Wade, L J and Bartolome, V and Mauleon, R and Vasant, V D and Prabakar, S M and Chelliah, M and Kameoka, E and Nagendra, K and Kamalnath Reddy, K R and Varma, C M K and Patil, K G and Shrestha, R and Al-Shugeairy, Z and Al-Ogaidi, F and Munasinghe, M and Gowda, V and Semon, M and Suralta, R R and Shenoy, V and Vadez, V and Serraj, R and Shashidhar, H E and Yamauchi, A and Chandra Babu, R and Price, A and McNally, K L and Henry, A (2015) Environmental Response and Genomic Regions Correlated with Rice Root Growth and Yield under Drought in the OryzaSNP Panel across Multiple Study Systems. PLOS One. pp. 1-25. ISSN 1932-6203
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Abstract
The rapid progress in rice genotyping must be matched by advances in phenotyping. A better understanding of genetic variation in rice for drought response, root traits, and practical methods for studying them are needed. In this study, the OryzaSNP set (20 diverse genotypes that have been genotyped for SNP markers) was phenotyped in a range of field and container studies to study the diversity of rice root growth and response to drought. Of the root traits measured across more than 20 root experiments, root dry weight showed the most stable genotypic performance across studies. The environment (E) component had the strongest effect on yield and root traits. We identified genomic regions correlated with root dry weight, percent deep roots, maximum root depth, and grain yield based on a correlation analysis with the phenotypes and aus, indica, or japonica introgression regions using the SNP data. Two genomic regions were identified as hot spots in which root traits and grain yield were co-located; on chromosome 1 (39.7–40.7 Mb) and on chromosome 8 (20.3–21.9 Mb). Across experiments, the soil type/ growth medium showed more correlations with plant growth than the container dimensions. Although the correlations among studies and genetic co-location of root traits from a range of study systems points to their potential utility to represent responses in field studies, the best correlations were observed when the two setups had some similar properties. Due to the co-location of the identified genomic regions (from introgression block analysis) with QTL for a number of previously reported root and drought traits, these regions are good candidates for detailed characterization to contribute to understanding rice improvement for response to drought. This study also highlights the utility of characterizing a small set of 20 genotypes for root growth, drought response, and related genomic regions.
| Item Type: | Article |
|---|---|
| Divisions: | RP-Dryland Cereals |
| CRP: | CGIAR Research Program on Dryland Cereals |
| Uncontrolled Keywords: | Introgression, Rice, Root growth, Genomics, Rhizotrons, Cellular stress responses, Quantitative trait loci, Plant genomics |
| Subjects: | Others > Genetics and Genomics |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 04 May 2015 09:21 |
| Last Modified: | 06 Aug 2015 08:26 |
| URI: | http://oar.icrisat.org/id/eprint/8696 |
| Official URL: | http://dx.doi.org/10.1371/journal.pone.0124127 |
| Projects: | UNSPECIFIED |
| Funders: | This research was funded by the Generation Challenge Program (GCP) project G3008.06, “Targeting Drought-Avoidance Root Traits to Enhance Rice Productivity under Water-Limited Environments". |
| Acknowledgement: | UNSPECIFIED |
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