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      New Insights Into The Evolution of Chloroplast Genomes in Ochna Species (Ochnaceae, Malpighiales)

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          Abstract

          Ochnaceae DC. includes more than 600 species that exhibit potential values for environmental ecology, ornamental, pharmaceutical, and timber industries. Although studies on phylogeny and phytochemicals have been intensively conducted, chloroplast genome data of Ochnaceae species have not been fully explored. In this study, the next-generation sequencing method was used to sequence the chloroplast genomes of Ochna integerrima and Ochna serrulata which were 157 329 and 157 835 bp in length, respectively. These chloroplast genomes had a quadripartite structure and contained 78 protein-coding genes, 30 tRNAs, and 4 rRNAs. Comparative analysis revealed 8 hypervariable regions, including trnK_UUU-trnQ_UUG, rpoB-psbM, trnS_GGA-rps4, accD-psaI, rpl33-rps18, rpl14-rpl16, ndhF-trnL_UAG , and rps15-ycf1 among 6 Ochnaceae taxa. Additionally, there were shared and unique repeats among 6 examined chloroplast genomes. The notable changes were the loss of rpl32 in Ochna species and the deletion of rps16 exon 2 in O. integerrima compared to other taxa. This study is the first comprehensive comparative genomic analysis of complete chloroplast genomes of Ochna species and related taxa in Ochnaceae. Consequently, the current study provides initial results for further research on genomic evolution, population genetics, and developing molecular markers in Ochnaceae and related taxa.

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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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            MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

            Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
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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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                Author and article information

                Journal
                Evol Bioinform Online
                Evol Bioinform Online
                EVB
                spevb
                Evolutionary Bioinformatics Online
                SAGE Publications (Sage UK: London, England )
                1176-9343
                15 November 2023
                2023
                : 19
                : 11769343231210756
                Affiliations
                [1 ]Biotechnology Center, School of Agriculture and Aquaculture, Tra Vinh University, Tra Vinh City, Vietnam
                [2 ]NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
                Author notes
                [*]Hoang Dang Khoa Do, NTT Hi-Tech Institute, Nguyen Tat Thanh University, 300A Nguyen Tat Thanh, Ward 13, District 04, Ho Chi Minh City 70000, Vietnam. Email: dhdkhoa@ 123456ntt.edu.vn
                Author information
                https://orcid.org/0000-0002-7970-9359
                Article
                10.1177_11769343231210756
                10.1177/11769343231210756
                10655658
                98dc815a-ac3b-4e24-aa15-2cda800a5fd5
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 19 January 2023
                : 12 October 2023
                Funding
                Funded by: tru’ò’ng đại học trà vinh, FundRef https://doi.org/10.13039/100018444;
                Award ID: 220/2022/HĐ.HĐKH&ĐT-ĐHTV
                Categories
                Original Research
                Custom metadata
                January-December 2023
                ts1

                Bioinformatics & Computational biology
                ochna integerrima,ochna serrulata,genomic events,gene deletion,comparative genomics

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