Development of New Candidate Gene and EST-Based Molecular Markers forGossypiumSpecies
Autor: | Sukumar Saha, Ramesh Buyyarapu, Govind C. Sharma, Ramesh V. Kantety, John Z. Yu |
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Rok vydání: | 2011 |
Předmět: |
0106 biological sciences
Genetics 0303 health sciences Expressed sequence tag education.field_of_study Candidate gene Article Subject Phylogenetic tree Population Plant Science Biology Gossypium biology.organism_classification 01 natural sciences 03 medical and health sciences Gene mapping Genetic marker Microsatellite education Research Article 030304 developmental biology 010606 plant biology & botany |
Zdroj: | International Journal of Plant Genomics |
ISSN: | 1687-5389 1687-5370 |
DOI: | 10.1155/2011/894598 |
Popis: | 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 andG. arboreumEST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26Gossypiumspecies. 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 betweenG. hirsutumandG. barbadense. Two hundred A-genome based SSR markers were designed after datamining ofG. arboreumEST sequences (MississippiGossypiumarboreum EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents ofG. hirsutumandG. barbadenseRIL 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. |
Databáze: | OpenAIRE |
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