Molecular validation of genes responsive to salinity stress and evaluation of their allelic diversity in mutant rice

Oladi Ghadicolaei, Morteza; Nematzadeh, Ghorban Ali; Ranjbar, Ali; Hashemi, Hamidreza

doi:10.30473/cb.2020.54391.1815

Molecular validation of genes responsive to salinity stress and evaluation of their allelic diversity in mutant rice

Document Type : Research Paper

Authors

¹ Ph. D. Student of Plant Breeding, Sari Agricultural Sciences and Natural Resources University (SANRU), Genetic and Agricultural Biotechnology Institute of Tabarestan (GABIT), Sari Iran.

² Professors, Department of Plant Breeding, Sari Agricultural Sciences and Natural Resources University (SANRU), Genetic and Agricultural Biotechnology Institute of Tabarestan (GABIT), Sari., Iran.

³ Associated Professor, Department of Plant Breeding, Sari Agricultural Sciences and Natural Resources University (SANRU), Sari, Iran.

⁴ 4. Department of Genetic Engineering and Biology, Genetics and Agricultural Biotechnology Institute of Tabarestan (GABIT), Sari Agricultural Sciences and Natural Resources University (SANRU), Sari, Iran.

10.30473/cb.2020.54391.1815

Abstract

Marker-assisted selection (MAS), a selective method which is not influenced by environmental factors. The success of MAS-based breeding programs depends on the selection and validation of the markers used. In this study, to validate the gene(s) associated with salinity stress and evaluation of allelic diversity of these markers in mutant rice lines, Band pattern of 18 SSR markers on a leaf sample of 14 mutant lines (M9) of rice, along with 2 susceptible controls (IR29 and Sepidrood) and 2 tolerant controls (Nonabokra and Dylmani) in 1398 in Genetics & Agricultural Biotechnology Institute of Tabarestan (GABIT). 11 primers were selected based on band pattern analysis in susceptible / tolerant cultivars. The molecular analysis results showed that OsMAPK4, OsCML11 and OsCPK17 had highest polymorphic information content (PIC). OsMAPK4 and OsCML11 had highest marker index (MI) at a rate of 0.23. The lowest PIC (0.05) and MI (0. 11) was accounted for OsCAX (D). Cluster analysis of molecular data, divided rice genotypes into three distinct groups. However, analysis of Biplot classified the genotypes into four different groups. In this study, 3 genes OsCML11, OsMAPK4 and OsCPK17 were identified on chromosomes 1, 6 and 7 respectively, as the most efficient primers in identifying the genetic diversity between the rice genotypes, considering that these primers have a very high linkage with salinity resistance genes, can be predicted that 3 lines G1 (M9-P1-7-2-1), G8 (M9-P3-21-1-1) and G9 (M9-P6 -7-1-1) have high tolerance to salinity stress.

Keywords

20.1001.1.22520783.1399.10.30.5.9

Main Subjects

Molecular Plant Breeding

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