Laboratoire d'Ecologie Alpine

Le CNRS
Accueil EDD
Autres sites CNRS
 
 
Oscar GAGGIOTTI
Professeur

Tel. : +33(0)4 76 51 44 97


Courriel : oscar.gaggiotti@ujf-grenoble.fr

CV

Research

Publications

Current Projects and collaborations :


INTERCROSSING: Innovative Training for Researchers Combining the Resources of Statistical Science, Informatics and Genetics.
Marie Curie Initial Training Network, European Commission, FP7

CONGRESS: Conservation of Genetic Resources for Effective Species Survival
Knowledge Transfer and Uptake of EU Research Results, European Commission, FP7

Publications (since 2004):

The full list is available here.

35. Bellemain E, OE Gaggiotti, A Fahey, E Bermingham, RE Ricklefs. 2012. Demographic history and genetic diversity in Coereba flaveola populations in the West Indies, Genetica, (accepted)

34. Fernandez JG, OE Gaggiotti and P Mirol, 2012. The evolution of a highly speciose group in a changing environment: are we witnessing speciation in the Ibera wetlands? Molecular Ecology, 21: 3266-3282.

33. Andrello M, F Nicolè, I Till-Bottraud and OE Gaggiotti, 2012. The effect of stage-specific vital rates on population growth and effective population size: a numerical elasticity approach, Conservation Biology, 26:208-217.

32. Hoban, S, G Bertorelle and OE Gaggiotti, 2012. Computer simulations: tools for population and evolutionary genetics, Nature Reviews Genetics, 13: 110-122.

31. Meirmans P, J Goudet, Intrabiodiv Consortium and OE Gaggiotti, 2011. Ecology and life-history affect different aspects of the population structure of 27 high-alpine plants, Molecular Ecology, 20: 3144–3155.

30. Gaggiotti, OE, 2011. Making inferences about speciation using sophisticated statistical genetics methods: Look before you leap. Molecular Ecology 20: 2229–2232.

29. Safner T, C Miaud, OE Gaggiotti, S Decout, D Rioux, S Zundel, S Manel, 2011, Combining demography and genetic analysis to assess the population structure of an amphibian in a human-dominated landscape, Conservation Genetics, 12:161-173.

28. Gaggiotti, OE, 2010. Bayesian statistical treatment of the fluorescence of AFLP bands leads to accurate genetic structure inference. Molecular Ecology 19:4586-4588.

27. Gaggiotti OE and M Foll, 2010, Quantifying population structure with the F-model, Molecular Ecology Resources, 10:821-830.

26. Gaggiotti OE 2010. Preface to the special issue: advances in the analysis of spatial genetic data, Molecular Ecology Resources, 10:757-759.

25. Csilléry K, MGB. Blum, OE Gaggiotti, O François, 2010, Invalid arguments against ABC: A reply to AR Templeton. Trends in Ecology & Evolution, 25: 490-491.

24. Csilléry K., MGB Blum, OE Gaggiotti, O François, 2010, Approximate Bayesian Computation (ABC) in practice, Trends in Ecology & Evolution, 25, 410-418.

23. Beaumont M, R Nielsen, C Robert, J Hey, OE Gaggiotti, L Knowles, A Estoup, M Panchal, J Corander, M Hickerson, S Sisson, N Fagundes, L Chikhi, P Beerli, R Vitalis, J-M Cornuet, J Huelsenbeck, J Novembre, M Foll, Z Yang, F Rousset , D Balding , L Excoffier. 2010. In defense of model-based inference in phylogeography, Molecular Ecology 19, 436–446.

22. Mora, MS, FJ Mapelli, OE Gaggiotti, EP Lessa, and MJ Kittlein. 2010. Dispersal and population structure in the subterranean rodent Ctenomys australis: influence of the spatial scale and habitat configuration, BMC Genetics 11:9.

21. Gaggiotti, OE, D. Bekkevold, HBJ Jørgensen, M Foll, GR Carvalho, C Andre and DE Ruzzante, 2009 Disentangling the effects of evolutionary, demographic and environmental factors influencing the genetic structure of natural populations: Atlantic herring as a case study. Evolution 63 :2939-2951.

20. Durand E, F Jay, OE Gaggiotti and O François, 2009. Spatial inference of admixture proportions and secondary contact zones. Molecular Biology and Evolution 26:1963-1973.

19. Naderi, S., H-R. Rezaei, F. Pompanon, M.G.B. Blum, R. Negrini, H-R. Naghash, Ö. Balkız, M. Mashkour, O.E. Gaggiotti, P. Ajmone-Marsan, A. Kence, J-D. Vigne, P. Taberlet, 2008. Genetic evidence for a large scale domestication in goats. Proceedings of the National Academy of Sciences 105:17659-17664.

18. Foll, M. and O.E. Gaggiotti, 2008. Estimating selection with different markers and varying demographic scenarios: a Bayesian perspective. Genetics 180:977-993.

17. Kittlein, M. & O.E. Gaggiotti, 2008. Interactions between environmental factors can preclude the detection of isolation by distance patterns: A case study of Ctenomys rionegrensis in Uruguay, Proceedings of the Royal Society of London. 275: 2633–2638.

16. Foll, M, M.A. Baumont and O.E. Gaggiotti, 2008. An Approximate Bayesian Computation approach to overcome biases that arise when using AFLP markers to study population structure. Genetics 179:927-939.

15. Faubet P. and O.E. Gaggiotti, 2008. A new Bayesian method to identify the environmental factors that influence recent migration. Genetics 178:1491-1504.

14. Nichols C., J. Herman, O.E. Gaggiotti, K.M. Dobney, K. Parsons and A. R. Hoelzel, 2007. Genetic isolation of a now extinct population of bottlenose dolphins (Tursiops truncatus). Proceedings of the Royal Society of London 274: 1611-1616.

13. Faubet P, R.S. Waples, and O.E. Gaggiotti, 2007. Evaluating the performance of a multilocus Bayesian method for the estimation of migration rates. Molecular Ecology 16: 1149-1166.

12. Foll, M., and O.E. Gaggiotti, 2006. Identifying the environmental factors that determine the genetic structure of Populations. Genetics 174: 875-891.

11. Gaggiotti, OE. 2006. Where the Vikings immune to HIV? Heredity, 96: 280-281.

10. Till-Bottraud, I., and O. E. Gaggiotti, 2006. Going back to Darwin's works. Trends in Plant Science 11: 471-472.

9. Waples, RS and OE Gaggiotti. 2006. What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity. Molecular Ecology, 15:1419-1439.

8. Kankare, M, S van Nouhuys, OE Gaggiotti and I. Hanski. 2005. Metapopulation genetic structure of two coexisting parasitoids of the Glanville fritillary butterfly. Oecologia, 143: 77-84.

7. Foll, M and OE Gaggiotti. 2005. COLONISE: a computer program to study colonization processes in metapopulations. Molecular Ecology Notes, 5:705-707. Download software.

6. Manel S., Gaggiotti OE and R. Waples. 2005 Assignment methods: matching biological questions with appropriate techniques. Trends in Ecology and Evolution, 20: 136-142.

5. Hanski, I. and OE Gaggiotti (Eds.) 2004. Ecology, Genetics, and Evolution of Metapopulations. 696p. Academic Press, San Diego, USA.

4. Gaggiotti, OE, SP Brooks, W. Amos and J. Harwood. 2004. Combining demographic, environmental and genetic data to test hypothesis about colonization events in metapopulations. Molecular Ecology 13: 811-825.

3. Hanski, I et OE Gaggiotti. 2004. Metapopulation biology: past, present, and future, in Ecology, Genetics, and Evolution of Metapopulations, I. Hanksi et OE Gaggiotti (eds.), pp. 3-22. Academic Press, San Diego, USA.

2. Gaggiotti OE et I Hanski. 2004. Mechanisms of population extinction, in Ecology, Genetics, and Evolution of Metapopulations, I. Hanksi et OE Gaggiotti (eds.), pp. 337-366. Academic Press, San Diego, USA.

1. Gaggiotti OE 2004. Multilocus Genotype Methods for the study of Metapopulation Processes, in Ecology, Genetics, and Evolution of Metapopulations, I Hanksi et OE Gaggiotti (eds.), pp. 367-386. Academic Press, San Diego, USA.


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