Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
The diagnostic value of qPCR quantification of Paenibacillus larvae in hive debris and adult bees for predicting the onset of American foulbrood
ID
Papić, Bojan
(
Author
),
ID
Žvokelj, Lucija
(
Author
),
ID
Pislak, Metka
(
Author
),
ID
Hočevar, Barbara
(
Author
),
ID
Kozar, Monika
(
Author
),
ID
Rus, Rene
(
Author
),
ID
Zajc, Urška
(
Author
),
ID
Kušar, Darja
(
Author
)
PDF - Presentation file,
Download
(999,34 KB)
MD5: E290005775C1921564EC77126105DE8D
URL - Source URL, Visit
https://www.mdpi.com/2306-7381/11/9/442
Image galllery
Abstract
American foulbrood (AFB) is a serious infectious disease of honeybees (Apis mellifera) caused by Paenibacillus larvae. Increased P. larvae count in hive-related material is associated with an increased risk of AFB. Here, we quantified P. larvae cells in 106 adult bee and 97 hive debris samples using quantitative PCR (qPCR); 66/106 adult bee and 66/97 hive debris samples were collected simultaneously from the same bee colony (paired-sample design). The corresponding bee colonies were also examined for the presence of AFB clinical signs. A binary logistic regression model to distinguish between AFB-affected and unaffected honeybee colonies showed a strong diagnostic accuracy of both sample types for predicting the onset of AFB based on P. larvae counts determined by qPCR. The colonies with a P. larvae count greater than 4.5 log cells/adult bee or 7.3 log cells/mL hive debris had a 50% probability of being clinically affected and were categorized as high-risk. The AFB-unaffected colonies had significantly lower P. larvae counts than the AFB-affected colonies, but the latter did not differ significantly in P. larvae counts in relation to the severity of clinical signs. Both bee-related sample types had a high diagnostic value for predicting disease outcome based on P. larvae counts. These results improve the understanding of the relationship between P. larvae counts and AFB occurrence, which is essential for early detection of high-risk colonies.
Language:
English
Keywords:
Paenibacillus larvae
,
American foulbrood
,
quantitative PCR
,
logistic regression
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
VF - Veterinary Faculty
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
12 str.
Numbering:
Vol. 11, iss. 9, art. 442
PID:
20.500.12556/RUL-163047
UDC:
636.09:579
ISSN on article:
2306-7381
DOI:
10.3390/vetsci11090442
COBISS.SI-ID:
209674755
Publication date in RUL:
01.10.2024
Views:
107
Downloads:
8
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Veterinary sciences
Shortened title:
Vet. sci.
Publisher:
MDPI
ISSN:
2306-7381
COBISS.SI-ID:
523429657
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.10.2024
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P4-0092
Name:
Zdravje živali, okolje in varna hrana
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
Z4-3216
Name:
Genetska raznolikost in virulenca bakterije Paenibacillus larvae, povzročitelja hude gnilobe čebelje zalege
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back