It is impractical to develop a new parts collection for
every potential
host organism. It is well-established that gene expression parts,
like genes, are qualitatively transferable, but there is little quantitative
information defining transferability. Here, we systematically quantified
the behavior of a parts set across multiple hosts. To do this, we
developed a broad host range (BHR) plasmid system compatible with
the large, modular CIDAR parts collection for E. coli, which we named openCIDAR. This enabled testing of a library of
DNA constructs across the PseudomonadotaEscherichia
coli, Pseudomonas putida, Cupriavidus necator, and Komagataeibacter
nataicola. Part performance was evaluated with a standardized
characterization procedure that quantified expression in terms of
molecules of equivalent fluorescein (MEFL), an objective unit of measure.
The results showed that the CIDAR parts enable graded gene expression
across all organismsmeaning that the same parts can be used
to program E. coli, P. putida, C. necator, and K. nataicola. Most parts had a similar expression trend across hosts, although
each organism had a different average gene expression level. The variability
is enough that to achieve the same MEFL in a different organism, a
lookup table is required to translate a design from one host to another.
To identify truly divergent parts, we applied linear regression to
a combinatorial set of promoters and ribosome binding sites, finding
that the promoter J23100 behaves very differently in K. nataicola than in the other hosts. Thus, it is now possible to evaluate any
CIDAR compatible part in three other hosts of interest, and the diversity
of these hosts implies that the collection will also be compatible
with many other Proteobacteria (Pseudomonadota). Furthermore, this
work defines an approach to generalize modular synthetic biology parts
sets beyond a single host, implying that only a few parts sets may
be needed to span the tree of life. This will accelerate current efforts
to engineer diverse species for environmental, biotechnological, and
health applications.