there's any
kind of life in them.
617
00:30:10,463 --> 00:30:11,637
[lamp clicks]
618
00:30:11,637 --> 00:30:12,983
Well, there will be dust.
619
00:30:14,122 --> 00:30:16,124
I don't know if
there's gonna be algae.
620
00:30:19,956 --> 00:30:21,923
[gentle music]
621
00:30:21,923 --> 00:30:25,582
There's definitely some dust
particles from the bushfires.
622
00:30:25,582 --> 00:30:29,551
I'm just looking for
something that might be alive.
623
00:30:31,001 --> 00:30:32,761
Here we go, that was easy.
624
00:30:33,935 --> 00:30:36,351
Hm, that's snow algae I think.
625
00:30:37,870 --> 00:30:41,115
So one of the ideas that I'm
developing in this project,
626
00:30:41,115 --> 00:30:45,982
is about the effect of bushfire
dust on the algae and snow.
627
00:30:45,982 --> 00:30:50,469
And one possibility is because
the dust is very high in iron
628
00:30:50,469 --> 00:30:51,711
and it's already known
629
00:30:51,711 --> 00:30:54,093
that has fertilized
the Tasman Sea,
630
00:30:54,093 --> 00:30:56,820
and led to unusually
large blooms
631
00:30:56,820 --> 00:30:58,960
of phytoplankton in the ocean.
632
00:30:58,960 --> 00:31:02,274
Whether the same thing
might happen in snow?
633
00:31:02,274 --> 00:31:05,070
If the forest
fire ash did that,
634
00:31:05,070 --> 00:31:07,141
it would be even
worse for glaciers,
635
00:31:07,141 --> 00:31:09,695
because the blood red
color of snow algae
636
00:31:09,695 --> 00:31:12,111
also reduces the albedo.
637
00:31:12,111 --> 00:31:15,874
So if bushfire ash and
dust fertilizes snow algae,
638
00:31:15,874 --> 00:31:18,255
then the effect could
be twice as bad.
639
00:31:19,843 --> 00:31:21,224
Let me just break this down,
640
00:31:21,224 --> 00:31:22,915
and explain what's
happening here.
641
00:31:24,365 --> 00:31:27,920
The Australian forest fire
ash falls onto the snow,
642
00:31:27,920 --> 00:31:30,889
providing a tasty snack
for the tiny algae
643
00:31:30,889 --> 00:31:32,752
living on the glacier surface.
644
00:31:33,650 --> 00:31:34,962
With enough ash,
645
00:31:34,962 --> 00:31:36,895
they might be sent
into overdrive,
646
00:31:36,895 --> 00:31:39,414
creating massive
red algal blooms
647
00:31:39,414 --> 00:31:41,451
that look like spilled blood.
648
00:31:43,142 --> 00:31:45,386
Without the pristine
white surface
649
00:31:45,386 --> 00:31:47,491
to reflect the sun's radiation,
650
00:31:47,491 --> 00:31:50,149
the algal bloom lowers
the glacier's albedo.
651
00:31:51,633 --> 00:31:54,913
Instead of absorbing just
10% of the sun's energy,
652
00:31:54,913 --> 00:31:58,606
the glacier now absorbs
more than 30% of the heat,
653
00:31:58,606 --> 00:31:59,779
tripling the melt.
654
00:32:01,091 --> 00:32:02,748
So, the first step
of the experiment
655
00:32:02,748 --> 00:32:03,680
is to figure out
656
00:32:03,680 --> 00:32:06,027
the effect of the ash by itself,
657
00:32:06,027 --> 00:32:08,340
before we can start to
factor in the algae.
658
00:32:09,962 --> 00:32:12,585
[gentle music]
659
00:32:15,795 --> 00:32:17,314
But up here,
660
00:32:17,314 --> 00:32:19,144
you never know what weather
you're going to wake up to.
661
00:32:19,144 --> 00:32:21,560
[door thuds]
662
00:32:22,526 --> 00:32:24,252
We really need sunshine,
663
00:32:24,252 --> 00:32:28,049
ideally a perfect blue sky
because if we have patchy cloud,
664
00:32:28,049 --> 00:32:29,948
we can't correct for that,
665
00:32:29,948 --> 00:32:33,330
if the light conditions
change while measuring albedo.
666
00:32:33,330 --> 00:32:35,954
We can either do it
under perfect blue sky
667
00:32:35,954 --> 00:32:38,404
or perfect whiteout,
but nothing in between.
668
00:32:39,578 --> 00:32:41,062
I think the sun
is gonna come out
669
00:32:41,062 --> 00:32:44,410
and go away again probably,
so that's not good for us.
670
00:32:44,410 --> 00:32:47,275
But yeah, we'll just
have to see what happens.
671
00:32:47,275 --> 00:32:49,864
[upbeat music]
672
00:32:59,425 --> 00:33:00,702
[ax crunches]
673
00:33:00,702 --> 00:33:01,876
[Researcher] Once
you put the dust on,
674
00:33:01,876 --> 00:33:02,670
- it'll be all right.
- Yeah, yeah.
675
00:33:02,670 --> 00:33:04,189
[Allison] Luckily,
676
00:33:04,189 --> 00:33:07,502
we've escaped the
massive Australian forest fires this year.
677
00:33:07,502 --> 00:33:10,436
But that means Phil and
John need to mock up
678
00:33:10,436 --> 00:33:12,300
these real-world events.
679
00:33:12,300 --> 00:33:16,925
This device creates a custom,
mini dust storm on demand.
680
00:33:16,925 --> 00:33:20,860
Phil and John then use a light
sensor and a reference plate
681
00:33:20,860 --> 00:33:22,379
called the Spectralon plate,
682
00:33:22,379 --> 00:33:24,933
to see how it
changes the albedo.
683
00:33:24,933 --> 00:33:27,971
But science in the field
always takes a little bit
684
00:33:27,971 --> 00:33:29,248
of trial and error.
685
00:33:29,248 --> 00:33:30,215
[Researcher] Not on.
686
00:33:32,527 --> 00:33:33,735
[spark blitzes]
687
00:33:33,735 --> 00:33:35,116
[Researcher]
Oh, what was that?
688
00:33:35,116 --> 00:33:38,982
[Researcher] I don't
know, shouldn't happen.
689
00:33:41,433 --> 00:33:44,712
[Researcher] Might've
blown the fuse.
690
00:33:47,197 --> 00:33:48,129
[Researcher]
Have you found it?
691
00:33:48,129 --> 00:33:49,372
Oh, I know what's happened.
692
00:33:49,372 --> 00:33:51,029
It was actually touching
on one of these bolts
693
00:33:51,029 --> 00:33:52,478
just sticks out slightly, no?
694
00:33:55,240 --> 00:33:56,413
[Researcher] Hey.
695
00:33:56,413 --> 00:33:57,621
[Researcher] Yes.
696
00:33:57,621 --> 00:34:00,521
[Researcher] Phew!
697
00:34:00,521 --> 00:34:02,212
[Researcher] I don't
like seeing sparks.
698
00:34:03,386 --> 00:34:04,904
So we do five with
the Spectralon.
699
00:34:04,904 --> 00:34:06,389
[Researcher] Yep.
700
00:34:06,389 --> 00:34:08,080
[Researcher] Take it off, we
do five with the blank snow.
701
00:34:08,080 --> 00:34:09,150
Just the white snow?
702
00:34:09,150 --> 00:34:10,082
[Researcher] Yep.
703
00:34:10,082 --> 00:34:10,910
Then we apply the dust?
704
00:34:10,910 --> 00:34:12,119
[Researcher] Yep.
705
00:34:12,119 --> 00:34:13,223
[Researcher] Then we
take five measurements.
706
00:34:13,223 --> 00:34:14,500
[Researcher] Yep.
707
00:34:14,500 --> 00:34:15,708
[Researcher] Once
we've done them all,
708
00:34:15,708 --> 00:34:16,502
we can clean the
snow up after that.
709
00:34:16,502 --> 00:34:16,640
[Researcher] Yep.
710
00:34:17,676 --> 00:34:19,195
[Allison] To you and me,
711
00:34:19,195 --> 00:34:21,852
that basically means they
compare the snow's ability
712
00:34:21,852 --> 00:34:24,648
to reflect the sun's
heat before and after
713
00:34:24,648 --> 00:34:27,134
they blast it with
their mini dust storm.
714
00:34:28,894 --> 00:34:31,069
Then they'll know
exactly how much dust
715
00:34:31,069 --> 00:34:32,829
affects the glaciers' albedo.
716
00:34:34,279 --> 00:34:37,696
The clouds are just about
the worst kind of clouds,
717
00:34:37,696 --> 00:34:40,008
'cause they're wispy ones.
718
00:34:40,008 --> 00:34:42,839
That mean the light
environment changes constantly,
719
00:34:42,839 --> 00:34:44,634
which is exactly
what we don't want,
720
00:34:46,084 --> 00:34:48,362
but we might be able to
just sniffle a bit of time
721
00:34:48,362 --> 00:34:51,054
where it's perfectly clear,
if we are very lucky.
722
00:34:52,228 --> 00:34:53,160
[Researcher] So
should we turn this off
723
00:34:53,160 --> 00:34:54,920
until the clouds come around?
724
00:34:54,920 --> 00:34:58,061
[Researcher] There's a bit
of clear stuff coming maybe,
725
00:34:58,061 --> 00:34:59,476
but it's not gonna be for long.
726
00:34:59,476 --> 00:35:00,788
Yeah.
727
00:35:00,788 --> 00:35:02,479
[plate crunches]
728
00:35:02,479 --> 00:35:03,411
[Researcher]
We're not quite sure
729
00:35:03,411 --> 00:35:04,930
how long we need it for.
730
00:35:04,930 --> 00:35:06,725
We're just gonna try and do
it as quickly as possible.
731
00:35:07,829 --> 00:35:09,624
[Allison] The
clock's really ticking
732
00:35:09,624 --> 00:35:12,351
to get the science done in time,
733
00:35:12,351 --> 00:35:14,457
but no one can
control the weather.
734
00:35:15,389 --> 00:35:16,321
Ah, it's no good John.
735
00:35:16,321 --> 00:35:17,356
The cloud's over again.
736
00:35:17,356 --> 00:35:18,909
Ah, yeah.
737
00:35:18,909 --> 00:35:20,048
[Researcher] It's
gonna be tricky.
738
00:35:20,048 --> 00:35:21,602
The trouble with today is that
739
00:35:21,602 --> 00:35:23,328
it's just coming and
going all the time.
740
00:35:23,328 --> 00:35:24,432
- Just have to wait.
- [John] Yep.
741
00:35:24,432 --> 00:35:25,399
That's all we can do.
742
00:35:27,987 --> 00:35:30,542
[Allison] This is
just a classic example
743
00:35:30,542 --> 00:35:34,546
of science schools meeting
the reality of fieldwork.
744
00:35:34,546 --> 00:35:37,514
They've come all this way
with specialist equipment
745
00:35:37,514 --> 00:35:41,725
just to stand here and
stare at the sky for hours.
746
00:35:43,175 --> 00:35:45,695
But scientists are
famously patient.
747
00:35:47,145 --> 00:35:47,973
[Researcher] It might
be all right John,
748
00:35:47,973 --> 00:35:49,181
it's still going up or?
749
00:35:49,181 --> 00:35:50,389
[Researcher] No,
it's steady now.
750
00:35:50,389 --> 00:35:51,770
[Researcher]
Okay, let's do it.
751
00:35:53,047 --> 00:35:55,429
[Researcher] Okay, pop it on.
752
00:35:55,429 --> 00:35:57,327
[Researcher] We are
tentatively happy.
753
00:35:57,327 --> 00:35:59,778
We'll be happy when the
money's in the bank,
754
00:35:59,778 --> 00:36:01,607
when the data are
on the hard drive.
755
00:36:03,989 --> 00:36:05,370
[Researcher] All right,
now we'll put the dust on.
756
00:36:05,370 --> 00:36:06,819
[Researcher] Yeah,
you put the dust on.
757
00:36:10,271 --> 00:36:12,411
[equipment thuds]
758
00:36:12,411 --> 00:36:14,102
[Researcher] Okay.
759
00:36:16,208 --> 00:36:17,899
[Researcher] Okay.
760
00:36:21,524 --> 00:36:24,182
[Allison] This might be
their only weather window,
761
00:36:24,182 --> 00:36:27,944
so they've got to make hay
or dust while the sun shines.
762
00:36:29,221 --> 00:36:31,085
- [Researcher] Are you ready?
- [Researcher] Yep.
763
00:36:31,085 --> 00:36:31,913
[Researcher] Spectralon first.
764
00:36:31,913 --> 00:36:33,156
[Researcher] Yep.
765
00:36:33,156 --> 00:36:34,537
[Researcher] Oh,
we have to be quick.
766
00:36:34,537 --> 00:36:36,194
If not, we won't
get the last one.
767
00:36:36,194 --> 00:36:37,747
[Researcher] Yeah, got it.
768
00:36:37,747 --> 00:36:38,989
[Researcher] I'm not sure
769
00:36:38,989 --> 00:36:40,577
that we've got full
sun anymore, John.
770
00:36:40,577 --> 00:36:41,820
[Researcher] This is
the last one anyway.
771
00:36:41,820 --> 00:36:44,857
[dramatic music]
772
00:36:44,857 --> 00:36:46,618
One, two, three, four, five.
773
00:36:46,618 --> 00:36:49,448
[Researcher]
Yep, that's a wrap.
774
00:36:50,829 --> 00:36:53,141
[Researcher] I feel quite
pleased, but you know,
775
00:36:53,141 --> 00:36:55,696
it's frustrating the clouds,
776
00:36:55,696 --> 00:36:58,077
they just have to
be right for us,
777
00:36:58,077 --> 00:37:00,287
but it's good to at least
have one in the bag.
778
00:37:01,978 --> 00:37:03,186
[Researcher] It's good.
779
00:37:03,186 --> 00:37:03,980
[Researcher] We've
got some numbers
780
00:37:03,980 --> 00:37:04,739
to play with at least.
781
00:37:04,739 --> 00:37:06,465
[ice jiggling]
782
00:37:06,465 --> 00:37:09,088
[gentle music]
783
00:37:11,470 --> 00:37:14,128
[Researcher] Another day of
pushing back the frontiers.
784
00:37:14,128 --> 00:37:16,855
[woman laughing]
785
00:37:19,064 --> 00:37:20,686
[Researcher] That's
a relief today.
786
00:37:20,686 --> 00:37:22,895
We've been organizing
and thinking about this
787
00:37:22,895 --> 00:37:24,345
for such a long time, I mean,
788
00:37:24,345 --> 00:37:26,485
it's been years that's sort
of in the making really.
789
00:37:26,485 --> 00:37:27,969
And it all came together.
790
00:37:27,969 --> 00:37:31,697
We recorded something
like a 160 files,
791
00:37:31,697 --> 00:37:34,459
and each file would have at
least a couple of thousand
792
00:37:34,459 --> 00:37:35,460
data points on them.
793
00:37:36,944 --> 00:37:38,670
So today, we looked at albedo
794
00:37:38,670 --> 00:37:40,810
from different amounts
of dust on the snow.
795
00:37:42,260 --> 00:37:44,400
We need to analyze
all of our data,
796
00:37:44,400 --> 00:37:46,505
but ultimately we'll be
able to say what the effect
797
00:37:46,505 --> 00:37:48,335
of the bushfire
dust is on melting.
798
00:37:49,681 --> 00:37:51,752
Then we can go one step further
and grow the snow algae,
799
00:37:51,752 --> 00:37:54,064
to see if they can
change things even more.
800
00:37:54,927 --> 00:37:55,997
[gentle music]
801
00:37:55,997 --> 00:37:58,068
Just looking at the plots today,
802
00:37:58,068 --> 00:38:00,623
you could see it had
an effect, like they,
803
00:38:00,623 --> 00:38:03,211
they physically changed
in their appearance.
804
00:38:04,385 --> 00:38:08,113
So clearly the bushfire
dust speeds up melting,
805
00:38:08,113 --> 00:38:10,218
and to see more or
less in real time
806
00:38:10,218 --> 00:38:12,773
what was the effect of
that, is quite sobering.
807
00:38:12,773 --> 00:38:14,740
[water trickling]
808
00:38:14,740 --> 00:38:16,639
[Allison] The fact
that the same dust
809
00:38:16,639 --> 00:38:19,400
is triggering huge
algal blooms as well,
810
00:38:19,400 --> 00:38:22,748
means the implications
could be much more severe.
811
00:38:22,748 --> 00:38:25,475
The impacts of that
albedo double whammy
812
00:38:25,475 --> 00:38:29,410
will then be felt far beyond
just the Tasman Glacier.
813
00:38:29,410 --> 00:38:31,067
Glacial systems are,
814
00:38:32,171 --> 00:38:35,830
they're of extreme
importance to humanity,
815
00:38:35,830 --> 00:38:38,419
because they act as
natural water towers.
816
00:38:38,419 --> 00:38:42,561
So in summer, they give up
their water sort of gradually,
817
00:38:42,561 --> 00:38:44,322
not in a rush like a flood.
818
00:38:44,322 --> 00:38:46,220
And so that's very
useful for things
819
00:38:46,220 --> 00:38:50,466
like hydroelectricity
generation, irrigation,
820
00:38:50,466 --> 00:38:51,881
other human uses of water.
821
00:38:53,469 --> 00:38:56,506
It's important to understand
how quickly snow melts,
822
00:38:56,506 --> 00:38:59,544
and how quickly
glaciers may recede,
823
00:38:59,544 --> 00:39:03,513
because it has this knock-on
effect to the way we use water
824
00:39:03,513 --> 00:39:04,618
as a society.
825
00:39:05,826 --> 00:39:08,415
What we're seeing now
in more recent years,
826
00:39:08,415 --> 00:39:11,245
are bushfires that are
larger, that burn longer,
827
00:39:11,245 --> 00:39:14,213
that burn hotter, that
are more prevalent.
828
00:39:14,213 --> 00:39:17,458
They're bringing all of this
material into the atmosphere
829
00:39:17,458 --> 00:39:19,667
and it's deposited
all around the world,
830
00:39:19,667 --> 00:39:22,670
including on glaciers
far, far away.
831
00:39:24,154 --> 00:39:25,535
What this means is, is that
832
00:39:25,535 --> 00:39:28,158
there's a very, very
strong linkage and feedback
833
00:39:28,158 --> 00:39:32,370
between bushfires and glacial
ecosystems around the world.
834
00:39:33,785 --> 00:39:37,409
So, these studies will help
us better predict connections
835
00:39:37,409 --> 00:39:40,481
and feedbacks that would
otherwise have been overlooked.
836
00:39:40,481 --> 00:39:42,449
[gentle music]
837
00:39:42,449 --> 00:39:45,210
Back from our mission
on Mount St. Helen's,
838
00:39:45,210 --> 00:39:46,936
I'm hoping we've not overlooked
839
00:39:46,936 --> 00:39:49,214
any potentially
life-saving microbes.
840
00:39:50,457 --> 00:39:53,114
Roberto has downed his
crampons and carabiners,
841
00:39:53,114 --> 00:39:54,392
and donned his lab coat,
842
00:39:55,531 --> 00:39:57,740
which I hope means
he has some results.
843
00:39:59,155 --> 00:40:00,915
You might be able to
see here, there's a halo,
844
00:40:00,915 --> 00:40:03,608
a huge halo around
these two bacteria here.
845
00:40:03,608 --> 00:40:06,438
So we test these
ice cave bacteria
846
00:40:06,438 --> 00:40:09,165
against bacteria that
caused disease in humans.
847
00:40:10,546 --> 00:40:14,308
[Allison] Roberto's Petri
dish is a bacterial battlefield.
848
00:40:14,308 --> 00:40:17,967
He has pitted our ice cave
microbes against close relatives
849
00:40:17,967 --> 00:40:21,419
of the untreatable strains,
to see if they can beat them.
850
00:40:22,696 --> 00:40:25,284
This one here is
Staphylococcus epidermidis,
851
00:40:25,284 --> 00:40:27,425
a close relative of
Staphylococcus aureus,
852
00:40:27,425 --> 00:40:29,357
and which can cause
skin infections.
853
00:40:29,357 --> 00:40:31,670
It's quite resistant to
antibiotic treatment.
854
00:40:31,670 --> 00:40:33,223
It can also get worse
than a skin infection.
855
00:40:33,223 --> 00:40:36,675
It can spread throughout
the blood to the whole body,
856
00:40:36,675 --> 00:40:39,195
and that's septicemia.
857
00:40:39,195 --> 00:40:40,403
And if that happens,
858
00:40:40,403 --> 00:40:42,923
and you cannot be
treated for antibiotics,
859
00:40:42,923 --> 00:40:44,027
you could end up dying.
860
00:40:45,339 --> 00:40:46,961
So those two bacteria,
861
00:40:46,961 --> 00:40:50,586
the ice cave bacteria in
the middle of those halos
862
00:40:50,586 --> 00:40:52,588
are producing some
sort of a chemical,
863
00:40:52,588 --> 00:40:53,968
probably an antibiotic.
864
00:40:53,968 --> 00:40:55,556
Oh wow.
865
00:40:55,556 --> 00:40:58,283
Is this the holy grill
we've been looking for?
866
00:41:00,630 --> 00:41:03,461
We know there are super
strains of microbes out there,
867
00:41:03,461 --> 00:41:06,912
impervious to any kind of
antibiotic we throw at them,
868
00:41:08,327 --> 00:41:10,295
but they've never met
the extremophile bacteria
869
00:41:10,295 --> 00:41:12,815
that we found
inside the volcano,
870
00:41:12,815 --> 00:41:15,783
and they've not evolved
defenses against their attacks.
871
00:41:17,164 --> 00:41:19,684
But we're seeing here,
could be the start
872
00:41:19,684 --> 00:41:22,238
of a brand new
antibiotic treatment.
873
00:41:23,653 --> 00:41:25,413
So it's actually really
exciting that we are finding
874
00:41:25,413 --> 00:41:28,555
ice cave bacteria that
are making an antibiotic,
875
00:41:28,555 --> 00:41:30,557
that is killing off a relative
876
00:41:30,557 --> 00:41:34,388
of an extremely dangerous
disease-causing human pathogen.
877
00:41:35,527 --> 00:41:36,459
It's so cool,
it's really cool.
878
00:41:36,459 --> 00:41:37,736
- [Roberto laughs]
- Yeah.
879
00:41:39,186 --> 00:41:42,051
We're in this arms
race against bacteria,
880
00:41:42,051 --> 00:41:45,226
and we're trying to develop
tools to combat them.
881
00:41:45,226 --> 00:41:47,919
As we develop more tools
to fight back against them,
882
00:41:47,919 --> 00:41:50,335
they develop adaptations
to fight back
883
00:41:50,335 --> 00:41:51,923
against those antibiotics.
884
00:41:53,407 --> 00:41:56,514
And so, how remarkable is
it, that in this expedition,
885
00:41:56,514 --> 00:41:58,619
we've found solutions,
886
00:41:58,619 --> 00:42:01,795
compounds that could
save our lives today
887
00:42:01,795 --> 00:42:04,073
and the lives of
future generations.
888
00:42:06,558 --> 00:42:09,527
And extreme microbes
aren't the only lifeforms
889
00:42:09,527 --> 00:42:13,116
hidden in our ice that could
revolutionize medical science.
890
00:42:14,014 --> 00:42:16,085
[dramatic music]
891
00:42:16,085 --> 00:42:19,467
I'm actually traveling not
far from Mount St. Helen's.
892
00:42:20,848 --> 00:42:23,989
I'm traveling about 50 miles
North to Mount Rainier,
893
00:42:23,989 --> 00:42:25,473
to find the largest creature
894
00:42:25,473 --> 00:42:28,925
to actually live within the ice.
895
00:42:28,925 --> 00:42:31,549
They've rarely been
captured on camera,
896
00:42:31,549 --> 00:42:34,517
but this is what
I'm looking for.
897
00:42:34,517 --> 00:42:35,622
Ice worms.
898
00:42:35,622 --> 00:42:38,625
This footage is amazing
and really rare.
899
00:42:38,625 --> 00:42:40,212
So few people have seen them,
900
00:42:40,212 --> 00:42:43,457
and I mean they're a
complete mystery to us.
901
00:42:44,838 --> 00:42:47,841
This is one of the only
places in the world
902
00:42:47,841 --> 00:42:50,188
where you can find ice worms.
903
00:42:50,188 --> 00:42:52,190
Few animals have evolved to live
904
00:42:52,190 --> 00:42:54,779
in such an inhospitable habitat.
905
00:42:54,779 --> 00:42:57,091
Looking at organisms that
live in extreme environments,
906
00:42:57,091 --> 00:42:59,266
they have these
amazing adaptations
907
00:42:59,266 --> 00:43:01,717
that have evolved over
millennia, and as humans,
908
00:43:01,717 --> 00:43:04,754
you have to think, what do they
know about their environment
909
00:43:04,754 --> 00:43:06,549
that we can learn from them.
910
00:43:06,549 --> 00:43:08,516
[dramatic music]
911
00:43:08,516 --> 00:43:11,554
Ice worms aren't easy to find,
912
00:43:11,554 --> 00:43:13,521
but I'm determined
to track them down,
913
00:43:13,521 --> 00:43:16,007
because I've heard their
adaptations could save lives.
914
00:43:16,007 --> 00:43:17,940
Hey Scott, finally
great to meet you.
915
00:43:17,940 --> 00:43:19,182
Hey Alli.
916
00:43:19,182 --> 00:43:20,632
Scott is one of the
few people in the world
917
00:43:20,632 --> 00:43:23,566
who knows where
to find ice worms.
918
00:43:23,566 --> 00:43:25,016
[helicopter whining]
919
00:43:25,016 --> 00:43:28,744
The only problem is, getting
to them won't be easy.
920
00:43:28,744 --> 00:43:31,436
[pensive music]
921
00:43:34,025 --> 00:43:37,097
This year we had a
really wet, snowy spring,
922
00:43:37,097 --> 00:43:40,272
and so there's a lot more
snow up here than usual.
923
00:43:40,272 --> 00:43:42,102
So, we'll hopefully get a sense
924
00:43:42,102 --> 00:43:44,242
of what route we wanna take.
925
00:43:44,242 --> 00:43:46,624
[pensive music]
926
00:43:46,624 --> 00:43:50,110
So, Mount Rainier actually
is a pretty dangerous place.
927
00:43:50,110 --> 00:43:53,631
It's one of the snowiest
places in the United States.
928
00:43:53,631 --> 00:43:57,842
On average, it gets 15
meters of snow each year,
929
00:43:57,842 --> 00:43:59,119
and with that
amount of snowfall,
930
00:43:59,119 --> 00:44:03,537
there are inherent
dangers, avalanches,
931
00:44:03,537 --> 00:44:06,264
serac falls and crevasses.
932
00:44:07,748 --> 00:44:09,957
You can just see how intense
933
00:44:09,957 --> 00:44:12,926
and extreme that environment is.
934
00:44:12,926 --> 00:44:17,102
There's tons of snow, but
lots of jagged mountain edges.
935
00:44:17,102 --> 00:44:19,380
So this big ice ball here
is the Nisqually ice ball,
936
00:44:19,380 --> 00:44:22,590
and it's one of the main places
that has a lot of ice worms.
937
00:44:22,590 --> 00:44:25,421
All these little cracks
are 20-feet wide,
938
00:44:25,421 --> 00:44:27,457
and 40 or 60-feet deep.
939
00:44:27,457 --> 00:44:30,253
This mountain holds most of
the ice in the lower 48 states,
940
00:44:30,253 --> 00:44:32,428
in the lower
latitudes of the US.
941
00:44:32,428 --> 00:44:34,188
So if there's a place
to really understand
942
00:44:34,188 --> 00:44:36,639
the future of ice worms and
what's going on with them,
943
00:44:36,639 --> 00:44:37,467
it's here.
944
00:44:37,467 --> 00:44:39,055
[pensive music]
945
00:44:39,055 --> 00:44:42,610
From the air, we've picked
out a potentially safe route,
946
00:44:42,610 --> 00:44:45,855
but we still need support
from Scott's colleague Peter,
947
00:44:45,855 --> 00:44:48,271
and a pair of local
mountain guides.
948
00:44:49,479 --> 00:44:53,000
And it's about 2.1
miles from here,
949
00:44:53,000 --> 00:44:55,934
and 1800 feet of elevation.
950
00:44:55,934 --> 00:45:00,870
[dramatic music]
[ice crunches]
951
00:45:03,597 --> 00:45:05,357
This mountain is enormous,
952
00:45:05,357 --> 00:45:07,774
and it creates its
own weather system.
953
00:45:07,774 --> 00:45:11,225
Can really feel the
power of nature up here.
954
00:45:13,193 --> 00:45:17,128
5 billion ice worms can
live on a single glacier.
955
00:45:17,128 --> 00:45:18,854
How do they do it?
956
00:45:18,854 --> 00:45:21,649
[dramatic music]
957
00:45:22,996 --> 00:45:24,273
[Scott] Well, what's
pretty wild is that, I mean,
958
00:45:24,273 --> 00:45:25,895
they're ice worms,
they live in ice,
959
00:45:25,895 --> 00:45:28,415
but you set them to be this
like really cold, tolerant,
960
00:45:28,415 --> 00:45:29,727
extreme organism,
961
00:45:31,867 --> 00:45:33,420
but they can't freeze.
962
00:45:33,420 --> 00:45:35,146
They freeze, they die.
963
00:45:35,146 --> 00:45:36,319
[Allison] But that's
right on the edge.
964
00:45:36,319 --> 00:45:37,873
[Scott] They're
living right on the edge
965
00:45:37,873 --> 00:45:38,805
of what they can tolerate,
966
00:45:38,805 --> 00:45:40,185
but they do really well here.
967
00:45:45,190 --> 00:45:48,055
Ooh, Scott, is
this the ice worm?
968
00:45:48,055 --> 00:45:49,608
This little thing, right here.
969
00:45:49,608 --> 00:45:50,678
[Scott] Oh yeah, it is.
970
00:45:50,678 --> 00:45:52,957
[gentle music]
971
00:45:52,957 --> 00:45:54,165
[Allison] Is it okay to
972
00:45:54,165 --> 00:45:55,097
[Scott] Yeah, yeah,
yeah, pick it up.
973
00:45:55,097 --> 00:45:55,891
[Allison] just keep it up.
974
00:45:55,891 --> 00:45:56,926
[Scott] Yeah.
975
00:45:56,926 --> 00:45:58,169
And kind of look at it.
976
00:45:59,446 --> 00:46:01,897
I mean, he's moving.
977
00:46:01,897 --> 00:46:03,519
So they're the largest
organism on earth
978
00:46:03,519 --> 00:46:06,108
that spends its whole life cycle
in ice, so they're totally-
979
00:46:06,108 --> 00:46:07,903
Whoa, whoa, whoa,
back it up, largest.
980
00:46:07,903 --> 00:46:09,111
So this is the largest?
981
00:46:09,111 --> 00:46:10,112
[Scott] I mean, we
would love to be wrong,
982
00:46:10,112 --> 00:46:11,665
[Allison] Glacier ice.
983
00:46:11,665 --> 00:46:13,184
I would love to hear about
something newly discovered.
984
00:46:13,184 --> 00:46:14,599
[Peter] Glacial megafauna.
985
00:46:14,599 --> 00:46:15,842
Yeah.
986
00:46:15,842 --> 00:46:19,086
So every day they have
this cyclical emergence,
987
00:46:19,086 --> 00:46:20,536
where they'll come out,
988
00:46:20,536 --> 00:46:22,055
they'll come to the
surface later in the day,
989
00:46:22,055 --> 00:46:24,505
to get some sunshine,
but also to feed.
990
00:46:25,955 --> 00:46:29,269
[Allison] Life for an ice
worm is no walk in the park.
991
00:46:29,269 --> 00:46:31,581
To eat, they have to
come up to the surface
992
00:46:31,581 --> 00:46:33,204
to snack on snow algae,
993
00:46:34,412 --> 00:46:36,345
but the surface can
be deadly for them.
994
00:46:38,865 --> 00:46:40,349
Despite their name,
995
00:46:40,349 --> 00:46:45,354
ice worms will die just
0.1 degrees below freezing,
996
00:46:46,804 --> 00:46:48,529
and the glacier's surface
temperature swings massively
997
00:46:48,529 --> 00:46:50,083
from day to night.
998
00:46:50,083 --> 00:46:52,361
So the worm's time
window is small.
999
00:46:53,845 --> 00:46:55,640
So where have they
all been hiding?
1000
00:46:56,503 --> 00:46:57,435
[pensive music]
1001
00:46:57,435 --> 00:46:59,851
[ice cracking and booming]
1002
00:46:59,851 --> 00:47:02,889
This is what is
happening below the ice.
1003
00:47:04,511 --> 00:47:05,926
At night,
1004
00:47:05,926 --> 00:47:08,687
the temperatures on the surface
drop well below freezing,
1005
00:47:10,137 --> 00:47:13,692
but just under the surface
there's an insulated oasis
1006
00:47:13,692 --> 00:47:16,972
for the ice worms that hovers
just above the freezing point.
1007
00:47:18,594 --> 00:47:19,871
When the sun rises,
1008
00:47:19,871 --> 00:47:22,943
its warmth slowly starts
to make its way down
1009
00:47:22,943 --> 00:47:25,290
to the ice worm sanctuary.
1010
00:47:25,290 --> 00:47:28,431
The rising temperature
eventually warms enough of the ice
1011
00:47:28,431 --> 00:47:30,848
to allow the worms to
safely travel to the surface
1012
00:47:30,848 --> 00:47:32,332
where the can feed.
1013
00:47:35,714 --> 00:47:38,441
Question is, are the
conditions right today
1014
00:47:38,441 --> 00:47:40,271
for the worms to
make their commute?
1015
00:47:44,378 --> 00:47:46,415
[upbeat music]
1016
00:47:46,415 --> 00:47:47,243
There they are.
1017
00:47:48,313 --> 00:47:50,384
This is incredible, Scott.
1018
00:47:50,384 --> 00:47:52,352
There's really a lot of them.
1019
00:47:52,352 --> 00:47:54,906
[upbeat music]
1020
00:47:56,770 --> 00:47:59,669
They're really just like
emerging out of the snow.
1021
00:47:59,669 --> 00:48:01,119
You can actually
see some of them,
1022
00:48:01,119 --> 00:48:05,365
like this one right here,
it's clearly an on the way up.
1023
00:48:05,365 --> 00:48:06,745
Wow.
1024
00:48:06,745 --> 00:48:08,747
It's like a meadow of worms.
1025
00:48:08,747 --> 00:48:11,336
[upbeat music]
1026
00:48:13,649 --> 00:48:16,894
These ice worms are emerging
out of the snow pack
1027
00:48:16,894 --> 00:48:18,516
as I speak.
1028
00:48:18,516 --> 00:48:20,069
It's incredible.
1029
00:48:20,069 --> 00:48:23,866
Just in a matter of
maybe 10 to 15 minutes,
1030
00:48:23,866 --> 00:48:27,283
there's hundreds of ice
worms surrounding me.
1031
00:48:27,283 --> 00:48:30,321
Just take a look at the
surface of the snow,
1032
00:48:30,321 --> 00:48:33,220
and this is just
right within my reach,
1033
00:48:33,220 --> 00:48:34,842
centimeters away from me.
1034
00:48:34,842 --> 00:48:39,468
There's ice worms everywhere,
literally everywhere.
1035
00:48:40,918 --> 00:48:44,093
Now that we've found them,
our work can really begin.
1036
00:48:45,474 --> 00:48:47,683
These worms have adaptations
that help them survive
1037
00:48:47,683 --> 00:48:49,927
more than just the
shifting temperatures.
1038
00:48:51,549 --> 00:48:53,102
Scott is studying their genes
1039
00:48:53,102 --> 00:48:55,518
to try and unravel
these mysteries.
1040
00:48:57,106 --> 00:48:59,729
There's really a lot
of them coming out.
1041
00:48:59,729 --> 00:49:02,042
[Scott] Yeah, let's grab
a few for the genomic work.
1042
00:49:02,042 --> 00:49:04,665
[Allison] Let me just
get my hands ready.
1043
00:49:06,046 --> 00:49:07,565
They're the perfect candidate
1044
00:49:07,565 --> 00:49:10,671
for understanding the extremes
of UV tolerance in animals.
1045
00:49:10,671 --> 00:49:13,951
I mean, they live in some of
the most UV-intense places
1046
00:49:13,951 --> 00:49:15,711
in the world.
1047
00:49:15,711 --> 00:49:17,195
Yeah, I mean,
1048
00:49:17,195 --> 00:49:18,956
this environment isn't just
extreme because it's cold.
1049
00:49:18,956 --> 00:49:20,785
I mean it's also
hostile, because of like,
1050
00:49:20,785 --> 00:49:23,857
there's a very, very
intense bright light
1051
00:49:23,857 --> 00:49:25,203
that we're experiencing,
1052
00:49:25,203 --> 00:49:27,343
but obviously the
worms are experiencing
1053
00:49:27,343 --> 00:49:29,104
at a whole another level.
1054
00:49:29,104 --> 00:49:32,659
Sunlight is also bouncing
back onto them from the snow.
1055
00:49:34,316 --> 00:49:35,834
We've done some tests,
1056
00:49:35,834 --> 00:49:37,767
and they're one of the most
UV-tolerant invertebrates
1057
00:49:37,767 --> 00:49:38,699
in the world,
1058
00:49:38,699 --> 00:49:40,218
if not the most UV-tolerant.
1059
00:49:40,218 --> 00:49:43,463
And so one of the ways that
they manage the UV exposure,
1060
00:49:43,463 --> 00:49:44,671
is through pigmentation.
1061
00:49:47,053 --> 00:49:50,815
This is what makes
ice worms so black.
1062
00:49:50,815 --> 00:49:53,921
It comes from the
pigment melanin,
1063
00:49:53,921 --> 00:49:56,062
covering not just
the worm's skin,
1064
00:49:56,062 --> 00:49:58,098
but also its internal organs.
1065
00:49:59,548 --> 00:50:02,689
If you extracted all of the
melanin from an ice worm,
1066
00:50:02,689 --> 00:50:05,864
it wouldn't look too different
from a common earthworm
1067
00:50:05,864 --> 00:50:07,487
in your garden.
1068
00:50:07,487 --> 00:50:09,558
But an earthworm
wouldn't last long
1069
00:50:09,558 --> 00:50:12,561
against the intense UV
radiation from above
1070
00:50:12,561 --> 00:50:14,183
and reflecting from below.
1071
00:50:16,013 --> 00:50:18,567
The melanin absorbs
the damaging sunlight
1072
00:50:18,567 --> 00:50:21,673
before it can affect
the worm's DNA,
1073
00:50:21,673 --> 00:50:24,297
meaning it can also
sit longer in the sun,
1074
00:50:24,297 --> 00:50:25,850
keeping it warm.
1075
00:50:25,850 --> 00:50:28,404
I'm suspicious that
these worms are doing
1076
00:50:28,404 --> 00:50:31,718
more than just blocking
out the UV through melanin,
1077
00:50:31,718 --> 00:50:34,790
that they actually have
really high-powered DNA
1078
00:50:34,790 --> 00:50:36,412
and repair pathways.
1079
00:50:36,412 --> 00:50:40,623
[bell chimes]
[cells trickling]
1080
00:50:40,623 --> 00:50:42,763
Damaged DNA in
humans can cause
1081
00:50:42,763 --> 00:50:45,387
all sorts of medical ailments.
1082
00:50:45,387 --> 00:50:46,595
For example,
1083
00:50:46,595 --> 00:50:49,011
skin cancer in humans
is often caused
1084
00:50:49,011 --> 00:50:51,910
by overexposure to UV radiation,
1085
00:50:51,910 --> 00:50:55,880
which can alter a cell's DNA
making it behave abnormally.
1086
00:50:57,054 --> 00:50:58,607
Interestingly enough,
1087
00:50:58,607 --> 00:51:01,403
ice worms live in an environment
where they're inundated
1088
00:51:01,403 --> 00:51:02,818
with UV radiation,
1089
00:51:02,818 --> 00:51:05,717
but they seem to have
mechanisms of DNA repair
1090
00:51:05,717 --> 00:51:07,202
that help them compensate
1091
00:51:07,202 --> 00:51:09,445
for that intense
amount of exposure.
1092
00:51:10,929 --> 00:51:13,518
If we could tap
into and understand
1093
00:51:13,518 --> 00:51:15,762
how they're repairing their DNA,
1094
00:51:15,762 --> 00:51:18,799
we could maybe address how
we can solve the damage
1095
00:51:18,799 --> 00:51:22,079
that's caused in cells
that cause cancer.
1096
00:51:22,079 --> 00:51:23,942
These elusive creatures promise
1097
00:51:23,942 --> 00:51:26,635
exciting medical breakthroughs.
1098
00:51:26,635 --> 00:51:28,223
So it's important to study them,
1099
00:51:28,223 --> 00:51:32,123
before climate change
transforms their habitat.
1100
00:51:32,123 --> 00:51:34,850
These ice worms are
the largest animal
1101
00:51:34,850 --> 00:51:38,888
that lives their entire
life in a glacial ecosystem,
1102
00:51:38,888 --> 00:51:42,651
but they serve as a model
for us to understand
1103
00:51:42,651 --> 00:51:45,240
what diversity exists
in the cryosphere,
1104
00:51:45,240 --> 00:51:47,345
and what that means for us.
1105
00:51:47,345 --> 00:51:50,452
What if it turns out that
ice worms hold the key
1106
00:51:50,452 --> 00:51:53,731
to understanding how
we can repair DNA
1107
00:51:53,731 --> 00:51:56,009
and reduce the risk of cancer?
1108
00:51:56,009 --> 00:51:57,424
That's a possibility.
1109
00:51:57,424 --> 00:51:59,875
We don't know yet if
that's going to happen,
1110
00:51:59,875 --> 00:52:02,395
but by being here and
studying these worms,
1111
00:52:02,395 --> 00:52:04,500
we're getting closer
to understanding
1112
00:52:04,500 --> 00:52:05,915
what they could tell us.
1113
00:52:10,196 --> 00:52:14,959
When we look at ice across
our planet, it looks barren,
1114
00:52:18,307 --> 00:52:22,449
but what we've discovered is
that it's not barren at all.
1115
00:52:22,449 --> 00:52:23,761
It's full of life,
1116
00:52:25,797 --> 00:52:29,042
but ice is still this
extreme environment,
1117
00:52:30,561 --> 00:52:34,012
and these organisms
that live on and in ice
1118
00:52:34,012 --> 00:52:36,049
are clinging onto
that environment,
1119
00:52:36,049 --> 00:52:38,983
and have these really
unique adaptations.
1120
00:52:38,983 --> 00:52:41,779
[gentle music]
1121
00:52:41,779 --> 00:52:46,024
I set out to lift the ice
off of these organisms
1122
00:52:46,024 --> 00:52:50,132
to understand their unique
power and potential.
1123
00:52:50,132 --> 00:52:53,204
And what we've seen is
that these tiny organisms
1124
00:52:53,204 --> 00:52:58,071
that live within the ice, have
the power to change the world
1125
00:52:58,071 --> 00:52:59,969
and the way we live within it.
1126
00:52:59,969 --> 00:53:02,317
[dramatic music]
1127
00:53:02,317 --> 00:53:04,767
I've seen firsthand the
changes that are happening
1128
00:53:04,767 --> 00:53:06,113
to our cryosphere,
1129
00:53:07,253 --> 00:53:09,738
and it's a race against
time for us to uncover
1130
00:53:09,738 --> 00:53:12,741
the power of living snow.
1131
00:53:12,741 --> 00:53:15,502
[dramatic music]
1132
00:53:21,059 --> 00:53:23,648
[upbeat music]
86747
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