Tolerance to climate change of early life-stage
Fucus vesiculosus varies among sibling groups
Balsam Al-Janabi 1, Inken Kruse 1, Angelika Graiff 2, Ulf Karsten 2 and Martin Wahl 1
1 GEOMAR, Helmholtz Center for Ocean Research, Kiel, Germany
2 University of Rostock, Applied Ecology and Phycology, Rostock, Germany
© I. Lastumäki © Inken Kruse © B. Al-Janabi © K. Maczassek
500 µM
200 µM 200 µM © B. Al-Janabi
1
Genetic diversity of Fucus vesiculosus
Diversity
Diversity
Confers potential for adaptation through selection Allows for resilience and ecosystem services
Hypothesis: Populations of high genetic diversity perform better on environmental stress.
2
Genotyping of 42 adult Fucus vesiculosus
-> their physiological responses at the Benthocosms experiment (T x CO2) were analysed Angelika Graiff
9 microsatellite markers were used to describe the genetic diversity:
Parameters:
HO Observed Heterozygosity HE Expected Heterozygosity FIS Inbreeding factor
Fucus vesiculosus – Bülk Population
Genetic diversity of Fucus vesiculosus
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Microsatellite analysis of 42 adult F. vesiculosus
Locus NA Size range (bp) HO HE FIS
L85 8 112 - 126 0,7105 0,6274 - 0,135
L94 5 151 - 184 0,9000 0,6038 -0,500
Fsp1 11 122 - 160 0,8158 0,8242 0,010
Fsp2 17 115 - 195 0,5000 0,9069 0,452
F9 10 184 - 212 0,6579 0,8182 0,198
F19 10 162 - 192 0,5714 0,6779 0,159
F34 8 186 - 220 0,9750 0,6655 -0,474
F36 3 216 - 224 0,9231 0,5891 -0,579
F60 3 188 - 194 0,3000 0,4165 0,282
Total x = 8.33 0,7060 0,6810 Estimation multilocus: - 0,0370
Settlement of germlings
© K. Maczassek
Diversity level 2
2x
Collection of fertile adult Fucus vesiculosus Induction of gamete release
Settling of germlings on limestones cubes: edge length 2 cm.
Diversity level 3
4x
Diversity level 1
1x
5
versus
1 2 3 4 5 6 7 8
offspring of 1 parental pair each
offspring of 2 parental pairs each
offspring of 4 parental pairs each
1, 2 3, 4 5, 6 7, 8
5, 6, 7 , 8 1, 2, 3, 4
versus
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Diversity level
Low
Medium
High
Three diversity levels of Fucus vesiculosus gemlings
Climate change scenario: Kiel Benthocosms
Investigation of species interactions and community structure under climate change Upscaling of: Multiple factors, Multi-species communities, Multi-seasonal approach
Closing the gap between laboratory and field experiments Flow-through system allows a near natural scenario
Wahl et al. 2015 Limnology and Oceanography: Methods 7
Warming and acidification: Kiel Benthocosms
Temperature: + 5 °C pCO
2: 1100 µatm
8
4 treatment levels
High Temperature + pCO
2High Temperature
High pCO
2Ambient (Fjord conditions) n = 3
Seasonal variation - 2013
Seasonal differences between spring and summer (p-value < 0.05)
Season *
0 20 40 60 80 100
Spring13 Summer Autumn Winter Spring14
Survival % T+CO2+T+ CO2-
T- CO2+
T- CO2-
Warming decreases survival in summer and also in winter (p-value < 0.05)
Warming and acidification in a seasonal environment
Means +SD n=3
Temp * Temp *
9
Seasonal differences between spring and summer (p-value < 0.05)
Season *
0 20 40 60 80 100
Spring13 Summer Autumn Winter Spring14
Survival % T+CO2+
T+ CO2- T- CO2+
T- CO2-
Warming decreases survival in summer and also in winter (p-value < 0.05)
Acidification effect on growth – Laboratory approach
Means +SD n=3
Temp * Temp *
10
0 0,2 0,4 0,6 0,8 1
Area (mm2)
380 1120 2400
pCO2 effect on growth
High pCO2 levels increase growth of Fucus germlings (p-value < 0.05) = fertilisation effect
Means +SD n=3
10
Siblings vary in tolerance to warming and acidification
-2 -1 0 1 2
1 2 3 4 5 6 7 8
Survival %
log effect ratio (SD) (relative to “ambient”)
T+/ T- CO2 +/ CO2 - Future/ Present Temp
CO2 Temp
Temp CO2
Temp CO2
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Warming, acidification and nutrient enrichment
Temperature: + 5 °C
pCO
2: 1100 µatm
[Temperature + pCO
2] x Nutrients
[NO
2NO
3PO
4]
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Nutrient enrichment mitigates heat wave stress
0 0,5 1 1,5 2 2,5 3 3,5
T-CO2-N- T-CO2-N+ T+CO2+ N- T+CO2+ N+
Growth % d-1
0 20 40 60 80 100
T-CO2-N- T-CO2-N+ T+CO2+ N- T+CO2+ N+
Survival %
TempCO2- N- TempCO2- N+ TempCO2+ N- TempCO2+ N+
***
***
Warming during a heat wave decreased survival and growth significantly (p < 0.0001)
Nutrient enrichment attenuates the high mortality and growth reduction (p < 0.0001)
Warming+Acidification interacts with the factor nutrients (p <
0.0001)
+N
+N
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+T
+T
Local Upwelling event
[Temperature + pCO
2] x Nutrients
[NO2 NO3 PO4]
+ [Temperature + pCO2] + Nutrients + [Temperature + pCO2] - Nutrients - [Temperature + pCO2] + Nutrients
- [Temperature + pCO2] - Nutrients
3 days Upwelling
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Sensitivity to hypoxia is enhanced by previous warming
Mortality of F. vesiculosus germlings is strongly increased under hypoxia in all groups of pre-treatments
Previous exposure to warming and acidification decreased the tolerance to
hypoxia stress (p < 0.001) 15
0 20 40 60 80 100
TCO2- N- TCO2- N+ TCO2+ N- TCO2+ N+
Mortality %
Pre-treatment TempCO2- N- TempCO2- N+ TempCO2+ N- TempCO2+ N+
3 days Hypoxia
Genotypic correlations determine the direction of selection
Vinebrook et al. (2004)
Populations resistance to multiple factors depend on trade correlation
Analysis of sibling groups sensitivity towards multiple stressors was performed Sibling groups sensitivity to stressor A and stressor B may correlate
genotypic correlations
Sibling groups were ranked according to the different sensitivities:
Warming Acidification
Warming + acidification
Hypoxia
16Siblings correlations of sensitivities to warming and OA
0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8
6 4
8
3 1
7 5
2
0 1 2 3 4 5 6 7
0 1 2 3 4 5 6 7
5
4
6
1
3
7
8
Survival
0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8
R = 0.929 P = 0.0022 6
4 8
1
3
7
5
Growth 2
Rank sensitivity to CO2
Rank sensitivity to temperature
Spring
R = 0.952 P = 0.0011
SpringSummer
R = 0.821 P = 0.0341
Growth
Sensitivity to warming and acidification is positively correlated (p < 0.05)
Direction of selection goes towards the more tolerant genotypes to warming and acidification
Positive correlation will accelerate selection processes towards these genotypes
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0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Sensitivity to TempCO 2
Sensitivity to Hypoxia
6 10
4
9
16 5
8
13 11
14 1
3 2
15 12
7
R = - 0.8088 P = 0.0002
Correlations of sensitivities to OAW and hypoxia
Sensitivity towards warming+acidification and hypoxia is negatively correlated
(p < 0.001)
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Genotypes adapted to warming and
acidification are most sensitive to hypoxia
Conclusions
• Warming enhances growth in summer, but reduces survival in late summer
• Seasonal variation determines climate change effects on growth and survival
• Sibling groups vary in their response to warming and acidification
-> potential for adaptation
• Heat wave stress is mitigated under nutrient enrichment but enhances the sensitivity to hypoxia
• Positive correlation of sensitivities towards warming and acidification determines the direction of selection
• Populations adapted to warming and acidification are most sensitive to hypoxic upwelling
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Acknowledgments
Martin Wahl Inken Kruse
Angelika Graiff Ulf Karsten Björn Buchholz
Federal Ministry of Education and Research 20
baljanabi@geomar.de
Acknowledgments
Prof. Dr. Martin Wahl Dr. Inken Kruse
Angelika Graiff
Prof. Dr. Ulf Karsten
Thank you for your attention!
© I. Lastumäki © Inken Kruse © B. Al-Janabi © K. Maczassek
500 µM
200 µM 200 µM © B. Al-Janabi
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Higher diversity level survive better under warming
0 20 40 60 80 100
T+ CO2+ T+ CO2- T- CO2-
Survival %
Autumn
0 20 40 60 80 100
T+ CO2+ T+ CO2- T- CO2-
Survival %
Winter
DL 1 DL 2 DL 3
Means +SD n=3
Survival high diversity level
>
survival low diversity level at high temperatures (p-value < 0.05)Increased survival for a group of many families indicated facilitation processes among different genotypes
Diversity level low
medium high
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Table 1 Nutrient concentrations in the present (mean of the last 7 years
according to the respective summer months) and future nutrient conditions as doubled amounts of the present nutrient concentrations for PO4, NO2, NO3 in µmol L-1.
July
August
September
Present Future Present Future Present Future
PO4 0.46 0.93 0.59 1.19 1.06 2.11
NO2 0.53 1.05 0.77 1.54 1.27 2.54
NO3 0.18 0.36 0.20 0.40 0.22 0.44
Nutrient treatment
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