Structure and function of denitrifying bacterial assemblages in low-order Indiana streams

被引:30
作者
Baxter, Alyssa M. [1 ]
Johnson, Laura [2 ]
Edgerton, Jael [1 ]
Royer, Todd [2 ]
Leff, Laura G. [1 ]
机构
[1] Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA
[2] Indiana Univ, Sch Publ & Environm Affairs, Bloomington, IN 47405 USA
基金
美国国家科学基金会;
关键词
denitrification; microbial community; stream; agriculture; nosZ; MICROBIAL COMMUNITY STRUCTURE; NITROUS-OXIDE REDUCTASE; 16S RIBOSOMAL-RNA; HEADWATER STREAMS; LAND-USE; TEMPORAL VARIABILITY; AGRICULTURAL SOIL; NITRATE REMOVAL; NORTHEAST OHIO; FRESH-WATER;
D O I
10.1899/11-066.1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Anthropogenic activities increase rates of N input to the environment, and loss of this N is controlled by several factors, including denitrification. Streams are the initial receptors of terrestrial N, but the extent to which variability in stream denitrification rates are related to differences in microbial community structure are largely unexplored. In our study, the rate of denitrification and taxonomic and functional gene diversity and abundance were examined in 3 Indiana (USA) streams with differing amounts of watershed agriculture. Taxonomic and functional gene diversity were measured using terminal restriction length polymorphisms of the 16S ribosomal ribonucleic acid (rRNA) and nitrous oxide reductase (nosZ) genes, and abundance was examined using quantitative polymerase chain reaction (Q-PCR) and total direct cell counts. As expected, streams with highest amounts of watershed agriculture had highest NO3- concentrations and highest sediment organic matter (OM) content leading to higher denitrification rates. Overall, denitrification rates were controlled primarily by sediment OM content and secondarily by nosZ abundance and nosZ terminal restriction fragment (T-RF) number. However, total bacterial numbers were not related to peaks in denitrification rate. The 2 sites with the most substantial differences in watershed agriculture, NO3- concentrations, and sediment OM content also had the largest differences in both nosZ abundance and nosZ gene profiles. Overall, our results suggest that denitrification rates in agricultural streams are influenced by a combination of environmental variables (primarily benthic OM and NO3- concentrations) and microbial community composition.
引用
收藏
页码:304 / 317
页数:14
相关论文
共 64 条
[1]   PCR-induced sequence artifacts and bias: Insights from comparison of two 16S rRNA clone libraries constructed from the same sample [J].
Acinas, SG ;
Sarma-Rupavtarm, R ;
Klepac-Ceraj, V ;
Polz, MF .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2005, 71 (12) :8966-8969
[2]   Differences in phosphorus and nitrogen delivery to the gulf of Mexico from the Mississippi river basin [J].
Alexander, Richard B. ;
Smith, Richard A. ;
Schwarz, Gregory E. ;
Boyer, Elizabeth W. ;
Nolan, Jacqueline V. ;
Brakebill, John W. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (03) :822-830
[3]  
[Anonymous], SOIL BIOL BIOCH
[4]  
[Anonymous], 2001, STANDARD METHODS EXA
[5]   Land use influences the spatiotemporal controls on nitrification and denitrification in headwater streams [J].
Arango, C. P. ;
Tank, J. L. .
JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY, 2008, 27 (01) :90-107
[6]   Benthic organic carbon influences denitrification in streams with high nitrate concentration [J].
Arango, Clay P. ;
Tank, Jennifer L. ;
Schaller, Jamie L. ;
Royer, Todd V. ;
Bernot, Melody J. ;
David, Mark B. .
FRESHWATER BIOLOGY, 2007, 52 (07) :1210-1222
[7]   Effect of soil ammonium concentration on N2O release and on the community structure of ammonia oxidizers and denitrifiers [J].
Avrahami, S ;
Conrad, R ;
Braker, G .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2002, 68 (11) :5685-5692
[8]  
Baker N.T., 2006, 20065251 US GEOL SUR
[9]   The Effects of Season and Agriculture on Nitrous Oxide Production in Headwater Streams [J].
Beaulieu, J. J. ;
Arango, C. P. ;
Tank, J. L. .
JOURNAL OF ENVIRONMENTAL QUALITY, 2009, 38 (02) :637-646
[10]   Terminal restriction fragment length polymorphism data analysis for quantitative comparison of microbial communities [J].
Blackwood, CB ;
Marsh, T ;
Kim, SH ;
Paul, EA .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2003, 69 (02) :926-932