Suppr超能文献

格雷罗内格罗微生物席中的细菌、古菌、真核生物和病毒的群落生态学和功能潜力。

Community ecology and functional potential of bacteria, archaea, eukarya and viruses in Guerrero Negro microbial mat.

机构信息

Exobiology Branch, NASA Ames Research Center, Moffett Field, CA, USA.

University of Granada, Granada, Spain.

出版信息

Sci Rep. 2024 Jan 31;14(1):2561. doi: 10.1038/s41598-024-52626-y.

Abstract

In this study, the microbial ecology, potential environmental adaptive mechanisms, and the potential evolutionary interlinking of genes between bacterial, archaeal and viral lineages in Guerrero Negro (GN) microbial mat were investigated using metagenomic sequencing across a vertical transect at millimeter scale. The community composition based on unique genes comprised bacteria (98.01%), archaea (1.81%), eukarya (0.07%) and viruses (0.11%). A gene-focused analysis of bacteria archaea, eukarya and viruses showed a vertical partition of the community. The greatest coverages of genes of bacteria and eukarya were detected in first layers, while the highest coverages of genes of archaea and viruses were found in deeper layers. Many genes potentially related to adaptation to the local environment were detected, such as UV radiation, multidrug resistance, oxidative stress, heavy metals, salinity and desiccation. Those genes were found in bacterial, archaeal and viral lineages with 6477, 44, and 1 genes, respectively. The evolutionary histories of those genes were studied using phylogenetic analysis, showing an interlinking between domains in GN mat.

摘要

在这项研究中,使用基于毫米尺度的垂直切片的宏基因组测序,研究了下加利福尼亚州格罗诺(GN)微生物垫中细菌、古菌和病毒谱系之间的微生物生态学、潜在环境适应机制以及基因之间的潜在进化联系。基于独特基因的群落组成包括细菌(98.01%)、古菌(1.81%)、真核生物(0.07%)和病毒(0.11%)。对细菌、古菌、真核生物和病毒的基因进行的重点分析显示出群落的垂直分区。在第一层检测到的细菌和真核生物基因的覆盖率最高,而在更深的层中检测到的古菌和病毒基因的覆盖率最高。检测到许多可能与适应本地环境相关的基因,例如紫外线辐射、多药耐药性、氧化应激、重金属、盐度和干燥。这些基因分别在细菌、古菌和病毒谱系中发现了 6477、44 和 1 个基因。使用系统发育分析研究了这些基因的进化历史,显示了 GN 垫中域之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6114/10831059/76592760ef82/41598_2024_52626_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验