We explore a model for ‘quenching-like' repression by studying synthetic bacterial enhancers, each characterized by a different binding site architecture. To do so, we take a three-pronged approach: first, we compute the probability that a protein-bound dsDNA molecule will loop. Second, we use hundreds of synthetic enhancers to test the model's predictions in bacteria. Finally, we verify the mechanism bioinformatically in native genomes. Here we show that excluded volume effects generated by DNA-bound proteins can generate substantial quenching. Moreover, the type and extent of the regulatory effect depend strongly on the relative arrangement of the binding sites. The implications of these results are that enhancers should be insensitive to 10–11 bp insertions or deletions (INDELs) and sensitive to 5–6 bp INDELs. We test this prediction on 61 σ54-regulated qrr genes from the Vibrio genus and confirm the tolerance of these enhancers' sequences to the DNA's helical repeat.
We use an oligonucleotide library of >10,000 variants to identify an insulation mechanism encoded within a subset of σ promoters. Insulation manifests itself as reduced protein expression for a downstream gene that is expressed by transcriptional readthrough. It is strongly associated with the presence of short CT-rich motifs (3-5 bp), positioned within 25 bp upstream of the Shine-Dalgarno (SD) motif of the silenced gene. We provide evidence that insulation is triggered by binding of the ribosome binding site (RBS) to the upstream CT-rich motif. We also show that, in E. coli, insulator sequences are preferentially encoded within σ promoters, suggesting an important regulatory role for these sequences in natural contexts. Our findings imply that sequence-specific regulatory effects that are sparsely encoded by short motifs may not be easily detected by lower throughput studies. Such sequence-specific phenomena can be uncovered with a focused oligo library (OL) design that mitigates sequence-related variance, as exemplified herein.
Whole
cell bioreporters, such as bacterial cells, can be used for
environmental and clinical sensing of specific analytes. However,
the current methods implemented to observe such bioreporters in the
form of chemotactic responses heavily rely on microscope analysis,
fluorescent labels, and hard-to-scale microfluidic devices. Herein,
we demonstrate that chemotaxis can be detected within minutes using
intrinsic optical measurements of silicon femtoliter well arrays (FMAs).
This is done via phase-shift reflectometric interference spectroscopic
measurements (PRISM) of the wells, which act as silicon diffraction
gratings, enabling label-free, real-time quantification of the number
of trapped bacteria cells in the optical readout. By generating unsteady
chemical gradients over the wells, we first demonstrate that chemotaxis
toward attractants and away from repellents can be easily differentiated
based on the signal response of PRISM. The lowest concentration of
chemorepellent to elicit an observed bacterial response was 50 mM,
whereas the lowest concentration of chemoattractant to elicit a response
was 10 mM. Second, we employed PRISM, in combination with a computational
approach, to rapidly scan for and identify a novel synthetic histamine
chemoreceptor strain. Consequently, we show that by using a combined
computational design approach, together with a quantitative, real-time,
and label-free detection method, it is possible to manufacture and
characterize novel synthetic chemoreceptors in Escherichia
coli (E. coli).
We use an oligonucleotide library of over 10000 variants together with a synthetic biology approach to identify an insulator sequence encoded within a subset of σ 54 promoters.Insulation manifests itself as silencing of expression of a downstream gene during transcriptional read through. Insulation is strongly associated with the presence of short CTrich motifs (3-5 bp), positioned within 25 bp upstream of the Shine-Dalgarno (SD) motif of the silenced gene. We provide evidence using modeling, mutations to the CT-rich motif, and gene expression measurements on multiple sequence variants, that insulation is likely caused by binding of the RBS region to the upstream CT-rich motifs. We show that the strength of the insulation effect depends on the location and number of CU-rich motifs encoded within the promoters. Finally, we show that in E.coli these insulator sequences are preferentially encoded within σ 54 promoters as compared to other promoter types, indicating that there is an important regulatory role for these sequences in natural contexts. Our findings have important implications for understanding SNP/INDEL mutations in regulatory regions and add to existing guidelines for designing synthetic promoters in bacterial systems.
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