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Metagenomic analysis using 16S ribosomal RNA genes of a bacterial community in an urban stream,the Tama River,Tokyo
Authors:Md Shaheed Reza  Nanami Mizusawa  Ayaka Kumano  Chiharu Oikawa  Daisuke Ouchi  Atsushi Kobiyama  Yuichiro Yamada  Yuri Ikeda  Daisuke Ikeda  Kazuho Ikeo  Shigeru Sato  Takehiko Ogata  Toshiaki Kudo  Mitsuru Jimbo  Ko Yasumoto  Kazutoshi Yoshitake  Shugo Watabe
Institution:1.School of Marine Biosciences, Kitasato University,Sagamihara,Japan;2.Department of Fisheries Technology,Bangladesh Agricultural University,Mymensingh,Bangladesh;3.National Institute of Genetics,Mishima,Japan;4.Laboratory of Aquatic Molecular Biology and Biotechnology, Graduate School of Agricultural and Life Sciences,The University of Tokyo,Tokyo,Japan
Abstract:In an effort to determine genus- or species-level taxonomic profiles and diversity of bacterial consortia in the Tama River around urban Tokyo, next-generation sequencing technology targeting a 16S ribosomal RNA (rRNA) gene amplicon was employed. Metagenomic analysis performed by an Ion Personal Genome Machine after sequentially filtering samples through 5-, 0.8- and 0.2-μm filters yielded 1.48 Gb of 16S sequences (average 2.38 M reads/sample). The results indicated that half of the bacterial sequences belonged to Proteobacteria, followed by Bacteroidetes, Actinobacteria and Cyanobacteria. Flavobacterium (Bacteroidetes), possibly including a potential fish pathogen, was the most numerous genera in the Tama River metagenome, and accounted for?~?16% of assigned 16S reads, followed by Mycobacterium. Other dominant bacterial genera including Zoogloea, Sediminibacterium, Hyphomicrobium, Sphingopyxis, Thiothrix and Lysobacter, were thought to be associated with waste water and sludge. MiSeq metagenomic analysis revealed that environmental factors, particularly water temperature, influenced the bacterial composition throughout the year, with a strong negative correlation observed for Proteobacteria and a positive correlation for Bacteroidetes. In terms of bacterial genera, Flavobacterium was positively correlated with temperature, while Polaromonas, Pseudomonas and Bradyrhizobium were negatively correlated with this, suggesting dynamic change in the free-living bacterial population throughout the year and versatile adaptation strategies in relation to environmental factors.
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