SlideShare a Scribd company logo
1 of 16
DNA Methylation of Crassostrea
 gigas in Response to Ocean
         Acidification
By Andy Davison, Selina Cho, and Ying-
              Ying Lin
Why do we care about Pacific
oysters?
Why do we care about ocean
acidification?
Why do we care about
epigenetics?
Objectives
   Quantify the physiological response of
    diploid and triploid oysters exposed to
    various acidified conditions

   Implications of varying levels of DNA
    methylation
Method
s
Restriction Enzyme Digestion
Methylated Cytosine Dot Blot
Gel
Electrophoresis
Results




          Triploid and diploid oyster mortality for
             control and high CO2 treatments
Restriction Enzyme Digestions
PCR
                      All samples show elicit
                      bands (~1140bp)



                      Row 2 sample 4- empty
                      row



                      Row 2 sample 17- same
                      band patterns
     amp- gigasin 2
Hsp70



        Bands
        appeared for
        both MspI and
        HpaII samples

        Smaller, fainter
        bands under
        only MspI
        samples
Quantitative PCR   control samples
                   showed
                   expression levels
                   with a median of
                   1.3e-07

                   hpaII digested
                   samples- median of
                   2.5e-08



                   mspI digested
                   samples- median
                   1.5e-08
Methylated Cytosine Dot Blot
                                Methylation most common in both triploid
                                and diploid oysters exposed to low pH
                                conditions
                                        14 of the 22 samples from the low
                                        pH treatment showed some level
                                        of methylation

                                        Four of the 22 samples from the
                                        dry treatment showed signs of
                                        methylation


                                        two of the 18 samples from the
                                        high pH, wet treatment
                                        demonstrated methylation
 Samples with 400ng of DNA showed
 methylation more frequently than
 200ng samples
                               All samples of triploid, low pH (400ng)
                               showed methylation
Conclusions
   What went wrong?
    ◦ Dot blot
    ◦ Restriction enzymes


   Diploids and Triploids are the same

   Phenotypic Plasticity-stress response
Thank you

More Related Content

Viewers also liked

Viewers also liked (6)

Epigenetics presentation
Epigenetics presentationEpigenetics presentation
Epigenetics presentation
 
Epigenetics
EpigeneticsEpigenetics
Epigenetics
 
Epigenetics : overview and concepts
Epigenetics : overview and conceptsEpigenetics : overview and concepts
Epigenetics : overview and concepts
 
Dna methylation
Dna methylationDna methylation
Dna methylation
 
Epigenetics
EpigeneticsEpigenetics
Epigenetics
 
Epigenetics
EpigeneticsEpigenetics
Epigenetics
 

More from sr320

Identifying Local Olympia Oyster Stocks Useful for Restoration
Identifying Local Olympia Oyster Stocks Useful for RestorationIdentifying Local Olympia Oyster Stocks Useful for Restoration
Identifying Local Olympia Oyster Stocks Useful for Restorationsr320
 
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?sr320
 
Science Communication and Impact: A Researcher's Perspective
Science Communication and Impact: A Researcher's PerspectiveScience Communication and Impact: A Researcher's Perspective
Science Communication and Impact: A Researcher's Perspectivesr320
 
Genomic approaches to assessing ecosystem health
Genomic approaches to assessing ecosystem healthGenomic approaches to assessing ecosystem health
Genomic approaches to assessing ecosystem healthsr320
 
Collaborative Genomic Data Analyses in the Cloud
Collaborative Genomic Data Analyses in the CloudCollaborative Genomic Data Analyses in the Cloud
Collaborative Genomic Data Analyses in the Cloudsr320
 
Genomics on the Half Shell: Making Science more Open
Genomics on the Half Shell: Making Science more OpenGenomics on the Half Shell: Making Science more Open
Genomics on the Half Shell: Making Science more Opensr320
 
Epigenetic and Environmental Influences on the Shellfish Immune Response
Epigenetic and Environmental Influences on the Shellfish Immune ResponseEpigenetic and Environmental Influences on the Shellfish Immune Response
Epigenetic and Environmental Influences on the Shellfish Immune Responsesr320
 
NSA2012 Short reads and Oyster Genome Resources
NSA2012 Short reads and Oyster Genome ResourcesNSA2012 Short reads and Oyster Genome Resources
NSA2012 Short reads and Oyster Genome Resourcessr320
 
Short read sequencing and shellfish
Short read sequencing and shellfishShort read sequencing and shellfish
Short read sequencing and shellfishsr320
 
FISH441: Oyster acidification: gene and protein expression
FISH441: Oyster acidification: gene and protein expression FISH441: Oyster acidification: gene and protein expression
FISH441: Oyster acidification: gene and protein expression sr320
 
FISH441: Oyster Hypoxia and acclimation
FISH441: Oyster Hypoxia and acclimationFISH441: Oyster Hypoxia and acclimation
FISH441: Oyster Hypoxia and acclimationsr320
 
Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011sr320
 
Elene Dorfmeier pcsga11
Elene Dorfmeier pcsga11 Elene Dorfmeier pcsga11
Elene Dorfmeier pcsga11 sr320
 
FISH510 Lec 1
FISH510 Lec 1FISH510 Lec 1
FISH510 Lec 1sr320
 
FISH441 Group Project (Oysters)
FISH441 Group Project (Oysters)FISH441 Group Project (Oysters)
FISH441 Group Project (Oysters)sr320
 
Timmins-Schiffman P2010
Timmins-Schiffman P2010Timmins-Schiffman P2010
Timmins-Schiffman P2010sr320
 
Gavery PCSGA 2010
Gavery PCSGA 2010Gavery PCSGA 2010
Gavery PCSGA 2010sr320
 
Salmon Senescence
Salmon SenescenceSalmon Senescence
Salmon Senescencesr320
 
Roberts GRC
Roberts GRCRoberts GRC
Roberts GRCsr320
 
Herring SNP Sneak Peak
Herring SNP Sneak PeakHerring SNP Sneak Peak
Herring SNP Sneak Peaksr320
 

More from sr320 (20)

Identifying Local Olympia Oyster Stocks Useful for Restoration
Identifying Local Olympia Oyster Stocks Useful for RestorationIdentifying Local Olympia Oyster Stocks Useful for Restoration
Identifying Local Olympia Oyster Stocks Useful for Restoration
 
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?
 
Science Communication and Impact: A Researcher's Perspective
Science Communication and Impact: A Researcher's PerspectiveScience Communication and Impact: A Researcher's Perspective
Science Communication and Impact: A Researcher's Perspective
 
Genomic approaches to assessing ecosystem health
Genomic approaches to assessing ecosystem healthGenomic approaches to assessing ecosystem health
Genomic approaches to assessing ecosystem health
 
Collaborative Genomic Data Analyses in the Cloud
Collaborative Genomic Data Analyses in the CloudCollaborative Genomic Data Analyses in the Cloud
Collaborative Genomic Data Analyses in the Cloud
 
Genomics on the Half Shell: Making Science more Open
Genomics on the Half Shell: Making Science more OpenGenomics on the Half Shell: Making Science more Open
Genomics on the Half Shell: Making Science more Open
 
Epigenetic and Environmental Influences on the Shellfish Immune Response
Epigenetic and Environmental Influences on the Shellfish Immune ResponseEpigenetic and Environmental Influences on the Shellfish Immune Response
Epigenetic and Environmental Influences on the Shellfish Immune Response
 
NSA2012 Short reads and Oyster Genome Resources
NSA2012 Short reads and Oyster Genome ResourcesNSA2012 Short reads and Oyster Genome Resources
NSA2012 Short reads and Oyster Genome Resources
 
Short read sequencing and shellfish
Short read sequencing and shellfishShort read sequencing and shellfish
Short read sequencing and shellfish
 
FISH441: Oyster acidification: gene and protein expression
FISH441: Oyster acidification: gene and protein expression FISH441: Oyster acidification: gene and protein expression
FISH441: Oyster acidification: gene and protein expression
 
FISH441: Oyster Hypoxia and acclimation
FISH441: Oyster Hypoxia and acclimationFISH441: Oyster Hypoxia and acclimation
FISH441: Oyster Hypoxia and acclimation
 
Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011Timmins Schiffman PCSGA 2011
Timmins Schiffman PCSGA 2011
 
Elene Dorfmeier pcsga11
Elene Dorfmeier pcsga11 Elene Dorfmeier pcsga11
Elene Dorfmeier pcsga11
 
FISH510 Lec 1
FISH510 Lec 1FISH510 Lec 1
FISH510 Lec 1
 
FISH441 Group Project (Oysters)
FISH441 Group Project (Oysters)FISH441 Group Project (Oysters)
FISH441 Group Project (Oysters)
 
Timmins-Schiffman P2010
Timmins-Schiffman P2010Timmins-Schiffman P2010
Timmins-Schiffman P2010
 
Gavery PCSGA 2010
Gavery PCSGA 2010Gavery PCSGA 2010
Gavery PCSGA 2010
 
Salmon Senescence
Salmon SenescenceSalmon Senescence
Salmon Senescence
 
Roberts GRC
Roberts GRCRoberts GRC
Roberts GRC
 
Herring SNP Sneak Peak
Herring SNP Sneak PeakHerring SNP Sneak Peak
Herring SNP Sneak Peak
 

Recently uploaded

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 

Recently uploaded (20)

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 

DNA Methylation in Pacific Oysters Exposed to Ocean Acidification

  • 1. DNA Methylation of Crassostrea gigas in Response to Ocean Acidification By Andy Davison, Selina Cho, and Ying- Ying Lin
  • 2. Why do we care about Pacific oysters?
  • 3. Why do we care about ocean acidification?
  • 4. Why do we care about epigenetics?
  • 5. Objectives  Quantify the physiological response of diploid and triploid oysters exposed to various acidified conditions  Implications of varying levels of DNA methylation
  • 10. Results Triploid and diploid oyster mortality for control and high CO2 treatments
  • 11. Restriction Enzyme Digestions PCR All samples show elicit bands (~1140bp) Row 2 sample 4- empty row Row 2 sample 17- same band patterns amp- gigasin 2
  • 12. Hsp70 Bands appeared for both MspI and HpaII samples Smaller, fainter bands under only MspI samples
  • 13. Quantitative PCR control samples showed expression levels with a median of 1.3e-07 hpaII digested samples- median of 2.5e-08 mspI digested samples- median 1.5e-08
  • 14. Methylated Cytosine Dot Blot Methylation most common in both triploid and diploid oysters exposed to low pH conditions 14 of the 22 samples from the low pH treatment showed some level of methylation Four of the 22 samples from the dry treatment showed signs of methylation two of the 18 samples from the high pH, wet treatment demonstrated methylation Samples with 400ng of DNA showed methylation more frequently than 200ng samples All samples of triploid, low pH (400ng) showed methylation
  • 15. Conclusions  What went wrong? ◦ Dot blot ◦ Restriction enzymes  Diploids and Triploids are the same  Phenotypic Plasticity-stress response

Editor's Notes

  1. global production of this species had expanded to 4.38 million tonnes, more than any other species of fish, molluscs or crustacea.
  2. Pacific science association
  3. The objective of this study was to quantify the physiological response of diploid and triploid oysters exposed to various acidified conditions by measuring stress related indicators, specifically DNA methylation, with various molecular techniques. The molecular techniques used were: methylated cytosine dot blots and restriction enzyme digestions amplified by polymerase chain reaction (PCR) and viewed on agarose gel after electrophoresis.
  4. Restriction enzymes, methylated cytosine dot blot, PCR, qPCR gel electrophoresis
  5. Bacterial enzymes that cut at specific recognition sequences. Methylation can prevent cutting (HpaII cannot cut methylated).
  6. Confirming presence of methylated cytosine by antibody (probes) binding
  7. Separation of DNA sizes by electrical field