Seasonal dynamics of the bacterioplankton community in a large, shallow, highly dynamic freshwater lake

被引:13
作者
Kong, Zhaoyu [1 ,2 ]
Kou, Wenbo [1 ]
Ma, Yantian [1 ]
Yu, Haotian [1 ]
Ge, Gang [1 ]
Wu, Lan [1 ,2 ]
机构
[1] Nanchang Univ, Sch Life Sci, Minist Educ, Key Lab Poyang Lake Environm & Resource Utilizat, Nanchang 330031, Jiangxi, Peoples R China
[2] Nanchang Univ, Key Lab Aquat Resources & Utilizat Jiangxi, Nanchang 330022, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
bacterial community composition; bacterial diversity; water level; 16S rRNA gene; Poyang Lake; BACTERIAL COMMUNITY; YANGTZE-RIVER; WITHIN-LAKE; ENVIRONMENTAL GRADIENTS; SPATIAL-DISTRIBUTION; POYANG LAKE; DIVERSITY; PATTERNS; BETAPROTEOBACTERIA; HETEROGENEITY;
D O I
10.1139/cjm-2018-0126
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The spatiotemporal shifts of the bacterioplankton community can mirror their transition of functional traits in an aquatic ecosystem. However, the spatiotemporal variation of the bacterioplankton community composition structure (BCCS) within a large, shallow, highly dynamic freshwater lake is still poorly understood. Here, we examined the seasonal and spatial variability of the BCCs within Poyang Lake by sequencing the 16S rRNA gene amplicon to explore how hydrological changes affect the BCCs. Principal coordinate analysis showed that the BCCs varied significantly among four sampling seasons, but not spatially. The seasonal changes of the BCCs were mainly attributed to the differences between autumn and spring-winter. Higher alpha diversity indices were observed in autumn. Redundancy analysis indicated that the BCCs co-variated with water level, pH, temperature, total phosphorus, ammoniacal nitrogen, electrical conductivity, total nitrogen, and turbidity. Among them, water level was the key determinant separating autumn BCCs from the BCCs in other seasons. A significantly lower relative abundance of Burkholderiales (betI and betVII) and a higher relative abundance of Actinomycetales (acI, acTH1, and acTH2) were found in autumn than in other seasons. Overall, our results suggest that water level changes associated with pH, temperature, and nutrient status shaped the seasonal patterns of the BCCs within Poyang Lake.
引用
收藏
页码:786 / 797
页数:12
相关论文
共 70 条
[1]   Coupling of heterotrophic bacteria to phytoplankton bloom development at different pCO2 levels: a mesocosm study [J].
Allgaier, M. ;
Riebesell, U. ;
Vogt, M. ;
Thyrhaug, R. ;
Grossart, H. -P. .
BIOGEOSCIENCES, 2008, 5 (04) :1007-1022
[2]   Pyrosequencing reveals contrasting seasonal dynamics of taxa within Baltic Sea bacterioplankton communities [J].
Andersson, Anders F. ;
Riemann, Lasse ;
Bertilsson, Stefan .
ISME JOURNAL, 2010, 4 (02) :171-181
[3]  
Barzen JA, 2009, J JPN STAT SOC, V38, P293
[4]   Ice cover extent drives phytoplankton and bacterial community structure in a large north-temperate lake: implications for a warming climate [J].
Beall, B. F. N. ;
Twiss, M. R. ;
Smith, D. E. ;
Oyserman, B. O. ;
Rozmarynowycz, M. J. ;
Binding, C. E. ;
Bourbonniere, R. A. ;
Bullerjahn, G. S. ;
Palmer, M. E. ;
Reavie, E. D. ;
Waters, L. C. D. R. M. K. ;
Woityra, L. C. D. R. W. C. ;
Mckay, R. M. L. .
ENVIRONMENTAL MICROBIOLOGY, 2016, 18 (06) :1704-1719
[5]   Pyrosequencing of the 16S rRNA gene to reveal bacterial pathogen diversity in biosolids [J].
Bibby, Kyle ;
Viau, Emily ;
Peccia, Jordan .
WATER RESEARCH, 2010, 44 (14) :4252-4260
[6]   Marine Bacterioplankton Seasonal Succession Dynamics [J].
Bunse, Carina ;
Pinhassi, Jarone .
TRENDS IN MICROBIOLOGY, 2017, 25 (06) :494-505
[7]   Bacterioplankton community responses to key environmental variables in plateau freshwater lake ecosystems: A structural equation modeling and change point analysis [J].
Cao, Xiaofeng ;
Wang, Jie ;
Liao, Jingqiu ;
Gao, Zhe ;
Jiang, Dalin ;
Sun, Jinhua ;
Zhao, Lei ;
Huang, Yi ;
Luan, Shengji .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 :457-467
[8]   Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample [J].
Caporaso, J. Gregory ;
Lauber, Christian L. ;
Walters, William A. ;
Berg-Lyons, Donna ;
Lozupone, Catherine A. ;
Turnbaugh, Peter J. ;
Fierer, Noah ;
Knight, Rob .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 :4516-4522
[9]   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
[10]   State of the World's Freshwater Ecosystems: Physical, Chemical, and Biological Changes [J].
Carpenter, Stephen R. ;
Stanley, Emily H. ;
Vander Zanden, M. Jake .
ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, VOL 36, 2011, 36 :75-99