Location: Cereal Crops Improvement Research
Project Number: 3060-21000-046-027-S
Project Type: Non-Assistance Cooperative Agreement
Start Date: May 1, 2024
End Date: Apr 30, 2025
Objective:
The objectives of this cooperative research are to: 1) Screen diverse collections of wheat and wheat relatives for reaction to bacterial leaf streak disease to identify sources of genetic resistance; 2) Analyze segregating biparental wheat populations to determine the genetic control of bacterial leaf streak resistance; 3) Identify genetic loci associated with bacterial leaf streak resistance using DNA markers, genetic linkage mapping, and quantitative trait loci analysis.
Approach:
For objective 1, collections of wheat lines will be screened for reaction to bacterial leaf streak (BLS) disease in greenhouse and field environments. The collections will include parental lines of various mapping populations, all tetraploid and hexaploid lines that have full genome sequences available, a collection of synthetic hexaploid lines, and a collection of emmer wheat lines. The lines will first be evaluated under greenhouse conditions in multiple replications. BLS resistant lines will then be evaluated under field conditions to determine if BLS resistance is expressed under both field and greenhouse environments. For objective 2, we have identified through preliminary experiments that two biparental populations of recombinant inbred lines (RILs) are segregating for reaction to BLS. One population, derived from a cross between the hard red spring wheat variety Boost and the hard red spring wheat breeding line ND830, consists of 190 RILs. The second population consists of 114 RILs derived from a cross between the synthetic hexpaploid line M6 and the hard red spring wheat Opata85. Both populations will be screened under greenhouse and field conditions to determine the inheritance of BLS resistance. For objective 3, both RIL populations will be genotyped with molecular markers to develop genetic linkage maps. BLS reaction types will be regressed on the genotypic data using QTL analysis software to identify genetic loci and linked markers associated with BLS resistance. The markers identified will be useful for tracking and introgression of the BLS resistance QTL into adapted wheat lines.
