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Phil Hugenholtz

@xrefugee13.bsky.social
823 followers 944 following 76 posts

Microbiologist

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Reposted by Phil Hugenholtz
Jason Stajich @hyphaltip.bsky.social · 29/09/2026
New paper out www.microbiologyresearch.org/content/jour... work from Cassie Ettinger mostly performed during her PhD with @phylogenomics.bsky.social. Was neat to see what 🍄 lurks in sea grass.
microbiologyresearch.org
Eukaryotic metagenome-assembled genomes recovered from deep metagenomic sequencing of the seagrass, Zostera marina, include a novel chytrid in the order Lobulomycetales
Fungi play pivotal roles in terrestrial ecosystems as decomposers, pathogens and endophytes, yet their significance in marine environments is often understudied. Seagrasses, as globally distributed ma...
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Reposted by Phil Hugenholtz
Evgenii Protasov @evgenii-protasov.bsky.social · 24/09/2026
The genomic origins of cyanobacterial morphological diversity #cyanobacteria #evolution #genomes #MicroSky @pnas.org doi.org/10.1073/pnas...
doi.org
The genomic origins of cyanobacterial morphological diversity | PNAS
Cyanobacteria are the only prokaryotes to have evolved oxygenic photosynthesis, transforming the geochemistry and biology of the planet. They exhib...
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Reposted by Phil Hugenholtz
Simonetta Gribaldo @sgribaldo.bsky.social · 23/09/2026
Interested in #archaea, #methane, #cell-envelopes? New paper out @nature.com ! We discovered an enzyme that specifically cleaves the cell wall of methanogens, revealing a new chemical structure of archaeal peptidoglycan, 50 yrs after its first description www.nature.com/articles/s41... #MicroSky 🧵👇
nature.com
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Mozammel Hoque @mozammel.bsky.social · 20/09/2026
1/ New paper out in ISME Communications now in full version. Bacteria rarely live alone in nature, so we ran a 6-month evolution experiment asking what happens when species are forced to share the same biofilm. Turns out, company changes everything. 🧵 doi.org/10.1093/isme...
doi.org
Mixed-species interactions constrain diversification and shape biofilm evolution
Abstract. Experimental evolution provides a powerful framework for dissecting how ecological interactions shape adaptive trajectories. Here, we evolved Kle
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Reposted by Phil Hugenholtz
David Bikard @dbikard.bsky.social · 21/09/2026
New paper from the lab, out in Nature Microbiology. We ran CRISPRi screens to ask what genes E. coli needs in order to live in a gut and what this can tell us about the gut environment itself. doi.org/10.1038/s41564-026-02471-8
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Reposted by Phil Hugenholtz
Doudna Lab @doudna-lab.bsky.social · 19/09/2026
Out now in Science: Two papers from our lab reveal VIPR, an RNA-guided DNA-targeting system in bacteriophages, providing clues to the origins of CRISPR www.science.org/doi/10.1126/... www.science.org/doi/10.1126/... Congrats to Peter Yoon, @kenjmloi.bsky.social @terryzzy.bsky.social, T.Docter & team
science.org
A noncontiguous code for RNA-guided DNA recognition at the origin of CRISPR-Cas
CRISPR-Cas provides RNA-mediated adaptive immunity, but how its first RNA-guided effector arose is unclear. In this study, we report the discovery of Viral Interference Programmable Repeat (VIPR) syst...
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Reposted by Phil Hugenholtz
Evgenii Protasov @evgenii-protasov.bsky.social · 18/09/2026
When genus deserves to be a family 🦠🔬 Recent phylogenomic analyses showed that the genus Methanobrevibacter is severely underclassified. We propose reclassifying it into a family, Methanobrevibacteraceae consisting of 11 genera. @microbiologysociety.org #MicroSky #Archaea doi.org/10.1099/ijse...
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Reposted by Phil Hugenholtz
Evgenii Protasov @evgenii-protasov.bsky.social · 17/09/2026
Structural diversity and functional versatility in Gram-positive S-layers #microbiology #bacteria #MicroSky www.sciencedirect.com/science/arti...
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Reposted by Phil Hugenholtz
Roland Hatzenpichler @environmicrobio.bsky.social · 16/09/2026
“Over two days in June, Emily Aguilar-Pine drove 2,500 kilometres from Bozeman, Montana, to Austin, Texas, with one of microbiology’s most coveted organisms in the back of her mother’s SUV.” Find out what she grabbed from my lab in the article 😂
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Reposted by Phil Hugenholtz
Jim Shaw @jimshaw.bsky.social · 15/09/2026
The sylph metagenome profiler is v1.0.0! sylph-docs.github.io A new DB format + approach --> huge performance gains: GTDB-R232 (200k species) now takes < 5 GB of RAM and ~30s (2GB fq.gz). Huge thanks to @benjwoodcroft.bsky.social and his ongoing performance efforts (github.com/wwood/weebill)
sylph-docs.github.io
Documentation for sylph - ultrafast, precise metagenomic profiling
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Digital Brain @yourdigitalbrain.bsky.social · 15/09/2026
An international team of crystallographers determined the structure of a protein at 0.43 Ångstrom resolution, the highest ever achieved for a biological macromolecule.
sinapti.ca
X-ray crystallography achieves the highest resolution ever reached in a protein - Sinaptica
An international team of crystallographers determined the structure of a protein at 0.43 Ångstrom resolution, the highest ever achieved for a biological macromo
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Reposted by Phil Hugenholtz
Cameron Thrash @jcamthrash.bsky.social · 11/09/2026
Deep shifts in Evolutionary Rate Trajectories of Ancient Bacterial Genes www.biorxiv.org/content/10.6... #jcampubs
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Reposted by Phil Hugenholtz
Florian Mayer @florianmayer.bsky.social · 11/09/2026
Excited to share our preprint on Ignicoccus cell divison: only the inner membrane divides, progeny cells accumulate in cell clusters and pop-out! www.biorxiv.org/content/10.6... Great work with the labs: @buzzbaum.bsky.social @curiousdina.bsky.social @anja1.bsky.social @tbharat-lab.bsky.social
biorxiv.org
The life cycle of an archaeon with multiple membranes
Many prokaryotes are diderms. They divide using an FtsZ division ring to simultaneously constrict physically coupled inner and outer membranes to form daughter cells with two membranes. Currently, onl...
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Reposted by Phil Hugenholtz
Ilnam Kang @ilnamkang.bsky.social · 05/09/2026
This is why I prefer this resource when I have to classify 16S rRNA gene sequences using GTDB as a reference database. figshare.scilifelab.se/articles/dat...
figshare.scilifelab.se
SBDI Sativa curated 16S GTDB database
The data in this [repository](https://doi.org/10.17044/scilifelab.14869077) is the result of vetting 16S sequences from the Genome Taxonomy Database (GTDB) release R10RS226 (r226) (https://gtdb.ecogenomic.org/; Parks et al. 2018) with the Sativa program (Kozlov et al. 2016) using the [sbdi-phylomarkercheck](https://github.com/biodiversitydata-se/sbdi-phylomarkercheck) Nextflow pipeline version 1.0.2.Using Sativa [Kozlov et al. 2016], 16S sequences from GTDB were checked so that their phylogenetic signal is consistent with their taxonomy.Before calling Sativa, sequences longer than 2000 nucleotides or containing Ns were removed, and the reverse complement of each is calculated. Subsequently, sequences were aligned with HMMER [Eddy 2011] using the Barrnap [https://github.com/tseemann/barrnap] archaeal and bacterial 16S profiles respectively, and sequences containing more than 10% gaps were removed. From each genome the longest sequence was selected (three from species-representative genomes). Subsequently, 30 sequences were selected from each species with a stronger weight for species-representative genomes and sequences with longer alignment to the Barrnap profile. Priority was also multiplied by degree of CheckM contamination so that sequences from more contaminated genomes had a lower chance of becoming part of the 30 selected. Furthermore, sequences which did not have the same GTDB order as Silva order in GTDB's metadata, receieved a lower priority in selection of the 30.The 30 selected sequences were analyzed with Sativa, and sequences that were not phylogenetically consistent with their taxonomy were removed.Files for the DADA2 (Callahan et al. 2016) methods `assignTaxonomy` and `addSpecies` are available, in three different versions each. The `assignTaxonomy` files contain taxonomy for domain, phylum, class, order, family, genus and species. (Note that it has been proposed that species assignment for short 16S sequences require 100% identity (Edgar 2018), so use species assignments from `assignTaxonomy` with caution.) The versions differ in the maximum number of genomes that we included per species: 1, 5 or 20, indicated by "1genome", "5genomes" and "20genomes" in the file names respectively. Using the version with 20 genomes per species should increase the chances to identify an exactly matching sequence by the `addSpecies` algorithm, while using a file with many genomes per species could potentially give biases in the taxonomic annotations at higher levels by `assignTaxonomy`. Our recommendation is hence to use the "1genome" files for `assignTaxonomy` and "20genomes" for `addSpecies`.The fasta files are gzipped fasta files with 16S sequences, the assignTaxonomy associated with taxonomy hierarchies from domain to species whereas the `addSpecies` file have sequence identities and species names. There is also a fasta files with the original GTDB sequence names: sbdi-gtdb-sativa.r09rs220.20genomes.fna.gz.Taxonomical annotation of 16S amplicons using this data is available as an optional argument to the nf-core/ampliseq Nextflow workflow: --dada_ref_taxonomy sbdi-gtdb (https://nf-co.re/ampliseq; Straub et al. 2020).In addition to the fasta files, the workflow outputs phylogenetic trees by optimizing branch-lengths of the original phylogenomic GTDB trees based on a 16S sequence alignment. As not all species in GTDB will have correct 16S sequences, the GTDB trees are first subset to contain only species for which the species representative genome has a correct 16S sequence. Subsequently, branch lengths for the tree are optimized based on the original alignment of 16S sequences using IQTREE [Nguyen et al. 2015] with a GTR+F+I+G4 model. The alignment files end with .alnfna, the taxonomy files with .taxonomy.tsv and the tree files (newick-formatted) end with .brlenopt.newick. They will be made available in nf-core/ampliseq for phylogenetic placement.The data will be updated circa yearly, after the GTDB database is updated.Version historyv12 (2026-05-19): Update to GTDB R11-RS232v11 (2025-10-31): Stricter filtering of sequences before Sativa, see description above.v10 (2025-04-30): Update versions in this textv9 (2025-04-29): Update to GTDB R10-RS226v8 (2025-02-18): Remove extra sequences from e.g. "1genome" files that appeared due to ties.v7 (2024-06-25): Update to GTDB R09-RS220 from R08-RS214.v6 (2024-04-24): Replace manual procedure with Nextflow pipeline. Update to GTDB R08-RS214 from R07-RS207.v5 (2022-10-07): Add missing fasta file with original GTDB names.v4 (2022-08-31): Update to GTDB R07-RS207 from R06-RS202AcknowledgementsThe computations were enabled by resources in project [NAISS 2023/22-601, SNIC 2022/22-500 and SNIC 2021/22-263] provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at UPPMAX, funded by the Swedish Research Council through grant agreement no. 2022-06725.Computations were also enabled by resources provided by Dr. Maria Vila-Costa, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona.
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Brian Stevenson Ph.D. spirochete lab @bstevensonlab.bsky.social · 08/09/2026
Spirochetes do it differently! Evolutionary characterization and structure-guided discovery of the β-barrel assembly machinery in Treponema pallidum subsp. pallidum reveals a putative BamD-like protein www.sciencedirect.com/science/arti... #MicroSky
Figure 1. Workflow for the identification of components in the T. pallidum BAM system. This schematic illustrates the overall strategy used to identify and validate candidate components of the BAM system in T. pallidum. First, phylogenetic analysis of Omp85 family proteins and comparative analysis of bamA gene neighborhoods were performed to investigate the evolutionary features and genomic organization of BAM-associated components in Treponema and Borrelia. Subsequently, candidate BAM proteins were identified through two complementary approaches: (i) a structure-guided computational strategy based on structural similarity searches; and (ii) an experimental proteomic strategy using IP-MS analysis. Candidate proteins identified from both approaches were further evaluated by in vitro protein-protein interaction assays. Proteins exhibiting specific interaction with Tp0326 were subsequently subjected to domain identification, structural modeling and interface analysis.
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Julian Parkhill @julianparkhill.bsky.social · 08/09/2026
Chair in Bacteriology in Cambridge Department of Medicine. A great opportunity. Please circulate. www.cam.ac.uk/jobs/researc...
cam.ac.uk
Research Professor in the field of Bacteriology
Strengthening Cambridge's leadership in bacteriology research Bacterial infection and antimicrobial resistance remain among the most pressing global health challenges of our time. At Cambridge, the De...
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Reposted by Phil Hugenholtz
Michael Wagner @michiwagner4.bsky.social · 04/09/2026
Who knew ammonia-oxidizing archaea could be “flexitarians”? Our new study in Science Advances shows that #AOA living inside marine sponges can assimilate branched-chain amino acids, an unexpected talent that may even shape how they interact with their hosts 🧽🤝🦠 🎉 www.science.org/doi/10.1126/...
science.org
Branched-chain amino acid assimilation enables mixotrophy of ammonia-oxidizing archaeal sponge symbionts
Marine sponges and ammonia-oxidizing archaea (AOA) represent one of the earliest animal-microbe symbioses. AOA are considered metabolically constrained chemolithoautotrophs that remove nitrogenous was...
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Reposted by Phil Hugenholtz
DEEMteam_Orsay @deemteam.bsky.social · 04/09/2026
Databases may contain lots of misannotated 16S rRNA sequences, which can hinder accurate taxonomic assignment in metabarcoding and metagenomic analyses. We have addressed this issue for Asgard archaea and generated a curated set of high-quality 16S rRNA sequences: academic.oup.com/ismecommun/a...
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Cameron Thrash @jcamthrash.bsky.social · 01/09/2026
MetaCAT enables reconstruction of high-quality microbial genomes and their association with host traits from metagenomic data www.nature.com/articles/s41... #jcampubs
nature.com
MetaCAT enables reconstruction of high-quality microbial genomes and their association with host traits from metagenomic data - Nature Microbiology
MetaCAT is a computational framework to assess host–microbiome interaction via a combination of high-accuracy and efficient microbial genome reconstruction and metagenome-wide association studies with...
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Chris Rinke @chrisrinke.bsky.social · 31/08/2026
Excited to report that our paper 📃 "Predicting the plastic biodegradation potential within microbial lineages and across global ecosystems" by Harmony Douwes, and Zuzanna Dutkiewicz is out! lnkd.in/d2HN2jsj
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Evgenii Protasov @evgenii-protasov.bsky.social · 01/09/2026
Rethinking the origin of life at seafloor hydrothermal vents #evolution #OriginOfLife #MicroSky @pnas.org www.pnas.org/doi/10.1073/...
pnas.org
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...
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Reposted by Phil Hugenholtz
Axel Visel @axelvisel.bsky.social · 31/08/2026
A Global Catalog of Microbial Symbionts 🌍🦠🧬🫨 New resource from @jgi.doe.gov, led by @astrogenomics.bsky.social and @fmschu.bsky.social with contributions by @emileyeloe-fadrosh.bsky.social @miferg.bsky.social and many more 🔓 www.nature.com/articles/s41... @biosci.lbl.gov @berkeleylab.lbl.gov
nature.com
A genomic catalog of Earth’s bacterial and archaeal symbionts - Nature Biotechnology
Symbiotic relationships of microorganisms are predicted and cataloged with a machine learning tool.
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Cameron Thrash @jcamthrash.bsky.social · 28/08/2026
Cellulose-fueled extracellular electron transfer in termite gut microbes journals.asm.org/doi/10.1128/... #jcampubs
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Tanmay Bharat @tbharat-lab.bsky.social · 23/08/2026
Molecular architecture of colossal surface layers from hyperthermophilic archaea Led by @idocaspy.bsky.social (Ido) In collaboration with @mkrupovic.bsky.social and @vikramalva.bsky.social labs doi.org/10.64898/202...
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Nigel Goldenfeld @nigelgoldenfeld.bsky.social · 07/08/2026
What do the earliest organisms tell us about where life began on earth? This fantastic paper addresses this issue through analyses that expose early metabolism, & what the environment contributed to kick start it. Even if wrong it is worth reading for the clear introduction to metabolism.
science.org
Intermediate stages in the origin of metabolism at a phosphorylating hydrothermal vent
Enzymatic metabolism emerged from metal-catalyzed, aqueous reactions of H2, CO2, NH3 and phosphite at a hydrothermal vent.
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Cameron Thrash @jcamthrash.bsky.social · 22/08/2026
The narrowing prokaryote–eukaryote divide reveals a complexity spectrum www.cell.com/trends/micro... #jcampubs
cell.com
The narrowing prokaryote–eukaryote divide reveals a complexity spectrum
Cellular organisms can be divided into two basic types of cells: the prokaryotic cells of Bacteria and Archaea and the eukaryotic cells. The rapidly expanding knowledge of the diversity and ultrastruc...
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Richard Sever @richardsever.bsky.social · 20/08/2026
"Many AI-generated papers feature...drive-by references...assertions about...the topic bolstered by citations from 2023 to 2026. They typically cite no papers between the mid-'90s and early 2020s...Why? Because GenAI models can't get behind publishers’ firewalls" www.chronicle.com/article/ai-i...
chronicle.com
AI Is Ruining Scholarship
When we outsource literature review to algorithms, we lose entire sectors of knowledge.
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Nabil-Fareed Alikhan @happykhan.mstdn.science.ap.brid.gy · 11/08/2026
Howdy, In my spare time I have been working on a modern web version of BRIG, and it is now in a state fit for public consumption. Please share with your team + students. And If they have feedback they can reach me on email. brigx.genomicx.org BRIGX is a modern implementation of BRIG […]
mstdn.science
Original post on mstdn.science
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donovan-parks.bsky.social @donovan-parks.bsky.social · 10/08/2026
Our paper identifying a stop codon reassignment in Eggerthellaceae species found in mammalian guts is now out! Great collaborative effort with Pierre Chaumeil, Maria Chuvochina, and Phil Hugenholtz (@xrefugee13.bsky.social). www.microbiologyresearch.org/content/jour... @microbiologysociety.org
microbiologyresearch.org
Stop codon reassignment to tryptophan in members of the bacterial phylum Actinomycetota
Reassignment of stop codons is a significant evolutionary event with recoding of UGA to tryptophan being previously identified in only three bacterial phyla, the Bacillota, Pseudomonadota and Verrucom...
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Reposted by Phil Hugenholtz
Morten Kam Dahl Dueholm @mkddueholm.bsky.social · 10/08/2026
Check out the MiDAS global genome catalog preprint! We applied Nanopore long-read metagenomics to 83 selected samples from the MiDAS 4 global survey of wastewater treatment plants to create a genome catalog covering all core genera in the activated sludge microbiome. www.biorxiv.org/content/10.6...
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Cameron Thrash @jcamthrash.bsky.social · 03/08/2026
Habitat-specific patterns of horizontal gene transfer revealed by metagenomics across aquatic and terrestrial ecosystems www.sciencedirect.com/science/arti... #jcampubs
sciencedirect.com
Habitat-specific patterns of horizontal gene transfer revealed by metagenomics across aquatic and terrestrial ecosystems
Horizontal gene transfer (HGT) is a major driver of microbial adaptation and evolution, yet how habitat type and anthropogenic pressures shape communi…
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A. Murat Eren (Meren) @merenbey.bsky.social · 03/08/2026
What makes human guts and coral reefs similar? Here is a blog post with some thoughts on ecosystem stability, stress, and microbiome, following a fresh pre-print by Marko Terzin et al: merenlab.org/blog/coral-r...
merenlab.org
From coral reefs to human guts: stress is stress
Reefs and colons share no taxa, no host, no timescale, but they report stress the same way, which tells us where NOT to look for solutions.
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Australian Centre for Ecogenomics (ACE) @ace-uq.bsky.social · 31/07/2026
🎉🐨 Huge congratulations to our own Dr Michaela Blyton on being named a 2026 Queensland #YoungTallPoppy! Michaela's work helps us understand how microbes contribute to #koala health. A well-deserved honour, and proof that sometimes great scientists really do come with koalas! #WomenInSTEM
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Joanna Masel @joannamasel.bsky.social · 27/07/2026
Our paper on how better amino acid substitution matrices trained on cleaned alignments improve gene tree inference, and on best practice for cleaning MSAs more broadly, is now out academic.oup.com/mbe/advance-.... New options in both IQTree and Muscle5. @phylowheeler.bsky.social
academic.oup.com
Improved gene tree inference from removing alignment errors both from focal genes and when training substitution models
Abstract. Multiple Sequence Alignment (MSA) is a key step in phylogenetic analysis and is prone to error. Unfortunately, algorithms that remove likely alig
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Alex Loy @loyteam.bsky.social · 24/07/2026
New Paper 👇 Evolutionary trajectory of microbial sulfur oxidation pathways recapitulates Earth’s oxygenation history #microsky 🧫🦠 #microbiomesky www.nature.com/articles/s41...
nature.com
Evolutionary trajectory of microbial sulfur oxidation pathways recapitulates Earth’s oxygenation history - Nature Communications
Microorganisms have long driven Earth’s oxidative sulfuric cycle using complex sulfur-oxidizing systems. This study shows that this molecular machinery first originated in the anoxic Archean eon and g...
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🎃Bushybritches🎃 @bushybritches.bsky.social · 22/07/2026
🤩🤩🤩 This is so cool! A possible new single dose treatment for colon cancer that also acts as an immunization from getting it again. It uses bacteria from tree frogs. Short video if you don’t wanna read the article. youtube.com/shorts/VGvuE... www.sciencedaily.com/releases/202...
sciencedaily.com
This frog bacterium wiped out cancer tumors in mice with a single dose
A naturally occurring bacterium from amphibian intestines completely eliminated colorectal tumors in mice with a single treatment by both attacking cancer cells and activating the immune system. The f...
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Maria Dzunkova @dzunkovam.bsky.social · 23/07/2026
Have a look at all the cute #nudibranchs pictures in our article just published in Microbiome! 🤩 We applied #museomics to a large collection of nudibranchs and discovered novel symbionts @i2sysbio.es @uv.es @csic.es #microsky #bioinformatics 👩‍🔬🦠🧪🧬🖥️🦑 🧵⬇️ link.springer.com/article/10.1...
link.springer.com
Museomics reveals uncultured symbionts with biosynthetic potential in nudibranchs - Microbiome
Background Museum specimens are widely used for PCR-based pathogen detection, yet their potential for metagenomic discovery of beneficial microbes remains underexplored, largely due to difficulties in...
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Steven Robbins @stevenjrobbins.bsky.social · 22/07/2026
It's out! Excited to present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), a comprehensive DB of 1000s of high-quality prokaryote, virus, plasmid, and chromosome-level eukaryote MAGs using Nanopore long reads. Subthreads incoming. Please share widely. 🙂 www.nature.com/articles/s41...
nature.com
The planktonic microbiome of the Great Barrier Reef - Nature
The Great Barrier Reef Microbial Genomes Database compiles prokaryotic, viral and eukaryotic genomes from seawater collected from the Great Barrier Reef, providing a rich resource for the study of mar...
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Rob Edwards @linsalrob.bsky.social · 22/07/2026
Starting with the DNA sequence of a #phage genome, #PholdAPhage will create a 3D reconstruction of the complete phage, almost like you did cryoEM on it! Check out Renee's awesome software github.com/reneegreen81... to assemble unknown phage particles one protein at a time
A computer generated 3D reconstruction of a phage, based solely on its genome sequence. For this image, we started with the genome, and used PholdAPhage to create the structures. Colours are based on pLDDT scores.
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César de la Fuente @delafuentelab.bsky.social · 20/07/2026
Biology has plenty of data—the challenge is making it usable. AllTheBacteria transforms 2.44 million public bacterial and archaeal genomes into an open, uniformly processed, searchable, AI-ready resource. www.biorxiv.org/content/10.1...
biorxiv.org
AllTheBacteria: a community resource empowers biology and discovers novel peptide antibiotics
Public microbial genomes encode an immense record of biological diversity, evolution and molecular function, but much of this information remains difficult to reuse because raw sequencing data are not...
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Baylink Lab @baylinklab.bsky.social · 08/07/2026
Early Earth was an anoxic world. How did bacteria first learn to sense oxygen and use it to their advantage? In our new study, we show that bacterial CZB proteins mediate aerotaxis and redox taxis by monitoring extracellular bioavailable Zn²⁺. #microsky 🧪🦠🔬🧫 www.biorxiv.org/content/10.6...
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Evgenii Protasov @evgenii-protasov.bsky.social · 07/07/2026
Following the formal description of Caldifarcimen microaerophilum, the candidate phylum WOR-3 has been officially renamed Caldifarciminota within the kingdom Pseudomonadati #microbiology #NewSpecies #taxonomy #bacteria #MicroSky @microbiologysociety.org doi.org/10.1099/ijse...
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Henry Gee 亨利·纪 @endofthepier.bsky.social · 06/07/2026
Today and tomorrow I’m at the #Embo workshop on archaea at the MRC Lab for molecular biology in Cambridge. Hooray for eukaryogenesis!
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Evgenii Protasov @evgenii-protasov.bsky.social · 05/07/2026
Predicting oxygen levels in microbial habitats using a metagenome-based approach #microbiology #metagenomics #oxygen @asm.org doi.org/10.1128/msys...
doi.org
Predicting oxygen levels in microbial habitats using a metagenome-based approach | mSystems
Oxygen is one of the most important environmental variables affecting microbial activity and composition, but is often difficult to measure in situ. We developed a tool, OxyMetaG, that leverages differences in bacterial gene content across known aerobic and anaerobic taxa to predict the oxygen level of a given sample directly from shotgun metagenomic reads. OxyMetaG works on samples with low sequencing depth and avoids computationally expensive genome assembly, which often captures only a fraction of the microbial community in a given environment. With OxyMetaG, bacteria can be used as bioindicators of oxygen availability over broader time scales than just a single measurement and provide crucial environmental context in cases where oxygen has not been or cannot be measured. OxyMetaG is publicly available and can be used to answer a wide variety of ecological questions in both environmental and host-associated systems.
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A. Murat Eren (Meren) @merenbey.bsky.social · 04/07/2026
New study by Alexander Henoch (@ahenoch.bsky.social), a PhD student in our group @hifmb.de and @awi.de, shows what it takes to bring gene synteny into microbial pangenomes, and what we learn about the variability landscape of genomes when we do that. See the pre-print here: doi.org/10.64898/202...
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Morten Kam Dahl Dueholm @mkddueholm.bsky.social · 04/07/2026
What is Bipolaricaulota? Check our our new book chapter to learn about this facinating phyla. 🦠🧫 onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
Bipolaricaulota
Bi.po.la.ri.cau.lo'ta. N.L. masc. n. Bipolaricaulis, type genus of the phylum; -ota, ending to denote a phylum; N.L. neut. pl. n. Bipolaricaulota, the Bipolaricaulis phylum. Bipolaricaulota is a bact...
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Reposted by Phil Hugenholtz
ssolo.bsky.social @ssolo.bsky.social · 04/07/2026
Ancestral genome reconstructions get noisier the deeper in time you go. The usual response: distrust them and joke about reading entrails. Ours is to train on the noise! The result is calibrated phenotype prediction back to the LBCA deep in the Archaean. New preprint www.biorxiv.org/content/10.6...
biorxiv.org
Models trained with noisy genomes extend bacterial phenotype prediction into deep time
Predicting phenotype from genotype in extant organisms is increasingly tractable through the accumulation of genome sequences and the development of machine-learning algorithms. Here we show that mach...
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Reposted by Phil Hugenholtz
Ilnam Kang @ilnamkang.bsky.social · 30/06/2026
A simple mathematical model for the discontinuity in average nucleotide identity distributions in prokaryotes doi.org/10.21203/rs....
doi.org
A simple mathematical model for the discontinuity in average nucleotide identity distributions in prokaryotes
Microbial species exist as discrete genomic clusters, and evidence of this is the well-documented discontinuity in average nucleotide identity distributions&mdash;the ANI gap. Today, thresholds within...
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Reposted by Phil Hugenholtz
Sarah Bagby @scbagby.bsky.social · 29/06/2026
Out today in Nature Microbiology: a paper that started in 2021 with an email from @sullivan-lab.bsky.social. Subject line: "Crazy ideas". www.nature.com/articles/s41... 1/23
Screenshot of an email header with subject line "Crazy ideas"
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Reposted by Phil Hugenholtz
Daan Speth @daanspeth.bsky.social · 26/06/2026
I'm happy to announce the release of GlobDB r232! This version contains 346,233 bacterial and archaeal genomes, based on 26 datasets. More info globdb.org 🦠🖥️🧬
globdb.org
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