Association mapping for protein, total soluble sugars, starch, amylose and chlorophyll content in rice

BMC Plant Biology

Research

E. Pandit¹  P. Sanghamitra²  S. K. Pradhan²  S. Sangeeta²  S. R. Barik²  N. Basak²  D. K. Nayak²  K. R. Reshmi Raj²  S. Sahoo³ 

[1] Fakir Mohan University, 756020, Balasore, Odisha, India;ICAR-National Rice Research Institute, 753006, Cuttack, Odisha, India;ICAR-National Rice Research Institute, 753006, Cuttack, Odisha, India;College of Agriculture, OUAT, 751003, Bhabaneswar, Odisha, India;

关键词: Association mapping;    Protein content;    Soluble sugars content;    Starch content;    Amylose content;    Chlorophyll content;    Rice;   

DOI  :  10.1186/s12870-022-04015-8

 received in 2022-08-04, accepted in 2022-12-21,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundProtein, starch, amylose and total soluble sugars are basic metabolites of seed that influence the eating, cooking and nutritional qualities of rice. Chlorophyll is responsible for the absorption and utilization of the light energy influencing photosynthetic efficiency in rice plant. Mapping of these traits are very important for detection of more number of robust markers for improvement of these traits through molecular breeding approaches.ResultsA representative panel population was developed by including 120 germplasm lines from the initial shortlisted 274 lines for mapping of the six biochemical traits using 136 microsatellite markers through association mapping. A wide genetic variation was detected for the traits, total protein, starch, amylose, total soluble sugars, chlorophyll a, and chlorophyll b content in the population. Specific allele frequency, gene diversity, informative markers and other diversity parameters obtained from the population indicated the effectiveness of utilization of the population and markers for mapping of these traits. The fixation indices values estimated from the population indicated the existence of linkage disequilibrium for the six traits. The population genetic structure at K = 3 showed correspondence with majority of the members in each group for the six traits. The reported QTL, qProt1, qPC6.2, and qPC8.2 for protein content; qTSS8.1 for total soluble sugar; qAC1.2 for amylose content; qCH2 and qSLCHH for chlorophyll a (Chl. a) while qChl5D for chlorophyll b (Chl. b) were validated in this population. The QTL controlling total protein content qPC1.2; qTSS7.1, qTSS8.2 and qTSS12.1 for total soluble sugars; qSC2.1, qSC2.2, qSC6.1 and qSC11.1 for starch content; qAC11.1, qAC11.2 and qAC11.3 for amylose content; qChla8.1 for Chl. a content and qChlb7.1 and qChlb8.1 for Chl. b identified by both Generalized Linear Model and Mixed Linear Model were detected as novel QTL. The chromosomal regions on chromosome 8 at 234 cM for grain protein content and total soluble sugars and at 363 cM for Chl. a and Chl. b along with the position at 48 cM on chromosome 11 for starch and amylose content are genetic hot spots for these traits.ConclusionThe validated, co-localized and the novel QTL detected in this study will be useful for improvement of protein, starch, amylose, total soluble sugars and chlorophyll content in rice.

【 授权许可】

CC BY   
© The Author(s) 2022

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