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      The Wild Sugarcane and Sorghum Kinomes: Insights Into Expansion, Diversification, and Expression Patterns

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      1 , 1 , 2 , 2 , 2 , 1 , 1 , 1 , 1 , 1 , 3 , 4 , 4 , 5 , 5 , 6 , 7 , 2 , 1 , 8 , *
      Frontiers in Plant Science
      Frontiers Media S.A.
      coexpression networks, kinase gene family, phylogenetic analyses, RNA-Seq, Saccharum spontaneum, Sorghum bicolor

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          Abstract

          The protein kinase (PK) superfamily is one of the largest superfamilies in plants and the core regulator of cellular signaling. Despite this substantial importance, the kinomes of sugarcane and sorghum have not been profiled. Here, we identified and profiled the complete kinomes of the polyploid Saccharum spontaneum (Ssp) and Sorghum bicolor (Sbi), a close diploid relative. The Sbi kinome was composed of 1,210 PKs; for Ssp, we identified 2,919 PKs when disregarding duplications and allelic copies, and these were related to 1,345 representative gene models. The Ssp and Sbi PKs were grouped into 20 groups and 120 subfamilies and exhibited high compositional similarities and evolutionary divergences. By utilizing the collinearity between the species, this study offers insights into Sbi and Ssp speciation, PK differentiation and selection. We assessed the PK subfamily expression profiles via RNA-Seq and identified significant similarities between Sbi and Ssp. Moreover, coexpression networks allowed inference of a core structure of kinase interactions with specific key elements. This study provides the first categorization of the allelic specificity of a kinome and offers a wide reservoir of molecular and genetic information, thereby enhancing the understanding of Sbi and Ssp PK evolutionary history.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Gene Ontology: tool for the unification of biology

            Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                07 July 2021
                2021
                : 12
                : 668623
                Affiliations
                [1] 1Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP) , Campinas, Brazil
                [2] 2Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP) , Piracicaba, Brazil
                [3] 3Faculty of Medicine, Institute for Computational Genomics, RWTH Aachen University , Aachen, Germany
                [4] 4Advanced Center of Sugarcane Agrobusiness Technological Research, Agronomic Institute of Campinas (IAC) , Ribeirão Preto, Brazil
                [5] 5Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos (UFSCar) , São Carlos, Brazil
                [6] 6Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (Unifesp) , São José dos Campos, Brazil
                [7] 7Department of Biology, Federal University of Lavras (UFLA) , Lavras, Brazil
                [8] 8Department of Plant Biology, Institute of Biology, University of Campinas (UNICAMP) , Campinas, Brazil
                Author notes

                Edited by: Dirk Walther, Max Planck Institute of Molecular Plant Physiology, Germany

                Reviewed by: Prathima Perumal Thirugnanasambandam, Indian Council of Agricultural Research, Coimbatore, India; Ertugrul Filiz, Duzce University, Turkey

                *Correspondence: Anete Pereira de Souza, anete@ 123456unicamp.br

                This article was submitted to Plant Systems and Synthetic Biology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2021.668623
                8294386
                424a857b-6a03-4104-9b5d-7ed58785a30c
                Copyright © 2021 Aono, Pimenta, Garcia, Correr, Hosaka, Carrasco, Cardoso-Silva, Mancini, Sforça, dos Santos, Nagai, Pinto, Landell, Carneiro, Balsalobre, Quiles, Pereira, Rodrigues Alves Margarido and de Souza.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 February 2021
                : 17 March 2021
                Page count
                Figures: 8, Tables: 2, Equations: 0, References: 167, Pages: 23, Words: 16111
                Funding
                Funded by: Fundação de Amparo à Pesquisa de do Estado de São Paulo
                Award ID: FAPESP 2020/07434-0
                Award ID: 2015/22993-7
                Award ID: 2008/52197-4
                Award ID: 2005/55258-6
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico 10.13039/501100003593
                Award ID: CNPq 313,426/2018-0
                Award ID: 434,886/2018-1
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 10.13039/501100002322
                Award ID: 001
                Funded by: FAPESP 10.13039/501100001807
                Award ID: 88887.177386/2018-00
                Award ID: 2018/18588-8
                Award ID: 2015/16399-5
                Funded by: FAPESP 10.13039/501100001807
                Award ID: 2010/50119-6
                Funded by: CAPES 10.13039/501100002322
                Award ID: 88882.160212/2017-01
                Funded by: FAPESP 10.13039/501100001807
                Funded by: FAPESP 10.13039/501100001807
                Award ID: 2019/19340-2
                Funded by: FAPESP 10.13039/501100001807
                Award ID: 2010/50091-4
                Funded by: FAPESP 10.13039/501100001807
                Funded by: FAPESP 10.13039/501100001807
                Award ID: 2014/11482-9
                Funded by: CNPq 10.13039/501100003593
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                coexpression networks,kinase gene family,phylogenetic analyses,rna-seq,saccharum spontaneum,sorghum bicolor

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