2020
DOI: 10.1111/1365-2435.13704
|View full text |Cite
|
Sign up to set email alerts
|

Environmental predictability drives adaptive within‐ and transgenerational plasticity of heat tolerance across life stages and climatic regions

Abstract: Although environmental variability and predictability have been proposed as the underlying ecological context in which transgenerational plasticity (TGP) arises, the adaptive significance and interaction with within‐generation plasticity (WGP) in such scenarios is still poorly understood. To investigate these questions, we considered the tolerance to upper thermal limits of larvae and adults of the desert endemic Drosophila mojavensis adapted to different climatic regions (Desert vs. Mediterranean climate). T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
16
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 19 publications
(17 citation statements)
references
References 93 publications
(162 reference statements)
1
16
0
Order By: Relevance
“…Since in our study animals were kept in identical conditions, external cues such as photoperiod (Sanabria and Quiroga 2011) can be ruled out as triggers of anticipatory mechanisms. Then, the observed difference in survival between autumn (Ap) and spring (S) cohorts is compatible with a scenario of TGP (Fox and Mousseau 1998, Richter-Boix et al 2014, Yin et al 2019, in which the breeding phenology of parents precondition their offspring thermal physiology and, thus, survival probability given their environment (Putnam and Gates 2015, Sun et al 2018, Diaz et al 2020.…”
Section: Discussionsupporting
confidence: 65%
See 1 more Smart Citation
“…Since in our study animals were kept in identical conditions, external cues such as photoperiod (Sanabria and Quiroga 2011) can be ruled out as triggers of anticipatory mechanisms. Then, the observed difference in survival between autumn (Ap) and spring (S) cohorts is compatible with a scenario of TGP (Fox and Mousseau 1998, Richter-Boix et al 2014, Yin et al 2019, in which the breeding phenology of parents precondition their offspring thermal physiology and, thus, survival probability given their environment (Putnam and Gates 2015, Sun et al 2018, Diaz et al 2020.…”
Section: Discussionsupporting
confidence: 65%
“…Anticipatory TGP has been shown to increase the survival probability of offspring in a wide range of organisms, form invertebrate to vertebrate ectotherms (Rosa et al 2012, Chirgwin et al 2018, Diaz et al 2020). Our results suggest that larvae of A. almogavarii may also benefit from TGP, which might act as a link between the environment experienced by parents and the expected thermal conditions of larvae to increase survival.…”
Section: Discussionmentioning
confidence: 99%
“…This study indicates that factors driving the divergence among genotypes are not random but may involve diversifying selective forces associated with local climates. Meanwhile, comparing two Drosophila mojavensis populations revealed that the population from the habitat with higher thermal predictability has greater transgenerational plasticity to heat tolerance (Diaz et al 2020). Nevertheless, such comparative and correlative studies on the natural variation of transgenerational plasticity are still rare.…”
Section: Introductionmentioning
confidence: 99%
“…When parents can predict the offspring conditions based on the prevailing environmental information, adaptive TGP can enhance offspring fitness (Burgess and Marshall 2014, Bonduriansky 2021). However, environmental predictability is scarcely quantified despite being a core pre-requisite for the evolution of adaptive TGP, especially in non-model organisms (but see Burgess and Marshall 2011, Shama 2015, Halali et al 2021, Diaz et al 2021). Experimental evolution studies on species with short generation times have explicitly shown that adaptive TGP readily evolves when selection lines are maintained in a temporally autocorrelated environment (e.g.…”
Section: Discussionmentioning
confidence: 99%