Loading…
Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology
The objectives of this study were (a) to detect gastrointestinal pathogens in faecal samples of sheep and goats using the FilmArray GI Panel and (b) to evaluate factors that were associated with their presence. Faecal samples from ewes or does in 70 sheep flocks and 24 goat herds in Greece were test...
Saved in:
Published in: | Microorganisms (Basel) 2022-03, Vol.10 (4), p.714 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53 |
---|---|
cites | cdi_FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53 |
container_end_page | |
container_issue | 4 |
container_start_page | 714 |
container_title | Microorganisms (Basel) |
container_volume | 10 |
creator | Tsilipounidaki, Katerina Florou, Zoe Lianou, Daphne T Michael, Charalambia K Katsarou, Eleni I Skoulakis, Anargyros Fthenakis, George C Petinaki, Efthymia |
description | The objectives of this study were (a) to detect gastrointestinal pathogens in faecal samples of sheep and goats using the FilmArray
GI Panel and (b) to evaluate factors that were associated with their presence. Faecal samples from ewes or does in 70 sheep flocks and 24 goat herds in Greece were tested for the presence of 22 gastrointestinal pathogens by means of the BioFire
FilmArray
Gastrointestinal (GI) Panel. The most frequently detected pathogens were Shiga-like toxin-producing
stx1/stx2 (94.7% of farms),
(59.6%), and
spp. (50.0% of farms). Other pathogens detected were
spp.,
spp., enterotoxigenic
lt/st,
,
O157, Rotavirus A,
/enteroinvasive
and
. There was a difference in the prevalence of detection of pathogens between sheep and goat farms only for
spp.: 18.3% versus 0.0%, respectively. Mixed infections were detected in 76 farms (80.9% of farms), specifically 57 sheep flocks and 19 goat herds, with on average, 2.5 ± 0.1 pathogens detected per farm. The body condition score of ewes in farms, in which only one pathogen was detected in faecal samples, was significantly higher than that of ewes in farms, in which at least two pathogens were detected: 2.55 ± 0.11 versus 2.31 ± 0.04. In sheep flocks, the number of pathogens in faecal samples was significantly higher in farms with semi-extensive management. In goat herds, the number of pathogens in faecal samples was positively correlated with average precipitation and inversely correlated with temperature range in the respective locations. |
doi_str_mv | 10.3390/microorganisms10040714 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_f5b16ed4d74d4d26b04844caadd57899</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_f5b16ed4d74d4d26b04844caadd57899</doaj_id><sourcerecordid>2653005079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53</originalsourceid><addsrcrecordid>eNptks9O3DAQxqOqVUGUV0CWeulli_8nuVRCCyxIVEUtXHqxJvEk61Vib-1sxb5UH6JPVsNSBFV9sC37m59nxl9RHDH6UYiaHo-ujSHEHrxLY2KUSloy-arY57TUM65p-frZfq84TGlF86iZqBR7W-wJJZUutdov7k5xwnZywZPQke8h-DC5liwgTTE4P2GanIeBXMO0DD36RJwnp-DilnxbIq4JeEsWAaZEmi25Tc735NwN40mMsCW_f5HPm2Fy6wHvZtfzr-QG26UPQ-i374o3HQwJDx_Xg-L2_OxmfjG7-rK4nJ9czVqhhJy1DHlNOUdVsY7rDoS1XNW8EmA7C51isqyZrVAr3TYoa7Q5EIWsOgq6U-KguNxxbYCVWUc3QtyaAM48HOQuGoi55AFNpxqm0Upbyjxx3VBZSdkCWKvKqq4z69OOtd40Y34I_RRheAF9eePd0vThp6mpoFKzDPjwCIjhxyb31owutTgM4DFskuFaSV4pWoosff-PdBU2MX_Fg0pQmlX3GemdKhsipYjdUzKMmnuvmP97JQcePS_lKeyvM8QfjnXBLw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2653005079</pqid></control><display><type>article</type><title>Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Tsilipounidaki, Katerina ; Florou, Zoe ; Lianou, Daphne T ; Michael, Charalambia K ; Katsarou, Eleni I ; Skoulakis, Anargyros ; Fthenakis, George C ; Petinaki, Efthymia</creator><creatorcontrib>Tsilipounidaki, Katerina ; Florou, Zoe ; Lianou, Daphne T ; Michael, Charalambia K ; Katsarou, Eleni I ; Skoulakis, Anargyros ; Fthenakis, George C ; Petinaki, Efthymia</creatorcontrib><description>The objectives of this study were (a) to detect gastrointestinal pathogens in faecal samples of sheep and goats using the FilmArray
GI Panel and (b) to evaluate factors that were associated with their presence. Faecal samples from ewes or does in 70 sheep flocks and 24 goat herds in Greece were tested for the presence of 22 gastrointestinal pathogens by means of the BioFire
FilmArray
Gastrointestinal (GI) Panel. The most frequently detected pathogens were Shiga-like toxin-producing
stx1/stx2 (94.7% of farms),
(59.6%), and
spp. (50.0% of farms). Other pathogens detected were
spp.,
spp., enterotoxigenic
lt/st,
,
O157, Rotavirus A,
/enteroinvasive
and
. There was a difference in the prevalence of detection of pathogens between sheep and goat farms only for
spp.: 18.3% versus 0.0%, respectively. Mixed infections were detected in 76 farms (80.9% of farms), specifically 57 sheep flocks and 19 goat herds, with on average, 2.5 ± 0.1 pathogens detected per farm. The body condition score of ewes in farms, in which only one pathogen was detected in faecal samples, was significantly higher than that of ewes in farms, in which at least two pathogens were detected: 2.55 ± 0.11 versus 2.31 ± 0.04. In sheep flocks, the number of pathogens in faecal samples was significantly higher in farms with semi-extensive management. In goat herds, the number of pathogens in faecal samples was positively correlated with average precipitation and inversely correlated with temperature range in the respective locations.</description><identifier>ISSN: 2076-2607</identifier><identifier>EISSN: 2076-2607</identifier><identifier>DOI: 10.3390/microorganisms10040714</identifier><identifier>PMID: 35456765</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Agriculture ; Animals ; Bacteria ; Campylobacter ; Cryptosporidium ; diarrhoea ; E coli ; Escherichia coli ; Farms ; Feces ; FilmArray ; Giardia ; Goats ; Infections ; Laboratories ; Livestock farming ; Pathogens ; Rotavirus ; Salmonella ; Sheep ; Shiga-like toxin ; Toxins ; Variance analysis ; Viruses ; Zoonoses</subject><ispartof>Microorganisms (Basel), 2022-03, Vol.10 (4), p.714</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53</citedby><cites>FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53</cites><orcidid>0000-0002-2819-2089</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2653005079/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2653005079?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,25740,27911,27912,36999,37000,44577,53778,53780,74881</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35456765$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tsilipounidaki, Katerina</creatorcontrib><creatorcontrib>Florou, Zoe</creatorcontrib><creatorcontrib>Lianou, Daphne T</creatorcontrib><creatorcontrib>Michael, Charalambia K</creatorcontrib><creatorcontrib>Katsarou, Eleni I</creatorcontrib><creatorcontrib>Skoulakis, Anargyros</creatorcontrib><creatorcontrib>Fthenakis, George C</creatorcontrib><creatorcontrib>Petinaki, Efthymia</creatorcontrib><title>Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology</title><title>Microorganisms (Basel)</title><addtitle>Microorganisms</addtitle><description>The objectives of this study were (a) to detect gastrointestinal pathogens in faecal samples of sheep and goats using the FilmArray
GI Panel and (b) to evaluate factors that were associated with their presence. Faecal samples from ewes or does in 70 sheep flocks and 24 goat herds in Greece were tested for the presence of 22 gastrointestinal pathogens by means of the BioFire
FilmArray
Gastrointestinal (GI) Panel. The most frequently detected pathogens were Shiga-like toxin-producing
stx1/stx2 (94.7% of farms),
(59.6%), and
spp. (50.0% of farms). Other pathogens detected were
spp.,
spp., enterotoxigenic
lt/st,
,
O157, Rotavirus A,
/enteroinvasive
and
. There was a difference in the prevalence of detection of pathogens between sheep and goat farms only for
spp.: 18.3% versus 0.0%, respectively. Mixed infections were detected in 76 farms (80.9% of farms), specifically 57 sheep flocks and 19 goat herds, with on average, 2.5 ± 0.1 pathogens detected per farm. The body condition score of ewes in farms, in which only one pathogen was detected in faecal samples, was significantly higher than that of ewes in farms, in which at least two pathogens were detected: 2.55 ± 0.11 versus 2.31 ± 0.04. In sheep flocks, the number of pathogens in faecal samples was significantly higher in farms with semi-extensive management. In goat herds, the number of pathogens in faecal samples was positively correlated with average precipitation and inversely correlated with temperature range in the respective locations.</description><subject>Agriculture</subject><subject>Animals</subject><subject>Bacteria</subject><subject>Campylobacter</subject><subject>Cryptosporidium</subject><subject>diarrhoea</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Farms</subject><subject>Feces</subject><subject>FilmArray</subject><subject>Giardia</subject><subject>Goats</subject><subject>Infections</subject><subject>Laboratories</subject><subject>Livestock farming</subject><subject>Pathogens</subject><subject>Rotavirus</subject><subject>Salmonella</subject><subject>Sheep</subject><subject>Shiga-like toxin</subject><subject>Toxins</subject><subject>Variance analysis</subject><subject>Viruses</subject><subject>Zoonoses</subject><issn>2076-2607</issn><issn>2076-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks9O3DAQxqOqVUGUV0CWeulli_8nuVRCCyxIVEUtXHqxJvEk61Vib-1sxb5UH6JPVsNSBFV9sC37m59nxl9RHDH6UYiaHo-ujSHEHrxLY2KUSloy-arY57TUM65p-frZfq84TGlF86iZqBR7W-wJJZUutdov7k5xwnZywZPQke8h-DC5liwgTTE4P2GanIeBXMO0DD36RJwnp-DilnxbIq4JeEsWAaZEmi25Tc735NwN40mMsCW_f5HPm2Fy6wHvZtfzr-QG26UPQ-i374o3HQwJDx_Xg-L2_OxmfjG7-rK4nJ9czVqhhJy1DHlNOUdVsY7rDoS1XNW8EmA7C51isqyZrVAr3TYoa7Q5EIWsOgq6U-KguNxxbYCVWUc3QtyaAM48HOQuGoi55AFNpxqm0Upbyjxx3VBZSdkCWKvKqq4z69OOtd40Y34I_RRheAF9eePd0vThp6mpoFKzDPjwCIjhxyb31owutTgM4DFskuFaSV4pWoosff-PdBU2MX_Fg0pQmlX3GemdKhsipYjdUzKMmnuvmP97JQcePS_lKeyvM8QfjnXBLw</recordid><startdate>20220325</startdate><enddate>20220325</enddate><creator>Tsilipounidaki, Katerina</creator><creator>Florou, Zoe</creator><creator>Lianou, Daphne T</creator><creator>Michael, Charalambia K</creator><creator>Katsarou, Eleni I</creator><creator>Skoulakis, Anargyros</creator><creator>Fthenakis, George C</creator><creator>Petinaki, Efthymia</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T7</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2819-2089</orcidid></search><sort><creationdate>20220325</creationdate><title>Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology</title><author>Tsilipounidaki, Katerina ; Florou, Zoe ; Lianou, Daphne T ; Michael, Charalambia K ; Katsarou, Eleni I ; Skoulakis, Anargyros ; Fthenakis, George C ; Petinaki, Efthymia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agriculture</topic><topic>Animals</topic><topic>Bacteria</topic><topic>Campylobacter</topic><topic>Cryptosporidium</topic><topic>diarrhoea</topic><topic>E coli</topic><topic>Escherichia coli</topic><topic>Farms</topic><topic>Feces</topic><topic>FilmArray</topic><topic>Giardia</topic><topic>Goats</topic><topic>Infections</topic><topic>Laboratories</topic><topic>Livestock farming</topic><topic>Pathogens</topic><topic>Rotavirus</topic><topic>Salmonella</topic><topic>Sheep</topic><topic>Shiga-like toxin</topic><topic>Toxins</topic><topic>Variance analysis</topic><topic>Viruses</topic><topic>Zoonoses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tsilipounidaki, Katerina</creatorcontrib><creatorcontrib>Florou, Zoe</creatorcontrib><creatorcontrib>Lianou, Daphne T</creatorcontrib><creatorcontrib>Michael, Charalambia K</creatorcontrib><creatorcontrib>Katsarou, Eleni I</creatorcontrib><creatorcontrib>Skoulakis, Anargyros</creatorcontrib><creatorcontrib>Fthenakis, George C</creatorcontrib><creatorcontrib>Petinaki, Efthymia</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Microorganisms (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tsilipounidaki, Katerina</au><au>Florou, Zoe</au><au>Lianou, Daphne T</au><au>Michael, Charalambia K</au><au>Katsarou, Eleni I</au><au>Skoulakis, Anargyros</au><au>Fthenakis, George C</au><au>Petinaki, Efthymia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology</atitle><jtitle>Microorganisms (Basel)</jtitle><addtitle>Microorganisms</addtitle><date>2022-03-25</date><risdate>2022</risdate><volume>10</volume><issue>4</issue><spage>714</spage><pages>714-</pages><issn>2076-2607</issn><eissn>2076-2607</eissn><abstract>The objectives of this study were (a) to detect gastrointestinal pathogens in faecal samples of sheep and goats using the FilmArray
GI Panel and (b) to evaluate factors that were associated with their presence. Faecal samples from ewes or does in 70 sheep flocks and 24 goat herds in Greece were tested for the presence of 22 gastrointestinal pathogens by means of the BioFire
FilmArray
Gastrointestinal (GI) Panel. The most frequently detected pathogens were Shiga-like toxin-producing
stx1/stx2 (94.7% of farms),
(59.6%), and
spp. (50.0% of farms). Other pathogens detected were
spp.,
spp., enterotoxigenic
lt/st,
,
O157, Rotavirus A,
/enteroinvasive
and
. There was a difference in the prevalence of detection of pathogens between sheep and goat farms only for
spp.: 18.3% versus 0.0%, respectively. Mixed infections were detected in 76 farms (80.9% of farms), specifically 57 sheep flocks and 19 goat herds, with on average, 2.5 ± 0.1 pathogens detected per farm. The body condition score of ewes in farms, in which only one pathogen was detected in faecal samples, was significantly higher than that of ewes in farms, in which at least two pathogens were detected: 2.55 ± 0.11 versus 2.31 ± 0.04. In sheep flocks, the number of pathogens in faecal samples was significantly higher in farms with semi-extensive management. In goat herds, the number of pathogens in faecal samples was positively correlated with average precipitation and inversely correlated with temperature range in the respective locations.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35456765</pmid><doi>10.3390/microorganisms10040714</doi><orcidid>https://orcid.org/0000-0002-2819-2089</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2076-2607 |
ispartof | Microorganisms (Basel), 2022-03, Vol.10 (4), p.714 |
issn | 2076-2607 2076-2607 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_f5b16ed4d74d4d26b04844caadd57899 |
source | Publicly Available Content Database; PubMed Central |
subjects | Agriculture Animals Bacteria Campylobacter Cryptosporidium diarrhoea E coli Escherichia coli Farms Feces FilmArray Giardia Goats Infections Laboratories Livestock farming Pathogens Rotavirus Salmonella Sheep Shiga-like toxin Toxins Variance analysis Viruses Zoonoses |
title | Detection of Zoonotic Gastrointestinal Pathogens in Dairy Sheep and Goats by Using FilmArray ® Multiplex-PCR Technology |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T00%3A02%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detection%20of%20Zoonotic%20Gastrointestinal%20Pathogens%20in%20Dairy%20Sheep%20and%20Goats%20by%20Using%20FilmArray%20%C2%AE%20Multiplex-PCR%20Technology&rft.jtitle=Microorganisms%20(Basel)&rft.au=Tsilipounidaki,%20Katerina&rft.date=2022-03-25&rft.volume=10&rft.issue=4&rft.spage=714&rft.pages=714-&rft.issn=2076-2607&rft.eissn=2076-2607&rft_id=info:doi/10.3390/microorganisms10040714&rft_dat=%3Cproquest_doaj_%3E2653005079%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3534-c1e29022e581f26fa3dd259283adfdaf514791d8e656cbe49edc35e348f0a6f53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2653005079&rft_id=info:pmid/35456765&rfr_iscdi=true |