Title |
Linking stomatal traits and expression of slow anion channel genes HvSLAH1 and HvSLAC1 with grain yield for increasing salinity tolerance in barley
|
---|---|
Published in |
Frontiers in Plant Science, November 2014
|
DOI | 10.3389/fpls.2014.00634 |
Pubmed ID | |
Authors |
Xiaohui Liu, Michelle Mak, Mohammad Babla, Feifei Wang, Guang Chen, Filip Veljanoski, Gang Wang, Sergey Shabala, Meixue Zhou, Zhong-Hua Chen |
Abstract |
Soil salinity is an environmental and agricultural problem in many parts of the world. One of the keys to breeding barley for adaptation to salinity lies in a better understanding of the genetic control of stomatal regulation. We have employed a range of physiological (stomata assay, gas exchange, phylogenetic analysis, QTL analysis), and molecular techniques (RT-PCR and qPCR) to investigate stomatal behavior and genotypic variation in barley cultivars and a genetic population in four experimental trials. A set of relatively efficient and reliable methods were developed for the characterization of stomatal behavior of a large number of varieties and genetic lines. Furthermore, we found a large genetic variation of gas exchange and stomatal traits in barley in response to salinity stress. Salt-tolerant cultivar CM72 showed significantly larger stomatal aperture under 200 mM NaCl treatment than that of salt-sensitive cultivar Gairdner. Stomatal traits such as aperture width/length were found to significantly correlate with grain yield under salt treatment. Phenotypic characterization and QTL analysis of a segregating double haploid population of the CM72/Gairdner resulted in the identification of significant stomatal traits-related QTLs for salt tolerance. Moreover, expression analysis of the slow anion channel genes HvSLAH1 and HvSLAC1 demonstrated that their up-regulation is linked to higher barley grain yield in the field. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 24% |
Researcher | 8 | 15% |
Student > Master | 7 | 13% |
Student > Doctoral Student | 6 | 11% |
Student > Bachelor | 5 | 9% |
Other | 9 | 16% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 62% |
Biochemistry, Genetics and Molecular Biology | 5 | 9% |
Medicine and Dentistry | 2 | 4% |
Unspecified | 1 | 2% |
Mathematics | 1 | 2% |
Other | 3 | 5% |
Unknown | 9 | 16% |