The bacterial diversity in terms of structure and community profile, with special reference to water quality in the wastewater treatment plant of Indian paper industries, is poorly understood. In the present work, characterization of bacterial diversity using 16S (V3-V4 region) rRNA gene amplicon sequencing data with reference to physicochemical parameters in the wastewater treatment plant of two paper industries has been carried out. Amplicon data analysis revealed the presence of bacterial taxa belonging to the phylum such as Bacteroidetes, Proteobacteria, Patescibacteria, Firmicutes, Actinobacteria, etc. Further, taxonomic classification upto genus level and functional analysis data indicated that genera such as Cloacibacterium, Aerococcus, Chryseobacterium, Microbacterium, Acinetobacter, Sphingobium, etc., were involved in the predicted metabolic pathways like carbohydrate metabolism, fatty acid and aromatic compounds biosynthesis as well as degradation. Canonical correspondence analysis confirmed a significant correlation between the microbial pollutions loads and physicochemical parameters. Further, the chemical oxygen demand, biochemical oxygen demand and total suspended solids exceeded the acceptable limits prescribed by Central Pollution Control Board New Delhi, Government of India, for discharge of wastewater. This study finds the correlation between the bacterial community residing in the polluted water of wastewater treatment plant and their environmental preferences. The presence of these bacterial diversity in the wastewater treatment plant of paper industries may affect the maintenance as well as paper quality. In future, it will provide a benchmark for the better understanding and management of wastewater treatment plant in paper industries across the globe.

关于结构和群落特征的细菌多样性，特别是印度造纸工业废水处理厂的水质，知之甚少。在目前的工作中，已参照两个造纸工业废水处理厂中的理化参数，使用16S（V3-V4区）rRNA基因扩增子测序数据对细菌多样性进行了表征。扩增子数据分析显示属于该门如拟杆菌，变形菌，Patescibacteria，厚壁菌门，放线菌，细菌等类群的存在。此外，分类学分类高达属水平和功能分析数据表明，属如Cloacibacterium，气球菌属，金黄，微，不动杆菌，Sphingobium等参与了预测的代谢途径，如碳水化合物代谢，脂肪酸和芳香族化合物的生物合成以及降解。典型的对应分析证实了微生物污染负荷与理化参数之间的显着相关性。此外，化学需氧量，生化需氧量和总悬浮固体超过了印度政府新德里中央污染控制委员会规定的废水排放标准。本研究发现废水处理厂污水中的细菌群落与其环境偏好之间的相关性。造纸工业废水处理厂中这些细菌多样性的存在可能会影响维护和纸张质量。在未来，