Abstract |
Potassium (K(+)) deficiency as a common abiotic stress can inhibit the growth of plants and thus reduce the agricultural yields. Nevertheless, scarcely any development has been promoted in wheat transcriptional changes under K(+) deficiency. Here we investigated root transcriptional changes in two wheat genotypes, namely, low-K(+) tolerant "Tongzhou916" and low-K(+) susceptible "Shiluan02-1". There were totally 2713 and 2485 probe sets displayed expression changes more than 1.5-fold in Tongzhou916 and Shiluan02-1, respectively. Low-K(+) responsive genes mainly belonged to the categories as follows: metabolic process, cation binding, transferase activity, ion transporters and so forth. We made a comparison of gene expression differences between the two wheat genotypes. There were 1321 and 1177 up-regulated genes in Tongzhou916 and Shiluan02-1, respectively. This result indicated that more genes took part in acclimating to low-K(+) stress in Tongzhou916. In addition, there were more genes associated with jasmonic acid, defense response and potassium transporter up-regulated in Tongzhou916. Moreover, totally 19 genes encoding vacuolar H(+)-pyrophosphatase, ethylene-related, auxin response, anatomical structure development and nutrient reservoir were uniquely up-regulated in Tongzhou916. For their important role in root architecture, K(+) uptake and nutrient storage, unique genes above may make a great contribution to the strong low-K(+) tolerance in Tongzhou916.
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Authors | Li Ruan, Jiabao Zhang, Xiuli Xin, Congzhi Zhang, Donghao Ma, Lin Chen, Bingzi Zhao |
Journal | Scientific reports
(Sci Rep)
Vol. 5
Pg. 10090
(May 18 2015)
ISSN: 2045-2322 [Electronic] England |
PMID | 25985414
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Cluster Analysis
- Computational Biology
(methods)
- Gene Expression Profiling
- Gene Expression Regulation, Plant
- Genes, Plant
- Genotype
- Molecular Sequence Annotation
- Potassium
(metabolism)
- Potassium Deficiency
(genetics, metabolism)
- Reproducibility of Results
- Stress, Physiological
- Transcriptome
- Triticum
(genetics, metabolism)
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