Can We Hack Photosynthesis to Feed the World? | Steve Long | TED

42,778 views ・ 2023-11-30

TED


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翻译人员: Leyu Jiang 校对人员: suya f.
00:04
Today, nearly one in 10 is food insufficient.
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如今,几乎十分之一的人口 处于食物不足的状态。
00:10
That number has been rising every year since 2014,
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而自 2014 年以来, 这个数字每年都在上升,
00:16
and it's forecast to become considerably worse
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并且预计在接下来的二到三十年中
00:19
over the next two to three decades.
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这一数字将变得相当糟糕。
00:22
This is especially true for the poorer countries of Africa and Asia,
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对于较贫穷的非洲和 亚洲国家来说尤其如此,
00:28
where the rise in demand
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那里的对粮食的需求
00:31
is outpacing the rise in our ability to supply.
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的增长速度已经超过了 我们供应能力的增长。
00:37
I want to tell you how the most important process
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我想告诉你这个星球
00:40
on the planet,
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上最重要的促进这一状态的过程,
00:41
boosting that process, photosynthesis,
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即光合作用,
00:45
could alleviate this problem.
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可以如何缓解这个问题。
00:48
How photosynthesis works
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光合作用的工作原理
00:50
is that plants remove carbon dioxide from the atmosphere,
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是植物从大气中去除二氧化碳,
00:55
then they use sunlight energy to convert that into our food,
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然后利用阳光能量。 将其转化为我们的食物,
00:58
releasing our oxygen at the same time.
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同时释放我们的氧气。
01:02
Photosynthesis is the most studied of all plant processes,
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光合作用是在所有植物经历的 化学过程中研究最多的过程,
01:08
and from that knowledge,
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而从这些知识中,
01:09
we realize that even our most productive crops
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我们意识到,
01:13
are only achieving about one fifth
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即使是我们生产力最高的作物 也只能达到该过程潜在效率
01:15
of the potential efficiency of that process.
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的五分之一左右。
01:20
As the most studied of plant processes,
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作为研究最多的种植工艺,
01:22
we realize that the efficiency is low.
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这让我们意识到这个效率很低。
01:27
Now, if we look at other genetic improvements of plants,
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现在,如果我们看 其他植物的其他基因改良,
01:33
these have typically involved one or two genes,
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这些改良通常涉及一两个基因,
01:35
for example, the shortening of the stems of rice and wheat,
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例如,缩短水稻和小麦的茎,
01:40
allowing more of the plant's biomass to go into the grain that we harvest,
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让更多的植物的生物量 进入我们收获的谷物中,
01:46
was at the core of the Green Revolution.
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这就是是绿色革命的核心。
01:49
That involved mutations in just a few genes.
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这仅涉及几个基因的突变。
01:53
But photosynthesis is a process of over 100 steps,
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但是光合作用是一个 超过 100 个步骤的过程,
01:58
each of these facilitated by a different protein
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每个步骤都由不同的蛋白质协助,
02:02
and in turn coded for by many genes.
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然后由许多基因编码。
02:06
So where do you start?
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那么从哪里开始呢?
02:09
Well, you can envisage this like a car production line.
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好吧,你可以把它想象成汽车生产线。
02:13
Imagine you've got a thousand workers.
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想象一下你有一千名员工。
02:16
Where do you place them on your line
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你把它们放在你的生产线上的哪个位置
02:18
to get the most output?
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可以获得最大的产出?
02:20
Similarly, if you consider the amount of protein in a leaf,
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同样的,如果你考虑 叶子中的蛋白质含量,
02:24
how do you distribute that between all these steps
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你如何在所有这些步骤 之间分配这些蛋白质含量,
02:27
to get the maximum efficiency?
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以获得最大效率?
02:29
If you could work that out,
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如果你能解决这个问题,
02:31
then maybe you could make progress.
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那么也许你可以取得进展。
02:33
However, to do this experimentally with all these permutations
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但是,对所有这些排列进行实验
02:38
may take decades.
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可能需要几十年的时间。
02:40
So instead, we built a digital twin of the process
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因此,取而代之的是, 我们建立了一个处理过程
02:44
in which every one of these reactions
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其中每一个反应
02:47
was described by a differential equation
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都由微分方程来描述,
02:50
producing a system that we could then numerically integrate and optimize
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从而生成一个系统,然后我们 可以对该系统进行数值整合和优化,
02:55
to pick out where should we be making changes.
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以确定我们应该在哪里进行更改。
02:59
So after three years of building this system,
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因此,在构建这个系统三年之后,
03:02
we are now ready to do our numerical integration.
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我们现在已经准备好进行数值积分了。
03:05
And it failed.
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但它失败了。
03:07
It failed miserably.
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它,惨遭失败。
03:08
(Laughter)
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(笑声)
03:10
Fortunately, another scientist at our computer center
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幸运的是,我们计算机 中心的另一位科学家
03:14
heard us talking about our problems
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听到我们在谈论我们的问题
03:17
and said, "Oh, I had exactly the same problem with my work
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并说:“哦,我在平衡火箭发动机的工作
03:23
on balancing rocket motors,
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中遇到了完全相同的问题,
03:25
and here's how I solved it."
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我是这样解决的。”
03:28
So he looked at our problem and he said,
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于是他看了我们的问题,他说:
03:30
"Oh, this is more challenging than what I'm doing."
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“哦,这比我正在做 的事情更具挑战性。”
03:33
And he worked with us.
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于是他和我们一起工作。
03:34
And using his methods,
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使用他的方法,
03:37
we were now able to numerically integrate our system,
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我们现在能够对系统进行数值整合,
03:40
and we could optimize that,
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我们可以对其进行优化,
03:42
and we could start to see places
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然后我们可以开始寻找
03:44
where we might be able to improve photosynthesis.
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可以改善光合作用的地方。
03:48
So that's just to tell you
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因此,这只是为了告诉你
03:49
that photosynthesis isn't rocket science.
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,光合作用不是火箭科学。
03:52
It's harder.
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这更难。
03:53
(Laughter)
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(笑声)
03:55
(Applause)
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(掌声)
03:59
Well, of course, models can look very attractive.
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嗯,当然,这些模型看起来很吸引人。
04:03
But when you now have to go into a muddy crop field
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但是,当你现在必须进入泥泞的农田
04:09
to show that you can actually do this,
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来证明你真的可以做到这一点时,
04:12
it doesn't look quite so pretty.
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它看起来并不那么漂亮。
04:14
But despite these challenges,
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但是,尽管面临这些挑战,
04:17
we were able to get together a team of experts
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我们还是能够召集
04:20
from Australia, Britain, China and the United States
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来自澳大利亚、英国、 中国和美国的专家团队
04:25
to work together on this.
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共同努力解决这个问题。
04:27
And this is how we work.
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这就是我们的工作方式。
04:29
We use this digital twin to say, well,
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我们用这个数字对来说,好吧,
04:32
what is the easiest change we might make that would have a big impact?
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我们可能做出的最容易 产生重大影响的改变是什么?
04:38
Then we engineer that into a crop.
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然后我们把它改造成作物。
04:43
If in the greenhouse,
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如果在温室里,
04:45
we can see that the genetically modified plant is yielding more
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我们可以看到转基 因植物的产量
04:51
than the unmodified one,
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高于未转基因植物,
04:53
then we have the acid test saying,
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那么我们的酸性测试表明,
04:57
does this actually provide a higher yield on our experimental farm?
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这真的为我们的实验农场 提供了更高的产量吗?
05:02
Now we've now made three different changes to photosynthesis,
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现在,我们已经对光合作用 进行了三种不同的改变,
05:07
each individually increasing yield by over 20 percent.
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每种变化分别使产量 提高了 20% 以上。
05:14
And I'll just tell you about --
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我只想告诉你——
05:15
(Applause)
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(掌声)
05:17
A couple of these in a little more detail.
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我会更详细地介绍其中的几个。
05:20
In one case, the digital twin said
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在一个案例中,数据对显示了一个
05:23
a protein we call SBPase
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我们称之为为 SBPase 的蛋白质
05:26
should be far more abundant in the leaf than it is.
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在叶片中的含量应该比现在高得多。
05:29
So we put in extra copies of the genes coding for that protein.
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因此,我们添加了编码 该蛋白质的基因的额外副本。
05:34
We made more of it, we got more photosynthesis,
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我们用它做得更多,光合作用更多,
05:36
we got a higher yield.
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我们得到了更多的产量。
05:38
Well, this was a bit of a mystery because ...
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好吧,这有点神秘,因为...
05:42
This protein is a tiny fraction of the leaf's total protein.
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这种蛋白质只占 叶子总蛋白质的一小部分。
05:47
So why hadn’t evolution already done this?
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那么,为什么进化还没有做到这一点呢?
05:50
A colleague pointed out to us that the ancestors of our crops
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一位同事向我们指出,我们作物的祖先是
05:54
evolved in the carbon dioxide concentration
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在二氧化碳浓度的一半的环境下
05:57
that is about half what it is today.
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进化而来的。
06:00
Aha!
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啊哈!
06:01
So we reran the model at this past CO2 concentration,
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所以我们以过去的二氧化碳浓度 重新运行了模型,
06:06
and we found now that the model was saying
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现在我们发现模型显示
06:10
well you don't need any more of this protein.
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我们不再需要这种蛋白质了。
06:12
So then we got curious, what about the future?
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然后我们开始好奇,未来呢?
06:15
In 2050, we're predicting
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我们预计到 2050 年,
06:18
a considerably higher carbon dioxide concentration.
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二氧化碳浓度将大大提高。
06:22
When we ran it at that higher concentration,
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当我们以更高的浓度运行时,
06:24
it said the benefit of increasing this protein was even greater.
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增加这种蛋白质的好处甚至更大。
06:29
Well, we couldn't easily remove carbon dioxide
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好吧,我们无法轻易地
06:33
from the air around our crop,
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从作物周围的空气中去除二氧化碳,
06:34
but we could add it.
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但我们可以添加二氧化碳。
06:36
And when we did this,
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当我们这样做时。
06:37
the model prediction was proved that we did indeed get
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模型预测被证明我们的产量确实得到了
06:41
an even bigger boost in yield.
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一个更大的提升。
06:44
So this told us that evolution has just not had time
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因此,这告诉我们,进化没有时间
06:48
to keep pace with the changes we have made
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去跟上我们在作物环境
06:51
in crop environments.
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中所做的变化。
06:54
Now, another change we've made in crop environments
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现在,我们在作物环境 方面所做的另一项改变
06:57
is to grow our crops at ever-increasing densities.
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是以不断增加的密度种植作物。
07:01
This means that there's a lot of shading within the crop.
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这意味着作物中有很多阴影。
07:05
So over the course of a day,
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因此,在一天中,
07:07
the leaves are going in and out of shade due to clouds,
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由于云层,由于太阳穿过天空,
07:11
due to the passage of the sun across the sky,
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树叶在阴凉处进进出出。
07:14
but most importantly,
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但最重要的,
07:16
shadows cast by other leaves.
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是其他树叶投下来的阴影。
07:18
Now, for photosynthesis,
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现在,对于光合作用,
07:21
when the leaf goes into the shade,
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当树叶进入阴凉处时,
07:23
it's rather like you coming out of the sunshine,
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就像你走出阳光,
07:26
going into the shade of a room,
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进入房间的阴凉处,
07:29
and it takes time for your eyes to adjust to that change.
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你的眼睛需要时间来适应这种变化。
07:33
The same is true of photosynthesis,
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光合作用也是如此,
07:35
except it adjusts rather more slowly than your eyes.
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只是它的调整速度比你的眼睛慢得多。
07:39
Over the course of the day,
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在一天中,
07:42
this slow adjustment costs productivity an estimated 20 to 40 percent.
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这种缓慢的调整估计会 使生产率降低 20% 至 40% 。
07:49
So again, using our digital twin and also other information,
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因此,再一次,利用 我们的数字对和其他信息,
07:55
we identified three proteins that we should regulate.
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我们确定了应该调节的三种蛋白质。
07:59
So we added extra copies of the genes for those proteins,
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因此,我们为这些 蛋白质添加了额外的基因拷贝,
08:03
got more of them,
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获得了更多的基因,
08:04
the leaves adapted faster to fluctuations in light.
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叶片更快地适应了光线的波动。
08:09
And in soybean on our farm
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在我们农场种植的大豆,
08:12
we got more than 20 percent increase in seed yield.
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我们的种子产量提高了 20% 以上。
08:19
(Applause)
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(掌声)
08:22
So how do we now get from these improvements
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那么,我们现在如何从这些改进中
08:27
to seed
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获得种子,
08:29
which will give greater yields where it is most needed?
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而在最需要的地方提高产量?
08:34
And I'll just give you one ongoing example.
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我只给你举一个现在还在持续的例子。
08:39
We've been working with TJ Higgins,
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我们一直在与来自澳大利亚的
08:42
a plant biotechnologist from Australia,
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植物生物技术专家 TJ希金斯(TJ Higgins)合作,
08:45
who's been working in Nigeria really for almost 20 years,
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他在尼日利亚工作了将近 20 年
08:51
developing insect-resistant cowpea.
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正在开发抗虫的鞘豆。
08:55
Cowpea is probably not what you think it is.
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豇豆可能不是你想象的那样。
09:00
Cowpea is actually a nitrogen-fixing crop
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豇豆实际上是一种与大豆
09:04
related to soybean,
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相关的固氮作物,
09:07
and it produces, like soybean, a protein-rich seed.
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它像大豆一样会产生富含蛋白质的种子。
09:11
It is, in fact the most important vegetable protein source in West Africa,
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实际上,它是西非 最重要的植物蛋白来源。
09:16
and it is often referred to as the “poor man’s meat.”
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通常被称为 “穷人的肉”。
09:21
A problem with cowpea is that a pod boring insect
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豇豆的一个问题是, 一只枯萎豆荚的昆虫
09:25
can completely destroy a family's entire crop.
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可以完全摧毁一个家庭的全部农作物。
09:30
So TJ's ...
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所以 TJ 的...
09:34
genetically modified cowpea that is insect-resistant
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具有抗虫性的转基因鞘豆
09:38
is very powerful,
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非常强大,
09:40
and TJ and his colleagues work with governments in West Africa
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TJ和他的同事与西非政府合作,
09:45
to put in place regulatory frameworks for genetically modified crops.
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为转基因作物制定了监管框架。
09:51
And now this insect-resistant cowpea is available to farmers in Nigeria,
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现在,这种抗虫的鞘豆 可供尼日利亚的农民使用,
09:57
where it's become very popular.
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在那里它已变得非常受欢迎。
09:59
This year, it was also released in Ghana.
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今年,它也在加纳发行。
10:03
So what we are now doing with TJ
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因此,我们现在对TJ所做的
10:06
is stacking our photosynthetic improvements
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是在他的抗虫能力的基础上再加
10:09
on top of his insect resistance --
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上我们对光合作用的改进——
10:12
this is all royalty-free --
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这都是免版税的——
10:15
so that these farmers will have access to seed,
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这样这些农民就能获得种子,
10:19
which will produce a crop which is insect-resistant
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从而生产出具有抗虫性
10:23
and delivers a higher yield.
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产量更高的作物。
10:26
So I hope I've shown to you that ...
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所以我希望我已经向你展示了...
10:31
by boosting photosynthesis
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通过促进光合作用,
10:34
we can relieve the risk of food insufficiency
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我们可以减轻一些最弱势食物不足的群体
10:40
for some of the most vulnerable.
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易受伤害的风险。
10:42
We can protect the environment
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我们可以通过防止
10:45
by preventing the need to go onto yet more land
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需要在更多的土地上生产食物
10:50
to produce our food.
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来保护环境。
10:51
And the possibility that we might even be able to remove carbon dioxide
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而且我们甚至有可能
10:57
from the atmosphere.
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从大气中去除二氧化碳。
10:59
A 21-century Green Revolution,
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一场 21 世纪的绿色革命,
11:02
one we so urgently need.
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我们迫切需要这场革命。
11:05
Thank you.
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谢谢大家。
11:06
(Applause)
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(掌声)
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