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ARS Home » Plains Area » College Station, Texas » Southern Plains Agricultural Research Center » Crop Germplasm Research » Research » Publications at this Location » Publication #276008

Title: Genome-Wide Gossypium SNP development and validation

Author
item WANG, FEI - Texas A&M University
item HULSE, AMANDA - Texas A&M University
item HOEGAENAUER, KEVIN - Texas A&M University
item STELLY, DAVID - Texas A&M University
item ASHRAFI, HAMID - University Of California
item VAN DEYNZE, ALLEN - University Of California
item Yu, John

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/6/2012
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Efforts toward development of cotton SNPs have been few and mostly small-scale. Novel cotton fiber ESTs were developed from normalized non-clonal cDNA libraries of Gossypium species that were sequenced using complementary 454 and Illumina technologies. A hybrid de novo assembly of G. hirsutum cv. TM-1 read was carried out to construct reference sequence contigs. After differentiating SNPs from A versus D genome-specific polymorphisms (GSPs) by mapping reads to the reference sequences, over 10,000 putative SNP markers were identified for differences among five Upland cotton (G. hirsutum) lines and relative to the other cultivated tetraploid species, G. barbadense, which has far superior fiber length and quality. Many more SNPs were also identified relative to G. longicalyx, a diploid source of extreme resistance to reniform nematodes. The Kaspar Assay of Kbiosciences was used to assess a sample of putative SNPs by screening TM-1 (G. hirsutum), 3-79 (G. barbadense), F1 euploid and hypoaneuploid cytogenetic stocks, radiation hybrids and certain 2x and 4x wild species. We are validating putative SNPs by linkage mapping. The numbers and positions of SNP assay clusters suggest locus number varies from 1 to 4 or higher. To contend with the extreme complexity of the cotton genome, we are using cytogenetic stocks, linkage mapping and radiation hybrid mapping as independent assessments of structure. SNP maps will be used to associate valuable complex traits, such as fiber length, disease resistance, improved yield potential and stress tolerance, with specific markers and render them amenable to marker-assisted selection (MAS).