scholarly journals Genetic diversity of wild sunflower (Helianthus sp.) accessions with different tolerance to mid-stalk white rot

Genetika ◽  
2014 ◽  
Vol 46 (2) ◽  
pp. 331-342 ◽  
Author(s):  
Dragana Miladinovic ◽  
Ksenija Taski-Ajdukovic ◽  
Nevena Nagl ◽  
Branislav Kovacevic ◽  
Aleksandra Dimitrijevic ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Random Amplified Polymorphic Dna ◽  
Significance Test ◽  
White Rot ◽  
High Tolerance ◽  
Principal Coordinates Analysis ◽  
Wild Sunflower ◽  
Phylogenetic Relations ◽  
Principal Coordinates

Random amplified polymorphic DNA (RAPD) markers were used to detect polymorphism among accessions of wild sunflower species H?lianthus maximiliani, Helianthus tuberosus, Helianthus mollis and Helianthus rigidus with different tolerance to mid-stalk white rot and selection of potential markers for different levels of tolerance to this disease. Estimates of genetic variation showed that genetic diversity was equally distributed between Helianthus species and within them. Cluster analysis corresponded to the phylogenetic relations within the genus Helianthus. The results obtained by principal coordinates analysis (PCoA), where the first two principal coordinates accounted for 83.7% of total variation, perfectly coincided with the results of cluster analysis. Contingency coefficient significance test showed that most of the used primers generated bands associated with some level of tolerance or susceptibility to mid- stalk white rot. Furthermore, contingency analysis showed that primer C12 generated bands associated with resistance (100%) to mid-stalk white rot both in H. mollis and in all accessions, while primer X18 generated bands significantly associated with high tolerance (75%) in H. rigidus, H. mollis as well as in all tested accessions. The C15-600 bp locus was found to be significantly associated with high tolerance (75%) in all accessions, and medium tolerance (50%) in H. mollis.

scholarly journals Efficiency of RAPD and ISSR markers in assessing genetic diversity and relationships in black gram (Vigna mungo L. Hepper) vari

2010 ◽  
Vol 90 (4) ◽  
pp. 443-452 ◽  
Author(s):  
T. Karuppanapandian ◽  
H W Wang ◽  
T. Karuppudurai ◽  
J. Rajendhran ◽  
M. Kwon ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Genetic Relationships ◽  
Random Amplified Polymorphic Dna ◽  
Vigna Mungo ◽  
Polymorphic Band ◽  
Black Gram ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates ◽  
Rapd And Issr

The DNA fingerprinting methodologies, random amplified polymorphic DNA (RAPD) and inter-simple sequence repeat (ISSR), were used to estimate genetic diversity and relationships among 20 black gram (Vigna mungo L. Hepper) varieties. Thirty selected RAPD primers amplified 255 bands, 168 of which were polymorphic (66.5%). On average, these primers produced 8.5 bands, 5.6 of which were polymorphic. Polymorphic band number varied from 2 (A-05) to 10 (OPA-02), with sizes ranging from 100 to 2550 bp. Twenty-four selected ISSR primers produced 238 amplified products, 184 of which were polymorphic (77.8%). On average, these primers generated 9.8 bands, with 7.7 polymorphic bands ranging in number from 4 (ISSR-13) to 11 (ISSR-03), and size from 100-2650 bp. Genetic relationships were estimated using similarity coefficient (Jaccard’s) values between different accession pairs; these varied from 30.7 to 85.0 for RAPD, and from 37.2 to 88.4 with ISSR. UPGMA analysis indicated that the varieties ranged in similarity from 0.50 to 1.00 (mean of 0.75) for RAPD, and from 0.47 to 1.00 (mean of 0.76) with ISSR. Cluster analysis of RAPD and ISSR results identified three clusters with significant bootstrap values, which revealed greater homology between the varieties. Principal coordinates analysis also supported this conclusion. Among the black gram varieties, WBU-108 and RBU-38 were highly divergent, whereas LBG-648 and LBG-623 were genetically similar. The markers generated by RAPD and ISSR assays can provide practical information for the management of genetic resources and these results will also provide useful information for the molecular classification and breeding of new black gram varieties.Key words: Black gram, cluster analysis, genetic diversity, ISSR, molecular markers, RAPD

scholarly journals Genetic Structure and Eco-Geographical Differentiation of Lancea tibetica in the Qinghai-Tibetan Plateau

Genes ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 97 ◽  
Author(s):  
Xiaofeng Chi ◽  
Faqi Zhang ◽  
Qingbo Gao ◽  
Rui Xing ◽  
Shilong Chen
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Gene Flow ◽  
Tibetan Plateau ◽  
Environmental Changes ◽  
Restricted Gene Flow ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates ◽  
Genetic Diversity And Structure ◽  
Tanggula Mountains

The uplift of the Qinghai-Tibetan Plateau (QTP) had a profound impact on the plant speciation rate and genetic diversity. High genetic diversity ensures that species can survive and adapt in the face of geographical and environmental changes. The Tanggula Mountains, located in the central of the QTP, have unique geographical significance. The aim of this study was to investigate the effect of the Tanggula Mountains as a geographical barrier on plant genetic diversity and structure by using Lancea tibetica. A total of 456 individuals from 31 populations were analyzed using eight pairs of microsatellite makers. The total number of alleles was 55 and the number per locus ranged from 3 to 11 with an average of 6.875. The polymorphism information content (PIC) values ranged from 0.2693 to 0.7761 with an average of 0.4378 indicating that the eight microsatellite makers were efficient for distinguishing genotypes. Furthermore, the observed heterozygosity (Ho), the expected heterozygosity (He), and the Shannon information index (I) were 0.5277, 0.4949, and 0.9394, respectively, which indicated a high level of genetic diversity. We detected high genetic differentiation among all sampling sites and restricted gene flow among populations. Bayesian-based cluster analysis (STRUCTURE), principal coordinates analysis (PCoA), and Neighbor-Joining (NJ) cluster analysis based on microsatellite markers grouped the populations into two clusters: the southern branch and the northern branch. The analysis also detected genetic barriers and restricted gene flow between the two groups separated by the Tanggula Mountains. This study indicates that the geographical isolation of the Tanggula Mountains restricted the genetic connection and the distinct niches on the two sides of the mountains increased the intraspecific divergence of the plants.

Genetic diversity in four cabbage populations based on random amplified polymorphic DNA markers

2005 ◽  
Vol 143 (5) ◽  
pp. 377-384 ◽  
Author(s):  
O. KOUTITA ◽  
K. TERTIVANIDIS ◽  
T. V. KOUTSOS ◽  
M. KOUTSIKA-SOTIRIOU ◽  
G. N. SKARACIS
Keyword(s):  
Genetic Diversity ◽  
Dna Markers ◽  
Random Amplified Polymorphic Dna ◽  
Population Diversity ◽  
Group Method ◽  
Jaccard Coefficient ◽  
Gene Frequencies ◽  
Principal Coordinates Analysis ◽  
Arithmetic Average ◽  
Principal Coordinates

Genetic diversity in four local Greek cabbage open-pollinated populations was investigated using RAPD (Random Amplified Polymorphic DNA) DNA markers in 18 individual plants from each population. A total of 24 random primers detected 90 polymorphic bands in the four populations studied, with an average of 3·75 bands/primer. The mean between-population differentiation was close to 40%, leaving 60% for within-population diversity. The individual plants were grouped, based on the Jaccard coefficient, by clustering (Unweighted Pair Group Method and Arithmetic Average – UPGMA) and an ordination (Principal Coordinates Analysis – PCO) methods, resulting in 7 and 6 groups, respectively. In general, there was a notable similarity in the grouping of the individuals with these two methods. In addition, Nei's standard genetic distance between populations, as calculated on the basis of within-population gene frequencies, was employed to group the populations by the UPGMA method. Clustering results were in good agreement with previously reported results based on morphological descriptors applied to the same populations. It was concluded that RAPD markers could be exploited as alternative or supplementary tools to already established methods for the evaluation and classification of cabbage genetic resources.

scholarly journals Clustering Analysis and Genome Inference of Pisang Raja Local Cultivars (Musa spp.) from Java Island by Random Amplified Polymorphic DNA (RAPD) Marker

2019 ◽  
Vol 4 (2) ◽  
pp. 42 ◽  
Author(s):  
Rasyadan Taufiq Probojati ◽  
Didik Wahyudi ◽  
Lia Hapsari
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
Random Amplified Polymorphic Dna ◽  
Rapd Marker ◽  
Molecular Techniques ◽  
Principal Coordinates Analysis ◽  
Local Cultivars ◽  
Principal Coordinates ◽  
Polymorphic Bands ◽  
Cluster 2

Pisang Raja is an important local banana cultivar in the economy and cultural life in Indonesia, especially at Java. There are many Pisang Raja cultivars found on Java Island with various local names in each region, resulted in problems on taxonomic identification and grouping. Conventional research for grouping banana cultivars is still using morphological characters but considered inaccurate because of its subjectivity. This study aims to analyze the genetic diversity, grouping, and genome estimation of 13 local cultivars of Pisang Raja based on molecular approach using RAPD markers (OPA primers 1-20). Clustering and Principal Coordinates Analysis were performed to the amplified products using Paleontological Statistics (PAST) application version 3.15. Results showed that there were 12 primers which successfully amplified and produced DNA polymorphic bands in Pisang Raja, specifically OPA 1, OPA 2, OPA 3, OPA 4, OPA 5, OPA 8, OPA 16, OPA 17, OPA 18, OPA 19, and OPA 20. Pisang Raja cultivars considered have high genetic diversity, indicated by high polymorphic bands (95.17%) and low similarity coefficient values (0.2-0.6). Clustering and PCo analysis resulted in 3 clusters following its genomic group consist of AAA, AAB and ABB genomes, with Pisang Raja Bali as an outgroup (ABB). However, the separation of each cluster for genome inference was unclear. Cluster 1 consists of Pisang Raja Madu (AAB) and Raja Sereh (AAB). Cluster 2 consists of AAA and AAB genomes; includes Pisang Raja Jambe (AAA), Raja Kriyak (AAA), Raja Kutuk (AAB), Raja Brentel (AAB), Raja Seribu (AAB), and Raja Lini (AAB). Cluster 3 consists of AAA and AAB genomes, includes Pisang Raja Kisto (AAA), Raja Delima (AAA), Raja Bandung (AAB) and Raja Gareng (AAB). While Pisang Monyet (AAw) and Klutuk Wulung (BBw) as wild relatives were nested in Cluster 2. There were some different results of genome estimation based on RAPD markers compared to morphological characterization, and other molecular techniques. The use of RAPD markers is quite efficient and effective for studying genetic diversity and identifying genomes in bananas.

scholarly journals Molecular characterization of sesame germplasms of West Bengal, India using RAPD markers

2019 ◽  
Vol 63 (1) ◽  
pp. 15-24
Author(s):  
Soumen Saha ◽  
Tarak Nath Dhar ◽  
Parthadeb Ghosh ◽  
Tulsi Dey
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
West Bengal ◽  
Genetic Relationships ◽  
Random Amplified Polymorphic Dna ◽  
Group Method ◽  
Similarity Coefficients ◽  
Principal Coordinates Analysis ◽  
High Genetic Diversity ◽  
Principal Coordinates

The aim of this research was to assess the genetic diversity of sesame (Sesamum indicum L.) and also to reveal the genetic relationships using the Random Amplified Polymorphic DNA (RAPD) markers. Fifteen sesame germplasms were collected from seven districts or four zones of West Bengal, India. A high genetic diversity was revealed by ten RAPD primers within and among the fifteen germplasms. The value of Jaccard’s similarity coefficients among and within the fifteen germplasms ranged from 0.287 to 0.725 which indicated high degree of genetic variability. Cluster analysis using Unweighted Pair Group Method with Arithmetic Mean (UPGMA) grouped all the germplasms into three main clusters. Analysis of various genetic diversity indices strongly indicated high level of genetic diversity among the populations of four different regions. UPGMA analysis of four populations resulted into two groups and the results of Principal Coordinates Analysis (PCoA) depicted a clear distinction among the germplasms.

Genetic diversity in Bambara groundnut (Vigna subterranea L.) germplasm revealed by RAPD markers

Genome ◽  
2001 ◽  
Vol 44 (6) ◽  
pp. 995-999 ◽  
Author(s):  
H I Amadou ◽  
P J Bebeli ◽  
P J Kaltsikes
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Rapd Markers ◽  
Random Amplified Polymorphic Dna ◽  
Geographic Origin ◽  
Bambara Groundnut ◽  
International Institute ◽  
Tropical Agriculture ◽  
Vigna Subterranea ◽  
Ibadan Nigeria

Random amplified polymorphic DNA (RAPD) markers were used to assess genetic diversity in Bambara groundnut (Vigna subterranea L.) germplasm using 25 African accessions from the collection in the International Institute for Tropical Agriculture, Ibadan, Nigeria. Fifty random decamer primers were screened to assess their ability to detect polymorphism in bambara; 17 of them were selected for this study. Considerable genetic diversity was found among the V. subterranea accessions studied. The relationships among the 25 accessions were studied by cluster analysis. The dendrograms showed two main groups of accessions mainly along the lines of their geographic origin. It is concluded that RAPD can be used for germplasm classification in bambara groundnut and hence for improving this crop.Key words: germplasm, PCR, RAPD, Vigna subterranea.

scholarly journals Morphological and genetic diversity of Senecio vulgaris L. (Asteraceae) in Iran

2021 ◽  
Vol 80 (2) ◽  
Author(s):  
Mostafa Ebadi ◽  
Rosa Eftekharian
Keyword(s):  
Genetic Diversity ◽  
Principal Component ◽  
Morphological Characters ◽  
Mantel Test ◽  
Morphological Data ◽  
Principal Coordinates Analysis ◽  
Cauline Leaf ◽  
Senecio Vulgaris ◽  
Molecular Features ◽  
Principal Coordinates

Senecio vulgaris L., an annual herb belonging to the Asteraceae, is widely distributed in different regions of the world. There is no information on the intraspecific variations of the morphological and molecular features of this species. In the present investigation, we studied the morphological and genetic diversity of 81 accessions of S. vulgaris collected from 10 geographical populations. Eleven inter simple sequence repeat (ISSR) primers were used for the examination of genetic variations among the populations. Analysis of molecular variance (AMOVA) and GST analyses revealed significant differences among the investigated populations. A significant correlation between genetic distance and geographical distance was revealed by the Mantel test. However, reticulation analysis indicated the occurrence of gene flow among most of the populations studied. Principal component analysis (PCA) plot showed that the number of capitula, length of the cauline leaf and plant height were the most variable morphological characters. Principal coordinates analysis (PCoA) plot revealed two groups of populations, according to molecular and morphological data. The results suggested the existence of possible intraspecific taxonomic ranks within this species.

Genetic diversity analysis of the Greek lentil (Lens culinaris) landrace ‘Eglouvis’ using morphological and molecular markers

2018 ◽  
Vol 16 (5) ◽  
pp. 469-477 ◽  
Author(s):  
Georgios F. Tsanakas ◽  
Photini V. Mylona ◽  
Katerina Koura ◽  
Anthoula Gleridou ◽  
Alexios N. Polidoros
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Genetic Variability ◽  
Morphological Analysis ◽  
Phenotypic Variability ◽  
Market Price ◽  
Genetic Distances ◽  
Reaction Products ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates

AbstractThe Greek lentil landrace ‘Eglouvis’ is cultivated continuously at the Lefkada island for more than 400 years. It has great taste, high nutritional value and high market price. In the present study, we used morphological and molecular markers to estimate genetic diversity within the landrace. Morphological analysis was based on characteristics of the seed. Molecular analysis was performed using simple sequence repeat (SSR) molecular markers in a high-resolution melting (HRM) approach. ‘Samos’ and ‘Demetra’, two of the most widely cultivated commercial lentil varieties in Greece, were used for comparisons. Morphological analysis was performed with 584 seeds randomly selected from a lot. Analysis of seed dimensions and colour distributed the samples in different categories and highlighted the phenotypic variability in ‘Eglouvis’ lentil seeds. Genetic variability was estimated from 91 individual DNA samples with 11 SSR markers using HRM analysis. Genotyping was based upon the shape of the melting curves and the difference plots; all polymerase chain reaction products were also run on agarose gels. Genetic distances of individuals and principal coordinates analysis suggested that ‘Eglouvis’ landrace has a unique genetic background that significantly differs from ‘Samos’ and ‘Demetra’ and no overlapping could be detected. Genetic variability within the ‘Eglouvis’ landrace can be considered in targeted breeding programs as a significant phytogenetic resource of lentils in Greece.

Temporal diversity changes among 198 Nordic bread wheat landraces and cultivars detected by retrotransposon-based S-SAP analysis

2008 ◽  
Vol 6 (02) ◽  
pp. 113-125 ◽  
Author(s):  
Shu-Chin Hysing ◽  
Torbjörn Säll ◽  
Hilde Nybom ◽  
Erland Liljeroth ◽  
Arnulf Merker ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Bread Wheat ◽  
Growth Habit ◽  
Gene Diversity ◽  
Pedigree Information ◽  
Principal Coordinates Analysis ◽  
Subsequent Increase ◽  
Principal Coordinates ◽  
Frequent Exchange ◽  
Wheat Landraces

The sequence-specific amplified polymorphism (S-SAP) method was used to genotype 198 Nordic bread wheat landraces and cultivars from the 19th to the 21st centuries. It was shown that theSukkula-9900-LARD retrotransposon primer was highly suitable for resolving closely related wheat materials. Cluster analysis was generally consistent with pedigree information and revealed a clear separation for growth habit but not for countries. A principal coordinates analysis (PCoA) showed a separation into different time periods (before 1910, 1910–1969 and 1970–2003). These results are consistent with the breeding history and pedigree information, indicating that little hybridization has occurred between winter and spring wheat, in contrast to frequent exchange of germplasm between the Nordic countries. Estimates of gene diversity, the PCoA results, and changes in band frequencies across time indicate that plant breeding has led to substantial genetic shifts in Nordic wheat. Diversity was reduced through selections from landraces during the early 20th century, followed by a period of relatively lower genetic diversity, and a subsequent increase and net gains in diversity from the late 1960s onwards through the use of exotic germplasm. Thus, an anticipated loss of overall genetic diversity was found to be negligible, although allele losses have occurred at specific loci.

scholarly journals High-Throughput Genotype, Morphology, and Quality Traits Evaluation for the Assessment of Genetic Diversity of Wheat Landraces from Sicily

Plants ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 116 ◽  
Author(s):  
Fiore ◽  
Mercati ◽  
Spina ◽  
Blangiforti ◽  
Venora ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Durum Wheat ◽  
Extreme Environments ◽  
Principal Component ◽  
Detailed Knowledge ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates ◽  
Wide Range ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

During the XX Century, the widespread use of modern wheat cultivars drastically reduced the cultivation of ancient landraces, which nowadays are confined to niche cultivation areas. Several durum wheat landraces adapted to the extreme environments of the Mediterranean region, are still being cultivated in Sicily, Italy. Detailed knowledge of the genetic diversity of this germplasm could lay the basis for their efficient management in breeding programs, for a wide-range range of traits. The aim of the present study was to characterize a collection of durum wheat landraces from Sicily, using single nucleotide polymorphisms (SNP) markers, together with agro-morphological, phenological and quality-related traits. Two modern cv. Simeto, Claudio, and the hexaploid landrace, Cuccitta, were used as outgroups. Cluster analysis and Principal Coordinates Analysis (PCoA) allowed us to identify four main clusters across the analyzed germplasm, among which a cluster included only historical and modern varieties. Likewise, structure analysis was able to distinguish the ancient varieties from the others, grouping the entries in seven cryptic genetic clusters. Furthermore, a Principal Component Analysis (PCA) was able to separate the modern testers from the ancient germplasm. This approach was useful to classify and evaluate Sicilian ancient wheat germplasm, supporting their safeguard and providing a genetic fingerprint that is necessary for avoiding commercial frauds to sustaining the economic profits of farmers resorting to landraces cultivation.

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