Mapping quantitative trait loci for sheath blight disease resistance in Yangdao 4 rice

Zhang, Wen; Zeng, Yanwei; Ji, Zhijuan; Yang, Chuanxi

doi:10.4238/2015.march.6.10

Cited by 28 publications

(20 citation statements)

References 29 publications

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“…For R. solani resistance assay, R. solani AG1‐IA isolate RH‐9 was used for inoculation with tooth picks as described by Wen et al . (Wen et al ., ), with some modifications. In brief, sclerotia were transferred to a new PDA (potato dextrose agar) plate and grown for 2 days at 28°C.…”

Section: Methodsmentioning

confidence: 99%

Rice copine genes OsBON1 and OsBON3 function as suppressors of broad‐spectrum disease resistance

Yin

Zou

Hong

et al. 2018

Plant Biotechnology Journal

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SummaryBreeding for disease resistance is the most effective strategy to control diseases, particularly with broad‐spectrum disease resistance in many crops. However, knowledge on genes and mechanism of broad‐spectrum resistance and trade‐off between defence and growth in crops is limited. Here, we show that the rice copine genes OsBON1 and OsBON3 are critical suppressors of immunity. Both OsBON1 and OsBON3 changed their protein subcellular localization upon pathogen challenge. Knockdown of OsBON1 and dominant negative mutant of OsBON3 each enhanced resistance to rice bacterial and fungal pathogens with either hemibiotrophic or necrotrophic lifestyles. The defence activation in OsBON1 knockdown mutants was associated with reduced growth, both of which were largely suppressed under high temperature. In contrast, overexpression of OsBON1 or OsBON3 decreased disease resistance and promoted plant growth. However, neither OsBON1 nor OsBON3 could rescue the dwarf phenotype of the Arabidopsis BON1 knockout mutant, suggesting a divergence of the rice and Arabidopsis copine genes. Our study therefore shows that the rice copine genes play a negative role in regulating disease resistance and their expression level and protein location likely have a large impact on the balance between immunity and agronomic traits.

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Section: Methodsmentioning

confidence: 99%

Rice copine genes OsBON1 and OsBON3 function as suppressors of broad‐spectrum disease resistance

Yin

Zou

Hong

et al. 2018

Plant Biotechnology Journal

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“…Detailed information on these 179 markers is given in Wen et al [42]. The six grain-weight-related QTLs detected in these two populations (see Results section) were further examined in the F 2 populations planted in 2012 in Hangzhou, using 44 markers that covered the regions of these six QTLs, as described in Zeng et al [43].…”

Section: Methodsmentioning

confidence: 99%

“…The F 2 and F 3 mapping populations were initially used to identify the sheath blight-resistant QTL [42], not for mapping grain-weight-related QTLs. Six grain-weight-related QTLs were detected while analyzing the F 2 and F 3 populations, and we found that 12 alleles within these six grain-weight-QTLs acted cumulatively to control grain weight.…”

Section: Introductionmentioning

confidence: 99%

“…Six grain-weight-related QTLs were detected while analyzing the F 2 and F 3 populations, and we found that 12 alleles within these six grain-weight-QTLs acted cumulatively to control grain weight. In the present study, we used data from seven mapping populations, including the two F 2 and the F 3 populations developed in a previous study [42], and four recombinant inbred lines populations developed using the same parents, to elucidate how the 12 alleles in the six QTLs regulated grain weight and to test if these 12 alleles act additively across loci, leading to a linear relationship between the predictive breeding value of QTL and phenotype, or epistatically, leading to a nonlinear relationship between QTL values and phenotype.…”

Section: Introductionmentioning

confidence: 99%

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Combination of twelve alleles at six quantitative trait loci determines grain weight in rice

Zeng

Shi²,

et al. 2017

PLoS ONE

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Grain weight, which is controlled by quantitative trait loci (QTLs), is one of the most important determinants of rice yield. Although many QTLs for grain weight have been identified, little is known about how different alleles in different QTLs coordinate to determine grain weight. In the present study, six grain-weight-QTLs were detected in seven mapping populations (two F2, one F3, and four recombinant inbred lines) developed by crossing ‘Lemont’, a United States japonica variety, with ‘Yangdao 4’, a Chinese indica variety. In each of the six loci, one allele from one parent increased grain weight and one allele from another parent decreased it. Thus, the 12 alleles at the six QTLs were subjected to regression analysis to examine whether they acted additively across loci leading to a linear relationship between the predicted breeding value of QTL and phenotype. Results suggested that a combination of the 12 alleles determined grain weight. In addition, plants carrying more grain-weight-increasing alleles had heavier grains than those carrying more grain-weight-decreasing alleles. This trend was consistent in the seven mapping populations. Thus, these six QTLs might be used in marker-assisted selection of grain weight, by stacking different grain-weight-increasing or -decreasing alleles.

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“…In a genetic study for sheath blight resistance by Wen et al [169], three traits that were related to sheath blight (i.e., disease rating, lesion height, and percentage of lesion height) were evaluated in three field environments with two F 2 and one F 2:3 populations from a cross of Yangdao 4 (resistant chinese variety) and Lemont (susceptible US japonica variety). Among the 21 QTLs that were identified in that study, 8, 6, and 7 QTLs were related to disease rating, lesion height, and percentage of lesion height, respectively, and two QTLs from chromosome 7 and 12 were newly identified [169]. Furthermore, a significant negative correlation was detected between plant height and disease rating in the same study, which was congruent with previous studies [153,155].…”

Section: Rm1361-rm104 (Wildmentioning

confidence: 99%

An Overview of Rice QTLs Associated with Disease Resistance to Three Major Rice Diseases: Blast, Sheath Blight, and Bacterial Panicle Blight

Zarbafi

Ham

2019

Agronomy

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Rice (Oryza sativa L.) is one of the most important crops that are produced as human food, directly feeding people more than any other crop. Hence, it is important to increase the yield potential of rice through improving the disease resistance to prevailing rice diseases. Blast caused by the fungus Magnaporthe oryzae, sheath blight caused by the fungus Rhizoctonia solani Kühn, and bacterial panicle blight caused by the bacteria Burkholderia glumae and B. gladioli are serious rice diseases in many rice-producing regions. In spite of the chronic damages from these major diseases, the quantitative resistance to each of them is not known very well and any available disease-resistant varieties are rare or not stable. Although gene-for-gene resistance that is mediated by an R-Avr interaction has been intensively studied for blast, quantitative (or horizontal) resistance to a broad spectrum of races in M. oryzae is still poorly understood. Identification of the quantitative trait loci (QTLs) related to these diseases and using marker technology can facilitate marker-assisted selection to screen resistant traits in individual resources, which could ultimately lead to the development of novel disease-resistant rice varieties. This article is a summary of identified QTLs that are associated with rice diseases, including blast, sheath blight, and bacterial panicle blight that can be used in breeding programs.

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Mapping quantitative trait loci for sheath blight disease resistance in Yangdao 4 rice

Cited by 28 publications

References 29 publications

Rice copine genes OsBON1 and OsBON3 function as suppressors of broad‐spectrum disease resistance

Rice copine genes OsBON1 and OsBON3 function as suppressors of broad‐spectrum disease resistance

Combination of twelve alleles at six quantitative trait loci determines grain weight in rice

An Overview of Rice QTLs Associated with Disease Resistance to Three Major Rice Diseases: Blast, Sheath Blight, and Bacterial Panicle Blight

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