RRphylogeography: A new method to find the area of origin of species and the history of past contacts between species

进化生物学 地理 生物 生态学
作者
Alessandro Mondanaro,Silvia Castiglione,Mirko Di Febbraro,Axel Timmermann,Giorgia Girardi,Marina Melchionna,Carmela Serio,Arianna Morena Belfiore,Pasquale Raia
出处
期刊:Methods in Ecology and Evolution [Wiley]
标识
DOI:10.1111/2041-210x.14478
摘要

Abstract One of the main goals of historical biogeography is understanding where species originated, and how climate change and ecological interactions shaped their distribution. The task is complicated by both active and passive mechanisms, including habitat tracking, the separation of species into metapopulations of variably interconnected demes, and long‐distance dispersal, which may all obscure the geographic signature of species origin. Current historical biogeography tools use phylogenies to infer the area of origin (AOO). They work by discretizing the geographic range occupied by the species into distinct areas and then applying ancestral character estimation to identify the area occupied at speciation. These methods are powerful and can account for different modes of speciation. Yet, they are bound to assume that the discrete areas currently occupied by the species are faithful representation of their climatic and historic affiliation and ignore metapopulation structures. Still, most methods cannot take advantage of fossil information or work with phylogenies including extinct species. Although explicit bioclimatic modelling is now possible under some implementations, these limitations are partly unresolved, which burdens the accuracy of the AOO estimation process. We present a new tool written in R, named RRphylogeography , meant to find the AOO of species, and to locate feasible zones of contact between species throughout their history. RRphylogeography starts from the bioclimatic modelling of the species, identifies potential habitat patches occupied during speciation and finds the habitat patches most likely to represent the AOO or contact. By using virtual species simulations, we compared RRphylogeography to common historical biogeography tools. We found RRphylogeography statistically outcompetes these alternatives under all study conditions, reaching especially accurate predictions. We additionally used RRphylogeography to investigate the complex phylogeographic history of the polar bear Ursus maritimus . The method placed the origin of the species in Northern Beringia. Intriguingly, it further shows possible contact zones between polar and brown bear in northwestern Europe during the late Pleistocene and in Beringia during the Pleistocene to Holocene transition, which is in perfect agreement with the known hybridization history between the two species.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
复杂的可乐完成签到 ,获得积分10
1秒前
magic_sweets完成签到,获得积分10
2秒前
三百一十四完成签到 ,获得积分10
3秒前
寒冷的奇异果完成签到,获得积分10
4秒前
背水完成签到 ,获得积分10
9秒前
为你等候完成签到,获得积分10
11秒前
科研通AI5应助001采纳,获得10
11秒前
Windsyang完成签到,获得积分10
11秒前
chai完成签到,获得积分10
12秒前
marc107完成签到,获得积分10
12秒前
jscr完成签到,获得积分10
14秒前
GQ完成签到,获得积分10
17秒前
周运完成签到 ,获得积分10
18秒前
縤雨完成签到 ,获得积分10
20秒前
球球了完成签到,获得积分10
20秒前
韩麒嘉完成签到 ,获得积分10
22秒前
AXEDW完成签到,获得积分10
28秒前
嘟嘟雯完成签到 ,获得积分10
28秒前
mix完成签到 ,获得积分10
29秒前
NXK发布了新的文献求助10
30秒前
开心夏旋完成签到 ,获得积分10
30秒前
唐思远完成签到 ,获得积分10
36秒前
随风完成签到,获得积分0
36秒前
窝窝头完成签到,获得积分10
36秒前
nqterysc完成签到,获得积分10
39秒前
zcg完成签到,获得积分10
47秒前
jixuzhuixun完成签到 ,获得积分10
49秒前
杜嘟嘟完成签到,获得积分10
49秒前
suodeheng完成签到,获得积分10
52秒前
笑点低的凉面完成签到,获得积分10
53秒前
yxm完成签到 ,获得积分10
54秒前
55秒前
范白容完成签到 ,获得积分0
57秒前
悄悄是心上的肖肖完成签到 ,获得积分10
58秒前
搞怪人雄完成签到,获得积分10
59秒前
张世瑞发布了新的文献求助10
1分钟前
songnvshi完成签到 ,获得积分10
1分钟前
飞0802完成签到,获得积分10
1分钟前
念初完成签到 ,获得积分10
1分钟前
小包子完成签到,获得积分10
1分钟前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Narcissistic Personality Disorder 700
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
The Elgar Companion to Consumer Behaviour and the Sustainable Development Goals 540
Images that translate 500
Transnational East Asian Studies 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3843307
求助须知:如何正确求助?哪些是违规求助? 3385613
关于积分的说明 10540918
捐赠科研通 3106201
什么是DOI,文献DOI怎么找? 1710900
邀请新用户注册赠送积分活动 823851
科研通“疑难数据库(出版商)”最低求助积分说明 774308