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      Genome-wide investigation of WRKY gene family in pineapple: evolution and expression profiles during development and stress

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          Abstract

          Background

          WRKY proteins comprise a large family of transcription factors that play important roles in many aspects of physiological processes and adaption to environment. However, little information was available about the WRKY genes in pineapple ( Ananas comosus), an important tropical fruits. The recent release of the whole-genome sequence of pineapple allowed us to perform a genome-wide investigation into the organization and expression profiling of pineapple WRKY genes.

          Results

          In the present study, 54 pineapple WRKY (AcWRKY) genes were identified and renamed on the basis of their respective chromosome distribution. According to their structural and phylogenetic features, the 54 AcWRKYs were further classified into three main groups with several subgroups. The segmental duplication events played a major role in the expansion of pineapple WRKY gene family. Synteny analysis and phylogenetic comparison of group III WRKY genes provided deep insight into the evolutionary characteristics of pineapple WRKY genes. Expression profiles derived from transcriptome data and real-time quantitative PCR analysis exhibited distinct expression patterns of AcWRKY genes in various tissues and in response to different abiotic stress and hormonal treatments.

          Conclusions

          Fifty four WRKY genes were identified in pineapple and the structure of their encoded proteins, their evolutionary characteristics and expression patterns were examined in this study. This systematic analysis provided a foundation for further functional characterization of WRKY genes with an aim of pineapple crop improvement.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-4880-x) contains supplementary material, which is available to authorized users.

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          Most cited references41

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          KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies

          We present an integrated stand-alone software package named KaKs_Calculator 2.0 as an updated version. It incorporates 17 methods for the calculation of nonsynonymous and synonymous substitution rates; among them, we added our modified versions of several widely used methods as the gamma series including γ-NG, γ-LWL, γ-MLWL, γ-LPB, γ-MLPB, γ-YN and γ-MYN, which have been demonstrated to perform better under certain conditions than their original forms and are not implemented in the previous version. The package is readily used for the identification of positively selected sites based on a sliding window across the sequences of interests in 5’ to 3’ direction of protein-coding sequences, and have improved the overall performance on sequence analysis for evolution studies. A toolbox, including C++ and Java source code and executable files on both Windows and Linux platforms together with a user instruction, is downloadable from the website for academic purpose at https://sourceforge.net/projects/kakscalculator2/.
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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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              [GSDS: a gene structure display server].

              We developed a web server GSDS (Gene Structure Display Server) for drawing gene structure schematic diagrams. Users can submit three types of dataCDS and genomic sequences, NCBI GenBank accession numbers or GIs, exon positions on a gene. GSDS uses this information to obtain the gene structure and draw diagram for it. Users can also designate some special regions to mark on the gene structure diagram. The output result will be PNG or SVG format picture. The corresponding sequence will be shown in a new window by clicking the picture in PNG format. A Chinese version for the main page is also built. The GSDS is available on http://gsds.cbi.pku.edu.cn/.
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                Author and article information

                Contributors
                1551433633@qq.com
                chengjiechen@stu.scau.edu.cn
                lichuhao@stu.scau.edu.cn
                659565130@qq.com
                +86-020-85288262 , liuchaoyang@scau.edu.cn
                +86-020-85288262 , heyehua@hotmail.com
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                25 June 2018
                25 June 2018
                2018
                : 19
                : 490
                Affiliations
                [1 ]ISNI 0000 0000 9546 5767, GRID grid.20561.30, Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, , Ministry of Agriculture, South China Agricultural University, ; Guangzhou, 510642 China
                [2 ]ISNI 0000 0000 9546 5767, GRID grid.20561.30, College of Horticulture, , South China Agricultural University, ; Guangzhou, 510642 China
                Article
                4880
                10.1186/s12864-018-4880-x
                6019807
                29940851
                a4e37d4d-04fd-49ce-9c6c-85e29bdefed7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

                History
                : 28 August 2017
                : 18 June 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31572089
                Funded by: Technology Commission of Guangdong Province
                Award ID: 2013B020304002
                Award Recipient :
                Funded by: Modern Agricultural Industry Technology System of Guangdong Province
                Award ID: 2016LM1128
                Funded by: Foundation of Young Creative Talents in Higher Education of Guangdong Province
                Award ID: 2017KQNCX020
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Genetics
                pineapple,wrky,genome-wide,expression patterns,abiotic stress
                Genetics
                pineapple, wrky, genome-wide, expression patterns, abiotic stress

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