Saudat Alishayeva

@saudat.bsky.social

PhD student at MPI Tübingen, interested in evolution of morphological and functional robustness 🪰

New paper out in Phil. Trans. B! We set out to understand how seasonal migration evolves by combining a common garden experiment and scATAC-seq of the hypothalamus in ancestral migratory and derived resident populations of the Eurasian blackcap. 1/n

Differential epigenetic regulation underlies evolutionary transition of seasonal migration

Abstract. Seasonal migratory animals can evolve residency through adaptation. The threshold model of quantitative genetics predicts that residency evolves

doi.org

1. A bit of evolutionary biology. I'm really intrigued by a new perspective piece from Steve Frank that explores connections between how natural selection creates systems that generalize and recent work in machine learning about the surprising capabilities of massively overparameterized systems.

Generalization as the great leap in evolvability: insights from machine learning

Abstract. Natural selection encodes learned information in the genome. Learned solutions may be tuned specifically to past challenges, failing in altered e

academic.oup.com

I am excited to tell you about our new study led by Tyler Audet and in collaboration with Stefan Lüpold's group. Below you see two species. On the right is Drosophila melanogaster. On the left, Drosophila prolongata. Notice the highly exaggerated legs of the males in D.p! doi.org/10.1093/evol...

Two panel image of Drosophila prolongata and Drosophila melanogaster. In the top panel is a female of Drosophila prolongata on the left and a female of Drosophila melanogaster on the right. It shows that D. prolongata females are somewhat larger than melanogaster, and have spotted wings. Importantly the legs are proportional in each species.

In the bottom panel are males. On the left is a Drosophila prolongata male which is larger than all the other individuals, and has highly exaggerated legs in terms of width and length, and also has black stripes. In contrast male Drosophila melanogaster are much smaller than all the others, with normally proportioned legs.

#SMBE2026 I will talk about **evolutionary roles of non-genetic variation**. If you care about expression noise, developmental instability, microenv. variance, or selection experiments (or if you don't believe in genetic determinism), come join me in S20 "mapping fitness landscapes" (17:30, Pjerrot)

Society for Molecular Biology and Evolution@official-smbe.bsky.social · 2mo ago

#SMBE2026 S20: Mapping fitness landscapes with mechanistic models, machine learning and experiments 🗓️ Wed Jul 1, 3:50pm 🔗 smbe2026.org/programme

SMBE2026 | S20: Mapping fitness landscapes with mechanistic models, machine learning and experiments

Fun paper illustrating how serendipity can lead to new discoveries. Jay Hirsh et al sought to map a mutation that modifies a behavioral trait in Drosophila, using a modernized form of mapping by recombination. In Drosophila's early days mapping of X chromosome visible markers was very precise 1/n

Title and abstract from
https://academic.oup.com/g3journal/article/16/6/jkag095/8654668

Paper alert!🧬🐦💻 Divergent selection is the textbook explanation for narrow inversion clines. Our blackcap inversion cline doesn't fit: it is wide, and the inversion is always the rarer arrangement. We show that negative frequency-dependent selection shifting between populations underlies this!

Shifting Balancing Selection Underlies an Inversion Cline in Eurasian Blackcap

We investigated what factor contributes to a cline of a chromosomal inversion of the Eurasian blackcap, which differs from typical inversion clines maintained by divergent selection. Using a simulati...

onlinelibrary.wiley.com

New paper out @pnas.org: We explore why fly wings evolve along "lines of least resistance" and reconcile the "rate paradox" between population variation and divergence. Check out how a low dimensional model of selection on size explains it all: www.pnas.org/doi/full/10....

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

Excited to share my first preprint from my PhD w/ @justinmcrocker.bsky.social. We show that cell type-specific regulatory dominance promotes robustness and evolutionary innovation through interallelic transcriptional hubs, potentially expanding the mutational paths available to diploids. (1/18)

bioRxiv Evolutionary Biology@biorxiv-evobio.bsky.social · 5mo ago

Interallelic cis-regulatory dominance promotes robustness and evolutionary innovation https://www.biorxiv.org/content/10.64898/2026.03.17.712157v1

Take from it what you want, but it's remarkable that the Greens in Baden-Württemberg, who just won the federal state elections, are considered, at the same time, 1. the most conservative Greens in the country 2. the most consequential on environmental policies 3. the most successful on the ballot

Nancy Knowlton@nancyknowlton.bsky.social · 5mo ago

plastics are a hard problem so successes are welcome. My news to me good news for Mar 11 #EarthOptimism #OceanOptimism reasonstobecheerful.world/tubingen-ger...

New Perspective form Rory Maizels & me: "Gene regulatory networks: from correlative models to causal explanations" Gene regulatory networks are supposed to give us mechanistic explanations of development, so why are we drowning in 'hairballs' of statistical correlations? rdcu.be/e7zx7

Gene regulatory networks: from correlative models to causal explanations

Nature Reviews Genetics - In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without...

rdcu.be

🌟📣We are happy to announce another new publication on the obstetrical dilemma, co-authored by Barbara Fischer and Philipp Mitteroecker: "Over the edge: Empirical evidence for the cliff-edge model of obstetric selection" www.kli.ac.at/en/the_kli/n... Congratulations to the authors! 👏👏👏

Bild

Martí-Gómez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions. 🔗 doi.org/10.1093/molbev/msag023 #evobio #molbio #compbio

Inference and Visualization of Complex Genotype–Phenotype Maps

Abstract. Understanding how biological sequences give rise to observable traits, that is, how genotype maps to phenotype, is a central goal in biology. Yet

doi.org