The second online Microbial Evolution Seminar will take place on 17 December 10am EST/ 4pm CET.
Assistant Professor Elsa Hansen from the Pennsylvania State University, will present her recent work on antibiotic resistance.
Elsa will give a 20 minute presentation, followed by 40 minutes of discussion in break-out rooms and in-plenum. We would like these sessions to be informal and with opportunity for participants and presenters of different backgrounds and expertise to join in.
If you want to participate, you can sign up here. If you (know of someone who)’d like to be added to the mailing list let us know.
Organizers: Sandra Breum Andersen, Jesse Shapiro, Constance Schultzs, Michael Baym, Melanie Ghoul & Marjon de Vos
Despite the corona situation science continues, online and offline.
Marjon gave a presentation at the virtual meeting ‘Dynamics of Biological Systems: from viruses to populations’, organized by Katarzyna Dziedzic-Kocurek, Jakub Mielczarek, Marcin Zagorski and hosted by the Garage of Complexity, Jagiellonian University (Poland).
From September on we will have few new lab members.
A new PhD student will investigate the role of epistasis and ecological interactions on the evolution of antibiotic resistance and horizontal gene transfer in polymicrobial infectious communities – and MSc students will work together with the PhD students in silico and in the laboratory, online and offline.
Due to COVID-19 measures it is yet unclear when the labs will reopen –
We are looking for talented students who wish to design their own PhD research project within the scope of the research theme Adaptive life. Please click on the following link for a non-exhaustive list of topics and associated supervisors: https://www.rug.nl/(…)research-topics.docx.
You are expected to write your own research proposal on one of the topics related to the theme Adaptive Life. One of these topics is The spread of antimicrobial resistance via horizontal gene transfer in infectious microbial communities. Supervised by Marjon de Vos, Sander van Doorn and Oscar Kuipers. If you are interested in this topic – feel free to contact me.
You can send in your application, including a short research proposal before 1 April 2020.
Taking an evolutionary view can inspire new ideas in clinical microbiology. For example, evolutionary studies can reveal why some antimicrobial dosing regimens are better than others in preventing the development of drug resistance. Looking at microbial communities, rather than just the pathogenic micro-organisms, can also lead to new insights. That is why clinicians, bioinformaticians analysing pathogens and evolutionary biologists should all work together. Read more here.
Abstract. Bacteria and other microbes play a crucial role in human health and disease. Medicine and clinical microbiology have traditionally attempted to identify the etiological agents that causes disease, and how to eliminate them. Yet this traditional paradigm is becoming inadequate for dealing with a changing disease landscape. Major challenges to human health are noncommunicable chronic diseases, often driven by altered immunity and inflammation, and persistent communicable infections whose agents harbor antibiotic resistance. It is increasingly recognized that microbe-microbe interactions, as well as human-microbe interactions are important. Here, we review the “Evolutionary Medicine” framework to study how microbial communities influence human health. This approach aims to predict and manipulate microbial influences on human health by integrating ecology, evolutionary biology, microbiology, bioinformatics and clinical expertise. We focus on the potential promise of evolutionary medicine to address three key challenges: 1) detecting microbial transmission; 2) predicting antimicrobial resistance; 3) understanding microbe-microbe and human-microbe interactions in health and disease, in the context of the microbiome.
Abstract. The topography of the adaptive landscape is a major determinant of the course of evolution. In this review we use the adaptive landscape metaphor to highlight the effect of ecology on evolution. We describe how ecological interactions modulate the shape of the adaptive landscape, and how this affects adaptive constraints. We focus on microbial communities as model systems.