Posted September 10, 2018 08:33:18Bacteria cell labeling can reveal many of the characteristics of their genetic code, including whether they are capable of forming complex networks and whether they can produce a large number of cells.
But the new study by a group of scientists from the Max Planck Institute for Biological Cybernetics (MPIB) and the Max-Planck Institute of Technology in Germany has focused on the genes of bacteria that make up the structure of these complex networks.
The team studied the genes for the enzymes called extracellular adhesion molecules (ECAMs), which are responsible for forming and maintaining these large, tightly packed networks.
The scientists found that ECAM genes differ from those of other bacteria, suggesting that they are more difficult to target.
“The gene for ECAEM is more closely related to bacteria than any other cell type,” said Joachim G. Schäfer, a PhD candidate at the MPIB who led the study.
“We found that the ECAE gene is less similar to other bacteria than other bacteria.”
The ECA gene is a protein made by the cells that make them.
ECAAM is part of the ECL family of proteins.
The researchers used a method called comparative genomics to identify the EcaE gene from the genomes of two other bacteria.
They also found that genes encoding the proteins were found in the genomes.
The scientists used two other genomes to show that the proteins in these two other strains were not related to the ECDAs.
But the two genomes did not match in the genes found in ECA cells.
They found that there are more ECA genes than ECA proteins.
“We think that this is because ECA is a very large protein,” said Schäffer.
“And as such, we don’t know how many ECAs are involved in a given cell.”
This is a new discovery, and it could lead to a better understanding of the way bacteria use these proteins.
The researchers are now studying ECA activity in other bacteria to see if the proteins found in bacteria also exist in other cell types.
“If we find that EAC genes are related to other proteins in bacteria, then this might be useful for understanding the role of the genes in different cell types,” Schäffer said.
The study is published in Science.