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      Whole genome re-sequencing of sweet cherry ( Prunus avium L.) yields insights into genomic diversity of a fruit species

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          Abstract

          Sweet cherries, Prunus avium L. ( Rosaceae), are gaining importance due to their perenniallity and nutritional attributes beneficial for human health. Interestingly, sweet cherry cultivars exhibit a wide range of phenotypic diversity in important agronomic traits, such as flowering time and defense reactions against pathogens. In this study, whole-genome resequencing (WGRS) was employed to characterize genetic variation, population structure and allelic variants in a panel of 20 sweet cherry and one wild cherry genotypes, embodying the majority of cultivated Greek germplasm and a representative of a local wild cherry elite phenotype. The 21 genotypes were sequenced in an average depth of coverage of 33.91×. and effective mapping depth, to the genomic reference sequence of ‘Satonishiki’ cultivar, between 22.21× to 36.62×. Discriminant analysis of principal components (DAPC) with SNPs revealed two clusters of genotypes. There was a rapid linkage disequilibrium decay, as the majority of SNP pairs with r 2 in near complete disequilibrium (>0.8) were found at physical distances less than 10 kb. Functional analysis of the variants showed that the genomic ratio of non-synonymous/synonymous (dN/dS) changes was 1.78. The higher dN frequency in the Greek cohort of sweet cherry could be the result of artificial selection pressure imposed by breeding, in combination with the vegetative propagation of domesticated cultivars through grafting. The majority of SNPs with high impact (e.g., stop codon gaining, frameshift), were identified in genes involved in flowering time, dormancy and defense reactions against pathogens, providing promising resources for future breeding programs. Our study has established the foundation for further large scale characterization of sweet cherry germplasm, enabling breeders to incorporate diverse germplasm and allelic variants to fine tune flowering and maturity time and disease resistance in sweet cherry cultivars.

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          Molecular analysis of FRIGIDA, a major determinant of natural variation in Arabidopsis flowering time.

          Vernalization, the acceleration of flowering by a long period of cold temperature, ensures that many plants overwinter vegetatively and flower in spring. In Arabidopsis, allelic variation at the FRIGIDA (FRI) locus is a major determinant of natural variation in flowering time. Dominant alleles of FRI confer late flowering, which is reversed to earliness by vernalization. We cloned FRI and analyzed the molecular basis of the allelic variation. Most of the early-flowering ecotypes analyzed carry FRI alleles containing one of two different deletions that disrupt the open reading frame. Loss-of-function mutations at FRI have thus provided the basis for the evolution of many early-flowering ecotypes.
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            It's time to flower: the genetic control of flowering time.

            In plants, successful sexual reproduction and the ensuing development of seeds and fruits depend on flowering at the right time. This involves coordinating flowering with the appropriate season and with the developmental history of the plant. Genetic and molecular analysis in the small cruciform weed, Arabidopsis, has revealed distinct but linked pathways that are responsible for detecting the major seasonal cues of day length and cold temperature, as well as other local environmental and internal signals. The balance of signals from these pathways is integrated by a common set of genes to determine when flowering occurs. Excitingly, it has been discovered that many of these same genes regulate flowering in other plants, such as rice. This review focuses on recent advances in how three of the signalling pathways (the day-length, vernalisation and autonomous pathways) function to control flowering. Copyright 2004 Wiley-Liss, Inc.
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              Exploring genetic variation in the tomato (Solanum section Lycopersicon) clade by whole-genome sequencing.

              Erik Smets (2014)
              We explored genetic variation by sequencing a selection of 84 tomato accessions and related wild species representative of the Lycopersicon, Arcanum, Eriopersicon and Neolycopersicon groups, which has yielded a huge amount of precious data on sequence diversity in the tomato clade. Three new reference genomes were reconstructed to support our comparative genome analyses. Comparative sequence alignment revealed group-, species- and accession-specific polymorphisms, explaining characteristic fruit traits and growth habits in the various cultivars. Using gene models from the annotated Heinz 1706 reference genome, we observed differences in the ratio between non-synonymous and synonymous SNPs (dN/dS) in fruit diversification and plant growth genes compared to a random set of genes, indicating positive selection and differences in selection pressure between crop accessions and wild species. In wild species, the number of single-nucleotide polymorphisms (SNPs) exceeds 10 million, i.e. 20-fold higher than found in most of the crop accessions, indicating dramatic genetic erosion of crop and heirloom tomatoes. In addition, the highest levels of heterozygosity were found for allogamous self-incompatible wild species, while facultative and autogamous self-compatible species display a lower heterozygosity level. Using whole-genome SNP information for maximum-likelihood analysis, we achieved complete tree resolution, whereas maximum-likelihood trees based on SNPs from ten fruit and growth genes show incomplete resolution for the crop accessions, partly due to the effect of heterozygous SNPs. Finally, results suggest that phylogenetic relationships are correlated with habitat, indicating the occurrence of geographical races within these groups, which is of practical importance for Solanum genome evolution studies. © 2014 The Authors The Plant Journal © 2014 John Wiley & Sons Ltd.
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                Author and article information

                Contributors
                aliki.xanthopoulou@gmail.com
                giannis.ganopoulos@gmail.com
                Journal
                Hortic Res
                Hortic Res
                Horticulture Research
                Nature Publishing Group UK (London )
                2662-6810
                2052-7276
                1 May 2020
                1 May 2020
                2020
                : 7
                : 60
                Affiliations
                [1 ]ISNI 0000000109457005, GRID grid.4793.9, Laboratory of Pomology, Department of Agriculture, , Aristotle University of Thessaloniki, ; 54124 Thessaloniki, Greece
                [2 ]Institute of Plant Breeding and Genetic Resources, ELGO-DEMETER. Thermi, Thessaloniki, 570001 Greece
                [3 ]ISNI 0000 0004 0411 5462, GRID grid.501377.7, Perrotis College, American Farm School, ; Thessaloniki, GR-57001 Greece
                [4 ]ISNI 0000000109457005, GRID grid.4793.9, Laboratory of Forest Genetics & Tree Breeding, Faculty of Agriculture, Forestry & Environmental Science, , Aristotle University of Thessaloniki, ; Thessaloniki, Greece
                [5 ]Institute of Plant Breeding and Genetic Resources, ELGO-DEMETER. Department of Deciduous Fruit Growing, Naoussa, 59035 Greece
                [6 ]ISNI 0000 0001 2216 5285, GRID grid.423747.1, Institute of Applied Biosciences, , CERTH, Thermi, ; Thessaloniki, 570 01 Greece
                Author information
                http://orcid.org/0000-0001-5118-2244
                Article
                281
                10.1038/s41438-020-0281-9
                7193578
                32377351
                73994620-553e-4322-9800-f311cc306afa
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 November 2019
                : 17 January 2020
                : 18 February 2020
                Funding
                Funded by: Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT)
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                comparative genomics,next-generation sequencing
                comparative genomics, next-generation sequencing

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