Literature DB >> 17205893

Environmental controls on denitrifying communities and denitrification rates: insights from molecular methods.

Matthew D Wallenstein1, David D Myrold, Mary Firestone, Mary Voytek.   

Abstract

The advent of molecular techniques has improved our understanding of the microbial communities responsible for denitrification and is beginning to address their role in controlling denitrification processes. There is a large diversity of bacteria, archaea, and fungi capable of denitrification, and their community composition is structured by long-term environmental drivers. The range of temperature and moisture conditions, substrate availability, competition, and disturbances have long-lasting legacies on denitrifier community structure. These communities may differ in physiology, environmental tolerances to pH and O2, growth rate, and enzyme kinetics. Although factors such as O2, pH, C availability, and NO3- pools affect instantaneous rates, these drivers act through the biotic community. This review summarizes the results of molecular investigations of denitrifier communities in natural environments and provides a framework for developing future research for addressing connections between denitrifier community structure and function.

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Year:  2006        PMID: 17205893     DOI: 10.1890/1051-0761(2006)016[2143:ecodca]2.0.co;2

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  64 in total

1.  Microbial community structure and denitrification in a wetland mitigation bank.

Authors:  Ariane L Peralta; Jeffrey W Matthews; Angela D Kent
Journal:  Appl Environ Microbiol       Date:  2010-05-07       Impact factor: 4.792

2.  The abundance of microbial functional genes in grassy woodlands is influenced more by soil nutrient enrichment than by recent weed invasion or livestock exclusion.

Authors:  Elizabeth A Lindsay; Matthew J Colloff; Nerida L Gibb; Steven A Wakelin
Journal:  Appl Environ Microbiol       Date:  2010-07-02       Impact factor: 4.792

3.  Correlations between in situ denitrification activity and nir-gene abundances in pristine and impacted prairie streams.

Authors:  David W Graham; Clare Trippett; Walter K Dodds; Jonathan M O'Brien; Eric B K Banner; Ian M Head; Marilyn S Smith; Richard K Yang; Charles W Knapp
Journal:  Environ Pollut       Date:  2010-08-17       Impact factor: 8.071

4.  Diversity and distribution of sediment nirS-encoding bacterial assemblages in response to environmental gradients in the eutrophied Jiaozhou Bay, China.

Authors:  Hongyue Dang; Chunyan Wang; Jing Li; Tiegang Li; Fang Tian; Wei Jin; Yongsheng Ding; Zhinan Zhang
Journal:  Microb Ecol       Date:  2008-11-19       Impact factor: 4.552

5.  Watershed-scale fungal community characterization along a pH gradient in a subsurface environment cocontaminated with uranium and nitrate.

Authors:  Puja Jasrotia; Stefan J Green; Andy Canion; Will A Overholt; Om Prakash; Denis Wafula; Daniela Hubbard; David B Watson; Christopher W Schadt; Scott C Brooks; Joel E Kostka
Journal:  Appl Environ Microbiol       Date:  2014-01-03       Impact factor: 4.792

6.  Composition and variation of sediment bacterial and nirS-harboring bacterial communities at representative sites of the Bohai Gulf coastal zone, China.

Authors:  Xiangyu Guan; Lingling Zhu; Youxun Li; Yuxuan Xie; Mingzhang Zhao; Ximing Luo
Journal:  World J Microbiol Biotechnol       Date:  2013-11-09       Impact factor: 3.312

7.  Differentiated response of denitrifying communities to fertilization regime in paddy soil.

Authors:  Zhe Chen; Jinbo Liu; Minna Wu; Xiaoli Xie; Jinshui Wu; Wenxue Wei
Journal:  Microb Ecol       Date:  2011-08-03       Impact factor: 4.552

8.  Denitrification rates in estuarine sediments of Ashtamudi, Kerala, India.

Authors:  Junaid Hassan Salahudeen; R R Reshmi; K Anoop Krishnan; M S Ragi; Salom Gnana Thanga Vincent
Journal:  Environ Monit Assess       Date:  2018-05-03       Impact factor: 2.513

9.  Effects of genotypic diversity of Phragmites australis on primary productivity and water quality in an experimental wetland.

Authors:  Hiroshi Tomimatsu; Kazunori Nakano; Nozomi Yamamoto; Yoshihisa Suyama
Journal:  Oecologia       Date:  2014-02-13       Impact factor: 3.225

10.  Refined NrfA phylogeny improves PCR-based nrfA gene detection.

Authors:  Allana Welsh; Joanne C Chee-Sanford; Lynn M Connor; Frank E Löffler; Robert A Sanford
Journal:  Appl Environ Microbiol       Date:  2014-01-24       Impact factor: 4.792

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