2017
DOI: 10.1002/ps.4766
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Using SDS–PAGE gel fingerprinting to identify soft‐bodied wood‐boring insect larvae to species

Abstract: The experience gained in undertaking this study gives us confidence that we will be able to develop a field deployable system in the medium term. We believe that as a high-throughput identification tool, this technology is superior to competitor technologies (e.g. fingerprinting of imaged DNA gels) in terms of speed, cost and ease of use; and therefore, is suitable for low-cost deployment in the field. © 2017 Society of Chemical Industry.

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Cited by 5 publications
(4 citation statements)
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References 22 publications
(30 reference statements)
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“…SDS-PAGE gel ngerprints exhibited a distinct characteristic among three species. This was an agreement with the Mark A O'Neill et al, using SDS-PAGE gel ngerprint to identify soft-bodied wood-boring insect larvae to species [35].…”
Section: Discussionsupporting
confidence: 88%
“…SDS-PAGE gel ngerprints exhibited a distinct characteristic among three species. This was an agreement with the Mark A O'Neill et al, using SDS-PAGE gel ngerprint to identify soft-bodied wood-boring insect larvae to species [35].…”
Section: Discussionsupporting
confidence: 88%
“…Taken together, a species-specific, PCR-based method to identify BBM is an essential research tool for improving the accuracy of detecting TCM compounds in medicinal herbs [29][30][31][32]. PCR-based methods are simple, highly specific, sensitive, and accurate, thereby complementing existing Chinese herbal medicine detection methods [33][34][35]. Next, we will adopt SDS-PAGE analysis of whole-cell proteins on gel fingerprints among three species, as previously described [36].…”
Section: Discussionmentioning
confidence: 99%
“…The concentration of the Rpf protein was determined by a modied Bradford Protein Assay Kit. 27,28 Finally, the puried protein was diluted with an equal volume of glycerol and stored at À20 C for further experiments.…”
Section: Rpf Protein Overexpression Purication and Electrophoretic Analysismentioning
confidence: 99%