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dc.contributor.authorHou, Jing
dc.contributor.authorTan, Guihong
dc.contributor.authorFink, Gerald R
dc.contributor.authorAndrews, Brenda J.
dc.contributor.authorBoone, Charles
dc.date.accessioned2020-07-10T14:31:23Z
dc.date.available2020-07-10T14:31:23Z
dc.date.issued2019-02
dc.date.submitted2018-12
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttps://hdl.handle.net/1721.1/126123
dc.description.abstractThe phenotypic consequence of a given mutation can be influenced by the genetic background. For example, conditional gene essentiality occurs when the loss of function of a gene causes lethality in one genetic background but not another. Between two individual Saccharomyces cerevisiae strains, S288c and Σ1278b, ~1% of yeast genes were previously identified as "conditional essential." Here, in addition to confirming that some conditional essential genes are modified by a nonchromosomal element, we show that most cases involve a complex set of genomic modifiers. From tetrad analysis of S288C/Σ1278b hybrid strains and wholegenome sequencing of viable hybrid spore progeny, we identified complex sets of multiple genomic regions underlying conditional essentiality. For a smaller subset of genes, including CYS3 and CYS4, each of which encodes components of the cysteine biosynthesis pathway, we observed a segregation pattern consistent with a single modifier associated with conditional essentiality. In natural yeast isolates, we found that the CYS3/CYS4 conditional essentiality can be caused by variation in two independent modifiers, MET1 and OPT1, each with roles associated with cellular cysteine physiology. Interestingly, the OPT1 allelic variation appears to have arisen independently from separate lineages, with rare allele frequencies below 0.5%. Thus, while conditional gene essentiality is usually driven by genetic interactions associated with complex modifier architectures, our analysis also highlights the role of functionally related, genetically independent, and rare variants.en_US
dc.description.sponsorshipNational Institutes of Health (Grant R01HG00583)en_US
dc.language.isoen
dc.publisherNational Academy of Sciencesen_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1820915116en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleComplex modifier landscape underlying genetic background effectsen_US
dc.typeArticleen_US
dc.identifier.citationHou, Jing et al. "Complex modifier landscape underlying genetic background effects." Proceedings of the National Academy of Sciences 116, 11 (February 2019): 5045-5054 © 2019 National Academy of Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentWhitehead Institute for Biomedical Researchen_US
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-12-05T14:05:47Z
dspace.date.submission2019-12-05T14:05:49Z
mit.journal.volume116en_US
mit.journal.issue11en_US
mit.metadata.statusComplete


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