Application of two microsatellite sequences in wheat storage proteins as molecular markers

Devos, Katrien M.; Bryan, Glenn J.; Collins, Andrew J.; Stephenson, Pauline; Gale, M. D.

doi:10.1007/bf00222209

Cited by 187 publications

(97 citation statements)

References 15 publications

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“…We took advantage of microsatellite markers psp2999 and psp3000 present within the coding sequences of genes Glu-A3 and Gli-B1, respectively (Devos et al, 1995), to introgress different Glu-3/Gli-1 alleles into ProINTA Imperial and investigate their effects on gluten strength. We developed Near Isogenic Lines (NILs) through a program of six cycles of backcrossing to ProINTA Imperial (BC 6 ), self-pollination of heterozygous BC 6 plants and selection of homozygous BC 6 F 2 plants.…”

Section: Plant Materialsmentioning

confidence: 99%

“…Different Glu-3/Gli-1 alleles were introgressed into ProINTA Imperial taking advantage of microsatellite markers psp2999 and psp3000 present within the coding sequences of genes Glu-A3 and Gli-B1, respectively (Devos et al, 1995). A previous survey of Argentine wheat varieties (Manifesto et al, 2001) identified nine different alleles for psp2999 and psp3000 in the varieties 38 MA, Retac on INTA, Buck Poncho, Buck Manantial, Klein Toledo and Norkin Churrinche, which were selected as donor parents of new Glu-A3/Gli-A1 and Glu-B3/Gli-B1 alleles in this study (Table 1).…”

Section: Development Of Isogenic Linesmentioning

confidence: 99%

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Effect of allelic variation at the Glu-3/Gli-1 loci on breadmaking quality parameters in hexaploid wheat (Triticum aestivum L.)

Bonafede

Tranquilli

Pflüger

et al. 2015

Journal of Cereal Science

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a b s t r a c tLow molecular weight glutenin subunits (LMW-GS) encoded by the Glu-3 loci are known to contribute to wheat breadmaking quality. However, the specific effect of individual Glu-3 alleles is not well understood due to their complex protein banding patterns in SDS-PAGE and tight linkage with gliadins at the Gli-1 locus. Using DNA markers and a backcross program, we developed a set of nine near isogenic lines (NILs) including different Glu-A3/Gli-A1 or Glu-B3/Gli-B1 alleles in the genetic background of the Argentine variety ProINTA Imperial. The nine NILs and the control were evaluated in three different field trials in Argentina. Significant genotype-by-environment interactions were detected for most quality parameters indicating that the effects of the Glu-3/Gli-1 alleles are modulated by environmental differences. None of the NILs showed differences in total flour protein content, but relative changes in the abundance of particular classes of proteins cannot be ruled out. On average, the Glu-A3f, Glu-B3b, Glu-B3g and GluB3i Man alleles were associated with the highest values in gluten strength-related parameters, while GluA3e, Glu-B3a and Glu-B3i Chu were consistently associated with weak gluten and low quality values. The value of different Glu-3/Gli-1 allele combinations to improve breadmaking quality is discussed.

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Section: Plant Materialsmentioning

confidence: 99%

Section: Development Of Isogenic Linesmentioning

confidence: 99%

Effect of allelic variation at the Glu-3/Gli-1 loci on breadmaking quality parameters in hexaploid wheat (Triticum aestivum L.)

Bonafede

Tranquilli

Pflüger

et al. 2015

Journal of Cereal Science

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show abstract

“…This information would help breeders to incorporate useful genetic variation into adopted gene pools by selecting for marker alleles linked to loci controlling important agronomic or quality traits (Tanksley and McCouch 1997). Several authors have studied genetic diversity in wheat by using different molecular markers, such as microsatellite (Devos et al 1995;Bohn et al 1999;Donini et al 2000;Manifesto et al 2001;Christiansen et al 2002;Huang et al 2002;Dreisigacker et al 2004;Fufa et al 2005), amplified DNA fragment polymorphism markers (Schut et al 1997;Barrett et al 1998;Manifesto et al 2001), and random amplified polymorphic DNA markers (Joshi and Nguyen 1993). Microsatellite markers, also known as simple sequence repeats (SSR), have proved to be the most suitable molecular markers for studying genetic diversity in wheat because of its multi-allelic nature, chromosome specificity, high polymorphism, and distribution throughout the genomes (Röder et al 1998a(Röder et al , 1998b.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in the U.S. hard red winter wheat cultivars as revealed by microsatellite markers

Prasad¹,

Babar

et al. 2009

Crop Pasture Sci.

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Abstract. Knowledge of the genetic diversity existing in previously released hard red winter wheat (HRWW, Triticum aestivum L.) cultivars in the Great Plains region, United States, is essential for effective utilisation of these genetic resources in the various HRWW breeding programs. To ascertain a measure of the genetic diversity of the existing US HRWW, 60 cultivars were analysed with 62 microsatellite markers distributed throughout the wheat genome. Marker data were subjected to distance-based analysis and analysis of molecular variances. In total, 341 polymorphic alleles were scored with a range of 2-12 alleles per locus. Genetic diversity gradually increased in cultivars released after the 1970s. Cultivars released in the 1990s had the highest allelic richness (4.79), gene diversity (0.60), and polymorphic information content (0.56). Levels of genetic diversity were similar between the major HRWW breeding programs. Cluster analysis resulted in eight clusters. Cluster grouping gave close matches with pedigrees and with regional distribution of the cultivars. Using decadal information, cultivars released from 1900-1969 were grouped into one cluster, cultivars from 1990-2005 were grouped into a separate cluster, whereas cultivars from the 1980s did not group with any other decades. Analysis of molecular variance revealed a significant variation among the clusters, signifying that a true genetic variation existed among the clusters. The higher proportion of genetic variation explained by cultivars within clusters compared with among clusters indicates greater genetic diversity among cultivars within clusters. Our results indicate that genetic diversity of Great Plains HRWW cultivars has increased in the past century, and the trend is continuing.

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“…Microsatellites are commonly used to study genetic relationships between genotypes within species because of their high level of polymorphism (Devos et al 1995;Plaschke et al 1995;Korzun et al 1997). In addition, microsatellites exhibit a codominant inheritance (Hernández et al 2002), which is essential for effective discrimination between closely related lines (Akkaya et al 1992).…”

mentioning

confidence: 99%

Genetic resources of barley and oat characterised by microsatellites

Leišová¹,

Kučera²,

Dotlačil³

2007

Czech J. Genet. Plant Breed.

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Barley (Hordeum vulgare L.) and oat (avena sativa L.) are important crop species. 1865 accessions of winter barley, 2707 accessions of spring barley and 1998 accessions of oat are maintained in RICP Gene bank. The expert core collection is used to be established as a tool for germplasm study, conservation of genetic variability and for the identification of useful genes. The main aim of this study was to evaluate genetic diversity of barley and oat genotypes within the expert core collections. Genetic variation of 176 barley accessions was analyzed using 26 microsatellite loci, covering all 6 chromosomes. 330 oat accessions were analyzed using 26 microsatellite loci that are mapped only into linkage groups. For 26 barley microsatellite loci, 328 alleles were detected. The average number of alleles per locus was 12.6. In oat, for 26 oat microsatellite loci, 353 alleles were detected. The average number of alleles per locus was 13.6. The average DI (diversity index) was 0.11 in barley and 0.09 in oat. Dendrogram and PCA (Principal Component Analysis) based on microsatellite data showed a different influence of the place of origin, age of variety and pedigree on grouping into clusters. PCA showed that the breeding process had a negative impact on the level of genetic diversity and therefore there is a necessity of barley and oat germplasm conservation.

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Application of two microsatellite sequences in wheat storage proteins as molecular markers

Cited by 187 publications

References 15 publications

Effect of allelic variation at the Glu-3/Gli-1 loci on breadmaking quality parameters in hexaploid wheat (Triticum aestivum L.)

Effect of allelic variation at the Glu-3/Gli-1 loci on breadmaking quality parameters in hexaploid wheat (Triticum aestivum L.)

Genetic diversity in the U.S. hard red winter wheat cultivars as revealed by microsatellite markers

Genetic resources of barley and oat characterised by microsatellites

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