Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic
- PMID: 23468638
- PMCID: PMC3585115
- DOI: 10.1371/journal.pgen.1003243
Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic
Abstract
Rearrangements of about 2.5 kilobases of regulatory DNA located 5' of the transcription start site of the Drosophila even-skipped locus generate large-scale changes in the expression of even-skipped stripes 2, 3, and 7. The most radical effects are generated by juxtaposing the minimal stripe enhancers MSE2 and MSE3 for stripes 2 and 3 with and without small "spacer" segments less than 360 bp in length. We placed these fusion constructs in a targeted transformation site and obtained quantitative expression data for these transformants together with their controlling transcription factors at cellular resolution. These data demonstrated that the rearrangements can alter expression levels in stripe 2 and the 2-3 interstripe by a factor of more than 10. We reasoned that this behavior would place tight constraints on possible rules of genomic cis-regulatory logic. To find these constraints, we confronted our new expression data together with previously obtained data on other constructs with a computational model. The model contained representations of thermodynamic protein-DNA interactions including steric interference and cooperative binding, short-range repression, direct repression, activation, and coactivation. The model was highly constrained by the training data, which it described within the limits of experimental error. The model, so constrained, was able to correctly predict expression patterns driven by enhancers for other Drosophila genes; even-skipped enhancers not included in the training set; stripe 2, 3, and 7 enhancers from various Drosophilid and Sepsid species; and long segments of even-skipped regulatory DNA that contain multiple enhancers. The model further demonstrated that elevated expression driven by a fusion of MSE2 and MSE3 was a consequence of the recruitment of a portion of MSE3 to become a functional component of MSE2, demonstrating that cis-regulatory "elements" are not elementary objects.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures
and activation energy barrier
. Catalysis by activators reduces the barrier by
. A scale bar of two heatmaps used in (C), (E), and (F) is shown. The
heatmap applies to the vertical bars on the right hand side of these panels and the
heatmap applies to the square panels in (C), (E), and (F).
; compare with Equations 8 and 9 in Figure 3. (C) Distribution of activation energy barrier changes at single binding site resolution for M3_2 as a function of A-P position on the embryo and number of basepairs 5′ to the M3_2 TSS. The positions of MSE2 and MSE3 are schematically shown at the top.
for each activator binding site is shown in the central panel according to the key in (B) and the summed activation
in the right hand bar. Peaks of activation corresponding to stripes 2, 3, and 7 are indicated. (D) Expression levels of RNA expression driven by M3_2 together with regulating TFs at cellular resolution, as shown in the key. In the key, standard abbreviations are used except that Dst indicates D-STAT and Dic indicates Dichaete. (E) and (F) show a regulatory dissection of expression changes induced by removal of the “spacer” with activation represented as in (C). Selected binding sites for M3_2 and M32 are shown at the top of (E) and (F) respectively, with TF specificity indicated by color as shown in the key for (D). The full set of binding sites is shown in Figure S6. The black arrows show binding sites involved in coactivation; the red arrow in (F) indicates the major coactivation interaction in M32. Circled areas indicate groups of binding sites critical for expression changes in different zones as described in the text.Similar articles
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