Rajiv Das Kangabam, Yumnam Silla, Gunajit Goswami and Madhumita Barooah* Pages 1 - 13 ( 13 )
Background: Microorganisms are important component of an aquatic ecosystem and play a critical biogeochemical cycle which influence the materials circulation and maintain the balance in an aquatic ecosystems.
Objective: The seasonal variation along with the impact of anthropogenic activities, water quality, bacterial community composition and dynamics in the Loktak Lake, the largest fresh water lake of North East India, located in the Indo-Burma hotspot region was assessed during post-monsoon and winter season in the Loktak lake in Manipur as through metagenome analysis.
Methods: Five soil samples were collected during Post-monsoon and winter season from the Loktak Lake that had undergone different anthropogenic impact. The metagenomic DNA of the soil samples were extracted using commercial metagenomic DNA extraction kits using the manufacturer’s instruction. The extracted DNA was used to prepare NGS library and sequenced in Illumina MiSeq platform.
Results: Metagenomics analysis reveals Proteobacteria as the predominant community followed by Acidobacteria and Actinobacteria. The presence of these groups of bacteria indicates nitrogen fixation, oxidation of iron, sulfur, methane, and source of novel antibiotic candidates. The bacterial members belonging to different groups were involved in various biogeochemical processes, including fixation of carbon and nitrogen, producer of streptomycin, gramicidin and oxidation of sulfur, sulfide, ammonia, and methane.
Conclusion: The outcome of this study provides a valuable dataset representing a seasonal profile across various land use and analysis, targeting at establishing an understanding of how the microbial communities vary across the land use and the role of keystone taxa. The findings may contribute to searches for microbial bio-indicators as biodiversity markers for improving the aquatic ecosystem of the Loktak Lake.
Wetlands, Metagenomics, Microbial diversity, Land use, Biogeochemical, Keystone, Bio-indicators.
Department Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, Advanced Computational and Data Sciences Division, CSIR- North East Institute of Science and Technology, Jorhat-785006, Department Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, Department Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013