33 research outputs found

    Genetic structure and differentiation in cultivated fig (Ficus carica L.)

    Get PDF
    Abstract One hundred ninety-four germplasm accessions of fig representing the four fig types, Common, Smyrna, San Pedro, and Caprifig were analyzed for genetic diversity, structure, and differentiation using genetic polymorphism at 15 microsatellite loci. The collection showed considerable polymorphism with observed number of alleles per locus ranging from four for five different loci, MFC4, LMFC14, LMFC22, LMFC31 and LMFC35 to nine for LMFC30 with an average of 4.9 alleles per locus. Seven of the 15 loci included in the genetic structure analyses exhibited significant deviation from panmixia, of which two showed excess and five showed deficiency of heterozygote. The cluster analysis (CA) revealed ten groups with 32 instances of synonymy among cultivars and groups differed significantly for frequency and composition of alleles for different loci. The principal components analysis (PCA) confirmed the results of CA with some groups more differentiated than the others. Further, the model based Bayesian approach clustering suggested a subtle population structure with mixed ancestry for most figs. The gene diversity analysis indicated that much of the total variation is found within groups (H G /H T = 0.853; 85.3%) and the among groups within total component (G GT = 0.147) accounted for the remaining 14.7%, of which *64% accounted for among groups within clusters (G GC = 0.094) and *36% among clusters (G CT = 0.053). The analysis of molecular variance (AMOVA) showed approximately similar results with nearly 87% of variation within groups and *10% among groups within clusters, and *3% among clusters. Overall, the gene pool o

    Genetic structure and differentiation in cultivated fig (Ficus carica L.)

    Get PDF
    One hundred ninety-four germplasm accessions of fig representing the four fig types, Common, Smyrna, San Pedro, and Caprifig were analyzed for genetic diversity, structure, and differentiation using genetic polymorphism at 15 microsatellite loci. The collection showed considerable polymorphism with observed number of alleles per locus ranging from four for five different loci, MFC4, LMFC14, LMFC22, LMFC31 and LMFC35 to nine for LMFC30 with an average of 4.9 alleles per locus. Seven of the 15 loci included in the genetic structure analyses exhibited significant deviation from panmixia, of which two showed excess and five showed deficiency of heterozygote. The cluster analysis (CA) revealed ten groups with 32 instances of synonymy among cultivars and groups differed significantly for frequency and composition of alleles for different loci. The principal components analysis (PCA) confirmed the results of CA with some groups more differentiated than the others. Further, the model based Bayesian approach clustering suggested a subtle population structure with mixed ancestry for most figs. The gene diversity analysis indicated that much of the total variation is found within groups (HG/HT = 0.853; 85.3%) and the among groups within total component (GGT = 0.147) accounted for the remaining 14.7%, of which ~64% accounted for among groups within clusters (GGC = 0.094) and ~36% among clusters (GCT = 0.053). The analysis of molecular variance (AMOVA) showed approximately similar results with nearly 87% of variation within groups and ~10% among groups within clusters, and ~3% among clusters. Overall, the gene pool of cultivated fig analyzed possesses substantial genetic polymorphism but exhibits narrow differentiation. It is evident that fig accessions from Turkmenistan are somewhat genetically different from the rest of the Mediterranean and the Caucasus figs. The long history of domestication and cultivation with widespread dispersal of cultivars with many synonyms has resulted in a great deal of confusion in the identification and classification of cultivars in fig

    Genecology of Hawaiian Metrosideros

    Get PDF
    Thesis (Ph. D.)--University of Hawaii at Manoa, 1992.Includes bibliographical references.Microfiche.xix, 279 leaves, bound ill. 29 c

    Geographic Survey of Genetic Variation in Kava (Piper methysticum Forst. f. and P. wichmannii C. DC.)

    Get PDF
    A survey of the genetic resources of kava (Piper methysticum Forst. f. and P. wichmannii C. DC.) was conducted throughout the Pacific. Leaf tissues of more than 300 accessions, collected on 35 islands, were analyzed for isozyme variation in eight enzyme systems including ACO, ALD, DIA, IDH, MDH, ME, PGI, and PGM. Isozymes in P. methysticum cultivars from Polynesia and Micronesia were monomorphic for all enzyme systems examined; however, cultivars from Melanesia were polymorphic for ACO, DIA, MDH, and PGM. The genetic base of this crop is much narrower than previous morphological and biochemical studies suggest. Most of the morphotypes and chemotypes apparently originated through human selection and preservation of somatic mutations in a small number of original clones. Isozymes of P. wichmannii confirmed its status as the wild progenitor of kava. Piper methysticum cultivars and P. wichmannii and P. gibbilimbum C. DC. wild forms were all found to be decaploids with 2n = lOx = 130 chromosomes, but there was no firm evidence that interspecific hybridization has played a role in the origin of P. methysticum

    Allozyme variation in spineless pejibaye (Bactris gasipaes Palmae)

    No full text
    Allozyme variation was examined in three pejibaye (Bactris gasipaes) populations introduced into Hawaii for use in heart-of-palm improvement: Benjamin Constant (Putumayo landrace), San Carlos (Guatuso landrace) and Yurimaguas (Pampa Hermosa landrace). Nine enzymes encoded by 16 putative loci with a total of 38 alleles were resolved from meristem extract. Five loci were fixed in all populations, four additional loci were fixed in SC and one additional locus in BC. Six of the 38 alleles were rare, with three unique to BC and one to Y; two moderately high frequency alleles were unique to SC. Mean number of alleles per locus was lowest in SC (44) and highest in Y (69). Observed heterozygosity was lowest in SC (0.051) and BC (0.066) and highest in Y (0.141). Nei's genetic identity was 0.985 between BC and Y and averaged 0.952 between SC and BC-Y. The low heterozygosities are probably due to a long history of selection and inbreeding (sub-mating) during the domestication process, followed by intensive recent selection for spinelessness and more inbreeding. All populations are very closely related, suggesting a single domestication event in Amazonia

    Data from: Genomics assisted ancestry deconvolution in grape

    No full text
    The genus Vitis (the grapevine) is a group of highly diverse, diploid woody perennial vines consisting of approximately 60 species from across the northern hemisphere. It is the world’s most valuable horticultural crop with ~8 million hectares planted, most of which is processed into wine. To gain insights into the use of wild Vitis species during the past century of interspecific grape breeding and to provide a foundation for marker-assisted breeding programmes, we present a principal components analysis (PCA) based ancestry estimation method to calculate admixture proportions of hybrid grapes in the United States Department of Agriculture grape germplasm collection using genome-wide polymorphism data. We find that grape breeders have backcrossed to both the domesticated V. vinifera and wild Vitis species and that reasonably accurate genome-wide ancestry estimation can be performed on interspecific Vitis hybrids using a panel of fewer than 50 ancestry informative markers (AIMs). We compare measures of ancestry informativeness used in selecting SNP panels for two-way admixture estimation, and verify the accuracy of our method on simulated populations of admixed offspring. Our method of ancestry deconvolution provides a first step towards selection at the seed or seedling stage for desirable admixture profiles, which will facilitate marker-assisted breeding that aims to introgress traits from wild Vitis species while retaining the desirable characteristics of elite V. vinifera cultivars

    Data from: Vitis phylogenomics: hybridization intensities from a SNP array outperform genotype calls

    No full text
    Understanding relationships among species is a fundamental goal of evolutionary biology. Single nucleotide polymorphisms (SNPs) identified through next generation sequencing and related technologies enable phylogeny reconstruction by providing unprecedented numbers of characters for analysis. One approach to SNP-based phylogeny reconstruction is to identify SNPs in a subset of individuals, and then to compile SNPs on an array that can be used to genotype additional samples at hundreds or thousands of sites simultaneously. Although powerful and efficient, this method is subject to ascertainment bias because applying variation discovered in a representative subset to a larger sample favors identification of SNPs with high minor allele frequencies and introduces bias against rare alleles. Here, we demonstrate that the use of hybridization intensity data, rather than genotype calls, reduces the effects of ascertainment bias. Whereas traditional SNP calls assess known variants based on diversity housed in the discovery panel, hybridization intensity data survey variation in the broader sample pool, regardless of whether those variants are present in the initial SNP discovery process. We apply SNP genotype and hybridization intensity data derived from the Vitis9kSNP array developed for grape to show the effects of ascertainment bias and to reconstruct evolutionary relationships among Vitis species. We demonstrate that phylogenies constructed using hybridization intensities suffer less from the distorting effects of ascertainment bias, and are thus more accurate than phylogenies based on genotype calls. Moreover, we reconstruct the phylogeny of the genus Vitis using hybridization data, show that North American subgenus Vitis species are monophyletic, and resolve several previously poorly known relationships among North American species. This study builds on earlier work that applied the Vitis9kSNP array to evolutionary questions within Vitis vinifera and has general implications for addressing ascertainment bias in array-enabled phylogeny reconstruction
    corecore