Accurate identification of mosquito species is essential for the development and optimization of strategies to control mosquitoes and mosquito-borne diseases. Problems with the morphological identification of mosquito species have led to the use of molecular identification techniques, in particular the Folmer cytochrome c oxidase subunit I (COI) PCR system (FCOS), originally designed to identify a range of other invertebrates. As there can be difficulties identifying mosquitoes using FCOS, we re-evaluated the FCOS primers and developed a new COI-based SYBR PCR (the Auburn COI system—AUCOS) to improve the molecular identification of mosquitoes. Sequence data in GenBank for 33 species from 10 genera of mosquitoes were used to develop our AUCOS primers. Two molecular assays (AUCOS, FCOS) and morphological identification were carried out on mosquitoes collected from the field in Auburn, Alabama (USA) and on Saint Kitts. With a convenience sample of individual mosquitoes comprising 19
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Multiplex polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism (RFLP) for nuclear phosphoenolpyruvate carboxykinase (pepck) and polymerase delta (pold), respectively, have been used to differentiate Fasciola hepatica, F. gigantica, and hybrid Fasciola flukes. However, discrimination errors have been reported in both methods. This study aimed to develop a multiplex PCR based on a novel nuclear marker, the fatty acid binding protein type I (FABP) type I gene. Nucleotide sequence variations of FABP type I were analyzed using DNA samples of F. hepatica, F. gigantica, and hybrid Fasciola flukes obtained from 11 countries in Europe, Latin America, Africa, and Asia. A common forward primer for F. hepatica and F. gigantica and two specific reverse primers for F. hepatica and F. gigantica were designed for multiplex PCR. Specific fragments of F. hepatica (290 bp) and F. gigantica (190 bp) were successfully amplified using multiplex PCR. However, the
In this article, Roche demonstrates how their KAPA HyperPETE workflow can provide improved targeted next-generation sequencing (NGS), and thereby provide strong therapeutic prospects for cancerresearch.