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      A Global Analysis of the Polygalacturonase Gene Family in Soybean ( Glycine max)

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          Abstract

          Polygalacturonase is one of the pectin hydrolytic enzymes involved in various developmental and physiological processes such as seed germination, organ abscission, pod and anther dehiscence, and xylem cell formation. To date, no systematic analysis of polygalacturonase incorporating genome organization, gene structure, and expression profiling has been conducted in soybean ( Glycine max var. Williams 82). In this study, we identified 112 GmPG genes from the soybean Wm82.a2v1 genome. These genes were classified into three groups, group I (105 genes), group II (5 genes), and group III (2 genes). Fifty-four pairs of duplicate paralogous genes were preferentially identified from duplicated regions of the soybean genome, which implied that long segmental duplications significantly contributed to the expansion of the GmPG gene family. Moreover, GmPG transcripts were analyzed in various tissues using RNA-seq data. The results showed the differential expression of 64 GmPGs in the tissue and partially redundant expression of some duplicate genes, while others showed functional diversity. These findings suggested that the GmPGs were retained by substantial subfunctionalization during the soybean evolutionary processes. Finally, evolutionary analysis based on single nucleotide polymorphisms (SNPs) in wild and cultivated soybeans revealed that 107 GmPGs had selected site(s), which indicated that these genes may have undergone strong selection during soybean domestication. Among them, one non-synonymous SNP of GmPG031 affected floral development during selection, which was consistent with the results of RNA-seq and evolutionary analyses. Thus, our results contribute to the functional characterization of GmPG genes in soybean.

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          Most cited references28

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          TreeView: an application to display phylogenetic trees on personal computers.

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            The roles of segmental and tandem gene duplication in the evolution of large gene families in Arabidopsis thaliana

            Background Most genes in Arabidopsis thaliana are members of gene families. How do the members of gene families arise, and how are gene family copy numbers maintained? Some gene families may evolve primarily through tandem duplication and high rates of birth and death in clusters, and others through infrequent polyploidy or large-scale segmental duplications and subsequent losses. Results Our approach to understanding the mechanisms of gene family evolution was to construct phylogenies for 50 large gene families in Arabidopsis thaliana, identify large internal segmental duplications in Arabidopsis, map gene duplications onto the segmental duplications, and use this information to identify which nodes in each phylogeny arose due to segmental or tandem duplication. Examples of six gene families exemplifying characteristic modes are described. Distributions of gene family sizes and patterns of duplication by genomic distance are also described in order to characterize patterns of local duplication and copy number for large gene families. Both gene family size and duplication by distance closely follow power-law distributions. Conclusions Combining information about genomic segmental duplications, gene family phylogenies, and gene positions provides a method to evaluate contributions of tandem duplication and segmental genome duplication in the generation and maintenance of gene families. These differences appear to correspond meaningfully to differences in functional roles of the members of the gene families.
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              Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection.

              We report a large-scale analysis of the patterns of genome-wide genetic variation in soybeans. We re-sequenced a total of 17 wild and 14 cultivated soybean genomes to an average of approximately ×5 depth and >90% coverage using the Illumina Genome Analyzer II platform. We compared the patterns of genetic variation between wild and cultivated soybeans and identified higher allelic diversity in wild soybeans. We identified a high level of linkage disequilibrium in the soybean genome, suggesting that marker-assisted breeding of soybean will be less challenging than map-based cloning. We report linkage disequilibrium block location and distribution, and we identified a set of 205,614 tag SNPs that may be useful for QTL mapping and association studies. The data here provide a valuable resource for the analysis of wild soybeans and to facilitate future breeding and quantitative trait analysis.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 September 2016
                2016
                : 11
                : 9
                : e0163012
                Affiliations
                [1 ]Northeast Institute of Geography and Agroecology, Key Laboratory of Soybean Molecular Design Breeding, the Chinese Academy of Sciences, Harbin, 150081, China
                [2 ]University of Chinese Academy of Sciences, Beijing, 100049, China
                [3 ]School of Computer Science and Technology, Heilongjiang University, Harbin, 150080, China
                [4 ]School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
                Chinese University of Hong Kong, HONG KONG
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: FW XY.

                • Data curation: FW XS.

                • Formal analysis: FW HZ.

                • Funding acquisition: FW.

                • Investigation: FW XyS.

                • Methodology: FW XS.

                • Project administration: CT.

                • Resources: BL.

                • Software: XyS.

                • Supervision: XY BL FK.

                • Validation: HZ.

                • Visualization: FW FK.

                • Writing – original draft: FW.

                • Writing – review & editing: FW XY.

                Article
                PONE-D-16-18979
                10.1371/journal.pone.0163012
                5033254
                27657691
                3640c3cb-92ff-4a0e-b030-e41e25a2609a
                © 2016 Wang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 May 2016
                : 1 September 2016
                Page count
                Figures: 9, Tables: 1, Pages: 23
                Funding
                Funded by: National Natural Science Foundation of China (CN)
                Award ID: No. 31301337
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100005046, Natural Science Foundation of Heilongjiang Province;
                Award ID: No. QC2014C036
                Award Recipient :
                This study was supported by the National Natural Science Foundation of China (No. 31301337) and the National Natural Science Foundation of Heilongjiang Province (No. QC2014C036). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Soybean
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                Arabidopsis Thaliana
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                Plant Science
                Plant Anatomy
                Flowers
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                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

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