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      Comparative analysis of 84 chloroplast genomes of Tylosema esculentum reveals two distinct cytotypes

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          Abstract

          Tylosema esculentum (marama bean) is an important orphan legume from southern Africa that has long been considered to have the potential to be domesticated as a crop. The chloroplast genomes of 84 marama samples collected from various geographical locations in Namibia and Pretoria were compared in this study. The cp genomes were analyzed for diversity, including SNPs, indels, structural alterations, and heteroplasmy. The marama cp genomes ranged in length from 161,537 bp to 161,580 bp and contained the same sets of genes, including 84 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. The genes rpoC2 and rpoB, and the intergenic spacers trnT-trnL and ndhG-ndhI were found to be more diverse than other regions of the marama plastome. 15 haplotypes were found to be divided into two groups, differing at 122 loci and at a 230 bp inversion. One type appears to have greater variability within the major genome present, and variations amongst individuals with this type of chloroplast genome seems to be distributed within specific geographic regions but with very limited sampling for some regions. However, deep sequencing has identified that within most of the individuals, both types of chloroplast genomes are present, albeit one is generally at a very low frequency. The inheritance of this complex of chloroplast genomes appears to be fairly constant, providing a conundrum of how the two genomes co-exist and are propagated through generations. The possible consequences for adaptation to the harsh environment in which T. esculentum survives are considered. The results pave the way for marama variety identification, as well as for understanding the origin and evolution of the bean.

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          Most cited references61

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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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            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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              DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets.

              We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.

                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
                31 January 2023
                2022
                : 13
                : 1025408
                Affiliations
                [1] Department of Biology, Case Western Reserve University , Cleveland, OH, United States
                Author notes

                Edited by: Martina Stromvik, McGill University, Canada

                Reviewed by: Linchun Shi, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Xiwen Li, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, China; Niaz Ahmad, National Institute for Biotechnology and Genetic Engineering (Pakistan), Pakistan

                *Correspondence: Christopher Cullis, cac5@ 123456case.edu

                This article was submitted to Plant Bioinformatics, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.1025408
                9927231
                36798803
                0fd526f9-b50e-44be-a199-03f64d4ebf52
                Copyright © 2023 Li and Cullis

                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
                : 22 August 2022
                : 21 December 2022
                Page count
                Figures: 10, Tables: 4, Equations: 0, References: 61, Pages: 15, Words: 5935
                Funding
                This work was supported by National Science Foundation under Award Numbers DBI-0735191, DBI-1265383, and DBI-1743442, URL: www.cyverse.org, and by teaching resources from the Biology Department at Case Western Reserve University.
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                tylosema esculentum,legume,chloroplast genome,genetic diversity,genomic structure,phylogenetic analysis,heteroplasmy,plastome evolution

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