Lars Barquist

140 Followers
255 Following
74 Posts
Research group leader at the Helmholtz Institute for RNA-based Infection Research. Pathogen systems biology/informatics/functional genomics. New Hampshirite. Drink Moxie.
Lab Webpagehttps://www.helmholtz-hiri.de/en/research/organisation/teams/team/integrative-informatics-for-infection-biology/
Google Scholarhttps://scholar.google.com/citations?hl=en&user=9MYn5q8AAAAJ&view_op=list_works&sortby=pubdate
ORCIDhttps://orcid.org/0000-0003-4732-2667

With brilliant collaborators, our paper is out on a microbiome nested within another microbiome, video abstract here:

https://www.wibbitz.com/watch/b65e0514db02947239ffd9a056cb3235b/?cl=#7f8790&cl4=%2315324e&lg=8132e369779d4f878702ab25f531c8cf&type=produced

I am most proud of getting two separate Dune references into it.

Guts within guts: the roundworm A. suum microbiome is derived but distinct from the host m

Intestinal roundworms infect multitudes of humans and animals globally. While these worms are parasitic eukaryotic members of the host’s microbiome, they also contain their own gut microbiome. But there is currently almost no data on the microbiomes of these prevalent parasites. So, to narrow this gap, researchers recently examined the microbiomes of Ascaris suum and their pig hosts . In the section of the intestine where they reside, the jejunum, the worms were associated with reduced host microbiome diversity . Further, the A. suum microbiome contained bacterial taxa derived from the host microbiome, but was less diverse and had its own signature . suggesting that the Ascaris intestine supported the growth of low abundance microbes from the host gut . While this is just one parasite-host pairing and more research is needed, these results suggest that A. suum impacts the host’s microbiome. and that the Ascaris gut is a selective niche harboring bacteria derived from the host’s gut . Understanding these parasite-microbiome interactions could lead to new disease prediction and parasite control tools . Midha et al.

Wibbitz
@jeremy_mcgibbon following hashtags has been really useful for me to find people -- of course doesn't work if people don't use them!

Our new #bacterial #scRNAseq preprint is out, building on the Vogel lab's MATQ-seq approach. We automate to increase cell numbers, increase sensitivity, and deplete rRNA using #Cas9, before applying this to gene expression heterogeneity along the #Salmonella growth curve.

https://www.biorxiv.org/content/10.1101/2022.11.28.518171v1

@happykhan you might be interested in the approach Nicole Wheeler and I took to this a few years back: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007333

Would be interesting to try to scale up to much larger collections of genomes...

Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica

Author summary Researchers are now collecting a wealth of genomic data from bacterial pathogens, and this will continue to grow with the introduction of routine sequencing for disease surveillance. However, our ability to use this data to predict how changes in genome sequence lead to differences in disease is limited. Here, we have used machine learning to detect an enrichment in functionally significant mutations in genes associated with a shift in pathogenic niche. This approach captures convergence in functional outcomes that does not necessarily result in a convergence in sequence, facilitating the inclusion of rare variants of large effect in an analysis, and allowing for complex interactions between genes. We apply this approach to Salmonella, showing that we can detect changes associated with disease phenotype in emerging lineages associated with the HIV epidemic. This approach should be applicable to other bacterial species with lineages independently adapting to similar niches. We provide open-source implementations of both the predictive model, and the workflow used to build it.

proGenomes3: approaching one million accurately and consistently annotated high-quality prokaryotic genomes https://doi.org/10.1093/nar/gkac1078 #microbiology #bioinformatics
proGenomes3: approaching one million accurately and consistently annotated high-quality prokaryotic genomes

Abstract. The interpretation of genomic, transcriptomic and other microbial ‘omics data is highly dependent on the availability of well-annotated genomes. As th

OUP Academic
An introduction:
We are a group of microbiologists, biochemists and structural biologists at the University of Sheffield studying the molecular basis of bacterial cell physiology, virulence and pathogen-host interactions
https://www.sheffield.ac.uk/biosciences/research/areas/molecular-microbiology
Molecular Microbiology: Biochemistry to Disease

The University of Sheffield

Stefano Mangiola and I are planning a zoom tutorial on "Tidy Genomic Analysis":

Dec 12, 4:30 PM EST
Dec 13, 8:30 AM AEDT
60 min + 30 min Q/A

- Tidy single-cell and bulk transcriptomics
- Tidy enrichment with plyranges and nullranges

Sign up:
https://unc.zoom.us/meeting/register/tJIoduypqzkoEtCKxHGyW01DOdaIUrGPxmro

#tidy #RStats #Bioconductor #genomics

Welcome! You are invited to join a meeting: Tidy Genomic Analysis. After registering, you will receive a confirmation email about joining the meeting.

Welcome! You are invited to join a meeting: Tidy Genomic Analysis. After registering, you will receive a confirmation email about joining the meeting.

Zoom

Our #Winogradsky column at this beautiful autumn morning.

#microbiology

Another nail in the coffin for AMR one health from Ed Feil’s incredible JPIAMR project

https://www.nature.com/articles/s41564-022-01263-0

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings - Nature Microbiology

Genomic analyses of Klebsiella isolates sampled from multiple human, animal and environmental sources in Northern Italy explore Klebsiella population diversity and show that transmission of multidrug-resistant clones between clinical and environmental settings is scarce.

Nature
Are #AntibioticResistance mechanisms the same in hypermutator strains as in wild-type #bacteria? Study shows that MMR-deficient #Pseudomonas aeruginosa can evolve novel mechanisms of resistance to 2 last-line, broad spectrum #antibiotics #PLOSBiology https://plos.io/3AuoqK8
Hypermutator strains of Pseudomonas aeruginosa reveal novel pathways of resistance to combinations of cephalosporin antibiotics and beta-lactamase inhibitors

Hypermutation can accelerate the development of antibiotic resistance in bacteria, but are the mechanisms the same in hypermutator strains as in wild-type cells? This study shows that mismatch repair-deficient Pseudomonas aeruginosa can evolve novel mechanisms of resistance to two last-line, broad spectrum antibiotics, characterizing one such mechanism involving mutations in the chromosomal RND efflux pump, MexVW.