How we can store digital data in DNA | Dina Zielinski

127,538 views ・ 2019-03-21

TED


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翻译人员: Wendy Wu 校对人员: SHUYING XU
00:12
I could fit all movies ever made inside of this tube.
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我可以把有史以来的所有电影 装进这个小管里。
00:17
If you can't see it, that's kind of the point.
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如果你看不见它,那就对了。
00:20
(Laughter)
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(大笑)
在我们理解这件事的可能性之前,
00:21
Before we understand how this is possible,
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00:24
it's important to understand the value of this feat.
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重要的是先理解这项技术的价值。
00:29
All of our thoughts and actions these days,
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现在我们所有的想法和行动,
00:31
through photos and videos --
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通过照片和视频——
00:33
even our fitness activities --
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甚至是我们的健身运动——
00:35
are stored as digital data.
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都存储在电子数据里。
00:38
Aside from running out of space
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要不是它们超出我们
00:39
on our phones,
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手机的存储空间,
00:40
we rarely think about our digital footprint.
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我们很少会去想我们到底 存储了多少电子数据。
00:43
But humanity has collectively generated more data
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但是人类已经携手创造了更多的数据,
00:47
in the last few years
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在过去的几年中,
00:48
than all of preceding human history.
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这些数据比先前 人类历史所产生的还要多。
00:51
Big data has become a big problem.
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大数据已经开始成为一个大问题。
00:55
Digital storage is really expensive,
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数字化存储很昂贵,
而且还没有一个设备 能真正经得起时间的考验。
00:58
and none of these devices that we have really stand the test of time.
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01:03
There's this nonprofit website called the Internet Archive.
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有一个非营利网站, 叫做“网络档案馆”。
01:07
In addition to free books and movies,
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除了免费的书籍和电影,
01:09
you can access web pages as far back as 1996.
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你还可以在上面找到 1996年以来的网页。
01:14
Now, this is very tempting,
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这可是非常诱人的,
01:15
but I decided to go back and look at the TED website's very humble beginnings.
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但我决定回过头来, 看看TED网站最初的样子。
01:21
As you can see, it's changed quite a bit in the last 30 years.
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可以看到,它在过去30年里改变了很多。
01:26
So this led me to the first-ever TED,
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这使我回忆起第一次的TED,
01:29
back in 1984,
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回到1984,
01:31
and it just so happened to be a Sony executive
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太巧了,正是索尼的主管
01:34
explaining how a compact disk works.
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在解释一个简单的磁盘是如何工作的。
01:37
(Laughter)
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(大笑)
01:38
Now, it's really incredible to be able to go back in time
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这是让人难以置信的事, 我们可以回到过去,
01:42
and access this moment.
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并且与那个时刻紧密相连。
01:45
It's also really fascinating that after 30 years, after that first TED,
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这也是非常让人着迷的事, 在第一次TED演讲过去的30年后,
01:50
we're still talking about digital storage.
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我们还在谈论着数字化存储。
01:54
Now, if we look back another 30 years,
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如果我们回头看看另外一个30年,
01:57
IBM released the first-ever hard drive
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1956年,IBM破天荒地发布了
02:00
back in 1956.
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它的第一个硬盘驱动器。
02:02
Here it is being loaded for shipping in front of a small audience.
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这是它正在被装载上车, 一小群人在围观。
02:07
It held the equivalent of one MP3 song
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它承载着一首MP3歌曲的内容,
02:11
and weighed over one ton.
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却重达一吨多。
02:14
At 10,000 dollars a megabyte,
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一兆字节价值1万美元,
02:16
I don't think anyone in this room would be interested in buying this thing,
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我想这里不会有人有兴趣要买它,
除非可能作为一个收藏品。
02:20
except maybe as a collector's item.
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02:22
But it's the best we could do at the time.
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但这是我们在当时最好的产品了。
02:26
We've come such a long way in data storage.
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我们在数据存储的路上走了很久。
02:29
Devices have evolved dramatically.
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设备已经显著进化了。
02:32
But all media eventually wear out or become obsolete.
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但所有载体最终都会磨损或被废弃。
02:37
If someone handed you a floppy drive today to back up your presentation,
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今天,如果有人递给你一张 软盘驱动器来备份你的演示文稿,
02:41
you'd probably look at them kind of strange, maybe laugh,
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你可能会奇怪地看着他们, 可能还会大笑,
02:44
but you'd have no way to use the damn thing.
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但你肯定不会用这个落伍的东西。
02:47
These devices can no longer meet our storage needs,
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这些设备已经不能再 满足我们的存储需求了,
虽然它们有些可以被改作其他用途。
02:51
although some of them can be repurposed.
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02:54
All technology eventually dies or is lost,
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所有的科技最终都会死亡或者消失,
02:57
along with our data,
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和我们的数据一起,
02:59
all of our memories.
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包含我们所有的记忆。
03:02
There's this illusion that the storage problem has been solved,
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有一种错觉认为存储问题已经解决了,
03:06
but really, we all just externalize it.
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但实际上,我们只是把它外化了。
03:08
We don't worry about storing our emails and our photos.
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我们不担心邮件和照片的存储。
03:12
They're just in the cloud.
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它们都在云端上。
03:15
But behind the scenes, storage is problematic.
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但是在这些场景背后, 存储问题依然存在。
03:18
After all, the cloud is just a lot of hard drives.
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毕竟,云端只是许多硬盘组成的。
03:23
Now, most digital data, we could argue, is not really critical.
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我们认为大部分电子数据都不重要。
03:27
Surely, we could just delete it.
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当然,我们还可以 轻易地删除这些数据。
03:29
But how can we really know what's important today?
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但是今天的我们怎么 知道到底什么是重要的?
03:34
We've learned so much about human history
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我们从人类历史中得到了很多信息,
03:36
from drawings and writings in caves,
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从洞穴里的壁画和文字,
03:39
from stone tablets.
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还有石碑。
03:41
We've deciphered languages from the Rosetta Stone.
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我们破译了罗塞塔石碑上的语言。
03:45
You know, we'll never really have the whole story, though.
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尽管我们还远没有了解整个故事。
03:49
Our data is our story,
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我们的数据就是我们的故事,
03:51
even more so today.
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这在今天更是这样。
03:53
We won't have our record recorded on stone tablets.
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我们不再将记录刻在石碑上。
03:57
But we don't have to choose what is important now.
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我们现在也不需要去选择 什么是重要的。
04:00
There's a way to store it all.
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有一种方法可以存储所有信息。
04:03
It turns out that there's a solution that's been around
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我们发现,这种解决方案已经存在了
04:06
for a few billion years,
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数十亿年。
04:08
and it's actually in this tube.
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它实际上就在这个小管里。
04:12
DNA is nature's oldest storage device.
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DNA是大自然最古老的存储设备。
04:15
After all, it contains all the information necessary
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毕竟,它保存着构建和 维持一个人生命的
04:19
to build and maintain a human being.
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所有必要的信息。
04:22
But what makes DNA so great?
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然而,DNA为何如此强大?
04:25
Well, let's take our own genome
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让我们来看看
04:27
as an example.
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人类的基因组,
04:28
If we were to print out all three billion A's, T's, C's and G's
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如果我们将所有30亿个A(腺嘌呤), T(胸腺嘧啶),C(胞嘧啶)
04:33
on a standard font, standard format,
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和 G(鸟嘌呤),以标准字体, 标准格式打印出来,
04:37
and then we were to stack all of those papers,
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然后我们把所有纸张叠起来,
大概会有130米高,
04:40
it would be about 130 meters high,
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04:42
somewhere between the Statue of Liberty and the Washington Monument.
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介于自由女神像和 华盛顿纪念碑的高度之间。
04:46
Now, if we converted all those A's, T's, C's and G's
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如果我们将所有这些A,T,C和G,
04:48
to digital data, to zeroes and ones,
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转换为电子数据,0和1,
04:51
it would total a few gigs.
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这不过是几场演奏会的事。
04:53
And that's in each cell of our body.
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这会发生在我们身体的每个细胞中。
04:56
We have more than 30 trillion cells.
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我们有超过30万亿的细胞。
04:59
You get the idea:
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估计你们已经想明白了:
05:01
DNA can store a ton of information in a minuscule space.
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DNA可以在一个微小的 空间存储大量信息。
05:07
DNA is also very durable,
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DNA也是持久耐用的,
05:09
and it doesn't even require electricity to store it.
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它甚至不需要供电来储存信息。
05:12
We know this because scientists have recovered DNA from ancient humans
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我们知道这些,是因为科学家 已经从生活在千万年前的
05:16
that lived hundreds of thousands of years ago.
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远古人类身上复原了DNA。
05:19
One of those is Ötzi the Iceman.
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其中一个是Ötzi冰人。
05:22
Turns out, he's Austrian.
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他是奥地利人。
05:24
(Laughter)
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(大笑)
05:25
He was found high, well-preserved,
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他被发现时正完整的保存在
05:27
in the mountains between Italy and Austria,
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意大利和奥地利之间的山中,
05:30
and it turns out that he has living genetic relatives here in Austria today.
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证明他和现在的奥地利人有基因关系。
05:34
So one of you could be a cousin of Ötzi.
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所以你们其中有人可能是Ötzi的表亲。
05:36
(Laughter)
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(大笑)
05:38
The point is that we have a better chance of recovering information
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其中的关键是,我们拥有 更好的从一个远古人类身上
修复信息的机会,
05:41
from an ancient human
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比从一台老电话上获得的更多。
05:43
than we do from an old phone.
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05:45
It's also much less likely that we'll lose the ability to read DNA
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同时,相较于任何一种 人造的设备,我们不太可能失去
05:50
than any single man-made device.
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解读DNA的能力。
05:53
Every single new storage format requires a new way to read it.
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每一种新的存储格式都要求 一种新的解读方式。
05:57
We'll always be able to read DNA.
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而我们将一直保持解读DNA的能力。
05:59
If we can no longer sequence, we have bigger problems
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如果有一天我们 不能够进行基因排序,
06:02
than worrying about data storage.
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那问题可比数据存储更令人担忧。
06:05
Storing data on DNA is not new.
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在DNA中存储数据不是新鲜事。
06:08
Nature's been doing it for several billion years.
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大自然在数十亿年中一直这么做。
06:11
In fact, every living thing is a DNA storage device.
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事实上,每一个生物 都是一个DNA存储设备。
06:16
But how do we store data on DNA?
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但是我们怎么把数据存储进DNA呢?
06:19
This is Photo 51.
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这是照片51。
06:21
It's the first-ever photo of DNA,
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这是第一张DNA的照片,
06:24
taken about 60 years ago.
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拍摄于大约60年前。
06:26
This is around the time that that same hard drive was released by IBM.
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也是大约这个时间, IBM发布了硬盘驱动器。
06:31
So really, our understanding of digital storage and of DNA have coevolved.
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可以说,我们对数字化存储的理解 和我们对基因的理解是在同步进化的。
06:37
We first learned to sequence, or read DNA,
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我们最开始是学习测序, 或者解读DNA,
06:40
and very soon after, how to write it,
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之后很快也学会了如何编辑它,
06:42
or synthesize it.
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或者合成它。
06:44
This is much like how we learn a new language.
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这很像如何学习一门新语言。
06:48
And now we have the ability to read, write and copy DNA.
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而现在我们有能力阅读、 编辑和复制DNA。
06:53
We do it in the lab all the time.
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我们一直在实验室里这么做。
06:56
So anything, really anything, that can be stored as zeroes and ones
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所以,毫不夸张的说, 任何东西可以以 0 和 1的形式
07:00
can be stored in DNA.
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存储在DNA中。
07:02
To store something digitally, like this photo,
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要以数字化的方式存储 某些内容,比如这张照片,
07:05
we convert it to bits, or binary digits.
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我们要先把它转换为比特, 或者二进制数字。
07:09
Each pixel in a black-and-white photo is simply a zero or a one.
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黑白照片中的每个像素 就代表一个 0 或 1。
07:13
And we can write DNA much like an inkjet printer can print letters on a page.
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我们可以像喷墨打印机 打字一样书写DNA。
07:18
We just have to convert our data, all of those zeroes and ones,
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我们只要将数据,所有这些 0 和1,
07:22
to A's, T's, C's and G's,
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转换为 A,T,C,G,
07:24
and then we send this to a synthesis company.
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然后将它们发送到合成公司。
07:26
So we write it, we can store it,
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这样一来,我们既可以 书写,也可以存储,
07:28
and when we want to recover our data, we just sequence it.
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当我们想要恢复数据, 只需要测序就好。
07:32
Now, the fun part of all of this is deciding what files to include.
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有意思的部分是决定要包含哪些文件。
07:36
We're serious scientists, so we had to include a manuscript
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我们是严肃的科学家, 所以我们必须留下一份手稿
07:39
for good posterity.
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给我们优秀的后代。
07:41
We also included a $50 Amazon gift card --
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我们还放入了一份 价值50美元的亚马逊礼卡——
07:44
don't get too excited, it's already been spent, someone decoded it --
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别激动,里面的余额已经被移除了——
07:47
as well as an operating system,
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还有一个操作系统,
07:50
one of the first movies ever made
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人类制作的第一部电影,
07:52
and a Pioneer plaque.
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和一个“先驱者号”金属板。
07:54
Some of you might have seen this.
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你们中可能有人见过它。
07:55
It has a depiction of a typical -- apparently -- male and female,
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它包含了代表性的信息, ——显然,包括男女性别,
07:59
and our approximate location in the Solar System,
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还有我们在太阳系中的大致位置,
08:02
in case the Pioneer spacecraft ever encounters extraterrestrials.
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以防万一“先驱者号” 太空飞船遇见了外星人。
08:06
So once we decided what sort of files we want to encode,
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一旦我们决定了 哪些类型的文件要编码,
08:09
we package up the data,
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就可以把这些数据打包,
08:11
convert those zeroes and ones to A's, T's, C's and G's,
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将这些 0 和 1 转换为 A,T,C,G,
08:14
and then we just send this file off to a synthesis company.
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然后将这个文件发送到合成公司。
08:18
And this is what we got back.
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而这,就是我们拿回来的东西。
08:20
Our files were in this tube.
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我们的文件就在这个小管里。
我们只需要对它进行测序 就可以解读其中的信息。
08:22
All we had to do was sequence it.
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08:24
This all sounds pretty straightforward,
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这听起来真的很简单,
08:27
but the difference between a really cool, fun idea
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但一个很酷、很有趣的想法,
08:30
and something we can actually use
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与我们实际运用之间的不同之处,
08:32
is overcoming these practical challenges.
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在于战胜实际的挑战。
08:35
Now, while DNA is more robust than any man-made device,
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而DNA虽然比任何人造设备更稳定,
08:39
it's not perfect.
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但它并不是完美的。
08:40
It does have some weaknesses.
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它也有一些弱点。
08:43
We recover our message by sequencing the DNA,
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我们可以通过DNA测序来恢复信息,
08:46
and every time data is retrieved,
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但每次数据找回,
08:48
we lose the DNA.
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这个DNA都会被破坏。
08:50
That's just part of the sequencing process.
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这只是测序过程的必要步骤。
08:53
We don't want to run out of data,
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我们不想把数据耗尽,
08:55
but luckily, there's a way to copy the DNA
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不过好在还有一种方法可以复制DNA,
08:58
that's even cheaper and easier than synthesizing it.
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甚至比合成更便宜,更容易。
09:03
We actually tested a way to make 200 trillion copies of our files,
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我们测试了这种方法, 将我们的文件复制了200万亿份,
09:08
and we recovered all the data without error.
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并精准的还原了所有数据。
09:11
So sequencing also introduces errors into our DNA,
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测序也会将误差引入DNA,
09:15
into the A's, T's, C's and G's.
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引入 A,T,C,G 中。
09:18
Nature has a way to deal with this in our cells.
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大自然有办法在细胞中处理这个问题。
09:21
But our data is stored in synthetic DNA in a tube,
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但我们的数据是存储在 小管里的合成DNA中,
09:27
so we had to find our own way to overcome this problem.
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所以我们必须找到 自己的方法来解决这个问题。
09:30
We decided to use an algorithm that was used to stream videos.
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我们决定使用传输视频时用到的算法。
09:35
When you're streaming a video,
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当你在传输视频时,
09:36
you're essentially trying to recover the original video, the original file.
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你实际上是在设法恢复 原始的视频,原始文件。
09:41
When we're trying to recover our original files,
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当我们在设法恢复原始文件时,
09:44
we're simply sequencing.
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我们只是在测序。
09:46
But really, both of these processes are about recovering enough zeroes and ones
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但实际上,这两个过程 都是在复原足够的 0 和1。
09:50
to put our data back together.
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将数据重新整合在一起。
09:52
And so, because of our coding strategy,
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所以,根据我们的编码策略,
09:54
we were able to package up all of our data
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我们能够以一种可以制造
09:57
in a way that allowed us to make millions and trillions of copies
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上万亿份拷贝的方式,将所有数据打包,
10:01
and still always recover all of our files back.
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同时仍然保证所有的文件可以复原。
10:04
This is the movie we encoded.
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这是我们编码的电影,
10:06
It's one of the first movies ever made,
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是人类创作的首批电影之一,
10:09
and now the first to be copied more than 200 trillion times on DNA.
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也是第一个在DNA中被复制出 超过200万亿份拷贝的电影。
10:14
Soon after our work was published,
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很快我们的工作被公开发表,
10:16
we participated in an "Ask Me Anything" on the website reddit.
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我们在Reddit网站上 参与了“问我任何问题”的活动。
10:20
If you're a fellow nerd, you're very familiar with this website.
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如果你是一个资深学究, 你应该对这个网站不会陌生。
10:23
Most questions were thoughtful.
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大部分问题都有很深的思考,
10:25
Some were comical.
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也有一些问题很好笑。
10:27
For example, one user wanted to know when we would have a literal thumb drive.
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比如,一个用户想知道我们什么时候 会拥有一个字面意义的拇指储存器。
10:32
Now, the thing is,
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事实上,
10:34
our DNA already stores everything needed to make us who we are.
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我们的DNA已经存储了 所有塑造了我们的必要信息。
10:38
It's a lot safer to store data on DNA
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将数据存储在DNA中,
10:42
in synthetic DNA in a tube.
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比在小管中合成DNA要安全得多。
10:46
Writing and reading data from DNA is obviously a lot more time-consuming
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在DNA中写入和读取数据, 明显比在硬盘中存储文件
10:52
than just saving all your files on a hard drive --
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更花时间——
10:55
for now.
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目前是这样。
10:57
So initially, we should focus on long-term storage.
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所以,我们首先应该 关注长期存储的问题。
11:02
Most data are ephemeral.
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大部分数据只能保存一段时间。
11:04
It's really hard to grasp what's important today,
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目前还很难提炼出哪些信息是重要的,
11:07
or what will be important for future generations.
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或者哪些对后人是重要的。
11:10
But the point is, we don't have to decide today.
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但重点是,我们不一定要马上做决定。
11:14
There's this great program by UNESCO called the "Memory of the World" program.
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联合国教科文组织有一个 叫做“世界的记忆”的项目,
11:19
It's been created to preserve historical materials
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建立这个项目的初衷是 保存历史的记忆,
11:22
that are considered of value to all of humanity.
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那些对全人类都有价值的记忆。
11:26
Items are nominated to be added to the collection,
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被选中的信息会被加入集合中,
11:29
including that film that we encoded.
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包括我们编译的那部电影。
11:32
While a wonderful way to preserve human heritage,
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而保存人类传统更好的方式,
11:35
it doesn't have to be a choice.
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不是必须做一个选择。
与其问我们这一代人,
11:38
Instead of asking the current generation -- us --
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11:41
what might be important in the future,
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在未来什么东西可能是重要的,
11:43
we could store everything in DNA.
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我们可以在DNA中存储一切。
11:47
Storage is not just about how many bytes
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存储不止是关乎有多少字节,
而是我们可以多好地保存和恢复数据。
11:50
but how well we can actually store the data and recover it.
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11:53
There's always been this tension between how much data we can generate
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一直以来,在我们会产生多少数据, 可以恢复多少数据,
11:57
and how much we can recover
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以及可以存储多少数据之间,
11:59
and how much we can store.
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都存在着矛盾。
12:01
Every advance in writing data has required a new way to read it.
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数据写入的每次进步, 都要求一种新的读取方式。
12:05
We can no longer read old media.
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我们已无法再读取 那些老旧的存储设备了。
12:08
How many of you even have a disk drive in your laptop,
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你们还有多少人的 笔记本电脑中有磁盘驱动器,
或者软盘驱动器?
12:12
never mind a floppy drive?
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12:14
This will never be the case with DNA.
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有了DNA,这些情况再也不会出现。
12:16
As long as we're around, DNA is around,
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只要我们在,DNA就存在,
12:19
and we'll find a way to sequence it.
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我们总会找到排序的方式。
12:23
Archiving the world around us is part of human nature.
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将我们周围的世界存档 是人类天性的一部分。
12:27
This is the progress we've made in digital storage in 60 years,
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这是过去60年我们数字化存储的发展,
12:31
at a time when we were only beginning to understand DNA.
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60年前我们也刚刚开始理解DNA。
12:35
Yet, we've made similar progress in half that time with DNA sequencers,
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而有了DNA测序技术,我们用一半的 时间就达到了相似的发展进度,
12:40
and as long as we're around, DNA will never be obsolete.
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而且只要我们还存在,DNA就永不过时。
12:46
Thank you.
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谢谢。
12:47
(Applause)
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(鼓掌)
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