“Recent next generation sequencing results” MACHADO LAB.

Slides:



Advertisements
Similar presentations
Single Nucleotide Polymorphism And Association Studies Stat 115 Dec 12, 2006.
Advertisements

Chapter 23: The Evolution of Populations
Lecture 4 Genetics & Wildlife Passenger pigeon Hamster Dodo Wood’s cycad.
Genetic Basis of Agronomic Traits Connecting Phenotype to Genotype Yu and Buckler (2006); Zhu et al. (2008) Traditional F2 QTL MappingAssociation Mapping.
Variation. 9.1 Phenotypic variation caused by genetic differences and by the environment Genetic variation is the foundation of evolution Understanding.
Plant of the day! Pebble plants, Lithops, dwarf xerophytes Aizoaceae
Sequencing Neanderthal DNA
Signatures of Selection
Biology and Bioinformatics Gabor T. Marth Department of Biology, Boston College BI820 – Seminar in Quantitative and Computational Problems.
Evolutionary Genome Biology Gabor T. Marth, D.Sc. Department of Biology, Boston College Medical Genomics Course – Debrecen, Hungary, May 2006.
Human Migrations Saeed Hassanpour Spring Introduction Population Genetics Co-evolution of genes with language and cultural. Human evolution: genetics,
CS273a Lecture 1, Autumn 10, Batzoglou DNA Sequencing.
Mendel and the Gene Idea Marie Černá – Gregor Mendel.
Chapter 17: Evolution of Populations
Constant Allele Frequencies Hardy-Weinberg Equilibrium.
The Mechanisms of Evolution Essential Question: How does evolution occur beyond Natural Selection?
Biodiversity IV: genetics and conservation
Chapter 4 Heredity and Evolution. Hybrids Offspring of mixed ancestry; heterozygotes. Principle of segregation Genes (alleles) occur in pairs (because.
Module 7: Estimating Genetic Variances – Why estimate genetic variances? – Single factor mating designs PBG 650 Advanced Plant Breeding.
Population GENETICS.
Evolutionary genetics Charles Darwin. Darwin’s theory of evolution through natural selection 1.Principle of variation Among individuals within any population,
Biology 101 DNA: elegant simplicity A molecule consisting of two strands that wrap around each other to form a “twisted ladder” shape, with the.
Abstract To understand the population dynamics in rice we conducted detailed sequence study in 32 accessions of rice (10 japonica, 7 indica, 10 Asiatic.
Agropolis Resource Center for Crop Conservation, Adaptation and Diversity Jean-Louis Pham Jean-Pierre Labouisse
CS177 Lecture 10 SNPs and Human Genetic Variation
For natural selection to work – traits must vary Individuals & pop’ns do vary extensively –Beaks of G. fortis –Color spots on guppies Existing variation.
Genetics and Speciation
Utilizing Genomics in genetic improvement Molecular genetics as a tool in wildlife breeding, management and conservation (An African Buffalo case study)
Mechanisms of Evolution & their Effects on Populations.
Chapter 24: Molecular and Genomic Evolution CHAPTER 24 Molecular and Genomic Evolution.
Experimental Design and Data Structure Supplement to Lecture 8 Fall
Quantitative Genetics. Continuous phenotypic variation within populations- not discrete characters Phenotypic variation due to both genetic and environmental.
Complex Traits Most neurobehavioral traits are complex Multifactorial
Patterns of divergent selection from combined DNA barcode and phenotypic data Tim Barraclough, Imperial College London.
Quantitative Genetics
Models of Molecular Evolution III Level 3 Molecular Evolution and Bioinformatics Jim Provan Page and Holmes: Sections 7.5 – 7.8.
Polysubstance Abuse–Vulnerability Genes: Genome Scans for Association, Using 1,004 Subjects and 1,494 Single-Nucleotide Polymorphisms Uhl, Liu, Walther,
Chapter 5 The Content of the Genome 5.1 Introduction genome – The complete set of sequences in the genetic material of an organism. –It includes the.
MEME homework: probability of finding GAGTCA at a given position in the yeast genome, based on a background model of A = 0.3, T = 0.3, G = 0.2, C = 0.2.

A group of individuals that look similar and whose members are capable of producing fertile offspring.
Conservation Genetics
Simple-Sequence Length Polymorphisms SSLPs Short tandemly repeated DNA sequences that are present in variable copy numbers at a given locus. Scattered.
E VOLUTION. T ERMS TO KNOW Population Members of the same species living in the same area Genome Genetic make-up of an organism (DNA) Allele A variation.
Computational Biology and Genomics at Boston College Biology Gabor T. Marth Department of Biology, Boston College
Evolutionary Genome Biology Gabor T. Marth, D.Sc. Department of Biology, Boston College
1 Comparative analyses of the potato and tomato transcriptomes David Francis, AllenVan Deynze, John Hamilton, Walter De Jong, David Douches, Sanwen Huang,
Overview What is Plant Breeding? Basic Genetics Mendelian Genetics
Announcement NSERC Undergraduate Student Research Awards (USRA) in Universities 16 weeks $5,625
Simple-Sequence Length Polymorphisms
Common variation, GWAS & PLINK
MOLECULAR MARKERS.
Chapter 16 Section 1 Genes and Variation
Gil McVean Department of Statistics
Introduction to Mendelian Genetics
Laurie S. Stevison Suzanne E. McGaugh Mohamed A. F. Noor
Questions Is there selection for an intermediate level of population
15-2 Mechanisms of Evolution
Relationship between Genotype and Phenotype
Diversity of Individuals and Evolution of Populations
Genome-wide Associations
EVOLUTION and SPECIATION
In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining.
Genetic Equilibrium Population genetics looks at evolution at the genetic level Types of Evolution: Convergent Evolution Different species evolve similar.
Caroline Durrant, Krina T. Zondervan, Lon R
Modes of selection.
Volume 9, Issue 7, Pages (July 2016)
Relationship between Genotype and Phenotype
Mapping of srt1 by BSA-seq.
Presentation transcript:

“Recent next generation sequencing results” MACHADO LAB

SPRING 2013

…….

Phylogeny reconstruction

Population Genetics

My Sequence output: Graduate Student~440 Kb Postdoc~850 Kb Now… Rice project~430 Gb

My Sequence output: Graduate Student~440 Kb Postdoc~850 Kb Now…using NGS.. Rice project~430 Gb (Only 41 “experiments”)

Methods to study the Transcriptome Variety of methods, Illumina is the most common DNA RNA DNA RNA

Next Generation Sequence is also used to study gene expression The short fragments are mapped to the genome Number of mapped reads correlated with expression level RNA-Seq

Phylogeny of a human pathogen (32 genes) Carlos Flores-Lopez Sequencing >24 genomes from Trypanosoma cruzi to characterize history of gene exchange and identify genes under selection Uses of NGS: Phylogenomics

Uses of NGS: Mapping Find genomic regions underlying phenotypic differences NGS: sequence pools to identify candidate regions, or genotype using NGS-based methods (e.g. RAD tags)

psebog x pse x F1 x x Fertile Sterile Fertile D. pseudoobscura vs D. p. bogotana F1 Fertile Levi Teitz Uses of NGS: Mapping Sequencing pools of fertile and sterile 5 th generation backcrossed males to identify genomic regions associated with hybrid male sterility

1 st instar h 1 st instar h 3 rd instar h 3 rd instar h Pupa (yellow) 8-16 h after puparium formation Pupa (yellow) 8-16 h after puparium formation Adult 7 day old Adult 7 day old D. pseudoobscura (4) D. persimilis (3) H1 (♀pse x ♂per) D. pseudoobscura (4) D. persimilis (3) H1 (♀pse x ♂per) Uses of NGS: Studying the transcriptome Kevin Nyberg Kawther Abdilleh Patterns of sex-bias and expression divergence during development, expression and evolution of ncRNAs, evolution of coexpressed genes and networks

Uses of NGS: Understanding the history and genetic basis of domestication

O. glaberrima O. barthii African rice domestication 41 resequenced individuals (~30X)

Identification of candidate regions harboring adaptive genes associated with the domestication process Strong directional selection expected to cause selective sweeps in genomic regions associated with phenotypes under selection Artificial selection during domestication and crop improvement involves selection of specific alleles at genes controlling key morphological and agronomic traits, and result in reduced genetic diversity relative to unselected genes.

Chromosome Nucleotide diversity by chromosome (100 Kb windows) Π per 100Kb P < Every chromosome

Chromosome Significant regions>200Kb >300Kb Total Regions with significantly low polymorphism ratios (“ROD”, 100 Kb windows). Empirical distribution used to determine significance (5% tail of distribution)

Uses of NGS: Making dreams come true.. Addressing questions in non-model organisms with no genomic resources

Under neutrality a positive correlation between levels of genetic polymorphism (heterozygosity) and population size is expected. Larger populations are expected to harbor more genetic variation H = 4N  /(1+ 4N  )

Weak correlation between population size and variation Modified from Nevo et al. (1984)

Proportion of single foundress broods (pollinating wasps, Pegoscapus sp.) Nucleotide diversity   Inbreeding  P =  P = COI (mtDNA)

Nuclear marker: 1G04  p < ;  p <  

Population structure can be quantified using: 1. Proportion of broods with different numbers of foundresses 2. Genetic data

Uses of NGS: Making dreams come true.. Collecting RNAseq data to characterize levels and patterns of genetic variation across multiple (5-10) species with different mating system (along a continuum of inbreeding levels) and across thousands of genes.

“Recent next generation sequencing results” MACHADO LAB