Mark Bitter

Mark Bitter

@markcbitter.bsky.social

Postdoc at Stanford University. Interested in pop. gen., adaptation, and a wholesome scientific community. he/him

295 followers316 following91 posts

Mark Bitter reposted

Our physiological time series for the calanoid copepods of Lake Champlain is out today in Ecology! We spent a year tracking upper thermal limits, showing distinct differences between species as well as pretty substantial variation within species. doi.org/10.1002/ecy....

Mark Bitter reposted

Mark Bitter reposted

Our paper on detecting (or not) balancing selection is now out, in all its typeset beauty, in the October issue of @molbioevol.bsky.social: academic.oup.com/mbe/article/...

Max Reuter@maxreuter.bsky.social

A new preprint from the lab, with postdoc @deboraycb.bsky.social and collaborators @aidaandres.bsky.social and Tim Connallon: “Characterising the detectable and invisible fractions of genomic loci under balancing selection” www.biorxiv.org/content/10.6...

Mark Bitter reposted

the Perspective is a super interesting read. I haven't waded into the arcana of evolutionary theory since my days as an EEB major in college but this new data is a tremendously interesting intervention in the field and really shows how technology and statistics can overdetermine questions of theory

Mark Bitter @markcbitter.bsky.social

New Perspective w/ @petrovadmitri.bsky.social and Paul Schmidt! We ask what evolution-in-action studies tell us about an old question: what genetic variation matters for fitness, and what maintains it? ecoevorxiv.org/repository/v...

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We are grateful to the many colleagues who gave us feedback on this piece, to John Kelly for suggesting the term “neo-balance,” and to all members, past and present, of the Petrov and Schmidt labs!

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We also want to know whether these alleles are old or recent, whether they are broadly pleiotropic, whether they respond to specific conditions or to general ecological shifts, and how natural selection coarse-grains the environment to generate recurrent fluctuating selection.

And we need theory for a regime where many large-effect loci experience fluctuating selection at the same time, and for how populations can maintain them without an unsustainable genetic load.

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Where should the field go? We argue that time series data have a lot to teach us. We should use them to find and fine-map causal variants and then understand their functional and fitness effects.

We need to understand what stabilizes common large-effect alleles, as fluctuating selection by itself is likely not enough. Many mechanisms are possible and we need data to tell which operate: spatially varying selection, dominance reversal, storage effects, frequency dependence?

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And how important is fluctuating selection on large-effect loci for demographic inference, human disease risk, how species will respond to environmental change, and patterns like Lewontin’s paradox?

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We propose a “neo-balance” framework. It keeps most of the neo-classical model (purifying selection, positive selection, drift, linked selection) but gives balancing selection a substantial role in maintaining common, large-effect variation.

Many questions remain. For instance, how do we square GWAS findings of mostly modest effects on any one trait with the large allele frequency fluctuations, and thus strong selection, that we see in time series?

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In many of these systems, selection on the same variants changes in strength and often in direction over time. This is what you expect if fitness effects depend on context, which is the core premise of balance theory. And you can only see it by measuring allele frequencies as evolution happens.

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Across very different organisms and timescales, these studies find the same thing: hundreds of common polymorphisms with large selection coefficients (often 10% or more). Under constant directional selection such variants should fix within hundreds of generations, but they have not.

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Recently a different approach has become feasible: tracking allele frequencies as populations evolve in their natural settings. This lets us measure selection on individual variants directly, without relying on signatures that may have decayed or not yet accumulated.

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There are classic cases of balancing selection (sickle-cell/malaria, G6PD, MHC), but evidence that it is a major force genome-wide and across taxa has been lacking. We think this may be a problem of power, not biology.

The main static signature of balancing selection is an allele that stays at intermediate frequency for longer than expected under neutrality. In humans this means at least ~1 million years. Balancing selection that started more recently leaves no such signature at all.

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If balance theory is right, many common polymorphisms should have large fitness effects, be maintained by selection, and switch between being advantageous and deleterious depending on context. This can happen through selection varying in time or space, frequency dependence, dominance reversals, etc.

This debate has mostly been tested by inference from static, contemporary DNA sequences. This work established the central roles of purifying selection and drift and showed that positive selection is common. Scans for balancing selection found much less.

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The "neo-classical" view, today’s standard model, holds that each functional locus has a single best allele. Selection mostly removes variation: purifying selection purges deleterious mutations, and positive selection occasionally fixes beneficial ones. Most common variants are effectively neutral.

The main alternative is “balance theory,” championed by Dobzhansky. It rejects the idea of a single best allele. At many loci alleles are beneficial in some contexts and deleterious in others, and selection actively maintains them.

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With this paper, it was really fun to step back and think about the bigger picture: what do the strong selection and rapid adaptation we've quantified in D. melanogaster mean for the nature of genetic variation, and for fields like demographic inference, GWAS, and conservation genomics?

The Perspective centers on two competing views that fueled fierce debate throughout the mid-20th century (Muller vs. Dobzhansky, among many others). That debate was never fully settled. In brief:

I’m very grateful to all of them for building the experimental and conceptual system that made my work possible, and of course to Dmitri and Paul for their mentorship and support throughout.

Mark Bitter reposted

Mark Bitter reposted

Mark Bitter reposted

Mark Bitter reposted

Mark Bitter reposted

Cannot be more excited about the lineup for the inaugural Function of Evolving Systems GRC conference I am co-organizing with the amazing Joy Bergelson. Less than a month away: August 9 - 14, 2026. Still a few spots left! And do check out the amazing list of speakers: www.grc.org/function-of-...

grc.org2026 Function of Evolving Systems Conference GRCThe 2026 Gordon Research Conference on Function of Evolving Systems will be held in Waterville Valley, New Hampshire. Apply today to reserve your spot.

Mark Bitter reposted

Do you love amplicon sequencing? Do you want to sequence MORE amplicons, faster and at lower cost? Check out 💘CUPID-seq💘, a highly multiplexed library design that lets you sequence hundreds of amplicon samples (16S, 18S, and more!) on a single sequencing run! (1/n) 🧵 www.biorxiv.org/content/10.6...

Mark Bitter reposted

Mark Bitter reposted

I am seeking a postdoc to join my group at UCLA -- ideally the candidate would have some experience in either population genetics or microbes/microbiome (computational background needed). We have a range of projects and are happy to tailer to your interests. Please dm/email me if interested.

Mark Bitter reposted

Scientists across the career spectrum are burnt out, & people are leaving STEM in startling numbers, particularly those from under-represented groups. A lab handbook can foster a more positive research culture. By @scattercushion.bsky.social @nature.com 🧪 www.nature.com/articles/d41...

nature.comLab morale got you down? Try a handbookDocuments that lay out a research group’s ethos and practical guidelines are becoming increasingly popular in the academic community.

Mark Bitter reposted

Very excited to be going to the Annual Drosophila Research Conference @genetics-gsa.bsky.social in Chicago this March. I think #Dros26 is the hashtag. There is still time for you to register! The fly community is so welcoming and supportive—if you are new to flies please consider going.