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

被引:149
作者
Angly, Florent E. [1 ,2 ]
Willner, Dana [1 ]
Prieto-Davo, Alejandra [1 ]
Edwards, Robert A. [1 ,3 ,4 ]
Schmieder, Robert [2 ,3 ]
Vega-Thurber, Rebecca [6 ]
Antonopoulos, Dionysios A. [5 ]
Barott, Katie [1 ]
Cottrell, Matthew T. [7 ]
Desnues, Christelle [8 ]
Dinsdale, Elizabeth A. [1 ]
Furlan, Mike [1 ]
Haynes, Matthew [1 ,9 ]
Henn, Matthew R.
Hu, Yongfei [10 ]
Kirchman, David L. [7 ]
McDole, Tracey [1 ]
McPherson, John D. [11 ]
Meyer, Folker [4 ]
Miller, R. Michael [5 ]
Mundt, Egbert [12 ]
Naviaux, Robert K. [13 ]
Rodriguez-Mueller, Beltran [1 ,2 ]
Stevens, Rick [4 ]
Wegley, Linda [1 ]
Zhang, Lixin [10 ]
Zhu, Baoli [10 ]
Rohwer, Forest [1 ]
机构
[1] San Diego State Univ, Dept Biol, San Diego, CA 92182 USA
[2] San Diego State Univ, Computat Sci Res Ctr, San Diego, CA 92182 USA
[3] San Diego State Univ, Dept Comp Sci, San Diego, CA 92182 USA
[4] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA
[5] Argonne Natl Lab, Biosci Div, Argonne, IL 60439 USA
[6] Florida Int Univ, Dept Biol, Miami, FL 33199 USA
[7] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA
[8] Univ Aix Marseille 2, URMITE, CNRS, UMR IRD 6236, Marseille, France
[9] Massachusetts Inst Technol & Harvard, Broad Inst, Cambridge, MA USA
[10] Chinese Acad Sci, Inst Microbiol, Key Lab Pathogen Microbiol & Immunol, Beijing, Peoples R China
[11] MaRS Ctr, Ontario Inst Canc Res, Toronto, ON, Canada
[12] Univ Georgia, Coll Vet Med, Poultry Diagnost & Res Ctr, Athens, GA USA
[13] Univ Calif San Diego, Sch Med, San Diego, CA 92103 USA
基金
国家高技术研究发展计划(863计划); 美国国家科学基金会;
关键词
SPECTRAL ABUNDANCE FACTORS; FIELD GEL-ELECTROPHORESIS; STATISTICAL SIGNIFICANCE; ONLINE TOOL; DIVERSITY; VIRUSES; VIRIOPLANKTON; INFORMATION; RESOURCE; PHAGES;
D O I
10.1371/journal.pcbi.1000593
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:10
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