Effect of Ageratina adenophora invasion on the composition and diversity of soil microbiome

被引:17
作者
Kong, Yunhong [1 ]
Kong, James [2 ]
Wang, Dingkang [1 ]
Huang, Heping [3 ]
Geng, Kaiyou [3 ]
Wang, Yonxia [4 ]
Xia, Yun [3 ]
机构
[1] Kunming Univ, Key Lab Special Biol Resource Dev & Utilizat Univ, Kunming, Peoples R China
[2] Waterloo Univ, Dept Comp Sci, Waterloo, ON, Canada
[3] Kunming Univ, Sch Agr, Kunming, Peoples R China
[4] Yunnan Univ, Inst Microbiol, Kunming, Peoples R China
基金
中国国家自然科学基金;
关键词
Ageratina adenophora; high throughput sequencing; undersurface soil microbiome; weed invasion; 16S RIBOSOMAL-RNA; COMPLEX; GENES;
D O I
10.2323/jgam.2016.08.002
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In the present study, high throughput 16S rRNA gene sequencing was used to investigate soil invaded by the aggressive weed Ageratina adenophora to determine its effect on the species composition, distribution, and biodiversity of the bacterial communities. Soil samples from 12 micro-sites containing a monoculture of A. adenophora plants, mixtures of A. adenophora and different native plant species, and native species alone were studied. We found that the invasion of this weed resulted in a selection of bacteria belonging to phyla Acidobacteria and Verrucomicrobia and the lack of bacteria belonging to phyla Actinobacteria and Planctomycetes, but did not affect significantly the percentage abundances of members of other phyla. A similar bacterial population selection was also observed at genus or subgroup levels. The NO3--N level was an important factor affecting soil bacterial communities and contributed to the dominance of A. adenophora. However, the numbers of total bacterial species, and the diversity and structure of soil bacterial microbiome did not ( P > 0.05) change significantly following invasion by this weed.
引用
收藏
页码:114 / 121
页数:8
相关论文
共 37 条
[1]  
Bajpai D., 2013, AOB PLANTS, P1
[2]   Metagenomic signatures of the Peru Margin subseafloor biosphere show a genetically distinct environment [J].
Biddle, Jennifer F. ;
Fitz-Gibbon, Sorel ;
Schuster, Stephan C. ;
Brenchley, Jean E. ;
House, Christopher H. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (30) :10583-10588
[3]   QIIME allows analysis of high-throughput community sequencing data [J].
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 .
NATURE METHODS, 2010, 7 (05) :335-336
[4]   Ribosomal Database Project: data and tools for high throughput rRNA analysis [J].
Cole, James R. ;
Wang, Qiong ;
Fish, Jordan A. ;
Chai, Benli ;
McGarrell, Donna M. ;
Sun, Yanni ;
Brown, C. Titus ;
Porras-Alfaro, Andrea ;
Kuske, Cheryl R. ;
Tiedje, James M. .
NUCLEIC ACIDS RESEARCH, 2014, 42 (D1) :D633-D642
[5]   The Rhizosphere Selects for Particular Groups of Acidobacteria and Verrucomicrobia [J].
da Rocha, Ulisses Nunes ;
Plugge, Caroline M. ;
George, Isabelle ;
van Elsas, Jan Dirk ;
van Overbeek, Leonard Simon .
PLOS ONE, 2013, 8 (12)
[6]   Open source clustering software [J].
de Hoon, MJL ;
Imoto, S ;
Nolan, J ;
Miyano, S .
BIOINFORMATICS, 2004, 20 (09) :1453-1454
[7]  
Fierer N., 2015, 2015 FALL M 18 DEC
[8]   Methods for assessing the composition and diversity of soil microbial communities [J].
Hill, GT ;
Mitkowski, NA ;
Aldrich-Wolfe, L ;
Emele, LR ;
Jurkonie, DD ;
Ficke, A ;
Maldonado-Ramirez, S ;
Lynch, ST ;
Nelson, EB .
APPLIED SOIL ECOLOGY, 2000, 15 (01) :25-36
[9]   Culture-independent molecular techniques for soil microbial ecology [J].
Hirsch, Penny R. ;
Mauchline, Tim H. ;
Clark, Ian M. .
SOIL BIOLOGY & BIOCHEMISTRY, 2010, 42 (06) :878-887
[10]   Integrative analysis of environmental sequences using MEGAN4 [J].
Huson, Daniel H. ;
Mitra, Suparna ;
Ruscheweyh, Hans-Joachim ;
Weber, Nico ;
Schuster, Stephan C. .
GENOME RESEARCH, 2011, 21 (09) :1552-1560