Microbiology Unit, Department of Biological Sciences, Al-Hikmah University, Ilorin, Kwara, Nigeria.
Department of Microbiology, Lagos State University, Ojo, Lagos, Nigeria.
Environ Sci Pollut Res Int. 2017 Mar;24(8):7139-7159. doi: 10.1007/s11356-017-8364-3. Epub 2017 Jan 16.
Analyzing the microbial community structure and functions become imperative for ecological processes. To understand the impact of spent engine oil (SEO) contamination on microbial community structure of an agricultural soil, soil microcosms designated 1S (agricultural soil) and AB1 (agricultural soil polluted with SEO) were set up. Metagenomic DNA extracted from the soil microcosms and sequenced using Miseq Illumina sequencing were analyzed for their taxonomic and functional properties. Taxonomic profiling of the two microcosms by MG-RAST revealed the dominance of Actinobacteria (23.36%) and Proteobacteria (52.46%) phyla in 1S and AB1 with preponderance of Streptomyces (12.83%) and Gemmatimonas (10.20%) in 1S and Geodermatophilus (26.24%), Burkholderia (15.40%), and Pseudomonas (12.72%) in AB1, respectively. Our results showed that soil microbial diversity significantly decreased in AB1. Further assignment of the metagenomic reads to MG-RAST, Cluster of Orthologous Groups (COG) of proteins, Kyoto Encyclopedia of Genes and Genomes (KEGG), GhostKOALA, and NCBI's CDD hits revealed diverse metabolic potentials of the autochthonous microbial community. It also revealed the adaptation of the community to various environmental stressors such as hydrocarbon hydrophobicity, heavy metal toxicity, oxidative stress, nutrient starvation, and C/N/P imbalance. To the best of our knowledge, this is the first study that investigates the effect of SEO perturbation on soil microbial communities through Illumina sequencing. The results indicated that SEO contamination significantly affects soil microbial community structure and functions leading to massive loss of nonhydrocarbon degrading indigenous microbiota and enrichment of hydrocarbonoclastic organisms such as members of Proteobacteria and Actinobacteria.
分析微生物群落结构和功能对于生态过程至关重要。为了了解废发动机油 (SEO) 污染对农业土壤微生物群落结构的影响,设置了土壤微宇宙 1S(农业土壤)和 AB1(受 SEO 污染的农业土壤)。从土壤微宇宙中提取的宏基因组 DNA 并使用 Miseq Illumina 测序进行测序,用于分析其分类和功能特性。通过 MG-RAST 对这两个微宇宙的分类分析显示,1S 和 AB1 中的优势菌群为放线菌(23.36%)和变形菌(52.46%),其中 1S 中的优势菌群为链霉菌(12.83%)和Gemmatimonas(10.20%),而 AB1 中的优势菌群为 Geodermatophilus(26.24%)、Burkholderia(15.40%)和 Pseudomonas(12.72%)。结果表明,AB1 中的土壤微生物多样性显著降低。进一步将宏基因组序列分配给 MG-RAST、COG(直系同源群)蛋白、KEGG(京都基因与基因组百科全书)、GhostKOALA 和 NCBI 的 CDD 命中揭示了土著微生物群落的多样化代谢潜力。这也揭示了该群落对各种环境胁迫因素的适应能力,如烃类疏水性、重金属毒性、氧化应激、营养饥饿和 C/N/P 失衡。据我们所知,这是首次通过 Illumina 测序研究 SEO 干扰对土壤微生物群落的影响。结果表明,SEO 污染显著影响土壤微生物群落结构和功能,导致大量非烃降解土著微生物群的丧失和烃降解生物如 Proteobacteria 和 Actinobacteria 成员的富集。