Evolution-guided discovery of antibiotics that inhibit peptidoglycan remodelling

Addressing the ongoing antibiotic crisis requires the discovery of compounds with novel mechanisms of action that are capable of treating drug-resistant infections 1 . Many antibiotics are sourced from specialized metabolites produced by bacteria, particularly those of the Actinomycetes family 2 . A...

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Veröffentlicht in:Nature (London) 2020-02, Vol.578 (7796), p.582-587
Hauptverfasser: Culp, Elizabeth J., Waglechner, Nicholas, Wang, Wenliang, Fiebig-Comyn, Aline A., Hsu, Yen-Pang, Koteva, Kalinka, Sychantha, David, Coombes, Brian K., Van Nieuwenhze, Michael S., Brun, Yves V., Wright, Gerard D.
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container_end_page 587
container_issue 7796
container_start_page 582
container_title Nature (London)
container_volume 578
creator Culp, Elizabeth J.
Waglechner, Nicholas
Wang, Wenliang
Fiebig-Comyn, Aline A.
Hsu, Yen-Pang
Koteva, Kalinka
Sychantha, David
Coombes, Brian K.
Van Nieuwenhze, Michael S.
Brun, Yves V.
Wright, Gerard D.
description Addressing the ongoing antibiotic crisis requires the discovery of compounds with novel mechanisms of action that are capable of treating drug-resistant infections 1 . Many antibiotics are sourced from specialized metabolites produced by bacteria, particularly those of the Actinomycetes family 2 . Although actinomycete extracts have traditionally been screened using activity-based platforms, this approach has become unfavourable owing to the frequent rediscovery of known compounds. Genome sequencing of actinomycetes reveals an untapped reservoir of biosynthetic gene clusters, but prioritization is required to predict which gene clusters may yield promising new chemical matter 2 . Here we make use of the phylogeny of biosynthetic genes along with the lack of known resistance determinants to predict divergent members of the glycopeptide family of antibiotics that are likely to possess new biological activities. Using these predictions, we uncovered two members of a new functional class of glycopeptide antibiotics—the known glycopeptide antibiotic complestatin and a newly discovered compound we call corbomycin—that have a novel mode of action. We show that by binding to peptidoglycan, complestatin and corbomycin block the action of autolysins—essential peptidoglycan hydrolases that are required for remodelling of the cell wall during growth. Corbomycin and complestatin have low levels of resistance development and are effective in reducing bacterial burden in a mouse model of skin MRSA infection. The glycopeptide antibiotic-related compounds complestatin and corbomycin function by binding to peptidoglycan and blocking the action of autolysins—peptidoglycan hydrolase enzymes that remodel the cell wall during growth.
doi_str_mv 10.1038/s41586-020-1990-9
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Many antibiotics are sourced from specialized metabolites produced by bacteria, particularly those of the Actinomycetes family 2 . Although actinomycete extracts have traditionally been screened using activity-based platforms, this approach has become unfavourable owing to the frequent rediscovery of known compounds. Genome sequencing of actinomycetes reveals an untapped reservoir of biosynthetic gene clusters, but prioritization is required to predict which gene clusters may yield promising new chemical matter 2 . Here we make use of the phylogeny of biosynthetic genes along with the lack of known resistance determinants to predict divergent members of the glycopeptide family of antibiotics that are likely to possess new biological activities. Using these predictions, we uncovered two members of a new functional class of glycopeptide antibiotics—the known glycopeptide antibiotic complestatin and a newly discovered compound we call corbomycin—that have a novel mode of action. We show that by binding to peptidoglycan, complestatin and corbomycin block the action of autolysins—essential peptidoglycan hydrolases that are required for remodelling of the cell wall during growth. Corbomycin and complestatin have low levels of resistance development and are effective in reducing bacterial burden in a mouse model of skin MRSA infection. 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Culp, Elizabeth J.</au><au>Waglechner, Nicholas</au><au>Wang, Wenliang</au><au>Fiebig-Comyn, Aline A.</au><au>Hsu, Yen-Pang</au><au>Koteva, Kalinka</au><au>Sychantha, David</au><au>Coombes, Brian K.</au><au>Van Nieuwenhze, Michael S.</au><au>Brun, Yves V.</au><au>Wright, Gerard D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evolution-guided discovery of antibiotics that inhibit peptidoglycan remodelling</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2020-02-27</date><risdate>2020</risdate><volume>578</volume><issue>7796</issue><spage>582</spage><epage>587</epage><pages>582-587</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><abstract>Addressing the ongoing antibiotic crisis requires the discovery of compounds with novel mechanisms of action that are capable of treating drug-resistant infections 1 . Many antibiotics are sourced from specialized metabolites produced by bacteria, particularly those of the Actinomycetes family 2 . Although actinomycete extracts have traditionally been screened using activity-based platforms, this approach has become unfavourable owing to the frequent rediscovery of known compounds. Genome sequencing of actinomycetes reveals an untapped reservoir of biosynthetic gene clusters, but prioritization is required to predict which gene clusters may yield promising new chemical matter 2 . Here we make use of the phylogeny of biosynthetic genes along with the lack of known resistance determinants to predict divergent members of the glycopeptide family of antibiotics that are likely to possess new biological activities. Using these predictions, we uncovered two members of a new functional class of glycopeptide antibiotics—the known glycopeptide antibiotic complestatin and a newly discovered compound we call corbomycin—that have a novel mode of action. We show that by binding to peptidoglycan, complestatin and corbomycin block the action of autolysins—essential peptidoglycan hydrolases that are required for remodelling of the cell wall during growth. Corbomycin and complestatin have low levels of resistance development and are effective in reducing bacterial burden in a mouse model of skin MRSA infection. The glycopeptide antibiotic-related compounds complestatin and corbomycin function by binding to peptidoglycan and blocking the action of autolysins—peptidoglycan hydrolase enzymes that remodel the cell wall during growth.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32051588</pmid><doi>10.1038/s41586-020-1990-9</doi><tpages>6</tpages></addata></record>
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identifier ISSN: 0028-0836
ispartof Nature (London), 2020-02, Vol.578 (7796), p.582-587
issn 0028-0836
1476-4687
language eng
recordid cdi_proquest_miscellaneous_2354739628
source MEDLINE; Springer Nature - Complete Springer Journals; Nature Journals Online
subjects 14/63
140/131
45/23
631/154/555
631/326
631/326/22/1290
64/60
692/699/255/1318
82/16
Actinobacteria - chemistry
Actinobacteria - genetics
Actinobacteria - metabolism
Actinomycetes
Animals
Anti-Bacterial Agents - chemistry
Anti-Bacterial Agents - metabolism
Anti-Bacterial Agents - pharmacology
Antibiotics
Autolysins
Biological activity
Biosynthesis
Biosynthetic Pathways - genetics
Cell Wall - metabolism
Cell walls
Chlorophenols - chemistry
Chlorophenols - metabolism
Chlorophenols - pharmacology
Disease Models, Animal
Divergence
Drug Discovery
Drug resistance
Drug Resistance, Microbial - drug effects
Drug Resistance, Microbial - genetics
Fatty acids
Female
Gene clusters
Gene sequencing
Genes
Genomes
Glycopeptides
Health aspects
Humanities and Social Sciences
Metabolism
Metabolites
Methicillin-Resistant Staphylococcus aureus - drug effects
Methods
Mice
Microbial Sensitivity Tests
Mode of action
multidisciplinary
Multigene Family
N-Acetylmuramoyl-L-alanine Amidase - antagonists & inhibitors
Peptides
Peptides, Cyclic - chemistry
Peptides, Cyclic - metabolism
Peptides, Cyclic - pharmacology
Peptidoglycan - drug effects
Peptidoglycan - metabolism
Peptidoglycans
Phylogenetics
Phylogeny
Science
Science (multidisciplinary)
Skin - microbiology
Staphylococcal Infections - microbiology
title Evolution-guided discovery of antibiotics that inhibit peptidoglycan remodelling
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