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Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China

BACKGROUND: The Begonia species are common shade plants that are mostly found in southwest China. They have not been well studied despite their medicinal and decorative uses because gene penetration, decreased adaptability, and restricted availability are all caused by frequent interspecific hybridi...

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Autores principales: Xiong, Chao, Huang, Yang, Li, Zhenglong, Wu, Lan, Liu, Zhiguo, Zhu, Wenjun, Li, Jianhui, Xu, Ran, Hong, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612195/
https://www.ncbi.nlm.nih.gov/pubmed/37891463
http://dx.doi.org/10.1186/s12864-023-09563-3
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author Xiong, Chao
Huang, Yang
Li, Zhenglong
Wu, Lan
Liu, Zhiguo
Zhu, Wenjun
Li, Jianhui
Xu, Ran
Hong, Xin
author_facet Xiong, Chao
Huang, Yang
Li, Zhenglong
Wu, Lan
Liu, Zhiguo
Zhu, Wenjun
Li, Jianhui
Xu, Ran
Hong, Xin
author_sort Xiong, Chao
collection PubMed
description BACKGROUND: The Begonia species are common shade plants that are mostly found in southwest China. They have not been well studied despite their medicinal and decorative uses because gene penetration, decreased adaptability, and restricted availability are all caused by frequent interspecific hybridization. RESULT: To understand the patterns of mutation in the chloroplast genomes of different species of Begonia, as well as their evolutionary relationships, we collected seven Begonia species in China and sequenced their chloroplast genomes. Begonia species exhibit a quadripartite structure of chloroplast genomes (157,634 − 169,694 bp), consisting of two pairs of inverted repeats (IR: 26,529 − 37,674 bp), a large single copy (LSC: 75,477 − 86,500 bp), and a small single copy (SSC: 17,861 − 18,367 bp). 128–143 genes (comprising 82–93 protein-coding genes, 8 ribosomal RNAs, and 36–43 transfer RNAs) are found in the chloroplast genomes. Based on comparative analyses, this taxon has a relatively similar genome structure. A total of six substantially divergent DNA regions (trnT-UGU-trnL-UAA, atpF-atpH, ycf4-cemA, psbC-trnS-UGA, rpl32-trnL-UAG, and ccsA-ndhD) are found in the seventeen chloroplast genomes. These regions are suitable for species identification and phylogeographic analysis. Phylogenetic analysis shows that Begonia species that were suited to comparable environments grouped in a small clade and that all Begonia species formed one big clade in the phylogenetic tree, supporting the genus’ monophyly. In addition, positive selection sites were discovered in eight genes (rpoC1, rpoB, psbE, psbK, petA, rps12, rpl2, and rpl22), the majority of which are involved in protein production and photosynthesis. CONCLUSION: Using these genome resources, we can resolve deep-level phylogenetic relationships between Begonia species and their families, leading to a better understanding of evolutionary processes. In addition to enhancing species identification and phylogenetic resolution, these results demonstrate the utility of complete chloroplast genomes in phylogenetically and taxonomically challenging plant groupings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09563-3.
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spelling pubmed-106121952023-10-29 Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China Xiong, Chao Huang, Yang Li, Zhenglong Wu, Lan Liu, Zhiguo Zhu, Wenjun Li, Jianhui Xu, Ran Hong, Xin BMC Genomics Research BACKGROUND: The Begonia species are common shade plants that are mostly found in southwest China. They have not been well studied despite their medicinal and decorative uses because gene penetration, decreased adaptability, and restricted availability are all caused by frequent interspecific hybridization. RESULT: To understand the patterns of mutation in the chloroplast genomes of different species of Begonia, as well as their evolutionary relationships, we collected seven Begonia species in China and sequenced their chloroplast genomes. Begonia species exhibit a quadripartite structure of chloroplast genomes (157,634 − 169,694 bp), consisting of two pairs of inverted repeats (IR: 26,529 − 37,674 bp), a large single copy (LSC: 75,477 − 86,500 bp), and a small single copy (SSC: 17,861 − 18,367 bp). 128–143 genes (comprising 82–93 protein-coding genes, 8 ribosomal RNAs, and 36–43 transfer RNAs) are found in the chloroplast genomes. Based on comparative analyses, this taxon has a relatively similar genome structure. A total of six substantially divergent DNA regions (trnT-UGU-trnL-UAA, atpF-atpH, ycf4-cemA, psbC-trnS-UGA, rpl32-trnL-UAG, and ccsA-ndhD) are found in the seventeen chloroplast genomes. These regions are suitable for species identification and phylogeographic analysis. Phylogenetic analysis shows that Begonia species that were suited to comparable environments grouped in a small clade and that all Begonia species formed one big clade in the phylogenetic tree, supporting the genus’ monophyly. In addition, positive selection sites were discovered in eight genes (rpoC1, rpoB, psbE, psbK, petA, rps12, rpl2, and rpl22), the majority of which are involved in protein production and photosynthesis. CONCLUSION: Using these genome resources, we can resolve deep-level phylogenetic relationships between Begonia species and their families, leading to a better understanding of evolutionary processes. In addition to enhancing species identification and phylogenetic resolution, these results demonstrate the utility of complete chloroplast genomes in phylogenetically and taxonomically challenging plant groupings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09563-3. BioMed Central 2023-10-27 /pmc/articles/PMC10612195/ /pubmed/37891463 http://dx.doi.org/10.1186/s12864-023-09563-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xiong, Chao
Huang, Yang
Li, Zhenglong
Wu, Lan
Liu, Zhiguo
Zhu, Wenjun
Li, Jianhui
Xu, Ran
Hong, Xin
Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title_full Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title_fullStr Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title_full_unstemmed Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title_short Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China
title_sort comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of begonia in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612195/
https://www.ncbi.nlm.nih.gov/pubmed/37891463
http://dx.doi.org/10.1186/s12864-023-09563-3
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