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Community-wide analysis of microbial genome sequence signatures
BACKGROUND: Analyses of DNA sequences from cultivated microorganisms have revealed genome-wide, taxa-specific nucleotide compositional characteristics, referred to as genome signatures. These signatures have far-reaching implications for understanding genome evolution and potential application in cl...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745766/ https://www.ncbi.nlm.nih.gov/pubmed/19698104 http://dx.doi.org/10.1186/gb-2009-10-8-r85 |
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author | Dick, Gregory J Andersson, Anders F Baker, Brett J Simmons, Sheri L Thomas, Brian C Yelton, A Pepper Banfield, Jillian F |
author_facet | Dick, Gregory J Andersson, Anders F Baker, Brett J Simmons, Sheri L Thomas, Brian C Yelton, A Pepper Banfield, Jillian F |
author_sort | Dick, Gregory J |
collection | PubMed |
description | BACKGROUND: Analyses of DNA sequences from cultivated microorganisms have revealed genome-wide, taxa-specific nucleotide compositional characteristics, referred to as genome signatures. These signatures have far-reaching implications for understanding genome evolution and potential application in classification of metagenomic sequence fragments. However, little is known regarding the distribution of genome signatures in natural microbial communities or the extent to which environmental factors shape them. RESULTS: We analyzed metagenomic sequence data from two acidophilic biofilm communities, including composite genomes reconstructed for nine archaea, three bacteria, and numerous associated viruses, as well as thousands of unassigned fragments from strain variants and low-abundance organisms. Genome signatures, in the form of tetranucleotide frequencies analyzed by emergent self-organizing maps, segregated sequences from all known populations sharing < 50 to 60% average amino acid identity and revealed previously unknown genomic clusters corresponding to low-abundance organisms and a putative plasmid. Signatures were pervasive genome-wide. Clusters were resolved because intra-genome differences resulting from translational selection or protein adaptation to the intracellular (pH ~5) versus extracellular (pH ~1) environment were small relative to inter-genome differences. We found that these genome signatures stem from multiple influences but are primarily manifested through codon composition, which we propose is the result of genome-specific mutational biases. CONCLUSIONS: An important conclusion is that shared environmental pressures and interactions among coevolving organisms do not obscure genome signatures in acid mine drainage communities. Thus, genome signatures can be used to assign sequence fragments to populations, an essential prerequisite if metagenomics is to provide ecological and biochemical insights into the functioning of microbial communities. |
format | Text |
id | pubmed-2745766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27457662009-09-17 Community-wide analysis of microbial genome sequence signatures Dick, Gregory J Andersson, Anders F Baker, Brett J Simmons, Sheri L Thomas, Brian C Yelton, A Pepper Banfield, Jillian F Genome Biol Research BACKGROUND: Analyses of DNA sequences from cultivated microorganisms have revealed genome-wide, taxa-specific nucleotide compositional characteristics, referred to as genome signatures. These signatures have far-reaching implications for understanding genome evolution and potential application in classification of metagenomic sequence fragments. However, little is known regarding the distribution of genome signatures in natural microbial communities or the extent to which environmental factors shape them. RESULTS: We analyzed metagenomic sequence data from two acidophilic biofilm communities, including composite genomes reconstructed for nine archaea, three bacteria, and numerous associated viruses, as well as thousands of unassigned fragments from strain variants and low-abundance organisms. Genome signatures, in the form of tetranucleotide frequencies analyzed by emergent self-organizing maps, segregated sequences from all known populations sharing < 50 to 60% average amino acid identity and revealed previously unknown genomic clusters corresponding to low-abundance organisms and a putative plasmid. Signatures were pervasive genome-wide. Clusters were resolved because intra-genome differences resulting from translational selection or protein adaptation to the intracellular (pH ~5) versus extracellular (pH ~1) environment were small relative to inter-genome differences. We found that these genome signatures stem from multiple influences but are primarily manifested through codon composition, which we propose is the result of genome-specific mutational biases. CONCLUSIONS: An important conclusion is that shared environmental pressures and interactions among coevolving organisms do not obscure genome signatures in acid mine drainage communities. Thus, genome signatures can be used to assign sequence fragments to populations, an essential prerequisite if metagenomics is to provide ecological and biochemical insights into the functioning of microbial communities. BioMed Central 2009 2009-08-21 /pmc/articles/PMC2745766/ /pubmed/19698104 http://dx.doi.org/10.1186/gb-2009-10-8-r85 Text en Copyright © 2009 Dick et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Dick, Gregory J Andersson, Anders F Baker, Brett J Simmons, Sheri L Thomas, Brian C Yelton, A Pepper Banfield, Jillian F Community-wide analysis of microbial genome sequence signatures |
title | Community-wide analysis of microbial genome sequence signatures |
title_full | Community-wide analysis of microbial genome sequence signatures |
title_fullStr | Community-wide analysis of microbial genome sequence signatures |
title_full_unstemmed | Community-wide analysis of microbial genome sequence signatures |
title_short | Community-wide analysis of microbial genome sequence signatures |
title_sort | community-wide analysis of microbial genome sequence signatures |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745766/ https://www.ncbi.nlm.nih.gov/pubmed/19698104 http://dx.doi.org/10.1186/gb-2009-10-8-r85 |
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