An ancestral process with selection in an ecological community

被引:1
作者
Griswold, Cortland K. [1 ]
机构
[1] Univ Guelph, Dept Integrat Biol, Guelph, ON N1G 2W1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Coalescent; Covariance; Graph; Metacommunity; Multivariate; APPROXIMATE BAYESIAN COMPUTATION; PRINCIPAL COMPONENTS; EVOLUTION; POPULATION; PHYLOGENIES; MODELS; TRAIT; DIVERSITY; GENEALOGY; GENETICS;
D O I
10.1016/j.jtbi.2018.12.032
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
An ecological community is a geographical area composed of two or more species. The ancestral histories of individuals from the same and different species in an ecological community may be interconnected due to direct and indirect interactions. Here, we present a model of the ancestral history of an ecological community that is built upon the framework of coalescent and ancestral graph theory. The model includes selection, whereby the fitness of an ancestral lineage is a function of both its abiotic environment and interactions with individuals from its biotic environment. The model also allows for metacommunity structure. We first define a forward-time percolation process characterizing the evolution of an ecological community and then present its corresponding backward-time graphical model in the limit of large population sizes. Next, we present expectations of properties of phenotypes in the graph. These expectations give insight into the structure of phenotypic variation and trait-environment covariances across local communities, including the effects of drift, intra and inter-species genealogical structure and the sampling effects of selection. In addition, we derive expectations for multivariate phenotypic diversity in a community assuming neutrality and compare this to expectations with stabilizing selection. Crown Copyright (C) 2019 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:128 / 144
页数:17
相关论文
共 61 条
[1]  
[Anonymous], 2009, Coalescent Theory: An Introduction
[2]  
[Anonymous], 2004, Interdisciplinary Applied Mathematics, DOI DOI 10.1007/978-0-387-21822-9
[3]   The effect of selection on genealogies [J].
Barton, NH ;
Etheridge, AM .
GENETICS, 2004, 166 (02) :1115-1131
[4]  
Beaumont MA, 2002, GENETICS, V162, P2025
[5]   Approximate Bayesian Computation in Evolution and Ecology [J].
Beaumont, Mark A. .
ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS, VOL 41, 2010, 41 :379-406
[6]  
Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
[7]  
CANNINGS C, 1975, ADV APPL PROBAB, V7, P264, DOI 10.2307/1426077
[8]   ANALYSIS OF EVOLUTION - EVOLUTIONARY RATES, INDEPENDENCE AND TREENESS [J].
CAVALLISFORZA, LL ;
PIAZZA, A .
THEORETICAL POPULATION BIOLOGY, 1975, 8 (02) :127-165
[9]   The merging of community ecology and phylogenetic biology [J].
Cavender-Bares, Jeannine ;
Kozak, Kenneth H. ;
Fine, Paul V. A. ;
Kembel, Steven W. .
ECOLOGY LETTERS, 2009, 12 (07) :693-715
[10]   Approximate Bayesian Computation (ABC) in practice [J].
Csillery, Katalin ;
Blum, Michael G. B. ;
Gaggiotti, Oscar E. ;
Francois, Olivier .
TRENDS IN ECOLOGY & EVOLUTION, 2010, 25 (07) :410-418