Detailed Information on Publication Record
2019
Modelling invasive pathogen load from non-destructive sampling data
MARTÍNKOVÁ, Natália, Pavel ŠKRABÁNEK and Jiří PIKULABasic information
Original name
Modelling invasive pathogen load from non-destructive sampling data
Authors
MARTÍNKOVÁ, Natália (703 Slovakia, guarantor, belonging to the institution), Pavel ŠKRABÁNEK (203 Czech Republic) and Jiří PIKULA (203 Czech Republic)
Edition
Journal of Theoretical Biology, London, Elsevier, 2019, 0022-5193
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10602 Biology , Evolutionary biology
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.327
RIV identification code
RIV/00216224:14110/19:00113549
Organization unit
Faculty of Medicine
UT WoS
000457204500009
Keywords in English
Pathogen load; Skin lesion; Fungal infection; Pseudogymnoascus destructans; White-nose syndrome; Bat; UV light diagnostics
Tags
International impact, Reviewed
Změněno: 15/4/2020 11:15, Mgr. Tereza Miškechová
Abstract
V originále
Where microbes colonizing skin surface may help maintain organism homeostasis, those that invade living skin layers cause disease. In bats, white-nose syndrome is a fungal skin infection that affects animals during hibernation and may lead to mortality in severe cases. Here, we inferred the amount of fungus that had invaded skin tissue of diseased animals. We used simulations to estimate the unobserved disease severity in a non-lethal wing punch biopsy and to relate the simulated pathology to the measured fungal load in paired biopsies. We found that a single white-nose syndrome skin lesion packed with spores and hyphae of the causative agent, Pseudogymnoascus destructans, contains 48.93 pg of the pathogen DNA, which amounts to about 1560 P destructans genomes in one skin lesion.