尼日利亚三角洲州Obi-Ayagha社区废弃手工炼油厂细菌菌株宏基因组比较研究

Tudararo-Aherobo, Laurelta Esivweneta, Okorhi, Beatrice Folawe
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摘要

目的:本研究的目的是利用16S rRNA基因的高通量测序,鉴定和比较三角洲州Obi-Ayagha社区废弃手工炼油厂土壤样品中存在的细菌菌株和受碳氢化合物影响的土壤样品。研究地点和时间:碳氢化合物影响的土壤是从位于Obi-Ayagha社区的废弃手工炼油厂收集的,并在埃夫伦联邦石油资源大学环境管理和毒理学高级研究实验室进行分析,时间为2022年至2023年。方法:在本研究中,从废弃手工遗址的0-15 cm深度的五个点收集土壤样本并进行合成。利用16S rRNA基因高通量测序分析细菌群落特征,从王国到物种水平鉴定细菌种类。结果:细菌的分类,揭示了污染和未污染(对照)样品中各界、门、纲的丰度。在石油污染和未污染现场发现的优势菌群在门水平上的微生物多样性,被描述为优势群,并被发现为放线菌门(21.94%)作为对照,而厚壁菌门在测试样品中占主导地位,出现率为99.86%。在类水平上,对照组以Alphaproteobacteria(16.48%)为优势菌群,试验组以Bacilli为优势菌群(99.76%)。结论:宏基因组分析有助于预测样品中微生物的存在和相对丰度,这是微生物组分析的关键步骤。
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Comparative Study of Metagenomic Profile of Bacteria Strains Present in an Abandoned Artisanal Refinery Site, in Obi-Ayagha Community, Delta State, Nigeria
Aim: The aim of the study is to identify and compare the bacteria strains present in the control and Hydrocarbon impacted soil samples in the abandoned artisanal refinery site located in Obi-Ayagha community, Delta State, using high-throughput sequencing of the 16S rRNA gene. Place and Duration of Study: The Hydrocarbon impacted soil was collected from the abandoned artisanal refinery site located in Obi-Ayagha community and analysed in the advanced research laboratory of the Department of Environmental Management and Toxicology, Federal University of Petroleum Resources, Effurun between 2022 and 2023. Methodology: In the present study, soil samples were collected from five points to cover the expanse of the site, from depths of 0–15 cm of the abandoned artisanal site and composited. The bacterial community profile was analyzed using high-throughput sequencing of the 16S rRNA gene and the bacteria species were identified from Kingdom to species level. Results: Taxonomical classification of bacteria, revealed the most abundant organisms present in each kingdom, phyla, class, in the contaminated and uncontaminated (control) samples. The dominant species at phylum-level microbial diversity identified in the petroleum-contaminated and  uncontaminated site, is depicted by the dominant groups and were found to be the Actinobacteriota (21.94%) for the control in comparison the Firmicutes dominated the phylum with percentage occurrence of (99.86%) for the test samples. At the class level, the dominant group was Alphaproteobacteria (16.48%) for the control, while Bacilli dominated the class showing (99.76%) for the test samples. Conclusion: Metagenomic profiling helps to predict the presence and relative abundances of microbes in a sample, which is a critical step in microbiome analysis.
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