Enhanced detection of Giardia duodenalis mixed assemblage infections in pre-weaned dairy calves using next generation sequencing
Josephine S Y Hublin
1
,
Jenny Maloney
1
,
Nadja S George
1
,
Aleksey Molokin
1
,
Jason E. Lombard
2
,
Natalie J. Urie
2
,
Chelsey B. Shivley
3
,
Mónica Santín
1
2
USDA-Animal and Plant Health Inspection Service (APHIS)-Veterinary Services (VS) Center for Epidemiology and Animal Health, National Animal Health Monitoring System, Fort Collins, Colorado, USA
|
3
USDA-Animal and Plant Health Inspection Service (APHIS)-Veterinary Services (VS) Office of Interagency Coordination, Fort Collins, Colorado, USA
|
Publication type: Journal Article
Publication date: 2022-04-01
scimago Q1
wos Q1
SJR: 0.606
CiteScore: 4.2
Impact factor: 2.2
ISSN: 03044017, 18732550
PubMed ID:
35381524
General Medicine
General Veterinary
Parasitology
Abstract
Giardia duodenalis is one of the most common parasitic causes of gastrointestinal illness in humans worldwide with widespread infections in mammalian hosts. It frequently infects cattle, producing a high number of cysts. Cattle can harbor both host-adapted assemblage E and human pathogenic assemblages A and B. Previous studies have demonstrated that conventional molecular methods lack the sensitivity required for detecting mixed infections and that the occurrence of mixed infections in cattle are likely underestimated. To investigate the presence of mixed assemblage infections in cattle, 2539 pre-weaned dairy calves from the United Stated were screened for the presence of G. duodenalis using molecular tools. Next generation amplicon sequencing (NGS) was then performed for a subset of around 30% of positive samples (n = 314) and the ability of NGS and Sanger sequencing to detect mixed assemblage infections was compared. The overall prevalence of G. duodenalis in pre-weaned dairy calves in the sample using PCR was high (1013/2539; 39.9%). Molecular genotyping identified only assemblage A and E, with assemblage E as the predominant assemblage. Out of the 314 samples examined by both Sanger and NGS, 9 samples (2.9%) were identified as mixed A/E infections by Sanger while NGS identified 56 samples (17.8%), which was six-times more mixed infections compared with Sanger sequencing. NGS demonstrated superior sensitivity to Sanger in detecting assemblages present in low abundances. The percentage of mixed A/E infections found in the sampled dairy calves was higher than was hypothesized using values from the literature. This underestimation could be present in the wider cattle population as well, though further exploration would be needed to verify that claim. These findings highlight the advantages of NGS application in molecular epidemiological studies of Giardia. To better understand Giardia epidemiology, establish routes of transmission, and assess the potential role of cattle and other animals as a source of environmental contamination with zoonotic assemblages it is necessary to uncover mixed assemblage infections.
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Hublin J. S. Y. et al. Enhanced detection of Giardia duodenalis mixed assemblage infections in pre-weaned dairy calves using next generation sequencing // Veterinary Parasitology. 2022. Vol. 304. p. 109702.
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Hublin J. S. Y., Maloney J., George N. S., Molokin A., Lombard J. E., Urie N. J., Shivley C. B., Santín M. Enhanced detection of Giardia duodenalis mixed assemblage infections in pre-weaned dairy calves using next generation sequencing // Veterinary Parasitology. 2022. Vol. 304. p. 109702.
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RIS
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TY - JOUR
DO - 10.1016/j.vetpar.2022.109702
UR - https://doi.org/10.1016/j.vetpar.2022.109702
TI - Enhanced detection of Giardia duodenalis mixed assemblage infections in pre-weaned dairy calves using next generation sequencing
T2 - Veterinary Parasitology
AU - Hublin, Josephine S Y
AU - Maloney, Jenny
AU - George, Nadja S
AU - Molokin, Aleksey
AU - Lombard, Jason E.
AU - Urie, Natalie J.
AU - Shivley, Chelsey B.
AU - Santín, Mónica
PY - 2022
DA - 2022/04/01
PB - Elsevier
SP - 109702
VL - 304
PMID - 35381524
SN - 0304-4017
SN - 1873-2550
ER -
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@article{2022_Hublin,
author = {Josephine S Y Hublin and Jenny Maloney and Nadja S George and Aleksey Molokin and Jason E. Lombard and Natalie J. Urie and Chelsey B. Shivley and Mónica Santín},
title = {Enhanced detection of Giardia duodenalis mixed assemblage infections in pre-weaned dairy calves using next generation sequencing},
journal = {Veterinary Parasitology},
year = {2022},
volume = {304},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016/j.vetpar.2022.109702},
pages = {109702},
doi = {10.1016/j.vetpar.2022.109702}
}