Suppr超能文献

基于RAPD和AFLP标记揭示的中国金花茶(Camellia nitidissima)的遗传多样性与种群结构

Genetic diversity and population structure of yellow camellia (Camellia nitidissima) in China as revealed by RAPD and AFLP markers.

作者信息

Tang Shaoqing, Bin Xiaoyun, Wang Li, Zhong Yang

机构信息

College of Life Sciences, Guangxi Normal University, Guilin, PR China.

出版信息

Biochem Genet. 2006 Oct;44(9-10):449-61. doi: 10.1007/s10528-006-9053-y.

Abstract

Camellia nitidissima, a rare plant but a useful genetic resource for commercial cultivation of ornamental camellias, is distributed in a narrow region of South China and North Vietnam. In this study, RAPD and AFLP markers were used to assess the genetic diversity and population structure of six natural populations of C. nitidissima from Guangxi in South China. Twenty RAPD primers amplified 183 bands, of which 143 bands were polymorphic, and 8 AFLP primer pairs produced 502 bands, of which 364 were polymorphic. Independent as well as combined analyses of the cluster analyses of the RAPD and AFLP fragments showed that the six populations could be classified into two major genetic groups corresponding to the Nanning and Fangcheng areas. The Mantel test revealed significant correlation between the genetic and geographic distances of C. nitidissima populations (r = 0.953, p = 0.036). AMOVA analysis allowed the partitioning of the genetic variation between groups (36.09%), among populations within groups (25.78%), and within populations (38.14%). An understanding of both the genetic diversity and the population structure of C. nitidissima in China can also provide insight into the conservation and management of this endangered species.

摘要

金花茶是一种珍稀植物,也是用于观赏茶花商业栽培的有用遗传资源,分布于中国南部和越南北部的狭窄区域。在本研究中,利用RAPD和AFLP标记评估了来自中国南方广西的六个金花茶自然种群的遗传多样性和种群结构。20个RAPD引物扩增出183条带,其中143条带具有多态性,8对AFLP引物产生502条带,其中364条具有多态性。对RAPD和AFLP片段的聚类分析进行独立及联合分析表明,这六个种群可分为对应于南宁和防城地区的两个主要遗传组。Mantel检验显示金花茶种群的遗传距离与地理距离之间存在显著相关性(r = 0.953,p = 0.036)。AMOVA分析表明,遗传变异可在组间(36.09%)、组内种群间(25.78%)和种群内(38.14%)进行划分。了解中国金花茶的遗传多样性和种群结构也可为该濒危物种的保护和管理提供见解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验