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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...

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Autores principales: Dick, Gregory J, Andersson, Anders F, Baker, Brett J, Simmons, Sheri L, Thomas, Brian C, Yelton, A Pepper, Banfield, Jillian F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
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.
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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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