TY  - JOUR
AV  - public
UR  - http://dx.doi.org/10.1038/srep15296
IS  - 15296
PB  - Nature Publishing Group
TI  - Prioritization of candidate genes in ?QTL-hotspot? region for drought tolerance in chickpea (Cicer arietinum L.)
A1  - Kale, S M
A1  - Jaganathan, D
A1  - Ruperao, P
A1  - Chen, C
A1  - Punna, R
A1  - Kudapa, H
A1  - Thudi, M
A1  - Roorkiwal, M
A1  - Katta, M A V S K
A1  - Doddamani, D
A1  - Garg, V
A1  - Kavi Kishor, P B
A1  - Gaur, P M
A1  - Nguyen, H T
A1  - Batley, J
A1  - Edwards, D
A1  - Sutton, T
A1  - Varshney, R K
N1  - The authors are thankful to Dr. Xinpeng Qi and Dr. Hon-Ming Lam for providing scripts to generate a bin map image. Technical assistance from Jaipal Gaud is greatly appreciated. The work has been undertaken as a part of Australia?India strategic research fund (AISRF) project funded by Department of Science and Technology (DST) and Tropical Legumes I (TLI) project funded by Bill and Melinda Gates Foundation (BMGF) through CGIAR-Generation Challenge Program (GCP; http://www.generationcp.org/). This work has been carried out as part of the CGIAR Research Program on Grain Legumes. ICRISAT is a member of the CGIAR Consortium.
SN  - 2045-2322
N2  - A combination of two approaches, namely QTL analysis and gene enrichment analysis were used to identify candidate genes in the ?QTL-hotspot? region for drought tolerance present on the Ca4 pseudomolecule in chickpea. In the first approach, a high-density bin map was developed using 53,223 single nucleotide polymorphisms (SNPs) identified in the recombinant inbred line (RIL) population of ICC 4958 (drought tolerant) and ICC 1882 (drought sensitive) cross. QTL analysis using recombination bins as markers along with the phenotyping data for 17 drought tolerance related traits obtained over 1?5 seasons and 1?5 locations split the ?QTL-hotspot? region into two subregions namely ?QTL-hotspot_a? (15 genes) and ?QTL-hotspot_b? (11 genes). In the second approach, gene enrichment analysis using significant marker trait associations based on SNPs from the Ca4 pseudomolecule with the above mentioned phenotyping data, and the candidate genes from the refined ?QTL-hotspot? region showed enrichment for 23 genes. Twelve genes were found common in both approaches. Functional validation using quantitative real-time PCR (qRT-PCR) indicated four promising candidate genes having functional implications on the effect of ?QTL-hotspot? for drought tolerance in chickpea.
SP  - 01
Y1  - 2015/10/19/
EP  - 14
ID  - icrisat9136
KW  - Chickpea
KW  -  Drought tolerance
KW  -  QTL Study
KW  -  Genomics
KW  -  QTL analysis
JF  - Scientific Reports
ER  -