Show simple item record

dc.contributor.authorLalanne, Jean-Benoît
dc.contributor.authorTaggart, James C.
dc.contributor.authorGuo, Monica S.
dc.contributor.authorHerzel, Lydia
dc.contributor.authorSchieler, Ariel
dc.contributor.authorLi, Gene-Wei
dc.date.accessioned2020-05-12T14:51:15Z
dc.date.available2020-05-12T14:51:15Z
dc.date.issued2018-04
dc.identifier.issn0092-8674
dc.identifier.urihttps://hdl.handle.net/1721.1/125177
dc.description.abstractoexpression of proteins in response to pathway-inducing signals is the founding paradigm of gene regulation. However, it remains unexplored whether the relative abundance of co-regulated proteins requires precise tuning. Here, we present large-scale analyses of protein stoichiometry and corresponding regulatory strategies for 21 pathways and 67–224 operons in divergent bacteria separated by 0.6–2 billion years. Using end-enriched RNA-sequencing (Rend-seq) with single-nucleotide resolution, we found that many bacterial gene clusters encoding conserved pathways have undergone massive divergence in transcript abundance and architectures via remodeling of internal promoters and terminators. Remarkably, these evolutionary changes are compensated post-transcriptionally to maintain preferred stoichiometry of protein synthesis rates. Even more strikingly, in eukaryotic budding yeast, functionally analogous proteins that arose independently from bacterial counterparts also evolved to convergent in-pathway expression. The broad requirement for exact protein stoichiometries despite regulatory divergence provides an unexpected principle for building biological pathways both in nature and for synthetic activities.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R00GM105913)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R35GM124732)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant T32GM007287)en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CELL.2018.03.007en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleEvolutionary Convergence of Pathway-Specific Enzyme Expression Stoichiometryen_US
dc.typeArticleen_US
dc.identifier.citationLalanne, Jean-Benoît et al. “Evolutionary Convergence of Pathway-Specific Enzyme Expression Stoichiometry.” Cell 173 (2018): 749-761.e38 © 2018 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.relation.journalCellen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-01-23T17:28:28Z
dspace.date.submission2020-01-23T17:28:30Z
mit.journal.volume173en_US
mit.journal.issue3en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record