1
|
Zinner D, Paciência FMD, Roos C. Host-Parasite Coevolution in Primates. Life (Basel) 2023; 13:life13030823. [PMID: 36983978 PMCID: PMC10058613 DOI: 10.3390/life13030823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 01/26/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Organisms adapt to their environment through evolutionary processes. Environments consist of abiotic factors, but also of other organisms. In many cases, two or more species interact over generations and adapt in a reciprocal way to evolutionary changes in the respective other species. Such coevolutionary processes are found in mutualistic and antagonistic systems, such as predator-prey and host-parasite (including pathogens) relationships. Coevolution often results in an "arms race" between pathogens and hosts and can significantly affect the virulence of pathogens and thus the severity of infectious diseases, a process that we are currently witnessing with SARS-CoV-2. Furthermore, it can lead to co-speciation, resulting in congruent phylogenies of, e.g., the host and parasite. Monkeys and other primates are no exception. They are hosts to a large number of pathogens that have shaped not only the primate immune system but also various ecological and behavioral adaptions. These pathogens can cause severe diseases and most likely also infect multiple primate species, including humans. Here, we briefly review general aspects of the coevolutionary process in its strict sense and highlight the value of cophylogenetic analyses as an indicator for coevolution.
Collapse
Affiliation(s)
- Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-University of Göttingen, 37077 Göttingen, Germany
- Leibniz Science Campus Primate Cognition, 37077 Göttingen, Germany
| | | | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| |
Collapse
|
2
|
Kiffner C, Paciência FMD, Henrich G, Kaitila R, Chuma IS, Mbaryo P, Knauf S, Kioko J, Zinner D. Road-based line distance surveys overestimate densities of olive baboons. PLoS One 2022; 17:e0263314. [PMID: 35108346 PMCID: PMC8809570 DOI: 10.1371/journal.pone.0263314] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 01/14/2022] [Indexed: 11/26/2022] Open
Abstract
Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011 to 2019, we counted olive baboons along road transects, estimated survey-specific densities in a distance sampling framework, and assessed temporal population trends. Based on the fitted half-normal detection function, the mean density was 132.5 baboons km-2 (95% CI: 110.4–159.2), however, detection models did not fit well due to heaping of sightings on and near the transects. Density estimates were associated with relatively wide confidence intervals that were mostly caused by encounter rate variance. Based on a generalized additive model, baboon densities were greater during the rainy seasons compared to the dry seasons but did not show marked annual trends. Compared to estimates derived from the alternative method (sleeping site survey), distance sampling along road transects overestimated the abundance of baboons more than threefold. Possibly, this overestimation was caused by the preferred use of roads by baboons. While being a frequently used technique (due to its relative ease of implementation compared to spatially randomized survey techniques), inferring population density of baboons (and possibly other species) based on road transects should be treated with caution. Beyond these methodological concerns and considering only the most conservative estimates, baboon densities in LMNP are among the highest across their geographic distribution range.
Collapse
Affiliation(s)
- Christian Kiffner
- The School For Field Studies, Center For Wildlife Management Studies, Karatu, Tanzania
- Department of Human Behavior, Max Planck Institute for Evolutionary Anthropology, Ecology and Culture, Leipzig, Germany
- Junior Research Group Human‐Wildlife Conflict & Coexistence, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
| | - Filipa M. D. Paciência
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Grace Henrich
- Vassar College, Poughkeepsie, New York State, United States of America
| | - Rehema Kaitila
- Tanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania
| | - Idrissa S. Chuma
- Tanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania
| | - Pay Mbaryo
- Tanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health / One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Greifswald, Insel Riems, Germany
- Infection Biology Unit, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - John Kioko
- The School For Field Studies, Center For Wildlife Management Studies, Karatu, Tanzania
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
- Department of Primate Cognition, Georg-August-University of Göttingen, Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
- * E-mail:
| |
Collapse
|