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Explore every episode of the podcast The New Biology

Dive into the complete episode list for The New Biology. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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1–8 of 8

TitlePub. DateDuration
How to Design Flowers — Nick Desnoyer08 oct. 202601:24:31

Nick Desnoyer, a plant biologist in Norwich, England, is designing and creating flowers that don’t exist anywhere in nature. In this interview, he reveals his next project: Paintunia, a petunia that acts as a living canvas. These petunias have an inducible gene; when you lightly touch a bud (before it opens) with a clear molecule, called dexamethasone, that molecules seeps into cells, switches on the gene, and causes them to make a pigment. The result is a paintable flower, where molecules are literally used to control which colors show up in which places. For a prior project, Nick turned Arabidopsis, a small (and quite ugly) plant widely used in research, into little pink “micro-roses.”


We filmed this episode surrounded by flowers, with Nick walking me through how each one gets its shape and pigmentation. He explained how he combines breeding and genetic engineering to make flowers, and how he searches scientific papers for mutations to figure out which plant crosses to make next. His ultimate dream is to build a botanical garden filled with weird and wonderful flowers that exist nowhere else. Thanks to Plasmidsaurus for sponsoring this episode.


Learn more and subscribe at press.asimov.com

Timestamps: 


1:28 Paintunia

7:46 Tools for flower design

18:47 Petunia patterns

33:16 Engineering new traits

40:38 Turning Arabidopsis into pink micro-roses

54:26 Getting genes into plants

1:06:02 Mutant botanical gardens

1:14:24 Beauty is sufficient

1:20:30 Flower design studio

How to Terraform Mars – Erika DeBenedictis22 sept. 202600:50:32

Pioneer Labs, a nonprofit research group, has engineered a microbe that eats Martian dirt and excretes bioplastic. It is the first step of their "five organism" plan to terraform Mars and make the planet habitable. This interview is with Erika DeBenedictis, the co-founder and CEO of Pioneer Labs.

Subscribe to Asimov Press: https://press.asimov.com

0:00 A first microbe engineered for Mars
5:03 Simulating Martian chemistry
8:27 The five "pioneer species"
17:20 Water, warming, and nitrogen
26:39 Radiation, growth rates, and poor measurements
35:49 Starship
41:05 Why create a second biosphere?

SpudCell will replicate continuously by 2030 | Kate Adamala17 sept. 202601:25:50

Chemists at the University of Minnesota, led by Kate Adamala, recently built a synthetic cell that eats, grows, and divides; purely by putting together molecules in the laboratory. Their creation, called SpudCell, can only divide for five generations. What will it take to make it grow for longer? And why bother making a synthetic cell in the first place?

Subscribe to Asimov Press: https://press.asimov.com

Chapters: 
00:00  SpudCell is not alive
05:16  How SpudCell was made
13:14  How to make a continuously replicating cell
29:48  Finding new mechanisms for cell division
40:38  What is the point of SpudCell?
54:51  Mirror life, and whether SpudCell uniquely enables it
1:14:38  Biotic, China, and 2050

Biotech for Chickens — Robert Yaman04 août 202601:24:46

A dairy cow is worth $1,000 to $2,000 to a farmer, whereas a broiler chicken, raised for meat, generates just $4 of profit. Quantifying animals this way may feel uncomfortable, but those $4 are all a farmer can spend to keep a chicken healthy. And this places some really interesting constraints on how biotechnology must be scaled (in terms of vaccines and other interventions) in the animal welfare space. 


In this episode, Robert Yaman, CEO of Innovate Animal Ag, argues that the way to improve animal welfare is to make farming more efficient rather than less. We discuss in-ovo sexing (which uses PCR or hyperspectral imaging to identify an egg's sex before it hatches, and which could help end the culling of 300 million male chicks a year); why hyperspectral cameras work on brown eggs but not white ones; and electron-beam vaccines, which shred a bacterium's DNA while leaving its surface proteins intact, thus producing a farm-specific vaccine for less than one penny per dose.


Robert also reveals publicly, for the first time, that Innovate Animal Ag is building an "accelerator farm": a commercial broiler facility that doubles as a testbed where startups can trial new technology in an industry that hasn't changed all that much in the last fifty years.


Chapters

0:00 Why animal welfare needs scalable technologies
6:40 How chickens were bred for meat and eggs
12:43 Does farm efficiency improve animal welfare overall?
23:41 How the poultry supply chain works, from hatchery to farm
32:01 In ovo sexing to prevent chick culling
47:12 Electron beams and vaccines
1:01:04 Ozempic for chickens
1:15:30 Precision farming and the Accelerator Farm

Engineered Microbes Seen from the Sky — Yonatan Chemla on Hyperspectral Biology21 juil. 202601:23:24

Scientists have studied bacteria under microscopes for 400 years. But Yonatan Chemla, a postdoctoral fellow at MIT, has developed a technology that lets us see microbes from a drone 100 meters in the air.

In this episode, we discuss the emerging field of "hyperspectral biology," which uses hyperspectral cameras (first built by NASA in the 1980s) to detect molecules with unique light-absorption signatures. With this technology, you could engineer a microbe to sense a landmine, for example, and release a pigment in response. A drone could then spot that pigment from hundreds of meters away. By spraying other types of engineered microbes over a field, they could map heavy metals, report on soil health, or find gold deposits.

But almost none of this can happen in the United States. The EPA regulates engineered microbes as chemicals under the Toxic Substances Control Act, a 1976 law that never mentions biology, and the agency seems to have approved just one product through it. As a result, many of biotechnology's most useful ideas — microbes that break down plastic, sense landmines, or remove pollution from water — never leave the laboratory.

Chapters:
[00:00:00] Introduction
[00:04:08] Applications for hyperspectral biology
[00:07:33] How to build a biosensor
[00:13:00] Molecular absorption data
[00:22:12] How hyperspectral cameras work
[00:38:15] Spatial resolution and satellite monitoring
[00:51:04] Regulations around environmental release
[01:08:44] Risk vs progress

Further Reading:
Summary of the Toxic Substances Control Act, EPA: https://www.epa.gov/laws-regulations/summary-toxic-substances-control-act
Design and regulation of engineered bacteria for environmental release, Nature Microbiology: https://www.nature.com/articles/s41564-024-01918-0
Hyperspectral reporters for long-distance and wide-area detection of gene expression in living bacteria, Nature Biotechnology: https://www.nature.com/articles/s41587-025-02622-y
Seeing microbes from the sky, Asimov Press: https://press.asimov.com/articles/hyperspectral

The Bitter Lesson for Biology — Adam Green on Virtual Cells and Scaling Laws12 juin 202601:29:34

Markov Biosciences, a startup in San Francisco, is betting that biology is about to have its GPT moment. In this episode, founder Adam Green explains the "bitter lesson" for biology, the idea borrowed from Richard Sutton that large unbiased datasets and the right training objective tend to outcompete models with hard-coded rules and human priors. Adam thinks, in particular, that the virtual cell field took a wrong turn by spending hundreds of millions of dollars collecting expensive perturbation data. Green’s counterargument is that the data needed to train useful virtual cells is not limiting, but rather compute (and the loss function) are. By treating single-cell RNA-seq as a ranking problem rather than raw counts (a century-old idea traceable to a 1927 psychophysics paper), they found that virtual cells pre-trained on plain observational data show clean scaling laws, getting monotonically better at predicting unseen perturbations as the models grow, and beating a state-of-the-art model built specifically for that task.


00:00 - Cold open and introduction 

01:58 - The first clinical prediction from a virtual cell

05:38 - What is a "virtual cell," really? 

08:01 - Single-cell RNA-seq biases and the urns analogy

23:29 - The bitter lesson for biology

30:55 - Geometric Plackett-Luce: the right loss function

59:26 Trop2 deep dive

1:11:16 - Top-down vs. bottom-up biology, mechinterp, and control as the goal 


Readings and mentions: 

Magnet-Controlled Medicines — Andrew York & Maria Ingaramo29 mai 202602:07:36

Nonfiction Laboratories is building a technology called “magnetogenetics” that promises to control proteins inside the body — such as antibodies or enzymes — using small magnets. In this episode, co-founder Maria Ingaramo and scientific advisor Andrew York explain how they engineered a protein, MagLOV, that responds strongly to magnetic fields, why most prior attempts have failed to replicate, and how the mechanism of magnetically-controlled proteins actually works. They also get into the “dream” use cases, like cancer drugs that activate only at the tumor, which might have a lower toxicity inside the body. 

This podcast is made possible by Astera Institute.

Notes from our discussion: https://nikomc.com/essays/protein-magnets.html

00:00 - Opening

00:54 — Introduction

01:35 — The dream

05:38 — Why magnets vs. light or ultrasound

10:05 — The physics

17:48 — On the name "magnetogenetics"

21:25 — Birds and cryptochromes

27:09 — Why is the field filled with so much junk?

29:51 — Adam Cohen's molecule

33:24 — Markus Meister’s debunking

38:06 — The experiment

46:22 — Finding the LOV domain

54:11 — Singlets, triplets, and cysteine

56:54 — What the magnet is actually doing

1:05:13 — The conformational-change red herring

1:12:46 — The Quantum Biology Institute

1:19:31 — Founding Nonfiction Labs

1:24:38 — How to convince skeptical investors

1:29:39 — What a magnetogenetic medicine might look like

1:38:50 — First clinical indications

1:45:12 — The regulatory path

1:48:01 — What the field needs

1:54:30 — Appendix: Whiteboard lecture

Mark Budde - How to speed up wet-lab biology08 mai 202600:57:32

Plasmidsaurus took plasmid sequencing from $600 to $15 and turned a "boring" service company idea into a hugely successful company serving 70,000+ scientists. In this episode, CEO Mark Budde and Niko McCarty get into the bigger question: what does it take for companies to automate and scale wet-lab biology methods in the same way that Plasmidsaurus did for sequencing? They cover the early Oxford Nanopore bet, the obsession with speed, and why Mark won’t sell customer data to AI labs. 

This podcast is made possible by Astera Institute.

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