Previously unknown antibiotic resistance widespread among bacteria

Image 1 of 1
Stockphoto of Streptococcus pneumoniae.
Streptococcus pneumoniae.The bacterium causes pneumonia, one of the diseases that becomes difficult to treat when bacteria develop resistance to antibiotics.

Genes that make bacteria resistant to antibiotics are much more widespread in our environment than was previously realised. A new study, from Chalmers University of Technology and the University of Gothenburg in Sweden, shows that bacteria in almost all environments carry resistance genes, with a risk of them spreading and aggravating the problem of bacterial infections that are untreatable with antibiotics.

Erik Kristiansson
Erik Kristiansson
Photographer: Chalmers

“We have identified new resistance genes in places where they have remained undetected until now. These genes can constitute an overlooked threat to human health,” says Erik Kristiansson, a professor in the Department of Mathematical Sciences.

According to the World Health Organisation (WHO), antibiotic resistance is one of the greatest threats to global health. When bacteria become resistant to antibiotics, it becomes difficult or impossible to treat illnesses such as pneumonia, wound infections, tuberculosis and urinary tract infections. According to the UN Interagency Coordination Group on Antimicrobial Resistance (IACG) 700,000 people die each year from infections caused by antibiotic-resistant bacteria.

Seeking resistance in new environments

The genes that make bacteria resistant have long been studied, but the focus has traditionally been on identifying those resistance genes that are already prevalent in pathogenic bacteria. Instead, in the new study from Chalmers and the University of Gothenburg, researchers have looked at large quantities of DNA sequences from bacteria to analyse new forms of resistance genes in order to understand how common they are. They have traced the genes in thousands of different bacterial samples from different environments, in and on people, in the soil and from sewage treatment plants. The study analysed 630 billion DNA sequences in total.

Juan Inda-Diaz
Juan Inda-Diaz
Photographer: Caroline Eklund

“The data requires a great deal of processing before information can be obtained. We have used metagenomics, a methodology, that allows vast quantities of data to be analysed,” says Juan Inda Díaz, a doctoral student in the Department of Mathematical Sciences, and the article’s lead author.

The study showed that the new antibiotic resistance genes are present in bacteria in almost all environments. This also includes our microbiomes – the genes of the bacteria found in and on people – and, more alarmingly, pathogenic bacteria, which can lead to more infections that are difficult to treat. The researchers found that resistance genes in bacteria that live on and in humans and in the environment were ten times more abundant than those previously known. And of the resistance genes found in bacteria in the human microbiome, 75 percent were not previously known at all.

The researchers stress the need for more knowledge about the problem of antibiotic resistance.

“Prior to this study, there was no knowledge whatsoever about the incidence of these new resistance genes. Antibiotic resistance is a complex problem, and our study shows that we need to enhance our understanding of the development of resistance in bacteria and of the resistance genes that could constitute a threat in the future,” says Kristiansson. 

Johan Bengtsson-Palme
Johan Bengtsson-Palme
Photographer: Martina Butorac

Seeking to prevent bacterial outbreaks in the healthcare sector

The research team is currently working on integrating the new data into the international EMBARK project (Establishing a Monitoring Baseline for Antibiotic Resistance in Key environments). The project is coordinated by Johan Bengtsson-Palme, an assistant professor in the Department of Life Sciences at Chalmers, and aims to take samples from sources such as wastewater, soil and animals to get an idea of the way in which antibiotic resistance is spreading between humans and the environment.

“It is essential for new forms of resistance genes to be taken into account in risk assessments relating to antibiotic resistance. Using the techniques we have developed enables us to monitor these new resistance genes in the environment, in the hope that we can detect them in pathogenic bacteria before they are able to cause outbreaks in a healthcare setting,” says Bengtsson-Palme. 

More about the study

The researchers used DNA from two public databases. The first database, ResFinder, contains a couple of thousand previously known antibiotic resistance genes in bacteria. The researchers expanded these with a large number of new resistance genes that they had found through an analysis of bacterial DNA. The known and new resistance genes amounted to 20,000 in total.

The second database, MGnify, contains large quantities of bacterial DNA from different sources such as bacteria living on and in people, in sewage treatment plants and from the soil and water. These were analysed to investigate how common the various resistance genes were in bacterial DNA. The study analysed 630 billion DNA sequences in total and the results showed that the resistance genes are present in almost all environments. Prior to this study, there was no knowledge about the incidence of these new resistance genes.

The method used by the researchers is called metagenomics, and is not new, but so far has not been used to analyse new types of antibiotic resistance genes in such large quantities. Metagenomics is a method of studying the metagenome, which is the complete gene set of all different organisms in a given sample or within a given environment. Using the method, it is also possible to study microorganisms that cannot be grown in a lab.

The study entitled Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes has been published in the journal Microbiome.

This study has been carried out by Salvador Inda-Díaz, David Lund, Marcos Parras-Moltó, Anna Johnning, Johan Bengtsson-Palme and Erik Kristiansson. The researchers work at Chalmers University of Technology, University of Gothenburg and Fraunhofer-Chalmers Centre.

Contact

Erik Kristiansson
  • Full Professor, Applied Mathematics and Statistics, Mathematical Sciences
Johan Bengtsson Palme
  • Assistant Professor, Systems Biology, Life Sciences

Author

Karin Wik