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Spanning high-dimensional expression space using ribosome-binding site combinatorics
Author(s) -
Lior Zelcbuch,
Niv Antonovsky,
Arren BarEven,
Ayelet Levin-Karp,
Uri Barenholz,
Michal Dayagi,
Wolfram Liebermeister,
Avi I. Flamholz,
Εlad Noor,
Shira Amram,
Alexander Brandis,
Tasneem Bareia,
Ido Yofe,
Halim Jubran,
Ron Milo
Publication year - 2013
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkt151
Subject(s) - biology , synthetic biology , operon , computational biology , escherichia coli , gene , ribosome , phenotype , gene expression , genetics , protein biosynthesis , rna
Protein levels are a dominant factor shaping natural and synthetic biological systems. Although proper functioning of metabolic pathways relies on precise control of enzyme levels, the experimental ability to balance the levels of many genes in parallel is a major outstanding challenge. Here, we introduce a rapid and modular method to span the expression space of several proteins in parallel. By combinatorially pairing genes with a compact set of ribosome-binding sites, we modulate protein abundance by several orders of magnitude. We demonstrate our strategy by using a synthetic operon containing fluorescent proteins to span a 3D color space. Using the same approach, we modulate a recombinant carotenoid biosynthesis pathway in Escherichia coli to reveal a diversity of phenotypes, each characterized by a distinct carotenoid accumulation profile. In a single combinatorial assembly, we achieve a yield of the industrially valuable compound astaxanthin 4-fold higher than previously reported. The methodology presented here provides an efficient tool for exploring a high-dimensional expression space to locate desirable phenotypes.

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