A Next-Generation Sequencing Approach to River Biomonitoring Using Benthic Diatoms

By Lenaïg Kermarrec, Alain Franc, Frédéric Rimet, Philippe Chaumeil, J. Frigerio, J. Humbert, Agnès Bouchez. Freshwater Science, 2014

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Avoiding quantification bias in metabarcoding: Application of a cell biovolume correction factor in diatom molecular biomonitoring (2017, background): “…studies have already revealed the potential application of diatom metabarcoding in freshwater quality assessment (Apothéloz- Perret- Gentil et al., 2017; Kermarrec et al., 2014; Vasselon, Domaizon, Rimet, Kahlert, & Bouchez, 2017; Vasselon, Rimet, Tapolczai, & Bouchez, 2017; Visco et al., 2015).”
Freshwater biomonitoring in the Information Age (2017, methodology): “We illustrate our point with examples taken from freshwater monitoring, where metabarcoding is developing rapidly (Hajibabaei et al. 2011; Kermarrec et al. 2014).”
Metabarcoding of lake benthic diatoms: from structure assemblages to ecological assessment (2018, background): “The persistence of diatom frustules from dead cells as a source of divergence between morphological and molecular inventories has also been observed by Kermarrec et al. (2014) while studying river samples.”
Trait-based ecological classifications for benthic algae: review and perspectives (2016, background): “Accurate species-level identification is not always insured since it requires high-level experts in diatom identification to follow the continuously changing taxonomy, and it is time consuming (Berthon et al., 2011; Kermarrec et al., 2014).”