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Microbial population index and community structure in saline-alkaline soil using gene targeted metagenomics

机译:基因靶向宏基因组学研究盐碱土壤中微生物种群指数和群落结构

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Population indices of bacteria and archaea were investigated from saline-alkaline soil and a possible microbe-environment pattern was established using gene targeted metagenomics. Clone libraries were constructed using 16S rRNA and functional gene(s) involved in carbon fixation (cbbL), nitrogen fixation ((nifH) ammonia oxidation (amoA) and sulfur metabolism (apsA). Molecular phylogeny revealed the dominance of Actinobacteria, Firmicutes and Proteobacteria along with archaeal members of Halobacteraceae. The library consisted of novel bacterial (20%) and archaeal (38%) genera showing <= 95% similarity to previously retrieved sequences. Phylogenetic analysis indicated ability of inhabitant to survive in stress condition. The 16S rRNA gene libraries contained novel gene sequences and were distantly homologous with cultured bacteria. Functional gene libraries were found unique and most of the clones were distantly related to Proteobacteria, while clones of nifH gene library also showed homology with Cyanobacteria and Firmicutes. Quantitative real-time PCR exhibited that bacterial abundance was two orders of magnitude higher than archaeal. The gene(s) quantification indicated the size of the functional guilds harboring relevant key genes. The study provides insights on microbial ecology and different metabolic interactions occurring in saline-alkaline soil, possessing phylogenetically diverse groups of bacteria and archaea, which may be explored further for gene cataloging and metabolic profiling
机译:从盐碱土壤中调查细菌和古细菌的种群指数,并使用基因靶向的宏基因组学建立了可能的微生物环境模式。利用16S rRNA和涉及碳固定(cbbL),氮固定((nifH)氨氧化(amoA)和硫代谢(apsA)的功能基因构建克隆文库,分子系统发育揭示了放线菌,硬毛菌和变形杆菌的优势。该文库由新细菌(20%)和古细菌(38%)属组成,与先前检索到的序列相似度<= 95%,系统发育分析表明该种群在胁迫条件下具有生存能力。基因文库包含新的基因序列,与培养的细菌具有远距离同源性;发现功能基因文库是独特的,大多数克隆与变形杆菌有远缘关系;而nifH基因文库的克隆也与蓝藻细菌和固件菌具有同源性。表现出细菌丰度比古细菌高两个数量级。指出了具有相关关键基因的功能行会的规模。这项研究提供了关于在盐碱土壤中发生的微生物生态学和不同代谢相互作用的见解,这些细菌在系统发育上具有不同的细菌和古细菌群,可进一步用于基因分类和代谢谱分析

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