Estimation of genetic diversity using SSR markers in sunflower

Zia, Zain; Sadaqat, Hafeez Ahmad; Tahir, Mukkram Ali; Sadia, Bushra; Bushman, B. Shaun; Hole, David; Michaels, Laura; Malik, Waqas

doi:10.1134/s1022795414050147

Cited by 13 publications

(4 citation statements)

References 38 publications

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“…Low dissimilarity indices were recorded between COSF 15B vs COSF 12B (0.30) followed by COSF 12B vs CMS 104B (0.31), COSF 12B vs COSF 13B (0.37) and RCR CMS 38B vs LTRR 341(0.40) which indicated less divergence between them. Similar results were reported by various scientists(Zia et al, 2014;Zeinalzadeh- Tabrizi et al, 2018;Yihan et al, 2022; Ahmed et al, 2022) in sunflower.…”

supporting

confidence: 88%

“…The number of bands produced per primer ranged from 1 to 6 with an average of 2.88 alleles. The Polymorphic Information Content (PIC) values ranged from 0.12 (ORS1198 in LG5) to 0.74 (ORS384 in LG15) with an average PIC of 0.51 (Zia et al, 2014;Zeinalzadeh-Tabrizi et al, 2018). The monomorphic markers (ORS762 in LG8; ORS1130 in LG10) had zero PIC values.…”

Section: Resultsmentioning

confidence: 99%

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Association between molecular diversity and hybrid performance in sunflower (Helianthus annuus L.)

2023

EJPB

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The present study was aimed to assess the molecular genetic diversity in 14 parental lines (10 maintainers and 4 restorers) of sunflower crop using 51 SSR markers. A total of 147 alleles were produced with the range of 1-6 alleles per locus. The polymorphic information content (PIC) values ranged from 0.12(ORS1198 in LG5) to 0.74(ORS384 in LG15) with an average PIC of 0.51. A phylogenetic tree was constructed by neighbour-joining method which grouped the parents into four clusters. Among the maintainer and restorer combinations, the dissimilarity index was maximum between CMS 519B and CSFI 99 (0.67) which indicateed high divergence between them. Lower dissimilarity value was observed between RCR CMS 38B and LTRR 341 (0.40) suggested less divergence between them. Mahalanobis D 2 analysis was also carried out among the parental lines. The D 2 analysis grouped the parental lines into six clusters. Among them genotype pairs CMS104B vs RHA 1-1 and CSFI 99 vs LTRR341 had highest and lowest D 2 values respectively. Dissimilarity and D 2 values for parental combinations, mean performance, mid and better parental heterosis of 40 hybrids for yield and its component traits were subjected to simple correlation analysis. The D 2 analysis did not show any association with performance of hybrids. However, the dissimilarity values showed association with hybrid performance and heterosis for plant height and volume weight. Hence, the present study indicated that the selection of parental genotypes with high molecular diversity could result in improved performance of plant height and volume weight in sunflower hybrids. However further study is required with multi environment data sets.

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confidence: 88%

Section: Resultsmentioning

confidence: 99%

Association between molecular diversity and hybrid performance in sunflower (Helianthus annuus L.)

2023

EJPB

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“…Various previous researchers who used SSR markers for sunflower characterization at molecular data also found that sunflower lines had a clear tendency of grouping restorer and CMS lines into different clusters. For examining the genetic diversity in sunflower SSR, markers are a powerful as it reveals high level of polymorphism among sunflower lines (Lochner, 2011 ; Zia et al, 2014 ; Suresha et al, 2017 ; Ijaz et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

et al. 2022

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Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers.

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“…The genetic diversity within the genotypes of mungbean based on the morphological trait is comparatively low because it is predominantly self-pollinating (Sudha, 2009). Recently DNA markers such as SSRs have been preferred in this crop for the analysis of genetic diversity because SSR markers are locus-specific, widely dispersed throughout the genome, highly polymorphic due to variation in repeat units, highly 1 SSR-marker Assisted Evaluation of Genetic Diversity in Greengram [Vigna radiata (L.) Wilcezk] informative because of co-dominant nature, high reproducibility and ease of assay by PCR (Powell et al, 1996;Kuleung et al, 2004;Liu et al, 2013;Zia et al, 2014;Chen et al, 2015). The present study was thus undertaken to study the genetic diversity among mutants of greengram at the molecular level using SSR markers.…”

Section: Introductionmentioning

confidence: 99%

SSR-marker Assisted Evaluation of Genetic Diversity in Greengram [Vigna radiata (L.) Wilcezk]

Das,

Baisakh

2023

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Background: Assessing genetic diversity in greengram is a prerequisite for its genetic improvement for yield and quality. DNA markers such as simple sequence repeats (SSRs) have been preferred in this crop for the analysis of genetic diversity because SSR markers are locus-specific, widely dispersed throughout the genome, highly polymorphic due to variation in repeat units, highly informative because of co-dominant nature, high reproducibility and ease of assay by PCR (Polymerase chain reaction). The current study aimed to study the genetic diversity among the mutants of greengram at the molecular level using SSR markers. Methods: In this study, twenty-five SSR markers were used to analyze the genetic diversity amongst twenty mutant genotypes of greengram along with their parents. Genomic DNA was isolated from the leaves by using the standard CTAB DNA extraction method. Then DNA purification and PCR amplifications were carried out. The genetic variability and diversity among genotypes was examined by assessing the scoring of the amplified bands by SSR -PCR amplification. Result: Seventeen SSR primers generated 102 polymorphic bands with an average of the six polymorphic bands per primer. The number of alleles per locus ranged from four to nine. The size of amplification product varied for each primer and the range found to be 100bp to 2000bp. The mean polymorphic information content (PIC) value for SSR markers was found to be 0.6335. The value of Jaccard’s similarity coefficient had ranged from 0.07-0.70 with an average value of 0.38. The dendrogram constructed on SSR molecular markers data through the unweighted pair group method with arithmetic averages (UPGMA) method had enabled grouping of the genotypes into thirteen clusters. The results indicate the usefulness of SSR markers in the assessment of genetic variability and diversity among the mutant genotypes of greengram.

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Estimation of genetic diversity using SSR markers in sunflower

Cited by 13 publications

References 38 publications

Association between molecular diversity and hybrid performance in sunflower (Helianthus annuus L.)

Association between molecular diversity and hybrid performance in sunflower (Helianthus annuus L.)

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

SSR-marker Assisted Evaluation of Genetic Diversity in Greengram [Vigna radiata (L.) Wilcezk]

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