Genome-wide association mapping of salinity tolerance in rice (Oryza sativa).
Genome-wide association mapping of salinity tolerance in rice (Oryza sativa).
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DOI:
10.1093/dnares/dsu046
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发表时间:
2015-04
期刊:
影响因子:
--
通讯作者:
Mohapatra T
中科院分区:
文献类型:
--
作者:
Kumar V;Singh A;Mithra SV;Krishnamurthy SL;Parida SK;Jain S;Tiwari KK;Kumar P;Rao AR;Sharma SK;Khurana JP;Singh NK;Mohapatra T
Salinity tolerance in rice is highly desirable to sustain production in areas rendered saline due to various reasons. It is a complex quantitative trait having different components, which can be dissected effectively by genome-wide association study (GWAS). Here, we implemented GWAS to identify loci controlling salinity tolerance in rice. A custom-designed array based on 6,000 single nucleotide polymorphisms (SNPs) in as many stress-responsive genes, distributed at an average physical interval of <100 kb on 12 rice chromosomes, was used to genotype 220 rice accessions using Infinium high-throughput assay. Genetic association was analysed with 12 different traits recorded on these accessions under field conditions at reproductive stage. We identified 20 SNPs (loci) significantly associated with Na+/K+ ratio, and 44 SNPs with other traits observed under stress condition. The loci identified for various salinity indices through GWAS explained 5–18% of the phenotypic variance. The region harbouring Saltol, a major quantitative trait loci (QTLs) on chromosome 1 in rice, which is known to control salinity tolerance at seedling stage, was detected as a major association with Na+/K+ ratio measured at reproductive stage in our study. In addition to Saltol, we also found GWAS peaks representing new QTLs on chromosomes 4, 6 and 7. The current association mapping panel contained mostly indica accessions that can serve as source of novel salt tolerance genes and alleles. The gene-based SNP array used in this study was found cost-effective and efficient in unveiling genomic regions/candidate genes regulating salinity stress tolerance in rice.
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DOI:
10.1101/sqb.2003.68.69
发表时间:
2003-01-01
期刊:
COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY
影响因子:
--
作者:
Fan, JB;Oliphant, A;Chee, MS
通讯作者:
Chee, MS
影响因子:
5.8
作者:
Bradbury, Peter J.;Zhang, Zhiwu;Buckler, Edward S.
通讯作者:
Buckler, Edward S.
影响因子:
5.4
作者:
Cai, HW;Morishima, H
通讯作者:
Morishima, H
影响因子:
4.5
作者:
Aranzana MJ;Kim S;Zhao K;Bakker E;Horton M;Jakob K;Lister C;Molitor J;Shindo C;Tang C;Toomajian C;Traw B;Zheng H;Bergelson J;Dean C;Marjoram P;Nordborg M
通讯作者:
Nordborg M
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y