4.7 Article

Geographic and environmental sources of variation in bacterial community composition in a large-scale municipal landfill site in China

期刊

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
卷 101, 期 2, 页码 761-769

出版社

SPRINGER
DOI: 10.1007/s00253-016-7917-6

关键词

Landfill; Refuse; Bacterial community composition; Geographic difference; Environmental heterogeneity

资金

  1. Natural Science Foundation of China [51578528]
  2. Natural Science Foundation of Chongqing [cstc2014jcyjA20006, cstc2014yykfC20002]
  3. Dean Innovation Foundation of Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science [Y33Z080O10]

向作者/读者索取更多资源

Little is known regarding how bacterial communities assemble at landfill, as well as how the environment shapes the composition of bacterial community. In this study, up to 42 refuse samples from a large-scale landfill in China were physicochemically and phylogenetically investigated. 16S ribosomal RNA (rRNA) gene-based Illumina MiSeq sequencing (nine samples) revealed that representatives of Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Firmicutes, and Bacteroidetes were dominant in the refuse samples, which was similar to a previous study on landfill leachate by using 454 pyrosequencing. Although 741 operational taxonomic units (OTUs) were detected across all nine samples, 6 of these OTUs were detected in all of the data sets, suggesting difference between bacterial community structures. Geographical differences between the samples, irrespective of depths, were revealed by a principal component analysis (PCA) based on the terminal restriction fragment length polymorphism (TRFLP) profiles of 42 refuse samples. Redundancy analysis (RDA) suggested that environmental heterogeneity (pH, landfilling ages, and depths) and the abundance of bacteria (represented by 16S rRNA gene copy numbers) were the main drivers shaping the bacterial community structure.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据