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13th
Congress of the European Society for Evolutionary Biology
T¨ubingen, 20–25 August 2011
A5-Sy23-i014-R
Responses of the Intertidal Key Species Fucus serratus to
North Atlantic Warming
Jueterbock A.1
, Coyer J.A.2
, Tyberghein L.3
, Olsen J.L.2
, Hoarau G.1
1 University of Nordland, Norway
2 University of Groningen, The Netherlands
3 University of Ghent, Belgium
Introduction
Climate change is likely to profoundly affect marine intertidal ecosystems
since human impacts have already undermined their capacity to buffer
additional stresses. Global environmental change invokes two basic re-
sponses of organisms: ecological (range shift, phenotypic plasticity) and
evolutionary (genetic change), both of which are integrated into a “move,
be plastic, or evolve” strategy. We investigate ocean warming responses in
the seaweed Fucus serratus, a key ecosystem engineer of North Atlantic
rocky shores, with focus on: (1) distributional changes under rising tem-
peratures and (2) genetic changes over the past decade.
Maximum SST (sea surface tem-
perature) change (2000 - 2200)
Fucus serratus
Responses
Habitat Provisioning Key Species
Ocean
warming
impact
Ecosystem
effect
Methods
Genome Scan
Field Samples
2000 2010
Norway
Denmark
France
Spain
Each of the four locations were sampled (50–70 in-
dividuals) in ∼ 2000 and ∼ 2010.
Genotyping
31 Microsatellites, of which
20 are linked to ESTs
ABI 3500xl Genetic Analyzer.
Data analysis
Variability Genetix (Belkhir et al., 1997); ADZE (Szpiech et al., 2008)
Differentiation Genetix (Belkhir et al., 1997); DEMEtics (Gerlach et al., 2010)
Effective population size MLNe (Wang & Whitlock, 2003); TMVP (Beaumont, 2003)
Outlier Loci Arlequin (Excoffier & Lischer, 2010); Bayescan (Beaumont & Nichols,
1996)
Ecological Niche Modelling
+
Dissox (ml/l)
Calcite (mol/m3
)
SAT (◦
C)
SST (◦
C)
Environmental variables (from the Bio-ORACLE database (Tyberghein et al., 2011)) at
georeferenced occurrence sites specify the ecological niche of Fucus serratus. Loca-
tions fitting this niche are predicted to be of suitable habitat.
Predicted environmental conditions for 2100 and 2200
sea surface temperature and surface air temperature
based on three IPCC scenarios (A2, A1B, B1)
Future projection of habitat suitability
Program MAXENT (Phillips et al., 2006)
Results
Genetic response
Population genetic changes of F. serratus over the past decade. A: Allelic richness, Hexp:
Expected heterozygosity, Ne: Effective population size, O: Proportion of loci being
outliers.
Location Diversity Differentiation Population size O
Hexp A FST Dest Ne
2000 2010 2000 2010 2000 2010 Average
Norway 0.27 0.28 3.18 3.10 0.044*a
0.031* 22 33 91 5%
Denmark 0.50 0.48 4.55 4.19 0.010* 0.014* 51 54 613 0%
France 0.70 0.69 8.61 8.72 0.008* 0.022* 140 115 526 24%
Spain 0.41 0.38 4.24 3.68* 0.008* 0.007* 37 33 551 14%
a
p < 0.05: significant change between temporarily paired population samples
Distributional change
Drastic northward niche shift over the next two centuries
2000 2100 2200
Predicted habitat suitability in present day and future conditions. Red areas depict the
fundamental niche of F. serratus.
Conclusion
Within the past decade, F. serratus suffered significant loss of allelic rich-
ness in Spain, where extreme summer temperatures already exceed its
upper temperature tolerance limit. Under the predicted northward niche
shift until 2200, populations of highest genetic diversity are at risk to be-
come extinct. Disappearance of this key species may trigger substantial
ecosystem restructuring on North Atlantic rocky shores with potential soci-
etal and economic impacts. Whole genome scans for loci under selection
are the first step to clarify whether the population of highest genetic diver-
sity in France can adapt to climate change and thus mitigate the predicted
northward retreatment.
Bibliography
Beaumont, M.A. & Nichols, R.A. (1996): Evaluating loci for use in the genetic analysis of population structure. P. Roy. Soc. B-Biol. Sci.
263(1377):1619–1626
Beaumont, Mark A. (2003): Estimation of Population Growth or Decline in Genetically Monitored Populations. Genetics 164(3):1139–1160
Belkhir, K.; Borsa, P.; Goudet, J.; Chikhi, L. & Bonhomme, F. (1997): Genetix v. 5.0, logiciel sous Windows TM pour la g´en´etique des populations.
Excoffier, L. & Lischer, H.E.L. (2010): Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.
Mol. Ecol. Resour. 10(3):564–567
Gerlach, G.; J¨uterbock, A.; Kr¨amer P.; Deppermann, J. & Harmand, P. (2010): Calculations of population differentiation based on GST and D: forget GST but
not all of statistics! Mol. Ecol. Notes 19(18):3845–3852
Phillips, S.J.; Anderson, R.P. & Schapire, R.E. (2006): Maximum entropy modeling of species geographic distributions. Ecol. Model. 190(3–4):231–259
Szpiech, Z.A.; Jakobsson, M. & Rosenberg N.A. (2008) ADZE: a rarefaction approach for counting alleles private to combinations of populations.
Bioinformatics 24(21):2498–2504
Tyberghein, L.; Verbruggen, H.; Pauly, K.; Troupin, C.; Mineur, F. & De Clerck, O. (2011): Bio-ORACLE: a global environmental dataset for marine species
distribution modelling. Global Ecol. Biogeogr.: 1–10
Wang, J. & Whitlock, M.C. (2003): Estimating Effective Population Size and Migration Rates From Genetic Samples Over Space and Time. Genetics
163(1):429–446
alexander.juterbock@uin.no

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Responses of the intertidal key species Fucus serratus to North Atlantic warming

  • 1. 13th Congress of the European Society for Evolutionary Biology T¨ubingen, 20–25 August 2011 A5-Sy23-i014-R Responses of the Intertidal Key Species Fucus serratus to North Atlantic Warming Jueterbock A.1 , Coyer J.A.2 , Tyberghein L.3 , Olsen J.L.2 , Hoarau G.1 1 University of Nordland, Norway 2 University of Groningen, The Netherlands 3 University of Ghent, Belgium Introduction Climate change is likely to profoundly affect marine intertidal ecosystems since human impacts have already undermined their capacity to buffer additional stresses. Global environmental change invokes two basic re- sponses of organisms: ecological (range shift, phenotypic plasticity) and evolutionary (genetic change), both of which are integrated into a “move, be plastic, or evolve” strategy. We investigate ocean warming responses in the seaweed Fucus serratus, a key ecosystem engineer of North Atlantic rocky shores, with focus on: (1) distributional changes under rising tem- peratures and (2) genetic changes over the past decade. Maximum SST (sea surface tem- perature) change (2000 - 2200) Fucus serratus Responses Habitat Provisioning Key Species Ocean warming impact Ecosystem effect Methods Genome Scan Field Samples 2000 2010 Norway Denmark France Spain Each of the four locations were sampled (50–70 in- dividuals) in ∼ 2000 and ∼ 2010. Genotyping 31 Microsatellites, of which 20 are linked to ESTs ABI 3500xl Genetic Analyzer. Data analysis Variability Genetix (Belkhir et al., 1997); ADZE (Szpiech et al., 2008) Differentiation Genetix (Belkhir et al., 1997); DEMEtics (Gerlach et al., 2010) Effective population size MLNe (Wang & Whitlock, 2003); TMVP (Beaumont, 2003) Outlier Loci Arlequin (Excoffier & Lischer, 2010); Bayescan (Beaumont & Nichols, 1996) Ecological Niche Modelling + Dissox (ml/l) Calcite (mol/m3 ) SAT (◦ C) SST (◦ C) Environmental variables (from the Bio-ORACLE database (Tyberghein et al., 2011)) at georeferenced occurrence sites specify the ecological niche of Fucus serratus. Loca- tions fitting this niche are predicted to be of suitable habitat. Predicted environmental conditions for 2100 and 2200 sea surface temperature and surface air temperature based on three IPCC scenarios (A2, A1B, B1) Future projection of habitat suitability Program MAXENT (Phillips et al., 2006) Results Genetic response Population genetic changes of F. serratus over the past decade. A: Allelic richness, Hexp: Expected heterozygosity, Ne: Effective population size, O: Proportion of loci being outliers. Location Diversity Differentiation Population size O Hexp A FST Dest Ne 2000 2010 2000 2010 2000 2010 Average Norway 0.27 0.28 3.18 3.10 0.044*a 0.031* 22 33 91 5% Denmark 0.50 0.48 4.55 4.19 0.010* 0.014* 51 54 613 0% France 0.70 0.69 8.61 8.72 0.008* 0.022* 140 115 526 24% Spain 0.41 0.38 4.24 3.68* 0.008* 0.007* 37 33 551 14% a p < 0.05: significant change between temporarily paired population samples Distributional change Drastic northward niche shift over the next two centuries 2000 2100 2200 Predicted habitat suitability in present day and future conditions. Red areas depict the fundamental niche of F. serratus. Conclusion Within the past decade, F. serratus suffered significant loss of allelic rich- ness in Spain, where extreme summer temperatures already exceed its upper temperature tolerance limit. Under the predicted northward niche shift until 2200, populations of highest genetic diversity are at risk to be- come extinct. Disappearance of this key species may trigger substantial ecosystem restructuring on North Atlantic rocky shores with potential soci- etal and economic impacts. Whole genome scans for loci under selection are the first step to clarify whether the population of highest genetic diver- sity in France can adapt to climate change and thus mitigate the predicted northward retreatment. Bibliography Beaumont, M.A. & Nichols, R.A. (1996): Evaluating loci for use in the genetic analysis of population structure. P. Roy. Soc. B-Biol. Sci. 263(1377):1619–1626 Beaumont, Mark A. (2003): Estimation of Population Growth or Decline in Genetically Monitored Populations. Genetics 164(3):1139–1160 Belkhir, K.; Borsa, P.; Goudet, J.; Chikhi, L. & Bonhomme, F. (1997): Genetix v. 5.0, logiciel sous Windows TM pour la g´en´etique des populations. Excoffier, L. & Lischer, H.E.L. (2010): Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10(3):564–567 Gerlach, G.; J¨uterbock, A.; Kr¨amer P.; Deppermann, J. & Harmand, P. (2010): Calculations of population differentiation based on GST and D: forget GST but not all of statistics! Mol. Ecol. Notes 19(18):3845–3852 Phillips, S.J.; Anderson, R.P. & Schapire, R.E. (2006): Maximum entropy modeling of species geographic distributions. Ecol. Model. 190(3–4):231–259 Szpiech, Z.A.; Jakobsson, M. & Rosenberg N.A. (2008) ADZE: a rarefaction approach for counting alleles private to combinations of populations. Bioinformatics 24(21):2498–2504 Tyberghein, L.; Verbruggen, H.; Pauly, K.; Troupin, C.; Mineur, F. & De Clerck, O. (2011): Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Global Ecol. Biogeogr.: 1–10 Wang, J. & Whitlock, M.C. (2003): Estimating Effective Population Size and Migration Rates From Genetic Samples Over Space and Time. Genetics 163(1):429–446 alexander.juterbock@uin.no