scholarly journals Genetic Variability and Population Structure of Ethiopian Sesame (Sesamum indicum L.) Germplasm Assessed through Phenotypic Traits and Simple Sequence Repeats Markers

Plants ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1129
Author(s):  
Desawi Hdru Teklu ◽  
Hussein Shimelis ◽  
Abush Tesfaye ◽  
Jacob Mashilo ◽  
Xiurong Zhang ◽  
...  
Keyword(s):  
Population Structure ◽  
Grain Yield ◽  
Ssr Markers ◽  
Sesamum Indicum ◽  
Oil Yield ◽  
Phenotypic Traits ◽  
Environment Interaction ◽  
Heterotic Groups ◽  
Improvement Programs ◽  
Simple Sequence

Ethiopia is one of the centers of genetic diversity of sesame (Sesamum indicum L.). The sesame genetic resources present in the country should be explored for local, regional, and international genetic improvement programs to design high-performing and market-preferred varieties. This study’s objective was to determine the extent of genetic variation among 100 diverse cultivated sesame germplasm collections of Ethiopia using phenotypic traits and simple sequence repeat (SSR) markers to select distinct and complementary genotypes for breeding. One hundred sesame entries were field evaluated at two locations in Ethiopia for agro-morphological traits and seed oil content using a 10 × 10 lattice design with two replications. Test genotypes were profiled using 27 polymorphic SSR markers at the Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences. Analysis of variance revealed significant (p ≤ 0.05) entry by environment interaction for plant height, internode length, number of secondary branches, and grain yield. Genotypes such as Hirhir Kebabo Hairless-9, Setit-3, Orofalc ACC-2, Hirhir Humera Sel-6, ABX = 2-01-2, and Setit-1 recorded grain yield of >0.73 ton ha−1 with excellent performance in yield component such as oil yield per hectare. Grain yield had positive and significant (p < 0.01) associations with oil yield (r = 0.99), useful for simultaneous selection for yield improvement in sesame. The SSR markers revealed gene diversity and polymorphic information content values of 0.30 and 0.25, respectively, showing that the tested sesame accessions were genetically diverse. Cluster analysis resolved the accessions into two groups, while population structure analysis revealed four major heterotic groups, thus enabling selection and subsequent crossing to develop breeding populations for cultivar development. Based on phenotypic and genomic divergence, the following superior and complementary genotypes: Hirhir Humera Sel-6, Setit-3, Hirhir Kebabo Hairless Sel-4, Hirhir Nigara 1st Sel-1, Humera-1 and Hirhir Kebabo Early Sel-1 (from cluster II-a), Hirhir kebabo hairless-9, NN-0029(2), NN0068-2 and Bawnji Fiyel Kolet, (from cluster II-b). The selected genotypes will serve as parents in the local breeding program in Ethiopia.

scholarly journals Genetic Variability and Population Structure of Ethiopian Sesame (Sesamum Indicum L.) Germplasm Assessed Through Phenotypic Traits and Simple Sequence Repeats Markers

2021 ◽  
Author(s):  
Desawi Hdru Teklu ◽  
Hussein Shimelis ◽  
Abush Tesfaye ◽  
Jacob Mashilo ◽  
Xiurong Zhang ◽  
...  
Keyword(s):  
Population Structure ◽  
Genetic Resources ◽  
Ssr Markers ◽  
Seed Yield ◽  
Sesamum Indicum ◽  
Phenotypic Traits ◽  
Environment Interaction ◽  
Heterotic Groups ◽  
Improvement Programs ◽  
Simple Sequence

Abstract Background Ethiopia is one of the centres of genetic diversity of sesame (Sesamum indicum L.). The sesame genetic resources present in the country should be explored for local, regional and international sesame improvement programs to design high performing and market preferred varieties. This study's objectives were to determine the extent of genetic variation among 100 diverse cultivated sesame germplasm collections of Ethiopia using phenotypic traits and simple sequence repeat (SSR) markers to select distinct and complementary specimens for breeding. One-hundred sesame entries were field evaluated at two locations in Ethiopia for agro-morphological traits and seed oil content using a 10 × 10 lattice design with two replications. Test specimens were profiled using 27 selected polymorphic SSR markers. Results The analysis of variance revealed significant (P ≤ 0.05) entry by environment interaction for plant height, internode length, number of secondary branches, and seed yield. Genotypes such as Hirhir Kebabo Hairless-9, Setit-3, Orofalc ACC-2, Hirhir Humera Sel-6, ABX=2-01-2, and Setit-1 recorded higher grain yield of > 0.73 ton ha-1 with excellent performance in yield component such as oil and seed yield per hectare. Seed yield had positive and significant (p < 0.01) associations with oil yield (r = 0.99) useful for simultaneous selection for yield improvement in sesame. The SSR markers revealed gene diversity and polymorphic information content of 0.30 and 0.25, respectively, showing that the tested sesame accessions were genetically diverse. Cluster analysis resolved the accessions into two groups, while population structure analysis revealed four major heterotic groups, this enabling selection and subsequent crosses to develop breeding populations for cultivar development.Conclusions Based on phenotypic and genomic divergence, the following complementary specimens were selected: Hirhir Humera Sel-6, Setit-3, Hirhir Kebabo Hairless Sel-4, Hirhir Nigara 1st Sel-1, Humera-1 and Hirhir Kebabo Early Sel-1 (from cluster II-a), Hirhir kebabo hairless-9, NN-0029(2), NN0068-2 and Bawnji Fiyel Kolet, (from cluster II-b). The selected genetic resources are recommended for use in sesame production and breeding programs in Ethiopia.

Genetic Diversity and Population Structure of Germplasm Resources in Sesame (Sesamum indicum L.) by SSR Markers

2013 ◽  
Vol 38 (12) ◽  
pp. 2286-2296 ◽  
Author(s):  
Wen-Di YUE ◽  
Li-Bin WEI ◽  
Ti-De ZHANG ◽  
Chun LI ◽  
Hong-Mei MIAO ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Sesamum Indicum ◽  
Germplasm Resources

scholarly journals Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 656
Author(s):  
Evangelia Stavridou ◽  
Georgios Lagiotis ◽  
Parthena Kalaitzidou ◽  
Ioannis Grigoriadis ◽  
Irini Bosmali ◽  
...  
Keyword(s):  
Ssr Markers ◽  
Geographical Origin ◽  
Expressed Sequence Tag ◽  
Phenotypic Diversity ◽  
Molecular Data ◽  
Phenotypic Traits ◽  
Dissimilarity Matrix ◽  
Heterotic Groups ◽  
Hrm Analysis ◽  
Sesame Genotypes

A selection of sesame (Sesamum indicum L.) landraces of different eco-geographical origin and breeding history have been characterized using 28 qualitative morpho-physiological descriptors and seven expressed sequence tag-simple sequence repeat (EST-SSR) markers coupled with a high-resolution melting (HRM) analysis. The most variable qualitative traits that could efficiently discriminate landraces, as revealed by the correlation analyses, were the plant growth type and position of the branches, leaf blade width, stem pubescence, flowering initiation, capsule traits and seed coat texture. The agglomerative hierarchical clustering analysis based on a dissimilarity matrix highlighted three main groups among the sesame landraces. An EST-SSR marker analysis revealed an average polymorphism information content (PIC) value of 0.82, which indicated that the selected markers were highly polymorphic. A principal coordinate analysis and dendrogram reconstruction based on the molecular data classified the sesame genotypes into four major clades. Both the morpho-physiological and molecular analyses showed that landraces from the same geographical origin were not always grouped in the same cluster, forming heterotic groups; however, clustering patterns were observed for the Greek landraces. The selective breeding of such traits could be employed to unlock the bottleneck of local phenotypic diversity and create new cultivars with desirable traits.

scholarly journals Analysis of genetic diversity and population structure in Asparagus species using SSR markers

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Manish Kapoor ◽  
Pooja Mawal ◽  
Vikas Sharma ◽  
Raghbir Chand Gupta
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Mean Value ◽  
Discrete Groups ◽  
Base Pairs ◽  
High Genetic Diversity ◽  
Pharmaceutical Industries ◽  
Improvement Programs ◽  
Northwest India ◽  
Simple Sequence

Abstract Background Various Asparagus species constitute the significant vegetable and medicinal genetic resource throughout the world. Asparagus species serve as important commodity of food and pharmaceutical industries in India. A diverse collection of Asparagus species from different localities of Northwest India was investigated for its genetic diversity using simple sequence repeat (SSR) markers. Results Polymorphic SSR markers revealed high genetic diversity. Primer SSR-15 amplified maximum of 8 fragments while 3 primers, namely, SSR-43, SSR-63, and AGA1 amplified minimum of 3 fragments. Collectively, 122 alleles were amplified in a range between 3 and 8 with an average of 5 alleles per marker. The size of the amplified alleles ranged between 90 and 680 base pairs. Polymorphism information content (PIC) value varied from a highest value of 0.499 in primer AGA1 to a lowest value of 0.231 in primer SSR-63 with a mean value of 0.376 showing considerable SSR polymorphism. Dendrogram developed on the basis of Jaccard’s similarity coefficient and neighbor-joining tree segregated all the studied Asparagus species into two discrete groups. Structure analysis based on Bayesian clustering allocated different accessions to two independent clusters and exhibited low level of individual admixture. Conclusions The genetic diversity analysis showed a conservative genetic background for maximum species of asparagus. Only Accessions of Asparagus adscendens were split into two diverse clusters suggesting a wide genetic base of this species as compared to other species. Overall genetic diversity was high, and this germplasm of Asparagus can be used in future improvement programs. The findings of current research on Asparagus germplasm can make a momentous contribution to initiatives of interbreeding, conservation, and improvement of Asparagus in future.

scholarly journals Development of Simple Sequence Repeat (SSR) Markers of Sesame (Sesamum indicum) from a Genome Survey

Molecules ◽  
2014 ◽  
Vol 19 (4) ◽  
pp. 5150-5162 ◽  
Author(s):  
Xin Wei ◽  
Linhai Wang ◽  
Yanxin Zhang ◽  
Xiaoqiong Qi ◽  
Xiaoling Wang ◽  
...  
Keyword(s):  
Ssr Markers ◽  
Simple Sequence Repeat ◽  
Sesamum Indicum ◽  
Sequence Repeat ◽  
Genome Survey ◽  
A Genome ◽  
Simple Sequence

scholarly journals Efficient Fingerprinting of the Tetraploid Salix psammophila Using SSR Markers

Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 176
Author(s):  
Lei Hao ◽  
Yongguang Zhai ◽  
Guosheng Zhang ◽  
Dongye Lu ◽  
Haiguang Huang
Keyword(s):  
Ssr Markers ◽  
Intellectual Property Rights ◽  
Simple Sequence Repeat ◽  
Northwest China ◽  
Phenotypic Traits ◽  
Identification Rate ◽  
Desert Shrub ◽  
Marker Combination ◽  
Ssr Primers ◽  
Simple Sequence

Salix psammophila C. Wang et Ch. Y. Yang is an important desert shrub that is mainly distributed in northwest China, including the Mu Us sandland and Kubuqi desert. It plays a crucial role in vegetation rehabilitation and as a forestation plant. The traditional identification of its accessions based on phenotypic traits is usually unreliable. SSR (Simple Sequence Repeat) has the advantages of repeatability and codominant inheritance, and most species have had specific SSR primers developed for them already. Currently, there is no simple and rapid method used for identifying the tetraploid Salix psammophila with SSR markers. In this study, we construct fingerprints among 261 accessions of S. psammophila by screening of marker combinations. We identified a nine-marker combination which could completely distinguish each of the 261 accessions to their unique fingerprinting profiles. For this marker combination (G+I+J+N+O+Q+S+T+U), identification rate of combined markers (MC2) and total Polymorphism Information Content (PIC) were the highest, at 100% and 6.05, respectively. We used fingerprinting profiles with the nine-marker combination to produce two-dimensional barcodes, which could be screened rapidly and conveniently using a barcode scanned by a computer. The results of this study can provide an efficient genetic toolkit for identification, traceability management and protection of intellectual property rights of particular accessions of tetraploid S. psammophila.

Assessing heat stress tolerance and genetic diversity among exotic and Indian wheat genotypes using simple sequence repeats and agro-physiological traits

2015 ◽  
Vol 15 (3) ◽  
pp. 208-220 ◽  
Author(s):  
K. T. Ramya ◽  
Neelu Jain ◽  
Nikita Gandhi ◽  
Ajay Arora ◽  
P. K. Singh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Heat Stress ◽  
Stress Tolerance ◽  
Ssr Markers ◽  
Agronomic Traits ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Phenotypic Traits ◽  
Heat Stress Tolerance ◽  
Simple Sequence

Genetic diversity and relationship of 92 bread wheat (Triticum aestivum L.) genotypes from India and exotic collections were examined using simple sequence repeat (SSR) markers and phenotypic traits to identify new sources of diversity that could accelerate the development of improved wheat varieties better suited to meet the challenges posed by heat stress in India. Genetic diversity assessed by using 82 SSR markers was compared with diversity evaluated using five physiological and six agronomic traits under the heat stress condition. A total of 248 alleles were detected, with a range of two to eight alleles per locus. The average polymorphic information content value was 0.37, with a range of 0.04 (cfd9) to 0.68 (wmc339). The heat susceptibility index was determined for grain yield per spike, and the genotypes were grouped into four categories. Two dendrograms that were constructed based on phenotypic and molecular analysis using UPGMA (unweighted pair group method with arithmetic mean) were found to be topologically different. Genotypes characterized as highly heat tolerant were distributed among all the SSR-based cluster groups. This implies that the genetic basis of heat stress tolerance in these genotypes is different, thereby enabling wheat breeders to combine these diverse sources of genetic variability to improve heat tolerance in their breeding programmes.

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