Find in Library
Search millions of books, articles, and more
Indexed Open Access Databases
Feed-forward regulation adaptively evolves via dynamics rather than topology when there is intrinsic noise
oleh: Kun Xiong, Alex K. Lancaster, Mark L. Siegal, Joanna Masel
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2019-06-01 |
Deskripsi
Feed‐forward loops (FFLs) can filter out noise, but whether their overrepresentation in GRNs reflects adaptive evolution for this function is debated. Here, the authors develop a null model of regulatory evolution and find that FFLs evolve readily under selection for the noise filtering function.