Bridging Performance and Adaptive Landscapes to Understand Long-Term Functional Evolution
Bridging Performance and Adaptive Landscapes to Understand Long-Term Functional Evolution
复制标题
连接性能和适应性景观以了解长期功能演化
DOI:
10.1086/725416
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发表时间:
2023
影响因子:
1.6
通讯作者:
Moen, Daniel S.
中科院分区:
文献类型:
--
作者:
Simon, Monique Nouailhetas;Moen, Daniel S.
Understanding functional adaptation demands an integrative framework that captures the complex interactions between form, function, ecology, and evolutionary processes. In this review, we discuss how to integrate the following two distinct approaches to better understand functional evolution: (1) the adaptive landscape approach (ALA), aimed at finding adaptive peaks for different ecologies, and (2) the performance landscape approach (PLA), aimed at finding performance peaks for different ecologies. We focus on the Ornstein-Uhlenbeck process as the evolutionary model for the ALA and on biomechanical modeling to estimate performance for the PLA. Whereas both the ALA and the PLA have each given insight into functional adaptation, separately they cannot address how much performance contributes to fitness or whether evolutionary constraints have played a role in form-function evolution. We show that merging these approaches leads to a deeper understanding of these issues. By comparing the locations of performance and adaptive peaks, we can infer how much performance contributes to fitness in species’ current environments. By testing for the relevance of history on phenotypic variation, we can infer the influence of past selection and constraints on functional adaptation. We apply this merged framework in a case study of turtle shell evolution and explain how to interpret different possible outcomes. Even though such outcomes can be quite complex, they represent the multifaceted relations among function, fitness, and constraints.
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影响因子:
2.9
作者:
SCHLUTER, D;NYCHKA, D
通讯作者:
NYCHKA, D
DOI:
10.1093/iob/obab016
发表时间:
2021
期刊:
Integrative organismal biology (Oxford, England)
影响因子:
--
作者:
Friedman ST;Price SA;Wainwright PC
通讯作者:
Wainwright PC
影响因子:
5.2
作者:
Scales, Jeffrey A.;Butler, Marguerite A.
通讯作者:
Butler, Marguerite A.
影响因子:
6.5
作者:
E. Burress;M. Muñoz
通讯作者:
M. Muñoz
影响因子:
3.3
作者:
C. T. Stayton;Lauren F. O'Connor;Nicole M. Nisivoccia
通讯作者:
Nicole M. Nisivoccia