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      Complete chloroplast genomes and comparative analyses of Hippeastrum ‘milady’, Hippeastrum albertii and Hippeastrum reticulatum (Amaryllidaceae)

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          Abstract

          Hippeastrum is a genus of ornamental plants with large, brightly colored flowers. Due to the very high seed-setting rate of the hybridization of Hippeastrum, the large population of hybrid progeny and the existence of superparent inheritance, it is difficult to trace the origin of the varieties collected from the market during breeding. In this study, we analyzed the chloroplast genomes of Hippeastrum ‘Milady’, H. alberti, and H. reticulatum using the Illumina NovaSeq sequencing platform and generated full-length sequences of 158,067, 158,067, and 158,522 bp, respectively. All three genomes had the typical tetrad structure. The large single copy, small single copy, and inverted repeat regions of H. reticulatum were observed to be respectively 277, 138, and 20 bp longer than the corresponding regions of H. ‘Milady’ and H. alberti. The results of comparative analysis of simple sequence repeats (SSRs), Ka/Ks ratios, codon preferences, and complete sequences of chloroplasts of these three taxa and 14 other plant species were as follows. First, the chloroplast genomes of H. ‘Milady’, H. alberti, and H. reticulatum contain 209, 209, and 211 SSR sites, respectively, most of which (123, 123, and 122, respectively) are single nucleotide repeats. Second, leucine, arginine, and serine are the most frequently used amino acids in the three chloroplast genomes. Third, H. ‘Milady’, H. alberti, and H. reticulatum are more closely related to Lycoris and Narcissus than to Allium and Agapanthus. Our results will provide information on the study of origins or relatedness of native species, and the identification of cultivars.

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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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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

              We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Writing – original draft
                Role: Investigation
                Role: Methodology
                Role: Data curation
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 August 2022
                2022
                : 17
                : 8
                : e0271335
                Affiliations
                [1 ] Environmental Horticulture Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
                [2 ] Guangdong Key Lab of Ornamental Plant Germplasm Innovation and Utilization, Key Laboratory of Urban Agriculture in South China, Ministry of Agriculture, Guangzhou, China
                Chinese Academy of Medical Sciences and Peking Union Medical College, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2955-1538
                https://orcid.org/0000-0002-4362-6025
                Article
                PONE-D-21-35114
                10.1371/journal.pone.0271335
                9355175
                35930553
                502c25d9-1ea6-4d1e-ba14-1866a7e91508
                © 2022 Liu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 November 2021
                : 29 June 2022
                Page count
                Figures: 4, Tables: 1, Pages: 14
                Funding
                Funded by: Key-Area Research and Development Program of Guangdong Province
                Award ID: 2020B020220005, 2018B020202002
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012241, Guangzhou Research Collaborative Innovation Projects;
                Award ID: 201807010016, 201604020031
                Award Recipient :
                Funded by: Guangdong provincial Science and Technology Department
                Award ID: 2018A050506054, 2016LM3169, 2014B070706016
                Award Recipient :
                This study is funded by the Key-Area Research and Development Program of Guangdong Province (2020B020220005, 2018B020202002), Guangzhou Science and Technology Project (201807010016, 201604020031), Guangdong provincial Science and Technology Department (2018A050506054, 2016LM3169, 2014B070706016). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Genomics
                Plant Genomics
                Plant Genomes
                Chloroplast Genome
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Plant Biotechnology
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                Plant Genomes
                Chloroplast Genome
                Engineering and Technology
                Bioengineering
                Biotechnology
                Plant Biotechnology
                Plant Genomics
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                Chloroplast Genome
                Biology and Life Sciences
                Plant Science
                Plant Biotechnology
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                Plant Genomes
                Chloroplast Genome
                Biology and Life Sciences
                Genetics
                Plant Genetics
                Plant Genomics
                Plant Genomes
                Chloroplast Genome
                Biology and Life Sciences
                Plant Science
                Plant Genetics
                Plant Genomics
                Plant Genomes
                Chloroplast Genome
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                Computational Biology
                Genome Analysis
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                Evolutionary Biology
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                Nucleotides
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                Microsatellite Loci
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                Computer and Information Sciences
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                Phylogenetics
                Biology and Life Sciences
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                Plant Genomics
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Plant Biotechnology
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                Engineering and Technology
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                Plant Biotechnology
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                Custom metadata
                The GenBank accession no. of Hippeastrum ‘Milady’ (MT162609), H. alberti (MT701522) and H. reticulatum (MT701523) were all available from the NCBI database.

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