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      Genome-wide identification and evolutionary view of ALOG gene family in Solanaceae

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          Abstract

          The ALOG gene family, which was named after its earliest identified members ( Arabidopsis LSH1 and Oryza G1), encodes a class of transcription factors (TF) characterized by the presence of a highly conserved ALOG domain. These proteins are found in various plant species playing regulatory roles in plant growth, development, and morphological diversification of inflorescence. The functional characterization of these genes in some plant species has demonstrated their involvement in floral architecture. In this study, we used a genome-wide and phylogenetic approach to gain insights into plants’ origin, diversification, and functional aspects of the ALOG gene family. In total, 648 ALOG homologous genes were identified in 77 Viridiplantae species, and their evolutionary relationships were inferred using maximum likelihood phylogenetic analyses. Our results suggested that the ALOG gene family underwent several rounds of gene duplication and diversification during angiosperm evolution. Furthermore, we found three functional orthologous groups in Solanaceae species. The study provides insights into the evolutionary history and functional diversification of the ALOG gene family, which could aid in understanding the mechanisms underlying floral architecture in angiosperms.

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          ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

          Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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            IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

            Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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              UFBoot2: Improving the Ultrafast Bootstrap Approximation

              Abstract The standard bootstrap (SBS), despite being computationally intensive, is widely used in maximum likelihood phylogenetic analyses. We recently proposed the ultrafast bootstrap approximation (UFBoot) to reduce computing time while achieving more unbiased branch supports than SBS under mild model violations. UFBoot has been steadily adopted as an efficient alternative to SBS and other bootstrap approaches. Here, we present UFBoot2, which substantially accelerates UFBoot and reduces the risk of overestimating branch supports due to polytomies or severe model violations. Additionally, UFBoot2 provides suitable bootstrap resampling strategies for phylogenomic data. UFBoot2 is 778 times (median) faster than SBS and 8.4 times (median) faster than RAxML rapid bootstrap on tested data sets. UFBoot2 is implemented in the IQ-TREE software package version 1.6 and freely available at http://www.iqtree.org.
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                Author and article information

                Contributors
                Role: designed researchRole: performed de data collection and analysesRole: wrote the first version of the paperRole: read and approved the final version of the paper
                Role: designed researchRole: performed de data collection and analysesRole: read and approved the final version of the paper
                Role: performed de data collection and analysesRole: read and approved the final version of the paper
                Role: performed de data collection and analysesRole: read and approved the final version of the paper
                Role: performed de data collection and analysesRole: read and approved the final version of the paper
                Role: performed de data collection and analysesRole: wrote the first version of the paperRole: read and approved the final version of the paper
                Journal
                Genet Mol Biol
                Genet Mol Biol
                gmb
                Genetics and Molecular Biology
                Sociedade Brasileira de Genética
                1415-4757
                1678-4685
                01 December 2023
                2023
                : 46
                : 3 Suppl 1
                : e20230142
                Affiliations
                [1 ]Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-Graduação em Botânica (PPGBOT), Departamento de Botânica, Porto Alegre, RS, Brazil
                [2 ] Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM), Departamento de Genética, Porto Alegre, RS, Brazil.
                Author notes
                [Send correspondence to ] Caroline Turchetto. Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-graduação em Botânica (PPGBOT), Departamento de Botânica, Avenida Bento Gonçalves, 9500, Caixa Postal 15025, Porto Alegre, RS, Brazil. E-mail: carolineturchetto@ 123456gmail.com

                Associate Editor: Loreta Brandão de Freitas

                Author information
                http://orcid.org/0000-0003-4672-1244
                http://orcid.org/0000-0002-7365-1360
                Article
                00108
                10.1590/1415-4757-GMB-2023-0142
                10695626
                38048778
                fecb030e-b916-4de4-ae06-a51a178f02e7

                This is an open-access article distributed under the terms of the Creative Commons Attribution License

                History
                : 04 May 2023
                : 10 October 2023
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 69
                Categories
                60 years of the PPGBM UFRGS - Special Issue

                Molecular biology
                alog genes,transcription factor,plant development,floral architecture
                Molecular biology
                alog genes, transcription factor, plant development, floral architecture

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