Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA.
PLoS One. 2013 Apr 18;8(4):e61692. doi: 10.1371/journal.pone.0061692. Print 2013.
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.
利用深度宏基因组采样、迭代从头组装和多维系统发育分箱技术,对澳大利亚维多利亚州 Tyrrell 湖自然高盐湖泊生态系统中的微生物种群进行了特征描述。针对 11 种不同的古菌和 1 种细菌,重建了代表特定栖息地微生物种群的复合基因组,占浮游群落的 0.6%至 14.1%。在这 11 个古菌基因组中,有 8 个来自以前没有培养代表的微生物物种。这些新的基因组提供了特定栖息地的参考序列,能够对预测的功能能力和与主要和较少丰度的群落成员相关的细胞特性进行详细的、谱系特异性的分区,包括以前仅通过其 16S rRNA 序列而为人所知的生物。这些数据共同为在同一自然栖息地中对共存、共同进化的微生物群体的蛋白质功能、种群结构和生活方式进行全生态系统分析提供了全面的、无需培养的基因组蓝图。本研究中展示的“组装驱动”群落基因组方法提高了我们超越单个基因研究的能力,并促进了基因组规模重建,作为确定支持环境微生物多样性的代谢、生态和进化动态的切实目标。