Balachandran Karpaga Raja Sundari, Sankara Subramanianan Sai H, Dhassiah Magesh Peter, Rengarajan Abilasha, Chandrasekaran Muthukumar, Rangamaran Vijaya Raghavan, Gopal Dharani
Marine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India.
Department of Biotechnology, School of Chemical and Biotechnology, SASTRA University, Tanjore, 613401, India.
Mol Genet Genomics. 2023 May;298(3):627-651. doi: 10.1007/s00438-023-01995-6. Epub 2023 Mar 18.
Deep-sea sediments provide important information on oceanic biogeochemical processes mediated by the microbiome and their functional roles which could be unravelled using genomic tools. The present study aimed to delineate microbial taxonomic and functional profiles from Arabian Sea sediment samples through whole metagenome sequencing using Nanopore technology. Arabian Sea is considered as a major microbial reservoir with significant bio-prospecting potential which needs to be explored extensively using recent advances in genomics. Assembly, co-assembly, and binning methods were used to predict Metagenome Assembled Genomes (MAGs) which were further characterized by their completeness and heterogeneity. Nanopore sequencing of Arabian Sea sediment samples generated around 1.73 tera basepairs of data. Proteobacteria (78.32%) was found to be the most dominant phylum followed by Bacteroidetes (9.55%) and Actinobacteria (2.14%) in the sediment metagenome. Further, 35 MAGs from assembled and 38 MAGs of co-assembled reads were generated from long-read sequence dataset with major representations from the genera Marinobacter, Kangiella, and Porticoccus. RemeDB analysis revealed a high representation of pollutant-degrading enzymes involved in hydrocarbon, plastic and dye degradation. Validation of enzymes with long nanopore reads using BlastX resulted in better characterization of complete gene signatures involved in hydrocarbon (6-monooxygenase and 4-hydroxyacetophenone monooxygenase) and dye degradation (Arylsulfatase). Enhancing the cultivability of deep-sea microbes predicted from the uncultured WGS approaches by I-tip method resulted in isolation of facultative extremophiles. This study presents a comprehensive insight into the taxonomic and functional profiles of Arabian Sea sediments, indicating a potential hotspot for bioprospection.
深海沉积物提供了有关由微生物群落介导的海洋生物地球化学过程及其功能作用的重要信息,这些信息可以通过基因组工具来揭示。本研究旨在通过使用纳米孔技术进行全宏基因组测序,描绘阿拉伯海沉积物样本中的微生物分类和功能概况。阿拉伯海被认为是一个具有重大生物勘探潜力的主要微生物库,需要利用基因组学的最新进展进行广泛探索。组装、共组装和分箱方法被用于预测宏基因组组装基因组(MAGs),并通过其完整性和异质性对其进行进一步表征。阿拉伯海沉积物样本的纳米孔测序产生了约1.73太字节的数据。在沉积物宏基因组中,变形菌门(78.32%)是最主要的门类,其次是拟杆菌门(9.55%)和放线菌门(2.14%)。此外,从长读长序列数据集中生成了35个来自组装序列的MAGs和38个来自共组装读数的MAGs,主要代表属为海杆菌属、康氏菌属和港湾球菌属。RemeDB分析显示,参与烃类、塑料和染料降解的污染物降解酶的比例很高。使用BlastX对长纳米孔读数的酶进行验证,能够更好地表征参与烃类(6-单加氧酶和4-羟基苯乙酮单加氧酶)和染料降解(芳基硫酸酯酶)的完整基因特征。通过I-tip方法提高从未培养的全基因组测序方法预测的深海微生物的可培养性,导致了兼性嗜极端微生物的分离。本研究全面深入地了解了阿拉伯海沉积物的分类和功能概况,表明其是生物勘探的一个潜在热点。