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Mouginot M, Cheng L, Wilson ML, Feldblum JT, Städele V, Wroblewski EE, Vigilant L, Hahn BH, Li Y, Gilby IC, Pusey AE, Surbeck M. Reproductive inequality among males in the genus Pan. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220301. [PMID: 37381849 PMCID: PMC10291431 DOI: 10.1098/rstb.2022.0301] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/21/2023] [Indexed: 06/30/2023] Open
Abstract
Reproductive inequality, or reproductive skew, drives natural selection, but has been difficult to assess, particularly for males in species with promiscuous mating and slow life histories, such as bonobos (Pan paniscus) and chimpanzees (Pan troglodytes). Although bonobos are often portrayed as more egalitarian than chimpanzees, genetic studies have found high male reproductive skew in bonobos. Here, we discuss mechanisms likely to affect male reproductive skew in Pan, then re-examine skew patterns using paternity data from published work and new data from the Kokolopori Bonobo Reserve, Democratic Republic of Congo and Gombe National Park, Tanzania. Using the multinomial index (M), we found considerable overlap in skew between the species, but the highest skew occurred among bonobos. Additionally, for two of three bonobo communities, but no chimpanzee communities, the highest ranking male had greater siring success than predicted by priority-of-access. Thus, an expanded dataset covering a broader demographic range confirms that bonobos have high male reproductive skew. Detailed comparison of data from Pan highlights that reproductive skew models should consider male-male dynamics including the effect of between-group competition on incentives for reproductive concessions, but also female grouping patterns and factors related to male-female dynamics including the expression of female choice. This article is part of the theme issue 'Evolutionary ecology of inequality'.
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Affiliation(s)
- Maud Mouginot
- Department of Anthropology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Leveda Cheng
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Michael L. Wilson
- Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN 55108, USA
- Institute on the Environment, University of Minnesota, Saint Paul, MN 55108, USA
| | - Joseph T. Feldblum
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Veronika Städele
- School of Human Evolution and Social Change, and Institute of Human Origins, Arizona State University, Tempe, AZ 85287, USA
- Cognitive Ethology Laboratory, German Primate Center, Göttingen 37077, Germany
| | - Emily E. Wroblewski
- Department of Anthropology, Washington University in St Louis, St Louis, MO 63130, USA
| | - Linda Vigilant
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Beatrice H. Hahn
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yingying Li
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ian C. Gilby
- School of Human Evolution and Social Change, and Institute of Human Origins, Arizona State University, Tempe, AZ 85287, USA
| | - Anne E. Pusey
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Martin Surbeck
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
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Geographic patterns of genomic variation in the threatened Salado salamander, Eurycea chisholmensis. CONSERV GENET 2021. [DOI: 10.1007/s10592-021-01364-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Klingler KB, Jahner JP, Parchman TL, Ray C, Peacock MM. Genomic variation in the American pika: signatures of geographic isolation and implications for conservation. BMC Ecol Evol 2021; 21:2. [PMID: 33514306 PMCID: PMC7853312 DOI: 10.1186/s12862-020-01739-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 12/17/2020] [Indexed: 01/12/2023] Open
Abstract
Background Distributional responses by alpine taxa to repeated, glacial-interglacial cycles throughout the last two million years have significantly influenced the spatial genetic structure of populations. These effects have been exacerbated for the American pika (Ochotona princeps), a small alpine lagomorph constrained by thermal sensitivity and a limited dispersal capacity. As a species of conservation concern, long-term lack of gene flow has important consequences for landscape genetic structure and levels of diversity within populations. Here, we use reduced representation sequencing (ddRADseq) to provide a genome-wide perspective on patterns of genetic variation across pika populations representing distinct subspecies. To investigate how landscape and environmental features shape genetic variation, we collected genetic samples from distinct geographic regions as well as across finer spatial scales in two geographically proximate mountain ranges of eastern Nevada. Results Our genome-wide analyses corroborate range-wide, mitochondrial subspecific designations and reveal pronounced fine-scale population structure between the Ruby Mountains and East Humboldt Range of eastern Nevada. Populations in Nevada were characterized by low genetic diversity (π = 0.0006–0.0009; θW = 0.0005–0.0007) relative to populations in California (π = 0.0014–0.0019; θW = 0.0011–0.0017) and the Rocky Mountains (π = 0.0025–0.0027; θW = 0.0021–0.0024), indicating substantial genetic drift in these isolated populations. Tajima’s D was positive for all sites (D = 0.240–0.811), consistent with recent contraction in population sizes range-wide. Conclusions Substantial influences of geography, elevation and climate variables on genetic differentiation were also detected and may interact with the regional effects of anthropogenic climate change to force the loss of unique genetic lineages through continued population extirpations in the Great Basin and Sierra Nevada.
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Affiliation(s)
| | - Joshua P Jahner
- Department of Biology, University of Nevada, Reno, 89557, USA
| | - Thomas L Parchman
- Department of Biology, University of Nevada, Reno, 89557, USA.,Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA
| | - Chris Ray
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, 80309-0334, USA
| | - Mary M Peacock
- Department of Biology, University of Nevada, Reno, 89557, USA. .,Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.
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Jahner JP, Matocq MD, Malaney JL, Cox M, Wolff P, Gritts MA, Parchman TL. The genetic legacy of 50 years of desert bighorn sheep translocations. Evol Appl 2019; 12:198-213. [PMID: 30697334 PMCID: PMC6346675 DOI: 10.1111/eva.12708] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 08/16/2018] [Accepted: 08/18/2018] [Indexed: 12/20/2022] Open
Abstract
Conservation biologists have increasingly used translocations to mitigate population declines and restore locally extirpated populations. Genetic data can guide the selection of source populations for translocations and help evaluate restoration success. Bighorn sheep (Ovis canadensis) are a managed big game species that suffered widespread population extirpations across western North America throughout the early 1900s. Subsequent translocation programs have successfully re-established many formally extirpated bighorn herds, but most of these programs pre-date genetically informed management practices. The state of Nevada presents a particularly well-documented case of decline followed by restoration of extirpated herds. Desert bighorn sheep (O. c. nelsoni) populations declined to less than 3,000 individuals restricted to remnant herds in the Mojave Desert and a few locations in the Great Basin Desert. Beginning in 1968, the Nevada Department of Wildlife translocated ~2,000 individuals from remnant populations to restore previously extirpated areas, possibly establishing herds with mixed ancestries. Here, we examined genetic diversity and structure among remnant herds and the genetic consequences of translocation from these herds using a genotyping-by-sequencing approach to genotype 17,095 loci in 303 desert bighorn sheep. We found a signal of population genetic structure among remnant Mojave Desert populations, even across geographically proximate mountain ranges. Further, we found evidence of a genetically distinct, potential relict herd from a previously hypothesized Great Basin lineage of desert bighorn sheep. The genetic structure of source herds was clearly reflected in translocated populations. In most cases, herds retained genetic evidence of multiple translocation events and subsequent admixture when founded from multiple remnant source herds. Our results add to a growing literature on how population genomic data can be used to guide and monitor restoration programs.
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Affiliation(s)
| | - Marjorie D. Matocq
- Department of Natural Resources and Environmental Science, and Program in Ecology, Evolution, and Conservation BiologyUniversity of NevadaRenoNevada
| | - Jason L. Malaney
- Department of BiologyAustin Peay State UniversityClarksvilleTennessee
| | - Mike Cox
- Nevada Department of Wildlife, and Wild Sheep Working GroupWestern Association of Fish and Wildlife AgenciesRenoNevada
| | | | | | - Thomas L. Parchman
- Department of Biology, and Program in Ecology, Evolution, and Conservation BiologyUniversity of NevadaRenoNevada
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Gibson D, Blomberg EJ, Atamian MT, Espinosa SP, Sedinger JS. Effects of power lines on habitat use and demography of greater sage-grouse (Centrocercus urophasianus). WILDLIFE MONOGRAPHS 2018. [DOI: 10.1002/wmon.1034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Daniel Gibson
- Department of Natural Resources and Environmental Science, Program in Ecology, Evolution, and Conservation Biology; University of Nevada Reno; Mail Stop 186 Reno NV 89557 USA
| | - Erik J. Blomberg
- Department of Wildlife, Fisheries, and Conservation Biology; University of Maine; 5755 Nutting Hall Room 210 Orono ME 04469 USA
| | - Michael T. Atamian
- Washington Department of Fish and Wildlife; 2315 North Discovery Place Spokane Valley WA 99216 USA
| | - Shawn P. Espinosa
- Nevada Department of Wildlife; 6980 Sierra Center Parkway, Suite 120 Reno NV 89511 USA
| | - James S. Sedinger
- Department of Natural Resources and Environmental Science, Program in Ecology, Evolution, and Conservation Biology; University of Nevada Reno; Mail Stop 186 Reno NV 89557 USA
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Kane K, Sedinger JS, Gibson D, Blomberg E, Atamian M. Fitness landscapes and life-table response experiments predict the importance of local areas to population dynamics. Ecosphere 2017. [DOI: 10.1002/ecs2.1869] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Kristin Kane
- Department of Natural Resources and Environmental Science; University of Nevada Reno; Reno Nevada 89557 USA
| | - James S. Sedinger
- Department of Natural Resources and Environmental Science; University of Nevada Reno; Reno Nevada 89557 USA
| | - Daniel Gibson
- Department of Fish and Wildlife Conservation; Virginia Polytechnic Institute and State University; Blacksburg Virginia 24061 USA
| | - Erik Blomberg
- Department of Wildlife, Fisheries, and Conservation Biology; University of Maine; Orono Maine 04469 USA
| | - Michael Atamian
- Washington Department of Fish & Wildlife; Spokane Valley Washington 99216 USA
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Branch CL, Jahner JP, Kozlovsky DY, Parchman TL, Pravosudov VV. Absence of population structure across elevational gradients despite large phenotypic variation in mountain chickadees ( Poecile gambeli). ROYAL SOCIETY OPEN SCIENCE 2017; 4:170057. [PMID: 28405402 PMCID: PMC5383859 DOI: 10.1098/rsos.170057] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 02/16/2017] [Indexed: 06/07/2023]
Abstract
Montane habitats are characterized by predictably rapid heterogeneity along elevational gradients and are useful for investigating the consequences of environmental heterogeneity for local adaptation and population genetic structure. Food-caching mountain chickadees inhabit a continuous elevation gradient in the Sierra Nevada, and birds living at harsher, high elevations have better spatial memory ability and exhibit differences in male song structure and female mate preference compared to birds inhabiting milder, low elevations. While high elevation birds breed, on average, two weeks later than low elevation birds, the extent of gene flow between elevations is unknown. Despite phenotypic variation and indirect evidence for local adaptation, population genetic analyses based on 18 073 single nucleotide polymorphisms across three transects of high and low elevation populations provided no evidence for genetic differentiation. Analyses based on individual genotypes revealed no patterns of clustering, pairwise estimates of genetic differentiation (FST, Nei's D) were very low, and AMOVA revealed no evidence for genetic variation structured by transect or by low and high elevation sites within transects. In addition, we found no consistent evidence for strong parallel allele frequency divergence between low and high elevation sites within the three transects. Large elevation-related phenotypic variation may be maintained by strong selection despite gene flow and future work should focus on the mechanisms underlying such variation.
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