Kiel Life Science

Prof. Dr. John Baines

Institute of Experimental Medicine, c/o Max-Planck-Institute for Evolutionary Biology

Arnold-Heller-Straße 3, 24105 Kiel
Phone: +49 431 500 30310
Telefax: +49 431 500 30308
j.baines@iem.uni-kiel.de

Faculty of Medicine

Additional address

Guest Group Evolutionary Genomics
August-Thienemann-Straße 2, 24306 Plön
Phone: +49 4522 763 367
Fax: +49 4522 763 310
baines@evolbio.mpg.de

Click HERE to enter the website of the institute

Research interests

John Baines is Professor of Evolutionary Genomics at the Christian-Albrechts-University of Kiel since April 2009.  As part of the Excellence Cluster "Inflammation at Interfaces", he has a dual appointment in both the Medical Faculty of the CAU (Institute for Experimental Medicine) and at the Max Planck Institute for Evolutionary Biology in nearby Plön.  His working group operates laboratories at both the University Clinic Schleswig-Holstein (UK-SH), Campus Kiel and at the MPI in Plön, serving as a bridge between research in evolutionary biology and medicine. Topics in his group include the evolution of disease genes and the genetic basis of interactions between mammalian hosts and their commensal microbiota, particularly in relation to chronic inflammatory disorders. The lab is a participating member of the International Max Planck Research School for Evolutionary Biology in cooperation with the University of Kiel. John Baines is also a full member of the recently established interdisciplinary center for applied life sciences “Kiel Life Science” (KLS) at Kiel University.

Research Overview:  Since being appointed within the DFG Excellence Cluster “Inflammation at Interfaces” in 2009, the group of John Baines has shifted its focus to the coevolution of vertebrate hosts and their complex communities of commensal bacteria, or “microbiota”, in an effort to better understand this relationship in the context of both human health and disease. A combination of population genetics, microbial ecology and evolutionary functional genomics is applied to identify and characterize the complex interactions between hosts, their bacteria and the environment.

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