scholarly journals Genetic Diversity in Banana and Plantains Cultivars from Eastern DRC and Tanzania Using SSR and Morphological Markers, Their Phylogenetic Classification and Principal Components Analyses

2019 ◽  
Author(s):  
Dowiya Benjamin Nzawele ◽  
Antoine Kanyenga Lubolo ◽  
Paul M. Kusolwa ◽  
Cornel L. Rweyemamu ◽  
Amon P. Maerere
Keyword(s):  
Genetic Diversity ◽  
Principal Components ◽  
Morphological Markers ◽  
Phylogenetic Classification

scholarly journals Morphophysiological Traits as Indicators of Genetic Diversity in Brazilian Populations of Jatropha curcas L. Grown Under Water Deficit

2020 ◽  
Vol 8 (3) ◽  
pp. 527
Author(s):  
Leandro Dias da Silva ◽  
Fábio Pinto Gomes ◽  
Mateus Pires Barbosa ◽  
Raul Antônio Araújo do Bonfim ◽  
Mikaela Oliveira Souza ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Principal Components ◽  
Jatropha Curcas ◽  
Biodiesel Production ◽  
Physiological Traits ◽  
Guaiacol Peroxidase ◽  
Jatropha Curcas L ◽  
Root Area ◽  
Genetic Dissimilarity

Jatropha curcas L. (Euphorbiaceae) is a species grown in tropicalcountries and used for biodiesel production. Morphophysiological traits were analyzed to assess the genetic diversity in nine genotypes of J. curcas under deficit water. Seeds of plants from different populations, collected in diferente brazilian regions, were grown under two water regimes (100% and 50% tank capacity). Multivariate analysis was used to characterize genetic diversity. The UPGMA dendrogram built from the genetic distance group indicated the segregation of genotypes into five groups for growth traits and six groups for physiological traits. Then, an principal components analysis was carried out, to evaluate the pattern of character variations and then segregate the characteristics that could distinguish parental genotypes for use in plant breeding. Results showed 65.50% and 56.02% for the two first principal components of growth and physiological traits, respectively. Total root area was the most determining trait for genetic dissimilarity (18.9%) and group formation, followed by plant height (17.9%) and number of leaves (17.6%). On the other hand, stomatal conductance (gs) (24.9%) and guaiacol peroxidase (GPX) (20.9%) were the most determining physiological traits. The analysis of morphophysiological traits indicated CNPAE-298 and 299 as the most distant genotypes among the plant groups. Under water-limited conditions, total root area, plant height, gs and GPX were the most efficient traits to explain genetic dissimilarity among the genotypes, and for this reason they should be referred as a priority for further studies on genotypes selection in this species.

Genetic diversity in Indian cucumber based on microsatellite and morphological markers

2013 ◽  
Vol 51 ◽  
pp. 19-27 ◽  
Author(s):  
Sudhakar Pandey ◽  
Waquar Akhter Ansari ◽  
Vinay Kumar Mishra ◽  
Asheesh Kumar Singh ◽  
Major Singh
Keyword(s):  
Genetic Diversity ◽  
Morphological Markers

Evaluation of genetic diversity of Rubus hyrcanus using Inter Simple Sequence Repeat (ISSR) and morphological markers

Biologia ◽  
2015 ◽  
Vol 70 (3) ◽  
Author(s):  
Ehsan Sedighi ◽  
Mehdi Rahimmalek
Keyword(s):  
Genetic Diversity ◽  
Caspian Sea ◽  
Gene Diversity ◽  
Inter Simple Sequence Repeat ◽  
Morphological Markers ◽  
The Caspian Sea ◽  
Geographical Regions ◽  
North Eastern ◽  
North Western ◽  
Simple Sequence

AbstractRubus hyrcanus is considered as an important wild blackberry species scattered around the Caspian Sea. In this research, ISSR and morphological markers were used to assess genetic diversity in several populations of R. hyrcanus from various geographical regions of Caspian Sea in Iran. Twenty-five populations of R. hyrcanus from three regions (North- Western (NW), North- Eastern (NE) and Central (C)) and one population from R. discolor were applied in this research. Ten primers were used to amplify bands out of which 157 (77.13%) were polymorphic. Cluster and Principle coordinate analyses (PCoA) showed the higher similarity of NE and NW populations. Analysis of molecular variance (AMOVA) revealed that the differences among three collection regions only accounted for 28.09% of the total variation, whereas differences among populations within groups were 66.03%. Analyses among three regions showed that the minimum gene diversity over loci was observed in NW (0.16) and NE (0.17), while the highest one was found in C (0.238) region. Furthermore, narrow genetic base and relatively high genetic differentiation obtained for studied R. hyrcanus genotypes. The results of morphological analysis in most cases corresponded to those obtained through molecular analyses.

scholarly journals Genetic Diversity and Population Structure of Races of Fusarium oxysporum Causing Cotton Wilt

2020 ◽  
Vol 10 (9) ◽  
pp. 3261-3269
Author(s):  
Hannah C Halpern ◽  
Peng Qi ◽  
Robert C Kemerait ◽  
Marin T Brewer
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Fusarium Oxysporum ◽  
Principal Components ◽  
Phylogenetic Trees ◽  
Elongation Factor ◽  
Intergenic Spacer ◽  
Pathogenic Fungi ◽  
The United States ◽  
Intergenic Spacer Region

Abstract To better understand the evolution of virulence we are interested in identifying the genetic basis of this trait in pathogenic fungi and in developing tools for the rapid characterization of variation in virulence among populations associated with epidemics. Fusarium oxysporum f. sp. vasinfectum (FOV) is a haploid fungus that causes devastating outbreaks of Fusarium wilt of cotton wherever it is grown. In the United States, six nominal races and eleven genotypes of FOV have been characterized based on the translation elongation factor (EF-1α) gene and intergenic spacer region (IGS), but it is unclear how race or genotype based on these regions relates to population structure or virulence. We used genotyping-by-sequencing to identify SNPs and determine genetic diversity and population structure among 86 diverse FOV isolates. Six individuals of Fusarium oxysporum closely related to FOV were genotyped and included in some analyses. Between 193 and 354 SNPs were identified and included in the analyses depending on the pipeline and filtering criteria used. Phylogenetic trees, minimum spanning networks (MSNs), principal components analysis (PCA), and discriminant analysis of principal components (DAPC) demonstrated that races and genotypes of FOV are generally not structured by EF-1α genotype, nor are they monophyletic groups with the exception of race 4 isolates, which are distinct. Furthermore, DAPC identified between 11 and 14 genetically distinct clusters of FOV, whereas only eight EF-1α genotypes were represented among isolates; suggesting that FOV, especially isolates within the widely distributed and common race 1 genotype, is more genetically diverse than currently recognized.

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