Abstract
The Brown Bear (Ursus arctos) population present in the Cantabrian Mountains has suffered a dramatic decline in recent centuries and is now threatened with extinction. This situation has led to the development and implementation of a species recovery plan. To accomplish this plan, we need to improve our knowledge about the ecology, demography and genetics of this population. This paper presents the genetic analysis of the Cantabrian brown bear population using non-invasive samples (faeces and hairs) collected between 2004 and 2006. It was necessary to optimize a set of 18 microsatellite loci and a sex marker (several new multiplex reactions were developed) to obtain a suitable probability of identity among genotypes to work with this small, deeply structured population. Genotyping of 48 individuals was carried out using a two-step PCR protocol to increase the quality of the multilocus genotypes. Validation of genotypes was performed using a multi-tube approach combined with different software programmes to measure their error rate and reliability. Diversity in the Cantabrian population was low (H e = 0.51) and the population was markedly subdivided into two subpopulations (western and eastern) without current gene flow between them. The level of divergence between the two subpopulations (F st = 0.41) and the extremely low diversity in the eastern group (H e = 0.25) indicate that this has had an extremely low effective population size and had been isolated from the main group during the last century. Connectivity between the two subpopulations will be of prime importance for the long-term survival of this species in the Cantabrian Mountains.
Similar content being viewed by others
References
Allen M, Engström AS, Meyers S et al (1998) Mitochondrial DNA sequencing of shed hairs and saliva on robbery caps: sensitivity and matching probabilities. J Forensic Sci 43:453–464
Allendorf FW, Servheen C (1986) Genetics and the conservation of grizzly bears. Trends Ecol Evol 1:88–89
Bayes MK, Smith KL, Alberts SC, Brudford MW (2000) Testing the reliability of microsatellite typing from faecal DNA in the savannah baboon. Conserv Genet 1:173–176
Belkhir K, Borsa P, Chikhi L, Raufaste N, Bonhomme F (1996–2004) GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier (France)
Bellemain E, Taberlet P (2004) Improved noninvasive genotyping method: application to brown bear (Ursus arctos) faeces. Mol Ecol Notes 4:519–522
Bellemain E, Nawaz MA, Valentini A, Swenson JE, Taberlet P (2007) Genetic tracking of the brown bear in northern Pakistan and implications for conservation. Biol Conserv 134:537–547
Bergl RA, Vigilant L (2007) Genetic analysis reveals population structure and recent migration within the highly fragmented range of the Cross River gorilla (Gorilla gorilla diehli). Mol Ecol 16:501–516
Bjilsma R, Bundgaard J, Boerema A (2000) Does inbreeding affect the extinction risk of small population? Predictions from Drosophila. J Evol Biol 13:502–514
Bonin A, Bellemain E, Eidesen PB et al (2004) How to track and assess genotyping errors in population genetics studies. Mol Ecol 13:3261–3273
Chu JH, Lin YS, Wu HY (2006) Applicability of non-invasive sampling in population genetic study of Taiwanese macaques (Macaca cyclopis). Taiwania 51:258–265
Coulon A, Cosson JF, Angibault JM et al (2004) Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach. Mol Ecol 13:2841–2850
Craighead L, Paetkau D, Reynolds HV, Vyse ER, Strobeck C (1995) Microsatellite analysis of paternity and reproduction in Artic grizzly bears. J Hered 86:255–261
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
Frankham R, Franklin IR (1998) Response to Lynch and Lande. Anim Conserv 1:73
Franklin IR (1980) Evolutionary change in small populations. In: Soulé ME, Wilcox BA (eds) Conservation biology: an evolutionary-ecological perspective. Sinauer, Sunderland, MA, pp 135–150
Frantz AC, Pope LC, Carpenter PJ et al (2003) Reliable microsatellite genotyping of the Eurasian badger (Meles meles) using faecal DNA. Mol Ecol 12:1649–1661
Hanski IA, Gilpin M (1997) Metapopulation biology: ecology and evolution. Academic Press, Toronto
Keller L, Arcese P, Smith J, Hochachka WM, Stearns SC (1994) Selection against inbred song sparrows during a natural population bottleneck. Nature 372:356–357
Kohn MH, York EC, Kamradt DA et al (1999) Estimating population size by genotyping faeces. Proc R Soc Lond B 266:657–663
Kraaijeveld-Smith FLJ, Beebee TJC, Griffiths RA, Moore RD, Schley L (2005) Low gene flow but high genetic diversity in the threatened Mallorcan midwife toad Alytes muletensis. Mol Ecol 14:3307–3315
Lacy RC (1997) The importance of genetic variation to the viability of mammalian populations. J Mammal 78:320–335
Lande R, Barrowclough G (1987) Effective population size, genetic variation and their use in population management. In: Soulé ME (ed) Viable populations for conservation. Cambridge University Press, New York, pp 87–123
Lynch M, Lande R (1998) The critical effective size for a genetically secure population. Anim Conserv 1:70–72
McKelvey KS, Schwartz MK (2004) Genetic errors associated with population estimation using non-invasive molecular tagging: problems and new solutions. J Wildl Manage 68:439–448
Miller CR, Waits LP (2003) The history of effective population size and genetic diversity in the Yellowstone grizzly (Ursus arctos): implication for conservation. Proc Natl Acad Sci USA 7:4334–4339
Miller CR, Joyce P, Waits LP (2002) Assessing allelic drop-out and genotype reliability using maximum likelihood. Genetics 160:357–366
Moritz C (1994) Defining ‘Evolutionary significant units’ for conservation. Trends Ecol Evol 9:373–375
Naves J, Nores C (1997) Status of the brown bear in western Cantabria, Spain. In: Servheen C, Herrero S, Peyton B (eds) Bears: status survey, conservation action plan. International Union for the Conservation of Nature, Natural Resources. Gland, Switzerland, pp 104–111
Naves J, Wiegand T, Fernandez A, Stephan T (1999) Riesgo de extinción del oso pardo cantábrico La población occidental. Fundación Oso de Asturias, Oviedo, Spain
Naves J, Wiegand T, Revilla E, Delibes M (2003) Endangered species constrained by natural and human factors: the case of brown bears in northern Spain. Conserv Biol 17:1276–1286
Nei M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583–590
Nsubuga AM, Robbins MM, Roeder AD et al (2004) Factors affecting the amount of genomic DNA extracted from ape faeces and the identification of an improved sample storage method. Mol Ecol 13:2089–2094
Paetkau D, Strobeck C (1994) Microsatellite analysis of genetic variation in black bear populations. Mol Ecol 3:489–495
Paetkau D, Calvert W, Stirling I, Strobeck C (1995) Microsatellite analysis of population structure in Canadian polar bears. Mol Ecol 4:347–354
Paetkau D, Waits LP, Clarkson P et al (1998) Variation in genetic diversity across the range of North American brown bears. Conserv Biol 12:418–429
Piggot M, Bellemain E, Taberlet P, Taylor AC (2004) A multiplex pre-amplification method that significantly improves microsatellite amplification and error rates for faecal DNA in limiting conditions. Conserv Genet 5:417–420
Pritchard JK, Stephens P, 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
Roeder AD, Archer FI, Poinar HN, Morin PA (2004) A novel method for collection and preservation of faeces for genetic studies. Mol Ecol Notes 4:761–764
Servheen C (1990) The status and conservation of the bears of the world. In: International conference of bear research and management monography series, vol. 2, pp. 1–32
Sherwin WB, Moritz C (2000) Managing and monitoring genetic erosion. In: Young AJ, Clarke G (eds) Demography genetics viability of fragmented populations. Cambridge University Press, New York
Simberloff D (1988) The contribution of population and community biology to conservation science. Annu Rev Ecol Syst 19:473–511
Smith DA, Ralls K, Hurt A et al (2006) Assessing reliability of microsatellite genotypes from kit fox faecal samples using genetic and GIS analyses. Mol Ecol 15:387–406
Sokal RR, Rohlf FJ (1994) Biometry: the principles and practice of statistics in biological research. WH Freeman, New York
Soulé ME (ed) (1987) Viable populations for conservation. Cambridge University Press, Cambridge, UK
Taberlet P, Bouvet J (1994) Mitochondrial DNA polymorphism, phylogeography, and conservation genetics of the brown bear (Ursus arctos) in Europe. Proc R Soc Lond B 255:195–200
Taberlet P, Luikart G (1999) Non-invasive genetic sampling and individual identification. Biol J Linn Soc 68:41–55
Taberlet P, Griffin S, Goossens B et al (1996) Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Res 26:3189–3194
Taberlet P, Camarra JJ, Griffin S et al (1997) Noninvasive genetic tracking of the endangered Pyrenean brown bear population. Mol Ecol 6:869–876
Taberlet P, Waits LP, Luikart G (1999) Noninvasive genetic sampling: look before you leap. Trends Ecol Evol 14:323–327
Taylor BL, Dizon AE (1999) First policy then science: why a management unit based solely on genetic criteria cannot work. Mol Ecol 8:S11–S16
Valière N (2002) GIMLET, a computer program for analyzing genetic individual identification data. Mol Ecol Notes 2:377–379
Vigilant L (1999) An evaluation of techniques for the extraction and amplification of DNA from naturally shed hairs. Biol Chem 380:1329–1331
Waits LP, Talbot S, Ward RH, Shields GF (1998) Mitochondrial DNA phylogeography of the North American brown bear and implications for conservation. Conserv Biol 12:408–417
Waits LP, Taberlet P, Swenson JE, Sandegren F (2000) Nuclear DNA microsatellite analysis of genetic diversity and gene flow in the Scandinavian brown bear (Ursus arctos). Mol Ecol 9:421–431
Waits LP, Luikart G, Taberlet P (2001) Estimating the probability of identity among genotypes in natural populations: cautions and guidelines. Mol Ecol 10:249–256
Weir BS (1996) Genetic data analysis II. Sinauer Associates Inc., Massachusetts
Wiegand T, Naves J, Stephan T, Fernández A (1998) Assessing the risk of extinction for the brown bear (Ursus arctos) in the Cordillera Cantabrica, Spain. Ecol Monogr 68:539–571
Woods JG, Paetkau D, Lewis D et al (1999) Genetic tagging of free-ranging black and brown bears. Wildl Soc B 27:616–627
Zedrosser A, Dahle B, Swenson JE, Gerstl N (2001) Status and management of the brown bear in Europe. Ursus 12:9–20
Acknowledgements
This work was funded by Grant CN-05-030 from the “Consejería de Medio Ambiente y Ordenación del Territorio e Infraestructuras del Principado de Asturias” We wish to thank the “Junta de Castilla y León” for their economic support and for providing some of the samples; Miguel Rico, Juan Seijas and the “Guardería Rural del Principado de Asturias”, who also provided samples; Dr. Lissette Waits and the two anonymous reviewers who helped to improve this manuscript with their valuable comments, and Paul Barnes, who thoroughly reviewed the English.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pérez, T., Vázquez, F., Naves, J. et al. Non-invasive genetic study of the endangered Cantabrian brown bear (Ursus arctos). Conserv Genet 10, 291–301 (2009). https://doi.org/10.1007/s10592-008-9578-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10592-008-9578-1