Sequencing DNA from several organisms has revealed that duplication and drift of existing genes have primarily molded the contents of a given genome. Though the effect of knocking out or overexpressing a particular gene has been studied in many organisms, no study has systematically explored the effect of adding new links in a biological network. To explore network evolvability, we constructed 598 recombinations of promoters (including regulatory regions) with different transcription or σ-factor genes in Escherichia coli, added over a wild-type genetic background.Here we show that ~95% of new networks are tolerated by the bacteria, that very few alter growth, and that expression level correlates with factor position in the wild-type network hierarchy. Most importantly, we find that certain networks consistently survive over the wild-type under various selection pressures. Therefore new links in the network are rarely a barrier for evolution and can even confer a fitness advantage.The Escherichia coli genome contains ~300 transcription factors (TFs)1,2, organized hierarchically, with few master regulators3-5 (Fig. 1). Only nine regulatory proteins (CRP, FNR, IHF, FIS, ArcA, NarL, H-NS, Fur, and Lrp) control over half of all genes, through direct and indirect interactions6,7. Lower-tier nodes are more sparsely connected and the network structure has a scale-free power-law degree distribution8,9. It has been argued that such networks are particularly robust to random errors since only a few nodes are highlyconnected hubs, whose perturbation would affect the network drastically10. This conclusion is based on the effects of deleting or overexpressing individual nodes. However, the addition of new interactions is thought to be an equally important process for evolution, and the network responses to such changes remain to be systematically explored.Genomes are molded by gene duplication, transfer, mutation and loss. Duplication occurs rapidly in all species11,12 and through mutation serves as material for innovation. This drives cellular network evolution13,14, even though relatively few duplications become fixed in populations11,12. We therefore chose to reconstruct events where an open reading frame (ORF) or gene is duplicated and subsequently becomes linked to a new regulatory input. Thus, promoter region-ORF fusions were constructed on high copy number plasmids Author Information Microarray data are MIAME-compliant and have been deposited at ArrayExpress http://www.ebi.ac.uk/ microarray-as/aer/entry, Accession: E-MEXP-732. Reprints and permissions information is available at npg.nature.com/ reprintsandpermissions. Correspondence and requests for materials should be addressed to M.I. (e-mail: isalan@crg.es and a subset were stably integrated in the E. coli chromosome. Although evolution is unlikely to take such a direct approach, except in rare cases such as gene fusions in chromosomal rearrangements, our approach provides a systematic way to sample the viability of new connectivity. By adding new connection...

Synthetic biology is a promising tool to study the function and properties of gene regulatory networks. Gene circuits with predefined behaviours have been successfully built and modelled, but largely on a case-by-case basis. Here we go beyond individual networks and explore both computationally and synthetically the design space of possible dynamical mechanisms for 3-node stripe-forming networks. First, we computationally test every possible 3-node network for stripe formation in a morphogen gradient. We discover four different dynamical mechanisms to form a stripe and identify the minimal network of each group. Next, with the help of newly established engineering criteria we build these four networks synthetically and show that they indeed operate with four fundamentally distinct mechanisms. Finally, this close match between theory and experiment allows us to infer and subsequently build a 2-node network that represents the archetype of the explored design space.

DNA-binding domains with predetermined sequence specificity are engineered by selection of zinc finger modules using phage display, allowing the construction of customized transcription factors. Despite remarkable progress in this field, the available protein-engineering methods are deficient in many respects, thus hampering the applicability of the technique. Here we present a rapid and convenient method that can be used to design zinc finger proteins against a variety of DNA-binding sites. This is based on a pair of pre-made zinc finger phage-display libraries, which are used in parallel to select two DNA-binding domains each of which recognizes given 5 base pair sequences, and whose products are recombined to produce a single protein that recognizes a composite (9 base pair) site of predefined sequence. Engineering using this system can be completed in less than two weeks and yields proteins that bind sequence-specifically to DNA with Kd values in the nanomolar range. To illustrate the technique, we have selected seven different proteins to bind various regions of the human immunodeficiency virus 1 (HIV-1) promoter.

Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder caused by expanded CAG repeats in the huntingtin (HTT) gene. Although several palliative treatments are available, there is currently no cure and patients generally die 10-15 y after diagnosis. Several promising approaches for HD therapy are currently in development, including RNAi and antisense analogs. We developed a complementary strategy to test repression of mutant HTT with zinc finger proteins (ZFPs) in an HD model. We tested a "molecular tape measure" approach, using long artificial ZFP chains, designed to bind longer CAG repeats more strongly than shorter repeats. After optimization, stable ZFP expression in a model HD cell line reduced chromosomal expression of the mutant gene at both the protein and mRNA levels (95% and 78% reduction, respectively). This was achieved chromosomally in the context of endogenous mouse HTT genes, with variable CAG-repeat lengths. Shorter wild-type alleles, other genomic CAG-repeat genes, and neighboring genes were unaffected. In vivo, striatal adeno-associated virus viral delivery in R6/2 mice was efficient and revealed dose-dependent repression of mutant HTT in the brain (up to 60%). Furthermore, zinc finger repression was tested at several levels, resulting in protein aggregate reduction, reduced decline in rotarod performance, and alleviation of clasping in R6/2 mice, establishing a proof-of-principle for synthetic transcription factor repressors in the brain.

Zinc-finger protein transcription factors (ZFP TFs)D efects in transcriptional regulation underlie numerous disease states, most notably cancer (1). A major goal of current strategies for correcting such defects is to achieve sufficient specificity of action (2). Designed zinc-finger protein transcription factors (ZFP TFs) emulate natural transcriptional control mechanisms and therefore provide an attractive tool for precisely regulating gene expression. Accurate control of gene expression is important for understanding gene function (target validation) and for developing therapeutics to treat disease (3). We and others have used engineered ZFP TFs to either activate or repress a variety of endogenous gene targets (4-11). For these proteins, or any other gene-regulation technology, to succeed as tools in drug discovery or direct agents in the clinic, their specificity of action within the genome must be precise, a challenging criterion to meet given the size and complexity of the human genome. Recent studies with small interfering RNA (12, 13) and antisense DNA͞RNA (14) have illuminated the magnitude of the task of achieving single-gene specificity in regulating the human genome.We focus here on the use of ZFP TFs in the area of oncology and specifically on the emerging role of checkpoint kinase 2 (CHK2). CHK2 acts as a key integrator of DNA-damage signals regulating cell-cycle progression, DNA repair, and cell death by phosphorylating a variety of substrates, including the p53 tumor suppressor protein (15, 16). Here we show that a designed ZFP TF targeted to a unique 18-bp recognition sequence in the promoter of the CHK2 gene binds the intended site within chromatin and represses CHK2 transcription in vivo. Moreover, repression of CHK2 by this engineered ZFP TF occurs with remarkable specificity, while simultaneously reducing CHK2 protein to levels that functionally ablate the action of this kinase. Finally, we show that constitutive expression of the ZFP TF in telomerase-immortalized, untransformed human fibroblasts provides stable repression of the CHK2 gene and results in loss of DNA-damage-induced CHK2-dependent phosphorylation of p53 on Ser-20. These data demonstrate that ZFP TFs can be exquisitely specific, yet potent repressors of gene expression and, therefore, are potentially powerful reagents for target validation and therapeutic interventions in vivo.

Highlights d Turing pattern mechanisms are highly sensitive to perturbations d Regulatory mechanisms profoundly influence pattern generation capability d Many more molecular mechanisms can generate Turing patterns than previously thought d We derive simple but surprisingly powerful heuristics for designing Turing patterns

Zif268-like zinc fingers are generally regarded as independent DNA-binding modules that each specify three base pairs in adjacent, but discrete, subsites. However, crystallographic evidence suggests that a contact also can occur from the second helical position of one finger to the subsite of the preceding finger. Here we show for the threefinger DNA-binding domain of the protein Zif268, and a panel of variants, that deleting the putative contact from finger 3 can affect the binding specificity for the 5 base in the adjoining triplet, which forms part of the binding site of finger 2. This finding demonstrates that Zif268-like zinc fingers can specify overlapping 4-bp subsites, and that sequence specificity at the boundary between subsites arises from synergy between adjacent fingers. This has important implications for the design and selection of zinc fingers with novel DNA binding specificities.

Pattern formation is essential in the development of higher eukaryotes. For example, in the Drosophila embryo, maternal morphogen gradients establish gap gene expression domain patterning along the anterior-posterior axis, through linkage with an elaborate gene network. To understand the evolution and behaviour of such systems better, it is important to establish the minimal determinants required for patterning. We have therefore engineered artificial transcription-translation networks that generate simple patterns, crudely analogous to the Drosophila gap gene system. The Drosophila syncytium was modelled using DNA-coated paramagnetic beads fixed by magnets in an artificial chamber, forming a gene expression network. Transient expression domain patterns were generated using various levels of network connectivity. Generally, adding more transcription repression interactions increased the “sharpness” of the pattern while reducing overall expression levels. An accompanying computer model for our system allowed us to search for parameter sets compatible with patterning. While it is clear that the Drosophila embryo is far more complex than our simplified model, several features of interest emerge. For example, the model suggests that simple diffusion may be too rapid for Drosophila-scale patterning, implying that sublocalisation, or “trapping,” is required. Second, we find that for pattern formation to occur under the conditions of our in vitro reaction-diffusion system, the activator molecules must propagate faster than the inhibitors. Third, adding controlled protease degradation to the system stabilizes pattern formation over time. We have reconstituted transcriptional pattern formation from purified substances, including phage RNA polymerases, ribonucleotides, and an eukaryotic translation extract. We anticipate that the system described here will be generally applicable to the study of any biological network with a spatial component.