Synthetic biology startup Lygos raises $13M to make cleaner chemicals
techcrunch.com
techcrunch.com
That's exactly what Lygos is doing for industrial chemicals. And the beauty of the microbes Lygos is engineering -- specifically yeast -- is that they feed on sugar & water. Feed them sugar & water, and out pops specialty chemicals. This allows Lygos's microbial factories to produce industrial chemicals with sustainable inputs and with no toxic outputs.
I'm incredibly excited by the potential for synthetic biology to reinvent the way we produce all sorts of things we like to eat, wear, or make things with in the decade ahead.
> Feed them sugar & water, and out pops specialty chemicals.
Even if your culture contains microbes that produce the specialty chemical you're interested in, natural selection in the reactor favors the populations that use the least sugar and water and multiply the most. In other words, reactors are very good at growing microbes: surprise! They're quite bad at selecting for much else.
Just doing what you described is called the Evolvenator. That discovery described how to build and test the microbe, but not necessarily how to design it.
There's a fix: what if we make the interesting chemical a side effect of the kind of more efficient metabolism that's expressed by the highest-surviving population in your culture? In other words, the microbes that multiply the most make the interesting stuff by accident, usually as a consequence of the media in their reactor and a small tweak to their genetic code.
It turns out that designing a chemical pathway that is metabolically superior to a natural one and as a side effect, produces an economically valuable product, is crazy hard. It is usually harder than designing an industrial process to manufacture the economically valuable product in the first place.
That's why the article mentions that these other biotech firms "specialize" in making certain kinds of chemicals. In reality, they experiment with maybe two targets a year, and they land one that works out of 10.
You'd be wrong to judge them on their hit rate: rather, I'm just pointing out how there isn't some kind of "optimization" magic to discover efficient chemical pathways. It's incredibly hard research! And I'm always surprised (though pretty delighted) that VC finds its way to these people, because VC avoids actual science projects like the plague.
PS: The $13 million will buy things like the Sartorius bio reactor, a $1 million up front + $1-2 million a year machine capable of running automated experiments on yeast cultures in bioreactors. If you're in the business of making pickaxes instead of trying to strike gold, clearly you should make a better bioreactor. If you agree, just e-mail me.
I agree with much else of what you've said. I worked in biosynthetics with some of the Lygos teammates at another company. All-in-all it's not a bad idea, but the development time is _so_ long, especially in yeasts. It's analgous to writing assembly w/o documentation, and debugging takes months per code-change.
Or also add a competing organism that "triggers" when the concentration of byproduct is too low?
For the second idea, again, evolution ruins everything. The competing organism would do just that - compete.
Grow organism in 1,000 little reactors, measure output of X, keep top y% and repeat?
Yield may drop over time, but this way evolution is somewhat on your side.
PS: I don't expect that to work, but I am not sure what the issues are.
Naturally, all the yeast individuals in your population have slight genetic variations. Maybe millions of them. Most have your plasmid to make X.
Due to natural selection, the competing priority—let's call it the "Y" product—is reproducing * surviving as much as possible. The yeast genes that make the yeast reproduce as much as possible and survive as well as possible will eventually be the largest population in your reactor.
So if X doesn't also achieve Y, the only thing that will be left in your reactor is a population that achieves Y.
The worst thing (which is true most of the time) is that achieving X is opposed to Y. Processing some chemical in the media that doesn't translate to food for the organism is wasted metabolic resources. So for most applications you can think of, your X population will die or reproduce away its X genes.
There's nothing you can parameterize to fix this! Like Y will happen regardless of what temperatures you use, or what media you use, or how much oxygen you give the reactor. By virtue of growing something, you're optimizing for Y. Either design X to also achieve Y, or fail. Evolution is opposed to you, not on your side!
In practice today, we don't understand the biological systems design well enough to make X also achieve Y. So what happens is you grow the yeast until you have a population with maximum metabolic efficiency (i.e., maximally achieves Y), and THEN modify the yeast to do X. It dies quickly, and your left with a little bit of product. This works, but it's not viable.
bacteria is competing to reproduce the fastest, and the chemical that we want is simply a byproduct of its metabolism or pathway for reproduction
issue is, however, the byproduct has to either be the most efficient factor for reproduction, or else by natural selection it will be removed
my question is, can we use the same techniques found in tree grafting to prevent or delay natural selection, and grow our byproduct?
is the entropy at the cellular level versus at a plant level so different that the processes are "locked" in place.
does it make more sense to try and grow plants that produce malic-acid tomatoes? sure it might be harder to geow one... but once grown, you can scale it infinitely.
So essentially, the difference between the trait you want, X, and the trait that survives, Y, doesn't exist. Every Y is an X, since generations of farmers are the ones manually doing the selection.
what we really need is a way to select and ensure survival of the yeast that we want.
But it's not cost effective when producing millions of liters.
Also, if you look carefully at the Lygos website photos, you'll see the Sartorius.
1. The Rise And Fall Of The Company That Was Going To Have Us All Using Biofuels: https://www.fastcompany.com/3000040/rise-and-fall-company-wa...
2. A Biofuel Dream Gone Bad: http://fortune.com/kior-vinod-khosla-clean-tech/
http://www.dupont.com/products-and-services/fabrics-fibers-n...
The "clean" advantage of these fermentation processes is IMO greater than the "sustainable" part. You could use renewable energy to synthesize all the upstream precursors of traditionally-synthesized malonic acid (e.g. monochloroacetic acid, hydrogen cyanide) from air and seawater and it would be perfectly sustainable. But the intermediate products are hazardous to handle and there's a large waste stream of aqueous salt solutions and organic solvents. Eliminating hazardous intermediates and producing waste streams that can be handled by simple wastewater treatment makes it cheaper to build and operate facilities for these chemicals.
https://www.ncbi.nlm.nih.gov/pubmed/14580573
I met the guy (Charlie Nakamura) who developed the process. It took a hell of a long time to get everything working at useful efficiency, then a fair amount of development to get it working at scale.
Also see others in this space:
Amyris (older synthetic bio company) Zymergen (newer synthetic bio company that seems to be doing some of the same things Lygos wants to do)
Lygos is the first step towards the above scenario happen. At its heart, a cell is basically a huge finite state machine. It is programmed both through dna and proteins. Some day (and maybe Lygos already has something like this) we'll have a programming/description language to describe what a cell does/how it works. It would start with the basics. (When you see this molecule, attach this other molecule to it. When concentration of this gets too high, start doing this.) It would also have a basic support structure (nucleus/ribosomes) needed to be a functioning call. On top of this, you could program it to produce what you needed.
I never supported Trump, but I'm severely disappointed in the direction his administration is going. If he wants to make America great again, lets start researching projects like what I described above. There was a pdf posted in yesterdays posting on Germany's fusion reactor, talking about the private companies that were helping to build it. They had to come up with new manufacturing skills and tools, and are now able to use those in other jobs. That is how you make America great again.
> We propose a theoretical formalism, molecular finite automata (MFA), to describe individual proteins as rule-based computing machines. (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070173/)
A textbook I read several years ago on cellular mechanics inspired my thoughts on this, unfortunately I'm not able to find it right now. I was blown away at the time, the chapter on dna transcription strongly reminded me of programming.
People like to think of blobs interacting and not interacting, but really a cell is more of a crowded mess, see this image for a sense of scale:
http://media.tumblr.com/525082e14ba810bc539c61a646fdba93/tum...
Now picture everything in that image swirling around incredibly fast, with some parts of it (the yellow fibers) more stationary and everything else randomly zooming/bouncing around. There is no equivalent in computation.
A logic may appear to emerge from that jumble, but it's not going to behave very predictably. It takes years of work to be able to predict mechanistically just a tiny aspect of one system, much less the whole cell.
The DNA example you describe is a fascinating area, but it took ~30-50 years to get that understanding, and we still find out new things about it all the time! Now that's a really easy system to study, you can isolate its components, you have clean readouts (new DNA generated, sequencing etc.). How about everything upstream of that? The signaling chain going from the cell surface to the DNA to turn on a gene is quite long, picture at least 3 links with yet another 3 links each, which themselves have separate, independent links back into the DNA.
That's not to say we can't make assumptions and make some progress, see Marcus Colvert's lab:
But it's really, really hard, and an FSA is a quite incomplete way of describing it. Looking at the paper you sent, a useful MFA would have to be insanely large to be useful, and defining all the terms is just an impossibly large task.
Honestly, tomatoes are really efficient as is. They grow huge amounts of fruit per acre; they grow in preposterous conditions, like people's windowsills, greenhouses, fields across the world, etc. I don't mean to pick on your particular choice of example, but you really got to get into the weeds to really understand the efficiencies of agriculture.
Indeed, there's consensus that the greatest threat to agricultural efficiency are all the weaknesses of a highly-engineered monoculture. Imagine the devastation of the Florida orange harvest a few years ago due to frost, but due to a single weed.
> a cell is basically a huge finite state machine
There is a huge amount of research to create an "algebra" of synthetic biology, which is really fascinating stuff. You'd love it! You're right that a lot of what you're describing is inevitable, but there's a huge grind to get there, solving engineering problems totally orthogonal to the theoretical biology of it all.
do you have links to such research?
The fact is, even with a perfectly engineered tomato, it's hard to beat the low cost of dirt+sun.
Photosynthesis is actually fairly efficient.
As for the whole cells-are-state-machiines, while that's technically true, the state vector has a trillion parameters.
Where do you suppose sugar comes from?
More information: http://www.nnfcc.co.uk/publications/nnfcc-renewable-chemical... http://www.nnfcc.co.uk/publications/nnfcc-renewable-chemical...
https://en.wikipedia.org/wiki/Acetone%E2%80%93butanol%E2%80%...
Obsoleted by cheaper petrochemical processes, but there's renewed interest now that environmental considerations are getting more attention, so maybe it will return to commercial use some day.
[0] Yes, this Kristy Hawkins: http://www.bodybuilding.com/contest_media/2542/22122/d/img_4...