Identifying Wheat Genotypes Resistant to Eyespot Disease with a<i>beta</i>-Glucuronidase-Transformed Strain of<i>Pseudocercosporella herpotrichoides</i>

Peña, Robert C. de la

doi:10.1094/phyto-84-972

Cited by 31 publications

(24 citation statements)

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“…In this study, GUS assay was conducted to evaluated eyespot severity in addition to visual ratings. The GUS reporter gene system quantifies pathogen growth and provides an objective and sensitive tool to assess phenotype that complements visual ratings (de la Peña and Murray 1994;de la Peña et al 1996de la Peña et al , 1997Yildirim et al 2000). During the GUS assay, inoculation was conducted Bars with an asterisk are genotypes with significantly (P \ 0.05) lower GUS scores or visual ratings than 'no QTL'.…”

Section: Discussionmentioning

confidence: 99%

“…RILs and the parents were evaluated for eyespot resistance in growth chamber experiments using a modified GUS assay (de la Peña and Murray 1994). Winter wheat cultivars Madsen and Hill 81 were the resistant and susceptible controls, respectively.…”

Section: Phenotypic Evaluationmentioning

confidence: 99%

“…Plants were inoculated with a mixture of conidia from b-glucuronidase (GUS) transformed O. yallundae isolates tph8934-5-61, tph8934-5-62, tph8934-5-68, and tph8934-5-70 when at the two-leaf stage (de la Peña and Murray 1994). A slurry was made by blending conidia, 1.5 % fresh WA, and water together for a final concentration of 2.1 9 10 5 conidia per ml.…”

Section: Phenotypic Evaluationmentioning

confidence: 99%

“…During inoculation, 250 ll of the slurry was pipetted into a 3.3-cm long split drinking straw collar around each plant stem base. The same amount of inoculum was added again 1 or 2 days later (de la Peña and Murray 1994).…”

Section: Phenotypic Evaluationmentioning

confidence: 99%

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Mapping QTL for resistance to eyespot of wheat in Aegilops longissima

Sheng

See²,

Murray

2012

Theor Appl Genet

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Eyespot is an economically important disease of wheat caused by the soilborne fungi Oculimacula yallundae and O. acuformis. These pathogens infect and colonize the stem base, which results in lodging of diseased plants and reduced grain yield. Disease resistant cultivars are the most desirable control method, but resistance genes are limited in the wheat gene pool. Some accessions of the wheat wild relative Aegilops longissima are resistant to eyespot, but nothing is known about the genetic control of resistance. A recombinant inbred line population was developed from the cross PI 542196 (R) × PI 330486 (S) to map the resistance genes and better understand resistance in Ae. longissima. A genetic linkage map of the S(l) genome was constructed with 169 wheat microsatellite markers covering 1261.3 cM in 7 groups. F(5) lines (189) were tested for reaction to O. yallundae and four QTL were detected in chromosomes 1S(l), 3S(l), 5S(l), and 7S(l). These QTL explained 44 % of the total phenotypic variation in reaction to eyespot based on GUS scores and 63 % for visual disease ratings. These results demonstrate that genetic control of O. yallundae resistance in Ae. longissima is polygenic. This is the first report of multiple QTL conferring resistance to eyespot in Ae. longissima. Markers cfd6, wmc597, wmc415, and cfd2 are tightly linked to Q.Pch.wsu-1S ( l ), Q.Pch.wsu-3S ( l ), Q.Pch.wsu-5S ( l ), and Q.Pch.wsu-7S ( l ), respectively. These markers may be useful in marker-assisted selection for transferring resistance genes to wheat to increase the effectiveness of resistance and broaden the genetic diversity of eyespot resistance.

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Section: Discussionmentioning

confidence: 99%

Section: Phenotypic Evaluationmentioning

confidence: 99%

Section: Phenotypic Evaluationmentioning

confidence: 99%

Section: Phenotypic Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Mapping QTL for resistance to eyespot of wheat in Aegilops longissima

Sheng

See²,

Murray

2012

Theor Appl Genet

View full text Add to dashboard Cite

show abstract

“…Visual rating of disease incidence and severity is regularly applied to follow up development of the disease in fi eld experiments. While a close relationship was found between ELISA test and visual scoring (Lind, 1992;Newton & Reglinski, 1993), other authors found visual scoring to be more sensitive than the ELISA test (Delapena & Murray, 1994), or vice versa (Balesdent et al, 1995;ForoughiWehr et al, 1996). For the identifi cation of metabolites and pathways underlying SIR, it is crucial to analyse the infected plant tissue during the initial phase when resistance mechanisms are activated, which is, however, diffi cult to achieve under fi eld conditions.…”

Section: Experimental Design Analytical Procedures and 1131 Interpmentioning

confidence: 97%