Genetic barcoding of Ecuadorian epilithic diatom species suitable as water quality bioindicators.

Abstract

Diatom identification is a key step in using these microorganisms as water quality bioindicators. Morphological diagnosis is a difficult task due to the enormous number of species and their microscopic size. This can be overcome using molecular tools to complement the diagnosis. The main goal of this work was to obtain the DNA barcode of Ecuadorian epilithic diatoms with a wide geographical distribution, a well-defined ecological range and characteristics that allow them to be reliable indicator species. Unialgal diatom cultures were obtained from environmental samples of Ecuadorian Andean streams. Morphological characterization of cultures was carried out under SEM microscopy. For molecular characterization, 18SV4 and rbcL barcodes were sequenced from each strain and blasted against a GenBank database. A phylogenetic tree for each barcode was constructed using the ML method including sequences of strains of the studied species from different geographical locations. The results showed the following five species to be suitable as bioindicators and these were isolated. Sellaphora seminulum (strain JA01b, c), Nitzschia fonticola (strain SP02a) and N. palea (strain CA01a) are tolerant to eutrophication; Eolimna minima (strain CH02a) is a mesotrophic water bioindicator, and Achnanthidium minutissimum (strain JA01a) is an oligotrophic water bioindicator. The comparison with the GenBank database of the barcoding regions supported the morphological identification. The barcoding sequences of the strains showed a high percentage of identity with the sequences reported in INSDC databases for the same species. The topology of the phylogenetic trees demonstrates that epilithic diatoms from Ecuador are closely related to those of same species isolated from other geographical regions. This study is a first attempt to establish a morphological and molecular taxonomic reference library for neotropical diatoms. This study demonstrates that it would be feasible to use the existing barcoding data for diatoms to develop molecular tools for the bioassessment of aquatic ecosystems in the Ecuadorian Andean region.