Characterization of Simple Sequence Repeat (SSR) Markers and Genetic Relationships within Cultivated Peanut (Arachis hypogaea L.)

2011 ◽  
Vol 38 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Yan Li ◽  
Charles Y. Chen ◽  
Steve J. Knapp ◽  
Albert K. Culbreath ◽  
C. Corley Holbrook ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Arachis Hypogaea ◽  
Ssr Markers ◽  
Trinucleotide Repeat ◽  
Genetic Relationships ◽  
Genetic Distances ◽  
Repeat Motif ◽  
Shared Allele ◽  
Arachis Hypogaea L ◽  
Cultivated Peanut

Abstract A total of 709 SSR markers were collected from public databases and 556 SSRs passed an initial screen and were used to characterize 16 peanut (Arachis hypogaea) genotypes. PIC (polymorphism information content) scores and heterozygosity indices for each marker were calculated to assess the genetic diversity revealed by SSR markers and genetic distances were estimated from shared allele distances for construction of a cladogram by the Neighbor-Joining method to illustrate the genetic relationships among the genotypes. Two hundred thirty-five (42.27%) markers showed polymorphisms in these genotypes. The average heterozygosity estimated from these 556 SSRs was 0.225 with a range of 0 to 0.992 and the average PIC was 0.209. The average number of alleles per SSR was 2.5 with a range of 1 to 13. However, 410 SSR markers had only one allele, confirming that diversity of cultivated peanuts is very limited. Among the polymorphic SSR markers, 26.4% were dinucleotide GA repeat motif markers, followed by dinucleotide CT (10.4%), and trinucleotide TAA (9.6%). The dinucleotide and trinucleotide repeat motifs are the most abundant type of SSRs, and dinucleotide GA repeat motif shows a higher polymorphism in comparison to other types. The genetic relationships revealed from the cladogram are in agreement with the pedigrees and origins of the tested peanut genotypes, indicating that these SSR markers are useful tools for evaluation of genetic diversity in peanuts.

scholarly journals Genetic Diversity and Population Structure of the Major Peanut (Arachis hypogaea L.) Cultivars Grown in China by SSR Markers

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88091 ◽  
Author(s):  
Xiaoping Ren ◽  
Huifang Jiang ◽  
Zhongyuan Yan ◽  
Yuning Chen ◽  
Xiaojing Zhou ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Arachis Hypogaea ◽  
Ssr Markers ◽  
Arachis Hypogaea L

scholarly journals Diversity in Nutrient Content and Consumer Preferences of Sensory Attributes of Peanut (Arachis hypogaea L.) Varieties in Ugandan Agroecosystems

2021 ◽  
Vol 13 (5) ◽  
pp. 2658
Author(s):  
Rose Nankya ◽  
John W. Mulumba ◽  
Hannington Lwandasa ◽  
Moses Matovu ◽  
Brian Isabirye ◽  
...  
Keyword(s):  
Arachis Hypogaea ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Nutrient Content ◽  
Intraspecific Diversity ◽  
Laboratory Evaluation ◽  
Organoleptic Characteristics ◽  
Arachis Hypogaea L ◽  
Cultivated Peanut ◽  
Nutrient Amounts

The cultivated peanut (Arachis hypogaea L.) is one of the most widely consumed legumes globally due to its nutrient content, taste, and affordability. Nutrient composition and consumer preference were determined for twenty local farmer (landrace) and commercial peanut varieties grown in the Nakaseke and Nakasongola districts of the central wooded savanna of Uganda through sensory and laboratory evaluation. Significant differences in nutrient content (p < 0.05) among peanut varieties were found within and across sites. A significant relationship between nutrient content and consumer preference for varieties within and across sites was also realized (Wilk’s lambda = 0.05, p = 0.00). The differences in nutrient content influenced key organoleptic characteristics, including taste, crunchiness, appearance, and soup aroma, which contributed to why consumers may prefer certain varieties to others. Gender differences in variety selection were significantly related to consumer preference for the crunchiness of roasted peanut varieties (F = 5.7, p = 0.016). The results imply that selecting different varieties of peanuts enables consumers to receive different nutrient amounts, while experiencing variety uniqueness. The promotion of peanut intraspecific diversity is crucial for improved nutrition, organoleptic appreciation and the livelihood of those engaged in peanut value chains, especially for the actors who specialize in different peanut products. The conservation of peanut diversity will ensure that the present and future generations benefit from the nutritional content and organoleptic enjoyment that is linked to unique peanut varieties.

scholarly journals Genetic diversity in table grapes based on RAPD and microsatellite markers

2011 ◽  
Vol 46 (9) ◽  
pp. 1035-1044 ◽  
Author(s):  
Patrícia Coelho de Souza Leão ◽  
Sérgio Yoshimitsu Motoike
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
Genetic Relationships ◽  
Similarity Index ◽  
Genetic Distances ◽  
Table Grape ◽  
Group Method ◽  
Molecular Characteristics ◽  
Table Grapes ◽  
Pair Group

The objective of this work was to analyze the genetic diversity of 47 table grape accessions, from the grapevine germplasm bank of Embrapa Semiárido, using 20 RAPD and seven microsatellite markers. Genetic distances between pairs of accessions were obtained based on Jaccard's similarity index for RAPD data and on the arithmetic complement of the weighted index for microsatellite data. The groups were formed according to the Tocher's cluster analysis and to the unweighted pair‑group method with arithmetic mean (UPGMA). The microsatellite markers were more efficient than the RAPD ones in the identification of genetic relationships. Information on the genetic distance, based on molecular characteristics and coupled with the cultivar agronomic performance, allowed for the recommendation of parents for crossings, in order to obtain superior hybrids in segregating populations for the table grape breeding program of Embrapa Semiárido.

scholarly journals Cross Species/Genera Transferability of SSR Markers, Genetic Diversity and Population Structure Analysis in Gladiolus (Gladiolus × grandiflorus L.) Genotypes

2021 ◽  
Author(s):  
Varun Hiremath ◽  
Kanwar Pal Singh ◽  
Neelu Jain ◽  
Kishan Swaroop ◽  
Pradeep Kumar Jain ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Structure Analysis ◽  
Genetic Relationships ◽  
Crop Improvement ◽  
Test Analysis ◽  
Average Value ◽  
Population Structure Analysis ◽  
Genetic Diversity And Structure

Abstract Genetic diversity and structure analysis using molecular markers is necessary for efficient utilization and sustainable management of gladiolus germplasm. Genetic analysis of gladiolus germplasm using SSR markers is largely missing due to scarce genomic information. In the present investigation, we report 66.66% cross transferability of Gladiolus palustris SSRs whereas 48% of Iris EST-SSRs were cross transferable across the gladiolus genotypes used in the study. A total of 17 highly polymorphic SSRs revealed a total 58 polymorphic loci ranging from two to six in each locus with an average of 3.41 alleles per marker. PIC values ranged from 0.11 to 0.71 with an average value of 0.48. Four SSRs were selectively neutral based on Ewens-Watterson test. Analysis of genetic structure of 84 gladiolus genotypes divided whole germplasm into two subpopulations. 35 genotypes were assigned to subpopulation 1 whereas 37 to subpopulation 2 and rest of the genotypes recorded as admixture. Analysis of molecular variance indicated maximum variance (53.59%) among individuals within subpopulations whereas 36.55% of variation observed among individuals within total population. Least variation (9.86%) was noticed between two subpopulations. Moderate (FST = 0.10) genetic differentiation of two subpopulations was observed. Grouping pattern of population structure was consistent with UPGMA dendrogram based on simple matching dissimilarity coefficient (ranged from 01.6 to 0.89) and PCoA. Genetic relationships assessed among the genotypes of respective clusters assist the breeders in selecting desirable parents for crossing. SSR markers from present study can be utilized for cultivar identification, conservation and sustainable utilization of gladiolus genotypes for crop improvement.

scholarly journals Molecular Diversity Analysis in Boro Rice (Oryza sativa L.) Landraces using SSR Markers

2021 ◽  
pp. 36-48
Author(s):  
Farhana Afrin Vabna ◽  
Mohammad Zahidul Islam ◽  
Md. Ferdous Rezwan Khan Prince ◽  
Md. Ekramul Hoque
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Molecular Diversity ◽  
Genetic Relationships ◽  
Group Method ◽  
Diversity Analysis ◽  
Average Value ◽  
Rice Landraces ◽  
Boro Rice ◽  
Research Institute

Aims: The aim of the study was to determine the genetic diversity of twenty four Boro rice landraces using rice genome specific twelve well known SSR markers. Study Design: Genomic DNA extraction, PCR amplification, Polyacrylamide gel electrophoresis (PAGE) and data analysis-these steps were followed to perform the research work. Data was analysed with the help of following software; POWERMAKER version 3.25, AlphaEaseFC (Alpha Innotech Corporation) version 4.0. UPGMA dendrogram was constructed using MEGA 5.1 software. Place and Duration of Study: The study was conducted at the Genetic Resources and Seed Division (GRSD), Bangladesh Rice Research Institute (BRRI), Joydebpur, Gazipur, Bangladesh during the period of November 2017 to March 2018. Methodology: Simple Sequence Repeat (SSR) markers were used to assay 24 landraces of Boro rice collected from the Gene Bank of Bangladesh Rice Research Institute (BRRI). Results: A total fifty four (54) alleles were detected, out of which forty five (45) polymorphic alleles were identified. The Polymorphic Information Content (PIC) of SSR markers ranged from 0.08 (RM447) to 0.84 (RM206) with an average value of PIC = 0.49. Gene diversity ranges from 0.08 (RM447) to 0.86 (RM206) with an average value of 0.52. The RM206 marker can be considered as the best marker among the studied markers for 24 rice landraces. Dendrogram based on Nei’s genetic distance using Unweighted Pair Group Method of Arithmetic Mean (UPGMA) indicated the segregation of 24 genotypes into three main clusters. Conclusion: The result revealed that SSR markers are very effective tools in the study of genetic diversity and genetic relationships and this result can be conveniently used for further molecular diversity analysis of rice genotypes to identify diverse parent for the development of high yielding variety in rice.

Genetic diversity among silkworm (Bombyx mori L., Lep., Bombycidae) germplasms revealed by microsatellites

Genome ◽  
2005 ◽  
Vol 48 (5) ◽  
pp. 802-810 ◽  
Author(s):  
Muwang Li ◽  
Li Shen ◽  
Anying Xu ◽  
Xuexia Miao ◽  
Chengxiang Hou ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Bombyx Mori ◽  
Ssr Markers ◽  
Simple Sequence Repeat ◽  
Genetic Relationships ◽  
Group Method ◽  
Sequence Repeat ◽  
Bombyx Mori L ◽  
Simple Sequence ◽  
Silkworm Bombyx Mori

To determine genetic relationships among strains of silkworm, Bombyx mori L., 31 strains with different origins, number of generations per year, number of molts per generation, and morphological characters were studied using simple sequence repeat (SSR) markers. Twenty-six primer pairs flanking microsatellite sequences in the silkworm genome were assayed. All were polymorphic and unambiguously separated silkworm strains from each other. A total of 188 alleles were detected with a mean value of 7.2 alleles/locus (range 2–17). The average heterozygosity value for each SSR locus ranged from 0 to 0.60, and the highest one was 0.96 (Fl0516 in 4013). The mean polymorphism index content (PIC) was 0.66 (range 0.12–0.89). Unweighted pair group method with arithmetic means (UPGMA) cluster analysis of Nei's genetic distance grouped silkworm strains based on their origin. Seven major ecotypic silkworm groups were analyzed. Principal components analysis (PCA) for SSR data support their UPGMA clustering. The results indicated that SSR markers are an efficient tool for fingerprinting cultivars and conducting genetic-diversity studies in the silkworm.Key words: silkworm, Bombyx mori L., microsatellites, simple sequence repeat (SSR), genetic diversity.

Sign in / Sign up

Export Citation Format

Share Document