An estimation of the minimum number of SSR loci needed to reveal genetic relationships in wheat varieties: Information from 96 random accessions with maximized genetic diversity

You, Guang-Xia; Zhang, X. Y.; Wang, L. F.

doi:10.1007/s11032-005-0285-z

Cited by 9 publications

(9 citation statements)

References 14 publications

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“…Similar type of results in wheat have already been reported by earlier eminent workers, Huang et al, (2002), Gupta et al, (2003), Kuleung et al, (2004), Nicot et al, (2004), You et al, (2004), Stodart et al, (2005), Hayden et al, (2006), Roy et al, (2006), Malik et al, (2008), Iqbal et al, (2009) and Yildirim et al, (2011). Table.4 Estimated Jaccard's similarity coefficient of 30 genotypes of wheat using SSR data…”

Section: Resultssupporting

confidence: 88%

Molecular Diversity of Wheat (Triticum aestivum L.) Genotypes Resistance to Rice Weevil (Sitophilus oryzae L.) Revealed by SSR Markers

Ahmad¹,

Badoni²,

Akhtar³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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The present investigation was carried out to analyse for the presence of α-amylase inhibitor gene which is responsible for resistance to rice weevil. A total of 30 simple sequence repeat (SSR) markers were used to study the genetic diversity among 30 wheat genotypes resistant to rice weevil. Among them, seventeen primers were found polymorphic on agarose gel and depicted the significant diversity among susceptible and resistant genotypes while rest thirteen primers were found monomorphic. The number of polymorphic bands per loci ranged from 1 to 3 with an average of 1.6 alleles per locus. A clear cut differentiation was exhibited among the genotypes. The average PIC value was 0.37 ranging from 0.17 (WMC120/ WMC76/WMC245) to 0.67 (WMC267), indicating diverse nature of the wheat genotypes and/or highly informative SSR markers used in this study. The analyzed wheat genotypes showed a good level of genetic variability for assessed quantitative, physio-chemical and molecular characters. Molecular markers linked with major genes for traits of interest which have been amplified by the primer set UCW108, a genic marker for GPC-B1. The range of similarity coefficient varied from 54% (PBN-51) to 74% (K 20). SAHN cluster analysis using UPGMA method separated the parental genotypes into four cluster groups, PBN 51 was positioned as single genotype in separate groups i.e., in cluster-I, K 50, K 76 and K 77 in cluster-II, K 2I and K 50 in cluster-III and K 20 in cluster-IV. In dendrogram, based on results of markers validated were able to diversify the resistant and susceptible parents, first group member PBN51 and fourth group member K20 found on the two distant groups, which were observed as most susceptible and resistant genotypes respectively, according to our controlled experiment on weevil infestation and molecular analysis done and hence, the study supports and correlates the result, obtained by these analysis. The present study also indicates that microsatellite markers able to access the genetic diversity among studied genotypes of wheat for weevil resistance.

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Section: Resultssupporting

confidence: 88%

Molecular Diversity of Wheat (Triticum aestivum L.) Genotypes Resistance to Rice Weevil (Sitophilus oryzae L.) Revealed by SSR Markers

Ahmad¹,

Badoni²,

Akhtar³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…A total of 691 polymorphic alleles detected in our study were enough to assess genetic relationships among barley landraces and cultivars. It was concluded that the presence of 350-550 alleles is enough for objective assessment of the genetic relationship between wheat accessions and it could be applicable for barley accessions as well 30,31 .…”

Section: Allelic Variation and Genetic Diversitymentioning

confidence: 99%

The influence of breeding history, origin and growth type on population structure of barley as revealed by SSR markers

Mohammadi

Sisi

Sadeghzadeh³

2020

Sci Rep

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Natural and mass selection during domestication and cultivation favored particular traits of interest in barley. In the present study, population structure, and genetic relationships among 144 accessions of barley landraces and breeding materials from various countries were studied using a set of 77 and 72 EST-SSR and gSSR markers, respectively distributed on seven chromosomes of barley. In total, 262 and 429 alleles were amplified in 77 EST-SSRs and 72 gSSR loci, respectively. Out of which, 185 private/group-specific alleles were identified in the landraces compared with 14 in "cultivar and advanced breeding lines", indicating the possibility to introgress favorite alleles from landraces into breeding materials. Comparative analysis of genetic variation among breeding materials, Iranian landraces, and exotic landraces revealed higher genetic diversity in Iranian landraces compared with others. A total of 37, 15, and 14 private/group-specific alleles were identified in Iranian landraces, exotic landraces, and breeding materials, respectively. The most likely groups for 144 barley genotypes were three as inferred using model- and distance-based clustering as well as principal coordinate analysis which assigned the landraces and breeding materials into separate groups. The distribution of alleles was found to be correlated with population structure, domestication history and eco-geographical factors. The high allelic richness in the studied set of barley genotype provides insights into the available diversity and allows the construction of core groups based on maximizing allelic diversity for use in barley breeding programs.

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“…WARBURTON et al (2002) showed in maize that a reduction from 85 to 53 SSR loci did not alter the dendrogram construction. For wheat, YOU et al (2004) calculated that 550 alleles (73 loci) were sufficient to construct a robust dendrogram with high certainty. The comparison between the two sets of SSR primers demonstrates that the quality of the primers is of even greater importance than their number per se.…”

Section: Comparison Of Marker Systemsmentioning

confidence: 99%

Comparative Analysis of Genetic Similarity between Perennial Ryegrass Genotypes Investigated With AFLPs, ISSRs, RAPDs and SSRs

Posselt¹,

Barré²,

Brazauskas³

et al. 2006

CZECH J GENET PLANT

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Perennial ryegrass (Lolium perenne L.) is the most important grass species used in temperate grassland agriculture. Our objective was to obtain an overview of the genetic relationships between 20 individual genotypes of perennial ryegrass of diverse origins, using amplified fragment length polymorphism (AFLP), inter-simple sequence repeat (ISSR), random amplified polymorphic DNA (RAPD) and two sets of simple sequence repeat (SSR) markers. All 20 individuals were uniquely fingerprinted by all four marker systems and comparisons were made on the basis of 85 markers each. Mean genetic similarities were estimated at 0.31, 0.43, 0.23 and 0.15 for AFLPs, ISSRs, RAPDs and SSRs, respectively. Cophenetic values resulted in good (AFLP and SSR-B = 0.88) to moderately good fits (ISSR = 0.76, RAPD = 0.70, and SSR-A = 0.79). Comparing the four marker systems to each other, AFLP and SSR-A were correlated best (r = 0.57). All other comparisons revealed rather low correlation coefficients in the Mantel Z test. With twice as many markers cophenetic values increased to a very good fit for AFLPs (0.90) and SSRs (0.92).

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An estimation of the minimum number of SSR loci needed to reveal genetic relationships in wheat varieties: Information from 96 random accessions with maximized genetic diversity

Cited by 9 publications

References 14 publications

Molecular Diversity of Wheat (Triticum aestivum L.) Genotypes Resistance to Rice Weevil (Sitophilus oryzae L.) Revealed by SSR Markers

Molecular Diversity of Wheat (Triticum aestivum L.) Genotypes Resistance to Rice Weevil (Sitophilus oryzae L.) Revealed by SSR Markers

The influence of breeding history, origin and growth type on population structure of barley as revealed by SSR markers

Comparative Analysis of Genetic Similarity between Perennial Ryegrass Genotypes Investigated With AFLPs, ISSRs, RAPDs and SSRs

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