PLoS ONE · 2019 · 82 citations · 51 references
Life SciencesGeneticsPlant SciencesPlant GeneticsPlant GenomicsPopulation GeneticsCrop DiversityGenetic DiversityGenetic Diversity AssessmentGermplasm CharacterizationPopulation Genetics In PlantsPopulation GenomicsCrop Diversity AssessmentGenomic Diversity AnalysisGenomic Diversity AssessmentMarker-based Diversity AssessmentModel Structure AnalysisPolymorphism Information ContentPopulation Genetic DiversityPrincipal Coordinates Analysis
Safflower (Carthamus tinctorius L.) is a multipurpose crop of dry land yielding very high quality of edible oil. Present study was aimed to investigate the genetic diversity and population structure of 131 safflower accessions originating from 28 different countries using 13 iPBS-retrotransposon markers. A total of 295 iPBS bands were observed among which 275 (93.22%) were found polymorphic. Mean Polymorphism information content (0.48) and diversity parameters including mean effective number of alleles (1.33), mean Shannon's information index (0.33), overall gene diversity (0.19), Fstatistic (0.21), and inbreeding coefficient (1.00) reflected the presence of sufficient amount of genetic diversity in the studied plant materials. Analysis of molecular variance (AMOVA) showed that more than 40% of genetic variation was derived from populations. Model-based structure, principal coordinate analysis (PCoA) and unweighted pair-group method with arithmetic means (UPGMA) algorithms clustered the 131 safflower accessions into four main populations A, B, C, D and an unclassified population, with no meaningful geographical origin. Most diverse accessions originated from Asian countries including Afghanistan, Pakistan, China, Turkey, and India. Four accessions, Turkey3, Afghanistan4, Afghanistan2, and Pakistan24 were found most genetically distant and might be recommended as a candidate parents for breeding purposes. The findings of this study are most probably supported by the seven similarity centers hypothesis of safflower. This is a first study to explore the genetic diversity and population structure in safflower accessions using the iPBS-retrotransposon markers. The information provided in this work will therefore be helpful for scientists interested in safflower breeding.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Optimizing parental selection for genetic linkage maps
James A. Anderson, G. A. Churchill, J. E. Autrique et al. · Genome · 1993 · 1.5K citations