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      Taxonomy, comparative genomics of Mullein ( Verbascum, Scrophulariaceae), with implications for the evolution of Verbascum and Lamiales

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          Abstract

          Background

          The genus Verbascum L. (Scrophulariaceae) is distributed in Africa, Europe, and parts of Asia, with the Mediterranean having the most species variety. Several researchers have already worked on the phylogenetic and taxonomic analysis of Verbascum by using ITS data and chloroplast genome fragments and have produced different conclusions. The taxonomy and phylogenetic relationships of this genus are unclear.

          Results

          The complete plastomes (cp) lengths for V. chaixii, V. songaricum, V. phoeniceum, V. blattaria, V. sinaiticum, V. thapsus, and V. brevipedicellatum ranged from 153,014 to 153,481 bp. The cp coded 114 unique genes comprising of 80 protein-coding genes, four ribosomal RNA (rRNA), and 30 tRNA genes. We detected variations in the repeat structures, gene expansion on the inverted repeat, and single copy (IR/SC) boundary regions. The substitution rate analysis indicated that some genes were under purifying selection pressure. Phylogenetic analysis supported the sister relationship of (Lentibulariaceae + Acanthaceae + Bignoniaceae + Verbenaceae + Pedaliaceae) and (Lamiaceae + Phyrymaceae + Orobanchaceae + Paulowniaceae + Mazaceae) in Lamiales. Within Scrophulariaceae, Verbascum was sister to Scrophularia, while Buddleja formed a monophyletic clade from ( Scrophularia +  Verbascum) with high bootstrap support values. The relationship of the nine species within Verbascum was highly supported.

          Conclusion

          Based on the phylogenetic results, we proposed to reinstate the species status of V. brevipedicellatum (Engl.) Hub.-Mor. Additionally, three genera ( Mazus, Lancea, and Dodartia) placed in the Phyrymaceae family formed a separate clade within Lamiaceae. The classification of the three genera was supported by previous studies. Thus, the current study also suggests the circumscription of these genera as documented previously to be reinstated. The divergence time of Lamiales was approximated to be 86.28 million years ago (Ma) (95% highest posterior density (HPD), 85.12–89.91 Ma). The complete plastomes sequence data of the Verbascum species will be important for understanding the Verbascum phylogenetic relationships and evolution in order Lamiales.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12864-022-08799-9.

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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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              IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

              Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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                Author and article information

                Contributors
                guangwanhu@wbgcas.cn
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                8 August 2022
                8 August 2022
                2022
                : 23
                : 566
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, , Chinese Academy of Sciences, ; Wuhan, 430074 China
                [2 ]GRID grid.9227.e, ISNI 0000000119573309, Sino-Africa Joint Research Center, Chinese Academy of Sciences, ; Wuhan, CN-430074 China
                [3 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, University of Chinese Academy of Sciences, ; Beijing, CN-100049 China
                [4 ]GRID grid.425505.3, ISNI 0000 0001 1457 1451, East African Herbarium, National Museums of Kenya, ; P.O Box 451660-0100, Nairobi, Kenya
                Article
                8799
                10.1186/s12864-022-08799-9
                9358837
                35941527
                f44ffef7-5392-4fac-9e1e-d76e731061e2
                © The Author(s) 2022

                Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 3 August 2021
                : 28 July 2022
                Funding
                Funded by: International Partnership Program of the Chinese Academy of Sciences
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Award ID: 151853KYSB20190027
                Funded by: he National Natural Sciences Foundation of China
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Award ID: 31970211
                Funded by: Sino-Africa Joint Research Center, CAS
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Award ID: SAJC202101
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Genetics
                verbascum,phylogenetic,plastome,comparative genomics,divergence time
                Genetics
                verbascum, phylogenetic, plastome, comparative genomics, divergence time

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