Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize

Comprehensive maps of functional variation at transcription factor (TF) binding sites (cis-elements) are crucial for elucidating how genotype shapes phenotype. Here, we report the construction of a pan-cistrome of the maize leaf under well-watered and drought conditions. We quantified haplotype-specific TF footprints across a pan-genome of 25 maize hybrids and mapped over 200,000 variants, genetic, epigenetic, or both (termed binding quantitative trait loci (bQTL)), linked to cis-element occupancy. Three lines of evidence support the functional significance of bQTL: (1) coincidence with causative loci that regulate traits, including vgt1, ZmTRE1 and the MITE transposon near ZmNAC111 under drought; (2) bQTL allelic bias is shared between inbred parents and matches chromatin immunoprecipitation sequencing results; and (3) partitioning genetic variation across genomic regions demonstrates that bQTL capture the majority of heritable trait variation across ~72% of 143 phenotypes. Our study provides an auspicious approach to make functional cis-variation accessible at scale for genetic studies and targeted engineering of complex traits.

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Publication Details

Journal
Nature Genetics
Published
2025-08-11
DOI
https://doi.org/10.1038/s41588-025-02246-7
Citations
8
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
14.54

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article

Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize

Víctor A. Sánchez-Camargo, Matthew B. Hufford, Arun S. Seetharam, Sebastian Beier et al.
8 citations
Nature Genetics
Genetic Mapping and Diversity in Plants and Animals
14.54
article

Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize

Víctor A. Sánchez-Camargo, Matthew B. Hufford, Arun S. Seetharam, Sebastian Beier, Fabio Fiorani, Michael Banf, Hank W. Bass, Julia Engelhorn, Samantha J. Snodgrass, Maike Stam, Duong Doan, James C. Schnable, Merritt Khaipho-Burch, Thomas Hartwig, J. Vladimir Torres‐Rodríguez, Rechien Bader, Wolf Bernd Frommer, Daniel E. Runcie, Michael Schneider, Jeffrey Ross‐Ibarra, Benjamin Stich, Guangchao Sun, Tatjana Kiwit, Ayush Singh, Amelie Kok
article en
8 citations

Abstract

Comprehensive maps of functional variation at transcription factor (TF) binding sites (cis-elements) are crucial for elucidating how genotype shapes phenotype. Here, we report the construction of a pan-cistrome of the maize leaf under well-watered and drought conditions. We quantified haplotype-specific TF footprints across a pan-genome of 25 maize hybrids and mapped over 200,000 variants, genetic, epigenetic, or both (termed binding quantitative trait loci (bQTL)), linked to cis-element occupancy. Three lines of evidence support the functional significance of bQTL: (1) coincidence with causative loci that regulate traits, including vgt1, ZmTRE1 and the MITE transposon near ZmNAC111 under drought; (2) bQTL allelic bias is shared between inbred parents and matches chromatin immunoprecipitation sequencing results; and (3) partitioning genetic variation across genomic regions demonstrates that bQTL capture the majority of heritable trait variation across ~72% of 143 phenotypes. Our study provides an auspicious approach to make functional cis-variation accessible at scale for genetic studies and targeted engineering of complex traits.

Nature GeneticsVol. 57(9)
Florida State University (US), University of Nebraska–Lincoln (US), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Julius Kühn-Institut (DE), Forschungszentrum Jülich (DE), Iowa State University (US), Université de Montpellier (FR), Cornell University (US), Sichuan Agricultural University (CN), Diversité, adaptation et développement des plantes (FR), Cluster of Excellence on Plant Sciences (DE), Max Planck Institute for Plant Breeding Research (DE), Institut de Recherche pour le Développement (FR), Heinrich Heine University Düsseldorf (DE), Nagoya University (JP), University of California, Davis (US), University of Amsterdam (NL)
National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Horizon 2020 Framework Programme
Clean water and sanitation
Openalex Percentile: Top 1%
Genetic Mapping and Diversity in Plants and Animals
14.54
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