2020
DOI: 10.3390/d12030103
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Genetic Diversity and Population Structure in a Vitis spp. Core Collection Investigated by SNP Markers

Abstract: Single nucleotide polymorphism (SNP) genotyping arrays are powerful tools to measure the level of genetic polymorphism within a population. The coming of next-generation sequencing technologies led to identifying thousands and millions of SNP loci useful in assessing the genetic diversity. The Vitis genotyping array, containing 18k SNP loci, has been developed and used to detect genetic diversity of Vitis vinifera germplasm. So far, this array was not validated on non-vinifera genotypes used as grapevine roots… Show more

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Cited by 20 publications
(16 citation statements)
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References 60 publications
(135 reference statements)
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“… 29 31 . Their use is increasing, taking advantage of automated processing, high repeatability, and the richness of information they provide, depending on the number of SNPs scored 14 , 16 , 22 , 32 , 33 .…”
Section: Introductionmentioning
confidence: 99%
“… 29 31 . Their use is increasing, taking advantage of automated processing, high repeatability, and the richness of information they provide, depending on the number of SNPs scored 14 , 16 , 22 , 32 , 33 .…”
Section: Introductionmentioning
confidence: 99%
“…Following several updates of the genome sequence and creation of the GrapeReSeq consortium, an 18K SNP array was presented for cultivar identification, parental and population structure clarification, genetic diversity assessment, and applicability for GWAS [ 25 ]. The 18K SNP array has been used in many instances; analysis of 279 accessions in the French germplasm repository demonstrated the suitability for identification of associations with highly precise phenotyping data [ 94 ], while analysis of a core collection of rootstock accessions (including different Vitis species and interspecific hybrids) demonstrated great marker transferability [ 95 ]. Analysis of 150 wild V. vinifera subsp.…”
Section: Genetic Diversitymentioning
confidence: 99%
“…The remaining 158 isolates showed breadth of coverage of >80% (S Fig. 2 A), and ve SCs (SC 27,28,33,34,36) had lower breadth of coverage ranging from 49.6 to 73.8% (S Fig. 2 B).…”
Section: Selection Of Isolates For Re-sequencingmentioning
confidence: 99%
“…Initially, the popular Bayesian-based STRUCTURE software was tested for population structure analysis; it imposed tremendous computational burden due to the large number of variants involved, making implementation extremely ine cient. Landscape and ecological association (LEA), an R package [22], was used to perform STRUCTURE-like analysis and estimate admixture coe cients e ciently with improved algorithms [21,34]. LEA was run rst to establish a curve of cross-entropy versus number of ancestral populations, the optimal number K=3 indicated three ancestral populations in western Canada (Fig.…”
Section: Pca Analysis Of L Maculans Isolatesmentioning
confidence: 99%