Tami Lieberman

@contaminatedsci.bsky.social

Associate Professor, MIT Still thinking about the 10^9 mutations generated in your microbiome today. Website: http://lieberman.science

2. If you've seen this before, a single brain metastasis with an unknown primary, we want your instinct. Assume we haven't heard of what you're about to suggest. 3. Introductions. Doctors, researchers, labs, clinical trials, anyone working on cancer of unknown primary.

Beautiful work (Petrungaro, Bollenbach lab) on evo trajectories toward abx resistance (E. coli). Goes beyond many other studies in its attention to the experimental setup (identical selective pressure across all lines). I strongly recommend reading the entire paper! www.nature.com/articles/s41...

Function-specific epistasis shapes evolutionary trajectories towards antibiotic resistance - Nature Communications

Antibiotic resistance can evolve through the combination of factors but the predictability of this is unclear. Here, the authors used high-throughput evolution experiments to reveal that antibiotic re...

nature.com

But what Elena found is that in 8/10 HIV populations, haplotype lengths were basically exactly the same before, during and after the sweep. It seems like these sweeps are basically so soft that they’re not changing the linkage structure of the population??

X axis: genomic position, y axis: standardized iHH (integrated haplotype homozygosity). Faceted grid showing the genomic data from 10 participants, where in 8/10 participants, the iHH for day 0, week 4 and week 8 largely overlap each other and 0. In two participants, there is some elevation of iHH at week 4 or 8.

Thread from @s-j-aitken.bsky.social explaining our new paper that finds strong epistatic interactions between germline genetic background and somatic driver mutations that set the course of cancer development.

Sarah Aitken@s-j-aitken.bsky.social · last wk.

🧬NEW PAPER🧬 To what extent is cancer development deterministic? Does the germline genome affect that predictability? Find out in our #StrainDifferences paper @nature.com "Genetic background sets the trajectory of experimental cancer evolution" www.nature.com/articles/s41... 🧵[1/14]

102 new Ebola cases and 45 deaths reported by DRC over past 24 hours. For context: Many Ebola outbreaks in the past have remained small. These numbers mean the DRC has reported more cases overnight than were reported IN TOTAL during each of about two dozen smaller Ebola outbreaks. 🧪

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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

What do single bacterial cells do when they run out of carbon source? If you missed the preprint, check out the official publication: doi.org/10.1038/s443... If the total bacterial population on earth stays roughly constant, then there must on average be as much death as replication. 1/n

E. coli prepares for starvation by dramatically remodeling its proteome in the first hours after loss of nutrients - Molecular Systems Biology

Although in the wild bacteria likely spend most of their time deprived of nutrients and slowly starving to death, very little is known about how bacteria adapt their phenotype to starvation. Here we combine microfluidics with quantitative fluorescence microscopy of transcriptional reporters to comprehensively quantify growth and gene expression at the single-cell level in E. coli during carbon starvation. We find that all cells immediately stop growing upon loss of carbon source and that almost all remain alive for over 30 hours. Furthermore, entry into starvation triggers a dynamic expression program that is remarkably homogeneous across single cells, but highly variable across genes, causing dramatic remodeling of the proteome early in starvation. We further show that, as protein production and the rate of protein degradation both decay approximately exponentially, protein concentrations become essentially ‘frozen’ after the first 5 to 10 hours, setting phenotypes for several days of starvation. Finally, using experiments in which gene expression is inhibited for different periods, we show that protein production in the first 5 hours is crucial for protecting cells from stresses late in starvation.

doi.org

How good is MiniBWA, the successor to BWA? To test it, I ran MiniBWA on sequencing from 76 different species, comparing mapping speed, rate and accuracy with BWA MEM. In short, it's really good. If you map short reads, it's well worth your time. andrewcarroll.github.io/2026/06/30/t...

The Best of Both Worlds - Assessing MiniBWA

Recently, Heng Li released MiniBWA (GitHub) alongside a paper by Heng Li and Nils Homer describing the method (paper). MiniBWA builds on the approaches in Minimap2 (also by Heng Li), but falls back on...

andrewcarroll.github.io

Looking forward to digging in! It seems totally reasonable to me that hgt/recombination based sweeps are 'harder' than snv based ones!

Peter Laurin@peterlaurin.bsky.social · last mo.

Super excited to share new work with my advisor @nanditagarud.bsky.social! We re-examine the rapidity of adaptation in the human gut microbiome and begin to characterize the adaptive architecture of selective sweeps spreading across human guts. www.biorxiv.org/content/10... 1/n:

As you might imagine, as someone who studies science and works on metrics, I have some thoughts on qed myself. I fully agree that the messaging can be described as tone-deaf and problematic. I don’t think it had to be. ripplingideas.org/2026/06/26/t...

The 1% club and the rocky road ahead for bioRxiv

The recent launch of qed’s “top 1%” preprint ranking has sparked controversy, with concerns about its arbitrary nature, potential harm to authors, and low-quality inclusions. Whil…

ripplingideas.org

Microbes that have the greatest genomic potential for secondary metabolism tend to be multicellular. Here, we show that signatures of ancestral BGC expansions within 3 bacterial phyla and 2 fungal lineages coincide with origins of complex multicellularity [1/12] 🧵 www.nature.com/articles/s41...

Complex multicellularity is linked with expanded specialized metabolite production in microorganisms - Nature Microbiology

The evolutionary emergence of complex multicellularity in bacteria and fungi, such as the ability for mycelial growth, is strongly associated with increased genomic carriage of biosynthetic machinery ...

nature.com