Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (10): 1895-1903.doi: 10.3864/j.issn.0578-1752.2012.10.002

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Population Structure and Association Analysis of Oil Content in a Diverse Set of Chinese Sesame (Sesamum indicum L.) Germplasm

 WEI  Wen-Liang, ZHANG  Yan-Xin, 吕Hai-Xia , WANG  Lin-Hai, LI  Dong-Hua, ZHANG  Xiu-Rong   

  1. 中国农业科学院油料作物研究所/农业部油料作物生物学与遗传育种重点实验室，武汉 430062
  • Received:2011-12-06 Online:2012-05-15 Published:2012-03-06

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Abstract: 【Objective】 Germplasm diversity is the mainstay for crop improvement and genetic dissection of complex traits. In this study, we estimated the genetic diversity and population structure in a nature population of Chinese sesame accessions, which would be of great importance for effective utilization of these germplasms for sesame improvement and association mapping of target traits in sesame. 【Method】 Totally 79 polymorphic SSR, SRAP, and AFLP primer combinations were used in amplification of 216 sesame accessions from Chinese sesame core collections. Analysis of genetic diversity, population structure, and trait association was conducted.【Result】 A total of 338 polymorphic bands were generated. The genetic diversity and polymorphic information content (PIC) of nature population are 0.2493 and 0.2090, respectively. The nature population of 216 accessions was divided into two distinguishable subpopulations, named POP1 and POP2, by population structure analysis. There were 174 accessions, 80.56% in proportion, assigned into POP1 and 42 ones, 19.44% in proportion, into POP2. The genetic diversity (0.2180) and PIC (0.1840) of POP1 were lower than those of POP2, 0.3190 and 0.2561, respectively. AMOVA unraveled that substantially more genetic variation within subpopulations (86.83%) was observed than between subpopulations (13.17%) at P＜0.001 level. Trait association analysis showed eight markers could be detected in two years repeatedly at highly significant level (P＜0.01) with total explanation of variation of 0.2846 in Year 2008 and 0.3801 in Year 2009, which indicated these markers might be stably and affirmatively associated with QTLs controlling oil content in sesame. 【Conclusion】 An abundant genetic variation but week population structure was detected in 216 Chinese sesame accessions which indicated the nature population to be representative for further association analysis of quantitative traits in sesame. Population structure analysis showed that the nature population could be divided into two subpopulations and AMOVA revealed that the genetic variation within subpopulations was substantially more than that between subpopulations (P＜0.001). Association analysis indicated that eight markers might be associated with oil content for they could be detected associated stably with oil content at significant level (P＜0.01) in Year 2008 and 2009, repeatedly. The results suggested that the population is useful for the marker–trait association mapping. This new association population has a potential to identify quantitative trait loci (QTL) with small effects, which will aid in dissecting complex traits and in exploiting diversity present in sesame germplasms.

Key words: sesame (Sesamum indicum L.), genetic diversity, population structure, oil content, association analysis

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