解码微生物生态和功能:在纸浆造纸处理系统中被氯木质素化合物污染的活性污泥的宏基因组分析

IF 2.6 3区 生物学 Q3 MICROBIOLOGY
Vineet Kumar, Sirat Sandil, Pradeep Verma, Fuad Ameen
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引用次数: 0

摘要

本研究旨在分析活性污泥中原生细菌群落的动态,评估污染物负荷,并解锁活性污泥处理过程中涉及的功能基因。对活性污泥的理化分析显示,其中含有大量的磷酸盐、硫酸盐、氯化物和木质素,以及铁、锌、铜、镍和铅等重金属。同时,GC-MS /MS技术鉴定出十二烷、1 -溴-2-甲基、五烷酸、甲酯、苯二羧酸、豆甾醇、硼酸、二乙基、2-羟甲基环丙烷、2-甲氧基-4-乙基苯酚、3,4,5-三氯苯酚、十八烷酸和四烷酸为主要化合物。此外,操作分类单位(OTU)数据的分类分类显示,变形菌门(Proteobacteria)是最丰富的门,占微生物群落的44.54%。此外,其他门如Bacteriodetes、Acidobacteria、plantomycetes、chlorolfei、Actinobacteria、Verrucomicrobia等在污泥中的含量也在13.27 ~ 4.1%之间。在属和种水平上,优势生物未分类(3.62%),属于红螺旋藻科。此外,基于picrust2的KEGG Orthology (KO)分析显示,由氧化磷酸化和TCA循环驱动的富集能量代谢是最丰富的类别。此外,MetaCyc分析揭示了一个强大的适应性强的微生物群落,其主要途径是有氧呼吸I(细胞色素c)和脂肪酸生物合成途径,如顺式疫苗生物合成。EC作业强调了广泛的酶功能,重点是氧化还原酶和转移酶参与能源生产和生物合成。本研究为污水处理过程中的微生物群落动态提供了有价值的见解,并确定了它们在氯木质素废物污染环境中的功能作用。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Decoding microbial ecology and functions: metagenomic profiling of activated sludge contaminated with chlorolignin compounds in a pulp-paper mill treatment system

Decoding microbial ecology and functions: metagenomic profiling of activated sludge contaminated with chlorolignin compounds in a pulp-paper mill treatment system

Decoding microbial ecology and functions: metagenomic profiling of activated sludge contaminated with chlorolignin compounds in a pulp-paper mill treatment system

This study aimed to profile the dynamics of indigenous bacterial communities in activated sludge, assess the pollutant load, and unlock the functional genes involved during the activated sludge treatment process. The physicochemical analyses of activated sludge revealed high amounts of phosphate, sulfate, chloride, and lignin, along with heavy metals like Fe, Zn, Cu, Ni, and Pb. Simultaneously, the GC–MS/MS technique identified decane, 1 bromo-2-methyl, pentadecanoic acid, methyl ester, benzene dicarboxylic acid, stigmasterol, borinic acid, diethyl, 2-hydroxymethyl cyclopropane, 2-methoxy-4-ethyl-phenol, 3,4,5-trichlorophenol, octadecanoic acid, and tetracosanic acid as major compounds. Furthermore, taxonomic classification of operational taxonomic unit (OTU) data revealed that Proteobacteria was the most abundant phylum, comprising 44.54% of the microbial community. In addition, other phyla, such as Bacteriodetes, Acidobacteria, Planctomycetes, Chlorolfexi, Actinobacteria, and Verrucomicrobia were also recorded within a range between 13.27 and 4.1% in the sludge. At the genus and species levels, the dominant organisms were unclassified (3.62%) and belonged to the family Rhodospirillacea. Further, PICRUSt2-based KEGG Orthology (KO) analysis showed enriched energy metabolism as the most abundant category, driven by oxidative phosphorylation and the TCA cycle. Furthermore, the MetaCyc analysis revealed a robust and adaptable microbial community with the dominant pathways of aerobic respiration I (cytochrome c) and fatty acid biosynthesis pathways, such as cis-vaccenate biosynthesis. The EC assignments highlighted a broad range of enzymatic functions, with a strong emphasis on oxidoreductases and transferases involved in energy production and biosynthesis. This research offers valuable insights into microbial community dynamics in wastewater treatment processes and identifies their functional role in a chlorolignin waste-polluted environment.

Graphical abstract

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来源期刊
Archives of Microbiology
Archives of Microbiology 生物-微生物学
CiteScore
4.90
自引率
3.60%
发文量
601
审稿时长
3 months
期刊介绍: Research papers must make a significant and original contribution to microbiology and be of interest to a broad readership. The results of any experimental approach that meets these objectives are welcome, particularly biochemical, molecular genetic, physiological, and/or physical investigations into microbial cells and their interactions with their environments, including their eukaryotic hosts. Mini-reviews in areas of special topical interest and papers on medical microbiology, ecology and systematics, including description of novel taxa, are also published. Theoretical papers and those that report on the analysis or ''mining'' of data are acceptable in principle if new information, interpretations, or hypotheses emerge.
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