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Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude

Potentilla bifurca is widely distributed in Eurasia, including the Tibetan Plateau. It is a valuable medicinal plant in the Tibetan traditional medicine system, especially for the treatment of diabetes. This study investigated the functional gene profile of Potentilla bifurca at different altitudes...

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Detalles Bibliográficos
Autores principales: Tang, Xun, Li, Jinping, Liu, Likuan, Jing, Hui, Zuo, Wenming, Zeng, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503701/
https://www.ncbi.nlm.nih.gov/pubmed/36143374
http://dx.doi.org/10.3390/life12091337
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author Tang, Xun
Li, Jinping
Liu, Likuan
Jing, Hui
Zuo, Wenming
Zeng, Yang
author_facet Tang, Xun
Li, Jinping
Liu, Likuan
Jing, Hui
Zuo, Wenming
Zeng, Yang
author_sort Tang, Xun
collection PubMed
description Potentilla bifurca is widely distributed in Eurasia, including the Tibetan Plateau. It is a valuable medicinal plant in the Tibetan traditional medicine system, especially for the treatment of diabetes. This study investigated the functional gene profile of Potentilla bifurca at different altitudes by RNA-sequencing technology, including de novo assembly of 222,619 unigenes from 405 million clean reads, 57.64% of which were annotated in Nr, GO, KEGG, Pfam, and Swiss-Prot databases. The most significantly differentially expressed top 50 genes in the high-altitude samples were derived from plants that responded to abiotic stress, such as peroxidase, superoxide dismutase protein, and the ubiquitin-conjugating enzyme. Pathway analysis revealed that a large number of DEGs encode key enzymes involved in secondary metabolites, including phenylpropane and flavonoids. In addition, a total of 298 potential genomic SSRs were identified in this study, which provides information on the development of functional molecular markers for genetic diversity assessment. In conclusion, this study provides the first comprehensive assessment of the Potentilla bifurca transcriptome. This provides new insights into coping mechanisms for non-model organisms surviving in harsh environments at high altitudes, as well as molecular evidence for the selection of superior medicinal plants.
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spelling pubmed-95037012022-09-24 Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude Tang, Xun Li, Jinping Liu, Likuan Jing, Hui Zuo, Wenming Zeng, Yang Life (Basel) Article Potentilla bifurca is widely distributed in Eurasia, including the Tibetan Plateau. It is a valuable medicinal plant in the Tibetan traditional medicine system, especially for the treatment of diabetes. This study investigated the functional gene profile of Potentilla bifurca at different altitudes by RNA-sequencing technology, including de novo assembly of 222,619 unigenes from 405 million clean reads, 57.64% of which were annotated in Nr, GO, KEGG, Pfam, and Swiss-Prot databases. The most significantly differentially expressed top 50 genes in the high-altitude samples were derived from plants that responded to abiotic stress, such as peroxidase, superoxide dismutase protein, and the ubiquitin-conjugating enzyme. Pathway analysis revealed that a large number of DEGs encode key enzymes involved in secondary metabolites, including phenylpropane and flavonoids. In addition, a total of 298 potential genomic SSRs were identified in this study, which provides information on the development of functional molecular markers for genetic diversity assessment. In conclusion, this study provides the first comprehensive assessment of the Potentilla bifurca transcriptome. This provides new insights into coping mechanisms for non-model organisms surviving in harsh environments at high altitudes, as well as molecular evidence for the selection of superior medicinal plants. MDPI 2022-08-29 /pmc/articles/PMC9503701/ /pubmed/36143374 http://dx.doi.org/10.3390/life12091337 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Xun
Li, Jinping
Liu, Likuan
Jing, Hui
Zuo, Wenming
Zeng, Yang
Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title_full Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title_fullStr Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title_full_unstemmed Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title_short Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude
title_sort transcriptome analysis provides insights into potentilla bifurca adaptation to high altitude
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503701/
https://www.ncbi.nlm.nih.gov/pubmed/36143374
http://dx.doi.org/10.3390/life12091337
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