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Population genetic variation characterization of the boreal tree Acer ginnala in Northern China
Genetic diversity and differentiation are revealed particularly through spatio-temporal environmental heterogeneity. Acer ginnala, as a deciduous shrub/small tree, is a foundation species in many terrestrial ecosystems of Northern China. Owing to its increased use as an economic resource, this speci...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419535/ https://www.ncbi.nlm.nih.gov/pubmed/32782277 http://dx.doi.org/10.1038/s41598-020-70444-w |
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author | Ye, Hang Wu, Jiahui Wang, Zhi Hou, Huimin Gao, Yue Han, Wei Ru, Wenming Sun, Genlou Wang, Yiling |
author_facet | Ye, Hang Wu, Jiahui Wang, Zhi Hou, Huimin Gao, Yue Han, Wei Ru, Wenming Sun, Genlou Wang, Yiling |
author_sort | Ye, Hang |
collection | PubMed |
description | Genetic diversity and differentiation are revealed particularly through spatio-temporal environmental heterogeneity. Acer ginnala, as a deciduous shrub/small tree, is a foundation species in many terrestrial ecosystems of Northern China. Owing to its increased use as an economic resource, this species has been in the vulnerability. Therefore, the elucidations of the genetic differentiation and influence of environmental factors on A. ginnala are very critical for its management and future utilization strategies. In this study, high genetic diversity and differentiation occurred in A. ginnala, which might be resulted from its pollination mechanism and species characteristics. Compared with the species level, relatively low genetic diversity was detected at the population level that might be the cause for its vulnerability. There was no significant relationship between genetic and geographical distances, while a significant correlation existed between genetic and environmental distances. Among nineteen climate variables, Annual Mean Temperature (bio1), Mean Diurnal Range (bio2), Isothermality (bio3), Temperature Seasonality (bio4), Precipitation of Wettest Month (bio13), Precipitation Seasonality (bio15), and Precipitation of Warmest Quarter (bio18) could explain the substantial levels of genetic variation (> 40%) in this species. The A. ginnala populations were isolated into multi-subpopulations by the heterogeneous climate conditions, which subsequently promoted the genetic divergence. Climatic heterogeneity played an important role in the pattern of genetic differentiation and population distribution of A. ginnala across a relatively wide range in Northern China. These would provide some clues for the conservation and management of this vulnerable species. |
format | Online Article Text |
id | pubmed-7419535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74195352020-08-13 Population genetic variation characterization of the boreal tree Acer ginnala in Northern China Ye, Hang Wu, Jiahui Wang, Zhi Hou, Huimin Gao, Yue Han, Wei Ru, Wenming Sun, Genlou Wang, Yiling Sci Rep Article Genetic diversity and differentiation are revealed particularly through spatio-temporal environmental heterogeneity. Acer ginnala, as a deciduous shrub/small tree, is a foundation species in many terrestrial ecosystems of Northern China. Owing to its increased use as an economic resource, this species has been in the vulnerability. Therefore, the elucidations of the genetic differentiation and influence of environmental factors on A. ginnala are very critical for its management and future utilization strategies. In this study, high genetic diversity and differentiation occurred in A. ginnala, which might be resulted from its pollination mechanism and species characteristics. Compared with the species level, relatively low genetic diversity was detected at the population level that might be the cause for its vulnerability. There was no significant relationship between genetic and geographical distances, while a significant correlation existed between genetic and environmental distances. Among nineteen climate variables, Annual Mean Temperature (bio1), Mean Diurnal Range (bio2), Isothermality (bio3), Temperature Seasonality (bio4), Precipitation of Wettest Month (bio13), Precipitation Seasonality (bio15), and Precipitation of Warmest Quarter (bio18) could explain the substantial levels of genetic variation (> 40%) in this species. The A. ginnala populations were isolated into multi-subpopulations by the heterogeneous climate conditions, which subsequently promoted the genetic divergence. Climatic heterogeneity played an important role in the pattern of genetic differentiation and population distribution of A. ginnala across a relatively wide range in Northern China. These would provide some clues for the conservation and management of this vulnerable species. Nature Publishing Group UK 2020-08-11 /pmc/articles/PMC7419535/ /pubmed/32782277 http://dx.doi.org/10.1038/s41598-020-70444-w Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ye, Hang Wu, Jiahui Wang, Zhi Hou, Huimin Gao, Yue Han, Wei Ru, Wenming Sun, Genlou Wang, Yiling Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title | Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title_full | Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title_fullStr | Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title_full_unstemmed | Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title_short | Population genetic variation characterization of the boreal tree Acer ginnala in Northern China |
title_sort | population genetic variation characterization of the boreal tree acer ginnala in northern china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419535/ https://www.ncbi.nlm.nih.gov/pubmed/32782277 http://dx.doi.org/10.1038/s41598-020-70444-w |
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