Author

J. H. Peniston

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· 3 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Organism:multiple species· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. N. Zipple· 2 shared A. C. Payton· 1 shared A. Lipzen· 1 shared C. Daum· 1 shared D. Bauer· 1 shared H. K. Reeve· 1 shared J. Grimwood· 1 shared J. Jenkins· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEvolutionary Biology

M. N. Zipple

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Author profile →

4 papers

Recent·Most cited

Maternal Care Leads to the Evolution of Long, Slow Lives

M. N. Zipple, H. K. Reeve, J. H. Peniston

This paper models how maternal care influences the evolution of long, slow life histories in mammals.

bioRxiv · Jan 5, 2024Evolutionary Biology

Larval and adult traits coevolve in response to coastal oceanography to shape marine dispersal kernels

J. H. Peniston, S. C. Burgess

The paper models how coastal ocean currents influence the evolution of larval and adult traits, leading to different dispersal kernel outcomes.

bioRxiv · Dec 19, 2022 · PreprintEvolutionary Biology

Novel insights into joint estimations of demography, mutation rate, and selection using UV sex chromosomes

S. B. Carey, J. H. Peniston, A. C. Payton, M. Kim, A. Lipzen, D. Bauer, K. Lail, C. Daum, K. Barry, J. Jenkins, J. Grimwood, J. Schmutz, S. F. McDaniel

This study examines how anisogamy influences genetic variation in moss using UV sex chromosomes, finding sex-biased mutation and selection but no model explaining observed diversity ratios.

bioRxiv · Mar 30, 2021 · PreprintEvolutionary Biology

Threshold assessment, categorical perception, and the evolution of reliable signaling

J. H. Peniston, P. A. Green, M. N. Zipple, S. Nowicki

The paper investigates how threshold responses in receivers affect the reliability of assessment signals and shows that receiver threshold variation can rescue reliable signaling.

bioRxiv · May 30, 2020Animal Behavior & Cognition