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Event-specific detection of transgenic potato AV43-6-G7 using real-time and digital PCR methods

Overview of attention for article published in BMC Biotechnology, October 2016
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Title
Event-specific detection of transgenic potato AV43-6-G7 using real-time and digital PCR methods
Published in
BMC Biotechnology, October 2016
DOI 10.1186/s12896-016-0303-8
Pubmed ID
Authors

Hongwei Gao, Xiaofan Yu, Tingting Deng, Min Sun, Xizhi Xiao, Xin Huang, Ying Chen, Ronggui Li

Abstract

The isolation of unknown DNA sequences flanked by known sequences is an important task in the event-specific detection of GMOs. None of event-specific detection method was developed based on the junction sequence of an exogenous integrant in the transgenic potato AV43-6-G7. The flanking sequence between the exogenous fragment and recombinant chromosome of this potato was successfully acquired through exogenous gene 5'-RACE. The event-specific primers and Taqman probe were designed to amplify fragments spanning the exogenous DNA and potato genomic DNA. The specific real-time PCR and digital PCR detection methods for AV43-6-G7 potato were established based on primers designed according to the flanking sequences. The detection limit of the qualitative PCR assay was 0.01 % for AV43-6-G7 potato in 100 ng of potato genomic DNA, corresponding to approximately 11.6 copies of the potato haploid genome. The ddPCR assays for Potato AV43-6-G7 achieved a limit of quantification of approximately 58 target copies, with RSD ≤ 25 %. The aLOQ of this system was approximately 1.2 copies. These results indicated that these event-specific methods would be useful for the identification of potato AV43-6-G7.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Postgraduate 3 14%
Student > Ph. D. Student 3 14%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 57%
Biochemistry, Genetics and Molecular Biology 4 19%
Unspecified 1 5%
Engineering 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2022.
All research outputs
#7,435,500
of 23,989,432 outputs
Outputs from BMC Biotechnology
#406
of 949 outputs
Outputs of similar age
#107,860
of 317,904 outputs
Outputs of similar age from BMC Biotechnology
#1
of 10 outputs
Altmetric has tracked 23,989,432 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them