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Comparative genomics and metabolic profiling of the genus Lysobacter
BACKGROUND: Lysobacter species are Gram-negative bacteria widely distributed in soil, plant and freshwater habitats. Lysobacter owes its name to the lytic effects on other microorganisms. To better understand their ecology and interactions with other (micro)organisms, five Lysobacter strains represe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657364/ https://www.ncbi.nlm.nih.gov/pubmed/26597042 http://dx.doi.org/10.1186/s12864-015-2191-z |
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author | de Bruijn, Irene Cheng, Xu de Jager, Victor Expósito, Ruth Gómez Watrous, Jeramie Patel, Nrupali Postma, Joeke Dorrestein, Pieter C. Kobayashi, Donald Raaijmakers, Jos M. |
author_facet | de Bruijn, Irene Cheng, Xu de Jager, Victor Expósito, Ruth Gómez Watrous, Jeramie Patel, Nrupali Postma, Joeke Dorrestein, Pieter C. Kobayashi, Donald Raaijmakers, Jos M. |
author_sort | de Bruijn, Irene |
collection | PubMed |
description | BACKGROUND: Lysobacter species are Gram-negative bacteria widely distributed in soil, plant and freshwater habitats. Lysobacter owes its name to the lytic effects on other microorganisms. To better understand their ecology and interactions with other (micro)organisms, five Lysobacter strains representing the four species L. enzymogenes, L. capsici, L. gummosus and L. antibioticus were subjected to genomics and metabolomics analyses. RESULTS: Comparative genomics revealed a diverse genome content among the Lysobacter species with a core genome of 2,891 and a pangenome of 10,028 coding sequences. Genes encoding type I, II, III, IV, V secretion systems and type IV pili were highly conserved in all five genomes, whereas type VI secretion systems were only found in L. enzymogenes and L. gummosus. Genes encoding components of the flagellar apparatus were absent in the two sequenced L. antibioticus strains. The genomes contained a large number of genes encoding extracellular enzymes including chitinases, glucanases and peptidases. Various nonribosomal peptide synthase (NRPS) and polyketide synthase (PKS) gene clusters encoding putative bioactive metabolites were identified but only few of these clusters were shared between the different species. Metabolic profiling by imaging mass spectrometry complemented, in part, the in silico genome analyses and allowed visualisation of the spatial distribution patterns of several secondary metabolites produced by or induced in Lysobacter species during interactions with the soil-borne fungus Rhizoctonia solani. CONCLUSIONS: Our work shows that mining the genomes of Lysobacter species in combination with metabolic profiling provides novel insights into the genomic and metabolic potential of this widely distributed but understudied and versatile bacterial genus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2191-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4657364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46573642015-11-25 Comparative genomics and metabolic profiling of the genus Lysobacter de Bruijn, Irene Cheng, Xu de Jager, Victor Expósito, Ruth Gómez Watrous, Jeramie Patel, Nrupali Postma, Joeke Dorrestein, Pieter C. Kobayashi, Donald Raaijmakers, Jos M. BMC Genomics Research Article BACKGROUND: Lysobacter species are Gram-negative bacteria widely distributed in soil, plant and freshwater habitats. Lysobacter owes its name to the lytic effects on other microorganisms. To better understand their ecology and interactions with other (micro)organisms, five Lysobacter strains representing the four species L. enzymogenes, L. capsici, L. gummosus and L. antibioticus were subjected to genomics and metabolomics analyses. RESULTS: Comparative genomics revealed a diverse genome content among the Lysobacter species with a core genome of 2,891 and a pangenome of 10,028 coding sequences. Genes encoding type I, II, III, IV, V secretion systems and type IV pili were highly conserved in all five genomes, whereas type VI secretion systems were only found in L. enzymogenes and L. gummosus. Genes encoding components of the flagellar apparatus were absent in the two sequenced L. antibioticus strains. The genomes contained a large number of genes encoding extracellular enzymes including chitinases, glucanases and peptidases. Various nonribosomal peptide synthase (NRPS) and polyketide synthase (PKS) gene clusters encoding putative bioactive metabolites were identified but only few of these clusters were shared between the different species. Metabolic profiling by imaging mass spectrometry complemented, in part, the in silico genome analyses and allowed visualisation of the spatial distribution patterns of several secondary metabolites produced by or induced in Lysobacter species during interactions with the soil-borne fungus Rhizoctonia solani. CONCLUSIONS: Our work shows that mining the genomes of Lysobacter species in combination with metabolic profiling provides novel insights into the genomic and metabolic potential of this widely distributed but understudied and versatile bacterial genus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2191-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-23 /pmc/articles/PMC4657364/ /pubmed/26597042 http://dx.doi.org/10.1186/s12864-015-2191-z Text en © de Bruijn et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article de Bruijn, Irene Cheng, Xu de Jager, Victor Expósito, Ruth Gómez Watrous, Jeramie Patel, Nrupali Postma, Joeke Dorrestein, Pieter C. Kobayashi, Donald Raaijmakers, Jos M. Comparative genomics and metabolic profiling of the genus Lysobacter |
title | Comparative genomics and metabolic profiling of the genus Lysobacter |
title_full | Comparative genomics and metabolic profiling of the genus Lysobacter |
title_fullStr | Comparative genomics and metabolic profiling of the genus Lysobacter |
title_full_unstemmed | Comparative genomics and metabolic profiling of the genus Lysobacter |
title_short | Comparative genomics and metabolic profiling of the genus Lysobacter |
title_sort | comparative genomics and metabolic profiling of the genus lysobacter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657364/ https://www.ncbi.nlm.nih.gov/pubmed/26597042 http://dx.doi.org/10.1186/s12864-015-2191-z |
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