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Cluster analysis of Pinus taiwanensis for its ex situ conservation in China.

Identifieur interne : 000160 ( Main/Curation ); précédent : 000159; suivant : 000161

Cluster analysis of Pinus taiwanensis for its ex situ conservation in China.

Auteurs : X. Gao [République populaire de Chine] ; L. Shi [République populaire de Chine] ; Z. Wu [République populaire de Chine]

Source :

Genetics and molecular research : GMR [ 1676-5680 ] ; 2015.

RBID : pubmed:26125783

Descripteurs français

Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- China, Conservation of Natural Resources, DNA, Plant (genetics), Genetic Variation, Geographic Information Systems, Pinus (genetics), Pinus (growth & development).
MESH :
- chemical , genetics : DNA, Plant.
- geographic : China.
- genetics : Pinus.
- growth & development : Pinus.
- Conservation of Natural Resources, Genetic Variation, Geographic Information Systems.

Abstract

Pinus taiwanensis Hayata is one of the most famous sights in the Huangshan Scenic Resort, China, because of its strong adaptability and ability to survive; however, this endemic species is currently under threat in China. Relationships between different P. taiwanensis populations have been well-documented; however, few studies have been conducted on how to protect this rare pine. In the present study, we propose the ex situ conservation of this species using geographical information system (GIS) cluster and genetic diversity analyses. The GIS cluster method was conducted as a preliminary analysis for establishing a sampling site category based on climatic factors. Genetic diversity was analyzed using morphological and genetic traits. By combining geographical information with genetic data, we demonstrate that growing conditions, morphological traits, and the genetic make-up of the population in the Huangshan Scenic Resort were most similar to conditions on Tianmu Mountain. Therefore, we suggest that Tianmu Mountain is the best choice for the ex situ conservation of P. taiwanensis. Our results provide a molecular basis for the sustainable management, utilization, and conservation of this species in Huangshan Scenic Resort.

DOI: 10.4238/2015.June.1.1
PubMed: 26125783

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pubmed:26125783

Le document en format XML

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<front><div type="abstract" xml:lang="en">Pinus taiwanensis Hayata is one of the most famous sights in the Huangshan Scenic Resort, China, because of its strong adaptability and ability to survive; however, this endemic species is currently under threat in China. Relationships between different P. taiwanensis populations have been well-documented; however, few studies have been conducted on how to protect this rare pine. In the present study, we propose the ex situ conservation of this species using geographical information system (GIS) cluster and genetic diversity analyses. The GIS cluster method was conducted as a preliminary analysis for establishing a sampling site category based on climatic factors. Genetic diversity was analyzed using morphological and genetic traits. By combining geographical information with genetic data, we demonstrate that growing conditions, morphological traits, and the genetic make-up of the population in the Huangshan Scenic Resort were most similar to conditions on Tianmu Mountain. Therefore, we suggest that Tianmu Mountain is the best choice for the ex situ conservation of P. taiwanensis. Our results provide a molecular basis for the sustainable management, utilization, and conservation of this species in Huangshan Scenic Resort.</div>
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Système d'information stratégique et agriculture (serveur d'exploration)

Cluster analysis of Pinus taiwanensis for its ex situ conservation in China.

Cluster analysis of Pinus taiwanensis for its ex situ conservation in China.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki