Relationship Between RFLP Loci with Different Alleles on Chromosome 4 and the Levels of Blast Field Resistance in Japanese Upland Rice Varieties.

Miyamoto, Masaru; Hirasawa, Hideo

doi:10.1270/jsbbs.53.1

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…Thus, many highly resistant accessions were found in the uplands. Several partial (field) resistance genes with a wide spectra of resistance to many blast isolates have been found among the upland varieties Owarihatamochi ( pi21 ; Fukuoka and Okuno 2001 ), Kahei ( Pi36: qBRF4-1 ; Miyamoto and Hirasawa 2003 , Miyamoto et al 2001 ), and Sensho (some QTLs on chromosomes 4, 11 and 12; Kato et al 2002 ). These three accessions were also included in subgroup B2.…”

Section: Discussionmentioning

confidence: 99%

Genetic variation in resistance to blast disease (Pyricularia oryzae Cavara) in Japanese rice (Oryza sativa L.), as determined using a differential system

Kawasaki-Tanaka

Fukuta

2014

Breed. Sci.

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A total of 324 Japanese rice accessions, including landrace, improved, and weedy types were used to 1) investigate genetic variations in blast resistance to standard differential isolates, and 2) across the genome using polymorphism data on 64 SSR markers. From the polymorphism data, the accessions were classified into two clusters. Accessions from irrigated lowland areas were included mainly in cluster I, and upland and Indica types were mainly in cluster II. The accessions were classified into three resistance subgroups, A2, B1 and B2, based on the reaction patterns to blast isolates. The accessions in A2 were postulated to have at least two resistance genes Pish and Pik-s, whereas those in B1 had various combinations of the resistance genes Pish, Pia, Pii, Pi3, Pi5(t), and Pik alleles. The B2 accessions were resistant to almost all isolates, and many accessions of cluster II were included, and had Pish, Pia, Pii, Pi3, Pi5(t), certain Pik, Piz and Pita alleles, and unknown genes. The frequencies of accessions of B1 originating in Hokkaido, and those of B2 originating in the Kanto and Tohoku regions were remarkably higher than in the other regions.

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Section: Discussionmentioning

confidence: 99%

Genetic variation in resistance to blast disease (Pyricularia oryzae Cavara) in Japanese rice (Oryza sativa L.), as determined using a differential system

Kawasaki-Tanaka

Fukuta

2014

Breed. Sci.

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“…Although upland rice is genetically differentiated from lowland rice (Ishikawa et al., 1997; Lyu et al., 2014; Xia et al., 2015; Yu & Nguyen, 1994), the typical phenotypic differences are not well known. Upland varieties are likely to show more vigorous field resistance to rice blast than lowland ones (Fukuoka & Okuno, 2001; Miyamoto & Hirasawa, 2003; Miyamoto, Yano, & Hirasawa, 2001).…”

Section: Discussionmentioning

confidence: 99%

Role of the rice blast resistance gene Pi‐cd in rice (Oryza sativa) breeding programmes

et al. 2020

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A series of DNA markers for various agronomic traits may accelerate the success of marker‐assisted selection in practical plant breeding programmes. Here, we developed DNA markers for the blast resistance gene Pi‐cd. In this study, we examined the effects of the Pi‐cd locus on not only blast resistance but also agronomic traits in agriculture. We developed three pyramiding lines (PLs) coupling Pi‐cd with three blast resistance genes, pi21, Pi35 and Pi39. The effect of Pi‐cd on blast resistance was dependent on the coupled resistance genes. Then, we evaluated the effects of Pi‐cd on 13 agronomic traits. Amylose content and 1,000‐grain weight showed significant differences between the PLs and current commercial varieties, which had no negative effects on agronomic trait values. Furthermore, we investigated the distribution of genotype for the Pi‐cd locus among varieties of upland rice. The KT genotype specific to rice blast resistance may be predominant in the varieties. The results suggested that Pi‐cd has the potential to be useful for improving blast resistance in rice breeding programmes.

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“…QTL positions are only approximate -the average physical length per QTL confidence interval is 4.9 Mbp (Ballini et al, 2008). These QTL were identified in 15 different populations, most of which are derived from indica · japonica crosses (Wang et al, 1994;Bagali et al, 2000;Fukuoka and Okuno, 2001;Miyamoto et al, 2001;Sirithunya et al, 2002;Tabien et al, 2002;Zenbayashi et al, 2002;Chen et al, 2003;Loan et al, 2003;Miyamoto and Hirasawa, 2003;Sallaud et al, 2003;Huang et al, 2004;Talukder et al, 2004Talukder et al, , 2005Xu et al, 2004;Wu et al, 2005;Lopez-Gerena, 2006;Sato et al, 2006). In many cases, qualitative and quantitative resistance genes are co-located on linkage maps and these regions are often rich in genes conferring resistance to multiple pathogens and⁄or to multiple specificities of the same pathogen.…”

Section: Introductionmentioning

confidence: 99%

“…QTL positions are only approximate – the average physical length per QTL confidence interval is 4.9 Mbp (Ballini et al., 2008). These QTL were identified in 15 different populations, most of which are derived from indica × japonica crosses (Wang et al., 1994; Bagali et al., 2000; Fukuoka and Okuno, 2001; Miyamoto et al., 2001; Sirithunya et al., 2002; Tabien et al., 2002; Zenbayashi et al., 2002; Chen et al., 2003; Loan et al., 2003; Miyamoto and Hirasawa, 2003;Sallaud et al., 2003;Huang et al., 2004; Talukder et al., 2004, 2005; Xu et al., 2004; Wu et al., 2005; Lopez‐Gerena, 2006; Sato et al., 2006).…”

Section: Introductionmentioning

confidence: 99%

Four QTL in Rice Associated with Broad Spectrum Resistance to Blast Isolates from Rice and Barley

Cuesta‐Marcos

Hayes

Hongtrakul

et al. 2010

Journal of Phytopathology

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Pyricularia grisea is the most destructive and cosmopolitan fungal pathogen of rice and it can also cause disease on other agriculturally important cereals. We determined the number, location and interaction of quantitative trait loci (QTL) associated with resistance to P. grisea isolates obtained from rice (THL142 and THL222) and barley (TH16 and THL80) grown in Thailand. The isolates showed a spectrum of virulence when used to inoculate a series of differentials. We used a reference blast resistance mapping population of rice (IR64 · Azucena). IR64 was highly resistant, and Azucena was highly susceptible, to all four isolates. The numbers of resistant vs. susceptible progeny suggest that the resistance of IR64 is determined by two or three genes with additive effects. The correlation coefficients for all pairwise comparisons of disease severity were high and highest between barley isolates and between rice isolates. Four QTL were detected, one on each of the following chromosomes 2, 8, 9 and 10. IR64 contributed resistance alleles at three of the QTL (chromosomes 2, 8 and 9). Azucena contributed the resistance allele at the QTL on chromosome 10 in response to inoculation with isolate THL142. The results of the QTL analysis support interpretation of the phenotypic frequency distributions regarding the number of genes determining resistance to the four isolates in this population. Our results are novel in adding blast isolates from barley to the catalogue of pathogen specificities to which a gene, or genes, from IR64 confer resistance.

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Relationship Between RFLP Loci with Different Alleles on Chromosome 4 and the Levels of Blast Field Resistance in Japanese Upland Rice Varieties.

Cited by 6 publications

References 12 publications

Genetic variation in resistance to blast disease (<i>Pyricularia oryzae</i> Cavara) in Japanese rice (<i>Oryza sativa</i> L.), as determined using a differential system

Genetic variation in resistance to blast disease (<i>Pyricularia oryzae</i> Cavara) in Japanese rice (<i>Oryza sativa</i> L.), as determined using a differential system

Role of the rice blast resistance gene Pi‐cd in rice (Oryza sativa) breeding programmes

Four QTL in Rice Associated with Broad Spectrum Resistance to Blast Isolates from Rice and Barley

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