Identification of genetic variation for salt tolerance in Brassica napus using genome-wide association mapping.

Soil salinity negatively impacts rapeseed (Brassica napus) crop production. In particular, high soil salinity is known to hinder seedling growth and establishment. Identifying natural genetic variation for high salt tolerance in Brassica napus seedlings is an effective way to breed for improved productivity under salt stress. To identify genetic variants involved in differential response to salt stress, we evaluated a diverse association panel of 228 Brasica napus accessions for four seedling traits under salt stress to establish stress susceptibility index (SSI) and stress tolerance index (STI) values, and performed genome-wide association studies (GWAS) using 201,817 high-quality single nucleotide polymorphic (SNP) markers. Our GWAS identified 142 significant SNP markers strongly associated with salt tolerance distributed across all rapeseed chromosomes, with 78 SNPs in the C genome and 64 SNPs in the A genome, and our analyses subsequently pinpointed both favorable alleles and elite cultivars. We identified 117 possible candidate genes associated with these SNPs: 95/117 were orthologous with Arabidopsis thaliana genes encoding transcription factors, aquaporins, and binding proteins. The expression level of ten candidate genes was validated by quantitative real-time PCR (qRT-PCR), and these genes were found to be differentially expressed between salt-tolerant and salt-susceptible lines under salt stress conditions. Our results provide new genetic resources and information for improving salt tolerance in rapeseed genotypes at the seed germination and seedling stages via genomic or marker-assisted selection, and for future functional characterization of putative gene candidates.

Genetic mapping and identification of new major loci for tolerance to low phosphorus stress in rice.

Phosphorus (P) is one of the essential macronutrients for rice. In this study, we used 120 rice backcross recombinant inbred lines (BRILs) derived from a cross indica cv. Changhui 891 and japonica cv. 02428. To elucidate the genetic control of P deficiency tolerance in rice, we have used high quality SNPs bin markers to identify some important loci underlying phosphorus deficiency. The bin map was generated which includes 3057 bins covering distance of 1266.5 cM with an average of 0.41 cM between markers. Based on this map, 50 loci, including four novel loci, qSL-3, qRL-11, qSDW-1, qRDW-1 with phenotypic variance 23.26%, 12.06%, 9.89% associated with P deficiency-related seedling traits were identified. No significant QTLs was found for root length under P+, shoot fresh weight P- and root length, shoot fresh weight for P+, P- and their ratio respectively. Root fresh weight, and root dry weight were strongly correlated to each other, and QTLs for these variables were located on the same chromosome 1 at the same region. Notably, 3 pleiotropic regions is the pioneer of our study, and these regions would facilitate map-based cloning to expedite the MAS selection for developing low phosphorous tolerant varieties. This study not only improves our knowledge about molecular processes associated with P deficiency, but also provides useful information to understand the genetic architecture of low phosphorous tolerance.

Differentially evolved drought stress indices determine the genetic variation of Brassica napus at seedling traits by genome-wide association mapping.

Drought seriously curtails growth, physiology and productivity in rapeseed (Brassica napus). Although drought tolerance is a complex trait, efficient phenotyping and genotyping has led to the identification of novel marker-trait associations underlying drought tolerance. A diverse panel of 228 Brassica accessions was phenotyped under normal (without stress) and water-stress conditions, simulated by polyethylene glycol (PEG-6000) (15% PEG stress) at the seedling stage; stress tolerance index (STI) and stress susceptibility index (SSI) values were acquired. Genome-wide association studies (GWAS) using 201 817 high quality SNPs identified 314 marker-trait associations strongly linked with drought indices and distributed across all nineteen chromosomes in both the A and C genomes. None of these quantitative trait loci (QTL) had been previously identified by other studies. We identified 85 genes underlying these QTL (most within 100 kb of associated SNPs) which were orthologous to Arabidopsis genes known to be associated with drought tolerance. Our study provides a novel resource for breeding drought-tolerant Brassica crops.