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      Genome-wide association mapping reveals new loci associated with light-colored seed coat at harvest and slow darkening in carioca beans

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          Abstract

          Background

          Common bean ( Phaseolus vulgaris L.) is a legume whose grain can be stored for months, a common practice among Brazilian growers. Over time, seed coats become darker and harder to cook, traits that are undesirable to consumers, who associate darker-colored beans with greater age. Like commercial pinto and cranberry bean varieties, carioca beans that have darker seeds at harvest time and after storage are subject to decreased market values.

          Results

          The goal of our study was to identify the genetic control associated with lightness of seed coat color at harvest (HL) and with tolerance to post-harvest seed coat darkening (PHD) by a genome-wide association study. For that purpose, a carioca diversity panel previously validated for association mapping studies was used with 138 genotypes and 1,516 high-quality SNPs. The panel was evaluated in two environments using a colorimeter and the CIELAB scale. Shelf storage for 30 days had the most expressive results and the L* (luminosity) parameter led to the greatest discrimination of genotypes. Three QTL were identified for HL, two on chromosome Pv04 and one on Pv10. Regarding PHD, results showed that genetic control differs for L* after 30 days and for the ΔL* (final L*—initial L*); only ΔL* was able to properly express the PHD trait. Four phenotypic classes were proposed, and five QTL were identified through six significant SNPs.

          Conclusions

          Lightness of seed coat color at harvest showed an oligogenic inheritance corroborated by moderate broad-sense heritability and high genotypic correlation among the experiments. Only three QTL were significant for this trait – two were mapped on Pv04 and one on Pv10. Considering the ΔL, six QTL were mapped on four different chromosomes for PHD. The same HL QTL at the beginning of Pv10 was also associated with ΔL* and could be used as a tool in marker-assisted selection. Several candidate genes were identified and may be useful to accelerate the genetic breeding process.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12870-021-03122-2.

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          Most cited references51

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          Estimating the Dimension of a Model

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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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              Efficient methods to compute genomic predictions.

              P VanRaden (2008)
              Efficient methods for processing genomic data were developed to increase reliability of estimated breeding values and to estimate thousands of marker effects simultaneously. Algorithms were derived and computer programs tested with simulated data for 2,967 bulls and 50,000 markers distributed randomly across 30 chromosomes. Estimation of genomic inbreeding coefficients required accurate estimates of allele frequencies in the base population. Linear model predictions of breeding values were computed by 3 equivalent methods: 1) iteration for individual allele effects followed by summation across loci to obtain estimated breeding values, 2) selection index including a genomic relationship matrix, and 3) mixed model equations including the inverse of genomic relationships. A blend of first- and second-order Jacobi iteration using 2 separate relaxation factors converged well for allele frequencies and effects. Reliability of predicted net merit for young bulls was 63% compared with 32% using the traditional relationship matrix. Nonlinear predictions were also computed using iteration on data and nonlinear regression on marker deviations; an additional (about 3%) gain in reliability for young bulls increased average reliability to 66%. Computing times increased linearly with number of genotypes. Estimation of allele frequencies required 2 processor days, and genomic predictions required <1 d per trait, and traits were processed in parallel. Information from genotyping was equivalent to about 20 daughters with phenotypic records. Actual gains may differ because the simulation did not account for linkage disequilibrium in the base population or selection in subsequent generations.
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                Author and article information

                Contributors
                caleoalmeida@hotmail.com
                isa-laporte@hotmail.com
                jeanbiotec@gmail.com
                caio.panfs@gmail.com
                cassia.cristina97@hotmail.com
                climonta@iac.sp.gov.br
                gabriel_demoraes@hotmail.com
                qijian.song@usda.gov
                sergio.carbonell@sp.gov.br
                alisson.chiorato@sp.gov.br
                luciana.reis@sp.gov.br
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                20 July 2021
                20 July 2021
                2021
                : 21
                : 343
                Affiliations
                [1 ]GRID grid.510149.8, ISNI 0000 0001 2364 4157, Common Bean Genetic Group, Natural Center of Plant Genetics, , Agronomic Institute (IAC), ; Campinas, SP Brazil
                [2 ]GRID grid.510149.8, ISNI 0000 0001 2364 4157, Common Bean Breeding Group, Grain and Fiber Center, , Agronomic Institute (IAC), ; Campinas, SP Brazil
                [3 ]USDA-ARSSoybean Genomics and Improvement Lab, Beltsville, MD USA
                Author information
                http://orcid.org/0000-0002-2416-219X
                http://orcid.org/0000-0002-0827-5215
                http://orcid.org/0000-0002-3208-7716
                http://orcid.org/0000-0003-2118-5254
                http://orcid.org/0000-0002-9866-9516
                http://orcid.org/0000-0001-9745-0929
                http://orcid.org/0000-0001-9672-2240
                http://orcid.org/0000-0003-2964-972X
                http://orcid.org/0000-0002-7004-4717
                http://orcid.org/0000-0003-1008-5936
                Article
                3122
                10.1186/s12870-021-03122-2
                8290572
                34284717
                be692c3f-ce3b-43b2-8006-5a3c5492bc6d
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 31 March 2021
                : 1 July 2021
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                © The Author(s) 2021

                Plant science & Botany
                phaseolus vulgaris l.,late seed coat darkening,seed coat lightness,cielab scale

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