Theevolutionofproteinsunderpinsawiderangeoffundamentallyimportantbiological processes,includingtheadaptationofvirusesthatarerelevanttohumanhealth.Overthelast fewdecades,acombinationofexperimentalandobservationalapproacheshasprovidedagreat dealofqualitativeunderstandingintoproteinevolution.Thegoaloftheproposedresearchisto usethisunderstandingtoguidetheconstructionofquantitativemodelsofproteinevolutionthat areinformedbyexperiments.Suchmodelsareessentialtoleverageburgeoningnewsourcesof experimentaldataonproteinandvirusevolution.Theproposedresearchcentersonfour interconnectedgoals:(1)Quantifytheextentthatexperimentalmeasurementsoftheeffectsof singleanddoublemutationscanbegeneralizedtoanevolutionarilyrelevantspanofprotein homologsorviralstrains.(2)Developstatisticaltechniquestoassesstheadequacyof experimentsfordescribingactualnaturalselection,includingwhentheseexperimentsmeasure epistaticinteractions.(3)Devisehigh-??throughputexperimentstoidentifymutationsthatenable influenzavirustoadapttonewhosts,andusetheresultingmeasurementstoscorethe pandemicriskposedbyviralstrains.(4)Relatetheevolutionofinfluenzaviruswithinsingle infectedhumanstotheconstraintsandselectiononthevirus?slong-??termevolutionataglobal scale.Allfourofthesegoalsleveragenewtypesofdatatoinformbetteranalysesofevolutionin nature.Theresultinginsightsandmethodswilladvancebasicevolutionarybiology,andwillbe directlyrelevanttothestudyofbiomedicallyimportantvirusessuchasinfluenza.
Wewillleveragenewsourcesofdatatodevelopquantitativemodelsoftheevolutionof proteinsandviruses.Thisworkwillprovidefundamentalinsightintotheevolutionary processesthatunderliepublic-??healthrelevanteventssuchastheemergenceofpandemic virusesandtheadaptationoforganismstonewenvironments.
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Hilton, Sarah K; Bloom, Jesse D (2018) Modeling site-specific amino-acid preferences deepens phylogenetic estimates of viral sequence divergence. Virus Evol 4:vey033 |