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Jianming Huang - One of the best experts on this subject based on the ideXlab platform.
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DNA barcodes for the identification of Stephania (Menispermaceae) species.
Molecular biology reports, 2020Co-Authors: Xieli Wang, Yun Kang, Yaqin Wang, Jiayun Xue, Yangyang Zhang, Hui Xie, Weiyu Weng, Jianming HuangAbstract:Stephania is a medicinal plants-rich genus of Menispermaceae. However, the identification of morphologically-similar species in Stephania is difficult using the currently reported methods. The indiscriminate overexploitation of Stephania plants has resulted in clinical misuse and endangerment of many species, which necessitates the development of an efficient and reliable method for species authentication. Therefore, six candidate DNA barcode sequences (ITS, ITS2, psbA-trnH, matK, rbcL, and trnL-F) were tested for their capacity to identify Stephania species. The barcodes were analyzed either as a single region or in combination by tree-based [neighbor-joining (NJ) and Bayesian inference (BI)], distance-based (PWG-distance), and sequence similarity-based (TaxonDNA) methods. Amplification and sequencing success rates were 100% for all six candidate barcodes. A comparison of six barcode regions showed that ITS exhibited the highest number of variable and informative sites (182/179), followed by psbA-trnH (173/162). DNA barcoding gap assessment showed that interspecific distances of the six barcodes were greater than intraspecific distances. The identification results showed that species discrimination rates of combination barcodes were higher than those of single-region barcodes. Based on best match and best close match methods, the ITS+psbA-trnH combination exhibited the highest discrimination power (93.93%). Further, all Stephania species could be resolved in the phylogenetic trees based on ITS+psbA-trnH (NJ, BI). This study demonstrates that DNA barcoding is an efficient method to identify Stephania species and recommends that the ITS+psbA-trnH combination is the best DNA barcode for the identification of Stephania species.
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Leaf epidermal features of Chinese Stephania Lour. (Menispermaceae) and their systematic significance
Kew Bulletin, 2017Co-Authors: Yun Kang, Florian Jabbour, Shuijuan Cao, Yaqin Wang, Jixian Guo, Jianming HuangAbstract:A previously published molecular phylogeny of Chinese species of Stephania (Menispermaceae) showed that none of the sections sensu Luo, recognised based on flower, inflorescence, leaf, and tuber traits, was monophyletic. In order to assess the use of an additional vegetative character for supraspecific classification in Stephania, we conducted an analysis of leaf micromorphology. Leaf epidermal features of 34 out of the c. 40 Chinese species of Stephania were investigated using light and scanning electron microscopy. Leaf epidermal characters were found to be constant at species level, but variable among species. The distribution pattern of papillae on the epidermal cells of the adaxial and abaxial sides of the leaves revealed three groups in Stephania, fitting with the recognition of three subgenera. Combined with the latter character, the shape of anticlinal cell walls proved to be useful to discriminate between sections, at least in subgenus Stephania. In addition, our results show that S. chingtungensis (subg. Stephania) exhibits leaf micromorphological states characteristic of subgenus Tuberiphania. The systematic position of the recently described S. novenanthera and of the taxonomically challenging S. excentrica within subgenus Tuberiphania is suggested by leaf epidermal features.
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Identification of Alkaloids in Stephania hainanensis by Liquid Chromatography Coupled with Quadrupole Time-of-flight Mass Spectrometry.
Phytochemical analysis : PCA, 2016Co-Authors: Ying Liu, Yun Kang, Yaqin Wang, Jixian Guo, Ping Yang, Jianming HuangAbstract:Introduction Plants in the genus Stephania can produce diverse bioactive alkaloids. Stephania hainanensis is a medicinal plant that contains effective alkaloids. However, only 10 alkaloids have been reported in this species. Objective To characterise the alkaloids in Stephania hainanensis using liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS). Methods An LC-QTOF-MS/MS method was developed for structural characterisation of the alkaloids in Stephania hainanensis. The chromatographic separation was performed on a phenyl column with gradient elution, and the tandem mass spectra were obtained by using an electrospray ionisation (ESI) interface in positive ionisation mode. Compound identification was based on the exact masses, fragmentation pathways, retention behaviours and related botanical biogenesis. Results A total of 37 tetrahydroprotoberberine-, quaternary protoberberine-, aporphine-, proaporphine-, benzylisoquinoline- or bisbenzylisoquinoline-type alkaloids were identified or tentatively identified in a single LC run. Twenty-seven of these alkaloids, including the benzylisoquinoline-type of alkaloids, have not been previously reported in Stephania hainanensis. The possible fragmentation pathways of different types of alkaloids were proposed. Besides the general fragmentations, the characteristic losses of CH3N = CH2 were observed for the benzylisoquinoline and aporphine alkaloids with two methyl groups on the nitrogen. Conclusion The LC-QTOF-MS/MS method enabled profiling and rational, but tentative, identification of diverse alkaloids in Stephania hainanensis. The results obtained may be helpful for understanding the bioactivity of S. hainanensis and evaluating the quality of this plant. Copyright © 2016 John Wiley & Sons, Ltd.
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Molecular phylogeny of Chinese Stephania (Menispermaceae) and reassessment of the subgeneric and sectional classifications
Australian Systematic Botany, 2015Co-Authors: Daotao Xie, Florian Jabbour, Yun Kang, Yaqin Wang, Jianming Huang, Hui Xie, Jixian GuoAbstract:Many species of Stephania Lour. are used traditionally in South-east Asia as medicinal plants. Understanding and predicting their therapeutic properties could be improved, provided that the evolutionary relationships among lineages are clarified. We present the first molecular phylogeny of the genus Stephania, focusing on the species occurring in China on the basis of nuclear (internal transcribed spacer, ITS) and chloroplast (trnL–F) markers sequenced from 29 species of Stephania. Our results showed that S. subgenus Stephania and S. subgenus Tuberiphania are not monophyletic, owing to the phylogenetic placement of a single species (S. mashanica). The relationships with the third subgenus, S. subgenus Botryodiscia, are not resolved. None of the sections in our analyses is monophyletic. Our study calls for further phylogenetic investigations including more accessions from the whole distribution area of the genus. A taxonomic revision of the genus Stephania, which would reassess the appropriateness of the macromorphological characters used so far to distinguish among subgenera (e.g. flower merism, size and aspect of the rootstock and main root), and sections (e.g. inflorescence morphology, sessiliflorous or not), is much needed.
Yaqin Wang - One of the best experts on this subject based on the ideXlab platform.
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DNA barcodes for the identification of Stephania (Menispermaceae) species.
Molecular biology reports, 2020Co-Authors: Xieli Wang, Yun Kang, Yaqin Wang, Jiayun Xue, Yangyang Zhang, Hui Xie, Weiyu Weng, Jianming HuangAbstract:Stephania is a medicinal plants-rich genus of Menispermaceae. However, the identification of morphologically-similar species in Stephania is difficult using the currently reported methods. The indiscriminate overexploitation of Stephania plants has resulted in clinical misuse and endangerment of many species, which necessitates the development of an efficient and reliable method for species authentication. Therefore, six candidate DNA barcode sequences (ITS, ITS2, psbA-trnH, matK, rbcL, and trnL-F) were tested for their capacity to identify Stephania species. The barcodes were analyzed either as a single region or in combination by tree-based [neighbor-joining (NJ) and Bayesian inference (BI)], distance-based (PWG-distance), and sequence similarity-based (TaxonDNA) methods. Amplification and sequencing success rates were 100% for all six candidate barcodes. A comparison of six barcode regions showed that ITS exhibited the highest number of variable and informative sites (182/179), followed by psbA-trnH (173/162). DNA barcoding gap assessment showed that interspecific distances of the six barcodes were greater than intraspecific distances. The identification results showed that species discrimination rates of combination barcodes were higher than those of single-region barcodes. Based on best match and best close match methods, the ITS+psbA-trnH combination exhibited the highest discrimination power (93.93%). Further, all Stephania species could be resolved in the phylogenetic trees based on ITS+psbA-trnH (NJ, BI). This study demonstrates that DNA barcoding is an efficient method to identify Stephania species and recommends that the ITS+psbA-trnH combination is the best DNA barcode for the identification of Stephania species.
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Leaf epidermal features of Chinese Stephania Lour. (Menispermaceae) and their systematic significance
Kew Bulletin, 2017Co-Authors: Yun Kang, Florian Jabbour, Shuijuan Cao, Yaqin Wang, Jixian Guo, Jianming HuangAbstract:A previously published molecular phylogeny of Chinese species of Stephania (Menispermaceae) showed that none of the sections sensu Luo, recognised based on flower, inflorescence, leaf, and tuber traits, was monophyletic. In order to assess the use of an additional vegetative character for supraspecific classification in Stephania, we conducted an analysis of leaf micromorphology. Leaf epidermal features of 34 out of the c. 40 Chinese species of Stephania were investigated using light and scanning electron microscopy. Leaf epidermal characters were found to be constant at species level, but variable among species. The distribution pattern of papillae on the epidermal cells of the adaxial and abaxial sides of the leaves revealed three groups in Stephania, fitting with the recognition of three subgenera. Combined with the latter character, the shape of anticlinal cell walls proved to be useful to discriminate between sections, at least in subgenus Stephania. In addition, our results show that S. chingtungensis (subg. Stephania) exhibits leaf micromorphological states characteristic of subgenus Tuberiphania. The systematic position of the recently described S. novenanthera and of the taxonomically challenging S. excentrica within subgenus Tuberiphania is suggested by leaf epidermal features.
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Identification of Alkaloids in Stephania hainanensis by Liquid Chromatography Coupled with Quadrupole Time-of-flight Mass Spectrometry.
Phytochemical analysis : PCA, 2016Co-Authors: Ying Liu, Yun Kang, Yaqin Wang, Jixian Guo, Ping Yang, Jianming HuangAbstract:Introduction Plants in the genus Stephania can produce diverse bioactive alkaloids. Stephania hainanensis is a medicinal plant that contains effective alkaloids. However, only 10 alkaloids have been reported in this species. Objective To characterise the alkaloids in Stephania hainanensis using liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS). Methods An LC-QTOF-MS/MS method was developed for structural characterisation of the alkaloids in Stephania hainanensis. The chromatographic separation was performed on a phenyl column with gradient elution, and the tandem mass spectra were obtained by using an electrospray ionisation (ESI) interface in positive ionisation mode. Compound identification was based on the exact masses, fragmentation pathways, retention behaviours and related botanical biogenesis. Results A total of 37 tetrahydroprotoberberine-, quaternary protoberberine-, aporphine-, proaporphine-, benzylisoquinoline- or bisbenzylisoquinoline-type alkaloids were identified or tentatively identified in a single LC run. Twenty-seven of these alkaloids, including the benzylisoquinoline-type of alkaloids, have not been previously reported in Stephania hainanensis. The possible fragmentation pathways of different types of alkaloids were proposed. Besides the general fragmentations, the characteristic losses of CH3N = CH2 were observed for the benzylisoquinoline and aporphine alkaloids with two methyl groups on the nitrogen. Conclusion The LC-QTOF-MS/MS method enabled profiling and rational, but tentative, identification of diverse alkaloids in Stephania hainanensis. The results obtained may be helpful for understanding the bioactivity of S. hainanensis and evaluating the quality of this plant. Copyright © 2016 John Wiley & Sons, Ltd.
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Molecular phylogeny of Chinese Stephania (Menispermaceae) and reassessment of the subgeneric and sectional classifications
Australian Systematic Botany, 2015Co-Authors: Daotao Xie, Florian Jabbour, Yun Kang, Yaqin Wang, Jianming Huang, Hui Xie, Jixian GuoAbstract:Many species of Stephania Lour. are used traditionally in South-east Asia as medicinal plants. Understanding and predicting their therapeutic properties could be improved, provided that the evolutionary relationships among lineages are clarified. We present the first molecular phylogeny of the genus Stephania, focusing on the species occurring in China on the basis of nuclear (internal transcribed spacer, ITS) and chloroplast (trnL–F) markers sequenced from 29 species of Stephania. Our results showed that S. subgenus Stephania and S. subgenus Tuberiphania are not monophyletic, owing to the phylogenetic placement of a single species (S. mashanica). The relationships with the third subgenus, S. subgenus Botryodiscia, are not resolved. None of the sections in our analyses is monophyletic. Our study calls for further phylogenetic investigations including more accessions from the whole distribution area of the genus. A taxonomic revision of the genus Stephania, which would reassess the appropriateness of the macromorphological characters used so far to distinguish among subgenera (e.g. flower merism, size and aspect of the rootstock and main root), and sections (e.g. inflorescence morphology, sessiliflorous or not), is much needed.
Yun Kang - One of the best experts on this subject based on the ideXlab platform.
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DNA barcodes for the identification of Stephania (Menispermaceae) species.
Molecular biology reports, 2020Co-Authors: Xieli Wang, Yun Kang, Yaqin Wang, Jiayun Xue, Yangyang Zhang, Hui Xie, Weiyu Weng, Jianming HuangAbstract:Stephania is a medicinal plants-rich genus of Menispermaceae. However, the identification of morphologically-similar species in Stephania is difficult using the currently reported methods. The indiscriminate overexploitation of Stephania plants has resulted in clinical misuse and endangerment of many species, which necessitates the development of an efficient and reliable method for species authentication. Therefore, six candidate DNA barcode sequences (ITS, ITS2, psbA-trnH, matK, rbcL, and trnL-F) were tested for their capacity to identify Stephania species. The barcodes were analyzed either as a single region or in combination by tree-based [neighbor-joining (NJ) and Bayesian inference (BI)], distance-based (PWG-distance), and sequence similarity-based (TaxonDNA) methods. Amplification and sequencing success rates were 100% for all six candidate barcodes. A comparison of six barcode regions showed that ITS exhibited the highest number of variable and informative sites (182/179), followed by psbA-trnH (173/162). DNA barcoding gap assessment showed that interspecific distances of the six barcodes were greater than intraspecific distances. The identification results showed that species discrimination rates of combination barcodes were higher than those of single-region barcodes. Based on best match and best close match methods, the ITS+psbA-trnH combination exhibited the highest discrimination power (93.93%). Further, all Stephania species could be resolved in the phylogenetic trees based on ITS+psbA-trnH (NJ, BI). This study demonstrates that DNA barcoding is an efficient method to identify Stephania species and recommends that the ITS+psbA-trnH combination is the best DNA barcode for the identification of Stephania species.
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Leaf epidermal features of Chinese Stephania Lour. (Menispermaceae) and their systematic significance
Kew Bulletin, 2017Co-Authors: Yun Kang, Florian Jabbour, Shuijuan Cao, Yaqin Wang, Jixian Guo, Jianming HuangAbstract:A previously published molecular phylogeny of Chinese species of Stephania (Menispermaceae) showed that none of the sections sensu Luo, recognised based on flower, inflorescence, leaf, and tuber traits, was monophyletic. In order to assess the use of an additional vegetative character for supraspecific classification in Stephania, we conducted an analysis of leaf micromorphology. Leaf epidermal features of 34 out of the c. 40 Chinese species of Stephania were investigated using light and scanning electron microscopy. Leaf epidermal characters were found to be constant at species level, but variable among species. The distribution pattern of papillae on the epidermal cells of the adaxial and abaxial sides of the leaves revealed three groups in Stephania, fitting with the recognition of three subgenera. Combined with the latter character, the shape of anticlinal cell walls proved to be useful to discriminate between sections, at least in subgenus Stephania. In addition, our results show that S. chingtungensis (subg. Stephania) exhibits leaf micromorphological states characteristic of subgenus Tuberiphania. The systematic position of the recently described S. novenanthera and of the taxonomically challenging S. excentrica within subgenus Tuberiphania is suggested by leaf epidermal features.
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Identification of Alkaloids in Stephania hainanensis by Liquid Chromatography Coupled with Quadrupole Time-of-flight Mass Spectrometry.
Phytochemical analysis : PCA, 2016Co-Authors: Ying Liu, Yun Kang, Yaqin Wang, Jixian Guo, Ping Yang, Jianming HuangAbstract:Introduction Plants in the genus Stephania can produce diverse bioactive alkaloids. Stephania hainanensis is a medicinal plant that contains effective alkaloids. However, only 10 alkaloids have been reported in this species. Objective To characterise the alkaloids in Stephania hainanensis using liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS). Methods An LC-QTOF-MS/MS method was developed for structural characterisation of the alkaloids in Stephania hainanensis. The chromatographic separation was performed on a phenyl column with gradient elution, and the tandem mass spectra were obtained by using an electrospray ionisation (ESI) interface in positive ionisation mode. Compound identification was based on the exact masses, fragmentation pathways, retention behaviours and related botanical biogenesis. Results A total of 37 tetrahydroprotoberberine-, quaternary protoberberine-, aporphine-, proaporphine-, benzylisoquinoline- or bisbenzylisoquinoline-type alkaloids were identified or tentatively identified in a single LC run. Twenty-seven of these alkaloids, including the benzylisoquinoline-type of alkaloids, have not been previously reported in Stephania hainanensis. The possible fragmentation pathways of different types of alkaloids were proposed. Besides the general fragmentations, the characteristic losses of CH3N = CH2 were observed for the benzylisoquinoline and aporphine alkaloids with two methyl groups on the nitrogen. Conclusion The LC-QTOF-MS/MS method enabled profiling and rational, but tentative, identification of diverse alkaloids in Stephania hainanensis. The results obtained may be helpful for understanding the bioactivity of S. hainanensis and evaluating the quality of this plant. Copyright © 2016 John Wiley & Sons, Ltd.
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Molecular phylogeny of Chinese Stephania (Menispermaceae) and reassessment of the subgeneric and sectional classifications
Australian Systematic Botany, 2015Co-Authors: Daotao Xie, Florian Jabbour, Yun Kang, Yaqin Wang, Jianming Huang, Hui Xie, Jixian GuoAbstract:Many species of Stephania Lour. are used traditionally in South-east Asia as medicinal plants. Understanding and predicting their therapeutic properties could be improved, provided that the evolutionary relationships among lineages are clarified. We present the first molecular phylogeny of the genus Stephania, focusing on the species occurring in China on the basis of nuclear (internal transcribed spacer, ITS) and chloroplast (trnL–F) markers sequenced from 29 species of Stephania. Our results showed that S. subgenus Stephania and S. subgenus Tuberiphania are not monophyletic, owing to the phylogenetic placement of a single species (S. mashanica). The relationships with the third subgenus, S. subgenus Botryodiscia, are not resolved. None of the sections in our analyses is monophyletic. Our study calls for further phylogenetic investigations including more accessions from the whole distribution area of the genus. A taxonomic revision of the genus Stephania, which would reassess the appropriateness of the macromorphological characters used so far to distinguish among subgenera (e.g. flower merism, size and aspect of the rootstock and main root), and sections (e.g. inflorescence morphology, sessiliflorous or not), is much needed.
Xieli Wang - One of the best experts on this subject based on the ideXlab platform.
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DNA barcodes for the identification of Stephania (Menispermaceae) species.
Molecular biology reports, 2020Co-Authors: Xieli Wang, Yun Kang, Yaqin Wang, Jiayun Xue, Yangyang Zhang, Hui Xie, Weiyu Weng, Jianming HuangAbstract:Stephania is a medicinal plants-rich genus of Menispermaceae. However, the identification of morphologically-similar species in Stephania is difficult using the currently reported methods. The indiscriminate overexploitation of Stephania plants has resulted in clinical misuse and endangerment of many species, which necessitates the development of an efficient and reliable method for species authentication. Therefore, six candidate DNA barcode sequences (ITS, ITS2, psbA-trnH, matK, rbcL, and trnL-F) were tested for their capacity to identify Stephania species. The barcodes were analyzed either as a single region or in combination by tree-based [neighbor-joining (NJ) and Bayesian inference (BI)], distance-based (PWG-distance), and sequence similarity-based (TaxonDNA) methods. Amplification and sequencing success rates were 100% for all six candidate barcodes. A comparison of six barcode regions showed that ITS exhibited the highest number of variable and informative sites (182/179), followed by psbA-trnH (173/162). DNA barcoding gap assessment showed that interspecific distances of the six barcodes were greater than intraspecific distances. The identification results showed that species discrimination rates of combination barcodes were higher than those of single-region barcodes. Based on best match and best close match methods, the ITS+psbA-trnH combination exhibited the highest discrimination power (93.93%). Further, all Stephania species could be resolved in the phylogenetic trees based on ITS+psbA-trnH (NJ, BI). This study demonstrates that DNA barcoding is an efficient method to identify Stephania species and recommends that the ITS+psbA-trnH combination is the best DNA barcode for the identification of Stephania species.
Ji-hua Liu - One of the best experts on this subject based on the ideXlab platform.
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Differentiation, chemical profiles and quality evaluation of five medicinal Stephania species (Menispermaceae) through integrated DNA barcoding, HPLC-QTOF-MS/MS and UHPLC-DAD.
Fitoterapia, 2019Co-Authors: Wanli Zhao, Manyu Liu, Chen Shen, Hanqing Liu, Zhentang Zhang, Wen-ling Dai, Xiufeng Liu, Ji-hua LiuAbstract:Stephania species is one of the alkaloid-rich genus of the family Menispermaceae. Most plants of the genus Stephania possess medicinal value, whose main components are alkaloids. However, the non-medical species are often mistakenly used as herbs because of the difficulty in identification of the species. A systematic method which involved the combination of DNA barcoding, HPLC-QTOF-MS/MS and UHPLC was established for differentiation, chemical profiles and quality evaluation of medicinal Stephania species. Firstly, twenty batches of Stephania species samples were classified into five Stephania species by DNA barcoding. Secondly, 114 alkaloids including 22 tetrahydroprotoberberines, 13 protoberberines, 27 aporphines, 13 benzylisoquinolines, 12 hasubanans, 3 morphines and 24 other alkaloids were clearly or tentatively identified. Thirdly, thirteen representative components were simultaneously detected by UHPLC-DAD to characterize the differences of chemical compositions among five Stephania species. In conclusion, this method was comprehensive and effective for identification, chemical profiles and quality evaluation of medicinal Stephania species. It will provide a basis for holistic quality evaluation of medicinal Stephania species.
