Naomi Ziv, Mark Siegal and David Gresham

Slides:



Advertisements
Similar presentations
Potato Mapping / QTLs Amir Moarefi VCR
Advertisements

A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae Article by Peter Uetz, et.al. Presented by Kerstin Obando.
Chromosome Number - Is how many chromosomes a cell has
Experimental Design and Data Structure Supplement to Lecture 8 Fall
Background The passage of genetic information is critical to the reproduction of cells Genes are segments of DNA representing units of hereditary information.
Chapter 13 Meiosis & Sexual Life Cycles Offspring acquire genes from parents by inheriting chromosomes Genes Segments of DNA that code for heredity.
Genetics Lecture II Meiosis The formation of gametes aka. Gametogenesis.
Quantitative analysis of genetic and environmental factors determining variation in cell growth Naomi Ziv, Mark Siegal and David Gresham Center for Genomics.
Mapping of high temperature growth genes derived from industrial yeast strains Justin Goh, Richard Gardner School of Biological Sciences, University of.
Inheritance and Sexual Life Cycles
2bii – Meiosis forms variable gametes
Stages of Meiosis Meiosis is a form of cell division that produces daughter cells with half the number of chromosomes that are in the parent cell. During.
Genetics.
EQTLs.
Press report 13/10/ publications selected.
MOLECULAR MARKERS.
Chapter 16 Section 1 Genes and Variation
Naomi Ziv, Mark Siegal and David Gresham
Who Wants to Be a Millionaire
Section 10 Genetics & Evolution
Offspring acquire genes from parents by inheriting chromosomes.
Ch 10 AP Biology Meiosis and Sexual Life Cycles
upstream vs. ORF binding and gene expression?
Genetic Variation Genetic Variation in Populations
Mapping variation in growth in response to glucose concentration
16-1 Genes and Variation Explain what a gene pool is.
Section 2: Meiosis Preview Key Ideas Stages of Meiosis
Natural history of budding yeast
Meiosis.
Comparative genomics of adaptive evolution
Mitosis & Meiosis.
PLANT BIOTECHNOLOGY & GENETIC ENGINEERING (3 CREDIT HOURS)
Extended vs. Condensed: Determination of Mitochondrial Compartment Structure in Saccharomyces cerevisiae Kassandra Willingham, Department of Molecular.
The process of speciation
AQA GCSE INHERITANCE, VARIATION AND EVOLUTION Part 1
MULTIPLE GENES AND QUANTITATIVE TRAITS
Single Cell Visualization of the DNA repair mechanism in vivo
Genome-wide Association Studies
Meiosis.
Asexual Life Cycles, Sexual Life Cycles and Meiosis
Chapter 7 Meiosis and Sexual Reproduction
Meiosis & Sexual Life Cycles
Volume 20, Issue 15, Pages (August 2010)
Volume 3, Issue 5, Pages (May 1999)
Vocabulary- use CH 11 to define these terms.
Meiosis and Sexual Life Cycles
There is a Great Diversity of Organisms
Meiosis and Sexual Life Cycles
16-1 Genes and Variation Explain what a gene pool is.
Shiv I.S Grewal, Amar J.S Klar  Cell 
Meiosis and Sexual Life Cycles
Cell Division.
Meiosis & Sexual Reproduction
There is a Great Diversity of Organisms on Planet Earth……….why?
Volume 20, Issue 15, Pages (August 2010)
THE EVOLUTION OF POPULATIONS
Genjiro Suzuki, Jonathan S. Weissman, Motomasa Tanaka  Molecular Cell 
A Suppression Strategy for Antibiotic Discovery
Sexual Reproduction and Meiosis
CHAPTER 13 MEIOSIS AND SEXUAL LIFE CYCLES
In Vitro Screening.
Meiosis Notes Biology - Ms. Spinale.
Genes, Alleles, and Meiosis Review
Sexual reproduction creates unique combinations of genes.
Zvi Tamari, Naama Barkai  Cell Reports 
Meiosis and the Sexual Life Cycle
Uniparental inheritance of organelle genes
Natural history of budding yeast
Presentation transcript:

A link between growth rate variability and post-zygotic reproductive isolation Naomi Ziv, Mark Siegal and David Gresham Center for Genomics and Systems Biology, New York University In single-celled microbes, variation in cell growth rates has important implications for evolution. A fast-growing lineage will rapidly outcompete even slightly slower growing lineages. However, increased cellular variability might provide an advantage in the face of novel and fluctuating environments. We used a high-throughput microscopy assay, which enables simultaneous analysis of growth rates of tens of thousands of individuals, including clonal populations of distinct genotypes, to determine the extent of variation in growth in the budding yeast, Saccharomyces cerevisiae. We identified two strains that differ in growth-rate variance despite nearly identical mean growth rates, providing evidence that alleles controlling phenotypic variability segregate in yeast populations. Surprisingly, the strains are reproductively isolated resulting in only 1% spore viability when crossed. The distribution of viable cells per tetrad and its inheritance suggest viability does not depend on the genotype of the spore. Although the surviving spores segregate the difference in growth-rate variability of the parents, only crosses between strains with opposite variability phenotypes result in low spore viability. Using successive back-crossing and whole-genome sequencing, we discovered that the strains may differ in the position of a 120kb section of chromosome 8. We are currently investigating if the transposition is sufficient to explain the reproductive isolation and its implications for cell growth variability. Top: Unprocessed and processed image of a single field. Bottom: Images and growth profiles for two representative micro-colonies. Measuring growth rate distributions using a high-throughput microcolony growth assay Individual yeast cells are distributed in glass-bottom 96-well plates and imaged every hour (Levy, et al., 2012, Ziv,et al., 2013). As the cells grow and divide, they form micro-colonies, consisting of the original single cell and its progeny. Growth parameters are calculated by analyzing the change in micro-colony area over time. Natural isolates differ in growth rate variability and are reproductively isolated Distribution of spore viability seems to segregate as a single locus Starting with a backcrossed strain which exhibits low spore viability, surviving spores were backcrossed to the same parental strain. Left – distributions of the number of viable cells per tetrad for one direction of backcrossing strategy. While phenotyping strains covering a wide range of genetic backgrounds and ecological histories. I identified strains that differ in the extent of growth rate variability despite almost identical mean growth rates (Ziv,et al., 2013), (above-left). Surprisingly, the two strains are reproductively isolated resulting in only 1% F2 viability. The number of viable cells per tetrad follows a Poisson distribution (above-right), consistent with the viability not depending on the genotype of the spore. Viable F2s still segregate growth rate heterogeneity (below-left). However any cross between low and high variability strains results in low spore viability. 7 haploid progenitors of the last generation backcross (from both backcrossing directions), along with the parental (Netherlands and Finland), F2-91, F2-164 and a pool of 170 viable F2 strains were sequenced. Whole genome sequencing reveals potential 120kb transposition A back-crossing strategy (below) to isolate the loci determining spore viability and potentially growth rate heterogeneity. References: Levy, S., Ziv, N., & Siegal, M. (2012). Bet hedging in yeast by heterogeneous, age-correlated expression of a stress protectant. PLoS Biology, 10(5): e1001325. Ziv, N., M. L. Siegal, and D. Gresham. (2013). Genetic and Non-Genetic Determinants of Cell-Growth Variation Assessed by High-Throughput Microscopy. Molecular Biology and Evolution, 30(12):2568-78. Whole genome sequencing revealed 57,018 unique Netherlands SNPs and 24,279 unique Finland SNPs. Backcrossed strains are enriched for the correct parental genome and parental strains have no evidence of large scale copy number variation. All strains that when backcrossed will have low spore viability contain two copies of a 120kb segment of chromosome 8 (doubled read depth), one from each parental genome (above). This is consistent with a transposition of this segment in one of the parental genomes. I am currently investigating the position of this segment in the different strains and its role in growth rate variability and reproductive isolation.