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Home NEWS Science News

Study highlights undiscovered potential of bacterial compounds and genes linked to colon cancer-related toxin

Bioengineer by Bioengineer
June 22, 2022
in Science News
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The last two decades have seen the development of sophisticated computational tools that explore the DNA of bacteria. These tools are on the lookout for interesting metabolites (metabolism-related molecules) that illicit a strong biological reaction. Their impact might be toxic, or it might be life enhancing; for example, informing the development of new antibiotics, anti-cancer drugs or bio-based insecticides for use in agriculture.

PREDICTED POTENTIAL OF ENTEROBACTERIA TO PRODUCE NOVEL COMPOUNDS THAT MAY HAVE PATHOGENIC AS WELL AS INDUSTRIALLY-RELEVANT PROPERTIES

Credit: OMKAR S. MOHITE.

The last two decades have seen the development of sophisticated computational tools that explore the DNA of bacteria. These tools are on the lookout for interesting metabolites (metabolism-related molecules) that illicit a strong biological reaction. Their impact might be toxic, or it might be life enhancing; for example, informing the development of new antibiotics, anti-cancer drugs or bio-based insecticides for use in agriculture.

The computational tools mine for specific genetic signatures in the neighbourhood of DNA that are responsible for producing various compounds of clinical, agricultural and industrial interest. However, how these genetic regions are linked to global parts of the bacterial systems remains a mystery.

A team of scientists from the Technical University of Denmark (DTU) and the US’ University of California San Diego have developed a novel computational approach for analysing the DNA sequences of thousands of bacteria. The results of their study have been published in the KeAi journal Synthetic and Systems Biotechnology.

Tilmann Weber is Associate Director of the Natural Product Genome Mining group at the Novo Nordisk Foundation Center for Biosustainability at DTU (DTU Biosustain), and is one of the study authors. According to Weber, their goal was to unravel which genomic parts work in unison to produce compounds of great interest.

He explains: “Enterobacteriaceae is a large family of bacteria that includes common infectious pathogens, such as Salmonella and E-coli, as well as harmless bacteria that live in symbiosis with other living beings. Surprisingly, the computational analysis conducted for this study identified a large number of gene clusters responsible for metabolites of potential interest that were previously unknown. We still need to figure out the functions of these compounds in the production of bacteria, as well as their function when they interact with human hosts or other environments.”

Research has shown that several gut microbes produce a molecule called colibactin that can be associated with colon cancer. In this study, the team established a variety of genetic elements that are always present in colibactin-containing bacteria. Omkar Mohite, a postdoctoral researcher at DTU Biosustain and first author of the study, notes: “Such associated signatures could help in predicting a list of biological parts that come together to support the production of the genotoxin that can cause colon cancer – valuable information that might help to improve treatment options in the future.”

He adds: “The drive to understand how biological systems are made up of several parts interacting together is what got me into science. I believe that this puzzle can be solved with new approaches to the integration and investigation of large numbers of datasets, like the approach we’ve used in this study.”

###

Contact the author: Tilmann Weber, [email protected]

The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).



Journal

Synthetic and Systems Biotechnology

DOI

10.1016/j.synbio.2022.04.011

Method of Research

Computational simulation/modeling

Subject of Research

Not applicable

Article Title

Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene sets

COI Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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