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Centre for Genetic Resources The Netherlands

  1. Marleen Cobben Centre for Genetic Resources The Netherlands CGN, met goede opmaak
  2. Postdoc at CGN The effects of climate change on wild relatives of crops important for European breeders
  3. Starting with gap analysis • Using gap analysis and GCM to assess future habitat areas for CWR • Here at CIAT for two weeks to learn this methodology • Important tool to get an estimate of the vulnerability of species to climate change • Species with declining or disappearing habitat area are considered vulnerable
  4. Jarvis et al. AGEE 2008
  5. Gap analysis • I am currently however inclined to think that we should prioritise the collection of species in populations we think will go extinct soon. • This is not necessarily the same • The focus shifts from species to populations • In the following I will explain why I feel this way • And I like to hear your thoughts about this
  6. Marleen Cobben René Smulders Jana Verboom Rolf Hoekstra Paul Opdam Adapt, move or perish The interaction of range shifts and genetics under climate change
  7. Collaboration within Wageningen-UR Plant Breeding Alterra Land Use Planning Genetics
  8. Metapopulations In fragmented landscapes species are often confined to metapopulations
  9. Metapopulations In fragmented landscapes species are often confined to metapopulations
  10. Metapopulations In fragmented landscapes species are often confined to metapopulations
  11. Metapopulations In fragmented landscapes species are often confined to metapopulations
  12. Climate change • Natural populations of species need to respond to climate change. They may – track suitable climate, and thus shift their range – adapt to changed climate • These responses may occur together and interact • In my thesis I investigated both responses and their interaction
  13. Research question How will the level and distribution of neutral genetic diversity in metapopulations be affected by range shifts which are induced by current climate change?
  14. Climate scenarios • Overall increased temperature – Hadley Centre: • 1 C warming by 2100 • 2 C warming by 2100 • 4 C warming by 2100 • Increased weather variability: more weather extremes
  15. Simulation study • METAPHOR: simulates metapopulation demography • + shaking windows: simulates temperature increase and weather variability • + genetics: each individual has its own genome 100 genes, diploid WHAT DOES IT LOOK LIKE?
  16. North METAPHOR Habitat patch individuals of the species chance to survive 2000 km chance to breed chance to disperse South
  17. North METAPHOR individuals of the species chance to survive 2000 km chance to breed chance to disperse South
  18. North METAPHOR individuals of the species chance to survive 2000 km chance to breed chance to disperse South
  19. North METAPHOR individuals of the species chance to survive 2000 km chance to breed chance to disperse South
  20. North + shaking windows climate translates to habitat Habitat becomes suitable quality chance to survive Shaking movement chance to breed of bell shaped window 2000 km chance to disperse Optimal Habitat each year varies randomly around the optimum but on average moves Habitat deteriorating northwards: 1 C : 2 km/year 2 C : 4 km/year 4 C : 8 km/year South
  21. North + genetics neutral genes diploid inheritance recombination 2000 km mutations: 10-4 per generation (microsatellite mutation rate) numbers of alleles per locus effective numbers of alleles per locus spatial distribution of both South
  22. North + genetics 2000 km number of alleles: 7 effective number of alleles: 5.33 South
  23. Simulation result climate optimum: 400 km temperature speed: 2 km/year, so 1 C scenario weather variability: 140 km
  24. Concluding Under 2 and 4 degrees temperature increase scenarios the metapopulation goes extinct All temperature increase scenarios show loss of neutral genetic diversity as a combination of ‘allele surfing’ at the leading edge and ‘allele wipe-out’ at the trailing edge Cobben et al. 2011 Ecography
  25. Maybe it’s the landscape? 2.5% 5% 10%
  26. 2.5% landscape area
  27. 10% landscape area
  28. So  Enhancing landscape connectivity may lead to a delayed loss of genetic diversity in metapopulations under climate change  But additional measures are likely necessary to ensure its long-term conservation Cobben et al. 2012 Landscape Ecology
  29. Well....  Surely genetic variation that is selected for will not go extinct...  And adaptation will improve either the species’ tracking capabilities or its local survival?
  30. Modelling adaptive genetic diversity • Up till now neutral genes: not affecting individual performance • Set of models allowing selection for traits or a combination of traits • Under temperature increase and increased weather variability
  31. Research question What is the outcome of the interaction of local evolution and range shifts when the central populations in the species range differ genetically from the marginal populations?
  32. North neutral model 2000 km South
  33. North Central-marginal model climate GENERALISTS versus climate SPECIALISTS 2 traits involved: - experienced maximum habitat quality chance to survive chance to breed chance to disperse - thermal tolerance South
  34. North Central-marginal model climate GENERALISTS versus climate SPECIALISTS only 2 alleles coding for generalist and specialist types, heterozygotes are intermediates South
  35. temperature speed: 2 km/year, so 1 °C scenario mutation rate 10e-6
  36. Compare N in time: metapopulation with specialists and generalists SG, and 2 single genotype metapopulations, G and S
  37. So • Increase of the generalist numbers is not local evolution towards increased frequency of better-adapted genotype but an effect of the range shift • Range shift causes maladaptation of the species: specialist and generalist genotypes are in the wrong location • This affects the metapopulation size • Temperature increase can ultimately lead to extinction of the specialist allele and of the metapopulation Cobben et al. Global Change Biology, online
  38. Evolution of dispersal • Range shifts are known to lead to increased dispersal capacity at range borders
  39. Short wing vs long wing Long wing vs extra-long wing Thomas et al. 2001 Nature
  40. Hmmm.... • I wonder if this pattern could be partly explained by founder effects as a result of the range shift....
  41. Research questions Will range shifts lead to selection for increased dispersal probability in the metapopulation? Could this increase be caused by founder effects? If so, are there adverse effects of this?
  42. Dispersal probability model Individuals in the model have different chances of leaving their patch to disperse 6 alleles coding for 11 different levels of dispersal probability AA AB BB BC CC CD DD DE EE EF FF 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Initialisation of the model with alleles A-C Mutations A-F
  43. temperature speed: 2 km/year, so 1 °C scenario mutation rate 10e-6 Dispersal probability 0.0 0.1 0.2
  44. Dispersal probability 0.0 0.1 0.2
  45. Dispersal probability 0.0 0.1 0.2
  46. This is beneficial for the metapopulation 1 metapopulation 3 metapopulations with all genotypes with single genotypes
  47. However, availability of genetic variation changes the pattern
  48. So • The pattern of genotypes is not caused solely by selection pressure • And is thus partly the result of the local availability of the genotypes • Under climate change, evolution towards increased dispersal probability is therefore enhanced by the founder effect
  49. But this has a drawback when selection pressure changes
  50. So • Under stable climate conditions the metapopulation consisted of only 0.0, 0.1 and 0.2 dispersal probability individuals • Under temperature increase we saw selection for the 0.2 dispersal probability genotype • The increase of this genotype was additionally enhanced by the founder effect • But when temperature stabilised the local lack of genetic variation for dispersal probability caused a slow recovery of the optimal distribution of genotypes
  51. So this may be partly caused by a founder effect Short wing vs long wing Long wing vs extra-long wing Thomas et al. 2001 Nature
  52. With short-term positive effect Short wing vs long wing Long wing vs extra-long wing Thomas et al. 2001 Nature
  53. But possibly a long-term negative effect Short wing vs long wing Long wing vs extra-long wing Thomas et al. 2001 Nature
  54. Overall conclusions 1. The founder effect is an important determinant of the allele composition in newly established populations under range shift across fragmented habitat. 2. The genetic impoverishment resulting from such founder events requires considerable restoration time in fragmented habitat and may consequently be a risk to species’ survival.
  55. Implications • We are investigating future suitable habitat areas for species that are currently shifting their ranges • And basing our estimate of their vulnerability on the amount of habitat left • But we don’t know whether these species will actually be able to reach these new areas • And if they do, they may look very different • I therefore suggest that we further investigate whether to prioritise the collection of genetic diversity in populations assessed to go extinct soon
  56. Thank you
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