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BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data

Bacterial microcompartments (BMCs) are protein-based organelles found across the bacterial tree of life. They consist of a shell, made of proteins that oligomerize into hexagonally and pentagonally shaped building blocks, that surrounds enzymes constituting a segment of a metabolic pathway. The prot...

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Autores principales: Sutter, Markus, Kerfeld, Cheryl A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052549/
https://www.ncbi.nlm.nih.gov/pubmed/35484563
http://dx.doi.org/10.1186/s13062-022-00323-z
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author Sutter, Markus
Kerfeld, Cheryl A.
author_facet Sutter, Markus
Kerfeld, Cheryl A.
author_sort Sutter, Markus
collection PubMed
description Bacterial microcompartments (BMCs) are protein-based organelles found across the bacterial tree of life. They consist of a shell, made of proteins that oligomerize into hexagonally and pentagonally shaped building blocks, that surrounds enzymes constituting a segment of a metabolic pathway. The proteins of the shell are unique to BMCs. They also provide selective permeability; this selectivity is dictated by the requirements of their cargo enzymes. We have recently surveyed the wealth of different BMC types and their occurrence in all available genome sequence data by analyzing and categorizing their components found in chromosomal loci using HMM (Hidden Markov Model) protein profiles. To make this a “do-it yourself” analysis for the public we have devised a webserver, BMC Caller (https://bmc-caller.prl.msu.edu), that compares user input sequences to our HMM profiles, creates a BMC locus visualization, and defines the functional type of BMC, if known. Shell proteins in the input sequence data are also classified according to our function-agnostic naming system and there are links to similar proteins in our database as well as an external link to a structure prediction website to easily generate structural models of the shell proteins, which facilitates understanding permeability properties of the shell. Additionally, the BMC Caller website contains a wealth of information on previously analyzed BMC loci with links to detailed data for each BMC protein and phylogenetic information on the BMC shell proteins. Our tools greatly facilitate BMC type identification to provide the user information about the associated organism’s metabolism and enable discovery of new BMC types by providing a reference database of all currently known examples. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13062-022-00323-z.
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spelling pubmed-90525492022-04-30 BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data Sutter, Markus Kerfeld, Cheryl A. Biol Direct Research Bacterial microcompartments (BMCs) are protein-based organelles found across the bacterial tree of life. They consist of a shell, made of proteins that oligomerize into hexagonally and pentagonally shaped building blocks, that surrounds enzymes constituting a segment of a metabolic pathway. The proteins of the shell are unique to BMCs. They also provide selective permeability; this selectivity is dictated by the requirements of their cargo enzymes. We have recently surveyed the wealth of different BMC types and their occurrence in all available genome sequence data by analyzing and categorizing their components found in chromosomal loci using HMM (Hidden Markov Model) protein profiles. To make this a “do-it yourself” analysis for the public we have devised a webserver, BMC Caller (https://bmc-caller.prl.msu.edu), that compares user input sequences to our HMM profiles, creates a BMC locus visualization, and defines the functional type of BMC, if known. Shell proteins in the input sequence data are also classified according to our function-agnostic naming system and there are links to similar proteins in our database as well as an external link to a structure prediction website to easily generate structural models of the shell proteins, which facilitates understanding permeability properties of the shell. Additionally, the BMC Caller website contains a wealth of information on previously analyzed BMC loci with links to detailed data for each BMC protein and phylogenetic information on the BMC shell proteins. Our tools greatly facilitate BMC type identification to provide the user information about the associated organism’s metabolism and enable discovery of new BMC types by providing a reference database of all currently known examples. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13062-022-00323-z. BioMed Central 2022-04-28 /pmc/articles/PMC9052549/ /pubmed/35484563 http://dx.doi.org/10.1186/s13062-022-00323-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sutter, Markus
Kerfeld, Cheryl A.
BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title_full BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title_fullStr BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title_full_unstemmed BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title_short BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
title_sort bmc caller: a webtool to identify and analyze bacterial microcompartment types in sequence data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052549/
https://www.ncbi.nlm.nih.gov/pubmed/35484563
http://dx.doi.org/10.1186/s13062-022-00323-z
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