High-throughput bisulfite sequencing reveals relationships between gene expression and DNA methylation in the bivalve, Crassostrea gigas Mackenzie Gavery.

Slides:



Advertisements
Similar presentations
Kuhlmann et al. Suppl. Figure 4 A bisulfite sequencing CG CHG CHH Δ open: unmethylated filled: methylated.
Advertisements

1 Use a circular template to get redundant reads and so more accuracy. Pacific Biosciences.
Epigenetics Xiaole Shirley Liu STAT115, STAT215, BIO298, BIST520.
Genome Structure/Mapping Lisa Malm 05/April/2006 VCR 221 Lisa Malm 05/April/2006 VCR 221.
Outline Questions from last lecture? P. 40 questions on Pax6 gene Mechanism of Transcription Activation –Transcription Regulatory elements Comparison between.
Microarrays and Cancer Segal et al. CS 466 Saurabh Sinha.
Defective de novo methylation of viral and cellular DNA sequences in ICF syndrome cells Robertson K. et al. Human Molecular Genetics, 2002 Gergana Ugrinova.
BME 130 – Genomes Lecture 7 Genome Annotation I – Gene finding & function predictions.
Microarray Type Analyses using Second Generation Sequencing
Computational Approaches in Epigenomics Guo-Cheng Yuan Department of Biostatistics and Computational Biology Dana-Farber Cancer Institute Harvard School.
Hybridization Diagnostic tools Nucleic acid Basics PCR Electrophoresis
Estrogen and its receptors play an important role in breast carcinogenesis. In humans, there are two subtypes of estrogen receptors (ER), ER  and ER ,
Chris Chander, Luke Adea BioSci D145 Feb. 12, 2015
Committee Meeting April 24 th 2014 Characterizing epigenetic variation in the Pacific oyster (Crassostrea gigas) Claire Olson School of Aquatic and Fishery.
Evidence for lineage-specific DNA methylation patterns in the Pacific oyster Claire Olson Steven Roberts University of Washington School of Aquatic and.
Epigenome 1. 2 Background: GWAS Genome-Wide Association Studies 3.
An Introduction to ENCODE Mark Reimers, VIPBG (borrowing heavily from John Stamatoyannopoulos and the ENCODE papers)
The Genome is Organized in Chromatin. Nucleosome Breathing, Opening, and Gaping.
Genome Sequencing & App. of DNA Technologies Genomics is a branch of science that focuses on the interactions of sets of genes with the environment. –
Vidyadhar Karmarkar Genomics and Bioinformatics 414 Life Sciences Building, Huck Institute of Life Sciences.
Microarrays and Their Uses Brad Windle, Ph.D
Click to edit Master title style Click to edit Master subtitle style CLICKER QUESTIONS For CAMPBELL BIOLOGY, NINTH EDITION Jane B. Reece, Lisa A. Urry,
Wfleabase.org/docs/tilexseq0904.pdf What is all this genome expression? Observations and statistics for expression at the base level April 2009Don Gilbert.
The generalized transcription of the genome Víctor Gámez Visairas Genomics Course 2014/15.
8.6 Gene Expression and Regulation TEKS 5C, 6C, 6D, 6E KEY CONCEPT Gene expression is carefully regulated in both prokaryotic and eukaryotic cells.
Cellular Profiles Exploring gene expression profile patterns Pathways, Profiles and Predictions Brad Windle Associate Professor of Medicinal Chemistry.
Contribution of Epigenetic Variation to Expression Changes Among Tissues and Genotypes Steve Eichten – Springer Lab PAG iPlant Workshop 1/17/12.
Transcriptional - These mechanisms prevent transcription. Posttranscriptional - These mechanisms control or regulate mRNA after it has been produced.
Epigenetic Modifications in Crassostrea gigas Claire H. Ellis and Steven B. Roberts School of Aquatic and Fishery Sciences, University of Washington, Seattle,
Analysis of protein-DNA interactions with tiling microarrays
Recombination breakpoints Family Inheritance Me vs. my brother My dad (my Y)Mom’s dad (uncle’s Y) Human ancestry Disease risk Genomics: Regions  mechanisms.
( ) 2.2 FC autism control FGR1OP2. ( ) 1.4 FC autism control SMAD2.
DNA LIBRARIES Dr. E. What Are DNA Libraries? A DNA library is a collection of DNA fragments that have been cloned into a plasmid and the plasmid is transformed.
Regulation of environmental responses in the Pacific oyster, Crassostrea gigas Mackenzie Gavery University of Washington School of Aquatic and Fishery.
.1Sources of DNA and Sequencing Methods.1Sources of DNA and Sequencing Methods 2 Genome Assembly Strategy and Characterization 2 Genome Assembly.
Effects of ocean acidification on Vibrio tubashii and Crassostrea gigas larvae Elene Dorfmeier University of Washington | S A F S.
MBD-Chip. Workflow: Identify methylated regions Workflow: differential methylation.
PLANT BIOTECHNOLOGY & GENETIC ENGINEERING (3 CREDIT HOURS) LECTURE 13 ANALYSIS OF THE TRANSCRIPTOME.
Affymetrix User’s Group Meeting Boston, MA May 2005 Keynote Topics: 1. Human genome annotations: emergence of non-coding transcripts -tiling arrays: study.
Genomics 2015/16 Silvia del Burgo. + Same genome for all cells that arise from single fertilized egg, Identity?  Epigenomic signatures + Epigenomics:
Identification and characterization of genetic variants in the macrophage expressed lysozyme gene and their effect on lysozyme activity Contribution for.
CAMPBELL BIOLOGY IN FOCUS © 2014 Pearson Education, Inc. Urry Cain Wasserman Minorsky Jackson Reece 18 Genomes and Their Evolution Questions prepared by.
Enhancers and 3D genomics Noam Bar RESEARCH METHODS IN COMPUTATIONAL BIOLOGY.
Bioinformatics for biologists (2) Dr. Habil Zare, PhD PI of Oncinfo Lab Assistant Professor, Department of Computer Science Texas State University Presented.
The Code of Life: Topic 4 Regulation of gene expression.
Relationships among ocean acidification, Vibrio tubiashii and Crassostrea gigas larvae Elene Dorfmeier University of Washington | S A F S Steven Roberts,
Volume 3, Issue 4, Pages (April 2013)
Influence of ocean acidification on Vibrio tubiashii growth and pathogenicity to Pacific oyster larvae Elene Dorfmeier University of Washington | S A F.
Supplementary figure 5.
Epigenetics 04/04/16.
Integrated veterinary unit research (IVRU)
Distribution of CpG dinucleotide in the human genome and differences in methylation patterns between normal and tumor cells. In the majority of the mammalian.
MBD-Chip.
Functional Mapping and Annotation of GWAS: FUMA
Discovery of Multiple Differentially Methylated Regions
Figure 7 miRNA and mRNA gene expression changes in the Poor Group
Structure of proximal and distant regulatory elements in the human genome Ivan Ovcharenko Computational Biology Branch National Center for Biotechnology.
Companion PowerPoint slide set DNA Methylation & Cadmium Exposure in utero An Epigenetic Analysis Activity for Students This teacher slide set was created.
Companion PowerPoint slide set DNA Methylation & Cadmium Exposure in utero An Epigenetic Analysis Activity for Students This teacher slide set was created.
Companion PowerPoint slide set DNA Methylation & Cadmium Exposure in utero An Epigenetic Analysis Activity for Students This teacher slide set was created.
Volume 3, Issue 4, Pages (April 2013)
Jacek Majewski  The American Journal of Human Genetics 
Volume 30, Issue 1, Pages (July 2014)
Agenda 3/16 Eukaryotic Control Introduction and Reading
Epigenetic regulation of miR-193b in liposarcomagenesis.
Volume 126, Issue 6, Pages (September 2006)
Volume 22, Issue 19, Pages (October 2012)
Allelic Skewing of DNA Methylation Is Widespread across the Genome
.1Sources of DNA and Sequencing Methods 2 Genome Assembly Strategy and Characterization 3 Gene Prediction and Annotation 4 Genome Structure 5 Genome.
Methylation of cytosine and consequences of deamination of methyl-C
Presentation transcript:

High-throughput bisulfite sequencing reveals relationships between gene expression and DNA methylation in the bivalve, Crassostrea gigas Mackenzie Gavery & Steven Roberts University of Washington School of Aquatic and Fishery Sciences Seattle, WA USA

Open Science Slides, links and related materials can be found at: oystergen.es/norway

Background DNA methylation in invertebrates Results Characterization of DNA methylation in Pacific oysters Discussion & Future Directions Outline

GENES (DNA) TRAITS color growth disease resistance ENVIRONMENT nutrition pathogens temperature Background

GENES (DNA) EPIGENOME (DNA methylation) TRAITS color growth disease resistance ENVIRONMENT nutrition pathogens Background temperature

GENES (DNA) EPIGENOME (DNA methylation) TRAITS color growth disease resistance ENVIRONMENT nutrition pathogens Background temperature

Me C G C G DNA Methylation

Me C G C G Gene A TF X DNA Methylation

Me C G C G Gene A TF X DNA Methylation VERTEBRATE

Gene A TF X VERTEBRATE DNA Methylation

Gene A TF X VERTEBRATE Gene A INVERTEBRATE DNA Methylation

Gene A TF X VERTEBRATE Gene A INVERTEBRATE DNA Methylation

Gene A TF X VERTEBRATE Gene A ? INVERTEBRATE DNA Methylation

Gene A TF X VERTEBRATE Gene A ? INVERTEBRATE DNA Methylation

Gene A TF X VERTEBRATE Gene A ? INVERTEBRATE DNA Methylation Ancestral pattern

Gene A TF X VERTEBRATE Gene A ? INVERTEBRATE DNA Methylation Ancestral pattern Important regulator of phenotype

DNA Methylation Objectives: Characterize DNA methylation in C. gigas Gain an understanding of the functional role

Part 1

Approach In silico analysis Experimental analysis: MBD-Seq

CpG O/E Predicted degree of DNA methylation Measured degree of DNA methylation Enrichment level in MBD library (Gavery & Roberts, 2010) (Roberts & Gavery, 2011) Part 1: Results

CpG O/E Predicted degree of DNA methylation Measured degree of DNA methylation Enrichment level in MBD library (Gavery & Roberts, 2010) (Roberts & Gavery, 2011) Part 1: Results

CpG O/E Predicted degree of DNA methylation Measured degree of DNA methylation Enrichment level in MBD library (Gavery & Roberts, 2010) (Roberts & Gavery, 2011) Part 1: Results

CpG O/E Predicted degree of DNA methylation Measured degree of DNA methylation Enrichment level in MBD library (Gavery & Roberts, 2010) (Roberts & Gavery, 2011) Part 1: Results

Part 2

genomic DNA Approach High-throughput bisulfite sequencing: Gill tissue Additional resources: RNA-seq data: gill tissue (Zhang et al, 2012)

genomic DNA Part 2 Approach High-throughput bisulfite sequencing: Gill tissue Additional resources: RNA-seq data: gill tissue (Zhang et al, 2012)

> 2.5 million CG dinucleotides Part 2: Results

scaffold 86 (Galaxy Trackster) Part 2: Results ex CG genes exons %methylation 0bp200,000bp 100% 0%

Part 2: Results ex CG genes exons %methylation 0bp200,000bp 100% 0% scaffold 86 (Galaxy Trackster)

Part 2: Results ex CG genes exons %methylation 0bp200,000bp 100% 0% scaffold 86 (Galaxy Trackster)

Part 2: Results ex CG genes exons %methylation 0bp200,000bp 100% 0% scaffold 86 (Galaxy Trackster)

Distribution in genomic elements Part 2: Results

Distribution in genomic elements Part 2: Results

Relationship with expression

RNA-Seq data (Zhang et al., 2012) Part 2: Results Relationship with expression Gene expression (Deciles) DNA methylation/gene

Part 3

Approach: High-throughput bisulfite sequencing: Gill tissue Part 3

Approach: High-throughput bisulfite sequencing: Gill tissue Male gamete (sperm) tissue Part 3

Part 3: Results genes %methylation: gill CG %methylation: sperm 0bp 6,000bp

Part 3: Results genes %methylation: gill CG %methylation: sperm 0bp 6,000bp

Part 3: Results genes %methylation: gill CG %methylation: sperm 0bp 6,000bp

Part 3: Results Identify differential methylation (DM)

Part 3: Results Identify differential methylation (DM)

Part 3: Results Identify differential methylation 1/3 of all genes had DM

Summary

unmethylatedmethylated

Gene function: Summary unmethylatedmethylated

Gene function: Summary unmethylated inducible housekeeping methylated

Gene function: Expression: Summary unmethylated inducible housekeeping methylated

Gene function: Expression: Summary unmethylated inducible low housekeeping high methylated

Gene function: Expression: Summary unmethylated inducible low housekeeping high methylated Tissue specific methylation:

Gene function: Expression: Tissue specific methylation: Summary unmethylated inducible low housekeeping high methylated patterns change at fine-scale

Gene function: Expression: Tissue specific methylation: Summary unmethylated inducible low housekeeping high methylated patterns change at fine-scale Role of methylation in introns:

Gene function: Expression: Tissue specific methylation: Summary unmethylated inducible low housekeeping high methylated unknown Role of methylation in introns: patterns change at fine-scale

Gene function: Expression: Tissue specific methylation: Summary unmethylated inducible low housekeeping high methylated Role of methylation in inter-genic regions: unknown Role of methylation in introns: patterns change at fine-scale

Gene function: Expression: Tissue specific methylation: Summary unmethylated inducible low housekeeping high methylated Role of methylation in inter-genic regions: unknown Role of methylation in introns: unknown patterns change at fine-scale

Next Steps GENES (DNA) EPIGENOME (DNA methylation)

Explore relationships between DNA methylation and alternative splicing Determine if DNA methylation mediates response to environmental stress in shellfish Tool development: DNA tiling array (MeDIP-Chip) Next Steps GENES (DNA) EPIGENOME (DNA methylation)

Acknowledgements Roberts Lab: Steven Roberts Samuel White Brent Vadopalas Emma Timmins-Schiffman Claire Ellis Lisa Crosson Taylor Shellfish: Jonathan Davis Molly Jackson website: oystergen.es/norway