Exploring links between pH and bacterial community composition in soils from the Craibstone Experimental Farm

被引:132
作者
Bartram, Andrea K. [1 ]
Jiang, Xingpeng [2 ]
Lynch, Michael D. J. [1 ]
Masella, Andre P. [1 ]
Nicol, Graeme W. [3 ]
Dushoff, Jonathan [2 ]
Neufeld, Josh D. [1 ]
机构
[1] Univ Waterloo, Dept Biol, Waterloo, ON N2L 3G1, Canada
[2] McMaster Univ, Dept Biol, Hamilton, ON, Canada
[3] Univ Aberdeen, Sch Biol Sci, Aberdeen, Scotland
基金
加拿大自然科学与工程研究理事会;
关键词
soil bacteria; pH; microbial diversity; agriculture; 16S rRNA genes; rare biosphere; GEL-ELECTROPHORESIS ANALYSIS; MICROBIAL COMMUNITIES; DIVERSITY; GENERATION; GRADIENT; POPULATIONS; MICROARRAY; SEQUENCES; PRIMERS;
D O I
10.1111/1574-6941.12231
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Soil pH is an important determinant of microbial community composition and diversity, yet few studies have characterized the specific effects of pH on individual bacterial taxa within bacterial communities, both abundant and rare. We collected composite soil samples over 2years from an experimentally maintained pH gradient ranging from 4.5 to 7.5 from the Craibstone Experimental Farm (Craibstone, Scotland). Extracted nucleic acids were characterized by bacterial and group-specific denaturing gradient gel electrophoresis and next-generation sequencing of bacterial 16S rRNA genes. Both methods demonstrated comparable and reproducible shifts within higher taxonomic bacterial groups (e.g. Acidobacteria, Alphaproteobacteria, Verrucomicrobia, and Gammaproteobacteria) across the pH gradient. In addition, we used non-negative matrix factorization (NMF) for the first time on 16S rRNA gene data to identify positively interacting (i.e. co-occurring) operational taxonomic unit (OTU) clusters (i.e. components'), with abundances that correlated strongly with pH, and sample year to a lesser extent. All OTUs identified by NMF were visualized within principle coordinate analyses of unifrac distances and subjected to taxonomic network analysis (SSUnique), which plotted OTU abundance and similarity against established taxonomies. Most pH-dependent OTUs identified here would not have been identified by previous methodologies for microbial community profiling and were unrelated to known lineages.
引用
收藏
页码:403 / 415
页数:13
相关论文
共 37 条
  • [1] Barns SM, 1999, APPL ENVIRON MICROB, V65, P1731
  • [2] Generation of Multimillion-Sequence 16S rRNA Gene Libraries from Complex Microbial Communities by Assembling Paired-End Illumina Reads
    Bartram, Andrea K.
    Lynch, Michael D. J.
    Stearns, Jennifer C.
    Moreno-Hagelsieb, Gabriel
    Neufeld, Josh D.
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2011, 77 (11) : 3846 - 3852
  • [3] QIIME allows analysis of high-throughput community sequencing data
    Caporaso, J. Gregory
    Kuczynski, Justin
    Stombaugh, Jesse
    Bittinger, Kyle
    Bushman, Frederic D.
    Costello, Elizabeth K.
    Fierer, Noah
    Pena, Antonio Gonzalez
    Goodrich, Julia K.
    Gordon, Jeffrey I.
    Huttley, Gavin A.
    Kelley, Scott T.
    Knights, Dan
    Koenig, Jeremy E.
    Ley, Ruth E.
    Lozupone, Catherine A.
    McDonald, Daniel
    Muegge, Brian D.
    Pirrung, Meg
    Reeder, Jens
    Sevinsky, Joel R.
    Tumbaugh, Peter J.
    Walters, William A.
    Widmann, Jeremy
    Yatsunenko, Tanya
    Zaneveld, Jesse
    Knight, Rob
    [J]. NATURE METHODS, 2010, 7 (05) : 335 - 336
  • [4] PyNAST: a flexible tool for aligning sequences to a template alignment
    Caporaso, J. Gregory
    Bittinger, Kyle
    Bushman, Frederic D.
    DeSantis, Todd Z.
    Andersen, Gary L.
    Knight, Rob
    [J]. BIOINFORMATICS, 2010, 26 (02) : 266 - 267
  • [5] Soil bacterial diversity in the Arctic is not fundamentally different from that found in other biomes
    Chu, Haiyan
    Fierer, Noah
    Lauber, Christian L.
    Caporaso, J. G.
    Knight, Rob
    Grogan, Paul
    [J]. ENVIRONMENTAL MICROBIOLOGY, 2010, 12 (11) : 2998 - 3006
  • [6] Comparative Analysis of Pyrosequencing and a Phylogenetic Microarray for Exploring Microbial Community Structures in the Human Distal Intestine
    Claesson, Marcus J.
    O'Sullivan, Orla
    Wang, Qiong
    Nikkilae, Janne
    Marchesi, Julian R.
    Smidt, Hauke
    de Vos, Willem M.
    Ross, R. Paul
    O'Toole, Paul W.
    [J]. PLOS ONE, 2009, 4 (08):
  • [7] Digging deeper to find unique microbial communities: The strong effect of depth on the structure of bacterial and archaeal communities in soil
    Eilers, Kathryn G.
    Debenport, Spencer
    Anderson, Suzanne
    Fierer, Noah
    [J]. SOIL BIOLOGY & BIOCHEMISTRY, 2012, 50 : 58 - 65
  • [8] The diversity and biogeography of soil bacterial communities
    Fierer, N
    Jackson, RB
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (03) : 626 - 631
  • [9] Computational improvements reveal great bacterial diversity and high metal toxicity in soil
    Gans, J
    Wolinsky, M
    Dunbar, J
    [J]. SCIENCE, 2005, 309 (5739) : 1387 - 1390
  • [10] THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
    GOOD, IJ
    [J]. BIOMETRIKA, 1953, 40 (3-4) : 237 - 264