TARGETING QUANTITATIVE TRAIT LOCI FOR ADULT PLANT STRIPE RUST RESISTANCE IN WHEAT

Stripe rust, caused by Puccinia striiformis West. f. sp. tritici is one of the most damaging diseases of wheat (Triticum aestivum L.) globally. The South African wheat cultivar Kariega expresses APR and has retained yield levels acceptable for commercial production, which is of great importance to p...

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Bibliographic Details
Main Author: Philippou, Onoufrios Agathoclis
Other Authors: Dr R Prins
Format: Others
Language:en-uk
Published: University of the Free State 2009
Subjects:
Online Access:http://etd.uovs.ac.za//theses/available/etd-02052009-144559/restricted/
Description
Summary:Stripe rust, caused by Puccinia striiformis West. f. sp. tritici is one of the most damaging diseases of wheat (Triticum aestivum L.) globally. The South African wheat cultivar Kariega expresses APR and has retained yield levels acceptable for commercial production, which is of great importance to plant breeders. A Kariega x Avocet S partial linkage map has made a significant contribution to understanding the genetics underlying APR to stripe rust (Yr) in Kariega. Two major YrQTL with indications of different resistance mechanisms were identified on chromosomes 2B and 7D. In this study we investigated the effectiveness of identifying AFLP markers closely linked to the YrQTL using a targeted bulk segregant analysis (tBSA) approach in F1 doubled haploid (DH) individuals. Individual Kariega x Avocet S DH lines were characterised and bulked based on stripe rust phenotypes and DNA marker allele profiles. In agreement with standard BSA, an extreme resistant bulk (both QTL present: +7D+2B) and extreme susceptible bulk (both QTL absent: -7D-2B) were constructed based on phenotypic data and verified with marker allele data. Three additional bulks (+7D-2B; -7D+2B and narrow down +7D±2B with marker recombinations in 7D QTL interval) were constructed based on a combination of phenotypic and marker data, with a strong emphasis on the presence or absence of marker alleles representing a specific QTL interval as required by a specific bulk. A total of 184 AFLP primer combinations (SseI and MseI) were tested on the two parental lines and five bulks. Thirty-one of these primer combinations detected 32 putative markers that could discriminate between the extreme resistant and susceptible bulks and that were putatively linked to either the 7D or 2B QTL regions. After validation of these markers on all individuals used in the extreme resistant and extreme susceptible bulks, nine markers were identified that were present in the extreme resistant and the specific -7D+2B bulk, but absent in the extreme susceptible bulk. Another two markers were identified that were present in the extreme resistant, +7D-2B and narrow down +7D±2B bulks, but absent in the extreme susceptible bulk. These markers were mapped onto the existing Kariega x Avocet S partial linkage map using Map Manager QTXb20. Six AFLP markers mapped within or close to the QYr.sgi.2B and one close to the QYr.sgi.7D QTL regions. The tBSA approach was efficient since 10 of the 11 markers (91%) putatively identified after screening of the individuals constituting the bulk samples mapped to either chromosome 2B or 7D. AFLP analysis in combination with tBSA was shown to be reproducible, faster and a more cost effective approach compared to a traditional BSA since tBSA lead to a reduction of 28.2% of primers that need to be tested. Following the tBSA approach, marker s23m53d mapped 3 cM from marker gwm148 previously shown to be significantly associated with mean host reaction type for final field data as well as leaf area infected of the QYr.sgi-2B QTL region. This resulted in an increase in LOD score from 20.1 to 23.9 using interval mapping. Even though two markers were added to the 7D chromosome, both mapped outside the QYr.sgi-7D QTL region. Marker s20m38b mapped 9 cM from the SSR marker gwm295 and 20 cM from the Ltn gene previously shown to be associated with the trait of interest on chromosome 7D. In summary, the combination of AFLP analysis and a tBSA approach has proved to be useful in the identification of QTL, the placement of closely linked markers to known QTLs and targeting chromosome areas with low marker numbers. Indications are that a large number of AFLP primer combinations need to be screened to successfully target a specific QTL interval for increased map resolution.