Association with pathogenic bacteria affects life-history traits and population growth in Caenorhabditis elegans.
Determining the relationship between individual life-history traits and population dynamics is an essential step to understand and predict natural selection. Model organisms that can be conveniently studied experimentally at both levels are invaluable to test the rich body of theoretical literature in this area. The nematode Caenorhabditis elegans, despite being a well-established workhorse in genetics, has only recently received attention from ecologists and evolutionary biologists, especially with respect to its association with pathogenic bacteria. In order to start filling the gap between the two areas, we conducted a series of experiments aiming at measuring life-history traits as well as population growth of C. elegans in response to three different bacterial strains: Escherichia coli OP50, Salmonella enterica Typhimurium, and Pseudomonas aeruginosa PAO1. Whereas previous studies had established that the latter two reduced the survival of nematodes feeding on them compared to E. coli OP50, we report for the first time an enhancement in reproductive success and population growth for worms feeding on S. enterica Typhimurium. Furthermore, we used an age-specific population dynamic model, parameterized using individual life-history assays, to successfully predict the growth of populations over three generations. This study paves the way for more detailed and quantitative experimental investigation of the ecology and evolution of C. elegans and the bacteria it interacts with, which could improve our understanding of the fate of opportunistic pathogens in the environment.
Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.
S Anaid
SA
Diaz
Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.
Eric Q
EQ
Mooring
Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK ; Delft Institute of Applied Mathematics, EEMCS Faculty, Delft University of Technology Delft, The Netherlands.
Elisabeth G
EG
Rens
Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.
Olivier
O
Restif
Development; diet; fitness; mathematical model; model system