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Wessling EG, Samuni L, Mundry R, Pascual MA, Lucchesi S, Kambale B, Surbeck M. Evaluating the efficacy of a consumer-centric method for ecological sampling: Using bonobo ( Pan paniscus) feeding patterns as an instrument for tropical forest characterization. Ecol Evol 2022; 12:e9606. [PMID: 36619712 PMCID: PMC9798251 DOI: 10.1002/ece3.9606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 09/15/2022] [Accepted: 11/19/2022] [Indexed: 12/30/2022] Open
Abstract
Characteristics of food availability and distribution are key components of a species' ecology. Objective ecological surveying used in animal behavior research does not consider aspects of selection by the consumer and therefore may produce imprecise measures of availability. We propose a method to integrate ecological sampling of an animal's environment into existing behavioral data collection systems by using the consumer as the surveyor. Here, we evaluate the consumer-centric method (CCM) of assessing resource availability for its ability to measure food resource abundance, distribution, and dispersion. This method catalogs feeding locations observed during behavioral observation and uses aggregated data to characterize these ecological metrics. We evaluated the CCM relative to traditional vegetation plot surveying using accumulated feeding locations across 3 years visited by a tropical frugivore, the bonobo (Pan paniscus), and compared it with data derived from over 200 vegetation plots across their 50 km2+ home ranges. We demonstrate that food species abundance estimates derived from the CCM are comparable to those derived from traditional vegetation plot sampling in less than 2 years of data collection, and agreement improved when accounting for aspects of consumer selectivity in objective vegetation plot sampling (e.g., tree size minima). Density correlated between CCM and plot-derived estimates and was relatively insensitive to home range inclusion and other species characteristics, however, it was sensitive to sampling frequency. Agreement between the methods in relative distribution of resources performed better across species than expected by chance, although measures of dispersion correlated poorly. Once tested in other systems, the CCM may provide a robust measure of food availability for use in relative food availability indices and can be incorporated into existing observational data collection. The CCM has an advantage over traditional sampling methods as it incorporates sampling biases relevant to the consumer, thereby serving as a promising method for animal behavioral research.
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Affiliation(s)
- Erin G. Wessling
- Harvard UniversityCambridgeMassachusettsUSA,St. Andrews, School of Psychology and NeuroscienceUniversity of St AndrewsSt AndrewsUK
| | - Liran Samuni
- Harvard UniversityCambridgeMassachusettsUSA,St. Andrews, School of Psychology and NeuroscienceUniversity of St AndrewsSt AndrewsUK
| | - Roger Mundry
- Platform Bioinformatics and BiostatisticsVetMedUniViennaAustria,Cognitive Ethology Laboratory, German Primate CenterLeibniz Institute for Primate ResearchGöttingenGermany,Department for Primate CognitionGeorg‐August‐University GöttingenGöttingenGermany,Leibniz Science Campus Primate CognitionGöttingenGermany
| | | | - Stefano Lucchesi
- Harvard UniversityCambridgeMassachusettsUSA,Max Planck Institute for Evolutionary AnthropologyLeipzigGermany
| | - Bienfait Kambale
- Centre de Surveillance de la Biodiversité de l'Université de KisanganiKisanganiDemocratic Republic of the Congo
| | - Martin Surbeck
- Harvard UniversityCambridgeMassachusettsUSA,Kokolopori Bonobo Research ProjectTshuapaDemocratic Republic of the Congo,Max Planck Institute for Evolutionary AnthropologyLeipzigGermany
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Sharma AK, Davison S, Pafco B, Clayton JB, Rothman JM, McLennan MR, Cibot M, Fuh T, Vodicka R, Robinson CJ, Petrzelkova K, Gomez A. The primate gut mycobiome-bacteriome interface is impacted by environmental and subsistence factors. NPJ Biofilms Microbiomes 2022; 8:12. [PMID: 35301322 PMCID: PMC8930997 DOI: 10.1038/s41522-022-00274-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 01/31/2022] [Indexed: 11/29/2022] Open
Abstract
The gut microbiome of primates is known to be influenced by both host genetic background and subsistence strategy. However, these inferences have been made mainly based on adaptations in bacterial composition - the bacteriome and have commonly overlooked the fungal fraction - the mycobiome. To further understand the factors that shape the gut mycobiome of primates and mycobiome-bacteriome interactions, we sequenced 16 S rRNA and ITS2 markers in fecal samples of four different nonhuman primate species and three human groups under different subsistence patterns (n = 149). The results show that gut mycobiome composition in primates is still largely unknown but highly plastic and weakly structured by primate phylogeny, compared with the bacteriome. We find significant gut mycobiome overlap between captive apes and human populations living under industrialized subsistence contexts; this is in contrast with contemporary hunter-gatherers and agriculturalists, who share more mycobiome traits with diverse wild-ranging nonhuman primates. In addition, mycobiome-bacteriome interactions were specific to each population, revealing that individual, lifestyle and intrinsic ecological factors affect structural correspondence, number, and kind of interactions between gut bacteria and fungi in primates. Our findings indicate a dominant effect of ecological niche, environmental factors, and diet over the phylogenetic background of the host, in shaping gut mycobiome composition and mycobiome-bacteriome interactions in primates.
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Affiliation(s)
- Ashok K Sharma
- Department of Animal Science, University of Minnesota, St. Paul, MN, USA.,Department of Gastroenterology, Inflammatory Bowel & Immunology Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Sam Davison
- Department of Animal Science, University of Minnesota, St. Paul, MN, USA
| | - Barbora Pafco
- Institute of Vertebrate Biology, Czech Academy of Sciences, Brno, Czech Republic
| | - Jonathan B Clayton
- Department of Biology, University of Nebraska at Omaha, Omaha, NE, USA.,Callitrichid Research Center (CRC, Marmoset Colony) at the University of Nebraska at Omaha, Omaha, NE, USA.,Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.,Primate Microbiome Project, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Jessica M Rothman
- Department of Anthropology, Hunter College of the City University of New York, 695 Park Avenue, New York, NY, USA.,New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Matthew R McLennan
- Department of Social Sciences, Faculty of Humanities and Social Sciences, Oxford Brookes University, Oxford, UK.,Bulindi Chimpanzee & Community Project, Hoima, Uganda
| | - Marie Cibot
- Department of Social Sciences, Faculty of Humanities and Social Sciences, Oxford Brookes University, Oxford, UK.,Bulindi Chimpanzee & Community Project, Hoima, Uganda.,Anicoon Vétérinaires, Ploemeur, France
| | - Terence Fuh
- WWF Central African Republic, Bayanga, Central African Republic
| | | | | | - Klara Petrzelkova
- Institute of Vertebrate Biology, Czech Academy of Sciences, Brno, Czech Republic.,Institute of Parasitology, Biology Centre, Czech Academy of Sciences, Ceske Budejovice, Brno, Czech Republic
| | - Andres Gomez
- Department of Animal Science, University of Minnesota, St. Paul, MN, USA. .,Primate Microbiome Project, University of Nebraska-Lincoln, Lincoln, NE, USA. .,Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA.
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