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Development of New Candidate Gene and EST-Based Molecular Markers for<i>Gossypium</i>Species

Ramesh BuyyarapuCenter for Molecular Biology, Department of Natural Resources and Environmental Sciences, Alabama A&M University, 134 ARC Building, P.O. Box 1927, Normal, AL 35762, USARamesh V. KantetyCenter for Molecular Biology, Department of Natural Resources and Environmental Sciences, Alabama A&M University, 134 ARC Building, P.O. Box 1927, Normal, AL 35762, USAJohn Z. YuSouthern Plains Agricultural Research Center, USDA-ARS, 2881 F&B Road, College Station, TX 77845, USASukumar SahaGenetics and Precision Agriculture Research Unit, USDA-ARS, P.O. Box 5367, MS 39762, USAGovind C. SharmaCenter for Molecular Biology, Department of Natural Resources and Environmental Sciences, Alabama A&M University, 134 ARC Building, P.O. Box 1927, Normal, AL 35762, USA
2011en
ABI

Аннотация

New source of molecular markers accelerate the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum EST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26 Gossypium species. Cluster analysis generated a phylogenetic tree with four major sub-clusters for 23 species while three species branched out individually. CAP method enhanced the rate of polymorphism of candidate gene-based markers between G. hirsutum and G. barbadense. Two hundred A-genome based SSR markers were designed after datamining of G. arboreum EST sequences (Mississippi Gossypium arboreum EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents of G. hirsutum and G. barbadense RIL population and formed 14 linkage groups. Chromosomal localization of both candidate gene-based and MGAES markers was assisted by euploid and hypoaneuploid CS-B analysis. Gene-based and MGAES markers were highly informative as they were designed from candidate genes and fiber transcriptome with a potential to be integrated into the existing cotton genetic and physical maps.

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