Anders Ogechi Hostrup Daugberg

@andersohd.bsky.social

PhD fellow at Aalborg University 🇩🇰 Using 'omics to study bacteria which secrete biopolymers (the backbone of biofilms!) 🦠 Metagenomics/transcriptomics, gene cluster annotation, exopolysaccharides, functional amyloids, eDNA 🧬

Kritisera gärna Israel! Men använd inte de begreppen, sjung inte den kampsången, håll inte på med gatuteater, undvik den gatan, nej inte de liknelserna! varför syns x på fotot med y, den ramsan är antisemitisk, varför är ni så arga ni borde le lite oftare tänk på hur det känns för andra

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

BisCEET: A Visual Browser for Biosynthetic Gene Clusters Aiding in the Identification of Natural Product Variants and Distinct Tailoring Enzymes in Journal of Natural Products pubs.acs.org/doi/full/10....

BisCEET: A Visual Browser for Biosynthetic Gene Clusters Aiding in the Identification of Natural Product Variants and Distinct Tailoring Enzymes

Genes involved in the biosynthesis of microbial natural products (NPs) are typically arranged in biosynthetic gene clusters (BGCs). Different congeners of an NP family typically possess distinct chemical features introduced by additional tailoring enzymes encoded in the corresponding BGC variants. However, tools to rapidly visualize the core gene set and distinguish it from variant-specific tailoring genes (VSTGs) in these BGCs are lacking. Here, the software tool BisCEET (Biosynthetic Cluster Environment Examination Tool) was developed, allowing comparison and visualization of the gene composition of related BGCs, thereby streamlining the identification of VSTGs in uncharacterized BGC variants and strains likely to produce novel NP congeners. The use of BisCEET is exemplified by analyzing bacterial BGCs of staurosporine-like indolocarbazoles and xantholipin-like polyketides, which enabled the identification of numerous apparent BGC variants. We anticipate that BisCEET will become a valuable bioinformatic asset, streamlining the prioritization of BGCs and the cultivation of microbial strains for the discovery of distinct NP variants and novel tailoring enzymes.

pubs.acs.org

New preprint: "A branching cell-fate decision in biofilm dispersal enables long-term surface persistence." When V. cholerae biofilms disperse, it isn’t a uniform exit, rather, an opportunity to bet-hedge. A subpopulation of cells stay behind, primed for biofilm regrowth. doi.org/10.64898/202...

From a quick read of this paper (correct me if i'm wrong), I think it's worth pointing out that most of these results are very specific to short-read MAGs. A few comments on the narrow section where long-read MAGs were included because the details seem critical for evaluation...

Cameron Thrash@jcamthrash.bsky.social · 4mo ago

Benchmarking of shotgun sequencing depth reveals the potential and limitations of shallow metagenomics and strain-level analysis www.nature.com/articles/s41... #jcampubs