The ribosome binding site (RBS) is a crucial element
regulating
translation. However, the activity of RBS is poorly predictable, because
it is strongly affected by the local possible secondary structure,
that is, context dependence. By the Flowseq technique, over 20 000
RBS variants were sorted and sequenced, and the translation of multiple
genes under the same RBS was quantitatively characterized to evaluate
the context dependence of each RBS variant in E. coli. Two regions, (−7 to −2) and (−17 to −12),
of RBS were predicted with a higher possibility to pair with each
other to slow down the translation initiation. Associations between
phenotypes and the intrinsic factors suspected to affect translation
efficiency and context dependence of the RBS, including nucleotide
bias at each position, free energy, and conservation, were disentangled.
The results showed that translation efficiency was influenced more
significantly by conservation of the SD region (−16 to −8),
while an AC-rich spacer region (−7 to −1) was associated
with low context dependence. We confirmed these characteristics using
a series of synthesized RBSs. The average correlation between multiple
reporters was significantly higher for RBSs with an AC-rich spacer
(0.714) compared with a GU-rich spacer (0.286). Overall, we proposed
general design criteria to improve programmability and minimize context
dependence of RBS. The characteristics unraveled here can be adapted
to other bacteria for fine-tuning target-gene expression.