Evidence map›Paper›PMID 23612691›Full record

ReviewHeredity2014

The evolution of quantitative traits in complex environments.

J T Anderson, M R Wagner, C A Rushworth, K V S K Prasad, T Mitchell-Olds

Open access · bronzeAbstract readReview
In one paragraph

Review in Heredity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 141 citations in OpenAlex.

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  8. Assessing the role of family level variation and heat shock gene expression in the thermal stress response of the mosquitoPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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  19. Large-scale replicated field study of maize rhizosphere identifies heritable microbes.Proceedings of the National Academy of Sciences of the United States of America · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

J T AndersonDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA.
M R Wagner
C A Rushworth
K V S K Prasad
T Mitchell-Olds
Duke University · USUniversity of South Carolina · US

Funding

Genetics Training Grant-Year 26T32GM007754 · NIGMS · DUKE UNIVERSITY · PI HAASE, STEVEN B · 1985 to 2019
$8.3M
Molecular Causes and Fitness Consequences of Complex Trait VariationR01GM086496 · NIGMS · DUKE UNIVERSITY · PI MITCHELL-OLDS, STORRS THOMAS · 2008 to 2017
$2.7M
NIGMS NIH HHS 5T32GM007754-32NIGMS NIH HHS R01 GM086496NIGMS NIH HHS T32 GM007754
6 · The paper itself

Abstract

Species inhabit complex environments and respond to selection imposed by numerous abiotic and biotic conditions that vary in both space and time. Environmental heterogeneity strongly influences trait evolution and patterns of adaptive population differentiation. For example, heterogeneity can favor local adaptation, or can promote the evolution of plastic genotypes that alter their phenotypes based on the conditions they encounter. Different abiotic and biotic agents of selection can act synergistically to either accelerate or constrain trait evolution. The environmental context has profound effects on quantitative genetic parameters. For instance, heritabilities measured in controlled conditions often exceed those measured in the field; thus, laboratory experiments could overestimate the potential for a population to respond to selection. Nevertheless, most studies of the genetic basis of ecologically relevant traits are conducted in simplified laboratory environments, which do not reflect the complexity of nature. Here, we advocate for manipulative field experiments in the native ranges of plant species that differ in mating system, life-history strategy and growth form. Field studies are vital to evaluate the roles of disparate agents of selection, to elucidate the targets of selection and to develop a nuanced perspective on the evolution of quantitative traits. Quantitative genetics field studies will also shed light on the potential for natural populations to adapt to novel climates in highly fragmented landscapes. Drawing from our experience with the ecological model system Boechera (Brassicaceae), we discuss advancements possible through dedicated field studies, highlight future research directions and examine the challenges associated with field studies.

Indexed as

Gene-Environment InteractionBrassicaceaeEnvironmentEvolution, MolecularGenetic HeterogeneityPhenotypeQuantitative Trait LociSelection, Genetic

Identifiers

PMID23612691
PMCPMC3860162
OpenAlexW1972627485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.