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深部陆地地下流体微生物群落中的能量与碳代谢

Energy and carbon metabolisms in a deep terrestrial subsurface fluid microbial community.

作者信息

Momper Lily, Jungbluth Sean P, Lee Michael D, Amend Jan P

机构信息

Department of Earth, Atmospheric and Planetary Sciences, The Massachusetts Institute of Technology, Cambridge, MA, USA.

Center for Dark Energy Biosphere Investigations, University of Southern California, Los Angeles, CA, USA.

出版信息

ISME J. 2017 Oct;11(10):2319-2333. doi: 10.1038/ismej.2017.94. Epub 2017 Jun 23.

Abstract

The terrestrial deep subsurface is a huge repository of microbial biomass, but in relation to its size and physical heterogeneity, few sites have been investigated in detail. Here, we applied a culture-independent metagenomic approach to characterize the microbial community composition in deep (1500 meters below surface) terrestrial fluids. Samples were collected from a former gold mine in Lead, South Dakota, USA, now Sanford Underground Research Facility (SURF). We reconstructed 74 genomes from metagenomes (MAGs), enabling the identification of common metabolic pathways. Sulfate and nitrate/nitrite reduction were the most common putative energy metabolisms. Complete pathways for autotrophic carbon fixation were found in more than half of the MAGs, with the reductive acetyl-CoA pathway by far the most common. Nearly 40% (29 of 74) of the recovered MAGs belong to bacterial phyla without any cultivated members-microbial dark matter. Three of our MAGs constitute two novel phyla previously only identified in 16 S rRNA gene surveys. The uniqueness of this data set-its physical depth in the terrestrial subsurface, the relative abundance and completeness of microbial dark matter genomes and the overall diversity of this physically deep, dark, community-make it an invaluable addition to our knowledge of deep subsurface microbial ecology.

摘要

陆地深层地下是微生物生物量的巨大储存库,但相对于其规模和物理异质性而言,很少有地点得到详细研究。在此,我们应用了一种不依赖培养的宏基因组学方法来表征深层(地表以下1500米)陆地流体中的微生物群落组成。样本采自美国南达科他州利德市的一个 former gold mine,现称桑福德地下研究设施(SURF)。我们从宏基因组中重建了74个基因组(MAGs),从而能够识别常见的代谢途径。硫酸盐和硝酸盐/亚硝酸盐还原是最常见的推定能量代谢方式。在超过一半的MAGs中发现了自养碳固定的完整途径,其中还原性乙酰辅酶A途径最为常见。回收的MAGs中近40%(74个中的29个)属于没有任何培养成员的细菌门——微生物暗物质。我们的三个MAGs构成了两个以前仅在16S rRNA基因调查中鉴定出的新门。该数据集的独特性——其在陆地地下的物理深度、微生物暗物质基因组的相对丰度和完整性以及这个物理深度、黑暗群落的整体多样性——使其成为我们对深层地下微生物生态学认识的宝贵补充。

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