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Error management theory and the adaptive significance of transgenerational maternal‐stress effects on offspring phenotype

Overview of attention for article published in Ecology and Evolution, June 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Article details
Title
Error management theory and the adaptive significance of transgenerational maternal‐stress effects on offspring phenotype
Published in
Ecology and Evolution, June 2018
DOI 10.1002/ece3.4074
Pubmed ID
Authors
Abstract

It is well established that circulating maternal stress hormones (glucocorticoids, GCs) can alter offspring phenotype. There is also a growing body of empirical work, within ecology and evolution, indicating that maternal GCs link the environment experienced by the mother during gestation with changes in offspring phenotype. These changes are considered to be adaptive if the maternal environment matches the offspring's environment and maladaptive if it does not. While these ideas are conceptually sound, we lack a testable framework that can be used to investigate the fitness costs and benefits of altered offspring phenotypes across relevant future environments. We present error management theory as the foundation for a framework that can be used to assess the adaptive potential of maternal stress hormones on offspring phenotype across relevant postnatal scenarios. To encourage rigorous testing of our framework, we provide field-testable hypotheses regarding the potential adaptive role of maternal stress across a diverse array of taxa and life histories, as well as suggestions regarding how our framework might provide insight into past, present, and future research. This perspective provides an informed lens through which to design and interpret experiments on the effects of maternal stress, provides a framework for predicting and testing variation in maternal stress across and within taxa, and also highlights how rapid environmental change that induces maternal stress may lead to evolutionary traps.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Student > Master 16 23%
Researcher 11 15%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 7 10%
Unknown 14 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 29 41%
Environmental Science 6 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Business, Management and Accounting 2 3%
Immunology and Microbiology 2 3%
Other 5 7%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2022.
All research outputs
#9,468,780
of 34,436,843 outputs
Outputs from Ecology and Evolution
#3,819
of 11,159 outputs
Outputs of similar age
#115,973
of 374,096 outputs
Outputs of similar age from Ecology and Evolution
#75
of 217 outputs
Altmetric has tracked 34,436,843 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 374,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.