利用Kaiju宏基因组分类器对泰米尔纳德邦Tiruppur纺织工业废水进行微生物分类分析

Q3 Agricultural and Biological Sciences
Aswetha Iyer, S. Murugan
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引用次数: 0

摘要

泰米尔纳德邦蒂鲁普尔的纺织业是一个重要的经济部门,但其废水排放充满了染料、化学品和重金属,造成了严重的环境问题。有效处理和回收这些废水对可持续性和公众健康至关重要。本研究采用Kaiju宏基因组分类器对未经处理的纺织废水中的微生物群落进行了分析,重点研究了物种水平的多样性及其对农业灌溉和水再利用的影响。从蒂鲁普尔的一个纺织工业排放点收集废水样本WWS-O,采用高通量方法提取DNA并测序。霰弹枪宏基因组分析提供了物种水平的分类概况,确定了出水中排名前50位的微生物物种。微生物群落以多形单胞菌(Pleomorphomonas sp. NRK KF1)(5739个基因)、apsheronum desulfomicroum(3942个基因)和假脱硫弧菌(Pseudodesulfovibrio indicus)(3564个基因)等硫还原菌为主,工业影响较强。值得注意的是,这些srb中的一些先前已与农业重要植物的根际有关,这表明在土壤健康和植物-微生物相互作用中具有潜在但未被充分开发的作用。与以往关注处理厂属级微生物多样性的废水研究不同,本研究实现了物种水平的分辨率,为工业废水中的微生物适应提供了更深入的见解。这些发现强调了在废水管理中需要微生物分析,特别是在评估工业影响、指导生物修复工作和确保处理后的水在农业中的安全再利用方面。了解本地微生物群落的分类分布可以为可持续的废水处理策略和长期的环境保护提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbial taxonomic profiling of textile industry effluent from Tiruppur, Tamil Nadu for water recycling using Kaiju metagenome classifier
The textile industry in Tiruppur, Tamil Nadu, is a key economic sector, but its wastewater discharge—laden with dyes, chemicals, and heavy metals—poses significant environmental concerns. Effective treatment and recycling of this effluent are essential for sustainability and public health. This study employs the Kaiju metagenome classifier to profile microbial communities in untreated textile effluent, focusing on species-level diversity and its implications for agricultural irrigation and water reuse. Wastewater sample WWS-O was collected from a textile industry discharge point in Tiruppur, and DNA was extracted and sequenced using high-throughput methods. Shotgun metagenomic analysis provided a species-level taxonomic profile, identifying the top 50 microbial species in the effluent. The microbial community was dominated by Sulfur-Reducing Bacteria (SRBs) such as Pleomorphomonas sp. NRK KF1 (5739 genes), Desulfomicrobium apsheronum (3942 genes), and Pseudodesulfovibrio indicus (3564 genes), reflecting strong industrial influence. Notably, some of these SRBs have been previously associated with the rhizosphere of agriculturally important plants, suggesting a potential but underexplored role in soil health and plant-microbe interactions. Unlike previous wastewater studies that focus on genus-level microbial diversity in treatment plants, this study achieves species-level resolution, offering deeper insights into microbial adaptation in industrial effluents. The findings emphasize the need for microbial profiling in wastewater management, particularly in evaluating industrial impact, guiding bioremediation efforts, and ensuring the safe reuse of treated water in agriculture. Understanding the taxonomic distribution of native microbial communities can support sustainable wastewater treatment strategies and long-term environmental protection.
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来源期刊
Ecological Genetics and Genomics
Ecological Genetics and Genomics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.80
自引率
0.00%
发文量
44
期刊介绍: Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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