Nature GeneticsGenomicsPeer-reviewed journal article
Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize
Julia EngelhorniD, Samantha J. SnodgrassiD, Amelie KokiD, Arun Somwarpet SeetharamiD, Michael C. SchneideriD, Tatjana Kiwit, Ayush SinghiD, Michael BanfiD, Duong Thi Hai DoaniD, Merritt Khaipho-BurchiD, Daniel E. RuncieiD, Víctor A. Sánchez-CamargoiD, Rechien BaderiD, J. Vladimir Torres‐RodrígueziD, Guangchao SuniD, Maike E. StamiD, Fabio FioraniiD, Sebastian BeieriD, James C. SchnableiD, Hank W. BassiD, Matthew B. HuffordiD, Benjamin StichiD, Wolf Bernd FrommeriD, Jeffrey Ross‐IbarraiD, Thomas HartwigiD
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 two-hundred thousand genetic variants (termed binding-QTL) linked to cis-element occupancy. Three lines of evidence support the functional significance of binding-QTL: i) they coincide with numerous known causative loci that regulate traits, including VGT1, Trehalase1, and the MITE transposon near ZmNAC111 under drought; ii) their footprint bias is mirrored between inbred parents and by ChIP-seq; iii) partitioning genetic variation across genomic regions demonstrates that binding-QTL capture the majority of heritable trait variation across [~]70% of 143 phenotypes. Our study provides a promising approach to make previously hidden cis-variation more accessible for genetic studies and multi-target engineering of complex traits.
- organism: zebrafish
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 39
- FWCI
- 22.76
- Field percentile
- top 1%
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