Genomic Resources and Gene/QTL Discovery in Livestock

Similar documents
latestdevelopments relevant for the Ag sector André Eggen Agriculture Segment Manager, Europe

The promise of genomics for animal improvement. Daniela Lourenco

Bioinformatics Advice on Experimental Design

Domestic animal genomes meet animal breeding translational biology in the ag-biotech sector. Jerry Taylor University of Missouri-Columbia

Overview. 50,000 Markers on a Chip. Definitions. Problem: Whole Genome Selection Project Involving 2,000 Industry A.I. Sires

Next-generation sequencing technologies

The powerful new genomic selection tool. Built By Angus Genetics Inc.

GENOTYPING-BY-SEQUENCING USING CUSTOM ION AMPLISEQ TECHNOLOGY AS A TOOL FOR GENOMIC SELECTION IN ATLANTIC SALMON

resequencing storage SNP ncrna metagenomics private trio de novo exome ncrna RNA DNA bioinformatics RNA-seq comparative genomics

High Throughput Sequencing the Multi-Tool of Life Sciences. Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center

Wet-lab Considerations for Illumina data analysis

Advances in genomic technologies and understanding infection

Introduction to BIOINFORMATICS

DNBseq TM SERVICE OVERVIEW Plant and Animal Whole Genome Re-Sequencing

DNA. bioinformatics. genomics. personalized. variation NGS. trio. custom. assembly gene. tumor-normal. de novo. structural variation indel.

Daniela Lourenco, Un. of Georgia 6/1/17. Pedigree. Individual 1. Individual 2

Introduction to Bioinformatics and Gene Expression Technologies

Introduction to Bioinformatics and Gene Expression Technologies

Introduction to RNA-Seq in GeneSpring NGS Software

High Throughput Sequencing the Multi-Tool of Life Sciences. Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center

An introduction to RNA-seq. Nicole Cloonan - 4 th July 2018 #UQWinterSchool #Bioinformatics #GroupTherapy

G E N OM I C S S E RV I C ES

Transcriptomics analysis with RNA seq: an overview Frederik Coppens

Plant Breeding and Agri Genomics. Team Genotypic 24 November 2012

January 1967 Denver, CO

Illumina Custom Capabilities: Amplicons, Enrichment and iselect

Matthew Tinning Australian Genome Research Facility. July 2012

Genome Resequencing. Rearrangements. SNPs, Indels CNVs. De novo genome Sequencing. Metagenomics. Exome Sequencing. RNA-seq Gene Expression

The Expanded Illumina Sequencing Portfolio New Sample Prep Solutions and Workflow

The Diploid Genome Sequence of an Individual Human

The Genome Analysis Centre. Building Excellence in Genomics and Computa5onal Bioscience

Developing Accurate Parentage Markers for Cattle: From BSE Traceback to 50k SNP Chips. Gary Bennett

Traditional Genetic Improvement. Genetic variation is due to differences in DNA sequence. Adding DNA sequence data to traditional breeding.

Illumina s Suite of Targeted Resequencing Solutions

Cancer Genetics Solutions

Revolutionizing genetics in the cattle industry. Extensive toolset. Proven technology. Collaborative approach.

The what, why and how of Genomics for the beef cattle breeder

02 Agenda Item 03 Agenda Item

Next Genera*on Sequencing II: Personal Genomics. Jim Noonan Department of Gene*cs

How much sequencing do I need? Emily Crisovan Genomics Core

Genetics of Beef Cattle: Moving to the genomics era Matt Spangler, Assistant Professor, Animal Science, University of Nebraska-Lincoln

How much sequencing do I need? Emily Crisovan Genomics Core September 26, 2018

Validating Genetic Markers

From Genotype to Phenotype

About Strand NGS. Strand Genomics, Inc All rights reserved.

RNA-Sequencing analysis

Gene expression analysis. Biosciences 741: Genomics Fall, 2013 Week 5. Gene expression analysis

High Cross-Platform Genotyping Concordance of Axiom High-Density Microarrays and Eureka Low-Density Targeted NGS Assays

Lecture #1. Introduction to microarray technology

Capabilities & Services

Creating Premium Beef Maximizing Dairy Profit

Question. In the last 100 years. What is Feed Efficiency? Genetics of Feed Efficiency and Applications for the Dairy Industry

Alison Van Eenennaam, Ph.D. Cooperative Extension Specialist

Total genomic solutions for biobanks. Maximizing the value of your specimens.

Genomic resources. for non-model systems

Introduction to Bioinformatics and Gene Expression Technology

solid S Y S T E M s e q u e n c i n g See the Difference Discover the Quality Genome


Genetic Analysis Platform. Wendy Winckler, Ph.D. October 7, 2010

14 March, 2016: Introduction to Genomics

Biology 644: Bioinformatics

Genomic Prediction in Hereford Cattle

The New Genome Analyzer IIx Delivering more data, faster, and easier than ever before. Jeremy Preston, PhD Marketing Manager, Sequencing

NextGen Sequencing and Target Enrichment

Services Presentation Genomics Experts

Development and implementation of genomic methods in beef cattle genetic improvement in Australia. Rob Banks (AGBU) Alex McDonald (ABRI)

Fruit and Nut Trees Genomics and Quantitative Genetics

Pioneering Clinical Omics

Surely Better Target Enrichment from Sample to Sequencer and Analysis

Producer Uptake: How might genomic information be translated to industry outcomes? Alison Van Eenennaam, Ph.D.

DNA METHYLATION RESEARCH TOOLS

Enabling Genomic Technologies to support The Strategic Research Programme in Diabetes (

Aaron Liston, Oregon State University Botany 2012 Intro to Next Generation Sequencing Workshop

Experimental Design. Sequencing. Data Quality Control. Read mapping. Differential Expression analysis

The Agilent Technologies SureSelect Platform for Target Enrichment

Measuring and Understanding Gene Expression

ebeef was developed as part of USDA NIFA grants # # # Animal Genomics and Biotechnology Education

Training materials.

Introducing combined CGH and SNP arrays for cancer characterisation and a unique next-generation sequencing service. Dr. Ruth Burton Product Manager

Enhancing End Product

DNA. bioinformatics. epigenetics methylation structural variation. custom. assembly. gene. tumor-normal. mendelian. BS-seq. prediction.

From Science to Reality

Farmed animal genomes status and where next

Outline. General principles of clonal sequencing Analysis principles Applications CNV analysis Genome architecture

Introduction to RNA-Seq. David Wood Winter School in Mathematics and Computational Biology July 1, 2013

Global perspectives on trait ontology and phenotyping of livestock: examples from functional genomics and modeling in beef-producing animals

SELECTION FOR IMPROVED FEED EFFICIENCY: A GENOMICS APPROACH. Matt Spangler, Ph.D. University of Nebraska-Lincoln

Global Screening Array (GSA)

Could modern methods of genetics improve the disease resistance in farm animals?

Crash-course in genomics

The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction

Sequence Assembly and Alignment. Jim Noonan Department of Genetics

Agrigenomics Genotyping Solutions. Easy, flexible, automated solutions to accelerate your genomic selection and breeding programs

Genome Analyzer. RNA ChIP

Illumina Genome Analyzer. Progenika Experience. - Susana Catarino -

Development and characterization of a high throughput targeted genotypingby-sequencing solution for agricultural genetic applications

Understanding the science and technology of whole genome sequencing

Transcription:

Genomic Resources and Gene/QTL Discovery in Livestock Jerry Taylor University of Missouri FAO Intl Tech Conf on Agric Biotech in Dev Count, Guadalajara, March 2 nd 2010

5/7/2010 http://animalgenomics.missouri.edu 2 Outline Available Genomic Tools Next generation sequencers High throughput SNP genotyping Arrays Available Populations Prospects for QTL Discovery Or why we need Genomic Selection!!

5/7/2010 http://animalgenomics.missouri.edu 3 Next-Gen Sequencers Rapidly Evolving MU GAIIx (v4.0 chemistry & v1.4 base calling) yields 2.8 Gb/lane New platforms with enhanced capabilities Cost/Mb is decreasing Numerous Applications RNAseq Genome resequencing De novo assembly Mutation discovery ChIPseq Small non-coding RNAs DNA methylation (esp. Pac Biosciences) Democratizing Genomics! Developing countries and small labs can be genome centers!!!

5/7/2010 http://animalgenomics.missouri.edu 4 MU DNA Core Service Costs Library Preparation USD Genome Sequencing Sample Preparation* (Paired-End Adapters) $225 Digital Gene Expression (DGE)- small RNA Sample Preparation $445 cdna Sample Preparation* $225 ChIP-Seq Sample Preparation* $225 mrna-seq Sample Preparation** $500 Analysis USD Raw Data Output/Flow Cell (Gb) Single Read (42 bases) $828.57/lane ($5,800/Flow Cell) 5-6Gb Single Read (84 bases) $1,414.29/lane ($9,900/Flow Cell) 11-12Gb Paired-End Read (2x42 bases) $1,657.14/lane ($11,600/Flow Cell) 11-12Gb Paired-End Read (2x84 bases) $2157.14/lane ($15,100/Flow Cell) 22-23Gb $3000 for 1X mammalian genome sequence coverage!!!

RNASeq pileup over VIPR1 5/7/2010 http://animalgenomics.missouri.edu 5

5/7/2010 http://animalgenomics.missouri.edu 6 Public Genomic Resources Whole genome sequence on African, Asian, European cattle breeds will soon be publicly available Whole genome sequencing of 120 animals from 12 breeds Genome Coverage Average Read Length Unfiltered SNPs Library GAIIx Lanes Post Filter Reads Total Bases (2.685 Gb = 1X) (bp) and Indels Brahman (10) 20 335,962,867 23,485,537,782 8.74 69.91 19,901,328 East Hanwoo Asian (15) 32 497,458,572 35,220,941,134 13.11 70.80 18,662,313 Angus (3) 54 877,918,406 67,112,512,237 24.99 76.45 14,797,621 AN626 18 310,024,359 23,565,486,109 8.77 76.01 AN828 18 289,562,373 22,621,184,219 8.42 78.12 AN1717 18 278,331,674 20,925,841,909 7.79 75.18 All libraries 106 1,711,339,845 125,818,991,153 46.85 73.52

5/7/2010 http://animalgenomics.missouri.edu 7 Advantages/Disadvantages Advantages Relatively inexpensive and fast Enormous information content Species independent technology Will make redundant many other forms of technology Microarrays Genotyping Disadvantages Suites of analysis tools only just becoming available Require major compute horsepower (~$40K Servers) Analysis is non-trivial requires training/experience

5/7/2010 http://animalgenomics.missouri.edu 8 First generation assays (~50K SNPs) available for Chicken, Pig, Sheep, Cow, Horse, Dog Under development for salmon, tilapia, catfish Second generation assays (~800K SNPs) available summer 2010 Utility: Genome-wide association mapping (GWAS) Genomic Selection High-Throughput SNP Chips Population genetics/conservation biology

5/7/2010 http://animalgenomics.missouri.edu 9 Advantages/Disadvantages Advantages Rapid data generation Highly accurate and complete data Work across species (30 MY evolution) Relatively inexpensive (research) Rapid research to commercialization for GS Data analysis very similar to BLUP genetic evaluation Service providers available (e.g., GeneSeek) Available in 96, 384, 1536, 3072, 50K, 800K Disadvantages Relatively expensive (commercialization) Available analysis tools (e.g., PLINK, ASREML) Contain common variants (SNP ascertained)

5/7/2010 http://animalgenomics.missouri.edu 10

5/7/2010 http://animalgenomics.missouri.edu 11 Arrays Genome-wide oligo microarrays available for chicken, cattle, sheep, pigs Availably commercially (Agilent, Illumina, Affymetrix) or through species consortia (BOM: bovineoligo.org; SPAM: pigoligoarray.org) CNV, Sequence Capture (e.g., exon, target regions), CpG arrays by custom design (e.g., Nimblegen, Agilent)

5/7/2010 http://animalgenomics.missouri.edu 12 Gene Expression Microarrays Advantages Relatively inexpensive ($55 per array + RNA extraction and labeling kits etc = ~$250 per sample) but require replication!!!!! Analysis tools readily available (e.g., R open source) Available for many species Disadvantages Nontrivial chemistry Non exhaustive (not all genes are queried) Probes only for one exon (alternate splicing, promoter and 3 UTR utilization missed) Not available for all species All Arrays NextGen sequencing will make most arrays redundant

5/7/2010 http://animalgenomics.missouri.edu 13 Available Populations The greatest limitation to all genomic technologies previous and imminent is that we do not have populations of animals with high-quality DNA, tissue samples and phenotypes... In the US The only population with adequate numbers of animals to build accurate GS prediction models is Holsteins Angus 2,700 AI bulls with EPDs Angus 3,500 steers with growth and carcass composition Angus 700 steers with feed intake Limousin 2,200 registered males and females with EPDs Angus (660), Limousin (285), Charolais (702), Hereford (1192), Simmental (521) with meat tenderness Worldwide priority is assembly of populations and phenotypes

5/7/2010 http://animalgenomics.missouri.edu 14 Too Many Genes for MAS!!!

5/7/2010 http://animalgenomics.missouri.edu 15 Use Experimental Populations to Produce EBVs for an Entire Breed Warner Bratzler Shear Force in Angus Calpastatin Calpain

5/7/2010 http://animalgenomics.missouri.edu 16 Genomic Selection!

5/7/2010 http://animalgenomics.missouri.edu 17 Genomic Selection with Reduced SNP Sets

The End 5/7/2010 http://animalgenomics.missouri.edu 18