Evidence map›Paper›PMID 40877939›Full record

ArticleGenome biology2025

Integrated phenomic and genomic analyses unveil modes of altered phenotypic plasticity during wheat improvement.

Linqian Han, Xiaoming Wang, Ryan Benke, Laura E Tibbs-Cortes, Peng Zhao, Karen A Sanguinet, Zhiwu Zhang, Shengbao Xu, Jianming Yu, Xianran Li

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

10 authors.

Linqian Han *Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA.
Xiaoming Wang *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Ryan BenkeUSDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, WA, 99164, USA.
Laura E Tibbs-CortesUSDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, WA, 99164, USA.
Peng ZhaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Karen A SanguinetDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA.
Shengbao XuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Jianming YuDepartment of Agronomy, Iowa State University, Ames, IA, 50011, USA. jmyu@iastate.edu.
Xianran LiDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA. xianran.li@usda.gov.

Funding

Agricultural Research Service 2090-21000-039-00DNational Institute of Food and Agriculture 2020-67021-32460National Institute of Food and Agriculture 2021-67013-33833National Key Research and Development Program of China 2023YFF1001204
6 · The paper itself

Abstract

backgroundWheat has a critical role in global food security. During the improvement of wheat from landraces to cultivars, a suite of traits has been modified for higher yields. However, changing patterns of wheat in response to different environmental conditions, or phenotypic plasticity, during this improvement remain to be elucidated.

resultsWe measure 17 agronomic traits for 406 wheat accessions consisting of landraces and cultivars in 10 environments. Analyses reveal varied contributions from genotype and environment to phenotypic variation across the evaluated traits. Using environmental indices identified by Critical Environmental Regressor through Informed Search (CERIS), we model the phenotypic values across environments of each accession with two reaction-norm parameters (intercept and slope). Genome Wide Association Studies (GWAS) identify loci significantly associated with variation in the two parameters, including Ppd-D1 and two Green Revolution genes (Rht-D1 and Rht-B1). Compared with the corresponding wild-type allele, Rht-D1b alters intercept and slope of more traits than Rht-B1b. Among nine possible modes of phenotypic plasticity change from landraces to cultivars, three predominant modes account for 88% of evaluated traits. Generally, two reaction-norm parameters decrease simultaneously for plant architecture traits but increase simultaneously for yield component traits.

conclusionsWe systematically evaluate phenome-wide wheat phenotypic plasticity. Two reaction-norm parameters based on specific environmental indices capture varied degrees of phenotypic plasticity for each trait across wheat accessions. Two Green Revolution genes have different effect spectra in altering phenome-wide phenotypic plasticity. By incorporating the evolutionary dimension, we reveal dominant modes of phenotypic plasticity change during wheat improvement.

Indexed as

PhenomicsTriticumGenome, PlantGenome-Wide Association StudyGenomicsGenotypePhenotypePlant BreedingQuantitative Trait LociEnvironmental indexGenomic predictionGWASPhenotypic plasticityPleiotropic effectReaction-norm parametersRht-B1Rht-D1Wheat improvement

Identifiers

PMID40877939
PMCPMC12392622

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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.