Research

The Monroe Lab is driven by questions, not by any single organism. We are motivated by emerging biological discoveries now made possible by modern genomics — unexpected phenomena like dramatic variation in mutation rates, unusual chromosome biology, massive repetitive sequences, segregation distortion, and other genomic oddities that we finally have the tools to explain.

We began our work using Arabidopsis thaliana as a model system for understanding DNA repair biology and mutation. Modern sequencing now lets us scale these questions across a growing diversity of plant systems. We have active projects in:

Arabidopsis thaliana · cassava (Manihot esculenta) · pistachio (Pistacia vera) · walnut (Juglans regia) · diploid wheat (Triticum monococcum) · rice (Oryza sativa) · celery (Apium graveolens) · alfalfa (Medicago sativa) · almonds (Prunus dulcis) · black cottonwood (Populus trichocarpa)

We are entering an era where genomics can answer genuinely surprising questions about genome evolution and variation. We follow the science wherever it leads — including into some unexpected corners of genome biology.


Mutation Biology and Rate Variation

Mutations are the ultimate source of all genetic variation, yet mutation rates vary orders of magnitude across the genome, among cell types, and across species. We use ultra-accurate sequencing technologies — including Duplex Sequencing — to characterize mutation rates and spectra at unprecedented resolution. A central question is why mutation rates are systematically lower in functionally important regions of the genome, and what molecular mechanisms underlie this pattern.

Mutation rates around gene bodies and in essential genes
Mutation probability, observed de novo mutations, polymorphisms, and Tajima’s D around transcription start and termination sites, and lower mutation rates in essential genes. From Monroe et al. 2022 Nature.

Current projects include:

  • Epigenome-recruited DNA repair and mutation rate reduction in plants

  • Somatic mutation dynamics and deleterious variation in clonal walnut and pistachio cultivars

  • Mutation bias and natural selection in Arabidopsis thaliana

  • Mechanisms of mutation rate variation across the plant kingdom

Chromatin Regulation and DNA Repair

A key discovery from the lab is that the histone mark H3K4me1 directly recruits DNA repair proteins in plants, providing a mechanistic explanation for why mutation rates are lower in gene-rich, H3K4me-enriched regions of the genome. We are extending this work to understand how chromatin-targeted DNA repair has evolved independently across the tree of life and how these mechanisms shape the landscape of genetic variation within and among species.

Convergent evolution of MSH6 histone reader domains across eukaryotes
Taxonomic distribution of MSH6 histone reader domains (Tudor in orange, PWWP in green) across eukaryotes, showing convergent evolution of epigenome-recruited DNA repair. From Monroe et al. 2024 bioRxiv.

Current projects include:

  • H3K4me-associated hypomutation in plants

  • Convergent evolution of epigenome-recruited DNA repair across the tree of life

  • Chromatin features predicting intron architecture and mutation rates

Genome Dynamics and Structural Variation

Plants harbor extraordinary structural variation — inversions, transposable elements, copy number variants, and pan-genome loci present in some individuals but absent in others. We use long-read sequencing and comparative genomics to characterize this variation and understand how it contributes to phenotypic diversity, reproductive biology, and local adaptation across plant populations and species.

Genomic instability in walnut somatic embryo clones
Chromosomal instability in clonal walnut somatic embryos — whole chromosome duplications, partial deletions, somatic recombination events, and their effects on gene expression. From Davis et al. 2025 bioRxiv.

Current projects include:

  • Pistachio pan-genome and multi-genome reference

  • Comparative genomics of repeat-rich and structurally complex plant genomes

  • Segregation distortion and unusual chromosome biology in alfalfa and other polyploids

Functional GWAS and Loss-of-Function Burden Testing

We leverage natural loss-of-function alleles to infer gene function at population scale — an approach we call functional GWAS or loss-of-function burden testing. By identifying which genes, when disrupted, produce detectable phenotypic effects across individuals, we can discover gene functions systematically and without prior functional annotation. This scales to any species with population-level genomic data and provides direct targets for breeding, gene editing, and understanding evolution.

This work builds on our foundational studies of adaptive loss-of-function in plants and extends them into crop systems where understanding which genes matter — and how — has direct practical value.

Random forest model predicting gene dispensability from LoF and epigenomic features
Random forest prediction of pan-genome gene dispensability using loss-of-function frequency and epigenomic features (AUC = 0.854), with H3K4me1 and LoF frequency among the top predictors. From Zhao et al. 2025 bioRxiv.

Current projects include:

  • Loss-of-function burden testing in cassava (Manihot esculenta) landraces

  • Loss-of-function variation in diploid wheat (Triticum monococcum)

  • Scalable frameworks for functional gene discovery across crop species

Applied Genomics and Crop Improvement

Many of the world’s crop species remain genomically understudied. We build genomic resources — reference genomes, pan-genomes, population-scale sequencing datasets — for these species and use them to study the genetic basis of agriculturally important traits, climate adaptation, and fundamental questions about genome evolution.

Species we have worked with include pistachio (Pistacia vera), walnut (Juglans regia), cassava (Manihot esculenta), celery (Apium graveolens), diploid wheat (Triticum monococcum), rice (Oryza sativa), alfalfa (Medicago sativa), almonds (Prunus dulcis), and black cottonwood (Populus trichocarpa). Projects range from understanding mutation histories of clonal cultivars to assembling reference genomes for breeding and fundamental science.

Pistachio nut development across four stages
Pistachio (Pistacia vera cv. ‘Kerman’) nut and kernel development across four phenological stages, with growth, color, firmness, and fat content measured across growing degree days. From Adaskaveg et al. 2025 New Phytologist.

Current projects include:

  • Pistachio pan-genome, reference genome, and kernel development

  • Cassava population genomics and climate adaptation in Colombian landraces

  • Climate adaptation and somatic mutation in Populus trichocarpa

  • Genome assembly and annotation for celery, wheat, and other crop species


Our work is supported by:

  • National Science Foundation
  • USDA
  • California Pistachio Research Board
  • Foundation for Food and Agricultural Research
  • Gates Foundation
  • Human Frontier Science Program
  • UC Davis Department of Plant Sciences
  • UC Davis Venture Catalyst