Committee Meeting 1 Emma Timmins-Schiffman May 21, 2010.

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Presentation transcript:

Committee Meeting 1 Emma Timmins-Schiffman May 21, 2010

Outline Guiding Themes of Research Title & Objectives Objective 1 Approaches Objective 2 Approaches Objective 3 Approaches Accomplishments to Date Future Perspectives

Guiding Themes of Research How do environmental changes affect populations? ▫Organism perspective: changes in physiology ▫Long-term perspective: changes in population dynamics & genetics Focus on the model organism Pacific oyster, Crassostrea gigas

Outline Guiding Themes of Research Title & Objectives Objective 1 Approaches Objective 2 Approaches Objective 3 Approaches Accomplishments to Date Future Perspectives

Title The Effects of Human-mediated Environmental Change on the Physiology of the Pacific Oyster, Crassostrea gigas: Immediate & Long-term Perspectives

Objective 1 Characterize the physiological response of bivalves to stressors of environmental change. ▫Laboratory trials

Objective 2 Assay the effects of local environmental parameters and contaminants on wild sets of C. gigas. ▫Environmental sampling ▫Apply results from 1 + gene discovery

Objective 3 Determine the population genetic resources available for potential adaptation to environmental change. ▫Discover adaption-correlated SNPs

Outline Guiding Themes of Research Title & Objectives Objective 1 Approaches Objective 2 Approaches Objective 3 Approaches Accomplishments to Date Future Perspectives

Objective 1: Characterize the physiological response of bivalves to stressors of environmental change.

What causes hatchery mortality events? How do oysters respond physiologically to environmental stress? How do changes in the environment affect the host-pathogen relationship? Develop a predictive assay of markers indicative of individual and multiple stressors. Objective 1 Approaches

Laboratory trials ▫Single -> dual -> multiple stressors ▫Host only (larvae) & host + pathogen (Vibrio tubiashii) pH: 380 & 840 pCO2 Temperature: 12C & 25C Stages of development: D-hinge, veliger, pediveliger Temp. Pathogen pH Metal

Objective 1 Approaches Challenges ▫2 weeks each – get larvae & algae from hatchery before each trial period 5/31: grow larvae with algae – sample for baseline 6/7: CO 2 challenges 6/21: CO 2 + Vt challenges 7/5: metal bioavailability FHL: pathogen + CO 2 + temperature

Objective 1 Approaches Sampling protocol ▫4-8 chambers per treatment ▫2 draws of larvae each day from each chamber ▫~ larvae for each draw (sample /day per chamber) Sample 11,200-44,800 larvae per treatment period Need at least 50,000 larvae every 2 weeks

Objective 1 Approaches Measuring the effects of the treatments on oyster larvae ▫Gene expression ▫Mortality ▫Behavior Results will provide information on lethal and non-lethal effects of stressors

Objective 1 Approaches Gene expression ▫Determine impacted physiological pathways ▫Develop assays for future applications Methods ▫Targeted genes ▫Differential display ▫General stress: Western blot

Objective 1 Approaches Behavior ▫Settlement – shell in bottom of chamber ▫Development time ▫Shell dissolution ▫Lipid content – effects on nutrition Miller et al. 2009

Objective 1 Approaches Intra-system microbial community ▫1 mL water from each chamber each day ▫Filter out larvae ▫Vacuum filter sample Extract DNA & PCR for specific pathogens

Objective 2: Assay the effects of local environmental parameters and contaminants on wild sets of C. gigas.

Objective 2 Approaches How is larval response different inside the hatchery? Are there different stresses and responses around Puget Sound? ▫How does this affect oyster phenotype?

Objective 2 Approaches Hatchery sampling ▫Oyster larvae (C. gigas) ▫Microbial community Puget Sound sampling ▫Sibling juveniles (C. gigas) ▫Passive sampling devices

Objective 2 Approaches Hatchery sampling – what are the oyster larvae experiencing now? ▫Early spring-summer, 2 years ▫Netarts, OR & Quilcene, WA (hatcheries) ▫Netarts Bay & Dabob Bay (field) ▫Inside vs. outside hatchery Metrics ▫Candidate genes (assay) & Western blot ▫Environment: salinity, temperature, alkalinity & DIC, V. tubiashii ▫Settlement (spat collectors at Taylor?)

Objective 2 Approaches Details of hatchery oyster sampling ▫Outside (weekly)  Pump near water intake  Salinity, T, pCO2, pH, plankton, V. tubiashii ▫Inside (weekly)  Oyster larvae tanks (2 reps per tank, 3 tanks)  T, alkalinity, DIC, salinity, V. tubiashii Complementary data from Netarts for comparison?

Objective 2 Approaches Environmental sampling of microbial communities at Quilcene hatchery (weekly) ▫Sample at locations inside and outside of hatchery Use ARISAs to characterize microbial community structure ▫How is it affected by different environmental conditions? ▫Are there predictors of mortality events?

Objective 2 Approaches Lab data + environment data -> oyster response to environmental stress Specific impacts – which stressors are responsible? Oyster as proxy for ecosystem health

Objective 2 Approaches Semi-monthly sampling of 3 sites in Puget Sound with different human impact levels ▫C. gigas sibling juveniles Sampling scheme ▫Gills – gene expression & epigenetics ▫Hemocytes – immune response ▫Growth & mortality

Objective 2 Approaches Monitor contaminants at sampling sites Use passive sampling devices (2 kinds that collect complementary data) Measure: ▫Pharmaceuticals ▫Personal care products ▫POPs Deploy at sampling sites ▫Change devices every month Results: Which contaminants are the most problematic for oyster & ecosystem health?

Objective 3: Determine the population genetic resources available for potential adaptation to environmental change.

Objective 3 Approaches Are there genotypes linked to potential for adaptation in climate change? How will current and future change affect Ne and other population genetic parameters? How does environmental change modify the genetic profile of populations? Are there inter-species differences in potential for adaptation?

Objective 3 Approaches During laboratory stress trials, sample pre- and post- trial larvae Find SNPs using existing NGS data ▫Which SNPs are consistently different between mortalities & survivors? ▫Are the SNPs associated with any genes?

Objective 3 Approaches Links to Objective 1 ▫Same larvae used for physiology analysis – genotype-phenotype link Genetic diversity in survivors ▫Does environmental change create a bottleneck? Do different SNPs have a functional significance at the population level? N Environment Ne

Objective 3 Approaches Olympia oysters, Ostrea lurida ▫Wild population ▫Inter-species difference in environmental response Distribution of SNPs throughout Puget Sound area ▫Sample wild larvae: 2 locations, twice during season ▫Same challenge trials as C. gigas ▫Use NGS to find SNPs

Outline Guiding Themes of Research Title & Objectives Objective 1 Approaches Objective 2 Approaches Objective 3 Approaches Accomplishments to Date Future Perspectives

Accomplishments to Date Stress trials of C. gigas ▫Juvenile & adult C. gigas and elevated CO2 and V. tubiashii presence ▫Juveniles challenged with V. tubiashii ▫Juveniles challenged with copper nitrate ▫Maintain larvae in experimental larval chambers

Accomplishments to Date Adult & juvenile C. gigas + V. tubiashii Control CO 2, no disease High CO 2, no disease Adults: n=8 Juveniles: n=16 Adults: n=8 Juveniles: n=16 Adults: n=8 Juveniles: n=8 Adults: n=8 Juveniles: n=8

Preliminary Results Up-regulation of Prx6 to elevated CO2 and to secondary stress of V. tubiashii.

Preliminary Results Up-regulation of IL-17 in exposure to elevated CO2 and secondary stressor V. tubiashii.

Differential Display: Response to CO 2 Primer SetblastxEST 10TGF-B-inducible nuclear protein 12 (200 bp)Chaperonin subunit Cg in temp. stress 38NADH dehydrogenase Cg 18Beta-tubulinOyster stress 9Matrilin (ECM)Oyster stress

Response to V. tubiashii Juvenile C. gigas challenged with bacteria for 3 hours.

GO from Sigenae & SwissProt: metal binding n = 470

Genes of Interest  Thioredoxin reductase: thioredoxin reductase, glutaredoxin and gluathione reductase activities. Catalyzes disulfide bond isomerization.  Fatty acid desaturase: catalyzes biosynthesis of highly unsaturated fatty acids.  mRNA decapping enzyme: degradation of mRNA in turnover and decay.  Hematopoietic prostaglandin D synthase: implicated in smooth muscle function & exhibits low glutathione peroxidase activity.  Copper-transporting ATPase: in copper excess, functions in efflux of copper from cells.

Outline Guiding Themes of Research Title & Objectives Objective 1 Approaches Objective 2 Approaches Objective 3 Approaches Accomplishments to Date Future Perspectives

Timeline MayJuneJulyAugSeptOctNovDecJanFebMarchAprilMayJuneJulyAugSeptOctNovDecJanFebMarchAprilMayJuneJulyAugSeptOctNovDecJanFebMarchAprilMayJuneJulyAugSeptOctNovDecJanFebMarchAprilMay Obj 1C. gigas larval challenges RNA Extraction & qPCR (& DNA Obj 3) Gene Expression Analysis Behavior Analysis Microbial DNA Extraction & PCR Analysis of Microbial Results Write Paper on Cg Physiology Obj 2Hatchery larvae sampling RNA Extraction & qPCR Analysis of qPCR Analysis of Environment-Physiology Hatchery micribial community sampling ARISAs & Analysis Puget Sound outplanted juvenile sampling & PSDs Juvenile RNA extraction & qPCR Analysis of juvenile qPCR Analysis of PSD results Write Paper on larvae-envt-microbe Write Paper on contaminants & oysters Obj 3Find SNPs for C. gigas & make primers SNP Genotyping & Analysis Sample wild O. lurida larvae O. lurida larval challenges NGS of O. lurida O. lurida SNP analysis Write paper on adaptive SNPs in C. gigas Write paper on SNPs O. lurida vs. C. gigas SISG FHL Write Dissertation

Short-term Goals Establish regular sampling procedure ▫Outplant juvenile sibling C. gigas week of September 6, 2010 Begin stress trials ▫Trouble-shoot system ▫Feasibility of multiple stressors ▫Get larvae, grow food Design project for FHL Grants!!

Plan of Study Completed courses ▫Stats ▫Histology of Disease ▫Integrative Environmental Physiology ▫Proposal Writing ▫Literature seminar ▫R Programming Intended courses ▫Climate Science seminar ▫Multivariate statistics ▫FHL ▫SISG ▫Genomics ▫Population genetics ▫Statistics for genome sciences