Nonadditive regulation confers phenotypic variation in hybrid maize

Our knowledge of how the parental genomes interact to shape hybrid performance remains limited. This work established four hybrid maize populations and evaluated plant height (PH) in both the parental and hybrid populations, generating an extensive transcriptome and translatome dataset. We conducted a genome-wide association study, expression quantitative trait locus (eQTLs) mapping, transcriptome-wide association mapping (TWAS), and allele-specific expression analysis to elucidate the regulatory mechanisms underlying PH variation in hybrids. QTLs, eQTLs, and TWAS-associated genes (TAGs) exhibited both distinct variations and conserved patterns between the maternal and hybrid populations. The functional route (FR)-following QTLs demonstrated significant nonadditive effects on PH and expression traits. The intergenomic interactions of eQTLs in the heterozygous state drive the nonadditive regulation of eQTL-regulated genes (eGenes), resulting in the transformation of eGenes into TAGs and eQTLs into nonadditive QTLs for PH. This regulatory mechanism is further supported by the nonadditive regulation of phytohormone-related genes. Additionally, nonadditive TAGs and QTLs are implicated in regulating nonadditive translation. This study elucidates how nonadditive QTLs contribute to phenotypic variation in hybrid maize, offering a fresh perspective on the understanding of plant heterosis.

Authors

Institutions

Publication Details

Journal
New Phytologist
Published
2025-02-13
DOI
https://doi.org/10.1111/nph.20453
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
1.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonadditive regulation confers phenotypic variation in hybrid maize

Wanchao Zhu, Junjie Fu, Pingxi Wang, Tao Zhou et al.
1 citations
New Phytologist
Genetic Mapping and Diversity in Plants and Animals
1.82
article

Nonadditive regulation confers phenotypic variation in hybrid maize

Wanchao Zhu, Junjie Fu, Pingxi Wang, Tao Zhou, Hongwei Zhang, Sihan Zhen, Yuting Ma, Juan Li, Riliang Gu, Xuemei Du, Yan Liang, Jie Zhang, Xiaoli Wang, Lin Li, Yangyang Liu
article en
1 citations

Abstract

Our knowledge of how the parental genomes interact to shape hybrid performance remains limited. This work established four hybrid maize populations and evaluated plant height (PH) in both the parental and hybrid populations, generating an extensive transcriptome and translatome dataset. We conducted a genome-wide association study, expression quantitative trait locus (eQTLs) mapping, transcriptome-wide association mapping (TWAS), and allele-specific expression analysis to elucidate the regulatory mechanisms underlying PH variation in hybrids. QTLs, eQTLs, and TWAS-associated genes (TAGs) exhibited both distinct variations and conserved patterns between the maternal and hybrid populations. The functional route (FR)-following QTLs demonstrated significant nonadditive effects on PH and expression traits. The intergenomic interactions of eQTLs in the heterozygous state drive the nonadditive regulation of eQTL-regulated genes (eGenes), resulting in the transformation of eGenes into TAGs and eQTLs into nonadditive QTLs for PH. This regulatory mechanism is further supported by the nonadditive regulation of phytohormone-related genes. Additionally, nonadditive TAGs and QTLs are implicated in regulating nonadditive translation. This study elucidates how nonadditive QTLs contribute to phenotypic variation in hybrid maize, offering a fresh perspective on the understanding of plant heterosis.

New PhytologistVol. 246(2)
Huazhong Agricultural University (CN), Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Institute of Crop Sciences (CN), China Agricultural University (CN)
National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 18%
Genetic Mapping and Diversity in Plants and Animals
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.