Microbial community dynamics based on 16S rRNA gene profiles in a Pacific Northwest estuary and its tributaries

被引:90
|
作者
Bernhard, AE [1 ]
Colbert, D
McManus, J
Field, KG
机构
[1] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA
[2] Oregon State Univ, Coll Ocean & Atmospher Sci, Corvallis, OR 97331 USA
基金
美国海洋和大气管理局;
关键词
estuary; 16S ribosomal RNA; microbial community; salinity gradient; LH-PCR; Tillamook Bay;
D O I
10.1016/j.femsec.2004.10.016
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
We analyzed bacterioplankton community. structure in Tillamook Bay, Oregon and its tributaries to evaluate phylogenetic variability and its relation to changes in environmental conditions along an estuarine gradient. Using eubacterial primers, we amplified 16S rRNA genes from environmental DNA and analyzed the PCR products by length heterogeneity polymerase chain reaction (LH-PCR), which discriminates products based on naturally occurring length differences. Analysis of LH-PCR profiles by multivariate ordination methods revealed differences in community composition along the estuarine gradient that were correlated with changes in environmental variables. Microbial community differences were also detected among different rivers. Using partial 16S rRNA sequences. we identified members of dominant or unique gene fragment size classes distributed along the estuarine gradient. Gammaproteobacteria and Betaproteobacteria and members of the Bacteroidetes dominated in freshwater samples, while Alphaproteobacteria, Cyanobacteria and chloroplast genes dominated in marine samples. Changes in the microbial communities correlated most strongly with salinity and dissolved silicon, but were also strongly correlated with precipitation. We also identified specific gene fragments that were correlated with inorganic nutrients. Our data suggest that there is a significant and predictable change in microbial species composition along an estuarine gradient, shifting from a more complex community structure in freshwater habitats to a community more typical of open ocean samples in the marine-influenced sites. We also demonstrate the resolution and power of LH-PCR and multivariate analyses to provide a rapid assessment of major community shifts, and show how these shifts correlate with environmental variables. (c) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:115 / 128
页数:14
相关论文
共 50 条
  • [11] Composition of the oil-slime microbial community as determined by analysis of the 16S rRNA gene
    Grigoryeva, T. V.
    Laikov, A. V.
    Rizvanov, A. A.
    Ilinskaya, O. N.
    Naumova, R. P.
    MICROBIOLOGY, 2013, 82 (05) : 637 - 641
  • [12] The Gut Microbial Community of Antarctic Fish Detected by 16S rRNA Gene Sequence Analysis
    Song, Wei
    Li, Lingzhi
    Huang, Hongliang
    Jiang, Keji
    Zhang, Fengying
    Chen, Xuezhong
    Zhao, Ming
    Ma, Lingbo
    BIOMED RESEARCH INTERNATIONAL, 2016, 2016
  • [13] Microbial community in persistent apical periodontitis: a 16S rRNA gene clone library analysis
    Zakaria, M. N.
    Takeshita, T.
    Shibata, Y.
    Maeda, H.
    Wada, N.
    Akamine, A.
    Yamashita, Y.
    INTERNATIONAL ENDODONTIC JOURNAL, 2015, 48 (08) : 717 - 728
  • [14] Four new Parasterope (Ostracoda, Myodocopina) from the Northwest Pacific and their phylogeny based on 16S rRNA
    Pham, Huyen T. M.
    Karanovic, Ivana
    ZOOKEYS, 2022, (1095) : 13 - 42
  • [15] Evaluating Bias of Illumina-Based Bacterial 16S rRNA Gene Profiles
    Kennedy, Katherine
    Hall, Michael W.
    Lynch, Michael D. J.
    Moreno-Hagelsieb, Gabriel
    Neufeld, Josh D.
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2014, 80 (18) : 5717 - 5722
  • [16] Influence of DNA extraction on oral microbial profiles obtained via 16S rRNA gene sequencing
    Abusleme, Loreto
    Hong, Bo-Young
    Dupuy, Amanda K.
    Strausbaugh, Linda D.
    Diaz, Patricia I.
    JOURNAL OF ORAL MICROBIOLOGY, 2014, 6
  • [17] Research progress of microbial source tracking based on Bacteroidales 16S rRNA gene
    基于拟杆菌16S rRNA基因进行微生物溯源的研究进展
    Yu, Zhi-Sheng (yuzs@ucas.ac.cn), 2018, Chinese Society for Environmental Sciences (38):
  • [18] Full-length 16S rRNA gene sequencing reveals spatiotemporal dynamics of bacterial community in a heavily polluted estuary, China
    Ming Hongxia
    Fan Jingfeng
    Liu Jiwen
    Su Jie
    Wan Zhiyi
    Wang Yantao
    Li Dongwei
    Li Mengfei
    Shi Tingting
    Jin Yuan
    Huang Huiling
    Song Jixue
    ENVIRONMENTAL POLLUTION, 2021, 275
  • [19] Identification ofGluconobacter strains isolated in Thailand based on 16S–23S rRNA gene ITS restriction and 16S rRNA gene sequence analyses
    Jintana Kommanee
    Ancharida Akaracharanya
    Somboon Tanasupawat
    Taweesak Malimas
    Pattaraporn Yukphan
    Yasuyoshi Nakagawa
    Yuzo Yamada
    Annals of Microbiology, 2008, 58 : 741 - 747
  • [20] Identification ofAcetobacter strains isolated in Thailand based on 16S–23S rRNA gene ITS restriction and 16S rRNA gene sequence analyses
    Jintana Kommanee
    Ancharida Akaracharanya
    Somboon Tanasupawat
    Taweesak Malimas
    Pattaraporn Yukphan
    Yasuyoshi Nakagawa
    Yuzo Yamada
    Annals of Microbiology, 2008, 58 : 319 - 324