Author

K. E. Lotterhos

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Organism:non-human primate· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Downey-Wall· 1 shared A. J. Laruson· 1 shared A. S. Huffmyer· 1 shared B. C. Haller· 1 shared D. A. Proestou· 1 shared D. M. Becker· 1 shared E. Strand· 1 shared E. Witkop· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperPhysiology

A. Downey-Wall

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

DNA methylation correlates with transcriptional noise in response to elevated pCO2 in the eastern oyster (Crassostrea virginica)

Y. R. Venkataraman, A. S. Huffmyer, S. J. White, A. Downey-Wall, J. Ashey, D. M. Becker, Z. Bengtsson, H. M. Putnam, E. Strand, J. A. Rodriguez-Casariego, S. A. Wanamaker, K. E. Lotterhos, S. Roberts

This study examines how DNA methylation and gene expression respond to elevated pCO2 in eastern oysters, finding sex-specific effects on transcriptional noise and gene regulation.

bioRxiv · Apr 4, 2024 · PreprintPhysiology

Nucleotide and structural polymorphisms of the eastern oyster genome paint a mosaic of divergence, selection, and human impacts

J. B. Puritz, H. Zhao, X. Guo, M. P. Hare, Y. He, J. LaPeyre, K. E. Lotterhos, K. M. Lundgren, T. Modak, D. A. Proestou, P. Rawson, J. A. Fernandez Robledo, E. Witkop, K. B. Weedop, M. Gomez-Chiarri

This study analyzes the genome of eastern oysters to reveal genetic diversity, selection pressures, and human impacts across populations.

bioRxiv · Aug 29, 2022 · PreprintEvolutionary Biology

Seeing the Forest for the trees: Assessing genetic offset predictions with Gradient Forest

A. J. Laruson, M. C. Fitzpatrick, S. R. Keller, B. C. Haller, K. E. Lotterhos

This study evaluates Gradient Forest's ability to predict genetic offsets under different genetic and environmental models, finding it correlated with fitness but potentially confounded by other factors.

bioRxiv · Sep 20, 2021 · PreprintEvolutionary Biology