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Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem

机译:高盐度微生物生态系统的组装驱动社区基因组学

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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.
机译:使用深层宏基因组学采样,从头开始的迭代组装和多维系统进化分类,对居住在澳大利亚维多利亚州泰瑞尔湖天然高盐湖生态系统的微生物种群进行了表征。代表11种不同的古细菌和一种细菌,重建了代表栖息地特定微生物种群的复合基因组,占浮游生物群落的0.6%至14.1%。 11个古细菌基因组中的8个来自微生物物种,没有以前培养的代表。这些新的基因组提供了特定于栖息地的参考序列,从而能够对占优势和较不富裕的社区成员(包括以前仅通过其16S rRNA序列已知的生物)相关的预测功能和细胞特性进行详细的,沿袭特定的区室化。这些数据加在一起提供了一个全面的,与文化无关的基因组蓝图,可用于对整个生态系统范围内同一自然栖息地中共存,共生的微生物群的蛋白质功能,种群结构和生活方式进行分析。在这项研究中展示的“组装驱动”社区基因组学方法提高了我们超越单基因研究的能力,并促进了基因组规模的重建,这是寻求确定支撑环境微生物的代谢,生态和进化动力学的切实目标多样性。

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