ACS Synthetic BiologySynthetic BiologyPeer-reviewed journal article
Rhodo-Box: a Synthetic Biology Toolbox to Facilitate Metabolic Engineering of Rhodobacter sphaeroides
Matic KostanjšekiD, Antoine RaynaliD, George Dimopoulos, Gerrich BehrendtiD, Vítor A. P. Martins dos SantosiD, Jules BeekwilderiD, Christos BatianisiD, Ruud A. WeusthuisiD, Enrique Asin‐GarciaiD, Markus M.M. BisschopsiD
Abstract
Rhodobacter sphaeroides is a purple non-sulphur alphaproteobacterium with a highly versatile metabolism. This microorganism holds promise as a chassis for sustainable biomanufacturing of numerous chemicals. Yet, its potential is constrained by a lack of standardized, well-characterized genetic elements to tune gene expression such as transcriptional promoters and ribosome binding sites (RBSs). In this study, we present Rhodo-Box, a comprehensive toolkit for R. sphaeroides created by adapting and extending the Zymo-Parts modular cloning framework. Using Rhodo-Box we built and characterized: (a) three broad-host origins of replication (pBBR1, RK2 and RSF1010), (b) a set of 13 promoters, (c) four inducible expression systems (NahR-PsalTTC, LacI-PlacT7A1_O3O4, VanR-PvanCC, and XylS-Pm), (d) 11 RBSs, and (e) four transcriptional terminators. Furthermore, we present a semi-automated, user-friendly cloning approach which enables rapid construction of R. sphaeroides strains. The Rhodo-Box toolkit equips R. sphaeroides with a standardized, automation-compatible collection of parts and workflows essential for efficient design-build-test-learn cycles and advanced metabolic engineering. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/685836v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@fcb172org.highwire.dtl.DTLVardef@1e5eb44org.highwire.dtl.DTLVardef@1b8df28org.highwire.dtl.DTLVardef@42eb2a_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: bacteria (other)
- research focus: software / tool
- research focus: benchmarking
- approach: experimental assay
- Citations
- 3
- FWCI
- 6.16
- Field percentile
- top 5%
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