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Therefore, if high levels of gene expression are directly associated with histone modifications around TSSs, then we may observe spurious correlations between promoter type and histone modification.
Additionally, despite the extent of variation, allele type A tended to show higher expression levels than allele B or C as shown in Figure 4B and C, indicating the possibility of association between promoter type and expression level.
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Our results suggest that interplay between core promoter type and gene size can generate significant diversity in gene expression.
To explore potential associations between core promoter type and intragenic DNA methylation, we compared coding sequence DNA methylation levels in the fire ant and honey bee to promoter classifications of D. melanogaster orthologs (Hoskins et al. 2011).
Given that general features such as core promoter and gene size act together to affect the levels of mRNA production, we next wished to test whether there is a link between core promoter type and protein translation efficiency.
These findings extend further the links found in yeast between core promoter type and features that are seemingly not directly associated with transcription initiation such as gene function [ 2], evolution rates [ 13] and sensitivity of gene expression to mutations [ 14].
> -wrap-foot> First, we analysed the relationship between core promoter type and the distance from the most major TSS of a gene to the end of the neighbouring upstream gene, that is an indication of room for promoters in the genome.
Thus, the genome appears to distinguish promoter types and positions.
While cis-acting enhancer sequences clearly correlated with these changes, a stronger correlation was discovered between core-promoter types and the dynamic patterns of gene expression within this differentiating tissue.
It can also affect the relationship between function and promoter conservation, because promoter type depends on G+C%.
Thirdly, in contrast to the small effects of TATA promoter type or upstream sequence conservation, we found a stronger correlation between protein sequence similarity and local network similarity.
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