Assessment of genetic diversity amongst Ugandan sesame (Sesamum indicum L.) landraces based on agromorphological traits and genetic markers |
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Authors: | Eva M. Sehr Walter Okello-Anyanga Karin Hasel-Hohl Agnes Burg Stephan Gaubitzer Patrick R. Rubaihayo Patrick Okori Johann Vollmann Paul Gibson Silvia Fluch |
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Affiliation: | 1.AIT Austrian Institute of Technology,Health & Environment Dept.,Tulln,Austria;2.Department of Agricultural Production, School of Agricultural Sciences,Makerere University, Kampala,Kampala,Uganda;3.National Semi-Arid Resources Research Institute (NaSARRI),Serere, P.O. Soroti,Uganda;4.Department of Crop Sciences,Univ. of Natural Resources and Applied Life Sciences (BOKU),Tulln,Austria;5.Department of Plant, Soil and Agricultural Systems,Illinois University,Carbondale,USA |
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Abstract: | Sesame (Sesamum indicum L.) is one of the most important ancient oilseed crops grown throughout the tropical and subtropical regions of the world. In Uganda, most of the cultivated sesame varieties are local landraces which are frequently traded between farmers. Although these traditional landraces are an important source of genetic diversity, knowledge of their genetic diversity is still limited.Agromorphological traits and a set of published and newly developed microsatellite markers were analyzed on a collection of 121 accessions of Ugandan sesame landraces. CpSSR analysis revealed four haplotypes, whereby haplotype B was present in 96% of the individuals. The analysis of nSSR markers from 6 non-coding regions revealed a mean PIC value of 0.56 whereas the PIC value of eight selected EST-derived SSRs was 0.26. Accession-wise, the expected heterozygosity (He) varied from 0 to 0.396. AMOVA revealed that the majority of the variance occurred among the individuals accounting for 75% of the total variation, only 6% was attributed to differences among the districts, pointing towards a high gene flow (Nm = 4.476). These results are supported by the PCoA analysis as well as the NJ tree both of which revealed no clustering of the accessions according to their geographic origin. Also the statistical analysis of 10 agromorphological traits indicated no clear pattern related to the geographic origin. Such a poor grouping, indicative of considerable gene flow across geographic domains, could be explained either by a high outcrossing rate, and/or through extensive seed trading. |
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