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Zhu Q, Damba I, Zhao Q, Yi K, Batbayar N, Natsagdorj T, Davaasuren B, Wang X, Rozenfeld S, Moriguchi S, Zhan A, Cao L, Fox AD. Lack of conspicuous sex-biased dispersal patterns at different spatial scales in an Asian endemic goose species breeding in unpredictable steppe wetlands. Ecol Evol 2020; 10:7006-7020. [PMID: 32760508 PMCID: PMC7391341 DOI: 10.1002/ece3.6382] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 04/20/2020] [Accepted: 04/21/2020] [Indexed: 12/01/2022] Open
Abstract
Dispersal affects the spatial distribution and population structure of species. Dispersal is often male-biased in mammals while female-biased in birds, with the notable exception of the Anatidae. In this study, we tested genetic evidence for sex-biased dispersal (SBD) in the Swan Goose Anser cygnoides, an Asian endemic and IUCN vulnerable species, which has been increasingly restricted to breeding on Mongolian steppe wetlands. We analyzed the genotypes of 278 Swan Geese samples from 14 locations at 14 microsatellite loci. Results from assignment indices, analysis of molecular variance, and five other population descriptors all failed to support significant SBD signals for the Swan Goose at the landscape level. Although overall results showed significantly high relatedness within colonies (suggesting high levels of philopatry in both sexes), local male genetic structure at the 1,050 km distance indicated greater dispersal distance for females from the eastern sector of the breeding range. Hence, local dispersal is likely scale-dependent and female-biased within the eastern breeding range. These findings are intriguing considering the prevailing expectation for there to be female fidelity in most goose species. We suggest that while behavior-related traits may have facilitated the local genetic structure for the Swan Goose, several extrinsic factors, including the decreasing availability of the nesting sites and the severe fragmentation of breeding habitats, could have contributed to the absence of SBD at the landscape level. The long-distance molt migration that is typical of goose species such as the Swan Goose may also have hampered our ability to detect SBD. Hence, we urge further genetic sampling from other areas in summer to extend our results, complemented by field observations to confirm our DNA analysis conclusions about sex-specific dispersal patterns at different spatial scales in this species.
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Affiliation(s)
- Qin Zhu
- School of Life SciencesUniversity of Science and Technology of ChinaHefeiChina
| | - Iderbat Damba
- State Key Laboratory of Urban and Regional EcologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- Ornithology LaboratoryInstitute of BiologyMongolian Academy of SciencesUlaanbaatarMongolia
| | - Qingshan Zhao
- State Key Laboratory of Urban and Regional EcologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
| | - Kunpeng Yi
- State Key Laboratory of Urban and Regional EcologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
| | | | | | | | - Xin Wang
- State Key Laboratory of Urban and Regional EcologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
| | - Sonia Rozenfeld
- Bird Ringing Centre of RussiaInstitute of Ecology and EvolutionRussian Academy of SciencesMoscowRussia
| | - Sachiko Moriguchi
- Faculty of Veterinary ScienceNippon Veterinary and Life Science UniversityTokyoJapan
| | - Aibin Zhan
- University of Chinese Academy of SciencesBeijingChina
- Key Laboratory of Environmental BiotechnologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
| | - Lei Cao
- State Key Laboratory of Urban and Regional EcologyResearch Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
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Li J, Lv L, Wang P, Wang Y, Hatchwell BJ, Zhang Z. Sex-biased dispersal patterns of a social passerine: complementary approaches and evidence for a role of spatial scale. Biol J Linn Soc Lond 2019. [DOI: 10.1093/biolinnean/blz122] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
AbstractAnimal dispersal patterns have important implications for many biological processes, but the measurement of dispersal is challenging and often requires the use of complementary approaches. In this study, we investigated the local-scale sex-biased dispersal pattern in a social bird, the black-throated tit (Aegithalos concinnus), in central China. Spatial genetic autocorrelation analyses suggested that significant fine-scale genetic structure existed in males but not in females. Mark–recapture analyses of ringed individuals also showed that female offspring were more dispersive than male offspring, supporting genetic evidence of local female-biased dispersal. These results were contrary to a previous finding of male-biased long-distance dispersal in this species that was based on analyses of gene flow across the species range in China. This implies that the species might potentially have a scale-dependent dispersal strategy, with females frequently dispersing further than males at the local level, but with a proportion of males occasionally dispersing over long distances and contributing more to gene flow at a larger geographical scale. Long-distance dispersal by male black-throated tits might be induced by competition for resources or by unfavourable environmental conditions, warranting further investigation, but our findings increase the evidence that geographical scale is an important factor to be considered when investigating animal dispersal patterns.
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Affiliation(s)
- Jianqiang Li
- School of Nature Conservation, Beijing Forestry University, Beijing, China
| | - Lei Lv
- School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Pengcheng Wang
- Ministry of Education Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yong Wang
- Department of Biological and Environmental Sciences, School of Agricultural, Life and Natural Sciences, Alabama A&M University, Normal, AL, USA
| | - Ben J Hatchwell
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
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Schregel J, Remm J, Eiken HG, Swenson JE, Saarma U, Hagen SB. Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears
Ursus arctos. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.12980] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Julia Schregel
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
- Faculty of Environmental Science and Natural Resource ManagementNorwegian University of Life Sciences Ǻs Norway
| | - Jaanus Remm
- Department of ZoologyInstitute of Ecology and Earth SciencesUniversity of Tartu Tartu Estonia
| | - Hans Geir Eiken
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
| | - Jon E. Swenson
- Faculty of Environmental Science and Natural Resource ManagementNorwegian University of Life Sciences Ǻs Norway
- Norwegian Institute for Nature Research Trondheim Norway
| | - Urmas Saarma
- Department of ZoologyInstitute of Ecology and Earth SciencesUniversity of Tartu Tartu Estonia
| | - Snorre B. Hagen
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
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Shaw RE, Banks SC, Peakall R. The impact of mating systems and dispersal on fine-scale genetic structure at maternally, paternally and biparentally inherited markers. Mol Ecol 2017; 27:66-82. [PMID: 29154412 DOI: 10.1111/mec.14433] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 11/06/2017] [Accepted: 11/08/2017] [Indexed: 10/18/2022]
Abstract
For decades, studies have focused on how dispersal and mating systems influence genetic structure across populations or social groups. However, we still lack a thorough understanding of how these processes and their interaction shape spatial genetic patterns over a finer scale (tens-hundreds of metres). Using uniparentally inherited markers may help answer these questions, yet their potential has not been fully explored. Here, we use individual-level simulations to investigate the effects of dispersal and mating system on fine-scale genetic structure at autosomal, mitochondrial and Y chromosome markers. Using genetic spatial autocorrelation analysis, we found that dispersal was the major driver of fine-scale genetic structure across maternally, paternally and biparentally inherited markers. However, when dispersal was restricted (mean distance = 100 m), variation in mating behaviour created strong differences in the comparative level of structure detected at maternally and paternally inherited markers. Promiscuity reduced spatial genetic structure at Y chromosome loci (relative to monogamy), whereas structure increased under polygyny. In contrast, mitochondrial and autosomal markers were robust to differences in the specific mating system, although genetic structure increased across all markers when reproductive success was skewed towards fewer individuals. Comparing males and females at Y chromosome vs. mitochondrial markers, respectively, revealed that some mating systems can generate similar patterns to those expected under sex-biased dispersal. This demonstrates the need for caution when inferring ecological and behavioural processes from genetic results. Comparing patterns between the sexes, across a range of marker types, may help us tease apart the processes shaping fine-scale genetic structure.
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Affiliation(s)
- Robyn E Shaw
- Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, Australia.,The Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia
| | - Sam C Banks
- The Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia
| | - Rod Peakall
- Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, Australia
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Tucker JM, Allendorf FW, Truex RL, Schwartz MK. Sex‐biased dispersal and spatial heterogeneity affect landscape resistance to gene flow in fisher. Ecosphere 2017. [DOI: 10.1002/ecs2.1839] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Jody M. Tucker
- Sequoia National Forest U.S. Forest Service, Pacific Southwest Region 1839 S. Newcomb Street Porterville California 93257 USA
| | - Fred W. Allendorf
- Division of Biological Sciences University of Montana 32 Campus Drive Missoula Montana 59812 USA
| | - Richard L. Truex
- U.S. Forest Service, Rocky Mountain Region 1617 Cole Boulevard Lakewood Colorado 80401 USA
| | - Michael K. Schwartz
- U.S. Forest Service, Rocky Mountain Research Station 800 East Beckwith Avenue Missoula Montana 59801 USA
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Karamanlidis AA, Czarnomska SD, Kopatz A, Georgiadis L, Jędrzejewska B. Wolf population genetics at the south-eastern edge of their European range. Mamm Biol 2016. [DOI: 10.1016/j.mambio.2016.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Identifying populations for management: fine-scale population structure in the New Zealand alpine rock wren (Xenicus gilviventris). CONSERV GENET 2016. [DOI: 10.1007/s10592-016-0815-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Schregel J, Eiken HG, Grøndahl FA, Hailer F, Aspi J, Kojola I, Tirronen K, Danilov P, Rykov A, Poroshin E, Janke A, Swenson JE, Hagen SB. Y chromosome haplotype distribution of brown bears (Ursus arctos
) in Northern Europe provides insight into population history and recovery. Mol Ecol 2015; 24:6041-60. [DOI: 10.1111/mec.13448] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 10/17/2015] [Accepted: 10/26/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Julia Schregel
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
- Department of Ecology and Natural Resource Management; Norwegian University of Life Sciences; 1432 Ås Norway
| | - Hans Geir Eiken
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
| | | | - Frank Hailer
- School of Biosciences; Cardiff University; Cardiff CF10 3AX Wales UK
- Biodiversity and Climate Research Centre (BiK-F); Senckenberg Gesellschaft für Naturforschung; Senckenberganlage 25 60325 Frankfurt am Main Germany
| | - Jouni Aspi
- Department of Genetics and Physiology; University of Oulu; P.O. Box 3000 90014 Oulu Finland
| | - Ilpo Kojola
- Natural Resources Institute; P.O. Box 16 96301 Rovaniemi Finland
| | - Konstantin Tirronen
- Institute of Biology; Karelian Research Centre of the Russian Academy of Science; 185910 Petrozavodsk Russian Federation
| | - Piotr Danilov
- Institute of Biology; Karelian Research Centre of the Russian Academy of Science; 185910 Petrozavodsk Russian Federation
| | - Alexander Rykov
- Pinezhsky Strict Nature Reserve; Pervomayskaja 123a 164610 Pinega Russian Federation
| | - Eugene Poroshin
- Institute of Biology; Komi Research Centre of the Russian Academy of Science; 016761 Syktvkar Russian Federation
| | - Axel Janke
- Biodiversity and Climate Research Centre (BiK-F); Senckenberg Gesellschaft für Naturforschung; Senckenberganlage 25 60325 Frankfurt am Main Germany
- Goethe University Frankfurt; Institute for Ecology; Evolution & Diversity; 60438 Frankfurt am Main Germany
| | - Jon E. Swenson
- Department of Ecology and Natural Resource Management; Norwegian University of Life Sciences; 1432 Ås Norway
- Norwegian Institute for Nature Research; 7485 Trondheim Norway
| | - Snorre B. Hagen
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
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Mitochondrial divergence between slow- and fast-aging garter snakes. Exp Gerontol 2015; 71:135-46. [PMID: 26403677 DOI: 10.1016/j.exger.2015.09.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 09/03/2015] [Accepted: 09/04/2015] [Indexed: 01/26/2023]
Abstract
Mitochondrial function has long been hypothesized to be intimately involved in aging processes--either directly through declining efficiency of mitochondrial respiration and ATP production with advancing age, or indirectly, e.g., through increased mitochondrial production of damaging free radicals with age. Yet we lack a comprehensive understanding of the evolution of mitochondrial genotypes and phenotypes across diverse animal models, particularly in species that have extremely labile physiology. Here, we measure mitochondrial genome-types and transcription in ecotypes of garter snakes (Thamnophis elegans) that are adapted to disparate habitats and have diverged in aging rates and lifespans despite residing in close proximity. Using two RNA-seq datasets, we (1) reconstruct the garter snake mitochondrial genome sequence and bioinformatically identify regulatory elements, (2) test for divergence of mitochondrial gene expression between the ecotypes and in response to heat stress, and (3) test for sequence divergence in mitochondrial protein-coding regions in these slow-aging (SA) and fast-aging (FA) naturally occurring ecotypes. At the nucleotide sequence level, we confirmed two (duplicated) mitochondrial control regions one of which contains a glucocorticoid response element (GRE). Gene expression of protein-coding genes was higher in FA snakes relative to SA snakes for most genes, but was neither affected by heat stress nor an interaction between heat stress and ecotype. SA and FA ecotypes had unique mitochondrial haplotypes with amino acid substitutions in both CYTB and ND5. The CYTB amino acid change (Isoleucine → Threonine) was highly segregated between ecotypes. This divergence of mitochondrial haplotypes between SA and FA snakes contrasts with nuclear gene-flow estimates, but correlates with previously reported divergence in mitochondrial function (mitochondrial oxygen consumption, ATP production, and reactive oxygen species consequences).
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10
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Broad-scale genetic patterns of New Zealand abalone, Haliotis iris, across a distribution spanning 13° latitude and major oceanic water masses. Genetica 2015; 143:487-500. [PMID: 26050219 DOI: 10.1007/s10709-015-9847-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Accepted: 05/30/2015] [Indexed: 10/23/2022]
Abstract
The New Zealand black-foot abalone, Haliotis iris, or pāua, is endemic to the rocky reefs surrounding New Zealand, whose main land mass spans 13° of latitude and separates the Tasman Sea from the Pacific Ocean. In this study, we examined the population genetic structure of this important commercial, cultural and recreational species by genotyping nine microsatellite loci in 485 pāua from 27 locations distributed across mainland New Zealand and the Chatham Islands. We found low, but significant, levels of genetic differentiation. Key genetic breaks were identified among the Chatham Islands and mainland samples; patterns that are strongly corroborated by prior work employing mtDNA sequences. AMOVAs indicated that samples from the south of the North Island were more similar to the South Island samples than to other North Island samples, however multivariate analysis and Bayesian clustering could not identify a significant pattern. Differentiation between the Chatham Islands and the mainland is most likely due to isolation by distance, while differentiation of North Island samples corresponds with major components of New Zealand's oceanography, Cook Strait and the East Cape. Despite intense fishing pressure, we detected no signature of genetic bottlenecks in any region suggesting that population sizes have remained relatively stable over recent time or that the census size of this species is much larger than its effective population size.
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Sex-linked and autosomal microsatellites provide new insights into island populations of the tammar wallaby. Heredity (Edinb) 2013; 112:333-42. [PMID: 24169646 DOI: 10.1038/hdy.2013.109] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Revised: 09/24/2013] [Accepted: 09/25/2013] [Indexed: 11/08/2022] Open
Abstract
The emerging availability of microsatellite markers from mammalian sex chromosomes provides opportunities to investigate both male- and female-mediated gene flow in wild populations, identifying patterns not apparent from the analysis of autosomal markers alone. Tammar wallabies (Macropus eugenii), once spread over the southern mainland, have been isolated on several islands off the Western Australian and South Australian coastlines for between 10,000 and 13,000 years. Here, we combine analyses of autosomal, Y-linked and X-linked microsatellite loci to investigate genetic variation in populations of this species on two islands (Kangaroo Island, South Australia and Garden Island, Western Australia). All measures of diversity were higher for the larger Kangaroo Island population, in which genetic variation was lowest at Y-linked markers and highest at autosomal markers (θ=3.291, 1.208 and 0.627 for autosomal, X-linked and Y-linked data, respectively). Greater relatedness among females than males provides evidence for male-biased dispersal in this population, while sex-linked markers identified genetic lineages not apparent from autosomal data alone. Overall genetic diversity in the Garden Island population was low, especially on the Y chromosome where most males shared a common haplotype, and we observed high levels of inbreeding and relatedness among individuals. Our findings highlight the utility of this approach for management actions, such as the selection of animals for translocation or captive breeding, and the ecological insights that may be gained by combining analyses of microsatellite markers on sex chromosomes with those derived from autosomes.
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Vangestel C, Callens T, Vandomme V, Lens L. Sex-biased dispersal at different geographical scales in a cooperative breeder from fragmented rainforest. PLoS One 2013; 8:e71624. [PMID: 23951208 PMCID: PMC3739751 DOI: 10.1371/journal.pone.0071624] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Accepted: 07/01/2013] [Indexed: 11/19/2022] Open
Abstract
Dispersal affects both social behavior and population structure and is therefore a key determinant of long-term population persistence. However, dispersal strategies and responses to spatial habitat alteration may differ between sexes. Here we analyzed spatial and temporal variation in ten polymorphic microsatellite DNA loci of male and female Cabanis's greenbuls (Phyllastrephuscabanisi), a cooperative breeder of Afrotropical rainforest, to quantify rates of gene flow and fine-grained genetic structuring within and among fragmented populations. We found genetic evidence for female-biased dispersal at small spatial scales, but not at the landscape level. Local autocorrelation analysis provided evidence of positive genetic structure within 300 m distance ranges, which is consistent with behavioral observations of short-distance natal dispersal. At a landscape scale, individual-based autocorrelation values decreased over time while levels of admixture increased, possibly indicating increased gene flow over the past decade.
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Affiliation(s)
- Carl Vangestel
- Terrestrial Ecology Unit, Ghent University, Ghent, Belgium.
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13
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Affiliation(s)
- David P L Toews
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, 6270 University Blvd., Vancouver, BC V6T 1Z4, Canada.
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