High Resolution Mapping of the<i>/ndica</i>-Derived Rice Blast Resistance Genes. I.<i>Pi-b</i>

Miyamoto, Masaru; Andó, István; Rybka, Krystyna; Kodama, Osamu; Kawasaki, S.

doi:10.1094/mpmi-9-0-0006

Cited by 46 publications

(27 citation statements)

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“…It is well known that R genes share common sequence motifs, such as leucine-rich repeat domain (LRR), nucleotidebinding site (NBS) and kinase domains, reflecting related functions on their role in pathogen recognition and signal transduction (Miyamoto et al 1996). Pib and Pita (Bryan et al, 2000) possessed sequences encoding NDS-LRR proteins.…”

Section: Discussionmentioning

confidence: 99%

Screening of the Dominant Rice Blast Resistance Genes with PCR-based SNP and CAPS Marker in Aromatic Rice Germplasm

Kim¹,

Ahn²,

Hong³

et al. 2011

Korean Journal of Crop Science

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The objective of this study was to determine the genetic diversities of major rice blast resistance genes among 84 accessions of aromatic rice germplasm. Eighty four accessions were characterized by a dominant 11 set of PCR-based SNP and CAPS marker, which showed the broad spectrum resistance and closest linkage to seven major rice blast resistance (R) genes, Pia, Pib, Pii, Pi5 (Pi3), Pita (Pita-2), and Pi9 (t). The allele specific PCR markers assay genotype of SCAR and STS markers was applied to estimate the presence or absence of PCR amplicons detected with a pair of PCR markers. One indica accession, Basmati (IT211194), showed the positive amplicons of five major rice blast resistance genes, Pia, Pi5 (Pi3), Pib, Pi-ta (Pi-ta2), and Pik-5 (Pish). Among 48 accessions of the PCR amplicons detected with yca72 marker, only five accessions were identified to Pia gene on chromosome 11. The Pib gene was estimated with the NSb marker and was detected in 65 of 84 accessions. This study showed that nine of 84 accessions contained the Pii gene and owned Pi5 (Pi3) in 42 of 84 accessions by JJ817 and JJ113-T markers, which is coclosest with Pii on chromosome 9. Only six accessions were detected two alleles of the Pita or Pita-2 genes. Three of accessions were identified as the Pi9 (t) gene locus.

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Section: Discussionmentioning

confidence: 99%

Screening of the Dominant Rice Blast Resistance Genes with PCR-based SNP and CAPS Marker in Aromatic Rice Germplasm

Kim¹,

Ahn²,

Hong³

et al. 2011

Korean Journal of Crop Science

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“…High-resolution maps are useful for the precise placement of a gene of interest and the analysis of regional and sub-regional rates of recombination (Miyamoto et al 1996;Rybka et al 1997;Fridman et al 2000). They can also be used to select appropriate combinations of markers for markerassisted selection in plant-breeding programs.…”

Section: Introductionmentioning

confidence: 99%

High resolution genetic mapping and candidate gene identification at the xa5 locus for bacterial blight resistance in rice (Oryza sativa L.)

et al. 2003

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The xa5 resistance gene from rice provides recessive, race-specific resistance to bacterial blight of rice caused by the pathogen Xanthomonas oryzae pv oryzae. A high-resolution genetic map of the chromosomal region surrounding xa5 was developed by placing 44 DNA markers on the distal end of rice chromosome 5. The basis for mapping was a PCR-based screening of 1,016 F(2) individuals derived from a cross between a near-isogenic line (NIL) and its corresponding recurrent parent to identify recombinants in the region. Recombinant F(2) individuals were progeny tested using F(3) families inoculated with the Philippine strain PXO 61 of bacterial blight pathogen. The xa5 gene was mapped to a 0.5-cM interval between the markers RS7 and RM611, which spanned an interval of approximately 70 kb and contained a total of 11 open reading frames. Sequence data for the locus was generated from an Indica (the IR24 isoline, IRBB21) BAC covering part of the region and compared to other overlapping Indica (cv 93-11) and Japonica (cv Nipponbare) sequences. Candidate-gene analysis revealed that a basal transcription factor (TFIIa), an ABC transporter, a tRNA synthase, a MAP kinase and a cysteine protease, as well as four unknown, hypothetical or putative proteins, are encoded at the locus and could be potential candidates for the resistance gene product. The mechanism by which these genes could provide recessive, race-specific resistance will be elucidated by map-based cloning of the xa5 gene.

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“…Correlation between presently identified QTLs and previously reported disease resistance loci Figure 1 shows the estimated location of the blast resistance QTLs identified from this study and how they compare with the estimated locations of genes and QTLs previously reported to affect rice blast resistance (Yu et al 1991;McCouch et al 1994;Wang et al 1994;Hittalmani et al 1995;Inukai et al 1996;Miyamoto et al 1996;Naqvi and Chattoo 1996;Pan et al 1996;Rybka et al 1997;Chen et al 1999;Tabien et al 2000). Of the nine presently identified putative blast QTLs, three (qBLASTa-1, qBLASTads-2 and qBLAST-ads-12-1) correlated with blast resistance loci previously reported from other populations.…”

Section: Impact Of Qtl/gene Combinationsmentioning

confidence: 64%

“…1 Estimated location of major genes and QTLs conferring resistance to rice blast, bacterial blight and sheath blight diseases. Solid black rectangles indicate QTLs presently determined to be associated with data from all three methods of evaluating field resistance to blast disease; black rectangles marked with an 'a' indicate QTLs that were associated with AUDPC but not with %DLA or SES; black circles with lines indicate the probes that exhibited statistically significant linkage with major blast resistance genes that were identified using the same mapping population (Tabien et al 2000); gray circles indicate major blast resistance genes that were mapped in various other populations (Yu et al 1991;McCouch et al 1994;Hittalmani et al 1995;Inukai et al 1996;Miyamoto et al 1996;Naqvi and Chattoo 1996;Pan et al 1996;Rybka et al 1997;Chen et al 1999); gray rectangles indicate blast resistance QTLs mapped from Moroberekan (Wang et al 1994); triangles indicate major resistance genes for bacterial blight mapped in various populations (Abenes et al 1993;Yoshimura et al 1995;Lin et al 1996;Zhang et al 1996;Li et al 1999); rectangles with a diamond pattern indicate bacterial blight QTLs that were mapped using a related set of Lemont × Teqing RILs (Li et al 1999); and rectangles with diagonal lines indicate QTLs for resistance to sheath blight disease that were identified and mapped in an earlier Lemont × Teqing generation v Correlation between QTLs for AUDPC, %DLA and SES Six of the nine putative QTLs were significantly associated with AUDPC, %DLA and SES ratings, while three QTLs were associated with AUDPC alone. Although AUDPC is the most-difficult and labor-intensive method of estimating disease resistance, it also appears to be the most comprehensive.…”

Section: Qtl Locationsmentioning

confidence: 99%

Mapping QTLs for field resistance to the rice blast pathogen and evaluating their individual and combined utility in improved varieties

Tabien

Paterson

et al. 2002

Theor Appl Genet

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Lines from a Lemont x Teqing recombinant inbred population were evaluated for dilatory resistance to rice blast disease using: (1) the Standard Evaluation System (SES) for rating leaf blast, (2) the percentage diseased leaf area (%DLA), and (3) the area under a disease progress curve (AUDPC). RFLP mapping using 175 well-distributed loci revealed nine QTLs, one each on chromosomes 1, 2, 3, 4, 6, 7 and 9, with two loci on chromosome 12. All nine putative QTLs were associated with AUDPC, six with both a %DLA and a SES rating. Teqing contributed the resistance allele for all these loci except for the one located on chromosome 4. Individual QTLs accounted for 5-32% of the observed phenotypic variation, and combined QTL models accounted for 43-53%. Three QTLs were located near three of the four major resistance genes previously identified in this population. The resistances of both Lemont and Teqing were attributable to a combination of both major genes capable of inducing hypersensitive reactions and minor genes causing less-distinctive phenotypic differences. Interactions were noted between QTLs and major genes. Our findings are in support of the strategy of pyramiding major genes and QTLs in carefully selected combinations to develop improved varieties with resistance to the blast fungus that is both broad in spectrum and durable.

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High Resolution Mapping of the/ndica-Derived Rice Blast Resistance Genes. I.Pi-b

Cited by 46 publications

References 0 publications

Screening of the Dominant Rice Blast Resistance Genes with PCR-based SNP and CAPS Marker in Aromatic Rice Germplasm

Screening of the Dominant Rice Blast Resistance Genes with PCR-based SNP and CAPS Marker in Aromatic Rice Germplasm

High resolution genetic mapping and candidate gene identification at the xa5 locus for bacterial blight resistance in rice (Oryza sativa L.)

Mapping QTLs for field resistance to the rice blast pathogen and evaluating their individual and combined utility in improved varieties

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