Identification and utility of sequence related amplified polymorphism (SRAP) markers linked to bacterial wilt resistance genes in potato

Abstract

Bacterial wilt caused by Ralstonia solanacearum is one of the most economically important diseases affecting potato (Solanum tuberosum). It is necessary to develop more molecular markers for potential use in potato genetic research. A highly resistant primitive cultivated species Solanum phureja was employed to generate a F1 mapping population to perform the bulked segregant analysis (BSA) for screening and identifying of sequence related amplified polymorphism (SRAP) markers linked to the potato resistance to bacterial wilt. A linkage map containing 23 DNA markers distributed on three linkage groups, and covering a genetic distance of 111 cm with an average distance of 5.8 cm between two markers was developed. Two SRAP markers, Me2em5 linked in repulsion phase and Me2em2 in coupling phase, flanked the resistance genes at genetic distances of 3.5 and 3.7 cm distance, respectively. These markers and two others were used for early seedling selection in a BC1 population. The results show that this marker system could be used in marker assisted selection (MAS) breeding program.

Genetic analysis and identification of SSR marker linked to Phomopsis blight resistance in eggplant (Solanum melongena L.)

“…Our study is also in line with the reports of Bi‐hao et al (2009) and Pandiyaraj et al (2019) who also carried out BSA to identify the markers associated with the bacterial wilt resistance in eggplant. The strategy, BSA, was also found successful in other solanaceous crops to identify the linked markers to resistance trait (Thakur et al, 2014; Yanping et al, 2014)…”

“…Our study is also in line with the reports ofBi-hao et al (2009) andPandiyaraj et al (2019) who also carried out BSA to identify the markers associated with the bacterial wilt resistance in eggplant. The strategy, BSA, was also found successful in other solanaceous crops to identify the linked markers to resistance trait(Thakur et al, 2014;Yanping et al, 2014) Furthermore, using CIM analysis association of these markers with the resistance trait is measured. Highest LOD value of 4.20 with highest the phenotypic variation of 7.39% was observed forQTL1as compared with QTL2.…”