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Naslov:Fast and accurate multiplex identification and quantification of seven genetically modified soybean lines using six-color digital PCR
Avtorji:ID Bogožalec Košir, Alexandra (Avtor)
ID Muller, Sabine (Avtor)
ID Žel, Jana (Avtor)
ID Milavec, Mojca (Avtor)
ID Mallory, Allison C. (Avtor)
ID Dobnik, David (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://doi.org/10.3390/foods12224156
 
.pdf PDF - Predstavitvena datoteka, prenos (1,83 MB)
MD5: 330DC3B84B961FAC517B5F92875FD051
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo NIB - Nacionalni inštitut za biologijo
Povzetek:The proliferation of genetically modified organisms (GMOs) presents challenges to GMO testing laboratories and policymakers. Traditional methods, like quantitative real-time PCR (qPCR), face limitations in quantifying the increasing number of GMOs in a single sample. Digital PCR (dPCR), specifically multiplexing, offers a solution by enabling simultaneous quantification of multiple GMO targets. This study explores the use of the Naica six-color Crystal dPCR platform for quantifying five GM soybean lines within a single six-plex assay. Two four-color assays were also developed for added flexibility. These assays demonstrated high specificity, sensitivity (limit of detection or LOD < 25 copies per reaction) and precision (bias to an estimated copy number concentration <15%). Additionally, two approaches for the optimization of data analysis were implemented. By applying a limit-of-blank (LOB) correction, the limit of quantification (LOQ) and LOD could be more precisely determined. Pooling of reactions additionally lowered the LOD, with a two- to eight-fold increase in sensitivity. Real-life samples from routine testing were used to confirm the assays’ applicability for quantifying GM soybean lines in complex samples. This study showcases the potential of the six-color Crystal dPCR platform to revolutionize GMO testing, facilitating comprehensive analysis of GMOs in complex samples.
Ključne besede:digital PCR, dPCR, quantification, multiplexing, genetically modified organisms, 6-color system, virus diagnostics, virology
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:01.11.2023
Leto izida:2023
Št. strani:str. [1]-17
Številčenje:iss. 22, art. no. ǂ4156
PID:20.500.12556/DiRROS-18583 Novo okno
UDK:578
ISSN pri članku:2304-8158
DOI:10.3390/foods12224156 Novo okno
COBISS.SI-ID:173360131 Novo okno
Opomba:Soavtorji: Sabine Muller, Jana Žel, Mojca Milavec, Allison C. Mallory and David Dobnik; Nasl. z nasl. zaslona; Opis vira z dne 23. 11. 2023;
Datum objave v DiRROS:29.03.2024
Število ogledov:821
Število prenosov:329
Metapodatki:XML DC-XML DC-RDF
:
BOGOŽALEC KOŠIR, Alexandra, MULLER, Sabine, ŽEL, Jana, MILAVEC, Mojca, MALLORY, Allison C. in DOBNIK, David, 2023, Fast and accurate multiplex identification and quantification of seven genetically modified soybean lines using six-color digital PCR. Foods [na spletu]. 2023. Vol. 22, no. 4156, p. 1–17. [Dostopano 12 april 2025]. DOI 10.3390/foods12224156. Pridobljeno s: https://dirros.openscience.si/IzpisGradiva.php?lang=slv&id=18583
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Gradivo je del revije

Naslov:Foods
Skrajšan naslov:Foods
Založnik:MDPI
ISSN:2304-8158
COBISS.SI-ID:512252472 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P4-0165-2022
Naslov:Biotehnologija in sistemska biologija rastlin
Financer:Drugi - Drug financer ali več financerjev
Program financ.:European Union, European Regional Development Fund

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:digitalna PCR, digitalna verižna reakcija s polimerazo, kvantifikacija, multipleksiranje, gensko spremenjeni organizmi, 6-barvni sistem, diagnostika virusov, virologija


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