Living Carbon (YC W20) – Trees that capture and store more carbon

Hi HN! Maddie and Patrick here. We founded Living Carbon (, a biotech company developing trees that grow faster, capture more carbon, and produce more durable wood. Our mission is to help rebalance the planet's carbon cycle using the power of plants.

We released research results indicating that photosynthesis enhanced trees grow faster and capture more carbon compared to control seedlings [1, 2]. After multiple generations of vegetatively propagated tree seedlings studied in a controlled environment, our lead photosynthesis-enhanced poplar tree seedling showed a 53% increase in above ground biomass.

Data from our molecular, morphology, and physiology analyses indicate that our photosynthesis-enhancement design works as intended. We’re continuing to study these seedlings in field trials and pilot projects across the US.

Forest carbon drawdown is one of our greatest allies in the climate crisis, but the impact of forest carbon solutions has been constrained by land-use efficiency, suitability of land to support forest stands, the growth rate of trees, and the duration of carbon storage before it is released back into the atmosphere. There are many strategies to enhance carbon capture in plants, including nitrogen fixating microbes, resistance to disease and drought, salt tolerance, decomposition resistance, and photosynthesis enhancement. Our initial focus has been two-fold: (1) improve carbon capture in trees via more efficient photosynthesis, and (2) improve carbon storage through decay-resistant wood, which slows the release of carbon through decomposition resistance.

Our approach is to use an alternative metabolic bypass pathway that allows our seedlings to break down toxic byproducts of photosynthesis using less energy. Usually, waste products of photorespiration are exported from the chloroplast to multiple organelles for metabolic cycling. Our biotechnology enables the chloroplast to break down these waste products internally and turn them into energy-rich glucose and cellulose, thereby growing faster and capturing more CO₂ over time. This method can operate across many different species and doesn't require an intensive human re-engineering process.

This process is similar to the natural process that already exists in 15% of plants, called C4 carbon fixation, which have separately evolved special features to combat photorespiration and are more photosynthetically efficient and productive. Examples of C4 plants include corn, sorghum, and sugarcane. Our strategy achieves similar results to C4 carbon fixation in the remaining 85% of C3 plants, starting with trees.

To ensure this carbon is stored for longer, we are also developing a trait to naturally slow decay by increasing metal accumulation in plants. Our trees accumulate metals from the soil, making their wood less digestible to fungi and slowing the return of CO2 to the atmosphere. As a bonus, this makes our trees uniquely well suited to land with high heavy metal concentration. We’re targeting underutilized, abandoned mine land across the U.S.—areas where trees would otherwise not grow.

If we can increase the efficiency of photosynthesis by 30-40% and if we can also reduce the decomposition rate of wood, then we will have a biological method of active drawdown that avoids the conflicting incentives, high starting costs, and requirement for ongoing and intensive management seen in methods such as direct air capture.

Living Carbon got started when Maddie read a paper on improving photosynthesis in tobacco and thought that someone should try this in trees. After talking to the author of that paper and other experts in forest biotechnology, turns out it wasn't only possible but a very good idea.

We want to help ignite hope, in our current era of climate instability, that we can use the tools of biotechnology to empower our ecosystems and help plants do what they do best. We welcome your thoughts and discussion!



Get Top 5 Posts of the Week

best of all time best of today best of yesterday best of this week best of this month best of last month best of this year best of 2023 best of 2022 yc w24 yc s23 yc w23 yc s22 yc w22 yc s21 yc w21 yc s20 yc w20 yc s19 yc w19 yc s18 yc w18 yc all-time 3d algorithms animation android [ai] artificial-intelligence api augmented-reality big data bitcoin blockchain book bootstrap bot css c chart chess chrome extension cli command line compiler crypto covid-19 cryptography data deep learning elexir ether excel framework game git go html ios iphone java js javascript jobs kubernetes learn linux lisp mac machine-learning most successful neural net nft node optimisation parser performance privacy python raspberry pi react retro review my ruby rust saas scraper security sql tensor flow terminal travel virtual reality visualisation vue windows web3 young talents

andrey azimov by Andrey Azimov