Author

Leland C. Graber

Cornell UniversityORCID 0000-0001-7666-2957Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:DNA methylation· 2 Research Focus:phylogenetics / evolution· 2 Organism:multiple species· 1 Organism:plant (other)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Robert A. JohnsoniD· 2 shared Chelsea Dvorak SpechtiD· 1 shared Chloe JelleyiD· 1 shared Corrie Saux MoreauiD· 1 shared Craig D. PerliD· 1 shared Jacob B. LandisiD· 1 shared James F. A. TranielloiD· 1 shared James Haas· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersZoology

Robert A. JohnsonORCID

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Author profile →

3 papers

Recent·Most cited

UCE phylogenomics inform the systematics and geographic range evolution of the harvester ant genus Pogonomyrmex

Leland C. Graber, Robert A. Johnson, Corrie Saux Moreau

This study uses UCE phylogenomics to reconstruct the evolutionary history and geographic spread of Pogonomyrmex harvester ants, finding an early Eocene origin and climate-driven diversification.

Journal of Biogeography · May 1, 2026Peer-reviewedZoology

Evolution of neurometabolic frugality in harvester ants

Craig D. Perl, Zach N Coto, Robert A. Johnson, Meredith G. Johnson, Leland C. Graber, James Haas, Jane S Waters, James F. A. Traniello, Jon Fewell Harrison

This study measures brain metabolic rates in harvester ants to assess the roles of sociality and body size in brain evolution, finding that body size, not sociality, drives neurometabolic frugality.

bioRxiv · Feb 2, 2026 · PreprintZoology

The power to resolve relationships: identifying incongruence and precision of reduced representation and genome-wide data in phylogenomics and population genomics

Joshua M. Felton, Chloe Jelley, Julianna J Harden, Justin Scholten, Leland C. Graber, Michelle Heeney, Yanã Campos Rizzieri, Chelsea Dvorak Specht, Jacob B. Landis

This study compares reduced-representation and genome-wide data in phylogenomics and population genomics, finding that genome-wide data retain more SNPs, show higher heterozygosity, and provide better phylogenetic support.

bioRxiv · Jul 9, 2025 · PreprintEvolutionary Biology