Biological systems are imbued with the property of robustness. Perturbation of such systems is buffered such that the output or response is invariant or uniform. Numerous examples abound in which robust systems can compensate for remarkably large genetic or environmental perturbations (
Kitano, 2004). How this occurs is not well understood and is currently the focus of intense study. Buffering is thought to be an epigenetic process, and it has been speculated to play a role in evolution by canalizing or masking genetic variation at the level of phenotypic expression (
Meiklejohn and Hartl, 2002;
Siegal and Bergman, 2002). A variety of mechanisms provide stability and robustness (
Hartman et al., 2001). Functional redundancy buffers processes against genetic and environmental noise (
Kitano, 2004). Complex networks of interacting regulatory molecules also generate robustness for diverse biological processes (
Lee et al., 2002;
Milo et al., 2002;
Spirin and Mirny, 2003).
In this study, we examine the role of microRNAs (miRNAs) in biological robustness. These small non-coding RNAs are transcribed from plant, algal, and animal genomes where their gene numbers range in the hundreds (
Griffiths-Jones et al., 2006). Animal miRNAs typically repress translation of mRNAs that are complementary in sequence, and repression increases additively with miRNA occupancy on messages (
Bushati and Cohen, 2007). Most targeted genes are only modestly repressed by miRNAs, which indicates that miRNAs primarily tune gene expression (
Baek et al., 2008;
Nakahara et al., 2005;
Selbach et al., 2008).
It has been speculated that miRNAs provide robustness to programs of gene expression (
Hornstein and Shomron, 2006). Stark and colleagues (
Stark et al., 2005) observed anti-correlative expression of miRNAs and their target mRNAs. This suggests that transcription primarily controls gene expression while miRNAs lend further reinforcement to gene regulation by attenuating unwanted transcripts. MicroRNAs could provide robustness a second way. Feedback and feedforward motifs impart robustness to complex networks (
Milo et al., 2002). Bioinformatic analysis has indicated that miRNAs frequently collaborate with transcription factors in feedback and feedforward loops to regulate their targets (
Martinez et al., 2008;
Tsang et al., 2007), and there are several experimentally defined examples of these kinds of regulatory relationships (
Hobert, 2006). Despite these provocative speculations about miRNAs and robustness, to date there has been no direct evidence that a miRNA buffers gene expression against fluctuation or noise.
To explore the issue, we have focused on one of the most highly conserved animal miRNAs, miR-7. The
miR-7 gene is found in most sequenced Urbilateria species, and the sequence of its mature miRNA product is perfectly conserved from annelids to humans (
Prochnik et al., 2007). We find that in
Drosophila, miR-7 acts within two complex gene networks that regulate the determination of photoreceptor cells, proprioceptor organs, and olfactory organs. MiR-7 acts within several interlocking feedback and feedforward loops theoretically implicated as network stabilizers. Thus, we provide a mechanistic picture of miR-7 working in networks to buffer gene expression against perturbation. To directly demonstrate this function for miR-7, we subjected the networks to temperature fluctuation and show that miR-7 is essential for stable gene expression and cell fate determination in the face of this perturbation. Thus, we have demonstrated that this miRNA imparts robustness to diverse regulatory networks.