SlideShare ist ein Scribd-Unternehmen logo
1 von 23
Downloaden Sie, um offline zu lesen
Using  Proteomics  to  
Understand  Crassostrea  
 gigas’s  Response  to  
  Multiple  Stressors	
     Emma Timmins-Schiffman (UW, SAFS)
       Brook Nunn (UW, Med. Chem.)
      David Goodlett (UW, Med. Chem.)
        Carolyn Friedman (UW, SAFS)
          Steven Roberts (UW, SAFS)
Ocean  Acidification	
•  Current and projected changes in pCO2 are
   unprecedented




                                          Zeebe  2011
Ocean  Acidification  and  
        Bivalves	
          pCO2
                     Energy/resource use


                 Growth & calcification
                 •  Acidosis and shell dissolution
                 •  CO32- availability
Characterize how
 ocean acidification
  affects the oyster’s
response to a second
        stressor
427 µatm
638 µatm
810 µatm
991 µatm
1182 µatm
2848 µatm
Experimental  Design	
                                pCO2 (µatm)
                   400   600    800     1000   1200   2800
t0: shell weight


                               1 month exposure


No additional                     Mechanical
stress                            stress                     Heat shock
                                                             •  2 sublethal
                                                                temperatures:
           •  Shell weight                                      42 & 43°C
           •  Gill tissue:                                   •  1 lethal
               •  Transcriptomics                               temperature:
               •  Proteomics                                    44°C
           •  Whole body: fatty acids
Experimental  Design	
                              pCO2 (µatm)
                 400   600    800     1000     1200   2800



                             1 month exposure


No additional                     Mechanical
stress                            stress


         •  Shell weight
         •  Gill tissue:
             •  Transcriptomics
                •  Proteomics
         •  Whole body: fatty acids
Experimental  Design	
 •  Mechanical stress as a proxy for environmental
    stress
 •  MS promotes a catecholmine stress response in C.
    gigas (Lacoste et al. 2001)




Proteins?
Methods:  Proteomics	
                   2012_0301_PARP1_plusBOV_10 #7891 RT: 69.73 AV: 1 NL: 3.19E1
                                               T: ITMS + c NSI d Full ms2 1820.34@cid35.00 [490.00-2000.00]

                                                 100
                                                                                                                                                                                                                                          1661.2975




•  Shotgun sequencing
                                                                95

                                                                90

                                                                85

                                                                80

                                                                75




   using LC-MS/MS                                                                                                                                                                                                                                                                                       Sequenced spectrum
                                                                70

                                                                65

                                                                60




                          Relative Abundance
                                                                55

                                                                50

                                                                45

                                                                40




•  Protein fragments
                                                                                                                                                                                                                                                                        1915.7020
                                                                                                                                                                                           1426.2880
                                                                35

                                                                30

                                                                25

                                                                20                                                                                                                                                                                1710.3446

                                                                15                                                      979.8818
                                                                                                                                          1102.1235




   (peptides) are
                                                                                                                                                            1255.5396
                                                                10                                                                                               1349.2131
                                                                      5

                                                                      0
                                                                                  600                  800                    1000                    1200                                  1400                                         1600                 1800                    2000
                                                                                                                                                          m/z




   sequenced
                                                                                                                                                                                                                                                Matched to “spectrum”
•  Sequences are                                                                                                                                                                                                                                    in database
   identified using a                                                 2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1
                                                                      T: Average spectrum MS2 1240.28 (5584-5952)

                                                                          100                                                 1221.0632
                                                                                                                                          1344.0381
                                                                                                                                                                                                                                 2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1
                                                                                                                                                                                                                                 T: Average spectrum MS2 1240.28 (5584-5952)

                                                                                                                                                                                                                                   100                                                      1221.0632
                                                                                                                                                                                                                                                                                                        1344.0381




   database of proteins
                                                                           95                                                                                                                                                       95

                                                                           90                                                                                                                                                       90

                                                                           85                                                                                                                                                       85

                                                                           80                                                                                                                                                       80

                                                                           75                                               1178.4297                                                                                                                                                     1178.4297
                                                                                                                                                                                                                                    75

                                                                           70                                                                                                                                                       70

                                                                           65                                                                                                                                                       65

                                                                           60                                                                                                                                                       60




                                                 Relative Abundance




                                                                                                                                                                                                            Relative Abundance
                                                                           55                                        1039.4359                                                                                                                                                     1039.4359
                                                                                                                                                                                                                                    55

                                                                           50                                                                                                                                                       50

                                                                           45                                                                                                                                                       45

                                                                           40                                                                                                                                                       40
                                                                                                                                                1424.5980                                                                                                                                                     1424.5980
                                                                           35                                                                                                            2012_0301_PARP1_plusBOV_10 #7891 RT: 69.73 AV: 1 NL: 3.19E1
                                                                                                                                                                                                         35
                                                                                                                                                      1490.5931                                                                                        1490.5931
                                                                           30
                                                                                                                                                                                         T: ITMS + c NSI 30 Full ms2 1820.34@cid35.00 [490.00-2000.00]
                                                                                                                                                                                                         d
                                                                           25                                                                                                                                                       25
                                                                                                                                                                                                1912.4304                                                                                                                                      1912.4304      1661.2975
                                                                           20                                                                                                                   100                                 20
                                                                                                          869.9010                                          1607.7299                                                                                                                                                     1607.7299
                                                                                                                                                                                                                                                                        869.9010
                                                                           15         545.8882       823.7305                                                                                                                                    545.8882
                                                                                                                                                                                                                                    15                             823.7305
                                                                                 479.2288                                                                                                        95                                         479.2288
                                                                           10                                                                                                            1851.9578                                  10                                                                                                  1851.9578

                                                                            5                                                                                                                    90                                  5

                                                                            0                                                                                                                                                        0
                                                                                 400          600           800   1000         1200         1400             1600                        1800          2000
                                                                                                                             m/z
                                                                      2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1
                                                                                                                                                                                                 85                                       400          600           800           1000         1200         1400          1600         1800          2000
                                                                                                                                                                                                                                                                                               m/z
                                                                      T: Average spectrum MS2 1240.28 (5584-5952)

                                                                                                                                          1344.0381                                              80
                                                                          100                                                 1221.0632

                                                                           95                                                                                                                    75
                                                                           90

                                                                           85                                                                                                                    70
                                                                           80
                                                                                                                            1178.4297
                                                                                                                                                                                                 65
                                                                           75

                                                                           70                                                                                                                    60




                                                                                                                                                                    Relative Abundance
                                                                           65

                                                                           60
                                                                                                                                                                                                 55
                                                 Relative Abundance




                                                                           55                                        1039.4359
                                                                                                                                                                                                 50
                                                                           50

                                                                           45                                                                                                                    45
                                                                           40
                                                                                                                                                1424.5980
                                                                                                                                                                                                 40
                                                                           35
                                                                                                                                                      1490.5931                                                                                                                                                                                                                  1915.7020
                                                                           30
                                                                                                                                                                                                                                                                                                                                      1426.2880
                                                                                                                                                                                                 35
                                                                           25
                                                                                                                                                                                                1912.4304
                                                                           20
                                                                                                                                                            1607.7299
                                                                                                                                                                                                 30
                                                                                                          869.9010
                                                                           15         545.8882       823.7305
                                                                                 479.2288                                                                                                        25
                                                                                                                                                                                         1851.9578
                                                                           10

                                                                            5
                                                                                                                                                                                                 20                                                                                                                                                                 1710.3446
                                                                            0
                                                                                400         600         800          1000         1200         1400          1600                        1800          2000
                                                                                                                                 m/z
                                                                                                                                                                                                 15                                                                          979.8818
                                                                                                                                                                                                                                                                                               1102.1235
                                                                                                                                                                                                                                                                                                                    1255.5396
                                                                                                                                                                                                 10                                                                                                                      1349.2131
                                                                                                                                                                                                   5

                                                                                                                                                                                                   0
                                                                                                                                                                                                                                    600                      800                    1000                    1200                      1400                   1600         1800           2000
                                                                                                                                                                                                                                                                                                                m/z
Results:  Proteomics	
          S	


                •  1,241 proteins were
                   identified
                •  Coverage of entire C.
                   gigas proteome: 4.5%




                             Venny,  Oliveros  2007
Results:  Proteomics	

                 Oxidation-
                 reduction is the
                 most significantly
                 enriched process




                      !
pCO2	
         0.010




                                                        Low1
                                                       Low3
                                                        Low2
                   High1
         0.005




                                                                               pCO2 has a
                                                                               significant effect
Axis 2

         0.000




                                                                               on the
                                                                               proteome
         -0.005




                                                                       Low4
                                      High2
                                      High4
                                      High3
         -0.010




                  -0.015   -0.010   -0.005    0.000    0.005   0.010   0.015

                                              Axis 1
Mechanical  Stress	
                                   LowMS2

         0.02
         0.01




                                            LowMS4

                                             LowMS3
Axis 2

         0.00




                                                                      Low4

                         Low3


                                                                                    LowMS1
         -0.01




                                            Low2




                    Low1
         -0.02




                 -0.02          -0.01         0.00             0.01          0.02    0.03

                                                      Axis 1
0.03
                           Mechanical  Stress	
                                                                                                Proteome
         0.02




                                 HighMS1                                                        expression is
                                                                                                significantly
                                                                                                different at High
         0.01




                                                                                                pCO2, but not at
Axis 2




                                                      HighMS4     HighMS2
                                                                                                Low pCO2
         0.00




                                                                                      HighMS3
                 High1

                                   High4
                                   High2
         -0.01




                                           High3
         -0.02




                         -0.02     -0.01       0.00        0.01         0.02   0.03    0.04

                                                       Axis 1
Mechanical  Stress	




                 Venny,  Oliveros  2007
Mechanical  Stress	




                 Venny,  Oliveros  2007
pCO2  and  Mechanical  
               Stress	
•  pH Homeostasis
  •    V-type proton ATPase subunit C1 (CGI_10004936)
•  Immune Response
   o  Cathepsin L (CGI_10009231)
   o  Heat shock protein 70 12B (CGI_10024293)
   o  MAP kinase-activated protein kinase 2 (CGI_10003308)
Summary	
Proteomics can provide insight into the physiological
response to ocean acidification.
Summary	
Exposure to multiple stressors can impact an
organism’s ability to mount a successful response to
either stressor.
Implications	
We should continue to consider multiple stressors when
    assessing responses to environmental change.
             0.02




                                          LowMS2
                                HighMS1
             0.01




                        High1
                                                 High4
                                                                 HighMS4
                                    LowMS4
                                                                             HighMS2
             0.00
    Axis 2




                                            LowMS3                                              HighMS3
                                            High2
                                                         High3                  LowMS1

                                                                     Low4
                          Low3
             -0.01




                                          Low2



                       Low1
             -0.02




                     -0.02         -0.01             0.00            0.01      0.02      0.03    0.04

                                                                    Axis 1
Acknowledgements	
•  Taylor Shellfish: Joth Davis, Jason Ragan, Dustin
   Johnson
•  Friday Harbor Labs: Emily Carrington, Ken Sebens,
   Michael O’Donnell, Matt George, Michelle Herko
•  UW SAFS: Sam White, Mackenzie Gavery, Caroline
   Storer, Samantha Brombacker, Lisa Crosson, Julian
   Olden
•  UW Proteomics Resource: Priska von Haller, Jimmy
   Eng, Eva Jahan
•  Ronen Elad, Sam Garson, Chris Parrish
•  Funding: NOAA Saltonstall-Kennedy, RocketHub

Weitere ähnliche Inhalte

Was ist angesagt?

120519 mfa acm
120519 mfa acm120519 mfa acm
120519 mfa acm
bodewits
 
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Scale-up Systems
 
Datos Cuestionario 10 A 12 AñOs AñOs
Datos Cuestionario 10 A 12 AñOs AñOsDatos Cuestionario 10 A 12 AñOs AñOs
Datos Cuestionario 10 A 12 AñOs AñOs
Petros Michailidis
 
Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...
Scale-up Systems
 

Was ist angesagt? (15)

120519 mfa acm
120519 mfa acm120519 mfa acm
120519 mfa acm
 
Diodo
DiodoDiodo
Diodo
 
9th ICCS Noordwijkerhout
9th ICCS Noordwijkerhout9th ICCS Noordwijkerhout
9th ICCS Noordwijkerhout
 
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
 
High frequency of abnormal high molecular weight glutenin alleles in Chinese ...
High frequency of abnormal high molecular weight glutenin alleles in Chinese ...High frequency of abnormal high molecular weight glutenin alleles in Chinese ...
High frequency of abnormal high molecular weight glutenin alleles in Chinese ...
 
Datos Cuestionario 10 A 12 AñOs AñOs
Datos Cuestionario 10 A 12 AñOs AñOsDatos Cuestionario 10 A 12 AñOs AñOs
Datos Cuestionario 10 A 12 AñOs AñOs
 
Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...
 
Shp13 4 1
Shp13 4 1Shp13 4 1
Shp13 4 1
 
Duratex - 1st Half 2003
Duratex - 1st Half 2003Duratex - 1st Half 2003
Duratex - 1st Half 2003
 
Mac Gavery PCSGA_2009
Mac Gavery PCSGA_2009Mac Gavery PCSGA_2009
Mac Gavery PCSGA_2009
 
Results Of Rane Stp Final Report
Results Of Rane Stp Final ReportResults Of Rane Stp Final Report
Results Of Rane Stp Final Report
 
Pe C Group
Pe C GroupPe C Group
Pe C Group
 
Quacera Dow Jones Early Warning Reports Sept 28, 2012
Quacera Dow Jones Early Warning Reports Sept 28, 2012Quacera Dow Jones Early Warning Reports Sept 28, 2012
Quacera Dow Jones Early Warning Reports Sept 28, 2012
 
Design Project
Design ProjectDesign Project
Design Project
 
Red Crescent Resources Limited
Red Crescent Resources LimitedRed Crescent Resources Limited
Red Crescent Resources Limited
 

Andere mochten auch

J. Sequeira Ocean Acidification SoA Review
J. Sequeira Ocean Acidification SoA ReviewJ. Sequeira Ocean Acidification SoA Review
J. Sequeira Ocean Acidification SoA Review
John Sequeira
 
Ocean Acidification Expert Forum Program
Ocean Acidification Expert Forum ProgramOcean Acidification Expert Forum Program
Ocean Acidification Expert Forum Program
Amber Rethman
 
New meg chadsey northwest school presentation with credits dec27
New meg chadsey northwest school presentation with credits dec27New meg chadsey northwest school presentation with credits dec27
New meg chadsey northwest school presentation with credits dec27
Bob Payne
 

Andere mochten auch (14)

The Upwell #Acidinar: Ocean Acidification Through the Eyes of the Internet
The Upwell #Acidinar: Ocean Acidification Through the Eyes of the InternetThe Upwell #Acidinar: Ocean Acidification Through the Eyes of the Internet
The Upwell #Acidinar: Ocean Acidification Through the Eyes of the Internet
 
Paper discussion Fabry et al. 2008
Paper discussion Fabry et al. 2008Paper discussion Fabry et al. 2008
Paper discussion Fabry et al. 2008
 
Ocean acidification
Ocean acidificationOcean acidification
Ocean acidification
 
J. Sequeira Ocean Acidification SoA Review
J. Sequeira Ocean Acidification SoA ReviewJ. Sequeira Ocean Acidification SoA Review
J. Sequeira Ocean Acidification SoA Review
 
Pre proposal presentation global processes
Pre proposal presentation global processesPre proposal presentation global processes
Pre proposal presentation global processes
 
Ocean Acidification Expert Forum Program
Ocean Acidification Expert Forum ProgramOcean Acidification Expert Forum Program
Ocean Acidification Expert Forum Program
 
Regina easley stem presentation
Regina easley   stem presentationRegina easley   stem presentation
Regina easley stem presentation
 
New meg chadsey northwest school presentation with credits dec27
New meg chadsey northwest school presentation with credits dec27New meg chadsey northwest school presentation with credits dec27
New meg chadsey northwest school presentation with credits dec27
 
Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011
 
ocean acidification
ocean acidificationocean acidification
ocean acidification
 
Ocean Acidification Summary for Policymakers (2013)
Ocean Acidification Summary for Policymakers (2013)Ocean Acidification Summary for Policymakers (2013)
Ocean Acidification Summary for Policymakers (2013)
 
Ocean Acidification: Cause, Impact and mitigation
Ocean Acidification: Cause, Impact and mitigationOcean Acidification: Cause, Impact and mitigation
Ocean Acidification: Cause, Impact and mitigation
 
Ocean Acidification
Ocean AcidificationOcean Acidification
Ocean Acidification
 
Ocean acidification
Ocean acidificationOcean acidification
Ocean acidification
 

Ähnlich wie E timmins schiffman_nsa2013

12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
CPSA-2012_5-Minutes-Fame
 
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
IrSOLaV Pomares
 
Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...
Ankit Karwa
 
Myth Or Fact Productivty Challenges In R & D2
Myth Or Fact Productivty Challenges In R & D2Myth Or Fact Productivty Challenges In R & D2
Myth Or Fact Productivty Challenges In R & D2
harsukh
 

Ähnlich wie E timmins schiffman_nsa2013 (14)

12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
12 2.6 million users can't be wrong keeley murphy and nick duczak - thermo sc...
 
Gluten protein structures: Variation in wheat grain and at various applications
Gluten protein structures: Variation in wheat grain and at various applicationsGluten protein structures: Variation in wheat grain and at various applications
Gluten protein structures: Variation in wheat grain and at various applications
 
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
Evaluation of wrf and ecmwf forecasts for spain iea 4th ciemat v2
 
Using new modeling technology to help solve heavy oil processing issues final
Using new modeling technology to help solve heavy oil processing issues finalUsing new modeling technology to help solve heavy oil processing issues final
Using new modeling technology to help solve heavy oil processing issues final
 
RAMS 2013 Accelerated testing for 2 year storage
RAMS 2013 Accelerated testing for 2 year storageRAMS 2013 Accelerated testing for 2 year storage
RAMS 2013 Accelerated testing for 2 year storage
 
iSLC Technology
iSLC TechnologyiSLC Technology
iSLC Technology
 
Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...
 
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
 
Case Study, Evaluating The Long Term Performance Of Composite Wear Rings In C...
Case Study, Evaluating The Long Term Performance Of Composite Wear Rings In C...Case Study, Evaluating The Long Term Performance Of Composite Wear Rings In C...
Case Study, Evaluating The Long Term Performance Of Composite Wear Rings In C...
 
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
 
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In Ce...
 
50 years of size exclusion chromatography
50 years of size exclusion chromatography50 years of size exclusion chromatography
50 years of size exclusion chromatography
 
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In C...
 Case Study Evaluating The Long Term Performance Of Composite Wear Rings In C... Case Study Evaluating The Long Term Performance Of Composite Wear Rings In C...
Case Study Evaluating The Long Term Performance Of Composite Wear Rings In C...
 
Myth Or Fact Productivty Challenges In R & D2
Myth Or Fact Productivty Challenges In R & D2Myth Or Fact Productivty Challenges In R & D2
Myth Or Fact Productivty Challenges In R & D2
 

Mehr von emmats (7)

E timmins schiffman_physiomar12
E timmins schiffman_physiomar12E timmins schiffman_physiomar12
E timmins schiffman_physiomar12
 
Timmins schiffman pcsga 2011
Timmins schiffman pcsga 2011Timmins schiffman pcsga 2011
Timmins schiffman pcsga 2011
 
Timmins schiffman afs 2011
Timmins schiffman afs 2011Timmins schiffman afs 2011
Timmins schiffman afs 2011
 
Timmins schiffman wun 2011
Timmins schiffman wun 2011Timmins schiffman wun 2011
Timmins schiffman wun 2011
 
Sicb2011
Sicb2011Sicb2011
Sicb2011
 
Timmins schiffmanpcsga 2010
Timmins schiffmanpcsga 2010Timmins schiffmanpcsga 2010
Timmins schiffmanpcsga 2010
 
Timmins schiffman nsa
Timmins schiffman nsaTimmins schiffman nsa
Timmins schiffman nsa
 

E timmins schiffman_nsa2013

  • 1. Using  Proteomics  to   Understand  Crassostrea   gigas’s  Response  to   Multiple  Stressors Emma Timmins-Schiffman (UW, SAFS) Brook Nunn (UW, Med. Chem.) David Goodlett (UW, Med. Chem.) Carolyn Friedman (UW, SAFS) Steven Roberts (UW, SAFS)
  • 2. Ocean  Acidification •  Current and projected changes in pCO2 are unprecedented Zeebe  2011
  • 3. Ocean  Acidification  and   Bivalves pCO2 Energy/resource use Growth & calcification •  Acidosis and shell dissolution •  CO32- availability
  • 4. Characterize how ocean acidification affects the oyster’s response to a second stressor
  • 5. 427 µatm 638 µatm 810 µatm 991 µatm 1182 µatm 2848 µatm
  • 6. Experimental  Design pCO2 (µatm) 400 600 800 1000 1200 2800 t0: shell weight 1 month exposure No additional Mechanical stress stress Heat shock •  2 sublethal temperatures: •  Shell weight 42 & 43°C •  Gill tissue: •  1 lethal •  Transcriptomics temperature: •  Proteomics 44°C •  Whole body: fatty acids
  • 7. Experimental  Design pCO2 (µatm) 400 600 800 1000 1200 2800 1 month exposure No additional Mechanical stress stress •  Shell weight •  Gill tissue: •  Transcriptomics •  Proteomics •  Whole body: fatty acids
  • 8. Experimental  Design •  Mechanical stress as a proxy for environmental stress •  MS promotes a catecholmine stress response in C. gigas (Lacoste et al. 2001) Proteins?
  • 9. Methods:  Proteomics 2012_0301_PARP1_plusBOV_10 #7891 RT: 69.73 AV: 1 NL: 3.19E1 T: ITMS + c NSI d Full ms2 1820.34@cid35.00 [490.00-2000.00] 100 1661.2975 •  Shotgun sequencing 95 90 85 80 75 using LC-MS/MS Sequenced spectrum 70 65 60 Relative Abundance 55 50 45 40 •  Protein fragments 1915.7020 1426.2880 35 30 25 20 1710.3446 15 979.8818 1102.1235 (peptides) are 1255.5396 10 1349.2131 5 0 600 800 1000 1200 1400 1600 1800 2000 m/z sequenced Matched to “spectrum” •  Sequences are in database identified using a 2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1 T: Average spectrum MS2 1240.28 (5584-5952) 100 1221.0632 1344.0381 2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1 T: Average spectrum MS2 1240.28 (5584-5952) 100 1221.0632 1344.0381 database of proteins 95 95 90 90 85 85 80 80 75 1178.4297 1178.4297 75 70 70 65 65 60 60 Relative Abundance Relative Abundance 55 1039.4359 1039.4359 55 50 50 45 45 40 40 1424.5980 1424.5980 35 2012_0301_PARP1_plusBOV_10 #7891 RT: 69.73 AV: 1 NL: 3.19E1 35 1490.5931 1490.5931 30 T: ITMS + c NSI 30 Full ms2 1820.34@cid35.00 [490.00-2000.00] d 25 25 1912.4304 1912.4304 1661.2975 20 100 20 869.9010 1607.7299 1607.7299 869.9010 15 545.8882 823.7305 545.8882 15 823.7305 479.2288 95 479.2288 10 1851.9578 10 1851.9578 5 90 5 0 0 400 600 800 1000 1200 1400 1600 1800 2000 m/z 2012_0301_PARP1_plusBOV_10 #5584-5952 RT: 49.46-52.71 AV: 2 NL: 2.87E1 85 400 600 800 1000 1200 1400 1600 1800 2000 m/z T: Average spectrum MS2 1240.28 (5584-5952) 1344.0381 80 100 1221.0632 95 75 90 85 70 80 1178.4297 65 75 70 60 Relative Abundance 65 60 55 Relative Abundance 55 1039.4359 50 50 45 45 40 1424.5980 40 35 1490.5931 1915.7020 30 1426.2880 35 25 1912.4304 20 1607.7299 30 869.9010 15 545.8882 823.7305 479.2288 25 1851.9578 10 5 20 1710.3446 0 400 600 800 1000 1200 1400 1600 1800 2000 m/z 15 979.8818 1102.1235 1255.5396 10 1349.2131 5 0 600 800 1000 1200 1400 1600 1800 2000 m/z
  • 10. Results:  Proteomics S •  1,241 proteins were identified •  Coverage of entire C. gigas proteome: 4.5% Venny,  Oliveros  2007
  • 11. Results:  Proteomics Oxidation- reduction is the most significantly enriched process !
  • 12. pCO2 0.010 Low1 Low3 Low2 High1 0.005 pCO2 has a significant effect Axis 2 0.000 on the proteome -0.005 Low4 High2 High4 High3 -0.010 -0.015 -0.010 -0.005 0.000 0.005 0.010 0.015 Axis 1
  • 13.
  • 14. Mechanical  Stress LowMS2 0.02 0.01 LowMS4 LowMS3 Axis 2 0.00 Low4 Low3 LowMS1 -0.01 Low2 Low1 -0.02 -0.02 -0.01 0.00 0.01 0.02 0.03 Axis 1
  • 15. 0.03 Mechanical  Stress Proteome 0.02 HighMS1 expression is significantly different at High 0.01 pCO2, but not at Axis 2 HighMS4 HighMS2 Low pCO2 0.00 HighMS3 High1 High4 High2 -0.01 High3 -0.02 -0.02 -0.01 0.00 0.01 0.02 0.03 0.04 Axis 1
  • 16. Mechanical  Stress Venny,  Oliveros  2007
  • 17. Mechanical  Stress Venny,  Oliveros  2007
  • 18.
  • 19. pCO2  and  Mechanical   Stress •  pH Homeostasis •  V-type proton ATPase subunit C1 (CGI_10004936) •  Immune Response o  Cathepsin L (CGI_10009231) o  Heat shock protein 70 12B (CGI_10024293) o  MAP kinase-activated protein kinase 2 (CGI_10003308)
  • 20. Summary Proteomics can provide insight into the physiological response to ocean acidification.
  • 21. Summary Exposure to multiple stressors can impact an organism’s ability to mount a successful response to either stressor.
  • 22. Implications We should continue to consider multiple stressors when assessing responses to environmental change. 0.02 LowMS2 HighMS1 0.01 High1 High4 HighMS4 LowMS4 HighMS2 0.00 Axis 2 LowMS3 HighMS3 High2 High3 LowMS1 Low4 Low3 -0.01 Low2 Low1 -0.02 -0.02 -0.01 0.00 0.01 0.02 0.03 0.04 Axis 1
  • 23. Acknowledgements •  Taylor Shellfish: Joth Davis, Jason Ragan, Dustin Johnson •  Friday Harbor Labs: Emily Carrington, Ken Sebens, Michael O’Donnell, Matt George, Michelle Herko •  UW SAFS: Sam White, Mackenzie Gavery, Caroline Storer, Samantha Brombacker, Lisa Crosson, Julian Olden •  UW Proteomics Resource: Priska von Haller, Jimmy Eng, Eva Jahan •  Ronen Elad, Sam Garson, Chris Parrish •  Funding: NOAA Saltonstall-Kennedy, RocketHub