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MetaRibo-Seq measures translation in microbiomes

No method exists to measure large-scale translation of genes in uncultured organisms in microbiomes. To overcome this limitation, we develop MetaRibo-Seq, a method for simultaneous ribosome profiling of tens to hundreds of organisms in microbiome samples. MetaRibo-Seq was benchmarked against gold-st...

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Autores principales: Fremin, Brayon J., Sberro, Hila, Bhatt, Ami S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324362/
https://www.ncbi.nlm.nih.gov/pubmed/32601270
http://dx.doi.org/10.1038/s41467-020-17081-z
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author Fremin, Brayon J.
Sberro, Hila
Bhatt, Ami S.
author_facet Fremin, Brayon J.
Sberro, Hila
Bhatt, Ami S.
author_sort Fremin, Brayon J.
collection PubMed
description No method exists to measure large-scale translation of genes in uncultured organisms in microbiomes. To overcome this limitation, we develop MetaRibo-Seq, a method for simultaneous ribosome profiling of tens to hundreds of organisms in microbiome samples. MetaRibo-Seq was benchmarked against gold-standard Ribo-Seq in a mock microbial community and applied to five different human fecal samples. Unlike RNA-Seq, Ribo-Seq signal of a predicted gene suggests it encodes a translated protein. We demonstrate two applications of this technique: First, MetaRibo-Seq identifies small genes, whose identification until now has been challenging. For example, MetaRibo-Seq identifies 2,091 translated, previously unannotated small protein families from five fecal samples, more than doubling the number of small proteins predicted to exist in this niche. Second, the combined application of RNA-Seq and MetaRibo-Seq identifies differences in the translation of transcripts. In summary, MetaRibo-Seq enables comprehensive translational profiling in microbiomes and identifies previously unannotated small proteins.
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spelling pubmed-73243622020-07-06 MetaRibo-Seq measures translation in microbiomes Fremin, Brayon J. Sberro, Hila Bhatt, Ami S. Nat Commun Article No method exists to measure large-scale translation of genes in uncultured organisms in microbiomes. To overcome this limitation, we develop MetaRibo-Seq, a method for simultaneous ribosome profiling of tens to hundreds of organisms in microbiome samples. MetaRibo-Seq was benchmarked against gold-standard Ribo-Seq in a mock microbial community and applied to five different human fecal samples. Unlike RNA-Seq, Ribo-Seq signal of a predicted gene suggests it encodes a translated protein. We demonstrate two applications of this technique: First, MetaRibo-Seq identifies small genes, whose identification until now has been challenging. For example, MetaRibo-Seq identifies 2,091 translated, previously unannotated small protein families from five fecal samples, more than doubling the number of small proteins predicted to exist in this niche. Second, the combined application of RNA-Seq and MetaRibo-Seq identifies differences in the translation of transcripts. In summary, MetaRibo-Seq enables comprehensive translational profiling in microbiomes and identifies previously unannotated small proteins. Nature Publishing Group UK 2020-06-29 /pmc/articles/PMC7324362/ /pubmed/32601270 http://dx.doi.org/10.1038/s41467-020-17081-z Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fremin, Brayon J.
Sberro, Hila
Bhatt, Ami S.
MetaRibo-Seq measures translation in microbiomes
title MetaRibo-Seq measures translation in microbiomes
title_full MetaRibo-Seq measures translation in microbiomes
title_fullStr MetaRibo-Seq measures translation in microbiomes
title_full_unstemmed MetaRibo-Seq measures translation in microbiomes
title_short MetaRibo-Seq measures translation in microbiomes
title_sort metaribo-seq measures translation in microbiomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324362/
https://www.ncbi.nlm.nih.gov/pubmed/32601270
http://dx.doi.org/10.1038/s41467-020-17081-z
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