Afra Salazar

@salazarafra.bsky.social

PhD student in microbial ecology and evolution at the University of Lausanne salazarafra.github.io | Literary fiction, philosophy & cinema

What a Friday, finally seeing this published in @cp-trendsmicrobiol.bsky.social! We hope this will be of interest to anyone working in the bacterial immune system field (or microbiology in general), and who wants an evolutionary take on it 🦠🧫 Open Access link: authors.elsevier.com/a/1nllx,L%7E...

Ellinor Alseth@ellinoralseth.bsky.social · 4mo ago

When is an antiphage mechanism an evolved defence adaptation? This question has been on my mind for so long, because despite the field’s rapid progress there is currently no widely agreed framework in place to answer it. So @brownlab.bsky.social and I wrote this, and I'm happy to share the preprint!

A wonderful review by Stefano on 100 years of Lotka–Volterra models. Don’t miss the incredibly detailed Supplement, truly the “War and Peace” of LV models. I really wish it had existed when I was a grad student! doi.org/10.1146/annu...

One Hundred Years of Lotka–Volterra Models

Over the past century, the generalized Lotka–Volterra (GLV) model has grown from a mathematical curiosity to a cornerstone of theoretical ecology. Here we celebrate the enduring legacy of Lotka and Vo...

doi.org

Very grateful to the editorial board for the opportunity to write about a topic I care deeply about. This review is deliberately opinionated, a personal view of where theory in community ecology stands and where it might go next. Pushback and disagreement are very welcome! doi.org/10.1146/annu...

Toward a Conceptual Commons for Theory in Community Ecology

Community ecology has developed a rich and increasingly diverse body of theory, but its rapid expansion has outpaced efforts to compare and synthesize competing frameworks. As a result, semantic ambig...

doi.org

As simulations grow in complexity, a set of non-trivial issues emerge: diminished identifiability as free parameters become too numerous relative to exp. constraints & difficulties grasping causality. In our new 📄, we point to potential avenues to move #CellBio forward 👇 arxiv.org/abs/2608.06998

Simulating is not always understanding: When model complexity obscures biology

In cell biology, computational models of biological systems range from minimal representations with a handful of parameters to whole-cell simulations tracking thousands of molecular species across a c...

arxiv.org

The Ramsey Lab@theramseylab.bsky.social · last mo.

New 📄 🚨! #CellBio is teeming with simulations comprising an extraordinarily high number of components. We argue that model complexity will not automatically lead to a better understanding of biological systems & discuss how modeling practices could be repurposed: arxiv.org/abs/2608.06998 #philsci

Ever wondered how new evolutionary individuals arise? Wanted to engineer communities so the parts integrate to form a new whole? Or impose conditions that cause simple chemistries to become Darwinian? New MS shows how. Psst… don’t tell AI www.biorxiv.org/content/10.6...

Forging an evolutionary individual from separate replicators

A central puzzle in the evolution of individuality is the origin of heredity. Egalitarian transitions integrate formerly independent replicators into a higher-level individual, but this requires the c...

biorxiv.org

Our paper unpacking "fitness" is out doi.org/10.1093/gene.... How to define fitness depends on what question you ask. Selection acts on organismal vital rates, longer-term outcomes make sense for genetic lineages, models link them. "Invasion fitness" = speed, but sometimes probability matters more.

Why there are so many definitions of fitness in models

Abstract. Evolutionary “fitness” is operationalized in many different ways in models. Its role is to quantify that which is favored by natural selection. G

doi.org

Joanna Masel@joannamasel.bsky.social · 2y ago

Our latest preprint doi.org/10.32942/X2V... explains why fitness can be defined in so many ways, and which version(s) you should use when. Fitness quantifies what natural selection favors. 1/

Beautiful new pre-print by @lambdapp.bsky.social! Rather than asking whether microbial interactions are mainly positive or negative, Prajwal asks: how strong or weak are they and why? The answer: not Gaussian, but skewed. This is similar to larger organisms, but not for the same reason. Read it!

Prajwal Padmanabha@lambdapp.bsky.social · 2mo ago

Very happy to share that the work I've been doing with @saramitri.bsky.social is now out on biorxiv! www.biorxiv.org/content/10.6... We broadly ask how are microbial interactions distributed, is there a common shape across datasets, what drives it, and why it matters. Summary thread below 🧵 1/17

Excited to share that I've been awarded a 5-year NIH MIRA (R35) from the National Institute of General Medical Sciences! The lab is growing! We're recruiting postdocs and research techs interested in microbial ecology, quantitative microscopy, microfluidics, and molecular biology. Please share!

Eye-opening work by @olimeacock.bsky.social (former postdoc, now PI in Sheffield). He presents an exact mapping from steady-state consumer-resource to generalized Lotka-Volterra models, revealing that cross-feeding can lead to competition for other limiting resources. Feedback pls!

Oliver Meacock@olimeacock.bsky.social · 3mo ago

New preprint from @saramitri.bsky.social and me: tinyurl.com/3dsjnm4d The headline result - we derive a general way to connect mechanistic ecosystem models to the gLV equation. This reveals that strengthening cooperative mechanisms can make effective gLV interactions increasingly competitive. Weird!