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dc.contributor.authorBrady, Joseph R
dc.contributor.authorTan, Melody C
dc.contributor.authorWhittaker, Charles A
dc.contributor.authorColant, Noelle A
dc.contributor.authorDalvie, Neil C
dc.contributor.authorLove, Kerry Routenberg
dc.contributor.authorLove, J Christopher
dc.date.accessioned2021-10-27T20:04:53Z
dc.date.available2021-10-27T20:04:53Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134411
dc.description.abstractCopyright © 2020 American Chemical Society. Constructing efficient cellular factories often requires integration of heterologous pathways for synthesis of novel compounds and improved cellular productivity. Few genomic sites are routinely used, however, for efficient integration and expression of heterologous genes, especially in nonmodel hosts. Here, a data-guided framework for informing suitable integration sites for heterologous genes based on ATAC-seq was developed in the nonmodel yeast Komagataella phaffii. Single-copy GFP constructs were integrated using CRISPR/Cas9 into 38 intergenic regions (IGRs) to evaluate the effects of IGR size, intensity of ATAC-seq peaks, and orientation and expression of adjacent genes. Only the intensity of accessibility peaks was observed to have a significant effect, with higher expression observed from IGRs with low-to moderate-intensity peaks than from high-intensity peaks. This effect diminished for tandem, multicopy integrations, suggesting that the additional copies of exogenous sequence buffered the transcriptional unit of the transgene against effects from endogenous sequence context. The approach developed from these results should provide a basis for nominating suitable IGRs in other eukaryotic hosts from an annotated genome and ATAC-seq data.
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)
dc.relation.isversionof10.1021/ACSSYNBIO.0C00299
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceACS
dc.titleIdentifying Improved Sites for Heterologous Gene Integration Using ATAC-seq
dc.typeArticle
dc.relation.journalACS Synthetic Biology
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-14T15:25:20Z
dspace.orderedauthorsBrady, JR; Tan, MC; Whittaker, CA; Colant, NA; Dalvie, NC; Love, KR; Love, JC
dspace.date.submission2021-06-14T15:25:22Z
mit.journal.volume9
mit.journal.issue9
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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