Evidence map›Paper›PMID 38745122›Full record

ArticleBMC genomics2024

Natural variations of heterosis-related allele-specific expression genes in promoter regions lead to allele-specific expression in maize.

Weimin Zhan, Lianhua Cui, Shuling Yang, Kangni Zhang, Yanpei Zhang, Jianping Yang

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Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weimin Zhan *College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Lianhua Cui *College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Shuling YangCollege of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Kangni ZhangCollege of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Yanpei ZhangCollege of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China. zhangyanpei@henau.edu.cn.
Jianping YangCollege of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China. jpyang@henau.edu.cn.

Funding

Henan Province Joint Fund for Science and Technology Research 232103810006Lhasa Regional Science and Technology Collaborative Innovation Project in 2022 QYXTZX-LS2022-01the Major Science and Technology Project of the Science and Technology of the Xizang Autonomous Region XZKJT202405the National Natural Science Foundation of China 31871709the Startup Grant of Henan Agricultural University 30500823
6 · The paper itself

Abstract

backgroundHeterosis has successfully enhanced maize productivity and quality. Although significant progress has been made in delineating the genetic basis of heterosis, the molecular mechanisms underlying its genetic components remain less explored. Allele-specific expression (ASE), the imbalanced expression between two parental alleles in hybrids, is increasingly being recognized as a factor contributing to heterosis. ASE is a complex process regulated by both epigenetic and genetic variations in response to developmental and environmental conditions.

resultsIn this study, we explored the differential characteristics of ASE by analyzing the transcriptome data of two maize hybrids and their parents under four light conditions. On the basis of allele expression patterns in different hybrids under various conditions, ASE genes were divided into three categories: bias-consistent genes involved in basal metabolic processes in a functionally complementary manner, bias-reversal genes adapting to the light environment, and bias-specific genes maintaining cell homeostasis. We observed that 758 ASE genes (ASEGs) were significantly overlapped with heterosis quantitative trait loci (QTLs), and high-frequency variations in the promoter regions of heterosis-related ASEGs were identified between parents. In addition, 10 heterosis-related ASEGs participating in yield heterosis were selected during domestication.

conclusionsThe comprehensive analysis of ASEGs offers a distinctive perspective on how light quality influences gene expression patterns and gene-environment interactions, with implications for the identification of heterosis-related ASEGs to enhance maize yield.

Indexed as

AllelesGene Expression Regulation, PlantHybrid VigorPromoter Regions, GeneticQuantitative Trait LociZea maysGene Expression ProfilingGenetic VariationTranscriptomeAllele-specific expressionDomesticationHeterosisMaizePromoter variation

Identifiers

PMID38745122
PMCPMC11092226

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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.