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      Genome-wide characterization and expression profiling of NAC transcription factor genes under abiotic stresses in radish ( Raphanus sativus L.)

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          Abstract

          NAC (NAM, no apical meristem; ATAF, Arabidopsis transcription activation factor and CUC, cup-shaped cotyledon) proteins are among the largest transcription factor (TF) families playing fundamental biological processes, including cell expansion and differentiation, and hormone signaling in response to biotic and abiotic stresses. In this study, 172 RsNACs comprising 17 membrane-bound members were identified from the whole radish genome. In total, 98 RsNAC genes were non-uniformly distributed across the nine radish chromosomes. In silico analysis revealed that expression patterns of several NAC genes were tissue-specific such as a preferential expression in roots and leaves. In addition, 21 representative NAC genes were selected to investigate their responses to heavy metals (HMs), salt, heat, drought and abscisic acid (ABA) stresses using real-time polymerase chain reaction (RT-qPCR). As a result, differential expressions among these genes were identified where RsNAC023 and RsNAC080 genes responded positively to all stresses except ABA, while RsNAC145 responded more actively to salt, heat and drought stresses compared with other genes. The results provides more valuable information and robust candidate genes for future functional analysis for improving abiotic stress tolerances in radish.

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          Protein Identification and Analysis Tools on the ExPASy Server

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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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              PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors

              With the aim to provide a resource for functional and evolutionary study of plant transcription factors (TFs), we updated the plant TF database PlantTFDB to version 3.0 (http://planttfdb.cbi.pku.edu.cn). After refining the TF classification pipeline, we systematically identified 129 288 TFs from 83 species, of which 67 species have genome sequences, covering main lineages of green plants. Besides the abundant annotation provided in the previous version, we generated more annotations for identified TFs, including expression, regulation, interaction, conserved elements, phenotype information, expert-curated descriptions derived from UniProt, TAIR and NCBI GeneRIF, as well as references to provide clues for functional studies of TFs. To help identify evolutionary relationship among identified TFs, we assigned 69 450 TFs into 3924 orthologous groups, and constructed 9217 phylogenetic trees for TFs within the same families or same orthologous groups, respectively. In addition, we set up a TF prediction server in this version for users to identify TFs from their own sequences.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                15 December 2017
                2017
                : 5
                : e4172
                Affiliations
                [1 ]National Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Horticultural Crop Biology and Genetic Improvement (East China) of MOA, College of Horticulture, Nanjing Agricultural University , Nanjing, China
                [2 ]Department of Plant Sciences, North Dakota State University , Fargo, ND, United States of America
                Article
                4172
                10.7717/peerj.4172
                5733918
                3761993d-0e01-42ca-967c-914ce2bff842
                ©2017 Karanja et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 23 June 2017
                : 28 November 2017
                Funding
                Funded by: Natural Science Foundation of China
                Award ID: 31501759
                Award ID: 31601766
                Funded by: National Key Technology Research and Development Program of China
                Award ID: 2016YFD0100204-25
                Funded by: Key Technology R & D Program of Jiangsu Province
                Award ID: BE2016379
                Funded by: Jiangsu Agricultural Science and Technology Innovation Fund
                Award ID: JASTIF
                Award ID: CX (16) 1012
                This work was supported by grants from the Natural Science Foundation of China (31501759, 31601766), National Key Technology Research and Development Program of China (2016YFD0100204-25), Key Technology R & D Program of Jiangsu Province (BE2016379) and Jiangsu Agricultural Science and Technology Innovation Fund (JASTIF, CX (16) 1012). There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Genomics
                Plant Science

                abiotic stress,expression profiling,radish,genome-wide analysis,nac,transcription factor

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