Balamurugan Jayashree, Jagadeesan Hema, Vijayakumar Manisha
Department of Biotechnology, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore 641004, Tamil Nadu, India.
Department of Biotechnology, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore 641004, Tamil Nadu, India.
J Contam Hydrol. 2025 Nov;275:104703. doi: 10.1016/j.jconhyd.2025.104703. Epub 2025 Aug 26.
Azo dye contamination poses significant environmental challenges due to its persistence and toxicity. Plant-microbe integrated systems offer a sustainable solution for dye bioremediation, yet the functional roles of microbial communities and their interactions within community and with host plants during bioremediation remain underexplored. This study presents an integrated, multi omics approach to dissect the microbial diversity, functional potential, and plant-microbe interactions within a plant-microbe integrated bioremediation system for model azo dye, methyl red degradation. The microbial diversity of various organisms enriched under different treatment conditions for effective azo dye treatment was explored. A read-based approach using HUMAnN 3 pipeline was adopted to extract metabolic information from the shotgun metagenomic reads. Diversity analysis showed the enrichment of microorganisms capable of growing in the presence of the pollutant methyl red in an oligotrophic condition. The metabolic potential of the enriched organisms in dye removal was studied. Based on the enzymatic abundance, a pathway for the degradation of methyl red is proposed. Endophytic bacteria such as Klebsiella pneumoniae and Klebsiella varicola were responsible for encoding major dye-degrading enzymes in plant-integrated systems. In the plant-microbe integrated system both endophytic and intestinal microorganisms such as Kluyvera intestini and Escherichia coli are among the top 5 contributors of genes encoding downstream aromatic compound degradation enzymes. Notably Enterococcus casseliflavus showed highest enzyme abundance for azobenzene reductase in plant -microbe integrated strategy with 11.5-fold greater abundance than the treatment system containing only microbial inoculum. Metabolomics data from root exudates experiment revealed the role of root exudates in selective recruitment of microbial community. The role of biofilm and quorum sensing pathways in enhancing the bioremediation potential of the microbiome and the potential microbe-microbe and plant-microbe interaction was analysed. Deciphering the metabolic contribution of each microorganism and the microbiome as a whole is crucial to design engineered bioremediation systems. ENVIRONMENTAL IMPLICATIONS: Understanding the potential of microorganisms, their enrichments, and survival will help in designing specific consortia for effective degradation of pollutants. Metagenomic analysis reveal that the functional complementation in the microbiome is responsible for the pollutant degradation and the presence of plants through the root exudates, provide the nutrients lacking in the oligotrophic conditions observed in many waste streams, thereby enriching suitable microorganisms. This metagenomic study along with the metabolomics component, provides the justification for the efficiency of the plant microbe treatment of model dye methyl red and this could be exploited in real time situations.
偶氮染料污染因其持久性和毒性而带来重大的环境挑战。植物-微生物整合系统为染料生物修复提供了一种可持续的解决方案,然而在生物修复过程中,微生物群落的功能作用及其在群落内部以及与宿主植物之间的相互作用仍未得到充分探索。本研究提出了一种综合的多组学方法,以剖析用于降解模型偶氮染料甲基红的植物-微生物整合生物修复系统中的微生物多样性、功能潜力以及植物-微生物相互作用。探索了在不同处理条件下富集的各种生物的微生物多样性,以实现有效的偶氮染料处理。采用基于读取的方法,使用HUMAnN 3管道从鸟枪法宏基因组读取中提取代谢信息。多样性分析表明,在贫营养条件下,能够在污染物甲基红存在的情况下生长的微生物得以富集。研究了富集生物在染料去除方面的代谢潜力。基于酶的丰度,提出了一条甲基红降解途径。内生细菌如肺炎克雷伯菌和变栖克雷伯菌在植物整合系统中负责编码主要的染料降解酶。在植物-微生物整合系统中,内生微生物和肠道微生物如肠居克鲁维酵母和大肠杆菌是编码下游芳香族化合物降解酶的基因的前五大贡献者。值得注意的是,在植物-微生物整合策略中,格氏肠球菌的偶氮苯还原酶酶丰度最高,比仅含有微生物接种物的处理系统高11.5倍。根系分泌物实验的代谢组学数据揭示了根系分泌物在选择性招募微生物群落中的作用。分析了生物膜和群体感应途径在增强微生物群落生物修复潜力以及潜在的微生物-微生物和植物-微生物相互作用中的作用。解读每个微生物以及整个微生物群落的代谢贡献对于设计工程化生物修复系统至关重要。环境意义:了解微生物的潜力、它们的富集情况和生存能力将有助于设计特定的菌群以有效降解污染物。宏基因组分析表明,微生物群落中的功能互补负责污染物的降解,而植物通过根系分泌物提供了许多废水流中贫营养条件下缺乏的养分,从而富集了合适的微生物。这项宏基因组研究以及代谢组学部分,为植物微生物处理模型染料甲基红的效率提供了依据,这可以在实际情况中加以利用。