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      Genotyping-by-Sequencing Identifies Historical Breeding Stages of the Recently Domesticated American Cranberry

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          Abstract

          The cranberry ( Vaccinium macrocarpon Ait.) is a North American fruit crop domesticated less than 200 years ago. The USDA began the first cranberry breeding program in response to false-blossom disease in 1929, but after the first generation of cultivars were released in the 1950s, the program was discontinued. Decades later, renewed efforts for breeding cranberry cultivars at Rutgers University and the University of Wisconsin yielded the first modern cultivars in the 2000’s. Phenotypic data suggests that current cultivars have changed significantly in terms of fruiting habits compared to original selections from endemic populations. However, due to the few breeding and selection cycles and short domestication period of the crop, it is unclear how much cultivated germplasm differs genetically from wild selections. Moreover, the extent to which selection for agricultural superior traits has shaped the genetic and phenotypic variation of cranberry remains mostly obscure. Here, a historical collection composed of 362 accessions, spanning wild germplasm, first-, second-, and third-generation selection cycles was studied to provide a window into the breeding and domestication history of cranberry. Genome-wide sequence variation of more than 20,000 loci showed directional selection across the stages of cranberry domestication and breeding. Diversity analysis and population structure revealed a partially defined progressive bottleneck when transitioning from early domestication stages to current cranberry forms. Additionally, breeding cycles correlated with phenotypic variation for yield-related traits and anthocyanin accumulation, but not for other fruit metabolites. Particularly, average fruit weight, yield, and anthocyanin content, which were common target traits during early selection attempts, increased dramatically in second- and third-generation cycle cultivars, whereas other fruit quality traits such as Brix and acids showed comparable variation among all breeding stages. Genome-wide association mapping in this diversity panel allowed us to identify marker-trait associations for average fruit weight and fruit rot, which are two traits of great agronomic relevance today and could be further exploited to accelerate cranberry genetic improvement. This study constitutes the first genome-wide analysis of cranberry genetic diversity, which explored how the recurrent use of wild germplasm and first-generation selections into cultivar development have shaped the evolutionary history of this crop species.

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          Most cited references66

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          TASSEL: software for association mapping of complex traits in diverse samples.

          Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly important. In most studies, however, researchers must contend with the confounding effects of both population and family structure. TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure. For result interpretation, the program allows for linkage disequilibrium statistics to be calculated and visualized graphically. Database browsing and data importation is facilitated by integrated middleware. Other features include analyzing insertions/deletions, calculating diversity statistics, integration of phenotypic and genotypic data, imputing missing data and calculating principal components.
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            Principal components analysis corrects for stratification in genome-wide association studies.

            Population stratification--allele frequency differences between cases and controls due to systematic ancestry differences-can cause spurious associations in disease studies. We describe a method that enables explicit detection and correction of population stratification on a genome-wide scale. Our method uses principal components analysis to explicitly model ancestry differences between cases and controls. The resulting correction is specific to a candidate marker's variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. Our simple, efficient approach can easily be applied to disease studies with hundreds of thousands of markers.
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              Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                16 December 2020
                2020
                : 11
                : 607770
                Affiliations
                [1] 1Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP) , Aguascalientes, Mexico
                [2] 2Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT) , El Batan, Mexico
                [3] 3Marucci Center for Blueberry and Cranberry Research and Extension Center, Rutgers University , Chatsworth, NJ, United States
                [4] 4Department of Plant Science, Rutgers University , New Brunswick, NJ, United States
                [5] 5Department of Horticulture, University of Wisconsin , Madison, WI, United States
                [6] 6USDA-ARS, Vegetable Crops Research Unit, University of Wisconsin , Madison, WI, United States
                Author notes

                Edited by: Athanassios Molassiotis, Aristotle University of Thessaloniki, Greece

                Reviewed by: Christopher M. Richards, National Laboratory for Genetic Resource Preservation (ARS-USDA), United States; Lisa Jeannine Rowland, Genetic Improvement of Fruits and Vegetables Laboratory, Agricultural Research Service, United States Department of Agriculture, United States

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2020.607770
                7772218
                f2c585a5-ab34-49a5-8d7c-77c2f560d122
                Copyright © 2020 Diaz-Garcia, Covarrubias-Pazaran, Johnson-Cicalese, Vorsa and Zalapa.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 September 2020
                : 20 November 2020
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 67, Pages: 13, Words: 0
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                american cranberry,domestication,genetic diversity,genome-wide association mapping,linkage disequilibrium,population structure,vaccinium

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