Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species

TY - JOUR

T1 - Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species

AU - Olsen, Niels Aske Lundtorp

AU - Herren, Pascal

AU - Markussen, Bo

AU - Jensen, Annette Bruun

AU - Eilenberg, Jørgen

PY - 2019/5/22

Y1 - 2019/5/22

N2 - Entomophthoralean fungi are insect pathogenic fungi and are characterized by their active discharge of infective conidia that infect insects. Our aim was to study the effects of temperature on the discharge and to characterize the variation in the associated temporal pattern of a newly discovered Pandora species with focus on peak location and shape of the discharge. Mycelia were incubated at various temperatures in darkness, and conidial discharge was measured over time. We used a novel modification of a statistical model (pavpop), that simultaneously estimates phase and amplitude effects, into a setting of generalized linear models. This model is used to test hypotheses of peak location and discharge of conidia. The statistical analysis showed that high temperature leads to an early and fast decreasing peak, whereas there were no significant differences in total number of discharged conidia. Using the proposed model we also quantified the biological variation in the timing of the peak location at a fixed temperature.

AB - Entomophthoralean fungi are insect pathogenic fungi and are characterized by their active discharge of infective conidia that infect insects. Our aim was to study the effects of temperature on the discharge and to characterize the variation in the associated temporal pattern of a newly discovered Pandora species with focus on peak location and shape of the discharge. Mycelia were incubated at various temperatures in darkness, and conidial discharge was measured over time. We used a novel modification of a statistical model (pavpop), that simultaneously estimates phase and amplitude effects, into a setting of generalized linear models. This model is used to test hypotheses of peak location and discharge of conidia. The statistical analysis showed that high temperature leads to an early and fast decreasing peak, whereas there were no significant differences in total number of discharged conidia. Using the proposed model we also quantified the biological variation in the timing of the peak location at a fixed temperature.

U2 - 10.1371/journal.pone.0215914

DO - 10.1371/journal.pone.0215914

M3 - Journal article

C2 - 31116738

SN - 1932-6203

VL - 14

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 5

M1 - e0215914.h

ER -