Qinmei Gao, Hongyan Wang, Xiaolin Yin, Feng Wang, Shuchang Hu, Weihao Liu, Liangbi Chen, Xiaojun Dai, Manzhong Liang

Genes (Basel); 2023 Feb 10; 14(2):458. doi: 10.3390/genes14020458.

Abstract

Salt stress seriously affects plant growth and development and reduces the yield of rice. Therefore, the development of salt-tolerant high-yielding rice cultivars through quantitative trait locus (QTL) identification and bulked segregant analysis (BSA) is the main focus of molecular breeding projects. In this study, sea rice (SR86) showed greater salt tolerance than conventional rice. Under salt stress, the cell membrane and chlorophyll were more stable and the antioxidant enzyme activity was higher in SR86 than in conventional rice. Thirty extremely salt-tolerant plants and thirty extremely salt-sensitive plants were selected from the F₂ progenies of SR86 × Nipponbare (Nip) and SR86 × 9311 crosses during the whole vegetative and reproductive growth period and mixed bulks were generated. Eleven salt tolerance related candidate genes were located using QTL-seq together with BSA. Real time quantitative PCR (RT-qPCR) analysis showed that LOC_Os04g03320.1 and BGIOSGA019540 were expressed at higher levels in the SR86 plants than in Nip and 9311 plants, suggesting that these genes are critical for the salt tolerance of SR86. The QTLs identified using this method could be effectively utilized in future salt tolerance breeding programs, providing important theoretical significance and application value for rice salt tolerance breeding.

See https://pubmed.ncbi.nlm.nih.gov/36833384/

Figure 7 The expression validation of candidate genes in SR86, Nip, and 9311 plants under normal (0 mM NaCl) and salt stress (150 mM NaCl) conditions by RT−qPCR. (a) Expression of candidate genes in Nip. (b) Expression of candidate genes in SR86. (c) Expression of candidate genes in 9311. (d) Expression of candidate genes in SR86. Plants were treated with 150 mM NaCl for 24 h. The abscissa indicates the salt concentration and the ordinate shows the relative gene expression level, which was calculated using the 2^−ΔΔCT method. Data represent the mean ± SD of three biological replicates.