Paul Biswajit, Pan Palash, Bhattacharyya Nandan
Department of Zoology, Panskura Banamali College (Autonomous), Panskura R.S., Purba Medinipur, West Bengal-721152, Kolkata, India.
Department of Biotechnology, Panskura Banamali College (Autonomous), Panskura R.S., Purba Medinipur, West Bengal-721152, Kolkata, India.
Environ Sci Pollut Res Int. 2025 May;32(23):14002-14019. doi: 10.1007/s11356-025-36520-2. Epub 2025 May 16.
Soil metagenomics using whole genome shotgun sequencing (WGS) uncovers microbial diversity and functionality in soils. This study aimed to explore microbial diversity and functional adaptation in soils exposed to fly ash near the Kolaghat Thermal Power Plant, West Bengal, India, using whole genome shotgun sequencing. Understanding how microbial communities respond to such contamination is essential for developing effective bioremediation strategies. Soil samples were collected from the area, designated as BP1 sample selected for detailed metagenomics analysis. The study extracted DNA with a concentration of 46.2 ng/µl, followed by quality checks and profiling to identify microbial communities. Analysis showed that bacterial communities were dominated by Actinobacteria (48.28%) and Proteobacteria (40.80%), while fungi were primarily represented by Ascomycota (89.50%). Among viruses, Negarnaviricota were most prevalent, with the class Insthoviricetes accounting for 94.60%. Diversity analysis indicated that bacterial populations remained stable, fungal diversity fluctuated, and viral diversity increased, reflecting complex ecological interactions. The presence of key genes involved in lipid and carbohydrate metabolism suggests that microbes adapted to contamination by heavy metals and organic pollutants. The dominance of stress-tolerant Proteobacteria and Actinobacteria highlights their potential role in bioremediation. Future research should explore the potential of these microbes, particularly the role of ABC transporters, in improving pollutant degradation.
使用全基因组鸟枪法测序(WGS)的土壤宏基因组学揭示了土壤中的微生物多样性和功能。本研究旨在利用全基因组鸟枪法测序,探索印度西孟加拉邦科拉加特热电厂附近受粉煤灰污染土壤中的微生物多样性和功能适应性。了解微生物群落如何应对这种污染对于制定有效的生物修复策略至关重要。从该区域采集土壤样本,指定为BP1样本,用于详细的宏基因组学分析。该研究提取了浓度为46.2 ng/µl的DNA,随后进行质量检查和分析以识别微生物群落。分析表明,细菌群落以放线菌(48.28%)和变形菌(40.80%)为主,而真菌主要由子囊菌(89.50%)代表。在病毒中,Negarnaviricota最为普遍,其中Insthoviricetes类占94.60%。多样性分析表明,细菌种群保持稳定,真菌多样性波动,病毒多样性增加,反映了复杂的生态相互作用。参与脂质和碳水化合物代谢的关键基因的存在表明微生物适应了重金属和有机污染物的污染。耐胁迫变形菌和放线菌的优势突出了它们在生物修复中的潜在作用。未来的研究应探索这些微生物的潜力,特别是ABC转运蛋白在改善污染物降解中的作用。
Appl Environ Microbiol. 2025-6-18
Appl Environ Microbiol. 2025-6-18