"Perfect" markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat

Ellis, Marc H.; Spielmeyer, Wolfgang; Gale, K. R.; Rebetzke, G. J.; Richards, R. A.

doi:10.1007/s00122-002-1048-4

Cited by 447 publications

(314 citation statements)

References 7 publications

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“…The associations between the candidate markers and plant height detected in this study were also detected in the previous linkage mapping. Four loci (Xwmc112-2D, Xcfd23-2D, Xgwm133-2D and Xgwm192-2D) detected to associate with PH m and PH 4 , were located in a region near the centromere of chromosome 2D, where QTL for the plant height was already detected in the previous studies (Cadalen et al 1998;Ellis et al 2002;McCartney et al 2005). Loci Xgwm513-4B, Xgwm495-4B, Xgwm349-4B and Xbarc109-4B were located in a region covering 18.5 cM on chromosome 4B.…”

Section: Discussionmentioning

confidence: 93%

Association mapping of dynamic developmental plant height in common wheat

Zhang

Hao

Ren

et al. 2011

Planta

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Drought as a major abiotic stress often occurs from stem elongation to the grain filling stage of wheat in northern China. Plant height (PH) is a suitable trait to model the dissection of drought tolerance. The purposes of the present study were to validate molecular markers for PH developmental behavior and identify elite alleles of molecular markers. After the phenotyping of 154 accessions for PH dynamic development under well-watered (WW) and drought stressed (DS) conditions, and the genotyping of 60 SSR markers from six candidate chromosome regions related to PH found in our previous linkage mapping studies, both parameters PH and drought tolerance coefficient (DTC) calculated by the conditional analysis were used for association mapping. A total of 46 significant association signals (P < 0.01) were identified in 23 markers, and phenotypic variation ranged from 7 to 50%. Among them, four markers Xgwm261-2D, Xgwm495-4B, Xbarc109-4B and Xcfd23-4D were detected under both water regimes. Furthermore, 10 markers were associated with DTC, and four with both parameters PH and DTC at the same plant development stage. The results revealed different allelic effects of associated markers; for example, the 155 bp Xgwm495-4B allele was associated with a reduced height of -11.2 cm under DS and -15.3 cm under WW, whereas the 167 bp allele exhibited increased height effects of 3.9 and 8.1 cm, respectively. This study demonstrates a strong power of joint association analysis and linkage mapping for the identification of important genes in wheat.

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Section: Discussionmentioning

confidence: 93%

Association mapping of dynamic developmental plant height in common wheat

Zhang

Hao

Ren

et al. 2011

Planta

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“…The semi-dwarfing genes Rht-B1b (Rht1) and Rht-D1b (Rht2) widely present in commercial cultivars reduce plant height, increase harvest index, and improve lodging resistance, and consequently increase grain yield. Functional markers for the two genes were developed and used for discrimination of semi-dwarf (Rht-B1b and Rht-D1b) and wild-type alleles (Rht-B1a and Rht-D1a) (Ellis et al 2002;Zhang et al 2006). However, the PCR conditions are very stringent for the FMs of Rht-B1 and Rht-D1, in which Hotstar Taq DNA polymerase needs to be used for a reliable PCR amplification (Ellis et al 2002).…”

Section: Functional Markers For Agronomic Traitsmentioning

confidence: 99%

“…Functional markers for the two genes were developed and used for discrimination of semi-dwarf (Rht-B1b and Rht-D1b) and wild-type alleles (Rht-B1a and Rht-D1a) (Ellis et al 2002;Zhang et al 2006). However, the PCR conditions are very stringent for the FMs of Rht-B1 and Rht-D1, in which Hotstar Taq DNA polymerase needs to be used for a reliable PCR amplification (Ellis et al 2002). This will limit the use of these markers in breeding due to high costs (Bagge and Lübberstedt 2008).…”

Section: Functional Markers For Agronomic Traitsmentioning

confidence: 99%

Functional markers in wheat: current status and future prospects

et al. 2012

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Functional markers (FM) are developed from sequence polymorphisms present in allelic variants of a functional gene at a locus. FMs accurately discriminate alleles of a targeted gene, and are ideal molecular markers for marker-assisted selection in wheat breeding. In this paper, we summarize FMs developed and used in common wheat. To date, more than 30 wheat loci associated with processing quality, agronomic traits, and disease resistance, have been cloned, and 97 FMs were developed to identify 93 alleles based on the sequences of those genes. A general approach is described for isolation of wheat genes and development of FMs based on in silico cloning and comparative genomics. The divergence of DNA sequences of different alleles that affect gene function is summarized. In addition, 14 molecular markers specific for alien genes introduced from common wheat relatives were also described. This paper provides updated information on all FMs and gene-specific STS markers developed so far in wheat and should facilitate their application in wheat breeding programs.

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“…In wheat, some important genes, such as Rht1, Rht2 (linked to dwarfing, Peng et al 1999) and puroindoline b (linked to grain texture, Giroux and Morris 1997), have been found to contain SNPs. Some allele-specific (AS) PCR markers have been applied to detect specific alleles at these loci based on the SNPs Ellis et al 2002). The rapid development of databases of wheat gene sequences and expressed sequence tags (ESTs) provides the opportunity to identify SNPs and InDels using existing sequence information.…”

Section: Introductionmentioning

confidence: 99%

Identification of SNPs and development of allele-specific PCR markers for γ-gliadin alleles in Triticum aestivum

Zhang

Gianibelli

et al. 2003

Theor Appl Genet

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The coding regions of 28 entries of hexaploid wheat gamma-gliadin genes, gene fragments or pseudogenes in GenBank were used for nucleotide alignment. These sequences could be divided into nine subgroups based on nucleotide variation. The chromosomal locations of five of the seven unassigned subgroups were identified through subgroup-specific polymerase chain reactions (PCR) using Chinese Spring group-1 nulli-tetrasomic lines. Multiple single nucleotide polymorphisms (SNPs) and small insertions/deletions were identified in each subgroup. With further mining from wheat expressed sequence tag databases and targeted DNA sequencing, two SNPs were confirmed and one SNP was discovered for genes at the Gli-A1, Gli-B1 and Gli-D1 loci. A modified allele-specific PCR procedure for assaying SNPs was used to generate dominant DNA markers based on these three SNPs. For each of these three SNPs, two allele-specific primer sets were used to test Chinese Spring and 52 commercial Australian wheat varieties representing a range of low-molecular-weight (LMW) alleles. PCR results indicated that all were positive with one of the primer sets and negative with the other, with the exception of three varieties containing the 1BL/1RS chromosomal translocation that were negative for both. Furthermore, markers GliA1.1, GliB1.1 and GliD1.1 were found to be correlated with Glu-A3 a, b or c, Glu-B3 b, c, d or e and Glu-D3 a, b or e LMW glutenin alleles, respectively. Markers GliA1.2, GliB1.2 and GliD1.2 were found to be correlated with the Glu-A3 d or e, Glu-B3 a, g or h and Glu-D3 c alleles, respectively. These results indicated that the gamma-gliadin SNP markers could be used for detecting linked LMW glutenin subunit alleles that are important in determining the quality attributes of wheat products.

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"Perfect" markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat

Cited by 447 publications

References 7 publications

Association mapping of dynamic developmental plant height in common wheat

Association mapping of dynamic developmental plant height in common wheat

Functional markers in wheat: current status and future prospects

Identification of SNPs and development of allele-specific PCR markers for γ-gliadin alleles in Triticum aestivum

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