期刊论文详细信息
Journal of genetics
Construction of intersubspecific molecular genetic map of lentil based on ISSR, RAPD and SSR markers
Naresh Kumar1  Mamta Gupta2  Sabhyata Bhatia3  Rajeev Rathour2  Bhawna Verma2  Shyam K. Sharma2  Tilak R. Sharma12  Rakesh K. Chahota2 
[1] Division of Germplasm Evaluation, National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi 110 012, India$$;Department of Agricultural Biotechnology, Chaudhary Sarwan Kumar Himachal Pradesh Agricultural University, Palampur 176 062, India$$;National Institute of Plant Genome Research, P. O. Box 10531, Aruna Asaf Ali Marg, Jawaharlal Nehru University Campus, New Delhi 110 067, India$$
关键词: RAPD;    SSR;    ISSR;    intersubspecific linkage map;    Lens culinaris ssp. orientalis.;   
DOI  :  
学科分类:生物科学(综合)
来源: Indian Academy of Sciences
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【 摘 要 】

Lentil (Lens culinaris ssp. culinaris), is a self-pollinating diploid ($2n = 2x = 14$), cool-season legume crop and is consumed worldwide as a rich source of protein (∼24.0%), largely in vegetarian diets. Here we report development of a genetic linkage map of Lens using 114 F2 plants derived from the intersubspecific cross between L 830 and ILWL 77. RAPD (random amplified polymorphic DNA) primers revealed more polymorphism than ISSR (intersimple sequence repeat) and SSR (simple sequence repeat) markers. The highest proportion (30.72%) of segregation distortion was observed in RAPD markers. Of the 235 markers (34 SSR, 9 ISSR and 192 RAPD) used in the mapping study, 199 (28 SSRs, 9 ISSRs and 162 RAPDs) were mapped into 11 linkage groups (LGs), varying between 17.3 and 433.8 cM and covering 3843.4 cM, with an average marker spacing of 19.3 cM. Linkage analysis revealed nine major groups with 15 or more markers each and two small LGs with two markers each, and 36 unlinked markers. The study reported assigning of 11 new SSRs on the linkage map. Of the 66 markers with aberrant segregation, 14 were unlinked and the remaining 52 were mapped. ISSR and RAPD markers were found to be useful in map construction and saturation. The current map represents maximum coverage of lentil genome and could be used for identification of QTL regions linked to agronomic traits, and for marker-assisted selection in lentil.

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