grant

Evolutionary and functional consequences of structural genetic variation in Drosophila

Organization TEXAS A&M UNIVERSITYLocation COLLEGE STATION, UNITED STATESPosted 1 Apr 2019Deadline 31 Dec 2026
NIHUS FederalResearch GrantFY2025AffectAssayBioassayBiologic SciencesBiological AssayBiological FunctionBiological ProcessBiological SciencesBioscienceCRISPR approachCRISPR based approachCRISPR methodCRISPR methodologyCRISPR techniqueCRISPR technologyCRISPR toolsCRISPR-CAS-9CRISPR-based methodCRISPR-based techniqueCRISPR-based technologyCRISPR-based toolCRISPR/CAS approachCRISPR/Cas methodCRISPR/Cas technologyCRISPR/Cas9CRISPR/Cas9 technologyCaliforniaCancersCas nuclease technologyCatalogsCategoriesClassificationClustered Regularly Interspaced Short Palindromic Repeats approachClustered Regularly Interspaced Short Palindromic Repeats methodClustered Regularly Interspaced Short Palindromic Repeats methodologyClustered Regularly Interspaced Short Palindromic Repeats techniqueClustered Regularly Interspaced Short Palindromic Repeats technologyComplementComplement ProteinsComplexDNA mutationDataDevelopmentDiseaseDisorderDrosophilaDrosophila genusDrosophila melanogasterEngineeringEnsureFrequenciesGene DuplicationGenerationsGeneticGenetic ChangeGenetic DiversityGenetic PolymorphismGenetic VariationGenetic defectGenetic mutationGenomeGenome engineeringGenomic SegmentGenomicsGenotypeGrantHeritabilityHumanHuman GenomeIndividualLife SciencesLinkMalignant NeoplasmsMalignant TumorMapsMeasuresMendelian diseaseMendelian disorderMendelian genetic disorderMethodsModelingModern ManMolecularMutationNatural SelectionsNicotineOrganismOther GeneticsOxidative StressPatternPesticidesPhasePhenotypePlatinumPlatinum BlackPopulation GeneticsPositionPositioning AttributeProxyPt elementResearchResearch ResourcesResistanceResourcesSNP arraySNP chipSampling BiasesSchizophreniaSchizophrenic DisordersSeriesSiteSourceStructureSystematicsTrainingUniversitiesVariantVariationcareercatalogcausal allelecausal genecausal mutationcausal variantcausative mutationcausative variantcomplementationdementia praecoxdevelopmentalexperiencefitnessfruit flygenome editinggenome mutationgenome scalegenome segmentgenome-widegenomewidegenomic editinggenomic regionhuman diseasehuman whole genomeliving systemmalignancymodel organismmonogenic diseasemonogenic disorderneoplasm/cancerpolymorphismreference assemblyreference genomeresistantresponseschizophrenicsingle nucleotide polymorphism arraysingle nucleotide polymorphism chipsingle-gene diseasesingle-gene disorderstructural mutationstructural variantstructural variationtheoriesthermal stressthermo stresstooltrait
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Full Description

PROJECT SUMMARY
Genomic structural variants (SV) involving deletions, duplications, insertions, inversions, and translocations of

sequences are an abundant source of genetic variation. SVs have been linked to Mendelian diseases, as well

as complex heritable diseases like schizophrenia, and cancer. However, recent comparisons of extremely

contiguous genome assemblies of humans and model organism Drosophila melanogaster have revealed that

common genotyping strategies relying on high throughput short reads miss 40-80% of SVs, including those

affecting phenotypes. Thus, contribution of SVs towards diseases and phenotypic variation remain grossly

underestimated. To accurately measure the contribution of SVs towards deleterious genetic variation and trait

variation, we propose to create a comprehensive map of genomewide SVs via comparison of extremely

contiguous genome assemblies. However, contiguous de novo assembly of human genomes with high

coverage (>50X) noisy long reads remains prohibitively expensive. So I propose to analyze SVs in the 25-fold

smaller genome of model organism D. melanogaster, which has contributed substantially to our understanding

of the genetics of complex human diseases. The proposed research aims to study fitness effects of

polymorphic SVs based on de novo genome assemblies of 50 genetically diverse D. melanogaster strains that

are as complete and contiguous as the current D. melanogaster reference genome – arguably the best

metazoan genome assembly (Aim 1). I propose to use this comprehensive set of variants to infer the

distribution of fitness effects of the SVs and to estimate the proportion of adaptive SVs, both of which are

reliable proxies for the evolutionary and functional significance of SVs (Aim 1). Aim 1 will involve training in

theory and cutting edge methods in molecular population genetics. Next, the proposed project will develop an

experimental approach to determine the fitness effects of variants for which an organismal phenotype is

unknown. As part of this, the proposed project will develop genome editing resources that will facilitate rapid

transformation of one of our sequenced strains with SVs, so that fitness effects of candidate SVs from trait

mapping studies can be examined (Aim 2). Training in Aim 2 includes development of CRISPR-Cas9 toolkit in

a common genetic background to investigate the functional effects of SVs. Finally, using the toolkit developed

in Aim 2, we propose to conduct high throughput fitness assays to evaluate the selective effects of SVs under

specific selection conditions (Aim 3). The training portion of the proposed research will complement the

applicant’s previous experience and position him for a successful research career. University of California

Irvine and the Emerson and Long labs together have the resources and expertise to ensure the successful

completion of the training phase of the grant.

Grant Number: 5R00GM129411-04
NIH Institute/Center: NIH

Principal Investigator: MAHUL CHAKRABORTY

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