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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 #308280
Title: Genomic landscape of fiber genes in fibered and non-fibered cottons

Author
item Yu, John
item XU, ZHANYOU - Iowa State University
item YU, JING - Washington State University
item Kohel, Russell
item MAIN, DORRIE - Washington State University
item Percy, Richard

Submitted to: International Cotton Genome Initiative Workshop
Publication Type: Abstract Only
Publication Acceptance Date: 8/1/2014
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Cotton fiber is the largest single cell in the plant kingdom. It is the best model to study cell function, differentiation, maturation, and cell death. Cotton fiber transcriptome can be clustered into two types of regions: conservative areas and recombination hotspots. This study was to investigate the distribution, organization, and evolution of fiber development unigenes anchored to recombination hotspots among At, Dt tetraploid subgenomes and completely sequenced D diploid genomes by Beijing Genome Institute (BGI) and Joint Genome Institute (JGI), respectively. Results from the comparisons between 13 At and D, 13 Dt and D chromosome pairs showed that 1) diploid cotton genomes provide many fiber development genes after merging of the diploid genomes "A" from G. arboreum and "D" from G. raimondii although the D genome itself does not produce any spinnable fiber; 2) At vs. D have higher co-linearity rates for fiber development genes than those of Dt vs. D chromosome pairs in the recombination hotspots of the tetraploid genome G. hirsutum. The finding to the distribution, organization, and evolution of fiber development genes shed light on the genomic landscape of fiber development genes in both fiber-producing and fiberless cottons. The data obtained from this study help cotton geneticists and breeders better understand the fiber transcriptome and more effectively exploit important genomic regions for the improvement of fiber yield and quality in cultivated cottons.