Arielle Fogel

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Teaching Assistant

Duke University
Country flagUnited States

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About

Arielle Fogel is a Teaching Assistant at Duke University in the United States. Her research areas include primate behavior, genetics, and ecology, with a focus on social behavior, inbreeding avoidance, and the impact of genetic ancestry in wild populations. Recent articles by Fogel explore determinants of infant social behavior, fetal loss prediction, and competitive landscapes in animal societies.

Recent Grants

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Equids on the edge: demographic and behavioral processes shaping the genomes of declining zebra species

Open Date: 2024-01-01

Close Date: 2024-12-01

Grant: Close

Developing an endangered equid as an integrative model for understanding species persistence and extinction

Open Date: 2023-01-01

Close Date: 2025-01-01

Grant: Close

Doctoral Dissertation Research: The phenotypic consequences of adaptive introgression in naturally hybridizing primates

Open Date: 2020-08-15

Close Date: 2022-07-31

Grant: Close

Ecological costs of admixture in wild baboons

Open Date: 2018-01-01

Close Date: 2018-01-01

Grant: Close

Ecological costs of admixture in baboons

Open Date: 2018-01-01

Close Date: 2018-01-01

Articles (6)

Objectives Pregnancy failure represents a major fitness cost for any mammal, particularly those with slow life histories such as primates. Here, we quantified the risk of fetal loss in wild hybrid baboons, including genetic, ecological, and demographic sources of variance. We were particularly interested in testing the hypothesis that hybridization increases fetal loss rates. Such an effect would help explain how baboons may maintain genetic and phenotypic integrity despite interspecific gene flow. Materials and Methods We analyzed outcomes for 1020 pregnancies observed over 46 years in a natural yellow baboon‐anubis baboon hybrid zone. Fetal losses and live births were scored based on records of female reproductive state and the appearance of live neonates. We modeled the probability of fetal loss as a function of a female's genetic ancestry (the proportion of her genome estimated to be descended from anubis [vs. yellow] ancestors), age, number of previous fetal losses, dominance rank, group size, climate, and habitat quality using binomial mixed effects models. Results Female genetic ancestry did not predict fetal loss. Instead, the risk of fetal loss is elevated for very young and very old females. Fetal loss is most robustly predicted by ecological factors, including poor habitat quality prior to a home range shift and extreme heat during pregnancy. Discussion Our results suggest that gene flow between yellow and anubis baboons is not impeded by an increased risk of fetal loss for hybrid females. Instead, ecological conditions and female age are key determinants of this component of female reproductive success.

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (6)

Jeff Wall

University of California

UNITED STATES
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Jenny Tung

-

UNITED STATES
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Tawni Voyles

Duke University

UNITED STATES
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Susan Alberts

Professor

Duke University

UNITED STATES
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Elizabeth Lange

Assistant Professor

State University of New York at Oswego

UNITED STATES
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Elizabeth Archie

Professor

University of Notre Dame

UNITED STATES
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