Assessing Genetic Variation and Relationships among a Mini Core Germplasm of Sesame (&amp;lt;i&amp;gt;Sesamum indicum&amp;lt;/i&amp;gt; L.) Using Biochemical and RAPD Markers

Quenum, Florent Jean-Baptiste; Yan, Qi-chuan

doi:10.4236/ajps.2017.83022

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…Our findings exposed a limited level of diversity between the studied sesame genotypes. These findings agreed with Quenum et al ( Quenum and Yan, 2017 ), who exhibited a small level of intraspecific variability for seed protein between Sesame. Contrary, Nisar et al ( Nisar et al, 2007 ) showed a high level of intraspecific variability for seed protein between local and exotic chickpea germplasm.…”

Section: Discussionsupporting

confidence: 93%

Genetic diversity using biochemical, physiological, karyological and molecular markers of Sesamum indicum L

ALshamrani

Safhi²,

Alshaya³

et al. 2022

Front. Genet.

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The genetic diversity and the relationships among sesame cultivars were investigated using physiological and cyto/molecular analysis. To our information, no studies have yet been conducted on the genetic evaluation of sesame genotypes based on cyto/molecular analysis in Saudi Arabia. This study showed that genotype Bah-312 had the highest values from physiological and biochemical traits (plant height, harvest index, total plant dry matter, seed yield, oil content, and fatty acids content). Using 20 ISSR and 25 SCoT primers, the studied genotypes amplified 233 and 275 alleles, while the average polymorphism percentage (P%) was 65.32% (ISSR) and 77.8% (SCoT) across all the studied genotypes, respectively. To assess the markers efficiency analysis the polymorphism information contents (PIC), Marker Index (MI), Effective Multiplex Ratio (EMR), Resolving Power (Rp) were estimated. In general, primers (ISSR 2 & SCoT 21) and (ISSR 4 & SCoT 3) revealed the highest and lowest values for P %, PIC, MI, and EMR%. Furthermore, 188 positive and negative unique bands were detected, out of which ISSR generated 84, while 104 were amplified by SCoT analysis. In this regard, genotype Bah-312 generated 41 unique amplicons, and Jiz-511 genotype 23 unique amplicons. In the same context, the population genetics parameters, number of different alleles (Na), number of effective alleles (Ne), Shannon’s index (I), expected heterozygosity (He), and Unbiased Expected Heterozygosity (uHe), were calculated. ISSR marker showed the highest values for all the estimated parameters. In this regard, genotype Bah-312 exhibited the highest values (1.35, 1.37, 0.31, 0.21, 0.29) & (1.31, 1.35, 0.30, 0.20, 0.27) while, genotype Ahs-670 revealed the least values (1.29, 1.31, 0.26, 0.16, 0.23) &(1.14, 1.26, 0.22, 0.15, 0.20) for ISSR and SCoT markers respectively. For cytological data, according to the highest asymmetry index (AsK%) and lowest total form percentage (TF%) values, genotype Ahs-670 was the most advanced cultivar, and genotype Bah-312 was the most primitive one. According to the degree of asymmetry of karyotype (A) and intrachromosomal asymmetry index (A1), sesame genotype Ahs-670 was the most asymmetrical, and Bah-312 was the most symmetrical genotype. This study gives some helpful information about the genetic diversity of six sesame landraces. The variation harbored by these landraces could be used in sesame breeding programs.

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Section: Discussionsupporting

confidence: 93%

Genetic diversity using biochemical, physiological, karyological and molecular markers of Sesamum indicum L

ALshamrani

Safhi²,

Alshaya³

et al. 2022

Front. Genet.

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“…In our present study, the clustering pattern showed that 15 accessions are grouped into 3 to 5 clusters based on the scores of first six principal components (PCs) derived from six seed traits, revealing geographical diversity which is not strongly related to genetic diversity. This absence of relationship between genetic diversity and geographical distribution is in accordance with the findings of our previous works in sesame using agro-morphological and molecular markers (Quenum et al, 2004;Quenum and Yan, 2017). Similar results were reported by Kaushik et al, (2007b), Rao et al, (2008), Gohil and Pandya (2008) in Jatropha curcas; and Kaushik et al (2007a) in Pongamia pinnata.…”

Section: Morphological Diversity Of Seeds and Their Relationshipssupporting

confidence: 92%

Analysis of a Mini Core of Sesame (Sesamum indicum L.) Accessions Based on Seed Morphometric Data

Jean-Baptiste¹

2017

JAS

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Seed morphometric parameters (seed area, length, diameter, circumference, roundness and aspect ratio) of 15 accessions were analysed. Measurements on seeds were taken with help of a Computer-Camera system. Variation among accessions and genetic relationships were estimated. Great variability was observed for all parameters studied. High positive or negative correlation (r=0.726-0.963) was showed by Pearson's correlation analysis for the seed metric data of the 15 accessions. The cluster analysis revealed that the 15 accessions could be grouped into three to five clusters according to the methods (Single or Complete Linkage) used. The principal components analysis showed that the first two components accounted for 99.3% of the variability. Morphometric characterization of seeds is rapid, reproducible, reliable and cost effective. This technique of digital imaging is strongly recommended for researchers from developing country like Benin, because of its efficiency.

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“…The genetic similarity coefficient observed in this study, 0.58 -0.92 in the case of RAPD; 0.78 -0.95 in the case of ISSR and 0.72-0.94 in case of pooled data of RAPD and ISSR. These results are confirmed by Dar et al (2017) reported that the similarity coefficient of RAPD ranged from 0.51 to 0.88, and ranged from 0.34 to 0.89 between 15 sesame accessions by Quenum and Yan (2017). Whilst, our results were high compared with previous studies by Parsaeian et al (2011) in which the coefficient of similarities ranged from 0.09 to 0.55.…”

Section: Molecular Analysissupporting

confidence: 88%

Possibility of Combining High Yield and Resistance to Fusarium Wilt Disease Using Molecular Markers in 4 Élite Sesame Lines

Anter¹,

Ghada²

2021

Turkish Journal of Field Crops

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Developing a high yielding variety connected with stress-resistant in sesame is a viable option to address the adverse effects of climate change. The objectives of this study were to identify high-yielding and to detect some molecular markers associated with Fusarium wilt resistance in sesame. Five genotypes were evaluated based on seed yield ha -1 over three growing seasons (2016-2018) at two sites, Al-Nubaria (2016-2018) and Abu-Hammad (2016) in Egypt. Twenty RAPD and five ISSR primers used to detect some markers linked to Fusarium wilt resistance. Genotypes and environments and interaction between them showed high significant variation (p<0.05) for seed yield ha -1 . The mean performance of the lines C1.5, C3.8, C6.3, and C1.6, for seed yield ha -1 were higher than check variety by 3.4, 2.8, 0.5 and, 16.7%. Line C1.6 achieved less value of the standard deviation of ranks, based on seed yield ha -1 , through environments, indicating that it was less affected by environmental conditions. Molecular marker analysis revealed eight markers linked to Fusarium wilt resistance, they are seven positive markers (five RAPD and two ISSR) which were found in the line C3.8 and absent in the check variety. Finally, both C1.6 and C3.8 offering prospects to form new varieties sesame having high-yield and Fusarium wilt disease resistance.

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Assessing Genetic Variation and Relationships among a Mini Core Germplasm of Sesame (<i>Sesamum indicum</i> L.) Using Biochemical and RAPD Markers

Cited by 7 publications

References 16 publications

Genetic diversity using biochemical, physiological, karyological and molecular markers of Sesamum indicum L

Genetic diversity using biochemical, physiological, karyological and molecular markers of Sesamum indicum L

Analysis of a Mini Core of Sesame (Sesamum indicum L.) Accessions Based on Seed Morphometric Data

Possibility of Combining High Yield and Resistance to Fusarium Wilt Disease Using Molecular Markers in 4 Élite Sesame Lines

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