How bacteria control their cell cycle, Researchers have shown how bacteria coordinate cell division with the replication of their genetic material. In interdisciplinary studies, they explain why the concept of the current bacterial cell cycle must be rewritten.

Every living cell grows and divides, producing new offspring. This process is also known as the cell cycle. In fact, this illustrates the periodic repetition of two coordinated cycles: duplication of genetic information in cells on one side and cell division on the other side. the  bacteria control their cell cycle

Although the cell cycle in plant and animal cells has been well clarified in the last few decades, it is not clear how these two processes are coordinated in bacteria.

Although it goes without saying that the cell cycle begins with cell birth and ends with subsequent cell division, new studies show significant changes in this concept.

They monitor the behavior of each E. coli cell over a long period of time and systematically identify several variables that describe growth, cell division, and DNA replication for thousands of cell cycles under different growth conditions. Computer modeling is then used to reveal the control mechanism of the cell cycle.

Although we have not yet identified the molecular basis of these two counters, the biomass produced after resetting the last counter appears to be the variable that controls the division and subsequent replication events.

In contrast to the classical molecular biology approach that analyzes the effects of mutations, this study uses a new approach in which the analysis of fine fluctuations that normally grow cells concludes how the underlying processes are controlled.

The main challenge is developing statistical methods to analyze the structure of correlations with fluctuations in cell cycle parameters such as cell size at birth, according to researchers. An important new idea that we have developed is that it is more informative to identify which variables appear to be fluctuating independently of each other, rather than looking for correlations between variables.

This approach has allowed scientists to discover the control mechanism of the bacterial cell cycle, but this method will generally apply to study processes and other biological organisms.