Sebastian Schmidt

@tsbschm.bsky.social

Lecturer in Microbiome & Health at @apcmicrobiomeirel.bsky.social & @ucc.ie Alumnus @borklab.bsky.social Microbiome, microbial ecology & metagenomics.

New preprint from the lab! "Planetary structure and drivers of diazotroph communities reveal key reservoirs of nitrogen-fixation potential" Nitrogen fixation is scattered right across the prokaryotic tree — but it's heterotrophs, not cyanobacteria, that dominate the potential. 🧵

bioRxiv Microbiology@biorxiv-microbiol.bsky.social · last wk.

Planetary structure and drivers of diazotroph communities reveal key reservoirs of nitrogen-fixation potential https://www.biorxiv.org/content/10.64898/2026.07.27.741065v1

How well do ARG detection pipelines agree when applied to the same data? Spoiler: not very well. In our new preprint, we ran 10 pipelines on 270M microbial unigenes from GMGCv1. The same data can support conflicting biological conclusions! 🧵 www.biorxiv.org/content/10.6...

The elusive resistome: a global comparison reveals large discrepancies among detection pipelines

Identifying antibiotic resistance genes (ARGs) from metagenomic data is critical for studying antimicrobial resistance across microbial communities and pathogens. However, there is no standardized methodology for ARG annotation. Here, we compare ten commonly used ARG detection pipelines by analysing over 270 million prokaryotic genes from the Global Microbial Gene Catalogue across 13 distinct habitats. We observed up to a 45-fold difference in the number of reported ARGs, with a mean Jaccard index of only 16% between pipelines. Pipeline selection profoundly impacted downstream biological interpretations, with drastic changes to estimates of ARG relative abundance and richness, to the characterization of pan- and core-resistomes, and to the class-level composition of the inferred resistome. ARG detection pipelines make different, defensible trade-offs, and no single approach should be treated as authoritative. Therefore, users should justify and communicate choices carefully, as our analyses show that, taken uncritically, the same data can support conflicting biological and ecological interpretations. ### Competing Interest Statement The authors have declared no competing interest. National Health and Medical Research Council of Australia (NHMRC), 2031902 Australian Research Council (ARC), FT230100724 International Development Research Centre (IDRC), 109304-001 Deutsche Forschungsgemeinschaft (DFG), FO1279/6-1 Bundesministerium für Bildung und Forschung (BMBF), F01KI1909A, 01KI2404B Swedish Research Council (VR), 2024-06123, 2019-00299, 2023-01721 Knut and Alice Wallenberg Foundation, KAW 2020.0239 Swedish Foundation for Strategic Research, FFL21-0174

biorxiv.org

I'm sorry, what? In writing my first monograph, I spent six weeks trying to track down a citation in TWO languages I didn't know. And good thing too, because the citation was wrong. That's scholarship. That's research. You know, the thing we're trained to do?!?

The reactions of some researchers on Twitter finally being held responsible for not having read the very paper they submitted are... something. Mainly, they don't think they should have to check every citation or make sure the data is real and accurate. Because it's too hard, I guess.

Hostage taker to hostages: This is your hostage crisis, too. Don’t just sit there waiting for me to negotiate, stand up and do something to get us all out of here!

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Reposting this from April 1, 2007 in honor of Craig Venter. I did this as an April Fool's joke - sharing it as a PDF. I got stressed when I found out Craig had seen it and knew it was by me. But he loved it and said it was OK to share it more widely. So then I posted it on the web.

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GUNC pre-processed databases are now also on zenodo thanks to @fullam.bsky.social : zenodo.org/records/1963...

GUNC Reference Database Files

GUNC Reference Database Files

zenodo.org

Sebastian Schmidt@tsbschm.bsky.social · 5mo ago

@fullam.bsky.social has pushed a new #GUNC release, v1.1.0: github.com/grp-bork/gun... It fixes some bugs, updates some underlying databases and brings new features (e.g. you can now BYODB – bring your own database). GUNC v1.1.0 is also live on #bioconda .

This is bad. Personally, I maintain that if a study does not release data, it should be considered not on the scientific record and can therefore be ignored. To restrict, you need very strong (exceptional) reasons. Predictably, that's not a popular stance with many though.

A. Murat Eren (Meren)@merenbey.bsky.social · 4mo ago

How every layer of science's "self-correcting machinery" failed when Iva Veseli and I simply wanted to reproduce the findings of a high-profile study on gut microbiome and autism: merenlab.org/2026/04/15/u...