Assembly- Driven Community Genomics of a Hypersaline Microbial Ecosystem

被引:75
作者
Podell, Sheila [1 ]
Ugalde, Juan A. [1 ]
Narasingarao, Priya [1 ]
Banfield, Jillian F. [2 ,3 ]
Heidelberg, Karla B. [4 ]
Allen, Eric E. [1 ,5 ]
机构
[1] Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA
[2] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
[4] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA
[5] Univ Calif San Diego, Div Biol Sci, La Jolla, CA 92093 USA
来源
PLOS ONE | 2013年 / 8卷 / 04期
基金
美国国家科学基金会;
关键词
MAXIMUM-LIKELIHOOD; DIVERSITY; RECONSTRUCTION; PROKARYOTES; SEQUENCES; ARCHAEON; ABUNDANT; WATER; LIFE; TREE;
D O I
10.1371/journal.pone.0061692
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Microbial populations inhabiting a natural hypersaline lake ecosystem in Lake Tyrrell, Victoria, Australia, have been characterized using deep metagenomic sampling, iterative de novo assembly, and multidimensional phylogenetic binning. Composite genomes representing habitat-specific microbial populations were reconstructed for eleven different archaea and one bacterium, comprising between 0.6 and 14.1% of the planktonic community. Eight of the eleven archaeal genomes were from microbial species without previously cultured representatives. These new genomes provide habitat-specific reference sequences enabling detailed, lineage-specific compartmentalization of predicted functional capabilities and cellular properties associated with both dominant and less abundant community members, including organisms previously known only by their 16S rRNA sequences. Together, these data provide a comprehensive, culture-independent genomic blueprint for ecosystem-wide analysis of protein functions, population structure, and lifestyles of co-existing, co-evolving microbial groups within the same natural habitat. The "assembly-driven'' community genomic approach demonstrated in this study advances our ability to push beyond single gene investigations, and promotes genome-scale reconstructions as a tangible goal in the quest to define the metabolic, ecological, and evolutionary dynamics that underpin environmental microbial diversity.
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页数:12
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