Suppr超能文献

比较基因组分析及新型高质量煤炭宏基因组草图的特性描述。

Comparative genomic analysis and characterization of novel high-quality draft genomes from the coal metagenome.

机构信息

Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.

出版信息

World J Microbiol Biotechnol. 2024 Nov 1;40(12):370. doi: 10.1007/s11274-024-04174-w.

Abstract

Coal, a sedimentary rock harbours a complex microbial community that plays a significant role in its formation and characteristics. However, coal metagenome sequencing and studies were less, limiting our understanding of this complex ecosystem. This study aimed to reconstruct high-quality metagenome-assembled genomes (MAGs) from the coal sample collected in the Neyveli mine to explore the unrevealed diversity of the coal microbiome. Using Illumina sequencing, we obtained high-quality raw reads in FASTQ format. Subsequently, de novo assembly and binning with metaWRAP software facilitated the reconstruction of coal MAGs. Quality assessment using CheckM identified 10 High-Quality MAGs (HQ MAGs), 7 medium-quality MAGs (MQ MAGs), and 6 low-quality MAGs (LQ MAGs). Further analysis using GTDB-Tk revealed four HQ MAGs as known species like Dermacoccus abyssi, Sphingomonas aquatilis, Acinetobacter baumannii, and Burkholderia cenocepacia. The remaining six HQ MAGs were classified as Comamonas, Arthrobacter, Noviherbaspirillum, Acidovorax, Oxalicibacterium, and Bordetella and designated as novel genomes by the validation of digital DNA-DNA hybridization (dDDH). Phylogenetic analysis and further pangenome analysis across the phylogenetic groups revealed a similar pattern with a high proportion of cloud genes. We further analysed the functional potential of these MAGs and closely related genomes using COG. The comparative functional genomics revealed that novel genomes are highly versatile, potentially reflecting adaptations to the coal environment. BlastKOALA was used to conduct a detailed analysis of the metabolic pathways associated with the MAGs. This study highlights the comparative genomic analysis of novel coal genomes with their closely related genomes to understand the evolutionary relationships and functional properties.

摘要

煤炭是一种沉积岩,蕴藏着复杂的微生物群落,这些微生物在煤炭的形成和特性中起着重要作用。然而,煤炭宏基因组测序和研究较少,限制了我们对这一复杂生态系统的理解。本研究旨在从内维利矿采集的煤样中重建高质量的宏基因组组装基因组(MAGs),以探索煤微生物组的未揭示多样性。我们使用 Illumina 测序获得了高质量的 FASTQ 格式原始读数。随后,使用 metaWRAP 软件进行从头组装和分箱,有助于重建煤炭 MAGs。使用 CheckM 进行质量评估,确定了 10 个高质量 MAG(HQ MAG)、7 个中质量 MAG(MQ MAG)和 6 个低质量 MAG(LQ MAG)。进一步使用 GTDB-Tk 分析显示,四个 HQ MAG 被鉴定为已知物种,如 Dermacoccus abyssi、Sphingomonas aquatilis、Acinetobacter baumannii 和 Burkholderia cenocepacia。其余六个 HQ MAG 被归类为 Comamonas、Arthrobacter、Noviherbaspirillum、Acidovorax、Oxalicibacterium 和 Bordetella,并通过数字 DNA-DNA 杂交(dDDH)的验证被指定为新型基因组。系统发育分析和进一步的全基因组分析表明,这些 MAG 与近缘基因组在系统发育组内呈现出相似的模式,具有较高比例的云基因。我们进一步分析了这些 MAG 及其近缘基因组的功能潜力,使用 COG 进行了分析。比较功能基因组学表明,新型基因组具有高度的多功能性,可能反映了对煤炭环境的适应。BlastKOALA 用于对 MAG 相关代谢途径进行详细分析。本研究强调了对新型煤炭基因组与其近缘基因组进行比较基因组分析,以了解其进化关系和功能特性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验