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dc.contributor.author
Crona, Kristina
dc.contributor.author
Gavryushkin, Alex
dc.contributor.author
Greene, Devin
dc.contributor.author
Beerenwinkel, Niko
dc.date.accessioned
2018-01-25T10:26:49Z
dc.date.available
2018-01-05T02:39:18Z
dc.date.available
2018-01-25T10:26:49Z
dc.date.issued
2017
dc.identifier.issn
2050-084X
dc.identifier.other
10.7554/eLife.28629
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/225738
dc.identifier.doi
10.3929/ethz-b-000225738
dc.description.abstract
Darwinian fitness is a central concept in evolutionary biology. In practice, however, it is hardly possible to measure fitness for all genotypes in a natural population. Here, we present quantitative tools to make inferences about epistatic gene interactions when the fitness landscape is only incompletely determined due to imprecise measurements or missing observations. We demonstrate that genetic interactions can often be inferred from fitness rank orders, where all genotypes are ordered according to fitness, and even from partial fitness orders. We provide a complete characterization of rank orders that imply higher order epistasis. Our theory applies to all common types of gene interactions and facilitates comprehensive investigations of diverse genetic interactions. We analyzed various genetic systems comprising HIV-1, the malaria-causing parasite Plasmodium vivax, the fungus Aspergillus niger, and the TEM-family of β-lactamase associated with antibiotic resistance. For all systems, our approach revealed higher order interactions among mutations.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
eLife Sciences Publ.
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Inferring genetic interactions from comparative fitness data
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-12-20
ethz.journal.title
eLife
ethz.journal.volume
6
en_US
ethz.pages.start
e28629
en_US
ethz.size
28 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03790 - Beerenwinkel, Niko / Beerenwinkel, Niko
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03790 - Beerenwinkel, Niko / Beerenwinkel, Niko
ethz.date.deposited
2018-01-05T02:39:20Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-25T10:26:55Z
ethz.rosetta.lastUpdated
2022-03-28T19:00:00Z
ethz.rosetta.versionExported
true
ethz.COinS
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