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      Mitogen-Activated Protein Kinase Expression Profiling Revealed Its Role in Regulating Stress Responses in Potato ( Solanum tuberosum)

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          Abstract

          Mitogen-activated protein kinase (MAPK) cascades are the universal signal transduction networks that regulate cell growth and development, hormone signaling, and other environmental stresses. However, their essential contribution to plant tolerance is very little known in the potato ( Solanum tuberosum) plant. The current study carried out a genome-wide study of StMAPK and provided a deep insight using bioinformatics tools. In addition, the relative expression of StMAPKs was also assessed in different plant tissues. The similarity search results identified a total of 22 StMAPK genes in the potato genome. The sequence alignment also showed conserved motif TEY/TDY in most StMAPKs with conserved docking LHDXXEP sites. The phylogenetic analysis divided all 22 StMAPK genes into five groups, i.e., A, B, C, D, and E, showing some common structural motifs. In addition, most of the StMAPKs were found in a cluster form at the terminal of chromosomes. The promoter analysis predicted several stress-responsive Cis-acting regulatory elements in StMAPK genes. Gene duplication under selection pressure also indicated several purifying and positive selections in StMAPK genes. In potato, StMAPK2, StMAPK6, and StMAPK19 showed a high expression in response to heat stress. Under ABA and IAA treatment, the expression of the total 20 StMAPK genes revealed that ABA and IAA played an essential role in this defense process. The expression profiling and real-time qPCR (RT-qPCR) exhibited their high expression in roots and stems compared to leaves. These results deliver primary data for functional analysis and provide reference data for other important crops.

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          Most cited references57

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          TBtools - an integrative toolkit developed for interactive analyses of big biological data

          The rapid development of high-throughput sequencing techniques has led biology into the big-data era. Data analyses using various bioinformatics tools rely on programming and command-line environments, which are challenging and time-consuming for most wet-lab biologists. Here, we present TBtools (a Toolkit for Biologists integrating various biological data-handling tools), a stand-alone software with a user-friendly interface. The toolkit incorporates over 130 functions, which are designed to meet the increasing demand for big-data analyses, ranging from bulk sequence processing to interactive data visualization. A wide variety of graphs can be prepared in TBtools using a new plotting engine ("JIGplot") developed to maximize their interactive ability; this engine allows quick point-and-click modification of almost every graphic feature. TBtools is platform-independent software that can be run under all operating systems with Java Runtime Environment 1.6 or newer. It is freely available to non-commercial users at https://github.com/CJ-Chen/TBtools/releases.
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            PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences.

            M. Lescot (2002)
            PlantCARE is a database of plant cis-acting regulatory elements, enhancers and repressors. Regulatory elements are represented by positional matrices, consensus sequences and individual sites on particular promoter sequences. Links to the EMBL, TRANSFAC and MEDLINE databases are provided when available. Data about the transcription sites are extracted mainly from the literature, supplemented with an increasing number of in silico predicted data. Apart from a general description for specific transcription factor sites, levels of confidence for the experimental evidence, functional information and the position on the promoter are given as well. New features have been implemented to search for plant cis-acting regulatory elements in a query sequence. Furthermore, links are now provided to a new clustering and motif search method to investigate clusters of co-expressed genes. New regulatory elements can be sent automatically and will be added to the database after curation. The PlantCARE relational database is available via the World Wide Web at http://sphinx.rug.ac.be:8080/PlantCARE/.
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              Gene duplication and evolutionary novelty in plants.

              Duplication is a prominent feature of plant genomic architecture. This has led many researchers to speculate that gene duplication may have played an important role in the evolution of phenotypic novelty within plants. Until recently, however, it was difficult to make this connection. We are now beginning to understand how duplication has contributed to adaptive evolution in plants. In this review we introduce the sources of gene duplication and predictions of the various fates of duplicates. We also highlight several recent and pertinent examples from the literature. These examples demonstrate the importance of the functional characteristics of genes and the source of duplication in influencing evolutionary outcome.
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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Plants (Basel)
                Plants (Basel)
                plants
                Plants
                MDPI
                2223-7747
                05 July 2021
                July 2021
                : 10
                : 7
                : 1371
                Affiliations
                [1 ]Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 51807, China; madiha.zaynab14@ 123456gmail.com (M.Z.); yangxw@ 123456szu.edu.cn (X.Y.)
                [2 ]Genomics Lab, Department of Life Science, University of Management and Technology (UMT), Lahore 54770, Pakistan; athar.hussain@ 123456umt.edu.pk
                [3 ]College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China; 2171904004@ 123456fafu.edu.cn
                [4 ]College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; mahparafatima14@ 123456gmail.com
                [5 ]Department of Horticulture, Ghazi University, Dera Ghazi Khan 32200, Pakistan; Msajid@ 123456gudgk.edu.pk
                [6 ]National Institute of Genomics and Advanced Biotechnology, National Agriculture Research Center, Islamabad 44000, Pakistan; naziarehman@ 123456parc.gov.pk
                [7 ]Research Center for Advanced Materials Science(RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia; kkhan@ 123456kku.edu.sa (K.A.K.); halgramh@ 123456kku.edu.sa (H.A.G.)
                [8 ]Unit of Bee Research and Honey Production, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
                [9 ]Biology Department, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
                Author notes
                [* ]Correspondence: sfli@ 123456szu.edu.cn
                Article
                plants-10-01371
                10.3390/plants10071371
                8309457
                34371574
                b6c84a6f-0fbf-4ada-974b-cfc5c75f8d7c
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 25 May 2021
                : 28 June 2021
                Categories
                Article

                genome-wide,stmapks,phylogeny,expression,rt-qpcr,txy motifs
                genome-wide, stmapks, phylogeny, expression, rt-qpcr, txy motifs

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