Literature DB >> 21265774

Denitrification regulatory phenotype, a new term for the characterization of denitrifying bacteria.

Linda Bergaust1, Lars R Bakken, Asa Frostegård.   

Abstract

Current knowledge of denitrification is based on detailed studies of a limited number of organisms. In most cases the importance of these paradigm species in natural ecosystems is questionable. Detailed phenotypic studies of a wider range of prokaryotes, both type strains and dominant denitrifiers isolated from complex systems, will aid the generation of more sophisticated mathematical models for the prediction of NO and N2O emission to the environment. However, in order to facilitate the comparison of a vast range of prokaryotes, phenotypic experiments and functional characteristics included should be standardized. In the present paper, we discuss the term DRP (denitrification regulatory phenotype) for describing a set of phenotypic traits and experimental conditions for the characterization of denitrifying organisms. This is exemplified by the contrasting DRP characteristics of the two well-studied denitrifiers Paracoccus denitrificans and Agrobacterium tumefaciens.

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Year:  2011        PMID: 21265774     DOI: 10.1042/BST0390207

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  13 in total

1.  Phenotypic and genotypic richness of denitrifiers revealed by a novel isolation strategy.

Authors:  Pawel Lycus; Kari Lovise Bøthun; Linda Bergaust; James Peele Shapleigh; Lars Reier Bakken; Åsa Frostegård
Journal:  ISME J       Date:  2017-07-11       Impact factor: 10.302

2.  Regulation of denitrification at the cellular level: a clue to the understanding of N2O emissions from soils.

Authors:  Lars R Bakken; Linda Bergaust; Binbin Liu; Asa Frostegård
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-05-05       Impact factor: 6.237

3.  Microbial community functional structures in wastewater treatment plants as characterized by GeoChip.

Authors:  Xiaohui Wang; Yu Xia; Xianghua Wen; Yunfeng Yang; Jizhong Zhou
Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

4.  Low probability of initiating nirS transcription explains observed gas kinetics and growth of bacteria switching from aerobic respiration to denitrification.

Authors:  Junaid Hassan; Linda L Bergaust; I David Wheat; Lars R Bakken
Journal:  PLoS Comput Biol       Date:  2014-11-06       Impact factor: 4.475

5.  Nitric oxide and nitrous oxide turnover in natural and engineered microbial communities: biological pathways, chemical reactions, and novel technologies.

Authors:  Frank Schreiber; Pascal Wunderlin; Kai M Udert; George F Wells
Journal:  Front Microbiol       Date:  2012-10-23       Impact factor: 5.640

6.  Draft genome sequences of five strains in the genus thauera.

Authors:  Binbin Liu; Asa Frostegård; James P Shapleigh
Journal:  Genome Announc       Date:  2013-01-31

7.  Soil nitrate reducing processes - drivers, mechanisms for spatial variation, and significance for nitrous oxide production.

Authors:  Madeline Giles; Nicholas Morley; Elizabeth M Baggs; Tim J Daniell
Journal:  Front Microbiol       Date:  2012-12-18       Impact factor: 5.640

8.  Specific microbial gene abundances and soil parameters contribute to C, N, and greenhouse gas process rates after land use change in Southern Amazonian Soils.

Authors:  Daniel R Lammel; Brigitte J Feigl; Carlos C Cerri; Klaus Nüsslein
Journal:  Front Microbiol       Date:  2015-10-06       Impact factor: 5.640

9.  Excessive use of nitrogen in Chinese agriculture results in high N(2) O/(N(2) O+N(2) ) product ratio of denitrification, primarily due to acidification of the soils.

Authors:  Zhi Qu; Jingguo Wang; Trygve Almøy; Lars R Bakken
Journal:  Glob Chang Biol       Date:  2014-04-08       Impact factor: 10.863

10.  Transient Accumulation of NO2- and N2O during Denitrification Explained by Assuming Cell Diversification by Stochastic Transcription of Denitrification Genes.

Authors:  Junaid Hassan; Zhi Qu; Linda L Bergaust; Lars R Bakken
Journal:  PLoS Comput Biol       Date:  2016-01-05       Impact factor: 4.475

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