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Annual Review of Biomedical Data Science

Volume 4, 2021

Metatranscriptomics for the Human Microbiome and Microbial Community Functional Profiling

Abstract

Shotgun metatranscriptomics (MTX) is an increasingly practical way to survey microbial community gene function and regulation at scale. This review begins by summarizing the motivations for community transcriptomics and the history of the field. We then explore the principles, best practices, and challenges of contemporary MTX workflows: beginning with laboratory methods for isolation and sequencing of community RNA, followed by informatics methods for quantifying RNA features, and finally statistical methods for detecting differential expression in a community context. In thesecond half of the review, we survey important biological findings from the MTX literature, drawing examples from the human microbiome, other (nonhuman) host-associated microbiomes, and the environment. Across these examples, MTX methods prove invaluable for probing microbe–microbe and host–microbe interactions, the dynamics of energy harvest and chemical cycling, and responses to environmental stresses. We conclude with a review of open challenges in the MTX field, including making assays and analyses more robust, accessible, and adaptable to new technologies; deciphering roles for millions of uncharacterized microbial transcripts; and solving applied problems such as biomarker discovery and development of microbial therapeutics.

Keyword(s): functional activity, meta-omics, metatranscriptome, RNA-seq
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/content/journals/10.1146/annurev-biodatasci-031121-103035
2021-07-20
2024-04-18
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/content/journals/10.1146/annurev-biodatasci-031121-103035
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Metatranscriptomics for the Human Microbiome and Microbial Community Functional Profiling
Annual Review of Biomedical Data Science 4, 279 (2021); https://doi.org/10.1146/annurev-biodatasci-031121-103035
/content/journals/10.1146/annurev-biodatasci-031121-103035
/content/journals/10.1146/annurev-biodatasci-031121-103035
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