Open AccessLarge‐scale‐free network organisation is likely key for biofilm phase transition
Author(s) -
Selvarajoo Kumar
Publication year - 2019
Publication title -
engineering biology
Language(s) - English
Resource type - Journals
ISSN - 2398-6182
DOI - 10.1049/enb.2019.0012
Subject(s) - sync , key (lock) , scale (ratio) , scale free network , biofilm , systems biology , coupling (piping) , expression (computer science) , computational biology , computer science , gene regulatory network , biology , synchronization (alternating current) , small world network , biological system , complex network , gene , gene expression , genetics , physics , engineering , ecology , computer network , bacteria , mechanical engineering , channel (broadcasting) , quantum mechanics , world wide web , programming language
Non‐linear Kuramoto model has been used to study synchronised or sync behaviour in numerous fields; however, its application in biology is scarce. Here, the basic model has been introduced and examples where large‐scale small‐world or scale‐free networks are crucial for spontaneous sync have been provide even for low coupling strength. This information was next checked for relevance in living systems where it is now well known that biological networks are scale‐free. A recent transcriptome‐wide data analysis of a Saccharomyces cerevisiae biofilm showed that low‐ to middle‐expressed genes are key for scale invariance in biology. Together, the current data indicate that a biological network connectivity structure with low coupling strength, or expression levels, is sufficient for sync behaviour. For biofilm regulation, it may, therefore, be necessary to investigate large‐scale low‐expression genes rather than small‐scale high‐expression genes.