grant

Mapping deep evolutionary divergences in cellular models of stress response

Organization UNIVERSITY OF CALIFORNIA BERKELEYLocation BERKELEY, UNITED STATESPosted 15 May 2017Deadline 28 Feb 2027
NIHUS FederalResearch GrantFY2025AccelerationAgeAge related pathologiesAgingAllelesAllelomorphsAmino AcidsArchitectureAssayBaker's YeastBehaviorBioassayBiologic ModelsBiological AssayBiological ModelsBiology of AgingBrewer's YeastCandidate Disease GeneCandidate GeneCase StudyCell AgingCell BodyCell SenescenceCell modelCellsCellular AgingCellular SenescenceCellular modelChromosome MappingComplexDataDissectionEngineering / ArchitectureEpistasisEpistatic DeviationEvolutionFundingGene LocalizationGene MappingGene Mapping GeneticsGenesGeneticGenetic DiversityGenetic EpistasisGenetic Population StudyGenetic VariationGenomeGoalsHistoryHybridsIndividualInflammationInflammatoryInteraction DeviationIntermediary MetabolismInvertebrataInvertebratesLaboratoriesLinkage MappingLiteratureMammaliaMammalsMapsMetabolic ProcessesMetabolismMethodsMiceMice MammalsModel SystemModelingMolecularMurineMusNatureNematodaNematodesOrganismPartner in relationshipPhenotypePolygenic CharactersPolygenic InheritancesPolygenic TraitsProteinsRecombinantsRecording of previous eventsReplicative SenescenceS cerevisiaeS. cerevisiaeSaccharomyces cerevisiaeSisterSterilityStressSurvey InstrumentSurveysSystemTestingTimeTotal Human and Non-Human Gene MappingVariantVariationWorkYeast Model SystemYeastsage associated pathologiesage dependent pathologiesage induced pathologiesagesaging associated pathologiesaging dependent pathologiesaging induced pathologiesaging pathologiesaging related pathologiesaminoacidbiological adaptation to stresscase reportcellular senescence mappingcellular senescence tracingepistatic interactionepistatic relationshipexperimentexperimental researchexperimental studyexperimentsgene x gene interactiongenetic architecturegenetic epistasesgenetic mappinggenome scalegenome-widegenomewidehistoriesinnovateinnovationinnovativeinterestliving systemmatemethod developmentmolecular phenotypemouse modelmurine modelprogramsreaction; crisisreplicative agingreproductiveroundwormscreeningscreeningssenescencesenescence cell mappingsenescence cells tracingsenescence mappingsenescence tracingsenescentsenescent cellsenescent cell mappingsenescent cell tracingsterilestress responsestress; reactiontooltraityeast model
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Full Description

SUMMARY
Understanding how nature builds new traits is a fundamental goal of evolutionary genetics. Unbiased

experimental dissection of trait variation from the wild has to date used linkage or association mapping, which

are suitable only for crosses between compatible individuals of a given species. In the first funding period of

this methods-development R01, PI Brem developed RH-seq, an approach for the unbiased mapping of natural

trait variation that can be applied to reproductively isolated species. Our RH-seq projects in invertebrate test

cases have put the complex genetics of ancient traits within reach for the first time in the experimental

literature. We now want to advance strategies that investigate deeper themes in complex genetics between

species—namely whether evolution uses concerted molecular mechanisms across the loci underlying a

polygenic adaptation, and how these loci work together to drive phenotype. To test-drive these approaches, in

our first Aim we will use an ecologically relevant model system, a thermotolerance divergence between yeast

species that last shared an ancestor five million years ago. In our second Aim, we will port our ideas and tools

for interspecies genetics to mouse primary cells. The latter will use as a testbed a cell-autonomous, pro-

inflammatory aging program called cellular senescence, which we have found to diverge between between

sister species of mice. We will develop RH-seq for unbiased genetic mapping of senescence traits, and we will

pursue epistatic and molecular mechanisms of the underlying loci as a parallel to our yeast model. Together,

our yeast and mouse projects will advance methods for the analysis of polygenic traits as they differ between

species, and accelerate the dissection of such ancient characters in systems across Eukarya.

Grant Number: 5R01GM120430-08
NIH Institute/Center: NIH

Principal Investigator: Rachel Brem

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