Literature DB >> 27769448

Electrochemical RNA genosensors for toxic algal species: enhancing selectivity and sensitivity.

Jahir Orozco1, Elisa Villa2, Carmem-Lara Manes2, Linda K Medlin2, Delphine Guillebault2.   

Abstract

Harmful algal blooms (HABs) are becoming more frequent as climate changes, with tropical species moving northward. Monitoring programs detecting the presence of toxic algae before they bloom are of paramount importance to protect aquatic ecosystems, aquaculture, human health and local economies. Rapid and reliable species identification methods using molecular barcodes coupled to biosensor detection tools have received increasing attention over the past decade as an alternative to the impractical standard microscopic counting-based techniques. This work reports on a PCR amplification-free electrochemical genosensor for the enhanced selective and sensitive detection of RNA from multiple Mediterranean toxic algal species. For a sandwich hybridization (SHA), we designed longer capture and signal probes for more specific target discrimination against a single base-pair mismatch from closely related species and for reproducible signals. We optimized experimental conditions, viz., minimal probe concentration in the SHA on a screen-printed gold electrode and selected the best electrochemical mediator. Probes from 13 Mediterranean dinoflagellate species were tested under optimized conditions and the format further tested for quantification of RNA from environmental samples. We not only enhanced the selectivity and sensitivity of the state-of-the-art toxic algal genosensors but also increased the repertoire of toxic algal biosensors in the Mediterranean, towards an integral and automatic monitoring system.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Dinoflagellate; Environmental monitoring; RNA-biosensor; Sandwich hybridization; Toxic algae

Mesh:

Substances:

Year:  2016        PMID: 27769448     DOI: 10.1016/j.talanta.2016.08.073

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


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