Pramanik Krishnendu, Sen Arup, Dutta Subrata, Mandal Gouranga Sundar, Paramanik Bappa, Das Arpita, Chatterjee Nitin, Ghorai Ankit Kumar, Ali Md Nasim
Department of Agricultural Biotechnology, Faculty of Agriculture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal, India.
Department of Agricultural Chemistry and Soil Science, Faculty of Agriculture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal, India.
World J Microbiol Biotechnol. 2025 Jun 25;41(7):221. doi: 10.1007/s11274-025-04408-5.
Fluoride exposure, even at a low concentration, significantly impairs crop growth and productivity by inhibiting metabolic enzymes and disrupting photosynthesis. Addressing this challenge, microbial de-fluoridation emerges as a vital strategy to improve soil health, enhance crop growth, and ensure agricultural sustainability. This study analyzed topsoil samples (0-0.2 m depth) from rice fields in three blocks of Purulia district, West Bengal-Arsha, Jhalda-I, and Joypur. Fluoride content in the samples ranged from 58.76 ± 0.76 mg/kg to 282.9 ± 4.9 mg/kg (total) and 1.57 ± 0.02 mg/kg to 2.97 ± 0.03 mg/kg (available). The metagenomic analysis of the collected soil samples revealed diverse microbial communities comprising archaea, bacteria, fungi, and viruses, with Actinobacteria (phylum), Hyphomicrobiales (order), and Nocardioidaceae (family) being the dominant prokaryotes. Arsha soil with comparatively low fluoride contamination exhibited the highest microbial diversity (11,891 taxa), followed by Joypur (11,528 taxa) and Jhalda-I (11,358 taxa), with Arsha showing nearly double the unique microbial taxa compared to the other locations. Clusters of orthologous groups of proteins functional analysis identified 60,898 genes in Arsha, 63,403 genes in Jhalda-I, and 73,334 genes in Joypur, while Kyoto encyclopedia of genes and genomes analysis revealed 9,385, 9,104, and 10,633 genes, respectively. Key genes associated with fluoride metabolism-inorganic pyrophosphatase, divalent metal cation transporter mntH, and putative fluoride ion transporter crcB-were abundant across all sites, highlighting the influence of fluoride on microbial community structure. This study provides the first comprehensive report on soil microbial communities in fluoride-rich areas, highlighting the potential of native fluoride-tolerant microbes to mitigate fluoride toxicity in agricultural soils and offer sustainable, microbe-based solutions to fluoride contamination.
即使在低浓度下,氟暴露也会通过抑制代谢酶和破坏光合作用,显著损害作物生长和生产力。为应对这一挑战,微生物除氟成为改善土壤健康、促进作物生长和确保农业可持续性的重要策略。本研究分析了西孟加拉邦普鲁利亚区三个街区(阿尔沙、贾尔达 - I和乔伊布尔)稻田的表层土壤样本(深度0 - 0.2米)。样本中的氟含量范围为58.76±0.76毫克/千克至282.9±4.9毫克/千克(总量)以及1.57±0.02毫克/千克至2.97±0.03毫克/千克(有效量)。对采集的土壤样本进行宏基因组分析,发现了由古菌、细菌、真菌和病毒组成的多样微生物群落,其中放线菌门、生丝微菌目和诺卡氏菌科是主要的原核生物。氟污染相对较低的阿尔沙土壤表现出最高的微生物多样性(11,891个分类单元),其次是乔伊布尔(11,528个分类单元)和贾尔达 - I(11,358个分类单元),阿尔沙的独特微生物分类单元数量几乎是其他地点的两倍。直系同源蛋白质簇功能分析在阿尔沙鉴定出60,898个基因,在贾尔达 - I鉴定出63,403个基因,在乔伊布尔鉴定出73,334个基因,而京都基因与基因组百科全书分析分别揭示了9,385、9,104和10,633个基因。与氟代谢相关的关键基因——无机焦磷酸酶、二价金属阳离子转运蛋白mntH和假定的氟离子转运蛋白crcB——在所有位点都很丰富,突出了氟对微生物群落结构的影响。本研究提供了关于富氟地区土壤微生物群落的首份综合报告,强调了本地耐氟微生物减轻农业土壤中氟毒性的潜力,并为氟污染提供基于微生物的可持续解决方案。
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