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United States Department of Agriculture

Agricultural Research Service


item Park, Young
item Ulloa, Mauricio
item Alabady, Magdy
item Frelichowski, James - Jim
item Wilkins, Thea
item Stelly, David
item Cantrell, Roy

Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 9/29/2004
Publication Date: 1/15/2005
Citation: Park, Y.H., Ulloa, M., Alabady, M.S., Frelichowski, J.E., Wilkins, T., Stelly, D.M., Cantrell, R.G. 2005. Est-derived microsatellite markers as a source for mapping fiber quality QTL in cotton (Gossypium spp.). Plant and Animal Genome XIII Conference Proceedings. p. 110.

Interpretive Summary:

Technical Abstract: A new set of microsatellite markers was developed using the sequences obtained from a database of fiber ESTs from the diploid species Gossypium arboreum L. A total of 1232 EST-derived SSR primer pairs were designed and tested for PCR amplification. Based on PCR amplification, the transferability of the SSR markers was high in that 82.7 % of the primer pairs successfully amplified products from six Gossypium species, including both diploid and tetraploid accessions and cultivars. Polymorphic PCR-amplified DNA fragments among six species of cotton were observed for 562 (55.2 %) microsatellite markers and 202 markers were polymorphic between G. hirsutum L. and G. barbadense L. The trinucleotide was the most abundant repeat motif, with TTC/AAG being the most common motif for trimeric SSRs. The highest allelic variation was observed from dinucleotide repeats and the repeat sequences located in untranslated regions (UTRs). Locations of 34 microsatellites were delimited to 11 chromosomes and/or 15 chromosome arms by hypo-aneuploid deficiency analysis, which may be valuable for assigning genetic linkage groups to particular chromosomes. Besides being of value for genome analysis per se, the origin of these markers from fiber-derived ESTs and their demonstrated portability, suggest that they may also be useful for genetic mapping and marker-assisted selection of fiber quality-related genes.

Last Modified: 06/28/2017
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