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The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes

Metagenomic studies characterize both the composition and diversity of uncultured viral and microbial communities. BLAST-based comparisons have typically been used for such analyses; however, sampling biases, high percentages of unknown sequences, and the use of arbitrary thresholds to find signific...

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Autores principales: Angly, Florent E., Willner, Dana, Prieto-Davó, Alejandra, Edwards, Robert A., Schmieder, Robert, Vega-Thurber, Rebecca, Antonopoulos, Dionysios A., Barott, Katie, Cottrell, Matthew T., Desnues, Christelle, Dinsdale, Elizabeth A., Furlan, Mike, Haynes, Matthew, Henn, Matthew R., Hu, Yongfei, Kirchman, David L., McDole, Tracey, McPherson, John D., Meyer, Folker, Miller, R. Michael, Mundt, Egbert, Naviaux, Robert K., Rodriguez-Mueller, Beltran, Stevens, Rick, Wegley, Linda, Zhang, Lixin, Zhu, Baoli, Rohwer, Forest
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781106/
https://www.ncbi.nlm.nih.gov/pubmed/20011103
http://dx.doi.org/10.1371/journal.pcbi.1000593
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author Angly, Florent E.
Willner, Dana
Prieto-Davó, Alejandra
Edwards, Robert A.
Schmieder, Robert
Vega-Thurber, Rebecca
Antonopoulos, Dionysios A.
Barott, Katie
Cottrell, Matthew T.
Desnues, Christelle
Dinsdale, Elizabeth A.
Furlan, Mike
Haynes, Matthew
Henn, Matthew R.
Hu, Yongfei
Kirchman, David L.
McDole, Tracey
McPherson, John D.
Meyer, Folker
Miller, R. Michael
Mundt, Egbert
Naviaux, Robert K.
Rodriguez-Mueller, Beltran
Stevens, Rick
Wegley, Linda
Zhang, Lixin
Zhu, Baoli
Rohwer, Forest
author_facet Angly, Florent E.
Willner, Dana
Prieto-Davó, Alejandra
Edwards, Robert A.
Schmieder, Robert
Vega-Thurber, Rebecca
Antonopoulos, Dionysios A.
Barott, Katie
Cottrell, Matthew T.
Desnues, Christelle
Dinsdale, Elizabeth A.
Furlan, Mike
Haynes, Matthew
Henn, Matthew R.
Hu, Yongfei
Kirchman, David L.
McDole, Tracey
McPherson, John D.
Meyer, Folker
Miller, R. Michael
Mundt, Egbert
Naviaux, Robert K.
Rodriguez-Mueller, Beltran
Stevens, Rick
Wegley, Linda
Zhang, Lixin
Zhu, Baoli
Rohwer, Forest
author_sort Angly, Florent E.
collection PubMed
description Metagenomic studies characterize both the composition and diversity of uncultured viral and microbial communities. BLAST-based comparisons have typically been used for such analyses; however, sampling biases, high percentages of unknown sequences, and the use of arbitrary thresholds to find significant similarities can decrease the accuracy and validity of estimates. Here, we present Genome relative Abundance and Average Size (GAAS), a complete software package that provides improved estimates of community composition and average genome length for metagenomes in both textual and graphical formats. GAAS implements a novel methodology to control for sampling bias via length normalization, to adjust for multiple BLAST similarities by similarity weighting, and to select significant similarities using relative alignment lengths. In benchmark tests, the GAAS method was robust to both high percentages of unknown sequences and to variations in metagenomic sequence read lengths. Re-analysis of the Sargasso Sea virome using GAAS indicated that standard methodologies for metagenomic analysis may dramatically underestimate the abundance and importance of organisms with small genomes in environmental systems. Using GAAS, we conducted a meta-analysis of microbial and viral average genome lengths in over 150 metagenomes from four biomes to determine whether genome lengths vary consistently between and within biomes, and between microbial and viral communities from the same environment. Significant differences between biomes and within aquatic sub-biomes (oceans, hypersaline systems, freshwater, and microbialites) suggested that average genome length is a fundamental property of environments driven by factors at the sub-biome level. The behavior of paired viral and microbial metagenomes from the same environment indicated that microbial and viral average genome sizes are independent of each other, but indicative of community responses to stressors and environmental conditions.
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spelling pubmed-27811062009-12-15 The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes Angly, Florent E. Willner, Dana Prieto-Davó, Alejandra Edwards, Robert A. Schmieder, Robert Vega-Thurber, Rebecca Antonopoulos, Dionysios A. Barott, Katie Cottrell, Matthew T. Desnues, Christelle Dinsdale, Elizabeth A. Furlan, Mike Haynes, Matthew Henn, Matthew R. Hu, Yongfei Kirchman, David L. McDole, Tracey McPherson, John D. Meyer, Folker Miller, R. Michael Mundt, Egbert Naviaux, Robert K. Rodriguez-Mueller, Beltran Stevens, Rick Wegley, Linda Zhang, Lixin Zhu, Baoli Rohwer, Forest PLoS Comput Biol Research Article Metagenomic studies characterize both the composition and diversity of uncultured viral and microbial communities. BLAST-based comparisons have typically been used for such analyses; however, sampling biases, high percentages of unknown sequences, and the use of arbitrary thresholds to find significant similarities can decrease the accuracy and validity of estimates. Here, we present Genome relative Abundance and Average Size (GAAS), a complete software package that provides improved estimates of community composition and average genome length for metagenomes in both textual and graphical formats. GAAS implements a novel methodology to control for sampling bias via length normalization, to adjust for multiple BLAST similarities by similarity weighting, and to select significant similarities using relative alignment lengths. In benchmark tests, the GAAS method was robust to both high percentages of unknown sequences and to variations in metagenomic sequence read lengths. Re-analysis of the Sargasso Sea virome using GAAS indicated that standard methodologies for metagenomic analysis may dramatically underestimate the abundance and importance of organisms with small genomes in environmental systems. Using GAAS, we conducted a meta-analysis of microbial and viral average genome lengths in over 150 metagenomes from four biomes to determine whether genome lengths vary consistently between and within biomes, and between microbial and viral communities from the same environment. Significant differences between biomes and within aquatic sub-biomes (oceans, hypersaline systems, freshwater, and microbialites) suggested that average genome length is a fundamental property of environments driven by factors at the sub-biome level. The behavior of paired viral and microbial metagenomes from the same environment indicated that microbial and viral average genome sizes are independent of each other, but indicative of community responses to stressors and environmental conditions. Public Library of Science 2009-12-11 /pmc/articles/PMC2781106/ /pubmed/20011103 http://dx.doi.org/10.1371/journal.pcbi.1000593 Text en Angly et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Angly, Florent E.
Willner, Dana
Prieto-Davó, Alejandra
Edwards, Robert A.
Schmieder, Robert
Vega-Thurber, Rebecca
Antonopoulos, Dionysios A.
Barott, Katie
Cottrell, Matthew T.
Desnues, Christelle
Dinsdale, Elizabeth A.
Furlan, Mike
Haynes, Matthew
Henn, Matthew R.
Hu, Yongfei
Kirchman, David L.
McDole, Tracey
McPherson, John D.
Meyer, Folker
Miller, R. Michael
Mundt, Egbert
Naviaux, Robert K.
Rodriguez-Mueller, Beltran
Stevens, Rick
Wegley, Linda
Zhang, Lixin
Zhu, Baoli
Rohwer, Forest
The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title_full The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title_fullStr The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title_full_unstemmed The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title_short The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
title_sort gaas metagenomic tool and its estimations of viral and microbial average genome size in four major biomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781106/
https://www.ncbi.nlm.nih.gov/pubmed/20011103
http://dx.doi.org/10.1371/journal.pcbi.1000593
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