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

Olsen, Niels Lundtorp; Herren, Pascal; Markussen, Bo; Jensen, Annette Bruun; Eilenberg, Jørgen

doi:10.21256/zhaw-3248

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3248

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species
Authors:	Olsen, Niels Lundtorp Herren, Pascal Markussen, Bo Jensen, Annette Bruun Eilenberg, Jørgen
DOI:	10.21256/zhaw-3248 10.1371/journal.pone.0215914
Published in:	PLOS ONE
Volume(Issue):	14
Issue:	5
Issue Date:	2019
Publisher / Ed. Institution:	Public Library of Science
ISSN:	1932-6203
Language:	English
Subjects:	Conidia; Statistical analysis; Entomophthorales; Pandora; Conidial discharge; Biocontrol
Subject (DDC):	570: Biology
Abstract:	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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/17178
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Natural Resource Sciences (IUNR)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Olsen, N. L., Herren, P., Markussen, B., Jensen, A. B., & Eilenberg, J. (2019). Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species. Plos One, 14(5). https://doi.org/10.21256/zhaw-3248

Olsen, N.L. et al. (2019) ‘Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species’, PLOS ONE, 14(5). Available at: https://doi.org/10.21256/zhaw-3248.

N. L. Olsen, P. Herren, B. Markussen, A. B. Jensen, and J. Eilenberg, “Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species,” PLOS ONE, vol. 14, no. 5, 2019, doi: 10.21256/zhaw-3248.

OLSEN, Niels Lundtorp, Pascal HERREN, Bo MARKUSSEN, Annette Bruun JENSEN und Jørgen EILENBERG, 2019. Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species. PLOS ONE. 2019. Bd. 14, Nr. 5. DOI 10.21256/zhaw-3248

Olsen, Niels Lundtorp, Pascal Herren, Bo Markussen, Annette Bruun Jensen, and Jørgen Eilenberg. 2019. “Statistical Modelling of Conidial Discharge of Entomophthoralean Fungi Using a Newly Discovered Pandora Species.” Plos One 14 (5). https://doi.org/10.21256/zhaw-3248.

Olsen, Niels Lundtorp, et al. “Statistical Modelling of Conidial Discharge of Entomophthoralean Fungi Using a Newly Discovered Pandora Species.” Plos One, vol. 14, no. 5, 2019, https://doi.org/10.21256/zhaw-3248.