Evidence map›Paper›PMID 36342220›Full record

ReviewThe Plant cell2023

Gene-by-environment interactions in plants: Molecular mechanisms, environmental drivers, and adaptive plasticity.

Joseph D Napier, Robert W Heckman, Thomas E Juenger

Abstract readReview
In one paragraph

Review in The Plant cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
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

49 citing papers in PubMed.

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  8. Association of genetic risk and physical activity with incident type 2 diabetes.The Journal of clinical endocrinology and metabolism · 2026
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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

3 authors.

Joseph D NapierDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA.ORCID 0000-0002-8557-5086
Robert W HeckmanDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA.ORCID 0000-0002-2281-3091
Thomas E JuengerDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA.ORCID 0000-0001-9550-9288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants demonstrate a broad range of responses to environmental shifts. One of the most remarkable responses is plasticity, which is the ability of a single plant genotype to produce different phenotypes in response to environmental stimuli. As with all traits, the ability of plasticity to evolve depends on the presence of underlying genetic diversity within a population. A common approach for evaluating the role of genetic variation in driving differences in plasticity has been to study genotype-by-environment interactions (G × E). G × E occurs when genotypes produce different phenotypic trait values in response to different environments. In this review, we highlight progress and promising methods for identifying the key environmental and genetic drivers of G × E. Specifically, methodological advances in using algorithmic and multivariate approaches to understand key environmental drivers combined with new genomic innovations can greatly increase our understanding about molecular responses to environmental stimuli. These developing approaches can be applied to proliferating common garden networks that capture broad natural environmental gradients to unravel the underlying mechanisms of G × E. An increased understanding of G × E can be used to enhance the resilience and productivity of agronomic systems.

Indexed as

Adaptation, PhysiologicalGene-Environment InteractionGenetic VariationGenotypePhenotypePlants

Identifiers

PMID36342220
PMCPMC9806611

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.