Lucie Zinger

Reconstructing long-term human impacts on plant communities : an ecological approach based on lake sediment DNA

Paleoenvironmental studies are essential to understand biodiversity changes over long timescales and to assess the relative importance of anthropogenic and environmental factors. Sedimentary ancient DNA (sedaDNA) is an emerging tool in the field of paleoecology and has proven to be a complementary approach to the use of pollen and macroremains for investigating past community changes. SedaDNA‐based reconstructions of ancient environments often rely on indicator taxa or expert knowledge, but quantitative ecological analyses might provide more objective information. Here, we analysed sedaDNA to investigate plant community trajectories in the catchment of a high‐elevation lake in the Alps over the last 6400 years. We combined data on past and present plant species assemblages along with sedimentological and geochemical records to assess the relative impact of human activities through pastoralism, and abiotic factors (temperature and soil evolution). Over the last 6400 years, we identified significant variation in plant communities, mostly related to soil evolution and pastoral activities. An abrupt vegetational change corresponding to the establishment of an agropastoral landscape was detected during the Late Holocene, approximately 4500 years ago, with the replacement of mountain forests and tall‐herb communities by heathlands and grazed lands. Our results highlight the importance of anthropogenic activities in mountain areas for the long‐term evolution of local plant assemblages. SedaDNA data, associated with other paleoenvironmental proxies and present plant assemblages, appear to be a relevant tool for reconstruction of plant cover history. Their integration, in conjunction with classical tools, offers interesting perspectives for a better understanding of long‐term ecosystem dynamics under the influence of human‐induced and environmental drivers.

Shedding new light on the diet of Norwegian lemmings: DNA metabarcoding of stomach content

Lemmings are key herbivores in many arctic food webs, and their population dynamics have major impacts on the functioning of tundra systems. However, current knowledge of lemming diet is limited, hampering evaluation of lemming–vegetation interactions. This lack of knowledge is mainly due to methodological challenges, as previously used microhistological methods result in large proportions of poorly resolved plant taxa. We analyzed diets of Norwegian lemmings (Lemmus lemmus) in three different habitats using a new method, DNA metabarcoding of stomach contents. To achieve detailed information on ingested vascular plants, bryophytes, and fungi, we amplified short fragments of chloroplast DNA (for plants; P6 loop of the trnL intron) and nuclear ribosomal DNA (for fungi; ITS1-region). Our results revealed that lemming diets were dominated by grasses, mainly Avenella flexuosa, and mosses, mainly Dicranum spp., but that a variety of other food items were also eaten. Vascular plant composition of the diets differed between heath, meadow, and wetland habitats, whereas bryophyte composition did not. Also, a variety of fungal taxa were retrieved, but as most of the identified taxa belong to micromycetes, they were unlikely to be consumed as food. The role of fungi in the diet of lemmings remains to be investigated. We suggest that there may be substantial variation between habitats and regions in lemming diet.

Exonuclease activity of proofreading DNA polymerases is at the origin of artifacts in molecular profiling studies

CE fingerprint methods are commonly used in microbial ecology. We have previously noticed that the position and number of peaks in CE‐SSCP (single‐strand conformation polymorphism) profiles depend on the DNA polymerase used in PCR [1]. Here, we studied the fragments produced by Taq polymerase as well as four commercially available proofreading polymerases, using the V3 region of the Escherichia coli rss gene as a marker. PCR products rendered multiple peaks in denaturing CE; Taq polymerase was observed to produce the longest fragments. Incubation of the fragments with T4 DNA polymerase indicated that the 3′‐ends of the proofreading polymerase amplicons were recessed, while the Taq amplicon was partially +A tailed. Treatment of the PCR product with proofreading DNA polymerase rendered trimmed fragments. This was due to the 3′–5′ exonuclease activity of these enzymes, which is essential for proofreading. The nuclease activity was reduced by increasing the concentration of dNTP. The Platinum® Pfx DNA polymerase generated very few artifacts and could produce 85% of blunted PCR products. Nevertheless, despite the higher error rate, we recommend the use of Taq polymerase rather than proofreading in the framework for molecular fingerprint studies. They are more cost‐effective and therefore ideally suited for high‐throughput analysis; the +A tail artifact rate can be controlled by modifying the PCR primers and the reaction conditions.

Vector soup: high‐throughput identification of Neotropical phlebotomine sand flies using metabarcoding

Phlebotomine sand flies are haematophagous dipterans of primary medical importance. They represent the only proven vectors of leishmaniasis worldwide and are involved in the transmission of various other pathogens. Studying the ecology of sand flies is crucial to understand the epidemiology of leishmaniasis and further control this disease. A major limitation in this regard is that traditional morphological‐based methods for sand fly species identifications are time‐consuming and require taxonomic expertise. DNA metabarcoding holds great promise in overcoming this issue by allowing the identification of multiple species from a single bulk sample. Here, we assessed the reliability of a short insect metabarcode located in the mitochondrial 16S rRNA for the identification of Neotropical sand flies, and constructed a reference database for 40 species found in French Guiana. Then, we conducted a metabarcoding experiment on sand flies mixtures of known content and showed that the method allows an accurate identification of specimens in pools. Finally, we applied metabarcoding to field samples caught in a 1‐ha forest plot in French Guiana. Besides providing reliable molecular data for species‐level assignations of phlebotomine sand flies, our study proves the efficiency of metabarcoding based on the mitochondrial 16S rRNA for studying sand fly diversity from bulk samples. The application of this high‐throughput identification procedure to field samples can provide great opportunities for vector monitoring and eco‐epidemiological studies.

Metagenome skimming for phylogenetic community ecology: a new era in biodiversity research

It is now well recognized that considering species evolutionary history is crucial for understanding the processes driving community assembly (Cavender‐Bares et al. ). Considerable efforts have been made to integrate phylogenetics and community ecology into a single theoretical framework. Yet, assessing phylogenetic structure at the community scale remains a great challenge, in particular for poorly known organisms. While DNA metabarcoding is increasingly used for assessing taxonomic composition of complex communities from environmental samples, biases and limitations of this technique can preclude the retrieval of information on phylogenetic community structure. In this issue of Molecular Ecology, Andújar et al. (2015) demonstrate that shotgun sequencing of bulk samples of soil beetles and subsequent reconstruction of mitochondrial genomes can provide a solid phylogenetic framework to estimate species diversity and gain insights into the mechanisms underlying the spatial turnover of soil mesofaunal assemblages. This work highlights the enormous potential of ‘metagenome skimming’ not only for improving the current standards of DNA‐based biodiversity assessment but also for opening up the application of phylogenetic community ecology to hyperdiverse and poorly known biota, which was heretofore inconceivable.

Coalescing molecular evolution and DNA barcoding

The DNA barcoding concept (Woese et al. ; Hebert et al. ) has considerably boosted taxonomy research by facilitating the identification of specimens and discovery of new species. Used alone or in combination with DNA metabarcoding on environmental samples (Taberlet et al. ), the approach is becoming a standard for basic and applied research in ecology, evolution and conservation across taxa, communities and ecosystems (Scheffers et al. ; Kress et al. ). However, DNA barcoding suffers from several shortcomings that still remain overlooked, especially when it comes to species delineation (Collins & Cruickshank ). In this issue of Molecular Ecology, Barley & Thomson ( ) demonstrate that the choice of models of sequence evolution has substantial impacts on inferred genetic distances, with a propensity of the widely used Kimura 2‐parameter model to lead to underestimated species richness. While DNA barcoding has been and will continue to be a powerful tool for specimen identification and preliminary taxonomic sorting, this work calls for a systematic assessment of substitution models fit on barcoding data used for species delineation and reopens the debate on the limitation of this approach.

Evaluation of short mitochondrial metabarcodes for the identification of Amazonian mammals

Summary DNA barcoding and metabarcoding are increasingly used as alternatives to traditional morphological identifications. For animals, the standard barcode is a c. 658-bp portion of the COI gene, for which reference libraries now cover a large proportion of described mammal species. Unfortunately, because its sequence is too long and does not contain highly conserved primer binding sites, this marker is not adapted for metabarcoding. Although alternative metabarcodes have been developed, their performances are generally seldom assessed. We evaluate the reliability of a short metabarcode located in the mitochondrial 12S ribosomal RNA for the identifications of Amazonian mammals. We (i) constitute a nearly exhaustive reference library for species found in French Guiana, (ii) assess the taxonomic resolution of the marker and validate its use with dipteran blood meal analyses, (iii) assess the conservation of the primer binding sites, and (iv) compare its theoretical performances with that of a newly designed metabarcode located within the standard COI barcode. About 576 specimens representing 164 species were gathered and sequenced. We show that the 12S marker allows remarkably accurate taxonomic assignations despite its very short size, and that primer binding sites are highly conserved, which is important to avoid PCR amplification bias potentially leading to detection failure. Additionally, our results stress that the identifications should only be considered at the generic level when they are based on incomplete reference libraries, even when a stringent similarity cut-off is used. A new short COI metabarcode was designed based on 569 reference sequences of mammals retrieved on BOLD. Our results clearly show that, while both markers provide similar taxonomic resolution, much higher rates of primer mismatches are found with COI. Besides demonstrating the accuracy of the short 12S marker for the identification of Amazonian mammals and providing a reliable molecular reference database, this study emphasizes that the accuracy of taxonomic assignations highly depends on the comprehensiveness of the reference library and that great caution should be taken for interpreting metabarcoding results based on scarce reference libraries. The comparison with a short COI metabarcode also provides novel evidence in support for the use of ribosomal markers in metabarcoding studies.

Not only mosses: lemming winter diets as described by DNA metabarcoding

The temporal dynamics of most tundra food webs are shaped by the cyclic population dynamics of lemmings. While processes during winter may be behind the recent disruptions of lemming cycles, lemming winter ecology is poorly known. We present here the first DNA metabarcoding data on the winter diet of Norwegian lemmings (Lemmus lemmus), based on feces collected after a winter of population increase. Prostrate willows, mosses, and graminoids dominated the species winter diet, indicating that the conventional idea of lemmings as moss-specialists should be revised. The behavior of lemming-plant models in theoretical studies is conditional on the assumptions of mosses being their main winter food item. As shrubs have been excluded from the framework of these models, incorporating them in future modeling studies should nuance our understanding on how plants affect lemmings. We also sampled diet of a few individuals found dead on top of the snow. These individuals had relatively empty stomachs and had, prior to death, relied heavily on mosses. This apparent lack of abundant good quality indicates spatial heterogeneity in local food availability during the population increase phase.

Comparative analysis of DNA extraction methods to study the body surface microbiota of insects: A case study with ant cuticular bacteria

High‐throughput sequencing of the 16S rRNA gene has considerably helped revealing the essential role of bacteria living on insect cuticles in the ecophysiology and behaviour of their hosts. However, our understanding of host‐cuticular microbiota feedbacks remains hampered by the difficulties of working with low bacterial DNA quantities as with individual insect cuticle samples, which are more prone to molecular biases and contaminations. Herein, we conducted a methodological benchmark on the cuticular bacterial loads retrieved from two Neotropical ant species of different body size and ecology: Atta cephalotes (~15 mm) and Pseudomyrmex penetrator (~5 mm). We evaluated the richness and composition of the cuticular microbiota, as well as the amount of biases and contamination produced by four DNA extraction protocols. We also addressed how bacterial community characteristics would be affected by the number of individuals or individual body size used for DNA extraction. Most extraction methods yielded similar results in terms of bacterial diversity and composition for A. cephalotes (~15 mm). In contrast, greater amounts of artefactual sequences and contaminations, as well as noticeable differences in bacterial community characteristics were observed between extraction methods for P. penetrator (~5 mm). We also found that large (~15 mm) and small (~5 mm) A. cephalotes individuals harbour different bacterial communities. Our benchmark suggests that cuticular microbiota of single individual insects can be reliably retrieved provided that blank controls, appropriate data cleaning, and individual body size and functional role within insect society are considered in the experiment.

Fasta file of fungal unique sequences

Fungal unique sequences from soils of alpine grasslands dominated by Carex curvula or C. curvula sp roase and subalpine pastures dominated by Nardus stricta