Mapping multiple disease resistance genes using a barley mapping population evaluated in Peru, Mexico, and the USA

Rossi, Cláudio Nazaretian; Cuesta‐Marcos, Alfonso; Vales, I.; Gómez-Pando, Luz Rayda; Orjeda, Gisella; Wise, Roger P.; Sato, Kazuhiro; Hori, Kiyosumi; Capettini, Flávio; Vivar, H.; Chen, X.; Hayes, Patrick

doi:10.1007/s11032-006-9043-0

Cited by 27 publications

(18 citation statements)

References 31 publications

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“…Breeding programs have started using markers for the HTAP resistance QTL identified in Alpowa, Express, Stephens and Louise. Similarly, barley breeding programs have been using markers for the HTAP QTL in Bancroft [49] and those developed in Oregon State University for quantitative resistance to stripe rust on barley chromosomes 3H and 5H [101,102], presumably HTAP resistance. Molecular markers are even more useful for pyramiding HTAP QTL to achieve high levels of resistance.…”

Section: Molecular Mapping Of Genes For Htap Resistance and Marker-asmentioning

confidence: 99%

Review Article: High-Temperature Adult-Plant Resistance, Key for Sustainable Control of Stripe Rust

Chen¹

2013

AJPS

297

273

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High-temperature adult-plant (HTAP) resistance expresses when plants grow old and the weather becomes warm. This non-race specific and durable type of resistance has been used successfully in control of wheat stripe rust in the US since early 1960s. This article describes practical procedures for identification and characterization of HTAP resistance and reviews recent studies on discovery of genes conferring HTAP resistance. Recent studies providing insights to the molecular basis for the durability of HTAP resistance will be presented. Strategies for improving levels of HTAP resistance and improving control of stripe rust through combining HTAP resistance with effective all-stage resistance will be discussed.

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Section: Molecular Mapping Of Genes For Htap Resistance and Marker-asmentioning

confidence: 99%

Review Article: High-Temperature Adult-Plant Resistance, Key for Sustainable Control of Stripe Rust

Chen¹

2013

AJPS

297

273

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“…Each locus has a unique profile, with some loci contributing broadspectrum protection against diverse pathogen species and strains. Investigating these intricacies offers the opportunity to understand the diverse ways in which plants defend themselves against microbial assault.Correlated responses to multiple diseases have been observed in various germplasm panels, implying that there are loci and genes that condition broad-spectrum resistance (Rossi et al 2006;Gurung et al 2009;Wisser et al 2011). At the chromosomal segment level, disease and insect resistance loci colocalize in a nonrandom fashion (McMullen and Simcox 1995;Williams 2003;Wisser et al 2005) and loci have been identified that confer resistance to diverse pathogen isolates and taxa (Zwonitzer et al 2010;Chung et al 2011;Belcher et al 2012).…”

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confidence: 99%

Unraveling Genomic Complexity at a Quantitative Disease Resistance Locus in Maize

et al. 2014

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Multiple disease resistance has important implications for plant fitness, given the selection pressure that many pathogens exert directly on natural plant populations and indirectly via crop improvement programs. Evidence of a locus conditioning resistance to multiple pathogens was found in bin 1.06 of the maize genome with the allele from inbred line "Tx303" conditioning quantitative resistance to northern leaf blight (NLB) and qualitative resistance to Stewart's wilt. To dissect the genetic basis of resistance in this region and to refine candidate gene hypotheses, we mapped resistance to the two diseases. Both resistance phenotypes were localized to overlapping regions, with the Stewart's wilt interval refined to a 95.9-kb segment containing three genes and the NLB interval to a 3.60-Mb segment containing 117 genes. Regions of the introgression showed little to no recombination, suggesting structural differences between the inbred lines Tx303 and "B73," the parents of the fine-mapping population. We examined copy number variation across the region using next-generation sequencing data, and found large variation in read depth in Tx303 across the region relative to the reference genome of B73. In the fine-mapping region, association mapping for NLB implicated candidate genes, including a putative zinc finger and pan1. We tested mutant alleles and found that pan1 is a susceptibility gene for NLB and Stewart's wilt. Our data strongly suggest that structural variation plays an important role in resistance conditioned by this region, and pan1, a gene conditioning susceptibility for NLB, may underlie the QTL.T HE genes and loci that influence host-pathogen interactions vary in allele effects, specificities, and linkage relationships. While disease resistance can be conditioned by single genes with large effect (Bent 1996;Jones and Dangl 2006), the emerging model of resistance for many plant diseases is complex in nature, with many genes and loci functioning in concert and each contributing a small proportion of the total phenotypic variation Poland et al. 2011;Cook et al. 2012b). Each locus has a unique profile, with some loci contributing broadspectrum protection against diverse pathogen species and strains. Investigating these intricacies offers the opportunity to understand the diverse ways in which plants defend themselves against microbial assault.Correlated responses to multiple diseases have been observed in various germplasm panels, implying that there are loci and genes that condition broad-spectrum resistance (Rossi et al. 2006;Gurung et al. 2009;Wisser et al. 2011). At the chromosomal segment level, disease and insect resistance loci colocalize in a nonrandom fashion (McMullen and Simcox 1995;Williams 2003;Wisser et al. 2005) and loci have been identified that confer resistance to diverse pathogen isolates and taxa (Zwonitzer et al. 2010;Chung et al. 2011;Belcher et al. 2012). There is evidence to suggest that gene clusters can confer resistance to more than one disease. A cluster of germin-like ...

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“…In this study, a randomly selected sample of 100 lines was used, together with the linkage map developed by Vales et al. (2005) and Rossi et al. (2006).…”

Section: Methodsmentioning

confidence: 99%

Transgressive segregation for phenological traits in barley explained by two major QTL alleles with additivity

et al. 2008

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Quantitative trait loci (QTL) analysis can contribute to a deeper understanding of crop phenology. The parents of a barley mapping population have similar growth and development profiles, but the progeny show transgressive segregation for phenological traits. These phenotypes were measured in eight field experiments, using different planting dates over 3 years. Five QTL, on four chromosomes, were detected for anthesis date. The four maturity QTL were on the same chromosomes as the anthesis QTL. Five QTL for grain filling were detected on all chromosomes. Three QTL, on chromosomes 1H and 2H, were detected for photoperiod sensitivity. Both parents contributed higher value alleles for all traits, except for photoperiod sensitivity. QTL epistasis was not significant. Two QTL explained most of the phenotypic variation for anthesis and physiological maturity. Non-parental combinations of alleles at these loci account for the phenotypic transgressive segregation. Candidate genes for these QTL effects are eps2S (2H) and denso (3H). QTL for other traits had smaller effects and were coincident with genes and/or QTL for the same traits reported in other germplasm.

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Mapping multiple disease resistance genes using a barley mapping population evaluated in Peru, Mexico, and the USA

Cited by 27 publications

References 31 publications

Review Article: High-Temperature Adult-Plant Resistance, Key for Sustainable Control of Stripe Rust

Review Article: High-Temperature Adult-Plant Resistance, Key for Sustainable Control of Stripe Rust

Unraveling Genomic Complexity at a Quantitative Disease Resistance Locus in Maize

Transgressive segregation for phenological traits in barley explained by two major QTL alleles with additivity

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