2018
DOI: 10.1016/j.fishres.2017.09.014
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COI barcode-HRM as a novel approach for the discrimination of hake species

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Cited by 30 publications
(26 citation statements)
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“…All tissue samples from outside of the United States (e.g., Trinidad and Tobago, St. Lucia, Brazil) were initially preserved in ethanol, but were shipped wrapped in ethanol-soaked paper towels at 10 • C-25 • C, which may have compromised tissue preservation during shipping to our lab in Baltimore (United States), reducing the quality of extracted DNA. A number of other studies using HRM analysis for individual SNP genotyping have noted that DNA quality can greatly impact the quality and reliability of HRM genotyping (e.g., Garritano et al, 2009, but see Fitzcharles, 2012;Fernandes et al, 2018). It is possible that variation in the initial quality of DNA extractions may have increased the intra-species variation in melt profiles, reducing discriminatory power of the LDA models.…”
Section: Hrm-based Identification Of Callinectes Speciesmentioning
confidence: 99%
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“…All tissue samples from outside of the United States (e.g., Trinidad and Tobago, St. Lucia, Brazil) were initially preserved in ethanol, but were shipped wrapped in ethanol-soaked paper towels at 10 • C-25 • C, which may have compromised tissue preservation during shipping to our lab in Baltimore (United States), reducing the quality of extracted DNA. A number of other studies using HRM analysis for individual SNP genotyping have noted that DNA quality can greatly impact the quality and reliability of HRM genotyping (e.g., Garritano et al, 2009, but see Fitzcharles, 2012;Fernandes et al, 2018). It is possible that variation in the initial quality of DNA extractions may have increased the intra-species variation in melt profiles, reducing discriminatory power of the LDA models.…”
Section: Hrm-based Identification Of Callinectes Speciesmentioning
confidence: 99%
“…Combining the power of HRM with clustering statistics or supervised machine learning approaches allows further discrimination of highly similar sequences in a probabilistic framework (Reja et al, 2010;Winder et al, 2011;Bowman et al, 2017). HRM is beginning to be used for identification of marine species in the seafood industry (Fitzcharles, 2012;Jin et al, 2015;Fernandes et al, 2018;Verrez-Bagnis et al, 2018). Blue crab researchers, as well as the fisheries industry, could benefit from a rapid and cost-effective method for reliable identification of species within the Callinectes genus.…”
Section: Introductionmentioning
confidence: 99%
“…By comparing the melting curves of unknown samples, i.e. the change in intensity of the fluorescence signal with increasing temperature, with profiles of reliably identified samples, they can be assigned to known species [ 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, in many circumstances, recovering sequences is not possible because only degraded DNA is available (Boyer et al 2012), which is the major problem of specimens older than a decade (Hajibabaei et al 2006). The High-Resolution Melting (HRM) analysis is an alternative method to sequencing to overcome this problem (Fernandes et al 2017;Osathanunkul et al 2018). This is a RT-PCR-based and non-contaminated post-PCR technique that allows analyzing genetic variation in small PCR amplicons (usually 80-120 bp) by detecting small differences in the melting temperatures of the sequences through the melting curves (Wittwer 2009;Wittwer et al 2003).…”
Section: Introductionmentioning
confidence: 99%