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      The Complete Chloroplast Genome Sequence of Cicer bijugum, Genome Organization, and Comparison with Related Species

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          Abstract

          Background

          Chickpea is one of Turkey's most significant legumes, and because of its high nutritional value, it is frequently preferred in human nourishment. Chloroplasts, which have their own genetic material, are organelles responsible for photosynthesis in plant cells and their genome contains non-trivial information about the molecular features and evolutionary process of plants.

          Objective

          Current study aimed at revealing complete chloroplast genome sequence of one of the wild type Cicer species, Cicer bijugum, and comparing its genome with cultivated Cicer species, Cicer arietinum, by using bioinformatics analysis tools. Except for Cicer arietinum, there has been no study on the chloroplast genome sequence of Cicer species. Therefore, we targeted to reveal the complete chloroplast genome sequence of wild type Cicer species, Cicer bijugum, and compare the chloroplast genome of Cicer bijugum with the cultivated one Cicer arietinum.

          Methods

          In this study, we sequenced the whole chloroplast genome of Cicer bijugum, one of the wild types of chickpea species, with the help Next Generation Sequencing platform and compared it with the chloroplast genome of the cultivated chickpea species, Cicer arietinum, by using online bioinformatics analysis tools.

          Results

          We determined the size of the chloroplast genome of C. bijugum as 124,804 bp and found that C. bijugum did not contain an inverted repeat region in its chloroplast genome. Comparative analysis of the C. bijugum chloroplast genome uncovered thirteen hotspot regions (psbA, matK, rpoB, rpoC1, rpoC2, psbI, psbK, accD, rps19, ycf2, ycf1, rps15, and ndhF) and seven of them (matK, accD, rps19, ycf1, ycf2, rps15 and ndhF) could potentially be used as strong molecular markers for species identification. It has been determined that C. bijugum was phylogenetically closer to cultivated chickpea as compared to the other species.

          Conclusion

          It is aimed that the data obtained from this study, which is the first study in which whole chloroplast genomes of wild chickpea species were sequenced, will guide researchers in future molecular, evolutionary, and genetic engineering studies with chickpea species.

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          Most cited references78

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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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            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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              Tandem repeats finder: a program to analyze DNA sequences.

              G. Benson (1999)
              A tandem repeat in DNA is two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats have been shown to cause human disease, may play a variety of regulatory and evolutionary roles and are important laboratory and analytic tools. Extensive knowledge about pattern size, copy number, mutational history, etc. for tandem repeats has been limited by the inability to easily detect them in genomic sequence data. In this paper, we present a new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size. We model tandem repeats by percent identity and frequency of indels between adjacent pattern copies and use statistically based recognition criteria. We demonstrate the algorithm's speed and its ability to detect tandem repeats that have undergone extensive mutational change by analyzing four sequences: the human frataxin gene, the human beta T cellreceptor locus sequence and two yeast chromosomes. These sequences range in size from 3 kb up to 700 kb. A World Wide Web server interface atc3.biomath.mssm.edu/trf.html has been established for automated use of the program.
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                Author and article information

                Journal
                Curr Genomics
                Curr Genomics
                CG
                Current Genomics
                Bentham Science Publishers
                1389-2029
                1875-5488
                7 April 2022
                7 April 2022
                : 23
                : 1
                : 50-65
                Affiliations
                [1 ]Department of Bioengineering, Faculty of Engineering, Ege University, 35100 Bornova-Izmir, Turkey;
                [2 ]Department of Field Crops, Faculty of Agriculture, Harran University, 64000 S. Urfa, Turkey
                Author notes
                [* ]Address correspondence to this author at the Department of Bioengineering, Faculty of Engineering, Ege University, 35100 Bornova-Izmir, Turkey; E-mail: bahattin.tanyolac@ 123456gmail.com
                Article
                CG-23-50
                10.2174/1389202923666220211113708
                9199535
                35814936
                e7a944ce-5941-4361-8f58-b7575a9c66e4
                © 2022 Bentham Science Publishers

                This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

                History
                : 06 January 2022
                : 13 January 2022
                : 27 January 2022
                Categories
                Article

                Genetics
                wild type chickpea,cicer bijugum,chloroplast genome,genome organization,comparative genome analysis,bioinformatics

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