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

IF 4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Arunmozhi Bharathi Achudhan, Lilly M Saleena
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引用次数: 0

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.

来自煤炭元基因组的新型高质量基因组草案的比较基因组分析和特征描述。
煤炭是一种沉积岩,其中蕴藏着复杂的微生物群落,对煤炭的形成和特性起着重要作用。然而,煤的元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了解。本研究旨在从 Neyveli 煤矿采集的煤炭样本中重建高质量的元基因组组装基因组(MAGs),以探索煤炭微生物组中尚未揭示的多样性。我们利用 Illumina 测序技术获得了 FASTQ 格式的高质量原始读数。随后,使用 metaWRAP 软件进行从头组装和分选,促进了煤微生物群的重建。使用 CheckM 进行的质量评估确定了 10 个高质量 MAGs(HQ MAGs)、7 个中等质量 MAGs(MQ MAGs)和 6 个低质量 MAGs(LQ MAGs)。使用 GTDB-Tk 进行的进一步分析显示,4 个 HQ MAG 为已知物种,如 Dermacoccus abyssi、Sphingomonas aquatilis、Acinetobacter baumannii 和 Burkholderia cenocepacia。其余 6 个 HQ MAG 被归类为 Comamonas、Arthrobacter、Noviherbaspirillum、Acidovorax、Oxalicibacterium 和 Bordetella,并通过数字 DNA-DNA 杂交(dDDH)验证被指定为新基因组。系统发育分析和对各系统发育群的进一步庞基因组分析显示了类似的模式,云基因的比例很高。我们利用 COG 进一步分析了这些 MAG 和密切相关基因组的功能潜力。比较功能基因组学发现,新基因组具有高度多功能性,可能反映了对煤环境的适应性。利用 BlastKOALA 对与 MAGs 相关的代谢途径进行了详细分析。这项研究强调了对新型煤基因组及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。
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来源期刊
World journal of microbiology & biotechnology
World journal of microbiology & biotechnology 工程技术-生物工程与应用微生物
CiteScore
6.30
自引率
2.40%
发文量
257
审稿时长
2.5 months
期刊介绍: World Journal of Microbiology and Biotechnology publishes research papers and review articles on all aspects of Microbiology and Microbial Biotechnology. Since its foundation, the Journal has provided a forum for research work directed toward finding microbiological and biotechnological solutions to global problems. As many of these problems, including crop productivity, public health and waste management, have major impacts in the developing world, the Journal especially reports on advances for and from developing regions. Some topics are not within the scope of the Journal. Please do not submit your manuscript if it falls into one of the following categories: · Virology · Simple isolation of microbes from local sources · Simple descriptions of an environment or reports on a procedure · Veterinary, agricultural and clinical topics in which the main focus is not on a microorganism · Data reporting on host response to microbes · Optimization of a procedure · Description of the biological effects of not fully identified compounds or undefined extracts of natural origin · Data on not fully purified enzymes or procedures in which they are applied All articles published in the Journal are independently refereed.
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