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Yeast as a model for understanding gene expression adaptation

酵母作为理解基因表达适应的模型

基本信息

批准号：
9175447
负责人：
Hunter B Fraser
金额：
$ 33.45万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-02-05 至 2020-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9175447
关键词：
Accounting Acquired Immunodeficiency Syndrome Address Affect Alleles Amaze Amino Acid Sequence Amphotericin B Anabolism Antifungal Agents Biology CRISPR/Cas technology Candidate Disease Gene Cells Chromosome Mapping Clustered Regularly Interspaced Short Palindromic Repeats Code Collection Data Set Databases Demography Down-Regulation Drug resistance Emerging Communicable Diseases Environment Enzymes Ergosterol Evolution Future Gene Expression Genes Genetic Genetic Drift Genome Scan Genotype Goals Health Housing Human Hybrids Immune Individual Investigation Lead Life Loss of Heterozygosity Maps Measures Methods Mitotic Recombination Modeling Molecular Mutation Natural Selections Pathogenicity Pathway interactions Patients Pattern Peptide Sequence Determination Phenotype Population Process Proteins Quantitative Trait Loci Repression Resistance Role Shapes Site Specific qualifier value Technology Testing Toxin UV response Up-Regulation Variant Work Yeasts base fitness follow-up gene discovery genetic variant genome editing genome-wide innovation pathogen promoter protein complex protein expression species difference tool trait transcription factor

项目摘要

Project Summary Adaptation via natural selection is the process by which the incredible fit between every species and its environment has evolved. Despite its importance, we still have little understanding of which genetic variants have been adaptive in any species, and how these variants act at the molecular level. One classic question is whether most adaptations involve changes in protein sequences, or in cis- regulatory elements21-23; another fundamental question is whether adaptations typically involve single mutations of large effect, or many mutations of small effect23-24. Historically, most studies pinpointing the genetic basis of polymorphic traits have focused on protein sequence changes of large effect, because these have been the simplest to identify. However recent work has suggested that polygenic cis-regulatory adaptations may actually be far more common. Unfortunately these have traditionally been almost impossible to identify, due to the very small individual effect of each variant on the selected trait. Over the past five years, we have developed a method to find these polygenic adaptations from genome-wide data, based on the idea of a “sign test”3,32. The goal is to identify cases where selection has led to up- or down-regulation of multiple genes via independent mutations. Using this test in yeast, we have identified gene expression adaptations involving toxin resistance33, ergosterol biosynthesis13,40, and pathogenicity15. Overall, our applications of the sign test have identified several hundred genes involved in cis-regulatory adaptations, including the first examples of gene expression adaptation occurring at the level of pathways13 and protein complexes15; the first known cases of regulatory adaptations affecting behavior14 and pathogenicity15; and the first examples of polygenic gene expression adaptations of any kind in house mice14 and humans16. In this project we have two major goals. First, we will develop computational and experimental tools based on CRISPR/Cas9 technology that will make characterizing cis-regulatory variants far more practical in a wide range of species. Second, we will develop methods for high-throughput mapping of genes contributing to divergence in fitness, the key phenotype for natural selection. This project will also lay the groundwork for future investigations into facets of gene expression evolution important to human health, such as how gene expression evolves in both humans and their pathogens.

项目总结