Population Differentiation and Demographic History of the Cycas taiwaniana Complex (Cycadaceae) Endemic to South China as Indicated by DNA Sequences and Microsatellite Markers

doi:10.3389/fgene.2019.01238

	Population Differentiation and Demographic History of the Cycas taiwaniana Complex (Cycadaceae) Endemic to South China as Indicated by DNA Sequences and Microsatellite Markers
	Wang, Xin-Hui 1,2; Li, Jie 1; Zhang, Li-Min 1; He, Zi-Wen 3; Mei, Qi-Ming 1; Gong, Xun4 ; Jian, Shu-Guang 1
通讯作者	Jian, Shu-Guang(jiansg@scbg.ac.cn)
	2019-12-23
发表期刊	FRONTIERS IN GENETICS
卷号	10 页码:15
摘要	Historical geology, climatic oscillations, and seed dispersal capabilities are thought to influence the population dynamics and genetics of plants, especially for distribution-restricted and threatened species. Investigating the genetic resources within and among taxa is a prerequisite for conservation management. The Cycas taiwaniana complex consists of six endangered species that are endemic to South China. In this study, we investigated the relationship between phylogeographic history and the genetic structure of the C. taiwaniana complex. To estimate the phylogeographic history of the complex, we assessed the genetic structure and divergence time, and performed phylogenetic and demographic historical analyses. Two chloroplast DNA intergenic regions (cpDNA), two single-copy nuclear genes (SCNGs), and six microsatellite loci (SSR) were sequenced for 18 populations. The SCNG data indicated a high genetic diversity within populations, a low genetic diversity among populations, and significant genetic differentiation among populations. Significant phylogeographical structure was detected. Structure and phylogenetic analyses both revealed that the 18 populations of the C. taiwaniana complex have two main lineages, which were estimated to diverge in the Middle Pleistocene. We propose that Cycas fairylakea was incorporated into Cycas szechuanensis and that the other populations, which are mainly located on Hainan Island, merged into one lineage. Bayesian skyline plot analyses revealed that the C. taiwaniana complex experienced a recent decline, suggesting that the complex probably experienced a bottleneck event. We infer that the genetic structure of the C. taiwaniana complex has been affected by Pleistocene climate shifts, sea-level oscillations, and human activities. In addition to providing new insights into the evolutionary legacy of the genus, the genetic characterizations will be useful for the conservation of Cycas species.
关键词	Cycas taiwaniana complex genetic diversity phylogeographic structure population dynamics conservation
DOI	10.3389/fgene.2019.01238
收录类别	SCI ; SCI
语种	英语
WOS记录号	WOS:000508576700001
引用统计
文献类型	期刊论文
条目标识符	http://ir.kib.ac.cn/handle/151853/70452
专题	中国科学院东亚植物多样性与生物地理学重点实验室
通讯作者	Jian, Shu-Guang
作者单位	1.Chinese Acad Sci, South China Bot Garden, Guangdong Prov Key Lab Appl Bot, Guangzhou, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Sun Yat Sen Univ, Sch Life Sci, Guangzhou, Peoples R China 4.Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xin-Hui,Li, Jie,Zhang, Li-Min,et al. Population Differentiation and Demographic History of the Cycas taiwaniana Complex (Cycadaceae) Endemic to South China as Indicated by DNA Sequences and Microsatellite Markers[J]. FRONTIERS IN GENETICS,2019,10:15.
APA	Wang, Xin-Hui.,Li, Jie.,Zhang, Li-Min.,He, Zi-Wen.,Mei, Qi-Ming.,...&Jian, Shu-Guang.(2019).Population Differentiation and Demographic History of the Cycas taiwaniana Complex (Cycadaceae) Endemic to South China as Indicated by DNA Sequences and Microsatellite Markers.FRONTIERS IN GENETICS,10,15.
MLA	Wang, Xin-Hui,et al."Population Differentiation and Demographic History of the Cycas taiwaniana Complex (Cycadaceae) Endemic to South China as Indicated by DNA Sequences and Microsatellite Markers".FRONTIERS IN GENETICS 10(2019):15.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Wang-2019-Population（1964KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载