Assessing genetic diversity in Gossypium arboreum L. cultivars using genomic and EST-derived microsatellites |
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Authors: | Stella K. Kantartzi Mauricio Ulloa Erik Sacks James McD. Stewart |
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Affiliation: | (1) Southern Illinois University, Plant Soil and Agricultural Systems, Carbondale, IL 62901, USA;(2) USDA-ARS, Western Integrated Cropping Systems, Shafter, CA 93263, USA;(3) USDA-ARS, Stoneville, MS 38776, USA;(4) Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA |
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Abstract: | The cultivated diploid, Gossypium arboreum L., (A genome) is an invaluable genetic resource for improving modern tetraploid cotton (G. hirsutum L. and G. barbadense L.) cultivars. The objective of this research is to select a set of informative and robust microsatellites for studying genetic relationships among accessions of geographically diverse G. arboreum cultivars. From more than 1,500 previously developed simple sequence repeat (SSR) markers, 115 genomic (BNL) and EST-derived (MUCS and MUSS) markers were used to evaluate the allelic diversity of a core panel of G. arboreum accessions. These SSR data enabled advanced genome analyses. A set of 25 SSRs were selected based both upon their high level of informativeness (PIC ≥ 0.50) and the production of clear PCR bands on agarose gels. Subsequently, 96 accessions representing a wide spectrum of diversity of G. arboreum cultivars were analyzed with these markers. The 25 SSR loci revealed 75 allelic variants (polymorphisms) ranging from 2 to 4 alleles per locus. The Neighborjoining (NJ) method, based on genetic dissimilarities, revealed that cultivars from geographically adjacent countries tend to cluster together. Outcomes of this research should be useful in decreasing redundancy of effort and in constructing a core collection of G. arboreum, important for efficient use of this genetic resource in cotton breeding. |
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Keywords: | Cotton Diversity EST-SSRs Genomic-SSR Gossypium arboreum |
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