Abstract
Given the ever-increasing anthropogenic changes to natural ecosystems, it is imperative that temporal changes in genetic diversity be monitored to help safeguard the future viability of species. Capensibufo rosei is a small, range-restricted bufonid from South Africa, believed to have experienced an enigmatic decline likely due to the suppression of natural fires and the loss of grazing animals from some areas. Without these disturbances, their habitat becomes overgrown, which might affect the characteristics of their breeding pools. Since the 1980s, four breeding sites have been lost, presumably due to loss of breeding habitat through encroachment of vegetation. Currently, there are only two known populations [Cape of Good Hope (CGH) and Silvermine nature reserves] both within Table Mountain National Park. Consequently, this species may be vulnerable to stochastic events and genetic erosion through the loss of metapopulation connectivity. To assess the genetic status of this species, genetic diversity within both populations was quantified for two time periods using 11 microsatellite markers. Despite evidence of severe population bottlenecks, both populations possess levels of diversity similar to other anurans, and Silvermine has greater diversity than CGH. A close examination of the data revealed both populations to be genetically dynamic through time, with the loss and gain of rare alleles. Both populations also experienced a slight increase in overall diversity between sampling periods. While the latter was not statistically significant, the monitoring period was perhaps too short to understand changes in diversity over time. These results will form the baseline for future monitoring to better understand this threatened and declining species and to track genetic erosion or recovery.
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References
Allentoft ME, O’Brien J (2010) Global amphibian declines, loss of genetic diversity and fitness: a review. Diversity 2:47–71
Altwegg R, Roulin A, Kestenholz M, Jenni L (2003) Variation and covariation in survival, dispersal, and population size in barn owls Tyto alba. J Anim Ecol 72:391–399
Beaumont MA et al (2009) Adaptive approximate bayesian computation. Biometrika 96:983–990
Becker F (2014) Searching for answers to the silent decline: first estimates of survival and recruitment for the critically endangered Rose’s mountain toadlet, Capensibufo rosei. Hons. Dissertation, University of Cape Town
Becker FS (2017) Estimating the global population size of animals that are hard to find: the case of Rose’s mountain toadlet. M.Sc. dissertation. University of Cape Town
Becker F, Tolley KA, Measey GM, Altwegg R (in press) Extreme climate-induced life-history plasticity in an amphibian. Am Nat
Bermond G, Ciosi M, Lombaert E, Blin A, Boriani M et al (2012) Secondary contact and admixture between independently invading populations of the western corn rootworm, Diabrotica virgifera virgifera in Europe. PLoS ONE 7:e50129
Björklund M (2005) A method for adjusting allele frequencies in the case of microsatellite allele drop-out. Mol Ecol Notes 5:676–679
Bond WJ (1997) Functional types for predicting changes in bidoversity: a case stufy in Cape fynbos. In: Smith TM, Shugart HH, Woodward FI (eds) Plant Functional Types: their relevance to ecosystm properties and global change. Cambridge University Press, Canbridge, pp 174–194
Brookfield JFY (1996) A simple new method for estimating null allele frequency from heterozygote deficiency. Mol Ecol 5:453–455
Campagne P, Smouse PE, Varouchas G, Silvain JF, Leru B (2012) Comparing the van Oosterhout and Chybicki-Burczyk methods of estimating null allele frequencies for inbred populations. Mol Ecol Resour 12:975–982
Channing A, Measey GJ, de Villiers AL, Turner AA, Tolley KA (2017) Taxonomy of the Capensibufo rosei group (Anura: Bufonidae) from South Africa. Zootaxa 4232:282–292
Chapuis M-P, Estoup A (2007) Microsatellite null alleles and estimation of population differentiation. Mol Biol Evol 24:621–631
Charlesworth B, Charlesworth D (2010) Elements of evolutionary genetics. Roberts & Co., Greenwood Village
Chevolot M, Ellis JR, Rijnsdorp AD, Stam WT, Olsen JL (2008) Temporal changes in allele frequencies but stable genetic diversity over the past 40 years in the Irish Sea population of thornback ray, Raja clavata. Heredity 101:120–126
Chybicki IJ, Burczyk J (2009) Simultaneous estimation of null alleles and inbreeding coefficients. J Hered 100:106–113
Chybicki IJ, Oleksa A, Burczyk J (2011) Increased inbreeding and strong kinship structure in Taxus baccata estimated from both AFLP and SSR data. Heredity 107:589–600
Cockerham CC, Weir BS (1977) Digenic descent measures for finite populations. Genet Res 30:121–147
Cornuet J-M, Santos F, Beaumont MA et al (2008) Inferring population history with DIY ABC: a user-friendly\rapproach to approximate bayesian computation. Bioinformatics 24:2713–2719
Cornuet J-M, Pudlo P, Veyssier J, Dehne-Garcia A, Gautier M, Leblois R, Marin J-M, Estoup A (2014) DIYABC v2.0: a software to make approximate bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data. Bioinformatics 30:1187–1189
Cressey ER, Measey GJ, Tolley KA (2015) Fading out of view: the enigmatic decline of Rose’s mountain toad Capensibufo rosei. Oryx 49:521–528
da Silva JM, Feldheim KA, Daniels RJ, Edwards S, Tolley KA (2016) Analysis of genetic diversity in Rose’s mountain toadlet (Capensibufo rosei) using novel microsatellite markers. Afr J Herpet 65:69–82
da Silva JM, Feldheim KA, Measey GJ, Doucette-Riise S, Daniels RJ, Chauke LF, Tolley KA (2017) Genetic diversity and differentiation of the Western Leopard Toad (Sclerophrys pantherina) based on mitochondrial and microsatellite markers. Afr J Herpet 66:25–38
Dakin EE, Avise JC (2004) Microsatellite null alleles in parentage analysis. Heredity 93:504–509
Demandt MH (2010) Temporal changes in genetic diversity of isolated populations of perch and roach. Conserv Genet 11:249
Department of Environmental Affairs and Tourism (DEAT) (2014) South Africa’s Fourth National Report to the Convention on Biodiversity, March 2014, South African National Biodiversity Institute, South African Government, Pretoria
Dornelas M, Magurran AE, Buckland ST, Chao A, Chazdon RL, Colwell RK, Curtis T, Gaston KJ, Gotelli NJ, Kosnik NJ, McGill B, McCune JL, Morlon H, Mumby PJ, Øvreås L, Studeny A, Vellend M (2013) Quantifying temporal change in biodiversity: challenges and opportunities. Proc R Soc Lond B 280:1–10
Earl DA, vonHoldt BM (2012)) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Res 4:359–361
Edwards S, Tolley KA, Measey GJ (2017) Habitat characteristics influence the breeding of Rose’s dwarf mountain toadlet Capensibufo rosei (Anura: Bufonidae). Herpet J 27:287–298
Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620
Excoffier L, Lischer H (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567
Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164:1567–1587
Forsyth GG, Kruger FJ, Le Maitre DC (2010) National Veldfire risk assessment: analysis of exposure of social, economic and environmental assets to Veldfire hazards in South Africa. CSIR Report No: CSIR/NRE/ECO/ER/2010/0023/C. CSIR Natural Resources and the Environment, Stellenbosch
Frankham R (2005) Genetics and extinction. Biol Conserv 126:131–140
Frankham R, Ballou JD, Briscoe DA (2010) Introduction to conservation genetics, 2nd edn. Cambridge University Press, Cambridge
Garza JC, Williamson EG (2001) Detection of reduction in population size using data from microsatellite loci. Mol Ecol 10:305–318
Gilbert KJ, Whitlock MC (2015) Evaluating methods for estimating local effective population size with and without migration. Evol Int J Org Evol 69:2154–2166
Grandison AGC (1980) A new genus of toad (Anura: Bufonidae) from the Republic of South Africa with remarks on its relationships. Bull Brit Mus Nat Hist (Zool) 39:293–298
Green DM (2003) The ecology of extinction: population fluctuation and decline in amphibians. Biol Conserv 111:331–343
Guo S, Thompson E (1992) Performing the exact test of Hardy-Weinberg proportion for multiple alleles. Biometrics 48:361–372
Habel JC, Schmitt T (2012) The burden of genetic diversity. Biol Conserv 147:270–274
Hawks J, Hunley K, Lee S-H, Wolpoff M (2000) Population bottlenecks and Pleistocene human evolution. Mol Biol Evol 17:2–22
Hieb EE, Nelson DH, Morris AB (2014) Genetic monitoring reveals loss of microsatellite diversity in a breeding population of the endangered Alabama red-bellied turtle. Endang Species Res 23:253–261
Hoban S, Arntzen JA, Bruford MW, Godoy JA, Hoezel AR, Segelbacher G, Vilà C, Bertorelle G (2014) Comparative evaluation of potential indicators and temporal sampling protocols for monitoring genetic erosion. Evol Appl 7:984–999
Holm S (1979) A simple sequential rejective multiple test procedure. Scand J Stat 6:65–70
Hughes AR, Stachowicz JJ (2004) Genetic diversity enhances the resistance of a seagrass ecosystem to disturbance. Proc Nat Acad Sci 101:8998–9002
Husemann M, Zachos FE, Paxton RJ, Habel JC (2016) Effective population size in ecology and evolution. Heredity 117:1–2
Hutchinson WF, van Oosterhout C, Rogers SI, Carvalho GR (2003) Temporal analysis of archived samples indicates marked genetic changes in declining North Sea cod (Gadus morhua). Proc R Soc Lond B 270:2125–2132
Jakobssen M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23:1801–1806
Jordan S, Giersch JJ, Muhlfeld CC, Hotaling S, Fanning L, Tappenbeck TH, Luikart G (2016) Loss of genetic diversity and increased subdivision in an endemic alpine stonefly threatened by climate change. PLoS ONE 11:e0157386
Kalinowski ST (2004) Counting alleles with rarefaction: private alleles and hierarchical sampling designs. Conserv Genet 5:539–543
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A (2012) Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28:1647–1649
Laikre L (2010) Genetic diversity is overlooked in international conservation policy implementation. Conserv Genet 11:349–354
Laikre L, Allendorf FW, Aroner LC, Baker CS, Gregovich DP, Hansen MM, Jackson JA, Kendall KC, Mckelvey K, Neel MC, Olivieri I, Ryman N, Schwartz MK, Bull RS, Stetz JB, Tallmon DA, Taylor BL, Vojta CD, Waller DM, Waples RS (2010) Neglect of genetic diversity in implementation of the convention on biological diversity. Conserv Biol 24:86–88
Laikre L, Lundmark C, Jansson E, WennerstrÓ§m L, Edman M, SandstrÓ§m (2016) Lack of recognition of genetic biodiversity: international policy and its implementation in Baltic Sea marine protected areas. Ambio 45:661–680
Lannoo MJ (2005) Amphibian declines: the conservation status of United States Species. University of California Press, Berkeley
Le Clerc V, Bazante F, Baril C, Guiard J, Zhang D (2005) Assessing temporal changes in genetic diversity of maize varieties using microsatellite markers. Theor Appl Genet 110:294
MacManes M (2008) MacManes salt extraction protocol. Museum of Vertebrate Zoology Evolutionary Genetics Lab, Berkeley. http://mvz.berkeley.edu/egl/protocols/extraction/MacManesSaltExtraction.pdf. Accessed 12 February 2016
McCaffery RM, Maxell BA (2010) Decreased winter severity increases viability of a montane frog population. Proc Natl Acad Sci USA 107:8644–8649
Measey GJ (ed) (2011) Ensuring a future for South Africa’s frogs: a strategy for conservation research. SANBI Biodiversity Series 19. South African National Biodiversity Institute, Pretoria
Minter LR, Burger M, Harrison JA, Braack HH, Bishop PJ, Kloepfer D (2004) Atlas and Red Data Book of the Frogs of South Africa, Lesotho and Swaziland. Smithsonian Institute, Washington, DC
Mucina L, Rutherford MC (2006) The vegetation of South Africa, Lesotho and Swaziland.Strelitzia 19. South African National Biodiversity Institute, Pretoria
Nei M (1987) Molecular evolutionary genetics. Columbia University Press, New York
Newell DA, Goldingay RL, Brooks LO (2013) Population recovery following decline in an Endangered stream-breeding frog (Mixophyes fleayi) from subtropical Africa. PLoS ONE 8:e58559
Nielsen JL, Carpanzano C, Fountain MC, Gan CA (1997) Mitochondrial DNA and nuclear microsatellite diversity in hatchery and wild Oncorhynchus mykiss from freshwater habitats in southern California. Trans Am Fish Soc 126:397–417
Oliver TH, Heard MS, Isaac NJB, Roy DB, Procter D, Eigenbrod F, Freckleton R, Hector A, Orme CDL, Petchey OL, Proença V, Raffaelli D, Suttle KB, Mace GM, Martín-López B, Woodcock BA, Bullock JM (2015) Biodiversity and resilience of ecosystem functions. Trends Ecol Evol 30:673–684
Paetkau D, Strobeck C (1995) The molecular basis and evolutionary history of a microsatellite null allele in bears. Mol Ecol 4:519–520
Peery MZ, Kirby R, Reid BN, Stoelting R, Doucet-Bëer E, Robinson S, Vásquez-Carrillo C, Pauli JN, Palsbøll PJ (2012) Reliability of genetic bottleneck tests for detecting recent population declines. Mol Ecol 21:3403–3418
Pereira HM, Ferrier S, Walters M, Geller GN, Jongman RHG, Scholes RJ, Bruford MW, Brummit N, Butchart SHM, Cardoso AC, Coops NC, Dulloo E, Faith DP, Freyhof J, Gregory RD, Heip C, HÓ§ft R, Hurtt G, Jetz W, Karp WS, McGeoch MA, Obura D, Onoda Y, Pettorelli N, Reyers B, Sayre R, Scharlemann JPW, Stuart SN, Turak E, Walpole M, Wegmann M (2013) Essential biodiversity variables. Science 339:277–278
Pertoldi C, Bijlsma R, Loeschcke V (2007) Conservation genetics in a globally changing environment: present problems, paradoxes and future challenges. Biodivers Conserv 16:4147–4163
Potvin DA, Parris KM, Smith Date KL, Keely CC, Bray RD, Hale J, Hunjan S, Austin JJ, Melville J (2016) Genetic erosion and escalating extinction risk in frogs with increasing wildlife frequency. J App Ecol. doi:10.1111/1365-2664.12809
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959
Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86:248–249
Reusch TBH, Ehlers A, Hämmerli A, Worm B (2005) Ecosystem recovery after climatic extremes enhanced by genotypic diversity. Proc Nat Acad Sci USA 102:2826–2831
Rice WR (1989) Analyzing tables of statistical tests. Evol Int J Org Evol 43:223–225
Rodrigáñez J, Barragán C, Alves E, Gortázar C, Toro MA, Silió (2008) Genetic diversity and allelic richness in Spanish wild and domestic pig population estimated from microsatellite markers. Span J Agric Res 6:107–115
Roger F, Godhe A, Gamfeldt L (2012) Genetic diversity and ecosystem functioning in the face of multiple stressors. PLoS ONE 7:e45007
Roques S, Duchesne P, Bernatchez L (1999) Potential of microsatellites for individual assignment: the North Atlantic redfish (genus Sebastes) species complex as a case study. Mol Ecol 8:1703–1717
Rosenberg NA (2004) Distruct: a program for the graphical display of population structure. Mol Ecol Notes 4:137–138
Roth S, Jehle R (2016) High genetic diversity of common toad (Bufo bufo) populations under strong natural fragmentation on a Northern archipelago. Ecol Evol 6:1626–1636
Rousset F (2008) Genepop’007: a complete reimplementation of the Genepop software for Windows and Linux. Mol Ecol Resour 8:103–106
Schwartz MK, Luikart G, Waples RS (2007) Genetic monitoring as a promising tool for conservation and management. Trends Ecol Evol 22:25–33
Shaffer ML (1981) Minimum population sizes for species conservation. Bioscience 31:131–134
Skead CJ (1980) Historical mammal incidence in the Cape Province, vol 1. Department of Nature and Environmental Conservation, Cape Town
Slatkin M (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139:457–462
Sork VL, Davis FW, Smouse PE, Apsit VJ, Dyer RJ, Fernandez-M JF, Kuhn B (2002) Pollen movement in declining populations of California Valley oak, Quercus lobata: where have all the fathers gone? Mol Ecol 11:1657–1668
South African Frog Re-assessment Group (SA-FRoG), IUCN SSC Amphibian Specialist Group (2010) Capensibufo rosei. The IUCN Red List of Threatened Species 2010: e.T3776A10070549. http://dx.doi.org/10.2305/IUCN.UK.2010-3.RLTS.T3776A10070549.en. Accessed 21 November 2016
Spielman D, Brook BW, Frankham R (2004) Most species are not driven to extinction before genetic factors impact them. Proc Nat Acad Sci USA 101:15261–15264
Szpiech ZA, Jakobsson M, Rosenberg NA (2008) ADZE: a rarefaction approach for counting alleles private to combinations of populations. Bioinformatics 24:2498–2504
Tittensor DP, Walpole M, Hill SLL et al (2014) A mid-term analysis of progress toward international biodiversity targets. Science 346:241–244
Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538
Walpole M, Almond REA, Besançon C, Butchart SHM, Campbell-Lendrum D, Carr GM, Collen B, Collette L, Davidson NC, Dulloo E, Fazel AM, Galloway JN, Gill M, Goverse T, Hockings M, Leaman DJ, Morgan DHW, Revenga C, Rickwood CJ, Schutyser F, Simons S, Stattersfield AJ, Tyrrell TD, Vié JC, Zimsky M (2009) Tracking progress toward the 2010 biodiversity target and beyond. Science 325:1503–1504
Wang J, Whitlock MC, Anderson EC et al (2003) Estimating effective population size and migration rates from genetic samples over space and time. Genetics 163:429–446
Wang J, Santiago E, Caballero A (2016) Prediction and estimation of effective population size. Heredity 117:1–14
Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population-structure. Evol Int J Org Evol 38:1358–1370
Wilkinson JW, Beebee TJC, Giffiths RA (2007) Conservation genetics of an island toad: Bufo bufo in Jersey. Herpetol J 17:192–198
Willoughby JR, Sundaram M, Wijayawardena BK, Kimble SJA, Ji Y, Fernandez NB, Antonides JD, Lamb MC, Marra NC, DeWoody JA (2015) The reduction of genetic diversity in threatened vertebrates and new recommendations regarding IUCN conservation rankings. Biol Conserv 191:495–503
Wright S (1931) Evolution in Mendelian populations. Genetics 16:97–159
Wu X-B, Hu Y-L (2010) Genetic diversity and molecular differentiation of Chinese toad based on microsatellite markers. Mol Biol Rep 37:2379–2386
Acknowledgements
This work was funded the National Research Foundation (NRF) of South Africa (NRF Incentive Funds IPRR: IFR2011040500035) and by the South African National Biodiversity Institute (National Monitoring Framework). We are grateful to South African National Parks (Table Mountain National Park), J. Measey and F. Becker for support during the collection of samples, J. Wang for his assistance with the program MLNE, as well as A. R. Hoezel for his input and feedback with our DIYABC analysis. Lastly, we thank two anonymous reviewers for their comments, who helped improve the manuscript. This work was carried out under South African National Biodiversity Institute Ethics Clearance (No. 003/2011), Research Agreement with South African National Parks, and Western Cape provincial permits (CapeNature: 0056-AA008-00021).
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da Silva, J.M., Tolley, K.A. Conservation genetics of an endemic and threatened amphibian (Capensibufo rosei): a leap towards establishing a genetic monitoring framework. Conserv Genet 19, 349–363 (2018). https://doi.org/10.1007/s10592-017-1008-9
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DOI: https://doi.org/10.1007/s10592-017-1008-9
Keywords
- Africa
- Bufonidae
- Genetic monitoring
- Rose’s mountain toadlet