Together with Joakim Larsson‘s lab, we now have an open two-year postdoc position in bioinformatics on antibiotic resistance and biocide resistance. The development of antibiotic resistance has been driven by use of antibiotics, but antibacterial biocides also have the potential to select for antibiotic resistance. However, knowledge of which genes that contribute to biocide resistance and could be associated with antibiotic resistance is sparse. To some extent, such genes are documented in the BacMet database which we have developed, but this collection of resistance genes is only scratching the surface of all biocide resistance that exists among bacteria in the environment.
We are now looking for a postdoctoral fellow to continue the important work on bioinformatic analysis of biocide and antibiotic resistance to answer the question whether increasing biocide resistance would be a threat to human health. The postdoc will be working with the development of the BacMet database to make it more targeted towards biocidal substances and products in addition to resistance genes. The tasks include bioinformatic sequence analysis, literature studies and database and web programming. The work will also include investigations of the prevalence of the identified resistance genes in genomes and metagenomes.
The recruited person will work closely with both my group and the group of Prof. Joakim Larsson, and will participate in the JPIAMR-funded BIOCIDE project. You can apply to the postdoc position at the University of Gothenburg application portal: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=25122
The deadline is May 4, 2022. Come work with us on this exciting topic in the intersect between two great research environments (if I may say it myself!) We look forward to your application!
The newly formed BIOCIDE program, seeking to determine how antibacterial biocides contribute to the development of biocide resistance and spread of antibiotic resistant bacteria, is organizing a workshop on risk assessment of biocide and antibiotic resistance on the 9th of March this year. I will be giving a talk on the BacMet database and how that will be integrated in risk assessment and the research program. If you have an interest in the risk associated with biocides, or antibiotic resistance development, I strongly suggest that you take part in this exciting workshop, particularly if you are working for a regulatory authority.
The program targets biocide resistance and cross-resistance to antibiotics, guidance development for assessment of biocide resistance, the BacMet biocide resistance database, and the assessment of environmental exposure to biocides and risks for co-selection. The workshop will include speakers such as Joakim Larsson, Nabila Haddache, Marlene Ågerstrand and Frank Schreiber.
More information can be found here: https://www.gu.se/en/biocide/risk-assessment-of-biocide-and-antibiotic-resistance
It seems like our paper on the recently launched database on resistance genes against antibacterial biocides and metals (BacMet) has gone online as an advance access paper in Nucleic Acids Research today. Chandan Pal – the first author of the paper, and one of my close colleagues as well as my roommate at work – has made a tremendous job taking the database from a list of genes and references, to a full-fledged browsable and searchable database with a really nice interface. I have contributed along the process, and wrote the lion’s share of the code for the BacMet-Scan tool that can be downloaded along with the database files.
BacMet is a curated source of bacterial resistance genes against antibacterial biocides and metals. All gene entries included have at least one experimentally confirmed resistance gene with references in scientific literature. However, we have also made a homology-based prediction of genes that are likely to share the same resistance function (the BacMet predicted dataset). We believe that the BacMet database will make it possible to better understand co- and cross-resistance of biocides and metals to antibiotics within bacterial genomes and in complex microbial communities from different environments.
The database can be easily accessed here: http://bacmet.biomedicine.gu.se, and use of the database in scientific work can cite the following paper, which recently appeared in Nucleic Acids Research:
Pal C, Bengtsson-Palme J, Rensing C, Kristiansson E, Larsson DGJ: BacMet: Antibacterial Biocide and Metal Resistance Genes Database. Nucleic Acids Research. Database issue, advance access. doi: 10.1093/nar/gkt1252 [Paper link]