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Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. | LitMetric

AI Article Synopsis

  • Recent advancements in culture-independent analyses of microbial communities have been facilitated by shotgun metagenomics, leading to improved biological profiling methods.
  • The introduction of bioBakery 3 offers advanced techniques for taxonomic, strain-level, functional, and phylogenetic profiling, utilizing an extensive database of reference sequences.
  • Notably, the platform enhances accuracy in identifying microbial communities linked to diseases like colorectal cancer and inflammatory bowel disease, allowing for more comprehensive and reproducible research in multi-omics studies.

Article Abstract

Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available. Compared to current alternatives, MetaPhlAn 3 increases the accuracy of taxonomic profiling, and HUMAnN 3 improves that of functional potential and activity. These methods detected novel disease-microbiome links in applications to CRC (1262 metagenomes) and IBD (1635 metagenomes and 817 metatranscriptomes). Strain-level profiling of an additional 4077 metagenomes with StrainPhlAn 3 and PanPhlAn 3 unraveled the phylogenetic and functional structure of the common gut microbe , previously described by only 15 isolate genomes. With open-source implementations and cloud-deployable reproducible workflows, the bioBakery 3 platform can help researchers deepen the resolution, scale, and accuracy of multi-omic profiling for microbial community studies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096432PMC
http://dx.doi.org/10.7554/eLife.65088DOI Listing

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