Phylogeography’s past, present, and future: 10 years after Avise, 2000

系统地理学 溯祖理论 生物 近似贝叶斯计算 进化生物学 人口 生态学 系统发育学 数据科学 推论 计算机科学 人工智能 遗传学 基因 社会学 人口学
作者
Michael J. Hickerson,Bryan C. Carstens,Jeannine Cavender‐Bares,Keith A. Crandall,Catherine H. Graham,Jerald B. Johnson,Leslie J. Rissler,Pedro F. Victoriano,Anne D. Yoder
出处
期刊:Molecular Phylogenetics and Evolution [Elsevier BV]
卷期号:54 (1): 291-301 被引量:648
标识
DOI:10.1016/j.ympev.2009.09.016
摘要

a b s t r a c t Approximately 20 years ago, Avise and colleagues proposed the integration of phylogenetics and popu- lation genetics for investigating the connection between micro- and macroevolutionary phenomena. The new field was termed phylogeography. Since the naming of the field, the statistical rigor of phyloge- ography has increased, in large part due to concurrent advances in coalescent theory which enabled model-based parameter estimation and hypothesis testing. The next phase will involve phylogeography increasingly becoming the integrative and comparative multi-taxon endeavor that it was originally con- ceived to be. This exciting convergence will likely involve combining spatially-explicit multiple taxon coalescent models, genomic studies of natural selection, ecological niche modeling, studies of ecological speciation, community assembly and functional trait evolution. This ambitious synthesis will allow us to determine the causal links between geography, climate change, ecological interactions and the evolution and composition of taxa across whole communities and assemblages. Although such integration presents analytical and computational challenges that will only be intensified by the growth of genomic data in non-model taxa, the rapid development of ''likelihood-free approximate Bayesian methods should per- mit parameter estimation and hypotheses testing using complex evolutionary demographic models and genomic phylogeographic data. We first review the conceptual beginnings of phylogeography and its accomplishments and then illustrate how it evolved into a statistically rigorous enterprise with the con- current rise of coalescent theory. Subsequently, we discuss ways in which model-based phylogeography can interface with various subfields to become one of the most integrative fields in all of ecology and evo- lutionary biology.

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
爆米花应助碎冰蓝采纳,获得10
1秒前
1秒前
果筠蔚完成签到,获得积分10
3秒前
3秒前
毕业毕业完成签到,获得积分10
4秒前
田様应助11采纳,获得10
4秒前
深情安青应助柒月采纳,获得10
5秒前
老王发布了新的文献求助10
5秒前
多云完成签到,获得积分10
6秒前
小乔应助悦耳的雍采纳,获得10
6秒前
小蘑菇应助potato0mud采纳,获得10
6秒前
江江江完成签到,获得积分10
6秒前
6秒前
8秒前
老王完成签到,获得积分10
8秒前
yihoxu发布了新的文献求助10
9秒前
ZMTW完成签到,获得积分10
9秒前
11秒前
麦子发布了新的文献求助10
12秒前
科研通AI6.2应助虚幻涫采纳,获得10
12秒前
Akim应助por采纳,获得10
12秒前
15秒前
15秒前
Fearless发布了新的文献求助10
16秒前
firthunands发布了新的文献求助30
17秒前
17秒前
20秒前
大胆白猫发布了新的文献求助10
22秒前
jiam发布了新的文献求助30
22秒前
一棵发布了新的文献求助10
22秒前
23秒前
23秒前
Owen应助小树苗采纳,获得10
23秒前
852应助qscheng采纳,获得10
23秒前
麦子完成签到,获得积分10
24秒前
xiong发布了新的文献求助10
25秒前
25秒前
鳗鱼天宇发布了新的文献求助10
26秒前
26秒前
27秒前
高分求助中
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Organic Reactions Volume 118 400
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6466221
求助须知:如何正确求助?哪些是违规求助? 8272829
关于积分的说明 17639121
捐赠科研通 5540782
什么是DOI,文献DOI怎么找? 2907845
邀请新用户注册赠送积分活动 1884846
关于科研通互助平台的介绍 1732751