Evidence map›Paper›PMID 41365331›Full record

ArticleMolecular biology and evolution2026

Widespread turnover of a conserved cis-regulatory code across 589 grass species.

Charles O Hale, Sheng-Kai Hsu, Jingjing Zhai, Aimee Schulz, Taylor Aubuchon-Elder, Germano Costa-Neto, Allen Gelfond, Mohamed Z El-Walid, Matthew Hufford, Elizabeth A Kellogg and 8 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2026. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

  1. Article
  2. Review
  3. Article
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

18 authors.

Charles O HaleSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0001-8119-5273
Sheng-Kai HsuInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0002-6942-7163
Jingjing ZhaiInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0002-1535-3103
Aimee SchulzSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0002-3709-9898
Taylor Aubuchon-ElderDonald Danforth Plant Science Center, St. Louis, MO 63132  USA.ORCID 0000-0002-0051-8403
Germano Costa-NetoInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0003-1137-6786
Allen GelfondSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0009-0002-1797-1797
Mohamed Z El-WalidSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0001-7030-8017
Matthew HuffordDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011  USA.ORCID 0000-0003-3945-1143
Elizabeth A KelloggDonald Danforth Plant Science Center, St. Louis, MO 63132  USA.ORCID 0000-0003-1671-7447
Thuy LaInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0009-0003-4585-005X
Alexandre P MarandDepartment of Genetics, University of Michigan, Ann Arbor, MI 48109  USA.ORCID 0000-0001-9100-8320
Arun S SeetharamDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011  USA.ORCID 0000-0002-6789-9298
Armin SchebenSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724  USA.ORCID 0000-0002-2230-2013
Michelle C StitzerInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0003-4140-3765
Travis WrightsmanSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0002-0904-6473
Maria Cinta RomayInstitute for Genomic Diversity, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0001-9309-1586
Edward S BucklerSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853  USA.ORCID 0000-0002-3100-371X

Funding

Exploration of cis-regulatory diversity underlying phenotypic innovationR00GM144742 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARAND, ALEXANDRE · 2023 to 2025
$747k
Agricultural Research Service 0201-88888-002-000DAgricultural Research Service 0201-88888-003-000DAgricultural Research Service 8062-21000-052-000-DBioinformatics Facility RRID:SCR_021757Cornell Institute of BiotechnologyNIGMS NIH HHS R00 GM144742NIH NIGMS 1R00GM144742NSF GRFP DGE 2139899NSF PanAnd Grant #1822330NSF PRFB 1907343SCINetUSDA-ARS Project 8062-21000-052-004-A
6 · The paper itself

Abstract

The growing availability of genomes from non-model organisms offers new opportunities to identify functional loci underlying trait variation through comparative genomics. While cis-regulatory regions drive much of phenotypic evolution, linking them to specific functions remains challenging. We identified 514 cis-regulatory motifs enriched in regulatory regions of five diverse grass species, with 73% consistently enriched across all, suggesting a deeply conserved regulatory code. Leveraging 57 new contig-level genome assemblies, we then quantified shared occupancy of specific motif instances within gene-proximal regions across 589 grass species, revealing widespread gain and loss over evolutionary time. Shared occupancy declined rapidly over the first few million years of divergence, yet ∼50% of motif instances were shared back to the origin of grasses ∼100 million years ago. We used phylogenetic mixed models to identify motif gains and losses associated with ecological niche transitions. Our models revealed significant environmental associations across 1282 motif-orthogroup combinations, including convergent gains of HSF/GARP motifs at an alpha-N-acetylglucosaminidase gene associated with occurrence in temperate environments. Our findings support a "stable motifs, variable binding sites" model in which cis-regulatory evolution involves turnover of thousands of individual binding site instances while largely preserving transcription factors' binding preferences. Our results highlight the potential of comparative genomics and phylogenetic mixed models to reveal the genetic basis of complex traits.

Indexed as

PoaceaeRegulatory Sequences, Nucleic AcidConserved SequenceEvolution, MolecularGenome, PlantNucleotide MotifsPhylogenycis-regulationcomparative genomicsplantsregulatory evolution

Identifiers

PMID41365331
PMCPMC12819352

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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.