PP10 posterNeve

Population genetics aspects of colonisation : The case of the Bog Fritillary Butterfly (Proclossiana eunomia): 

Population genetics aspects of colonisation : The case of the Bog Fritillary Butterfly (Proclossiana eunomia) Gabriel Nève1, Alois Pavlicko2 & Martin Konvicka3 1 EA EGEE, Marseille 2 Sumava National Park, Czech Republic 3 Institute of Entomology, Academy of Sciences of the Czech Republic

Slide2: 

“Everything is related to everything else, but near things are more related than distant things.” Waldo Tobler, 1970

Slide3: 

“Everything is related to everything else, but near things are more related than distant things.” Waldo Tobler, 1970 How are populations spatially structured ? How does this population structure emerge ?

Slide4: 

Proclossiana eunomia Lepidoptera Nymphalidae

Proclossiana eunomia European distribution: 

Proclossiana eunomia European distribution Sumava Mts (CZ)

11 Sampling locations in Czech Republic: 

11 Sampling locations in Czech Republic 10 Source population Post 1980 populations

Source habitat patch : Mrtvy Luh: 

Source habitat patch : Mrtvy Luh

Methods: 

Methods Allozyme electrophoresis on 274 individuals (11 populations) on 5 loci. Results Fst=0.0980 : moderate population differenciation

Population differentiation: 

Population differentiation Groups of Populations, low heterozygocities SOURCE SYSTEM

Slide10: 

Fst=1/(4Nm+1) Fst : between- populations inbreeding coefficient Nm : number of migrants per generation Isolation by distance effect P<0.001, Mantel test

Proclossiana eunomia studied regions: 

Proclossiana eunomia studied regions

Slide12: 

Isolation by distance NS 25 years colonization events P<0.001 Colonization may lead quickly to isolation by distance effect

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Isolation by distance effect Hills Low Mountains High Mountains Weak Strong

Conclusions: 

Conclusions Colonization events may lead quickly to spatial population structure The strength of the isolation by distance effects depends on ecological barriers Conservation efforts should be directed towards core population systems

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dispersal curve distance dispersal probability mountains Genetic neighbourhood Isolation by distance effect H<M H<M

Slide17: 

dispersal curve distance dispersal probability mountains

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Ardennes y = -0,0942x + 1,5978 -1 0 1 2 3 4 5 6 -1 1 3 5 log geographical distance (km) Morvan [y = -0,0219x + 0,9609 : NS] -1 0 1 2 3 4 5 6 -1 1 3 5 log geographical distance (km) Pyrénées y = -0,8472x + 3,6694 -1 0 1 2 3 4 5 6 -1 1 3 5 log geographical distance (km) Asturias y = -1,0063x + 4,2286 -1 0 1 2 3 4 5 6 -1 1 3 5 log geographical distance (km)

Slide19: 

-1 -0,5 0 0,5 1 0 20 40 60 80 100 120 Geographical distance (km) Moran's I 6PGD AK PGM Ardenne Spatial autocorrelation of allele frequencies

Slide20: 

Pyrenees -1 -0,5 0 0,5 1 0 20 40 60 80 100 120 Geographical distance (km) Moran's I 6PGD AK PGM Ardenne Spatial autocorrelation of allele frequencies Filled symbols : P<0.05