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Large-scale computational discovery and analysis of virus-derived microbial nanocompartments

Encapsulins are a class of microbial protein compartments defined by the viral HK97-fold of their capsid protein, self-assembly into icosahedral shells, and dedicated cargo loading mechanism for sequestering specific enzymes. Encapsulins are often misannotated and traditional sequence-based searches...

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Autores principales: Andreas, Michael P., Giessen, Tobias W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346489/
https://www.ncbi.nlm.nih.gov/pubmed/34362927
http://dx.doi.org/10.1038/s41467-021-25071-y
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author Andreas, Michael P.
Giessen, Tobias W.
author_facet Andreas, Michael P.
Giessen, Tobias W.
author_sort Andreas, Michael P.
collection PubMed
description Encapsulins are a class of microbial protein compartments defined by the viral HK97-fold of their capsid protein, self-assembly into icosahedral shells, and dedicated cargo loading mechanism for sequestering specific enzymes. Encapsulins are often misannotated and traditional sequence-based searches yield many false positive hits in the form of phage capsids. Here, we develop an integrated search strategy to carry out a large-scale computational analysis of prokaryotic genomes with the goal of discovering an exhaustive and curated set of all HK97-fold encapsulin-like systems. We find over 6,000 encapsulin-like systems in 31 bacterial and four archaeal phyla, including two novel encapsulin families. We formulate hypotheses about their potential biological functions and biomedical relevance, which range from natural product biosynthesis and stress resistance to carbon metabolism and anaerobic hydrogen production. An evolutionary analysis of encapsulins and related HK97-type virus families shows that they share a common ancestor, and we conclude that encapsulins likely evolved from HK97-type bacteriophages.
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spelling pubmed-83464892021-08-20 Large-scale computational discovery and analysis of virus-derived microbial nanocompartments Andreas, Michael P. Giessen, Tobias W. Nat Commun Article Encapsulins are a class of microbial protein compartments defined by the viral HK97-fold of their capsid protein, self-assembly into icosahedral shells, and dedicated cargo loading mechanism for sequestering specific enzymes. Encapsulins are often misannotated and traditional sequence-based searches yield many false positive hits in the form of phage capsids. Here, we develop an integrated search strategy to carry out a large-scale computational analysis of prokaryotic genomes with the goal of discovering an exhaustive and curated set of all HK97-fold encapsulin-like systems. We find over 6,000 encapsulin-like systems in 31 bacterial and four archaeal phyla, including two novel encapsulin families. We formulate hypotheses about their potential biological functions and biomedical relevance, which range from natural product biosynthesis and stress resistance to carbon metabolism and anaerobic hydrogen production. An evolutionary analysis of encapsulins and related HK97-type virus families shows that they share a common ancestor, and we conclude that encapsulins likely evolved from HK97-type bacteriophages. Nature Publishing Group UK 2021-08-06 /pmc/articles/PMC8346489/ /pubmed/34362927 http://dx.doi.org/10.1038/s41467-021-25071-y Text en © The Author(s) 2021 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
Andreas, Michael P.
Giessen, Tobias W.
Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title_full Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title_fullStr Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title_full_unstemmed Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title_short Large-scale computational discovery and analysis of virus-derived microbial nanocompartments
title_sort large-scale computational discovery and analysis of virus-derived microbial nanocompartments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346489/
https://www.ncbi.nlm.nih.gov/pubmed/34362927
http://dx.doi.org/10.1038/s41467-021-25071-y
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