Genetic diversity and population structure analysis of chickpea (Cicer arietinum L.) advanced breeding lines using whole-genome DArTseq-generated SilicoDArT markers

2020 ◽  
Vol 43 (3) ◽  
pp. 541-549
Author(s):  
Hiva Seyedimoradi ◽  
Reza Talebi ◽  
Homayoun Kanouni ◽  
Amir Mohammad Naji ◽  
Ezzat Karami
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Cicer Arietinum ◽  
Structure Analysis ◽  
Whole Genome ◽  
Breeding Lines ◽  
Cicer Arietinum L ◽  
Population Structure Analysis

Genetic diversity assessment and population structure analysis of pomegranate cultivars from different countries and Himalayan wild accessions

2021 ◽  
pp. 1-10
Author(s):  
Raghavendra Gunnaiah ◽  
Rudrappa C. Jagadeesha ◽  
Sarvamangala Cholin ◽  
Guranna Prabhuling ◽  
Ammanaghatta Govindaswamy Babu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Structure Analysis ◽  
Population Structure Analysis ◽  
Diversity Assessment ◽  
Wild Accessions

scholarly journals Genetic diversity and population structure analysis of Lateolabrax maculatus from Chinese coastal waters using polymorphic microsatellite markers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Wang ◽  
Chunyan Ma ◽  
Longling Ouyang ◽  
Wei Chen ◽  
Ming Zhao ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Structure Analysis ◽  
Principal Component ◽  
Genetic Constitution ◽  
Southern Group ◽  
Population Structure Analysis ◽  
Lateolabrax Maculatus ◽  
Geographic Populations ◽  
Geographic Separation

AbstractIn order to provide valuable guidelines for the conservation of germplasm of Lateolabrax maculatus, the genetic diversity and population structure analysis were evaluated for eight geographic populations along coastal regions of China, using 11 microsatellite DNA markers. The genetic parameters obtained showed that, eight populations can be clustered into two groups, the Northern group and the Southern group, concordant with their geographical positions. The UPGMA tree constructed according to the Nei’s genetic distance along with the structure analysis and discriminant analysis of principal component also supported this result. This might be explained by the geographic separation and the divergent environmental conditions among the populations. It's worth noting that, QD (Qingdao) population from northern area was assigned to the Southern group and showed a close genetic relationship and similar genetic constitution with the southern populations. We speculated that large scales of anthropogenic transportation of wild fries from QD populations to the southern aquaculture areas in history should be the primary cause. The populations from GY (Ganyu), RD (Rudong) and BH (Binhai) had higher genetic diversity and showed limited genetic exchange with other populations, indicating better conservation of the natural resources in these regions. All populations were indicated to have experienced bottleneck events in history.

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 Genetic diversity and population structure analysis of Saccharum and Erianthus genera using microsatellite (SSR) markers

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ahmad Ali ◽  
Yong-Bao Pan ◽  
Qin-Nan Wang ◽  
Jin-Da Wang ◽  
Jun-Lü Chen ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Structure Analysis ◽  
Population Structure Analysis

Development of a leafy Brassica rapa fixed line collection for genetic diversity and population structure analysis

2015 ◽  
Vol 35 (1) ◽  
Author(s):  
Wenxing Pang ◽  
Xiaonan Li ◽  
Su Ryun Choi ◽  
Vignesh Dhandapani ◽  
Subin Im ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Structure Analysis ◽  
Brassica Rapa ◽  
Population Structure Analysis ◽  
Fixed Line
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