Assessment of genetic diversity in 35 Pisum sativum accessions using microsatellite markers

2012 ◽  
Vol 92 (6) ◽  
pp. 1075-1081 ◽  
Author(s):  
Sajjad Ahmad ◽  
Manjit Singh ◽  
Neil Dylan Lamb-Palmer ◽  
Mark Lefsrud ◽  
Jaswinder Singh
Keyword(s):  
Genetic Diversity ◽  
Pisum Sativum ◽  
Microsatellite Markers ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Gene Pools ◽  
Breeding Lines ◽  
High Performing ◽  
Pair Group ◽  
Upgma Cluster Analysis

Ahmad, S., Singh, M., Lamb-Palmer, N. D., Lefsrud, M. and Singh, J. 2012. Assessment of genetic diversity in 35 Pisum sativum accessions using microsatellite markers. Can. J. Plant Sci. 92: 1075–1081. Field pea is an important Canadian pulse crop and therefore developing high-performing cultivars is critical for Canadian pea growers. Information about genetic diversity is a key component for the creation of novel and desirable germplasm to develop elite pea breeding lines. The objective of the present study is to assess genetic diversity in 35 diverse Pisum accessions using 15 polymorphic microsatellites located on different pea chromosomes. Microsatellites were found to be polymorphic, amplifying a total of 41 alleles and were able to differentiate all 35 Pisum genotypes. These markers were scored by their polymorphic information content (PIC), ranging from 0.055 (AA206) to 0.660 (AB72) with an average of 0.460, and by their discriminating power (D), which varied from 0.057 (AA206) to 0.679 (AB 72) with an average of 0.475. Genetic similarity values ranged from 0.074 (between Maple pea NZ and Line 45760) to 0.875 (between Galena and Dakota) with an average of 0.336. Unweighted pair group method with arithmetic averages (UPGMA) cluster analysis grouped the 35 pea accessions into two major clusters and eight sub-clusters. The majority of Canadian and European genotypes were grouped separately, suggesting both these groups are from genetically distinct gene pools. The genetically diverse groups identified in this study can be used to derive parental lines for pea breeding.

scholarly journals Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran

2017 ◽  
Vol 60 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Mohammad Taghi Vajed Ebrahimi ◽  
Mohammadreza Mohammadabadi ◽  
Ali Esmailizadeh
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
Information Content ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Extraction Procedure ◽  
Shannon Index ◽  
Group Method ◽  
Salting Out ◽  
Pair Group

Abstract. Investigation of genetic relationship among populations has been traditionally based on the analysis of allele frequencies at different loci. The prime objective of this research was to measure the genetic polymorphism of five microsatellite markers (McMA2, BM6444, McMA26, HSC, and OarHH35) and study genetic diversity of 14 sheep types in Iran. Genomic DNA was extracted from blood samples of 565 individuals using an optimized salting-out DNA extraction procedure. The polymerase chain reaction (PCR) was successfully performed with the specific primers. Some locus–population combinations were not at Hardy–Weinberg equilibrium (P < 0. 05). The microsatellite analysis revealed high allelic and gene diversity in all 14 breeds. Pakistani and Arabi breeds showed the highest mean number of alleles (11.8 and 11 respectively), while the highest value for polymorphic information content was observed for the Arabi breed (0.88). A UPGMA (unweighted pair group method with arithmetic mean) dendrogram based on the Nei's standard genetic distance among studied breeds showed a separate cluster for Arabi and Pakistani breeds and another cluster for other breeds. The Shannon index (H0) for McMA2, BM6444, McMA26, HSC, and OarHH35 was 2.31, 2.17, 2.27, 2.04 and 2.18, respectively, and polymorphic information content (PIC) values were 0.88, 0.92, 0.87, 0.84, and 0.86 for McMA2, BM6444, McMA26, HSC, and OarHH35, respectively. The high degree of variability demonstrated within the studied sheep types implies that these populations are rich reservoirs of genetic diversity that must be preserved.

scholarly journals Phylogenetic Assessment Of Arthrocnemum Macrostachyum (Chenopodiaceae) Genotypes, Using Ramp Markers

2015 ◽  
Vol 60 (2) ◽  
pp. 293-299
Author(s):  
Basel Saleh
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Marker Index ◽  
Pair Group ◽  
Genotype 2 ◽  
Upgma Cluster Analysis ◽  
Arthrocnemum Macrostachyum ◽  
Unweighted Pair Group Method

AbstractRandom amplified microsatellite polymorphism (RAMP) marker technique was employed to test its usefulness for assessing phylogenetic relationships in three genotypes of Arthrocnemum macrostachyum (Moric.) Moris. & Delponte from Syria. PCR reactions with 21 RAMP primer combinations (PCs) distinguished 145 loci, 139 of which (95.862%) were polymorphic. The (AG)8TC/OPE18 primer combination generated the highest number of fragments (11 amplicons), and the (AC)8T/OPE04 primer combination the fewest (4 amplicons). Average estimated polymorphic information content (PIC) was 0.431, with an average marker index (MI) of 2.836. Analysis by the unweighted pair group method using arithmetic averages (UPGMA) was performed and a dendrogram was constructed. UPGMA cluster analysis based on RAMP markers distinguished genotype 2, suggested here to be a subspecies, from genotypes 1 and 3. In this study the RAMP marker method proved to be a reliable tool for discriminating and estimating genetic diversity within A. macrostachyum.

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.

Inter Simple Sequence Repeat (ISSR) markers to assess genetic diversity and relatedness within strawberry genotypes

2008 ◽  
Vol 88 (2) ◽  
pp. 313-322 ◽  
Author(s):  
S. C. Debnath ◽  
S. Khanizadeh ◽  
A. R. Jamieson ◽  
C. Kempler
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Genetic Similarity ◽  
Inter Simple Sequence Repeat ◽  
Issr Markers ◽  
Group Method ◽  
Sequence Repeat ◽  
Breeding Lines ◽  
Pair Group ◽  
Simple Sequence

The goal of this study was to determine the level of genetic diversity and relatedness among 16 strawberry (Fragaria H ananassa Duch.) cultivars and 11 breeding lines developed in Canada, using Inter Simple Sequence Repeat (ISSR) markers. Seventeen primers generated 225 polymorphic ISSR-PCR bands. Cluster analysis by the unweighted pair-group method with arithmetic averages (UPGMA) revealed a substantial degree of genetic similarity among the genotypes ranging from 63 to 77% that were in agreement with the principal coordinate (PCO) analysis. Geographical distribution for the place of breeding program explained only 1.4% of total variation as revealed by analysis of molecular variance (AMOVA). The ISSR markers detected a sufficient degree of polymorphism to differentiate among strawberry genotypes, making this technology valuable for cultivar identification and for the more efficient choice of parents in current strawberry breeding programs. Key words: Fragaria × ananassa, DNA fingerprinting, multivariate analysis, breeding, genetic similarity

scholarly journals SSR Markers Reveal the Genetic Diversity of Asian Cercis Taxa at the U.S. National Arboretum

HortScience ◽  
2017 ◽  
Vol 52 (4) ◽  
pp. 498-502 ◽  
Author(s):  
Chandra S. Thammina ◽  
David L. Kidwell-Slak ◽  
Stefan Lura ◽  
Margaret R. Pooler
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
The United States ◽  
Group Method ◽  
Cercis Canadensis ◽  
Landscape Plant ◽  
Pair Group ◽  
Upgma Cluster Analysis ◽  
Eastern Redbud ◽  
The U.S

The redbud (Cercis L. species) is a popular landscape plant grown widely in the United States. There are more than 20 cultivars of eastern redbud (Cercis canadensis L.) and at least three cultivars of Asian taxa (primarily Cercis chinensis Bunge) in the trade. The U.S. National Arboretum (USNA) has a diverse collection of Cercis germplasm collected in North America and Asia. Fourteen genomic simple sequence repeat (genomic-SSR) markers were used to analyze the genetic diversity of 53 accessions of Asian Cercis taxa from our collection, including C. chinensis, Cercis chingii Chun, Cercis gigantea ined., Cercis glabra Pamp., Cercis racemosa Oliv., and Cercis yunnanensis Hu and W. C. Cheng. SSR markers detected an average of 5.7 alleles per locus with a range of two to nine alleles. A dendrogram was generated by unweighted pair group method with arithmetic mean (UPGMA) cluster analysis using the Jaccard similarity coefficient. Four major clusters were identified. Accessions tended to group by taxa or provenance, but with some notable exceptions caused either by misidentification or nomenclatural confusion in the species. This information will be used for collection management and for making decisions in the breeding program to maximize genetic diversity of cultivated Cercis.

scholarly journals Assessment of Genetic Diversity in Cultivated Tomato (Solanum Lycopersicum L.) Genotypes Using Rapd Primers

2013 ◽  
Vol 21 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Saida Sharifova ◽  
Sabina Mehdiyeva ◽  
Konstantinos Theodorikas ◽  
Konstantinos Roubos
Keyword(s):  
Genetic Diversity ◽  
Rapd Analysis ◽  
Diversity Index ◽  
Random Amplified Polymorphic Dna ◽  
Arithmetic Mean ◽  
Similarity Coefficient ◽  
Group Method ◽  
Solanum Lycopersicum L ◽  
Pair Group ◽  
Upgma Cluster Analysis

Abstract Random Amplified Polymorphic DNA (RAPD) analysis was carried out on 19 Azerbaijan tomato genotypes, both cultivars and local populations. A total of 26 amplified products were revealed by 6 primers. The genetic similarity among evaluated genotypes ranged from 0.188 to 1.000. The lowest similarity was observed between cultivars ‘Azerbaijan’ and ‘Shakar’ (0.188), while the highest between ‘Elnur’ and ‘Garatag’ (1.000). The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster analysis based on Jaccard’s similarity coefficient divided genotypes into four main groups. The first group was the largest and consisted of 12 genotypes, while the fourth group was the smallest consisted of 1 genotype only. The most polymorphic primer was OPB-18 that presented a genetic diversity index of 0.823, while the least informative was primer OPG-17 with an index of 0.349. The average genetic diversity calculated from RAPD data was 0.665.

scholarly journals Evaluation of Genetic Diversity among Persian Fig Cultivars by Morphological Traits and RAPD Markers

HortScience ◽  
2018 ◽  
Vol 53 (5) ◽  
pp. 613-619 ◽  
Author(s):  
Ghazal Baziar ◽  
Moslem Jafari ◽  
Mansoureh Sadat Sharifi Noori ◽  
Samira Samarfard
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
Polymorphic Information Content ◽  
Random Amplified Polymorphic Dna ◽  
Hierarchical Cluster ◽  
Fruit Trees ◽  
Group Method ◽  
Fars Province ◽  
Pair Group

Ficus carica L. is one of the most ancient fruit trees cultivated in Persia (Iran). The conservation and characterization of fig genetic resources is essential for sustainable fig production and food security. Given these considerations, this study characterizes the genetic variability of 21 edible F. carica cultivars in the Fars Province using random amplified polymorphic DNA (RAPD) markers. The collected cultivars were also characterized for their morphological features. A total of 16 RAPD primers produced 229 reproducible bands, of which, 170 loci (74.43%) were polymorphic with an average polymorphic information content (PIC) value of 0.899. Genetic analysis using an unweighted pair-group method with arithmetic averaging (UPGMA) revealed genetic structure and relationships among the local germplasms. The dendrogram resulting from UPGMA hierarchical cluster analysis separated the fig cultivars into five groups. These results demonstrate that analysis of molecular variance allows for the partitioning of genetic variation between fig groups and illustrates greater variation within fig groups and subgroups. RAPD-based classification often corresponded with the morphological similarities and differences of the collected fig cultivars. This study suggests that RAPD markers are suitable for analysis of diversity and cultivars’ fingerprinting. Accordingly, understanding of the genetic diversity and population structure of F. carica in Iran may provide insight into the conservation and management of this species.

scholarly journals Molecular Analysis of Genetic Diversity and Geographic Origin within an Ex Situ Germplasm Collection of Cherimoya by Using SSRs

2007 ◽  
Vol 132 (3) ◽  
pp. 357-367 ◽  
Author(s):  
P. Escribano ◽  
M.A. Viruel ◽  
J.I. Hormaza
Keyword(s):  
Genetic Diversity ◽  
Geographic Origin ◽  
Germplasm Collection ◽  
Ex Situ ◽  
Group Method ◽  
Pair Group ◽  
Ssr Primers ◽  
Upgma Cluster Analysis ◽  
Ssr Loci ◽  
Simple Sequence

Cherimoya (Annona cherimola Mill.) is an underused fruit crop with a clear niche for expansion in subtropical climates. In this study, 16 simple sequence repeat (SSR) loci were used to find molecular polymorphisms among 279 cherimoya accessions from a worldwide ex situ field germplasm collection. A total of 79 amplification fragments were amplified with 16 pairs of SSR primers, with an average of 4.9 bands/SSR. Mean expected and observed heterozygosities averaged 0.53 and 0.44, respectively. The total value for the probability of identity was 4.34 × 10−8. The SSRs studied resulted in 267 different fingerprinting profiles, of which 258 were unique genotypes; the rest were putative cases of synonymies or mislabeling errors. Unweighted pair group method with arithmetic averages (UPGMA) cluster analysis indicated the relationships among the analyzed accessions, showing some specific groups related to their geographical origins. Analysis of molecular variance (AMOVA) was performed to examine the distribution of genetic variation of the 148 accessions collected from putative cherimoya origin areas in Ecuador and Peru, showing that the major variations occurred within valleys in each country. The results confirmed the usefulness of microsatellites for identification of genetic diversity and geographic origin of cherimoya and are discussed in terms of their implications for ex situ conservation of cherimoya genetic resources.

scholarly journals Genetic diversity and relationships in jute (Corchorus spp.) revealed by SSR markers

1970 ◽  
Vol 38 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Saaimatul Huq ◽  
Md Shahidul Islam ◽  
Abu Ashraqur Sajib ◽  
Nadim Ashraf ◽  
Samiul Haque ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Marker ◽  
Group Method ◽  
Individual Plant ◽  
Corchorus Olitorius ◽  
Corchorus Capsularis ◽  
Pair Group ◽  
Ssr Primers ◽  
Upgma Cluster Analysis

Characterization of sixteen jute genotypes, from Corchorus olitorius L. and Corchorus capsularis L. using jute specific SSR marker attained a high polymorphism value of 92.20%. A total of 171 different alleles were amplified by 27 primer pairs with a mean of 6.33 ± 2.04 alleles per locus. The genetic diversity was also relatively high (0.81 ± 0.06). The Un-weighted Pair-group Method with Arithmetic averages (UPGMA) cluster analysis of the 16 jute genotypes produced a dendogram, which was in concordance with known information. The study reinforces the utility of SSR primers for providing useful and high levels of markers for individual plant genotypes even with a narrow genetic base. Key words: Jute; Genetic diversity; SSR; Genotypes; Polymorphism DOI: 10.3329/bjb.v38i2.5140 Bangladesh J. Bot. 38(2): 153-161, 2009 (December)  

An Irish perennial ryegrass genetic resource collection clearly divides into two major gene pools

2015 ◽  
Vol 15 (3) ◽  
pp. 269-278 ◽  
Author(s):  
Susanne Barth ◽  
Sarah Katherine McGrath ◽  
Sai Krishna Arojju ◽  
Trevor Roland Hodkinson
Keyword(s):  
Genetic Diversity ◽  
Major Gene ◽  
Population Variation ◽  
Group Method ◽  
Gene Pools ◽  
Northern Irish ◽  
Inbreeding Coefficients ◽  
Pair Group ◽  
Resource Collection ◽  
Hardy Weinberg Equilibrium

This study assessed the genetic diversity in 928 individuals from 40 diploid populations of Lolium perenne using nuclear simple sequence repeat markers, including 22 accessions of Irish ecotypes, seven European ecotypes and 11 released varieties. High levels of allelic and genetic diversity were determined, with intra-population variation accounting for the majority of the variation. The majority of the accessions deviated from Hardy–Weinberg equilibrium and had relatively high inbreeding coefficients. Two major gene pools of ecotypic accessions were defined by unweighted pair group method with arithmetic mean (UPGMA) and PCA analyses. One of these two gene pools accounted for two-thirds of the ecotypes and included most of the current Irish and Northern Irish breeding materials and about half of the European ecotypes included in this study; these European ecotypes performed well under Irish selection conditions. Population structure and differentiation analyses using Structure analysis and analysis of molecular variance confirmed the results found in the UPGMA and PCA analyses. These results will be useful for breeders who wish to exploit specific pools from ecotype collections.

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