A multiplex PCR protocol for rapid differential identification of four families of trematodes with medical and veterinary importance transmitted by Biomphalaria Preston, 1910 snails.

Abstract

Trematodes have complex life cycles with multiple hosts. Biomphalaria snails commonly act as the first intermediate hosts of several species that can affect human and animal health. The specific identification of larval trematodes found in snails is difficult and limited, since the taxonomy of these flukes is based on morphological traits of the adults found in vertebrates. Despite recent advances worldwide, studies aiming at the use of molecular tools for the identification of cercariae found in snails are scarce in the South America. In fact, most studies are focused on Schistosoma mansoni, with few efforts directed towards the identification of larvae of other parasites found in planorbids. When reported, these other parasites are identified as cercarial types, an artificial morphological system of classification. Therefore, alternative strategies for a correct, rapid and inexpensive identification of larval trematodes found in Biomphalaria are needed. This work aimed at developing a methodology capable of distinguishing four important families of trematodes (Clinostomidae, Echinostomatidae, Schistosomatidae and Strigeidae) commonly found infecting species of Biomphalaria. Using the rDNA sequences of 34 species as input for the online tool TipMT, we designed trematode family-specific primers targeting the ITS region optimized to be used in multiplex PCR. The panel of primers identified in this study was effective at the same PCR condition. The specificity of the primers was confirmed, and the PCR sensitivity ranged from 0.1 ng to 1 ag of the DNA of the parasite. This methodology was also effective for the detection of coinfection. Through a simple, fast, accurate, and inexpensive methodology, it is possible to properly identify the trematode families included in this study in a single PCR reaction. A family level identification provides important information about probable hosts, pattern of life cycle and possible impacts that the infection generates in a specific region, thus allowing the design of better control strategies, especially for those infections that have medical and veterinary importance.