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Investigation of respiratory disease outbreaks of poultry in Bangladesh using two real-time PCR-based simultaneous detection assays
For rapid and sensitive pathogen screening from field outbreaks, molecular techniques such as qPCR-based simultaneous detections are efficient. Respiratory diseases are the most detrimental diseases to the poultry industry and need to be addressed because of their major economic losses. In the curre...
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Published in: | Frontiers in veterinary science 2022-12, Vol.9, p.1036757-1036757 |
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description | For rapid and sensitive pathogen screening from field outbreaks, molecular techniques such as qPCR-based simultaneous detections are efficient. Respiratory diseases are the most detrimental diseases to the poultry industry and need to be addressed because of their major economic losses. In the current study, we have applied two different detection assays: one for simultaneous detection of avian influenza virus (AIV; M gene) and subtyping (H5, N1, H9, N2) using TaqMan probe chemistry (TaqMan multitarget) and another for simultaneous detection of Newcastle disease virus (NDV), infectious bronchitis virus (IBV), and infectious laryngotracheitis virus (ILTV) using SYBR Green chemistry (SYBR Green multitarget). Two individual qPCRs were conducted for the detection of four pathogens. Surveillance of tissue (
= 158) and oropharyngeal swab (206) samples from multiple poultry flocks during the years April 2020-July 2022 applying the TaqMan and SYBR Green multitarget qPCRs revealed that 48.9% of samples were positive for respiratory infections, of which 17.2% were positive for NDV, 25.5% were positive for AIV, 9.9% were positive for IBV, and only a single positive (0.3%) for ILTV. Among the AIV, 35% were highly pathogenic subtype H5N1 and 65% were low pathogenic subtype H9N2. Co-infections of 2-3 respiratory viruses were also accurately detected. Respiratory viral pathogens are quite common in Bangladeshi poultry and can be successfully detected using multitarget simultaneous real-time quantitative polymerase chain reaction (RT-qPCR) assays like those adopted in the current study. Increased mass surveillance, along with the molecular characterization of the circulating respiratory viruses, is crucial to control the epidemic and subsequently save the Bangladeshi poultry industry. |
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= 158) and oropharyngeal swab (206) samples from multiple poultry flocks during the years April 2020-July 2022 applying the TaqMan and SYBR Green multitarget qPCRs revealed that 48.9% of samples were positive for respiratory infections, of which 17.2% were positive for NDV, 25.5% were positive for AIV, 9.9% were positive for IBV, and only a single positive (0.3%) for ILTV. Among the AIV, 35% were highly pathogenic subtype H5N1 and 65% were low pathogenic subtype H9N2. Co-infections of 2-3 respiratory viruses were also accurately detected. Respiratory viral pathogens are quite common in Bangladeshi poultry and can be successfully detected using multitarget simultaneous real-time quantitative polymerase chain reaction (RT-qPCR) assays like those adopted in the current study. Increased mass surveillance, along with the molecular characterization of the circulating respiratory viruses, is crucial to control the epidemic and subsequently save the Bangladeshi poultry industry.</description><identifier>ISSN: 2297-1769</identifier><identifier>EISSN: 2297-1769</identifier><identifier>DOI: 10.3389/fvets.2022.1036757</identifier><identifier>PMID: 36583036</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>mixed infection ; outbreak investigation ; respiratory viral pathogens ; RT-qPCR assays ; simultaneous detection ; Veterinary Science</subject><ispartof>Frontiers in veterinary science, 2022-12, Vol.9, p.1036757-1036757</ispartof><rights>Copyright © 2022 Parvin, Kabiraj, Hossain, Hassan, Begum, Nooruzzaman, Islam and Chowdhury.</rights><rights>Copyright © 2022 Parvin, Kabiraj, Hossain, Hassan, Begum, Nooruzzaman, Islam and Chowdhury. 2022 Parvin, Kabiraj, Hossain, Hassan, Begum, Nooruzzaman, Islam and Chowdhury</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-4926bdf45509a66bf9c495e273946f671bc3d1fb94998dd6efb0afcc7cb8f25a3</citedby><cites>FETCH-LOGICAL-c468t-4926bdf45509a66bf9c495e273946f671bc3d1fb94998dd6efb0afcc7cb8f25a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792859/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792859/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36583036$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Parvin, Rokshana</creatorcontrib><creatorcontrib>Kabiraj, Congriev Kumar</creatorcontrib><creatorcontrib>Hossain, Ismail</creatorcontrib><creatorcontrib>Hassan, Alamgir</creatorcontrib><creatorcontrib>Begum, Jahan Ara</creatorcontrib><creatorcontrib>Nooruzzaman, Mohammed</creatorcontrib><creatorcontrib>Islam, Md Taohidul</creatorcontrib><creatorcontrib>Chowdhury, Emdadul Haque</creatorcontrib><title>Investigation of respiratory disease outbreaks of poultry in Bangladesh using two real-time PCR-based simultaneous detection assays</title><title>Frontiers in veterinary science</title><addtitle>Front Vet Sci</addtitle><description>For rapid and sensitive pathogen screening from field outbreaks, molecular techniques such as qPCR-based simultaneous detections are efficient. Respiratory diseases are the most detrimental diseases to the poultry industry and need to be addressed because of their major economic losses. In the current study, we have applied two different detection assays: one for simultaneous detection of avian influenza virus (AIV; M gene) and subtyping (H5, N1, H9, N2) using TaqMan probe chemistry (TaqMan multitarget) and another for simultaneous detection of Newcastle disease virus (NDV), infectious bronchitis virus (IBV), and infectious laryngotracheitis virus (ILTV) using SYBR Green chemistry (SYBR Green multitarget). Two individual qPCRs were conducted for the detection of four pathogens. Surveillance of tissue (
= 158) and oropharyngeal swab (206) samples from multiple poultry flocks during the years April 2020-July 2022 applying the TaqMan and SYBR Green multitarget qPCRs revealed that 48.9% of samples were positive for respiratory infections, of which 17.2% were positive for NDV, 25.5% were positive for AIV, 9.9% were positive for IBV, and only a single positive (0.3%) for ILTV. Among the AIV, 35% were highly pathogenic subtype H5N1 and 65% were low pathogenic subtype H9N2. Co-infections of 2-3 respiratory viruses were also accurately detected. Respiratory viral pathogens are quite common in Bangladeshi poultry and can be successfully detected using multitarget simultaneous real-time quantitative polymerase chain reaction (RT-qPCR) assays like those adopted in the current study. Increased mass surveillance, along with the molecular characterization of the circulating respiratory viruses, is crucial to control the epidemic and subsequently save the Bangladeshi poultry industry.</description><subject>mixed infection</subject><subject>outbreak investigation</subject><subject>respiratory viral pathogens</subject><subject>RT-qPCR assays</subject><subject>simultaneous detection</subject><subject>Veterinary Science</subject><issn>2297-1769</issn><issn>2297-1769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkktv1DAUhSMEolXpH2CBsmSTwbHj1wYJRgVGqgRCsLZu_EhdkniwnUGz5o_jeVC1K1u-93zHuvdU1esWrQgR8p3b2ZxWGGG8ahFhnPJn1SXGkjctZ_L5o_tFdZ3SPUKopR0nAr2sLgijghTVZfV3M-9syn6A7MNcB1dHm7Y-Qg5xXxufLCRbhyX30cKvdGjYhmXMpejn-iPMwwjGprt6SX4e6vwnFACMTfaTrb-tvzd90Zs6-amIYLZhSbWx2eqjHaQE-_SqeuFgTPb6fF5VPz_d_Fh_aW6_ft6sP9w2umMiN53ErDeuoxRJYKx3UneSWsyJ7JhjvO01Ma3rZSelMIZZ1yNwWnPdC4cpkKtqc-KaAPdqG_0Eca8CeHV8CHFQELPXo1UFAn2ZGCKOd0ILQbkTptgB5rrAC-v9ibVd-skabeccYXwCfVqZ_Z0awk5JLrGgsgDengEx_F7KCtTkk7bjeBqSwpxKSRnFrLTiU6uOIaVo3YNNi9QhDOoYBnUIgzqHoYjePP7gg-T_6sk_qqm13g</recordid><startdate>20221213</startdate><enddate>20221213</enddate><creator>Parvin, Rokshana</creator><creator>Kabiraj, Congriev Kumar</creator><creator>Hossain, Ismail</creator><creator>Hassan, Alamgir</creator><creator>Begum, Jahan Ara</creator><creator>Nooruzzaman, Mohammed</creator><creator>Islam, Md Taohidul</creator><creator>Chowdhury, Emdadul Haque</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20221213</creationdate><title>Investigation of respiratory disease outbreaks of poultry in Bangladesh using two real-time PCR-based simultaneous detection assays</title><author>Parvin, Rokshana ; Kabiraj, Congriev Kumar ; Hossain, Ismail ; Hassan, Alamgir ; Begum, Jahan Ara ; Nooruzzaman, Mohammed ; Islam, Md Taohidul ; Chowdhury, Emdadul Haque</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-4926bdf45509a66bf9c495e273946f671bc3d1fb94998dd6efb0afcc7cb8f25a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>mixed infection</topic><topic>outbreak investigation</topic><topic>respiratory viral pathogens</topic><topic>RT-qPCR assays</topic><topic>simultaneous detection</topic><topic>Veterinary Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Parvin, Rokshana</creatorcontrib><creatorcontrib>Kabiraj, Congriev Kumar</creatorcontrib><creatorcontrib>Hossain, Ismail</creatorcontrib><creatorcontrib>Hassan, Alamgir</creatorcontrib><creatorcontrib>Begum, Jahan Ara</creatorcontrib><creatorcontrib>Nooruzzaman, Mohammed</creatorcontrib><creatorcontrib>Islam, Md Taohidul</creatorcontrib><creatorcontrib>Chowdhury, Emdadul Haque</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in veterinary science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Parvin, Rokshana</au><au>Kabiraj, Congriev Kumar</au><au>Hossain, Ismail</au><au>Hassan, Alamgir</au><au>Begum, Jahan Ara</au><au>Nooruzzaman, Mohammed</au><au>Islam, Md Taohidul</au><au>Chowdhury, Emdadul Haque</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of respiratory disease outbreaks of poultry in Bangladesh using two real-time PCR-based simultaneous detection assays</atitle><jtitle>Frontiers in veterinary science</jtitle><addtitle>Front Vet Sci</addtitle><date>2022-12-13</date><risdate>2022</risdate><volume>9</volume><spage>1036757</spage><epage>1036757</epage><pages>1036757-1036757</pages><issn>2297-1769</issn><eissn>2297-1769</eissn><abstract>For rapid and sensitive pathogen screening from field outbreaks, molecular techniques such as qPCR-based simultaneous detections are efficient. Respiratory diseases are the most detrimental diseases to the poultry industry and need to be addressed because of their major economic losses. In the current study, we have applied two different detection assays: one for simultaneous detection of avian influenza virus (AIV; M gene) and subtyping (H5, N1, H9, N2) using TaqMan probe chemistry (TaqMan multitarget) and another for simultaneous detection of Newcastle disease virus (NDV), infectious bronchitis virus (IBV), and infectious laryngotracheitis virus (ILTV) using SYBR Green chemistry (SYBR Green multitarget). Two individual qPCRs were conducted for the detection of four pathogens. Surveillance of tissue (
= 158) and oropharyngeal swab (206) samples from multiple poultry flocks during the years April 2020-July 2022 applying the TaqMan and SYBR Green multitarget qPCRs revealed that 48.9% of samples were positive for respiratory infections, of which 17.2% were positive for NDV, 25.5% were positive for AIV, 9.9% were positive for IBV, and only a single positive (0.3%) for ILTV. Among the AIV, 35% were highly pathogenic subtype H5N1 and 65% were low pathogenic subtype H9N2. Co-infections of 2-3 respiratory viruses were also accurately detected. Respiratory viral pathogens are quite common in Bangladeshi poultry and can be successfully detected using multitarget simultaneous real-time quantitative polymerase chain reaction (RT-qPCR) assays like those adopted in the current study. Increased mass surveillance, along with the molecular characterization of the circulating respiratory viruses, is crucial to control the epidemic and subsequently save the Bangladeshi poultry industry.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>36583036</pmid><doi>10.3389/fvets.2022.1036757</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | mixed infection outbreak investigation respiratory viral pathogens RT-qPCR assays simultaneous detection Veterinary Science |
title | Investigation of respiratory disease outbreaks of poultry in Bangladesh using two real-time PCR-based simultaneous detection assays |
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