grant

Population and evolutionary dynamics of recombining genes and alleles in bacteria

Organization STATE UNIVERSITY OF NEW YORK AT ALBANYLocation ALBANY, UNITED STATESPosted 9 Aug 2021Deadline 31 Dec 2026
NIHUS FederalResearch GrantFY2025AddressAllelesAllelomorphsBacteriaBiologicalBiologyBionomicsBreedingCell BodyCellsClinical TreatmentComputational BiologyCreativenessDNADNA RecombinationDeoxyribonucleic AcidDiseaseDisorderEcologyEpidemiologyEvolutionExperimental ModelsFosteringFrequenciesGene CombinationsGeneral TaxonomyGeneticGenetic RecombinationGenomeGenomicsGoalsHealthHumanImmune systemIndividualKnowledgeMath ModelsMicrobeMicrobial GeneticsMicrobiologyMissionModelingModern ManNIGMSNational Institute of General Medical SciencesOrganismOutputPatternPopulationPopulation ProcessPopulation-Level ProcessProbabilityProcessPublic HealthRecombinationResearchResistanceScience of Microbial GeneticsSocietiesStructureTaxonomyVariantVariationVirulenceWorkbiologicburden of diseaseburden of illnessclinical interventionclinical therapycomparativecomputer biologycreativitydisease burdenepidemiologicepidemiologicalinnovateinnovationinnovativelab assignmentlab experimentlaboratory activitylaboratory assignmentlaboratory exerciselaboratory experimentliving systemmathematic modelmathematical modelmathematical modelingmicroorganism geneticsnoveloffspringpathogenresistance strainresistantresistant strainresponsetraittrial regimentrial treatment
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Full Description

PROJECT SUMMARY/ABSTRACT
Species are conventionally defined as groups of individuals that breed with each other and produce

fertile offspring, but not with those of other species (according to Ernst Mayr's Biological Species Concept).

However, it is difficult to apply this eukaryotic definition of species to microbes because, even if they reproduce

clonally, DNA may be acquired between strains and between species. Genetic recombination allows a

bacterial cell to acquire novel traits through incorporation of DNA fragments from other organisms into its own

genome. Recombination influences a myriad of evolutionary and population processes, including levels of

standing diversity, niche expansion, spread of resistance and virulence determinants, and rapid adaptive

changes in response to new or fluctuating environmental conditions. These processes are fundamental to

questions critical to society and public health, such as whether an emerging disease is caused by a new

species or variants of existing ones, what factors make a strain resistant or transmissible, and how a pathogen

will respond to clinical interventions and host immune system. It is often assumed that all strains recombine at

a uniform frequency and randomly across the entire species. However, recent work from the PI's lab show that

recombination rates of strains of the same species vary along a continuum spanning several orders of

magnitude, with a unique pattern of exchange for different strains and lineages. The causes and

consequences of within-species variation in recombination is poorly understood, and therefore we still lack a

coherent model for genome evolution that incorporates this variation. Filling in this gap in our knowledge of

recombination has important ramifications for understanding species formation in microbes and the

mechanisms that keep them separate once they begin to diverge. The goal of our proposed research is to

elucidate how variation in recombination rates between strains impact population structure, genome evolution

and speciation in microbes. Using a combination of comparative population genomics, laboratory experiments

and mathematical modeling, we will answer the following questions: (1) To what extent does the probability of

recombination influenced by the genetic distance and ecology of the parental strains? (2) How do different

modes and genetic units of recombination vary across a species? (3) What are the evolutionary consequences

of variable recombination rates in genome structure and divergence? Output from this research will help

address the fundamental question in microbiology of whether species exist and if so, what processes keep

them separate and distinct. The proposed research will also be a significant step forward to developing an

evolution-based taxonomical framework and species boundaries for microbes. The results of the studies

proposed in this application are expected to lead to other opportunities for fruitful cross-disciplinary research at

the boundary of evolutionary biology, microbial genetics, computational biology and epidemiology.

Grant Number: 5R35GM142924-05
NIH Institute/Center: NIH

Principal Investigator: Cheryl Marie Andam

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