The use of lake sedimentary DNA to track the long-term changes in both terrestrial and aquatic biota is a rapidly advancing field in paleoecological research. Although largely applied nowadays, knowledge gaps remain in this field and there is therefore still research to be conducted to ensure the reliability of the sedimentary DNA signal. Building on the most recent literature and seven original case studies, we synthesize the state-of-the-art analytical procedures for effective sampling, extraction, amplification, quantification and/or generation of DNA inventories from sedimentary ancient DNA (sedaDNA) via high-throughput sequencing technologies. We provide recommendations based on current knowledge and best practises.

The emergence of DNA analyses of lake sediments has opened up many new areas of inquiry, including the study of taxa that were traditionally not considered in paleolimnology because they do not leave distinct morphological fossils. Here, we discuss the potential and challenges associated with the study of DNA in paleolimnology to address critical research questions in lacustrine ecology. We examine some recent applications by highlighting studies that have quantified centennial to millennial-scale dynamics, and that considered a diversity of planktonic groups, including bacteria, phytoplankton and zooplankton. We also summarize the main methodological precautions to be taken into account for implementing these types of DNA analyses. Based on our review of the literature focused on the analysis of DNA preserved in lake sediments, the emerging topics we have identified include: (1) the spread, establishment and effect of invasive species, (2) past fish population dynamics, (3) interactions within lacustrine communities, identified through network analyses, (4) potential application of metabarcoding for transfer functions. There are many new and exciting questions that could be addressed using DNA preserved in lake sediment and this will no doubt be an area of continued expansion in the field of paleolimnology for many years to come

High-throughput sequencing of sedimentary DNA (sed-DNA) was utilized to reconstruct the temporal dynamics of microbial eukaryotic communities (MECs) at a centennial scale in two re-oligotrophicated lakes that were exposed to different levels of phosphorus enrichment. The temporal changes within the MECs were expressed in terms of richness, composition and community structure to investigate their relationships with two key forcing factors (i.e., nutrient enrichment and climate warming). Various groups, including Apicomplexa, Cercozoa, Chrysophyceae, Ciliophora, Chlorophyceae and Dinophyceae, responded to phosphorus enrichment levels with either positive or negative impacts on their richness and relative abundance. For both lakes, statistical modelling demonstrated that phosphorus concentration ([P]) was a dominant contributor to MECs modifications before the 1980s; after the mid-80s, the contribution of air temperature changes increased and potentially surpassed the contribution of [P]. Co-occurrence network analysis revealed that some clusters of taxa (i.e., modules) composed mainly of Dinophyceae and unclassified Alveolata were strongly correlated to air temperature in both lakes. Overall, our data showed that sed-DNA constitutes a precious archive of information on past biodiversity changes, allowing the study of the dynamics of numerous eukaryotic groups that were not traditionally considered in paleo-reconstructions.

Assessing the extent to which changes in lacustrine biodiversity are affected by anthropogenic or climatic forces requires extensive palaeolimnological data. We used high-throughput sequencing to generate time-series data encompassing over 2200 years of microbial eukaryotes (protists and Fungi) diversity changes from the sedimentary DNA record of two lakes (Lake Bourget in French Alps and Lake Igaliku in Greenland). From 176 samples, we sequenced a large diversity of microbial eukaryotes, with a total 16 386 operational taxonomic units distributed within 50 phylogenetic groups. Thus, microbial groups, such as Chlorophyta, Dinophyceae, Haptophyceae and Ciliophora, that were not previously considered in lacustrine sediment record analyses appeared to be potential biological markers of trophic status changes. Our data suggest that shifts in relative abundance of extant species, including shifts between rare and abundant taxa, drive ecosystem responses to local and global environmental changes. Community structure shift events were concomitant with major climate variations (more particularly in Lake Igaliku). However, this study shows that the impacts of climatic fluctuations may be overpassed by the high-magnitude eutrophication impacts, as observed in the eutrophicated Lake Bourget. Overall, our data show that DNA preserved in sediment constitutes a precious archive of information on past biodiversity changes.

Studies based on the coupling of a paleolimnological approach and molecular tools (e.g., sequencing of sedimentary DNA) present a promising opportunity to obtain long-term data on past lacustrine biodiversity. However, certain validations are still required, such as the evaluation of DNA preservation in sediments for various planktonic taxa that do not leave any morphological diagnostic features. In this study, we focused on the diversity of planktonic unicellular eukaryotes and verified the presence of their DNA in sediment archives. We compared the molecular inventories (high-throughput sequencing of 18S ribosomal DNA) obtained from monitoring the water column with those obtained for DNA archived in the first 30 cm of sediment. Seventy-one percent of taxonomic units found in the water samples were detected in sediment samples, including pigmented taxa, such as Chlorophyta, Dinophyceae, and Chrysophyceae, phagotrophic taxa, such as Ciliophora, parasitic taxa, such as Apicomplexa and Chytridiomycota, and saprotrophs, such as Cryptomycota. Parallel analysis of 18S ribosomal RNA (rRNA) transcripts revealed the presence of living eukaryotic taxa only in the top 2 cm of sediment; although some limits exist in using RNA/DNA ratio as indicator of microbial activity, these results suggested that the sedimentary DNA mostly represented DNA from past and inactive communities. Only the diversity of a few groups, such as Cryptophyta and Haptophyta, seemed to be poorly preserved in sediments. Our overall results showed that the application of sequencing techniques to sedimentary DNA could be used to reconstruct past diversity for numerous planktonic eukaryotic groups.

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Methylmercury (MeHg), a neurotoxic compound biomagnifying in aquatic food webs, can be a threat to human health via fish consumption. However, the composition and distribution of the microbial communities mediating the methylation of mercury (Hg) to MeHg in marine systems remain largely unknown. In order to fill this knowledge gap, we used the Baltic Sea Reference Metagenome (BARM) dataset to study the abundance and distribution of the genes involved in Hg methylation (the hgcAB gene cluster). We determined the relative abundance of the hgcAB genes and their taxonomic identity in 81 brackish metagenomes that cover spatial, seasonal and redox variability in the Baltic Sea water column. The hgcAB genes were predominantly detected in anoxic water, but some hgcAB genes were also detected in hypoxic and normoxic waters. Phylogenetic analysis identified putative Hg methylators within Deltaproteobacteria, in oxygen-deficient water layers, but also Spirochaetes-like and Kiritimatiellaeota-like bacteria. Higher relative quantities of hgcAB genes were found in metagenomes from marine particles compared to free-living communities in anoxic water, suggesting that such particles are hotspot habitats for Hg methylators in oxygen-depleted seawater. Altogether, our work unveils the diversity of the microorganisms with the potential to mediate MeHg production in the Baltic Sea and pinpoint the important ecological niches for these microorganisms within the marine water column.

The quantification of the abundance of aquatic organisms via the use of environmental DNA (eDNA) molecules present in water is potentially a useful tool for efficient and noninvasive population monitoring. However, questions remain about the reliability of molecular methods. Among the factors that can hamper the reliability of the eDNA quantification, we investigated the influence of five filtration methods (filter pore size, filter type) and filtered water volume (1 and 2 L) on the total eDNA and the fish eDNA concentrations of two species, brown trout (Salmo trutta) and Arctic char (Salvelinus alpinus) from tanks with known number of individuals and biomass. We applied a droplet digital PCR (ddPCR) approach to DNA extracted from water samples collected from two cultivation tanks (each of them containing one of the targeted species). Results showed that the quantification of fish eDNA concentrations of both species varies with filtration methods. More specifically, the 0.45‐µm Sterivex enclosed filters were identified to recover the highest eDNA concentrations. Difficulties to filter 2 L water samples were present for small pore size filters (≤0.45 µm) and likely caused by filter clogging. To overcome issues related to filter clogging, common in studies aiming to quantify fish eDNA molecules from water samples, we recommend a procedure involving filtration of multiple 1 L water samples with 0.45‐µm enclosed filters, to recover both high quality and high concentrations of eDNA from targeted species, and subsequent processing of independent DNA extracts with the ddPCR method.