Susan C. Alberts
· Robert F. Durden Distinguished Professor of BiologyVerifiedDuke University · Biology
Active 1987–2026
About
Susan C. Alberts is the Robert F. Durden Distinguished Professor of Biology at Duke University, where she has held the position since 2015. Her research investigates the evolution of social behavior, particularly in mammals, with a focus on the social behavior, demography, life history, and behavioral endocrinology of wild primates. Her main study system is the baboon population in Amboseli, Kenya, which is one of the longest-running studies of wild primates in the world, ongoing since 1971. Alberts' work aims to understand the social structures and interactions that influence animal behavior and health, contributing to broader insights into primate and human social evolution.
Research topics
- Ecology
- Biology
- Genetics
- Demography
- Zoology
- Evolutionary biology
- Mathematics
- Environmental science
- Statistics
- Geography
- Psychology
Selected publications
Figshare · 2026-02-27
articleOpen accessAdditional file 2: Supplementary Methods. Fig. S1. Properties of the Amboseli baboon RRBS data set. Fig. S2. Mutations that disrupt the CpG site help explain ancestry-associated methylation levels. Fig. S3. Signal for ancestry effects on DNA methylation in Amboseli. Fig. S4. Differences in DNA methylation between anubis and yellow baboons, sampled outside of the hybrid zone. Fig. S5. Change in allele frequency depends on the unadmixed minor allele frequency. Fig. S6: Enrichment of ancestry-associated methylation by genomic context.
Longitudinal changes in gut microbiota across reproductive states in wild baboons
Research Square · 2026-01-27
preprintOpen accessFigshare · 2026-02-27
datasetOpen accessAdditional file 1: Table S1. Amboseli baboons and accompanying metadata. Table S2. CpG sites with ancestry-associated DNA methylation. Table S3. CpG sites that exhibit ancestry-associated DNA methylation, lie in or near genes with ancestry-associated gene expression, and fall within windows with methylation-dependent regulatory activity in mSTARR-seq.
Figshare · 2026-02-27
articleOpen accessAdditional file 2: Supplementary Methods. Fig. S1. Properties of the Amboseli baboon RRBS data set. Fig. S2. Mutations that disrupt the CpG site help explain ancestry-associated methylation levels. Fig. S3. Signal for ancestry effects on DNA methylation in Amboseli. Fig. S4. Differences in DNA methylation between anubis and yellow baboons, sampled outside of the hybrid zone. Fig. S5. Change in allele frequency depends on the unadmixed minor allele frequency. Fig. S6: Enrichment of ancestry-associated methylation by genomic context.
Scientific Data · 2026-03-02 · 1 citations
articleOpen accessLong-term data sets on individually recognized animals and their environments are critical to understanding animal behavior, evolution, and ecology. However, they are resource- and time-intensive and seldom made publicly available. The Amboseli Baboon Research Project (ABRP) is one of the longest-running studies of a wild mammal population in the world and has collected extensive data on the baboon population of the Amboseli ecosystem in Kenya since 1971. Here, we describe four ABRP data sets newly available to the evolutionary biology, behavioral ecology, and primatology communities: (1) the sizes and demographic compositions of 21 social groups from 1971-2023; (2) the activity budgets of adult females and immatures from 1984-2023; (3) behavioral data on diet for adult females and immatures from 1984-2023; and (4) weather data, including precipitation from 1976-2023 and temperature from 1976-2022. Data are aggregated annually and monthly to enable cross-data set analyses. These data offer a rare longitudinal perspective on behavioral and ecological change in a wild mammal population.
bioRxiv (Cold Spring Harbor Laboratory) · 2026-04-21
articleOpen accessCardiac rate and rhythm reveal how animals adapt physiologically to day-to-day challenges, with consequences for health and fitness. However, these data remain difficult to collect in wild animals, despite their relevance for individual health and fitness.Here, we present a system for collecting and transmitting long-term, fine-scaled physiological data in wild animals. We implanted Bluetooth-enabled cardiac and physiological monitor devices in three wild adult female baboons in the Amboseli ecosystem in Kenya and paired these devices with collars that enabled remote data downloads over long-range wide area network (LoRaWAN).The system performed well over >10 months, providing the first long-term cardiac data in wild primates. The baboons showed strong circadian patterns in heart rate, heart rate variability, and activity. We also present data on one female who left her social group for unknown reasons; while alone she exhibited higher heart rate variability, lower activity, and evidence of disrupted sleep.In sum, physiologgers paired with low-energy methods of remote data retrieval are powerful tools for investigating physiology in wild animals on timescales that extend over many months, with minimal disruption to their behavior.
Figshare · 2026-02-27
datasetOpen accessAdditional file 1: Table S1. Amboseli baboons and accompanying metadata. Table S2. CpG sites with ancestry-associated DNA methylation. Table S3. CpG sites that exhibit ancestry-associated DNA methylation, lie in or near genes with ancestry-associated gene expression, and fall within windows with methylation-dependent regulatory activity in mSTARR-seq.
2025-05-15
peer-reviewReevaluating the relationship between female sociality and infant survival in wild baboons
Proceedings of the National Academy of Sciences · 2025-05-13 · 4 citations
articleOpen accessSenior authorOver the past few decades, studies have provided strong evidence that the robust links between the social environment, health, and survival found in humans also extend to nonhuman social animals. A number of these studies emphasize the early life origins of these effects. For example, in several social mammals, more socially engaged mothers have infants with higher rates of survival compared to less socially engaged mothers, suggesting that positive maternal social relationships causally improve offspring survival. Here, we show that the relationship between infant survival and maternal sociality is confounded by previously underappreciated variation in female social behavior linked to changes in reproductive state and the presence of a live infant. Using data from a population of wild baboons living in the Amboseli basin of Kenya-a population where high levels of maternal sociality have previously been linked to improved infant survival-we find that infant- and reproductive state-dependent changes in female social behavior drive a statistically significant relationship between maternal sociality and infant survival. After accounting for these state-dependent changes in social behavior, maternal sociality is no longer positively associated with infant survival in this population. Our results emphasize the importance of considering multiple explanatory pathways-including third-variable effects-when studying the social determinants of health in wild populations.
2025-04-22
peer-review
Recent grants
NIH · $79k · 2015
Research Network on Animal Models to Understand Social Dimensions of Aging
NIH · $2.6M · 2020–2030
NIH · $20.8M · 2023
NSF · $21k · 2015–2018
LTREB: Long-term behavioral and genetic analyses of a wild primate population
NSF · $450k · 2009–2015
Frequent coauthors
- 682 shared
Jeanne Altmann
- 301 shared
Jenny Tung
Duke University
- 283 shared
Elizabeth A. Archie
University of Notre Dame
- 89 shared
Laurence R. Gesquiere
- 75 shared
Mercy Y. Akinyi
National Museums of Kenya
- 58 shared
Fernando A. Campos
The University of Texas at San Antonio
- 47 shared
Marie J. E. Charpentier
Institut des Sciences de l'Evolution de Montpellier
- 44 shared
Emmanuel O. Wango
University of Nairobi
Education
- 1992
PhD, Ecology and Evolution
University of Chicago
Awards & honors
- Bass Fellow (2012 - Present)
- International Frontiers of Knowledge Award (2025)
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