Arid
DOI10.1371/journal.pone.0194901
Detecting hierarchical levels of connectivity in a population of Acacia tortilis at the northern edge of the species’ global distribution: Combining classical population genetics and network analyses
Rodger, Yael S.1,2; Greenbaum, Gili3; Silver, Micha4; Bar-David, Shirli1; Winters, Gidon2
通讯作者Winters, Gidon
来源期刊PLOS ONE
ISSN1932-6203
出版年2018
卷号13期号:4
英文摘要

Genetic diversity and structure of populations at the edge of the species’ spatial distribution are important for potential adaptation to environmental changes and consequently, for the long-term survival of the species. Here, we combined classical population genetic methods with newly developed network analyses to gain complementary insights into the genetic structure and diversity of Acacia tortilis, a keystone desert tree, at the northern edge of its global distribution, where the population is under threat from climatic, ecological, and anthropogenic changes. We sampled A. tortilis from 14 sites along the Dead Sea region and the Arava Valley in Israel and in Jordan. In addition, we obtained samples from Egypt and Sudan, the hypothesized origin of the species. Samples from all sites were genotyped using six polymorphic microsatellite loci. Our results indicate a significant genetic structure in A. tortilis along the Arava Valley. This was detected at different hierarchical levels from the basic unit of the subpopulation, corresponding to groups of trees within ephemeral rivers (wadis), to groups of subpopulations (communities) that are genetically more connected relative to others. The latter structure mostly corresponds to the partition of the major drainage basins in the area. Network analyses, combined with classical methods, allowed for the identification of key A. tortilis subpopulations in this region, characterized by their relatively high level of genetic diversity and centrality in maintaining gene flow in the population. Characterizing such key subpopulations may enable conservation managers to focus their efforts on certain subpopulations that might be particularly important for the population’s long-term persistence, thus contributing to species conservation within its peripheral range.


类型Article
语种英语
国家Israel ; USA
收录类别SCI-E
WOS记录号WOS:000429791900016
WOS关键词LARGE MAMMALIAN HERBIVORES ; F-STATISTICS ; CONSERVATION ; DIVERSITY ; NEGEV ; CENTRALITY ; DYNAMICS ; LATITUDE ; DESERT ; NUMBER
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
来源机构Ben-Gurion University of the Negev
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212264
作者单位1.Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Mitrani Dept Desert Ecol, Midreshet Ben Gurion, Israel;
2.Tamar Reg Council, Dead Sea Arava Sci Ctr, Neve Zohar, Israel;
3.Stanford Univ, Dept Biol, Stanford, CA 94305 USA;
4.Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Remote Sensing Lab, Midreshet Ben Gurion, Israel
推荐引用方式
GB/T 7714
Rodger, Yael S.,Greenbaum, Gili,Silver, Micha,等. Detecting hierarchical levels of connectivity in a population of Acacia tortilis at the northern edge of the species’ global distribution: Combining classical population genetics and network analyses[J]. Ben-Gurion University of the Negev,2018,13(4).
APA Rodger, Yael S.,Greenbaum, Gili,Silver, Micha,Bar-David, Shirli,&Winters, Gidon.(2018).Detecting hierarchical levels of connectivity in a population of Acacia tortilis at the northern edge of the species’ global distribution: Combining classical population genetics and network analyses.PLOS ONE,13(4).
MLA Rodger, Yael S.,et al."Detecting hierarchical levels of connectivity in a population of Acacia tortilis at the northern edge of the species’ global distribution: Combining classical population genetics and network analyses".PLOS ONE 13.4(2018).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Rodger, Yael S.]的文章
[Greenbaum, Gili]的文章
[Silver, Micha]的文章
百度学术
百度学术中相似的文章
[Rodger, Yael S.]的文章
[Greenbaum, Gili]的文章
[Silver, Micha]的文章
必应学术
必应学术中相似的文章
[Rodger, Yael S.]的文章
[Greenbaum, Gili]的文章
[Silver, Micha]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。