[en] We investigated how landscape affects the population genetic structure and the dispersal of the elusive European otter Lutra lutra in a contemporary colonization context, over several generations and at the level of hydrographic basins. Our study area included 10 basins located in the Cevennes National Park (CNP), at the southern front of the natural otter recovery in France. Each basin comprised 50 to 300 km of permanent rivers that were surveyed for otter presence from 1991 to 2005. Faecal samples collected in 2004 and 2005 in this area were genotyped at 9 microsatellite loci, resulting in the identification of 70 genetically distinct individuals. Bayesian clustering methods were used to infer genetic structure of the populations and to compare recent gene flow to the observed colonization. At the regional level, we identified 2 distinct genetic clusters (NE and SW; FST=0.102) partially separated by ridges, suggesting that the CNP was recolonized by 2 genetically distinct otter populations. At the basin level, the genetic distance between groups of individuals in different basins was positively correlated to the mean slope separating these basins. The probable origins and directions of individual movements (i.e. migration between clusters and basin colonization inside clusters) were inferred from assignment tests. This approach shows that steep and dry lands can stop, impede or divert the dispersal of a mobile carnivore such as the otter.
Disciplines :
Zoology
Author, co-author :
Janssens, Xavier
Fontaine, Michael C
Michaux, Johan ; Université de Liège - ULiège > Département des sciences de la vie > Génétique
Libois, Roland ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Zoogéographie - Département des sciences et gestion de l'environnement
de Kermabon, Jean
Defourny, Pierre
Baret, Philippe V
Language :
English
Title :
Genetic pattern of the recent recovery of European otters in southern France
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Barbosa, A. M. et al. 2003. Otter (Lutra lutra) distribution modeling at two resolution scales suited to conservation planning in the Iberian Peninsula Biol. Conserv. 114 : 377 387.
Blundell, G. M. et al. 2002. Characteristics of sex biased dispersal and gene flow in coastal river otters: implications for natural recolonization of extirpated populations Mol. Ecol. 11 : 289 303.
Cassens, I. et al. 2000. Mitochondrial DNA variation in the European otter (Lutra lutra) and the use of spatial autocorrelation analysis in conservation J. Hered. 91 : 31 35.
Chanin, P. R. F. 2003. Ecology of the European otter Conserving Natura 2000 Rivers Ecology Series No. 10. English Nature, Peterborough.
Clobert, J. et al. 2001. Dispersal. Oxford Univ. Press.
Coulon, A. et al. 2006. Genetic structure is influenced by landscape features: empirical evidence from a roe deer population Mol. Ecol. 15 : 1669 1679.
Dallas, J. F. Piertney, S. B. 1998. Microsatellite primers for the Eurasian otter Mol. Ecol. 7 : 1248 1251.
Dallas, J. F. et al. 1999. Genetic diversity in the Eurasian otter, Lutra lutra, in Scotland. Evidence from microsatellite polymorphism Biol. J. Linn. Soc. 68 : 73 86.
Dallas, J. F. et al. 2000. Sex identification of the Eurasian otter Lutra lutra by PCR typing of spraints Conserv. Genet. 1 : 181 183.
Dallas, J. F. et al. 2002. Spatially restricted gene flow and reduced microsatellite polymorphism in the Eurasian otter Lutra lutra in Britain Conserv. Genet. 3 : 15 29.
Dallas, J. F. et al. 2003. Similar estimates of population genetic composition and sex ratio derived from carcasses and faeces of Eurasian otter Lutra lutra Mol. Ecol. 12 : 275 282.
Erlinge, S. 1967. Home range of the otter Lutra lutra L Oikos 18 : 186 209.
Falush, D. et al. 2003. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies Genetics 164 : 1567 1587.
Fonderflick, J. et al. 1995. Evolution récente du statut de la loutre dans le Parc National des Cévennes Cahiers d'Ethologie 15 : 233 238.
Gagneux, P. et al. 1997. Microsatellite scoring errors associated with noninvasive genotyping based on nuclear DNA amplified from shed hair Mol. Ecol. 6 : 861 868.
Guillot, G. et al. 2005a. A spatial statistical model for landscape genetics Genetics 170 : 1261 1280.
Guillot, G. et al. 2005b. GENELAND: a computer package for landscape genetics Mol. Ecol. Not. 5 : 712 715.
Hardy, O. J. Vekemans, X. 2002. SPAGEDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels Mol. Ecol. Not. 2 : 618 620.
Hauer, S. et al. 2002. Mortality patterns of otters (Lutra lutra) from eastern Germany J. Zool. 256 : 361 368.
Hirzel, A. H. et al. 2004. Ecological requirements of reintroduced species and the implications for release policy: the case of the bearded vulture J. Appl. Ecol. 41 : 1103 1116.
Hung, C. M. et al. 2004. Faecal DNA typing to determine the abundance and spatial organisation of otters (Lutra lutra) along two stream systems in Kinmen Anim. Conserv. 7 : 301 311.
Hutchison, D. W. Templeton, A. R. 1999. Correlation of pairwise genetic and geographic distance measures: inferring the relative influences of gene flow and drift on the distribution of genetic variability Evolution 53 : 1898 1914.
Janssens, X. et al. 2006. The recovery of the otter in the Cevennes (France): a GIS-based model Hystrix Italian J. Mammal. 17 : 5 14.
Kaphegyi, T. A. M. et al. 2006. Status of the Eurasian lynx (Lynx lynx) in the Black Forest region, south western Germany Mammal. Biol. 71 : 172 177.
King, A. W. With, K. A. 2002. Dispersal success on spatially structured landscapes: when do spatial pattern and dispersal behavior really matter? Ecol. Model. 147 : 23 39.
Kruuk, H. 1995. Wild otters. Predation and populations. Oxford Univ. Press.
Lucchini, V. et al. 2002. Non invasive molecular tracking of colonizing wolf (Canis lupus) packs in the western Italian Alps Mol. Ecol. 11 : 857 868.
Manel, S. et al. 2003. Landscape genetics: combining landscape ecology and population genetics Trends Ecol. Evol. 18 : 189 197.
Manel, S. et al. 2005. Assignment methods: matching biological questions techniques with appropriate Trends Ecol. Evol. 20 : 136 142.
Mech, L. D. Barber, S. M. 2002. A critique of wildlife radio-tracking and its use in National Parks. A report to the U.S. National Park Service. Biological Resources Division, U.S., Geological Survey, Saint Paul, USA.
Nei, M. 1978. Estimation of average heterozygosity and genetic distance from a small number of individuals Genetics 89 : 583 590.
Paetkau, D. et al. 2004. Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power Mol. Ecol. 13 : 55 65.
Piry, S. et al. 2004. GENECLASS2: a software for genetic assignment and first-generation migrant detection J. Hered. 95 : 536 539.
Pope, L. C. et al. 2006. Isolation by distance and gene flow in the Eurasian badger (Meles meles) at both a local and broad scale Mol. Ecol. 15 : 371 386.
Prigioni, C. et al. 2005. Distribution and sprainting activity of the otter (Lutra lutra) in the Pollino National Park (southern Italy) Ethol. Ecol. Evol. 17 : 171 180.
Pritchard, J. K. Wen, W. 2004. Documentation for STRUCTURE software version 2. Dept of Human Genetics, Univ. of Chicago, USA.
Pritchard, J. K. et al. 2000. Inference of population structure using multilocus genotype data Genetics 155 : 945 959.
Randi, E. et al. 2003. Genetic structure in otter (Lutra lutra) populations in Europe: implications for conservation Anim. Conserv. 6 : 93 100.
Raymond, M. Rousset, F. 1995. An exact test for population differentiation Evolution 49 : 1280 1283.
Reuther, C. 2004. On the way towards an otter habitat network Europe (OHNE). Method and results of an area assessment on the European and the German level Habitat 15, Hankensbüttel.
Ricklefs, R. E. Miller, G. L. 2000. Ecology. W. H. Freeman.
Rosenberg, D. K. et al. 1995. Towards a definition of biological corridor Bissonette, J. A. Krausman, P. R. International Wildlife Management Congress. The Wildlife Society, Bethesda, MD 436 439.
Rosoux, R. Green, J. 2004. La loutre Belin eds, Paris.
Rousset, F. 2000. Genetic differentiation between individuals J. Evol. Biol. 13 : 58 62.
Rueness, E. K. et al. 2003. Cryptic population structure in a large, mobile mammalian predator: the Scandinavian lynx Mol. Ecol. 12 : 2623 2633.
Saavedra, D. 2002. Reintroduction of the Eurasian otter (Lutra lutra) in Muga and Fluvia basins (north-eastern Spain): viability, developement, monitoring and trends of the new population Ph. D. thesis, Dept de Ciències Ambientals, Univ. de Girona, Spain.
Sabatier, M. 1994. Cevennes de toutes eaux. - Cévennes 50-52: 1-108.
Schwartz, M. K. et al. 2007. Genetic monitoring: a promising tool for conservation and management Trends Ecol. Evol. 22 : 25 33.
Sokal, R. R. Rohlf, F. J. 1998. Biometry. W. H. Freeman.
Sutherland, W. J. 1996. Ecological census techniques - a handbook. Cambridge Univ. Press.
Taberlet, P. et al. 1996. Reliable genotyping of samples with very low DNA quantities using PCR Nucleic Acids Res. 24 : 3189 3194.
Vandel, J. M. et al. 2006. Reintroduction of the lynx into the Vosges mountain massif: from animal survival and movements to population development Biol. Conserv. 131 : 370 385.
Waits, L. P. Paetkau, D. 2005. Noninvasive genetic sampling tools for wildlife biologists: a review of applications and recommendations for accurate data collection J. Wildl. Manage. 69 : 1419 1433.
Waits, L. P. et al. 2001. Estimating the probability of identity among genotypes in natural populations: cautions and guidelines Mol. Ecol. 10 : 249 256.
Walker, C. W. et al. 2001. Genetic variation and population structure in Scandinavian wolverine (Gulo gulo) populations Mol. Ecol. 10 : 53 63.
Weir, B. S. Cockerham, C. C. 1984. Estimating F-statistics for the analysis of population structure Evolution 38 : 1358 1370.
White, P. C. L. et al. 2003. Factors affecting the success of an otter (Lutra lutra) reinforcement programme, as identified by post-translocation monitoring Biol. Conserv. 112 : 363 371.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.