Open ctb opened 9 months ago
Poyet et al., Alm sr author, 2019 A library of human gut bacterial isolates paired with longitudinal multiomics data enables mechanistic microbiome research https://www.nature.com/articles/s41591-019-0559-3
a comprehensive collection of 7,758 gut bacterial isolates paired with 3,632 genome sequences and longitudinal multi-omics data.
Sharon et al,, Banfield sr author. 2013. Time series community genomics analysis reveals rapid shifts in bacterial species, strains, and phage during infant gut colonization https://pubmed.ncbi.nlm.nih.gov/22936250/
We developed new metagenomic methods and utilized them to track species and strain level variations in microbial communities in 11 fecal samples collected from a premature infant during the first month of life. Ninety six percent of the sequencing reads were assembled into scaffolds of >500 bp in length that could be assigned to organisms at the strain level. Six essentially complete (∼99%) and two near-complete genomes were assembled for bacteria that comprised as little as 1% of the community, as well as nine partial genomes of bacteria representing as little as 0.05%.
Aggarwala et al, Faith sr author. 2021. Precise quantification of bacterial strains after fecal microbiota transplantation delineates long-term engraftment and explains outcomes
We assembled a collection of >1,000 different bacterial strains that were cultured from the fecal samples of 22 FMT donors and recipients. We sequenced 85 metagenomes from the 7 donor fecal samples used for FMT and recipient samples taken before and for up to 5 years after FMT.
https://bsky.app/profile/contaminatedsci.bsky.social/post/3kipls72or22o
https://www.biorxiv.org/content/10.1101/2024.01.10.575018v1
Here, we use 4,055 isolate genomes and 360 metagenomes to trace the dynamics of strains on individuals and their transmission.
pretty tractable actually...
iHMP? or something else?
it'd be nice if it had a specific set of genome(s)... could do the hu et al one