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Data INRAE
Dataset . 2021
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Updated Metagenomic Species Pan-genomes (MSPs) of the human gastrointestinal microbiota

Authors: Plaza Onate, Florian; Pons, Nicolas; Gauthier, Franck; Almeida, Mathieu; Ehrlich, Stanislav Dusko; Le Chatelier, Emmanuelle;

Updated Metagenomic Species Pan-genomes (MSPs) of the human gastrointestinal microbiota

Abstract

Dataset overview This dataset provides: the updated Integrated Gene Catalog of the human gut microbiota (aka IGC2) 1,989 Metagenomic Species Pangenomes (MSPs) This dataset can be used to analyze shotgun sequencing data of the human gut microbiota. How to use this dataset To perform taxonomic, functionnal and strain level profiling with this dataset, we suggest using Meteor. Methods Gene catalog construction The methodology for creating the IGC2 catalog is described in the original papers: Li et al., 2014 and Wen et al., 2017 MSP creation Reads from publicly available human gut metagenomes were aligned against the IGC2 catalog with the Meteor to produce a raw gene abundance table (10.4M genes quantified in >2000 samples). Then, co-abundant genes were binned in 1,989 Metagenomic Species Pan-genomes (MSPs, i.e. clusters of co-abundant genes that likely belong to the same microbial species) using MSPminer. MSPs taxonomic annotation MSPs taxonomic annotation was performed by aligning MSP core and accessory genes against representative genomes of the Genome Taxonomy Database (GTDB r207) using blastn (task = megablast, word_size = 16). The 20 best hits for each gene were kept (--max-target-seq 20). Using an in-house pipeline, a species-level assignment was given if > 50% of the genes matched the representative genome of a given species, with a mean identity ≥ 95% and mean gene length coverage ≥ 90%. The remaining MSPs were assigned to a higher taxonomic level (genus to superkingdom), if more than 50% of their genes had the same annotation. Construction of the phylogenetic tree 39 universal phylogenetic markers genes were extracted from the MSPs with fetchMGs. Then, the markers were separately aligned with MUSCLE. The alignments were merged and trimmed with trimAl (parameters: -automated1). Finally, the phylogenetic tree was computed with FastTreeMP (parameters: -gamma -pseudo -spr -mlacc 3 -slownni).

Related Organizations
Keywords

Human Health and Pathology, Health and Life Sciences, Microbial Ecology and Applied Microbiology, Medicine, Health and Life Sciences, Microorganisms, Medicine, Omics, Life Sciences, Biology, Pathology and Forensic Medicine

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average