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United States Department of Agriculture

Agricultural Research Service

Title: Construction of a Hexaploid Wheat (Triticum Aestivum L.) Bac Library for Cloning Genes Conferring Resistance to Stripe Rust

item Ling, Ping
item Chen, Xianming

Submitted to: Plant and Animal Genome VX Conference Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: October 30, 2003
Publication Date: January 30, 2004
Citation: Ling, P., Du, W.W., Le, D.Q., Chen, X. 2004. Construction of a hexaploid wheat (triticum aestivum l.) bac library for cloning genes conferring resistance to stripe rust. Plant and Animal Genome Abstracts. p. 144.

Technical Abstract: Wheat stripe rust, caused by the fungal pathogen Puccinia striiformis f. sp. tritici is one of the most important diseases of wheat in the world. In order to understand the molecular basis of the stripe rust resistance in wheat, we are conducting research towards cloning and characterizing genes for resistance to strip rust. The dominant gene Yr5 confers resistance to all races of P. striiformis f. sp. tritici in the U.S. Resistance gene analog polymorphism (RGAP) markers that are co-segregating with the Yr5 locus and have high homology with plant resistance genes have been previously identified. A genomic Hind III BAC library of wheat (2n = 6x) (Triticum aestivum L.) has been constructed using the wheat Yr5 near-isogenic line (NIL) (AVS/6*Yr5). The BAC library consists of 410,000 clones with an average insert size of 130 kb, and covers approximately 3.3x wheat genome equivalents. Colony pools and high-density filters of the BAC library are being made for resistance clones identification. Sequence tagged site (STS) markers developed from the RGAP markers were used to screen the multi-dimensional BAC clone pools. To isolate the expressed sequences from the candidate regions, a cDNA library from the Yr5 NIL was constructed and screened with candidate regions as a probe. This wheat BAC library will be used to clone other genes for stripe rust resistance and study of wheat genomics.

Last Modified: 4/19/2015
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