Pondering the (Near) Future: Climate Change and the Genetics of Plant Migration & Adaptation

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    Pondering the (Near) Future: Climate Change and the Genetics of Plant Migration & Adaptation - Presentation Transcript

    1. Julie R. Etterson Pondering the near future Climate change and the genetics of plant migration and adaptation
    2. Populations differ across the species range ? ? ?
      • range shifts
      Response to climate change ? ? ?
    3. Evidence of range shifts in mobile organisms Species Location Documented movement 39 butterfly species N.Am, Europe up to 200 km/27 yrs 12 bird species Britain ave. 8.9 km/20 yrs Artic fox Canada southern contraction Red fox Canada northward expansion
    4. What about plants?
    5. Trees migrated north during periods of glacial retreat 1950
    6. 14,000 8,000 10,000 12,000 12,000 10,000 8,000 6,000 Oak species Pine species Davis, M.B. 1981. In Forest Succession: Concepts and Applications Trees migrated north during periods of glacial retreat
    7. Glacier National Park 1850-2100 Hall and Fagre 2003 BioScience 53: 131-140
    8. Glacier National Park 1850-2100 Hall and Fagre 2003 BioScience 53: 131-140 http:// www.nrmsc.usgs.gov/research/glacier_model.htm
      • range shifts
      • extinction
      Response to climate change ? ? ?
    9. Species Dispersal No dispersal Mammals 2 - 46 9 - 59 Birds 2 - 32 5 - 30 Reptiles 7 - 27 33 - 45 Butterflies 1 - 16 6 - 36 Plants 3 - 27 9 - 57 Projected % extinction from climate change “ … we predict, on the basis of mid-range climate-warming scenarios for 2050, that 15-37% of species in our sample regions and taxa will be ‘committed to extinction’ ” Thomas et al. 2004. Extinction risk from climate change. Nature 427:145-148
      • range shifts
      • extinction
      • adaptation
        • plastic response
      Response to climate change ? ? ?
    10. Anomaly Phenology (days) Anomaly Temperature Spring arrival of birds Hatching date Bud break Bud break Temp (M,A) NAO Temp (M,A,M) Plastic responses to climate in Germany Walther et al. 2002. Nature 416:389
    11. Davis, Shaw and Etterson. 2005. Ecology 86:1704-1714
      • range shifts
      • extinction
      • adaptation
        • plastic response
      Response to climate change Fitness ? ? ?
      • range shifts
      • extinction
      • adaptation
        • plastic response
        • genetic change
      Response to climate change ? ? ?
    12. Davis, Shaw and Etterson. 2005. Ecology 86:1704-1714
      • How important is this mismatch?
      • How long will it take populations to evolve optimal phenotype?
      • Will facilitated gene flow enhance fitness in the future?
      ? ? ?
    13. ? ? ? Chamaecrista fasciculata Partridge Pea
    14. ? ? ? Chamaecrista fasciculata Partridge Pea
    15. Habitat fragmentation may inhibit northern range expansion
    16. Habitat fragmentation may inhibit northern range expansion
    17. Habitat fragmentation may inhibit northern range expansion
    18. ? ? ? Chamaecrista fasciculata Partridge Pea MN KS OK MN ND SD NA KS OK TX IA Thompson et al. 2000. U.S.G.S. Professional Paper 1650 A-B
    19. MN KS OK MN ND SD NA KS OK TX IA Thompson et al. 2000. U.S.G.S. Professional Paper 1650 A-B
    20. ? ? ? Chamaecrista fasciculata Partridge Pea Physiological differences among populations in the greenhouse
      • How important is this mismatch?
    21. ? ? ? Chamaecrista fasciculata Partridge Pea
      • How important is this mismatch?
    22.  
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    30.  
    31.  
    32.  
    33.  
    34. ? ? ? Chamaecrista fasciculata Partridge Pea Relative fitness MN KS OK Field Sites 0.0 0.2 0.4 0.6 0.8 1.0
      • How important is this mismatch?
      Etterson and Shaw. 2001. Science 294:151-154 N = 9908 MN KS OK Populations
      • How important is this mismatch?
      • How long will it take populations to evolve optimal phenotype?
      ? ? ? Chamaecrista fasciculata Partridge Pea
      • Requirements for adaptive evolution?
        • selection favors different phenotypes
        • phenotypic differences are genetically based
        • genetic architecture amenable to change
      ? ? ? Chamaecrista fasciculata Partridge Pea
    35. Natural selection differs clinally along the climate gradient MN SITE KS SITE OK SITE Phenology 0.74 a *** - 0.13 b *** 1.00 c *** Leaf number 0.41 a *** 0.54 b *** 0.60 b *** Leaf thickness 0.00 a - 0.13 b *** 0.23 c *** MN SITE KS SITE OK SITE Phenology - - Leaf number Leaf thickness - - Standardized direct selection gradients (  i ) Etterson. 2004. Evolution 58:1446-1458
      • Requirements for adaptive evolution?
        • selection favors different phenotypes
        • phenotypic differences are genetically based
      • S
      ? ? ? Chamaecrista fasciculata Partridge Pea
        • Heritability
      The fraction of phenotypic variance that is genetically based. h 2 = V A V P Indicates the efficiency of selection
        • Rate of response to selection
      R = h 2 S Rapid response if heritability is large, and selection is strong and directional.
    36.  
    37. Fecundity MN SITE 0.004 0.091 ** 0.272 *** KS SITE 0.087 † 0.020 † 0.082 * OK SITE 0.044 0.151 0.215 * Phenology MN SITE 0.065 0.000 0.136 *** KS SITE 0.028 † 0.000 0.381 *** OK SITE 0.215 ** 0.000 0.265 *** Leaf number MN SITE 0.053 * 0.087 ** 0.097 *** KS SITE 0.121 ** 0.074 *** 0.118 * OK SITE 0.225 ** 0.235 *** 0.205 * Leaf thickness MN SITE 0.181 * 0.088 *** 0.265 † KS SITE 0.058 ** 0.080 ** 0.240 * OK SITE 0.266 *** 0.211 *** 0.070 * Heritability MN POP h 2 KS POP h 2 OK POP h 2 Etterson. 2004. Evolution 58:1459-1471
      • S
      • S
      • Requirements for adaptive evolution?
        • selection favors different phenotypes
        • phenotypic differences are genetically based
        • genetic architecture amenable to change
      ? ? ? Chamaecrista fasciculata Partridge Pea
    38. Genetic correlations among traits Leaf number Phenology
      • Genetic correlation is:
        • in accord
      • with selection
        • antagonistic
      • to selection
        • Influence of antagonistic correlations on selection response:
          • retard rate
          • reverse direction
          • cause evolutionary response of
          • traits not under selection
    39. MN POP KS POP OK POP MN SITE 0.5518 ** -0.1281 * KS SITE 0.0055 * -0.0072 † OK SITE 0.0077 † -0.0013 * Predicted evolution taking genetic correlations into account PH LN LT PH LN LT PH LN LT Etterson and Shaw. 2001. Science 294:151-154 -0.0082 †
    40. log (Leaf number) log (Leaf thickness g m -2 ) r = 0.47 * log (Leaf number) Phenology r A = - 0.82 *** Antagonistic genetic correlations MN population OK site A Etterson and Shaw. Science 294:151-154 1.2 1.3 1.4 1.5 1.6 1.7 -0.82 -0.80 -0.78 -0.76 -0.74 -0.72 1.2 1.3 1.4 1.5 1.6 1.7 2.00 3.00 4.00 5.00
    41. How long will it take populations to evolve optimal phenotype? log (Leaf number) 1.50 1.75 2.00 2.25 2.50 42 28 Phenology 21 log (Leaf thickness g m -2 ) 79 7 Etterson and Shaw. Science 294:151-154 Sites MN KS OK 1.0 2.0 3.0 4.0 MN KS OK -0.9 -0.8 -0.7 -0.6 MN KS OK MN KS OK Populations
    42. Chamaecrista fasciculata Partridge Pea Chamaecrista fasciculata Partridge Pea MN
      • How important is this mismatch?
      • How long will it take populations to evolve optimal phenotype?
      • Will facilitated gene flow enhance fitness in the future?
      ? ? ? OK x F1, F2, F3 ? ? ?
    43. MN site OK site Hybrids produce less seed than local plants ln Estimated Seed Count 0 2 4 6 8 MN MN OK OK F1 F1 F2 F2 F3 F3
        • Local is better
            • Restoration failure
            • Outbreeding depression in nearby native populations
            • Facilitated gene flow in the future?
      Conclusions
    44. Increasing temperature in MEC Ave. annual temp. (  F) 1900-2000 across 23 meteorological stations in the Metro East Coast region corrected for the effect of the urban heat island Temperature  F Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
    45. Hotter summers Temperature  F Ave. summer temp. (  F) 1900-2000 across 23 meteorological stations in the Metro East Coast region corrected for the effect of the urban heat island Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
    46. Prediction for continued increases in temperature in MEC Temperature  F Predicted temperature for the Metro East Coast region based on current trends and four different regional climate models Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
    47. Increasing precipitation in MEC Ave. annual temp. (  F) 1900-2000 across 23 meteorological stations in the Metro East Coast region corrected for the effect of the urban heat island Temperature  F Precipitation (inches) Ave. annual precipitation (inches) 1900-2000 across 23 meteorological stations in the Metro East Coast region Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
    48. But drier summers Precipitation (inches) Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
    49. Precipitation predictions differ Precipitation (inches) Predicted precipitation for the Metro East Coast region based on current trends and four different regional climate models Climate Change and a Global City: An Assessment of the Metropolitan East Coast Region. 2000 http://metroeast_climate.ciesin.columbia.edu/reports/assessmentsynth.pdf
        • Local is better
            • Restoration failure
            • Outbreeding depression in nearby native populations
            • Facilitated gene flow in the future?
        • More experimentation is necessary
            • Keep good records
        • Genetic variation is critical
            • Preserve evolutionary potential into the future
      Conclusions
    50.  
    51. Acknowledgements
      • Funding
        • EPA STAR
        • MN Center for Community Genetics
        • Bell Museum of Natural History
        • U of MN Graduate School
      • Agencies
        • The Nature Conservancy
        • Konza Prairie SNA
        • EPA Ground Water and Ecosystem Restoration Division
      • People
        • R.G. Shaw
        • M.B. Davis
        • D.N Alstad
        • D.A. Andow
        • M.A. Etterson
        • A. Mertyl
        • J. Larson
        • L. Kinsell
        • T. Nguyen
        • R. and D. Otterson
    52. Intergovernmental Panel on Climate Change 2001 This is not an extreme climate model
    53. MN POP KS POP OK POP MN SITE -0.49 0.46 -0.91 0.28 -0.66 0.31 0.57 0.13 -0.05 KS SITE -0.51 -0.73 † 0.18 -1.02 -0.75 * 0.53 0.27 † -3.97 † -0.30 OK SITE -0.82 *** -0.59 * 0.69 -0.52 -0.63 ** 0.18 0.47 * 0.17 -0.65 Antagonistic and reinforcing genetic correlations Etterson and Shaw. Science 294:151-154 LN LT RS LN LN LT LN LT RS LN RS LN
    54. 0 1 2 3 Etterson. 2004. Evolution 58:1459-1471 MN site OK site Fitness gap How big is the fitness gap? 0 1 2 3 Populations MN KS OK 0 1 2 3 0 1 2 3 MN site KS site Fitness gap
      • Overestimation of evolutionary rates:
        • selection depletes genetic variation
        • selection coefficients not constant
        • demographic consequences of
      • fitness losses
    55. Davis, Shaw and Etterson 2005
      • How important is this mismatch?
      • How long will it take populations to evolve optimal phenotype?
      ? ? ?

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