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Building blocks and blueprints for bacterial autolysins
Bacteria utilize a wide variety of endogenous cell wall hydrolases, or autolysins, to remodel their cell walls during processes including cell division, biofilm formation, and programmed death. We here systematically investigate the composition of these enzymes in order to gain insights into their a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051824/ https://www.ncbi.nlm.nih.gov/pubmed/33793553 http://dx.doi.org/10.1371/journal.pcbi.1008889 |
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author | Mitchell, Spencer J. Verma, Deeptak Griswold, Karl E. Bailey-Kellogg, Chris |
author_facet | Mitchell, Spencer J. Verma, Deeptak Griswold, Karl E. Bailey-Kellogg, Chris |
author_sort | Mitchell, Spencer J. |
collection | PubMed |
description | Bacteria utilize a wide variety of endogenous cell wall hydrolases, or autolysins, to remodel their cell walls during processes including cell division, biofilm formation, and programmed death. We here systematically investigate the composition of these enzymes in order to gain insights into their associated biological processes, potential ways to disrupt them via chemotherapeutics, and strategies by which they might be leveraged as recombinant antibacterial biotherapies. To do so, we developed LEDGOs (lytic enzyme domains grouped by organism), a pipeline to create and analyze databases of autolytic enzyme sequences, constituent domain annotations, and architectural patterns of multi-domain enzymes that integrate peptidoglycan binding and degrading functions. We applied LEDGOs to eight pathogenic bacteria, gram negatives Acinetobacter baumannii, Klebsiella pneumoniae, Neisseria gonorrhoeae, and Pseudomonas aeruginosa; and gram positives Clostridioides difficile, Enterococcus faecium, Staphylococcus aureus, and Streptococcus pneumoniae. Our analysis of the autolytic enzyme repertoires of these pathogens reveals commonalities and differences in their key domain building blocks and architectures, including correlations and preferred orders among domains in multi-domain enzymes, repetitions of homologous binding domains with potentially complementarity recognition modalities, and sequence similarity patterns indicative of potential divergence of functional specificity among related domains. We have further identified a variety of unannotated sequence regions within the lytic enzymes that may themselves contain new domains with important functions. |
format | Online Article Text |
id | pubmed-8051824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80518242021-04-28 Building blocks and blueprints for bacterial autolysins Mitchell, Spencer J. Verma, Deeptak Griswold, Karl E. Bailey-Kellogg, Chris PLoS Comput Biol Research Article Bacteria utilize a wide variety of endogenous cell wall hydrolases, or autolysins, to remodel their cell walls during processes including cell division, biofilm formation, and programmed death. We here systematically investigate the composition of these enzymes in order to gain insights into their associated biological processes, potential ways to disrupt them via chemotherapeutics, and strategies by which they might be leveraged as recombinant antibacterial biotherapies. To do so, we developed LEDGOs (lytic enzyme domains grouped by organism), a pipeline to create and analyze databases of autolytic enzyme sequences, constituent domain annotations, and architectural patterns of multi-domain enzymes that integrate peptidoglycan binding and degrading functions. We applied LEDGOs to eight pathogenic bacteria, gram negatives Acinetobacter baumannii, Klebsiella pneumoniae, Neisseria gonorrhoeae, and Pseudomonas aeruginosa; and gram positives Clostridioides difficile, Enterococcus faecium, Staphylococcus aureus, and Streptococcus pneumoniae. Our analysis of the autolytic enzyme repertoires of these pathogens reveals commonalities and differences in their key domain building blocks and architectures, including correlations and preferred orders among domains in multi-domain enzymes, repetitions of homologous binding domains with potentially complementarity recognition modalities, and sequence similarity patterns indicative of potential divergence of functional specificity among related domains. We have further identified a variety of unannotated sequence regions within the lytic enzymes that may themselves contain new domains with important functions. Public Library of Science 2021-04-01 /pmc/articles/PMC8051824/ /pubmed/33793553 http://dx.doi.org/10.1371/journal.pcbi.1008889 Text en © 2021 Mitchell et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mitchell, Spencer J. Verma, Deeptak Griswold, Karl E. Bailey-Kellogg, Chris Building blocks and blueprints for bacterial autolysins |
title | Building blocks and blueprints for bacterial autolysins |
title_full | Building blocks and blueprints for bacterial autolysins |
title_fullStr | Building blocks and blueprints for bacterial autolysins |
title_full_unstemmed | Building blocks and blueprints for bacterial autolysins |
title_short | Building blocks and blueprints for bacterial autolysins |
title_sort | building blocks and blueprints for bacterial autolysins |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051824/ https://www.ncbi.nlm.nih.gov/pubmed/33793553 http://dx.doi.org/10.1371/journal.pcbi.1008889 |
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