The bioassessment of aquatic ecosystems is currently based on various biotic indices that use the occurrence and/or abundance of selected taxonomic groups to define ecological status. These conventional indices have some limitations, often related to difficulties in morphological identification of bioindicator taxa. Recent development of DNA barcoding and metabarcoding could potentially alleviate some of these limitations, by using DNA sequences instead of morphology to identify organisms and to characterize a given ecosystem. In this paper, we review the structure of conventional biotic indices, and we present the results of pilot metabarcoding studies using environmental DNA to infer biotic indices. We discuss the main advantages and pitfalls of metabarcoding approaches to assess parameters such as richness, abundance, taxonomic composition and species ecological values, to be used for calculation of biotic indices. We present some future developments to fully exploit the potential of metabarcoding data and improve the accuracy and precision of their analysis. We also propose some recommendations for the future integration of DNA metabarcoding to routine biomonitoring programs.

Bioindication has become an indispensable part of water quality monitoring in most countries of the world, with the presence and abundance of bioindicator taxa, mostly multicellular eukaryotes, used for biotic indices. In contrast, microbes (bacteria, archaea and protists) are seldom used as bioindicators in routine assessments, although they have been recognized for their importance in environmental processes. Recently, the use of molecular methods has revealed unexpected diversity within known functional groups and novel metabolic pathways that are particularly important in energy and nutrient cycling. In various habitats, microbial communities respond to eutrophication, metals, and natural or anthropogenic organic pollutants through changes in diversity and function. In this review, we evaluated the common trends in these changes, documenting that they have value as bioindicators and can be used not only for monitoring but also for improving our understanding of the major processes in lotic and lentic environments. Current knowledge provides a solid foundation for exploiting microbial taxa, community structures and diversity, as well as functional genes, in novel monitoring programs. These microbial community measures can also be combined into biotic indices, improving the resolution of individual bioindicators. Here, we assess particular molecular approaches complemented by advanced bioinformatic analysis, as these are the most promising with respect to detailed bioindication value. We conclude that microbial community dynamics are a missing link important for our understanding of rapid changes in the structure and function of aquatic ecosystems, and should be addressed in the future environmental monitoring of freshwater ecosystems.

Seven methods of soil DNA extraction and purification were tested in a set of 14 soils differing in bedrock, texture, pH, salinity, moisture, organic matter content, and vegetation cover. The methods introduced in this study included pretreatment of soil with CaCO ₃ or purification of extracted DNA by CaCl ₂ . The performance of innovated methods was compared to that of the commercial kit Mo Bio PowerSoil and the phenol-chloroform-based method of D. N. Miller, J. E. Bryant, E. L. Madsen, and W. C. Ghiorse (Appl. Environ. Microbiol. 65:4715-4724, 1999). This study demonstrated significant differences between the tested methods in terms of DNA yield, PCR performance, and recovered bacterial diversity. The differences in DNA yields were correlated to vegetation cover, soil pH, and clay content. The differences in PCR performances were correlated to vegetation cover and soil pH. The innovative methods improved PCR performance in our set of soils, in particular for forest acidic soils. PCR was successful in 95% of cases by the method using CaCl ₂ purification and in 93% of cases by the method based on CaCO ₃ pretreatment, but only in 79% by Mo Bio PowerSoil, for our range of soils. Also, the innovative methods recovered a higher percentage of actinomycete diversity from a subset of three soils. Recommendations include the assessment of soil characteristics prior to selecting the optimal protocol for soil DNA extraction and purification.

Members of the A ctinobacteria are among the most important litter decomposers in soil. The site of a waterlogged deciduous forest with acidic soil wa