Explaining bacterial dispersion on leaf surfaces with an individual-based model (PHYLLOSIM)

TY - JOUR

T1 - Explaining bacterial dispersion on leaf surfaces with an individual-based model (PHYLLOSIM)

AU - Van der Wal, A.

AU - Tecon, R.

AU - Kreft, J.U.

AU - Mooij, W.M.

AU - Leveau, J.H.J.

N1 - Reporting year: 2013 Metis note: 5473; AqE; ME; Data archiving: data archived at journal

PY - 2013

Y1 - 2013

N2 - We developed the individual-based model PHYLLOSIM to explain observed variation in the size of bacterial clusters on plant leaf surfaces (the phyllosphere). Specifically, we tested how different ‘waterscapes’ impacted the diffusion of nutrients from the leaf interior to the surface and the growth of individual bacteria on these nutrients. In the ‘null’ model or more complex ‘patchy’ models, the surface was covered with a continuous water film or with water drops of equal or different volumes, respectively. While these models predicted the growth of individual bacterial immigrants into clusters of variable sizes, they were unable to reproduce experimentally derived, previously published patterns of dispersion which were characterized by a much larger variation in cluster sizes and a disproportionate occurrence of clusters consisting of only one or two bacteria. The fit of model predictions to experimental data was about equally poor (

AB - We developed the individual-based model PHYLLOSIM to explain observed variation in the size of bacterial clusters on plant leaf surfaces (the phyllosphere). Specifically, we tested how different ‘waterscapes’ impacted the diffusion of nutrients from the leaf interior to the surface and the growth of individual bacteria on these nutrients. In the ‘null’ model or more complex ‘patchy’ models, the surface was covered with a continuous water film or with water drops of equal or different volumes, respectively. While these models predicted the growth of individual bacterial immigrants into clusters of variable sizes, they were unable to reproduce experimentally derived, previously published patterns of dispersion which were characterized by a much larger variation in cluster sizes and a disproportionate occurrence of clusters consisting of only one or two bacteria. The fit of model predictions to experimental data was about equally poor (

KW - international

U2 - 10.1371/journal.pone.0075633

DO - 10.1371/journal.pone.0075633

M3 - Article

SN - 1932-6203

VL - 8

JO - PLoS One

JF - PLoS One

IS - 10

M1 - e75633

ER -