Grant Kinsler

@grantkinsler.bsky.social

Postdoc at UPenn thinking about mutations, cells, and evolution.

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-...

2026 Function of Evolving Systems Conference GRC

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

grc.org

In new work by @jahn0.bsky.social and I in @jbloomlab.bsky.social, we investigate how sequence constraints differ across influenza HA subtypes. We find ~50% of sites in HA display substantially different amino-acid preferences across H3, H5, and H7. doi.org/10.64898/202...

Influenza hemagglutinin subtypes have different sequence constraints despite sharing extremely similar structures

Hemagglutinins (HA) from different influenza A virus subtypes share as little as ∼40% amino acid identity, yet their protein structure and cell entry function are highly conserved. Here we examine the extent that sequence constraints on HA differ across three subtypes. To do this, we first use pseudovirus deep mutational scanning to measure how all amino-acid mutations to an H7 HA affect its cell entry function. We then compare these new measurements to previously described measurements of how all mutations to H3 and H5 HAs affect cell entry function. We find that ∼50% of HA sites display substantially diverged preferences for different amino acids across the HA subtypes. The sites with the most divergent amino-acid preferences tend to be buried and have biochemically distinct wildtype amino acids in the different HA subtypes. We provide an example of how rewiring the interactions among contacting residues has dramatically shifted which amino acids are tolerated at specific sites. Overall, our results show how proteins with the same structure and function can become subject to very different site-specific evolutionary constraints as their sequences diverge. ### Competing Interest Statement JDB consults for Apriori Bio, Invivyd, Pfizer, GSK, and the Vaccine Company. JDB and BD are inventors on Fred Hutch licensed patents related to the deep mutational scanning of viral proteins. National Institute of Allergy and Infectious Diseases, R01AI165821, 75N93021C00015 U.S. National Science Foundation, DGE-2140004 Howard Hughes Medical Institute, https://ror.org/006w34k90

doi.org

Excited that SpaceBar is now out in Nature Methods!🥳 We combined clone tracing with spatial transcriptomics to untangle what drives gene expression in tumors: a cell's identity or its neighborhood? Most genes were driven by location, but some showed strong clonal patterns. rdcu.be/eVhpc

SpaceBar enables single-cell-resolution clone tracing with imaging-based spatial transcriptomics

Nature Methods - SpaceBar is a cellular barcoding strategy for simultaneous analysis of cell clonal and spatial identities.

rdcu.be

So excited to share this work led by @alexrob.bsky.social with Ben Kerr! We investigated a poliovirus capsid inhibitor that exploits a breakdown in the genotype-phenotype map to prevent drug resistance evolution. Or does it? See Alex's thread, but a few extras: #socialviruses #evosky #virosky 🧪

Alexander Robertson@alexrob.bsky.social · 8mo ago

My first lead author paper is out with Ben Kerr and @alisonfeder.bsky.social! We found that making an antiviral too strong can sometimes make resistance easier to evolve. This has implications for how we design drugs, choose doses, and think about viral evolution in the face of treatment. (1/n)

I am so excited to share new work on a TE insertion that regulates iridescence in swordtails, led by fantastic grad student @nadiahaghani.bsky.social and with help from many coauthors! In a time that has been so difficult to navigate, this & other projects have kept my spirits up: shorturl.at/NE65A

Insertion of an invading retrovirus regulates a novel color trait in swordtail fish

For over a century, evolutionary biologists have been motivated to understand the mechanisms through which organisms adapt to their environments. Coloration and pigmentation are remarkably variable wi...

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How is functional variation at large-effect loci maintained in natural populations, even as environments change? In a paper led by @mkarag.bsky.social, we tracked known pesticide resistant alleles in outdoor 𝘋. 𝘮𝘦𝘭𝘢𝘯𝘰𝘨𝘢𝘴𝘵𝘦𝘳 cages & inferred selection and dominance from temporal sequencing data.

Glass beads of all sorts balancing on wavy threads.

Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in @nature, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7) rdcu.be/eFrrc

Fluctuating DNA methylation tracks cancer evolution at clinical scale

Nature - Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

rdcu.be

The constant barrage of terrible news on bluesky has made me feel weird about promoting papers, but people in the lab have been doing so much amazing work over the past few months that I want to share a few brief teasers/links:

How common are frequency dependent fitness effects? New preprint out today 👇 doi.org/10.1101/2025...

Frequency-dependent fitness effects are ubiquitous

In simple microbial populations, the fitness effects of most selected mutations are generally taken to be constant, independent of genotype frequency. This assumption underpins predictions about evolutionary dynamics, epistatic interactions, and the maintenance of genetic diversity in populations. Here, we systematically test this assumption using beneficial mutations from early generations of the Escherichia coli Long-Term Evolution Experiment (LTEE). Using flow cytometry-based competition assays, we find that frequency-dependent fitness effects are the norm rather than the exception, occurring in approximately 80\% of strain pairs tested. Most competitions exhibit negative frequency-dependence, where fitness advantages decline as mutant frequency increases. Furthermore, we demonstrate that the strength of frequency-dependence is predictable from invasion fitness measurements, with invasion fitness explaining approximately half of the biological variation in frequency-dependent slopes. Additionally, we observe violations of fitness transitivity in several strain combinations, indicating that competitive relationships cannot always be predicted from fitness relative to a single reference strain alone. Through high-resolution measurements of within-growth cycle dynamics, we show that simple resource competition explains a substantial portion of the frequency-dependence: when faster-growing genotypes dominate populations, they deplete shared resources more rapidly, reducing the time available for fitness differences to accumulate. Our results demonstrate that even in a simple model system designed to minimize ecological complexity, subtle ecological interactions between closely related genotypes create frequency-dependent selection that can fundamentally alter evolutionary dynamics. ### Competing Interest Statement The authors have declared no competing interest.

doi.org

I'm excited to announce our new biorxiv preprint, wherein we investigate the evolution of the weirdest genetic locus I've ever seen! Behold the tgr genes of the social amoeba, which mediate self/non-self discrimination during facultative multicellularity 🐅 🧵 1/ www.biorxiv.org/content/10.1...

Hypermutable hotspot enables the rapid evolution of self/non-self recognition genes in Dictyostelium

Cells require highly polymorphic receptors to perform accurate self/non-self recognition. In the amoeba Dicytostelium discoideum, polymorphic TgrB1 & TgrC1 proteins are used to bind sister cells and e...

biorxiv.org

Excited to share our latest by my postdoc Ben KS: we use statistical physics & Bayesian inference to model genome-wide perturbation outcomes. Remarkably, perturbation responses are encoded in gene "chatter" even before the perturbation–a fundamental insight with broad implications shorturl.at/2LHbw

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