2022
DOI: 10.1111/eva.13492
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Drivers of population differentiation in phenotypic plasticity in a temperate conifer: A 27‐year study

Abstract: Phenotypic plasticity is a main mechanism for organisms to cope with changing environments and broaden their ecological range. Plasticity is genetically based and can evolve under natural selection, such that populations within a species show distinct phenotypic responses to the environment if evolved under different conditions. Understanding how intraspecific variation in phenotypic plasticity arises is critical to assess potential adaptation to ongoing climate change. Theory predicts that plasticity is favor… Show more

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Cited by 10 publications
(18 citation statements)
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“…Our second expectation dealt with the effects of genotypic and ecological diversity on phenotypic plasticity of A. thaliana traits, which was supported by the positive relationship between environmental heterogeneity and phenotypic plasticity found in other plants [31,32,85,86]. Our common garden experiments, carried out under unplanned benign and harsh conditions for A. thaliana, allowed us to estimate the response of maternal lines from each population to warmer temperatures and more seasonal precipitation (Fig.…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…Our second expectation dealt with the effects of genotypic and ecological diversity on phenotypic plasticity of A. thaliana traits, which was supported by the positive relationship between environmental heterogeneity and phenotypic plasticity found in other plants [31,32,85,86]. Our common garden experiments, carried out under unplanned benign and harsh conditions for A. thaliana, allowed us to estimate the response of maternal lines from each population to warmer temperatures and more seasonal precipitation (Fig.…”
Section: Discussionmentioning
confidence: 95%
“…Thus, we also hypothesized that differences in the ecological diversity of populations promoted lower and higher phenotypic variation in populations with low and high genotypic diversity, respectively. On top of the effects of fine-scale selection on fitness-related traits in heterogeneous environments [25][26][27][28][29], which promote within-population phenotypic variation, phenotypic plasticity has also been seen to be enhanced in environments with higher levels of ecological heterogeneity [30][31][32]. In addition, environmental maternal effects may also provide transgenerational adaptive plasticity in plants [33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…Phenotypic plasticity can be advantageous under some conditions and disadvantageous or not advantageous under others (Alpert & Simms, 2002). Thus, populations living in contrasting environments may express diverging plasticity patterns, triggering extensive genetic variation in plasticity within plant species (Matesanz et al ., 2019; de la Mata et al ., 2022). Accounting for this among‐population differentiation in plasticity may be crucial to accurately forecast the impact of global change on plant species (Patsiou et al ., 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Adaptation to local climate conditions has been considered typical for tree populations (Kitzmiller, 2005 ; Langlet, 1971 ; Wright, 2007 ; Ying & Liang, 1994 ), but organisms with such long generation times and a sessile lifestyle can become maladapted if environmental shifts rapidly occur (Aitken et al., 2008 ; Alberto et al., 2013 ; Benomar et al., 2022 ; Frank et al., 2017 ; Gougherty et al., 2021 ). Plants also exhibit plastic changes in their growth form and physiology in response to stress, and the level of plasticity can itself be heritable (Auld et al., 2010 ; de la Mata et al., 2022 ; Van Kleunen & Fischer, 2005 ; Wu et al., 2023 ; Zeng et al., 2017 ) and may be under the selection (Zettlemoyer & Peterson, 2021 ). Understanding the distribution of genetic variation related to environmental responses may help us better predict changes and manage forests in a shifting climate (Leites & Benito Garzón, 2023 ; Neale & Kremer, 2011 ; Oney et al., 2013 ; Razgour et al., 2019 ).…”
Section: Introductionmentioning
confidence: 99%