Planta Piloto de Procesos Industriales Microbiológicos, Consejo Nacional de Investigaciones Científicas y Técnicas, San Miguel de Tucumán, Tucumán, Argentina.
Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August University of Göttingen, Grisebachstr. 8, 37077, Göttingen, Germany.
Sci Rep. 2021 Nov 2;11(1):21459. doi: 10.1038/s41598-021-00753-1.
Diamante Lake located at 4589 m.a.s.l. in the Andean Puna constitutes an extreme environment. It is exposed to multiple extreme conditions such as an unusually high concentration of arsenic (over 300 mg L) and low oxygen pressure. Microorganisms thriving in the lake display specific genotypes that facilitate survival, which include at least a multitude of plasmid-encoded resistance traits. Hence, the genetic information provided by the plasmids essentially contributes to understand adaptation to different stressors. Though plasmids from cultivable organisms have already been analyzed to the sequence level, the impact of the entire plasmid-borne genetic information on such microbial ecosystem is not known. This study aims at assessing the plasmidome from Diamante Lake, which facilitates the identification of potential hosts and prediction of gene functions as well as the ecological impact of mobile genetic elements. The deep-sequencing analysis revealed a large fraction of previously unknown DNA sequences of which the majority encoded putative proteins of unknown function. Remarkably, functions related to the oxidative stress response, DNA repair, as well as arsenic- and antibiotic resistances were annotated. Additionally, all necessary capacities related to plasmid replication, mobilization and maintenance were detected. Sequences characteristic for megaplasmids and other already known plasmid-associated genes were identified as well. The study highlights the potential of the deep-sequencing approach specifically targeting plasmid populations as it allows to evaluate the ecological impact of plasmids from (cultivable and non-cultivable) microorganisms, thereby contributing to the understanding of the distribution of resistance factors within an extremophilic microbial community.
位于安第斯普纳的迪亚曼特湖海拔 4589 米,属于极端环境。它暴露于多种极端条件下,如异常高浓度的砷(超过 300 毫克/升)和低氧压力。在湖中茁壮成长的微生物表现出特定的基因型,这些基因型有助于生存,其中至少包括多种质粒编码的抗性特征。因此,质粒提供的遗传信息对于理解对不同胁迫的适应至关重要。虽然已经对可培养生物的质粒进行了测序分析,但整个质粒携带的遗传信息对这种微生物生态系统的影响尚不清楚。本研究旨在评估迪亚曼特湖的质粒组,以鉴定潜在的宿主,并预测基因功能以及移动遗传元件的生态影响。深度测序分析揭示了大量以前未知的 DNA 序列,其中大部分编码未知功能的假定蛋白。值得注意的是,注释了与氧化应激反应、DNA 修复以及砷和抗生素抗性相关的功能。此外,还检测到与质粒复制、移动和维持相关的所有必要能力。还鉴定了特征为巨型质粒和其他已知质粒相关基因的序列。该研究强调了针对质粒群体的深度测序方法的潜力,因为它可以评估(可培养和不可培养)微生物的质粒的生态影响,从而有助于理解抗性因子在极端微生物群落中的分布。