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Effect of the Matrix and Target on the Accurate Quantification of Genomic and Plasmid DNA by Digital Polymerase Chain Reaction
In polymerase chain reaction (PCR)-based nucleic acid quantification, the DNA template type, primer/probe sequence, and instrument platform such as real-time quantitative PCR (qPCR) and digital PCR (dPCR) affect the accuracy and reliability of quantitative results. In this study, a plasmid DNA (pDNA...
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Published in: | Agriculture (Basel) 2023-01, Vol.13 (1), p.127 |
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description | In polymerase chain reaction (PCR)-based nucleic acid quantification, the DNA template type, primer/probe sequence, and instrument platform such as real-time quantitative PCR (qPCR) and digital PCR (dPCR) affect the accuracy and reliability of quantitative results. In this study, a plasmid DNA (pDNA) pBI121-screening, genetically modified (GM) rice SDrice genomic DNA (gDNA), and GM rapeseed SDrape gDNA, all carrying the same 11 screening elements, were used to prepare samples of different levels of gDNA and pDNA in a non-GM gDNA background. The comparison of the dPCR assays targeting the 11 screening elements revealed that the primer/probe set is a key factor that affects the accuracy of dPCR quantification. The optimal PCR method for the 11 screening elements was screened out from among the validated qPCR methods. The accuracy of the qPCR quantification of the low-level pDNA and gDNA test samples was low when pDNA was used as a calibrator, whereas that of the dPCR quantification was high and not affected by variations in template type and detection target. The validated dPCR assays targeting one or two elements can be randomly selected to characterize multiple-target pDNA reference materials (RMs). Low-level pDNA RMs with certified values can be used as quality controls for dPCR assays to avoid significant bias in gDNA quantification. |
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In this study, a plasmid DNA (pDNA) pBI121-screening, genetically modified (GM) rice SDrice genomic DNA (gDNA), and GM rapeseed SDrape gDNA, all carrying the same 11 screening elements, were used to prepare samples of different levels of gDNA and pDNA in a non-GM gDNA background. The comparison of the dPCR assays targeting the 11 screening elements revealed that the primer/probe set is a key factor that affects the accuracy of dPCR quantification. The optimal PCR method for the 11 screening elements was screened out from among the validated qPCR methods. The accuracy of the qPCR quantification of the low-level pDNA and gDNA test samples was low when pDNA was used as a calibrator, whereas that of the dPCR quantification was high and not affected by variations in template type and detection target. The validated dPCR assays targeting one or two elements can be randomly selected to characterize multiple-target pDNA reference materials (RMs). Low-level pDNA RMs with certified values can be used as quality controls for dPCR assays to avoid significant bias in gDNA quantification.</description><identifier>ISSN: 2077-0472</identifier><identifier>EISSN: 2077-0472</identifier><identifier>DOI: 10.3390/agriculture13010127</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Assaying ; Calibration ; Deoxyribonucleic acid ; digital PCR ; DNA ; Genes ; Genetic modification ; Genetically modified organisms ; genomic DNA ; Genomics ; Nucleic acids ; Nucleotide sequence ; plasmid DNA ; Plasmids ; Polymerase chain reaction ; Quality control ; quantification ; Rapeseed ; real-time quantitative PCR ; Screening ; Target detection</subject><ispartof>Agriculture (Basel), 2023-01, Vol.13 (1), p.127</ispartof><rights>2023 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-efd0ff45c539c4bb245eb39ed78504c120bf847d95c132512386f1928db887313</citedby><cites>FETCH-LOGICAL-c388t-efd0ff45c539c4bb245eb39ed78504c120bf847d95c132512386f1928db887313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2767177660/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2767177660?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589,74997</link.rule.ids></links><search><creatorcontrib>Si, Nengwu</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Gao, Hongfei</creatorcontrib><creatorcontrib>Li, Yunjing</creatorcontrib><creatorcontrib>Zhai, Shanshan</creatorcontrib><creatorcontrib>Xiao, Fang</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Wu, Gang</creatorcontrib><creatorcontrib>Wu, Yuhua</creatorcontrib><title>Effect of the Matrix and Target on the Accurate Quantification of Genomic and Plasmid DNA by Digital Polymerase Chain Reaction</title><title>Agriculture (Basel)</title><description>In polymerase chain reaction (PCR)-based nucleic acid quantification, the DNA template type, primer/probe sequence, and instrument platform such as real-time quantitative PCR (qPCR) and digital PCR (dPCR) affect the accuracy and reliability of quantitative results. In this study, a plasmid DNA (pDNA) pBI121-screening, genetically modified (GM) rice SDrice genomic DNA (gDNA), and GM rapeseed SDrape gDNA, all carrying the same 11 screening elements, were used to prepare samples of different levels of gDNA and pDNA in a non-GM gDNA background. The comparison of the dPCR assays targeting the 11 screening elements revealed that the primer/probe set is a key factor that affects the accuracy of dPCR quantification. The optimal PCR method for the 11 screening elements was screened out from among the validated qPCR methods. The accuracy of the qPCR quantification of the low-level pDNA and gDNA test samples was low when pDNA was used as a calibrator, whereas that of the dPCR quantification was high and not affected by variations in template type and detection target. The validated dPCR assays targeting one or two elements can be randomly selected to characterize multiple-target pDNA reference materials (RMs). Low-level pDNA RMs with certified values can be used as quality controls for dPCR assays to avoid significant bias in gDNA quantification.</description><subject>Assaying</subject><subject>Calibration</subject><subject>Deoxyribonucleic acid</subject><subject>digital PCR</subject><subject>DNA</subject><subject>Genes</subject><subject>Genetic modification</subject><subject>Genetically modified organisms</subject><subject>genomic DNA</subject><subject>Genomics</subject><subject>Nucleic acids</subject><subject>Nucleotide sequence</subject><subject>plasmid DNA</subject><subject>Plasmids</subject><subject>Polymerase chain reaction</subject><subject>Quality control</subject><subject>quantification</subject><subject>Rapeseed</subject><subject>real-time quantitative PCR</subject><subject>Screening</subject><subject>Target detection</subject><issn>2077-0472</issn><issn>2077-0472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUUtLxDAQLqKgqL_AS8Dzah5tkxyX9Qm-0XOYJpM1S7fRNAX34m-37op4cC4zzPeYga8ojhg9EULTU5inYIc2DwmZoIwyLreKPU6lnNBS8u0_825x2PcLOpZmQtF6r_g89x5tJtGT_IrkFnIKHwQ6R54hzXEEujUwtXZIkJE8DtDl4IOFHEZs1F1iF5fBrkUPLfTL4MjZ3ZQ0K3IW5iFDSx5iu1pigh7J7BVCR54Q7Lf-oNjx0PZ4-NP3i5eL8-fZ1eTm_vJ6Nr2ZWKFUnqB31PuyspXQtmwaXlbYCI1OqoqWlnHaeFVKpyvLBK8YF6r2THPlGqWkYGK_uN74uggL85bCEtLKRAhmvYhpbiDlYFs0yHmjHSgLVJdUOlVDrblmSkpJUejR63jj9Zbi-4B9Nos4pG5833BZSyZlXdORJTYsm2LfJ_S_Vxk137mZf3ITX7LfjQU</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Si, Nengwu</creator><creator>Li, Jun</creator><creator>Gao, Hongfei</creator><creator>Li, Yunjing</creator><creator>Zhai, Shanshan</creator><creator>Xiao, Fang</creator><creator>Zhang, Li</creator><creator>Wu, Gang</creator><creator>Wu, Yuhua</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20230101</creationdate><title>Effect of the Matrix and Target on the Accurate Quantification of Genomic and Plasmid DNA by Digital Polymerase Chain Reaction</title><author>Si, Nengwu ; Li, Jun ; Gao, Hongfei ; Li, Yunjing ; Zhai, Shanshan ; Xiao, Fang ; Zhang, Li ; Wu, Gang ; Wu, Yuhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-efd0ff45c539c4bb245eb39ed78504c120bf847d95c132512386f1928db887313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Assaying</topic><topic>Calibration</topic><topic>Deoxyribonucleic acid</topic><topic>digital PCR</topic><topic>DNA</topic><topic>Genes</topic><topic>Genetic modification</topic><topic>Genetically modified organisms</topic><topic>genomic DNA</topic><topic>Genomics</topic><topic>Nucleic acids</topic><topic>Nucleotide sequence</topic><topic>plasmid DNA</topic><topic>Plasmids</topic><topic>Polymerase chain reaction</topic><topic>Quality control</topic><topic>quantification</topic><topic>Rapeseed</topic><topic>real-time quantitative PCR</topic><topic>Screening</topic><topic>Target detection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Si, Nengwu</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Gao, Hongfei</creatorcontrib><creatorcontrib>Li, Yunjing</creatorcontrib><creatorcontrib>Zhai, Shanshan</creatorcontrib><creatorcontrib>Xiao, Fang</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Wu, Gang</creatorcontrib><creatorcontrib>Wu, Yuhua</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest 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>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Agriculture (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Si, Nengwu</au><au>Li, Jun</au><au>Gao, Hongfei</au><au>Li, Yunjing</au><au>Zhai, Shanshan</au><au>Xiao, Fang</au><au>Zhang, Li</au><au>Wu, Gang</au><au>Wu, Yuhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of the Matrix and Target on the Accurate Quantification of Genomic and Plasmid DNA by Digital Polymerase Chain Reaction</atitle><jtitle>Agriculture (Basel)</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>13</volume><issue>1</issue><spage>127</spage><pages>127-</pages><issn>2077-0472</issn><eissn>2077-0472</eissn><abstract>In polymerase chain reaction (PCR)-based nucleic acid quantification, the DNA template type, primer/probe sequence, and instrument platform such as real-time quantitative PCR (qPCR) and digital PCR (dPCR) affect the accuracy and reliability of quantitative results. In this study, a plasmid DNA (pDNA) pBI121-screening, genetically modified (GM) rice SDrice genomic DNA (gDNA), and GM rapeseed SDrape gDNA, all carrying the same 11 screening elements, were used to prepare samples of different levels of gDNA and pDNA in a non-GM gDNA background. The comparison of the dPCR assays targeting the 11 screening elements revealed that the primer/probe set is a key factor that affects the accuracy of dPCR quantification. The optimal PCR method for the 11 screening elements was screened out from among the validated qPCR methods. The accuracy of the qPCR quantification of the low-level pDNA and gDNA test samples was low when pDNA was used as a calibrator, whereas that of the dPCR quantification was high and not affected by variations in template type and detection target. The validated dPCR assays targeting one or two elements can be randomly selected to characterize multiple-target pDNA reference materials (RMs). Low-level pDNA RMs with certified values can be used as quality controls for dPCR assays to avoid significant bias in gDNA quantification.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/agriculture13010127</doi><oa>free_for_read</oa></addata></record> |
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subjects | Assaying Calibration Deoxyribonucleic acid digital PCR DNA Genes Genetic modification Genetically modified organisms genomic DNA Genomics Nucleic acids Nucleotide sequence plasmid DNA Plasmids Polymerase chain reaction Quality control quantification Rapeseed real-time quantitative PCR Screening Target detection |
title | Effect of the Matrix and Target on the Accurate Quantification of Genomic and Plasmid DNA by Digital Polymerase Chain Reaction |
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