scholarly journals Enhancing DNA metabarcoding performance and applicability with bait capture enrichment and DNA from conservative ethanol

2019 ◽  
Author(s):  
M. Gauthier ◽  
L. Konecny-Dupré ◽  
A. Nguyen ◽  
V. Elbrecht ◽  
T. Datry ◽  
...  
Keyword(s):  
Taxonomic Resolution ◽  
Detection Rates ◽  
Accurate Representation ◽  
Dna Metabarcoding ◽  
Efficient Alternative ◽  
Alternative Identification ◽  
Species Occurrences ◽  
Enrichment Step ◽  
Mock Communities ◽  
Identification Tool

ABSTRACTMetabarcoding is often presented as an alternative identification tool to compensate for coarse taxonomic resolution and misidentification encountered with traditional morphological approaches. However, metabarcoding comes with two major impediments which slow down its adoption. First, the picking and destruction of organisms for DNA extraction are time and cost consuming and do not allow organism conservation for further evaluations. Second, current metabarcoding protocols include a PCR enrichment step which induces errors in the estimation of species diversity and relative biomasses. In this study, we first evaluated the capacity of capture enrichment to replace PCR enrichment using controlled freshwater macrozoobenthos mock communities. Then, we tested if DNA extracted from the fixative ethanol (etDNA) of the same mock communities can be used as an alternative to DNA extracted from pools of whole organisms (bulk DNA). We show that capture enrichment provides more reliable and accurate representation of species occurrences and relative biomasses in comparison with PCR enrichment for bulk DNA. While etDNA does not permit to estimate relative biomasses, etDNA and bulk DNA provide equivalent species detection rates. Thanks to its robustness to mismatches, capture enrichment is already an efficient alternative to PCR enrichment for metabarcoding and, if coupled to etDNA, is a time-saver option in studies where presence information only is sufficient.

scholarly journals Characterizing parasitic nematode faunas in faeces and soil using DNA metabarcoding

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Marie Louise Davey ◽  
Kjersti Selstad Utaaker ◽  
Frode Fossøy
Keyword(s):  
Parasitic Nematode ◽  
Cost Effective ◽  
Gastrointestinal Nematodes ◽  
Soil Samples ◽  
Taxonomic Resolution ◽  
Parasitic Nematodes ◽  
Morphological Identification ◽  
Detection Rates ◽  
Non Invasive ◽  
Dna Metabarcoding

Abstract Background Gastrointestinal parasitic nematodes can impact fecundity, development, behaviour, and survival in wild vertebrate populations. Conventional monitoring of gastrointestinal parasitic nematodes in wild populations involves morphological identification of eggs, larvae, and adults from faeces or intestinal samples. Adult worms are typically required for species-level identification, meaning intestinal material from dead animals is needed to characterize the nematode community with high taxonomic resolution. DNA metabarcoding of environmental samples is increasingly used for time- and cost-effective, high-throughput biodiversity monitoring of small-bodied organisms, including parasite communities. Here, we evaluate the potential of DNA metabarcoding of faeces and soil samples for non-invasive monitoring of gastrointestinal parasitic nematode communities in a wild ruminant population. Methods Faeces and intestines were collected from a population of wild reindeer, and soil was collected both from areas showing signs of animal congregation, as well as areas with no signs of animal activity. Gastrointestinal parasitic nematode faunas were characterized using traditional morphological methods that involve flotation and sedimentation steps to concentrate nematode biomass, as well as using DNA metabarcoding. DNA metabarcoding was conducted on bulk samples, in addition to samples having undergone sedimentation and flotation treatments. Results DNA metabarcoding and morphological approaches were largely congruent, recovering similar nematode faunas from all samples. However, metabarcoding provided higher-resolution taxonomic data than morphological identification in both faeces and soil samples. Although concentration of nematode biomass by sedimentation or flotation prior to DNA metabarcoding reduced non-target amplification and increased the diversity of sequence variants recovered from each sample, the pretreatments did not improve species detection rates in soil and faeces samples. Conclusions DNA metabarcoding of bulk faeces samples is a non-invasive, time- and cost-effective method for assessing parasitic nematode populations that provides data with comparable taxonomic resolution to morphological methods that depend on parasitological investigations of dead animals. The successful detection of parasitic gastrointestinal nematodes from soils demonstrates the utility of this approach for mapping distribution and occurrences of the free-living stages of gastrointestinal parasitic nematodes. Graphical abstract

scholarly journals The use of eDNA and DNA metabarcoding in monitoring the ecological condition of Norwegian lakes

2021 ◽  
Vol 4 ◽  
Author(s):  
Sara Atienza Casas ◽  
Markus Majaneva ◽  
Thomas Jensen ◽  
Marie Davey ◽  
Frode Fossøy ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Ecological Status ◽  
Ecological Condition ◽  
Molecular Techniques ◽  
Taxonomic Resolution ◽  
Potential Cost ◽  
Running Water ◽  
National Monitoring ◽  
Monitoring Programs ◽  
Dna Metabarcoding

Biodiversity assessments using molecular identification of organisms through high-throughput sequencing techniques have been a game changer in ecosystem monitoring, providing increased taxonomic resolution, more objective identifications, potential cost reductions, and reduced processing times. The use of DNA metabarcoding of bulk samples and environmental DNA (eDNA) is now widespread but is not yet universally implemented in national monitoring programs. While bulk sample metabarcoding involves extraction of DNA from organisms in a sample, eDNA analysis involves obtaining DNA directly from environmental samples, which can include microorganisms, meiofauna-size taxa and macrofauna traces such as larval stages, skin and hair cells, gametes, faeces and free DNA bound to particles. In Norway, freshwater biomonitoring in compliance with the EU Water Framework Directive (WFD) is conducted on several administrative levels, including national monitoring programs for running water, small and large lakes. These programs typically focus on a fraction of the actual biodiversity present in the monitored habitats (Weigand 2019). DNA metabarcoding of both bulk samples and eDNA samples are relevant tools for future freshwater biomonitoring in Norway. The aim of this PhD project is to develop assessment protocols based on DNA-metabarcoding and eDNA of benthic invertebrates, microcrustaceans and fish that can be used as standard biomonitoring tools to assess the ecological condition of lakes. The main topics addressed will be: - Development of protocols throughout the eDNA-metabarcoding workflow (i.e. sampling, filtration, preservation, extraction, amplification and sequencing) suitable to execute biodiversity assessments and determine the ecological status of lakes. - Comparison of the results obtained using molecular tools and traditional morphology-based approaches in order to assess the feasibility of such techniques to be incorporated as standard biomonitoring tools, such as the ones implemented under the provisions of the WFD. - Evaluate the effect of improved taxonomic resolution from molecular techniques on determining the ecological status of lakes, both by broadening the number of taxa analyzed and by identifying more taxa to species level. - Assess the feasibility of using eDNA extracted from water samples, taken at different depths and fish densities, to measure fish abundance/biomass as a proxy to calculate the ecological quality indices regulated in the WFD. - Analyze the coverage and resolution provided by reference libraries for certain taxa, such as crustacea, in order to assess the reliability and precision of taxonomic assignments.

scholarly journals Cartography of Free-Living Amoebae in Soil in Guadeloupe (French West Indies) Using DNA Metabarcoding

Pathogens ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 440
Author(s):  
Yann Reynaud ◽  
Célia Ducat ◽  
Antoine Talarmin ◽  
Isabel Marcelino
Keyword(s):  
West Indies ◽  
Hot Springs ◽  
Soil Samples ◽  
Microbial Pathogens ◽  
Potential Threat ◽  
Free Living ◽  
Dna Metabarcoding ◽  
Different Temperatures ◽  
Les Saintes ◽  
Enrichment Step

Free-living amoebae (FLA) are ubiquitous protists. Pathogenic FLA such as N. fowleri can be found in hot springs in Guadeloupe, soil being the origin of this contamination. Herein, we analyzed the diversity and distribution of FLA in soil using a targeted metataxonomic analysis. Soil samples (n = 107) were collected from 40 sites. DNA was extracted directly from soil samples or from FLA cultivated at different temperatures (30, 37 and 44 °C). Metabarcoding studies were then conducted through FLA 18SrDNA amplicons sequencing; amplicon sequence variants (ASV) were extracted from each sample and taxonomy assigned against SILVA database using QIIME2 and SHAMAN pipelines. Vermamoeba were detected in DNA extracted directly from the soil, but to detect other FLA an amoebal enrichment step was necessary. V. vermiformis was by far the most represented species of FLA, being detected throughout the islands. Although Naegleria were mainly found in Basse-Terre region, N. fowleri was also detected in Grand Terre and Les Saintes Islands. Acanthamoeba were mainly found in areas where temperature is approx. 30 °C. Vannella and Vahlkampfia were randomly found in Guadeloupe islands. FLA detected in Guadeloupe include both pathogenic genera and genera that can putatively harbor microbial pathogens, therefore posing a potential threat to human health.

scholarly journals Sorting things out - assessing effects of unequal specimen biomass on DNA metabarcoding

2016 ◽  
Author(s):  
Vasco Elbrecht ◽  
Bianca Peinert ◽  
Florian Leese
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Sequencing Depth ◽  
West Germany ◽  
Coi Gene ◽  
Mountain Stream ◽  
Detection Rates ◽  
Size Classes ◽  
Dna Metabarcoding ◽  
Size Sorting

1) Environmental bulk samples often contain many taxa with biomass differences of several orders of magnitude. This can be problematic in DNA metabarcoding and metagenomic high throughput sequencing approaches, as large specimens contribute over proportionally much DNA template. Thus a few specimens of high biomass will dominate the dataset, potentially leading to smaller specimens remaining undetected. Sorting of samples and balancing the amounts of tissue used per size fraction should improve detection rates, but has not been systematically tested. 2) Here we tested the effects of size sorting on taxa detection using freshwater macroinvertebrates. Kick sampling was performed at two locations of a low-mountain stream in West Germany, specimens were morphologically identified and sorted into small, medium and large size classes (< 2.5x5, 5x10 and up to 10x20 mm). Tissue from the 3 size categories was extracted individually, and pooled to simulate bulk samples that were not sorted and samples which were sorted and then pooled proportionately by specimen size. DNA from all 5 extractions of both samples was amplified using 4 different freshwater primer sets for the COI gene and sequenced on a HiSeq Illumina sequencer. 3) Sorting taxa by size and pooling them proportionately according to their abundance lead to a more equal amplification compared to the processing of complete samples without sorting. The sorted samples recovered 30% more taxa than the unsorted samples, at the same sequencing depth. Our results imply that sequencing depth can be decreased ~ 5 fold when sorting the samples into three size classes. 4) Our results demonstrate that even a coarse size sorting can substantially improve detection rates. While high throughput sequencing will become more accessible and cheaper within the next years, sorting bulk samples by specimen biomass is a simple yet efficient method to reduce current sequencing costs.

scholarly journals Preliminary analysis of New Zealand scampi (Metanephrops challengeri) diet using metabarcoding

2018 ◽  
Author(s):  
Aimee L van der Reis ◽  
Olivier Laroche ◽  
Andrew G Jeffs ◽  
Shane D Lavery
Keyword(s):  
New Zealand ◽  
Preliminary Analysis ◽  
18S Rrna ◽  
18S Rrna Gene ◽  
Coi Gene ◽  
Taxonomic Resolution ◽  
Gut Contents ◽  
Rrna Gene ◽  
Diverse Range ◽  
Dna Metabarcoding

Deep sea lobsters are highly valued for seafood and provide the basis of important commercial fisheries in many parts of the world. Despite their economic significance, relatively little is known about their natural diets. Microscopic analyses of foregut content in some species have suffered from low taxonomic resolution, with many of the dietary items difficult to reliably identify as their tissue is easily digested. DNA metabarcoding has the potential to provide greater taxonomic resolution of the diet of the New Zealand scampi (Metanephrops challengeri) through the identification of gut contents, but a number of methodological concerns need to be overcome first to ensure optimum DNA metabarcoding results. In this study, a range of methodological parameters were tested to determine the optimum protocols for DNA metabarcoding, and provide a first view of M. challengeri diet. Several PCR protocols were tested, using two universal primer pairs targeting the 18S rRNA and COI genes, on DNA extracted from both frozen and ethanol preserved samples for both foregut and hindgut digesta. The selection of appropriate DNA polymerases, buffers and methods for reducing PCR inhibitors (including the use of BSA) were found to be critical. Amplification from frozen or ethanol preserved gut contents appeared similarly dependable, but metabarcoding outcomes indicated that the ethanol samples produced better results from the COI gene. The COI gene was found to be more effective than 18S rRNA gene for identifying large eukaryotic taxa from the digesta, however, it was less successfully amplified. The 18S rRNA gene was more easily amplified, but identified mostly smaller marine organisms such as plankton and parasites. This preliminary analysis of the diet of M. challengeri identified a range of species (13,541 reads identified as diet), which included the ghost shark (Hydrolagus novaezealandiae), silver warehou (Seriolella punctate), tall sea pen (Funiculina quadrangularis) and the salp (Ihlea racovitza), suggesting that they have a varied diet, with a high reliance on scavenging a diverse range of pelagic and benthic species from the seafloor.

DNA metabarcode choice and design

2018 ◽  
Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac
Keyword(s):  
In Silico ◽  
Taxonomic Group ◽  
Taxonomic Resolution ◽  
Software Suite ◽  
Resolution Power ◽  
Wide Range ◽  
Dna Metabarcoding ◽  
Primer Annealing ◽  
Taxonomic Groups ◽  
The Ideal

Chapter “DNA metabarcode choice and design” develops the properties of the ideal metabarcode in a given context, including conservation of the primer annealing regions and resolution power across the target taxonomic group of interest. It also highlights the experimental constraints influencing the choice of a metabarcode in practice. A detailed tutorial illustrates how to design and test metabarcoding primers in silico with the programs ecoPrimers, ecoPCR, and the software suite OBITools. Command lines and example files are provided to design and test universal metabarcoding primers for Bacteria. Chapter 2 also gives statistics about the taxonomic resolution and primer conservation of more than 60 metabarcodes available for DNA metabarcoding analysis of a wide range of taxonomic groups.

scholarly journals DNA metabarcoding reveals metacommunity dynamics in a threatened boreal wetland wilderness

2020 ◽  
Vol 117 (15) ◽  
pp. 8539-8545 ◽  
Author(s):  
Alex Bush ◽  
Wendy A. Monk ◽  
Zacchaeus G. Compson ◽  
Daniel L. Peters ◽  
Teresita M. Porter ◽  
...  
Keyword(s):  
Oil Sands ◽  
Statistical Power ◽  
Flood Frequency ◽  
Probability Of Detection ◽  
Taxonomic Resolution ◽  
Morphological Identification ◽  
Occupancy Models ◽  
Trade Offs ◽  
Dna Metabarcoding ◽  
Wetland Complex

The complexity and natural variability of ecosystems present a challenge for reliable detection of change due to anthropogenic influences. This issue is exacerbated by necessary trade-offs that reduce the quality and resolution of survey data for assessments at large scales. The Peace–Athabasca Delta (PAD) is a large inland wetland complex in northern Alberta, Canada. Despite its geographic isolation, the PAD is threatened by encroachment of oil sands mining in the Athabasca watershed and hydroelectric dams in the Peace watershed. Methods capable of reliably detecting changes in ecosystem health are needed to evaluate and manage risks. Between 2011 and 2016, aquatic macroinvertebrates were sampled across a gradient of wetland flood frequency, applying both microscope-based morphological identification and DNA metabarcoding. By using multispecies occupancy models, we demonstrate that DNA metabarcoding detected a much broader range of taxa and more taxa per sample compared to traditional morphological identification and was essential to identifying significant responses to flood and thermal regimes. We show that family-level occupancy masks high variation among genera and quantify the bias of barcoding primers on the probability of detection in a natural community. Interestingly, patterns of community assembly were nearly random, suggesting a strong role of stochasticity in the dynamics of the metacommunity. This variability seriously compromises effective monitoring at local scales but also reflects resilience to hydrological and thermal variability. Nevertheless, simulations showed the greater efficiency of metabarcoding, particularly at a finer taxonomic resolution, provided the statistical power needed to detect change at the landscape scale.

scholarly journals A new oomycete metabarcoding method using the rps10 gene

2021 ◽  
Author(s):  
Zachary S. L. Foster ◽  
Felipe E Albornoz ◽  
Valerie J Fieland ◽  
Meredith M Larsen ◽  
Frank Andrew Jones ◽  
...  
Keyword(s):  
Environmental Samples ◽  
Illumina Miseq ◽  
Taxonomic Resolution ◽  
Reference Database ◽  
Mock Community ◽  
Operational Taxonomic Units ◽  
Wide Range ◽  
Dna Metabarcoding ◽  
Improved Methods

Oomycetes are a group of eukaryotes related to brown algae and diatoms, many of which cause diseases in plants and animals. Improved methods are needed for rapid and accurate characterization of oomycete communities using DNA metabarcoding. We have identified the mitochondrial 40S ribosomal protein S10 gene (rps10) as a locus useful for oomycete metabarcoding and provide primers predicted to amplify all oomycetes based on available reference sequences from a wide range of taxa. We evaluated its utility relative to a popular barcode, the internal transcribed spacer 1 (ITS1), by sequencing environmental samples and a mock community using Illumina MiSeq. Amplified sequence variants (ASVs) and operational taxonomic units (OTUs) were identified per community. Both the sequence and predicted taxonomy of ASVs and OTUs were compared to the known composition of the mock community. Both rps10 and ITS yielded ASVs with sequences matching 21 of the 24 species in the mock community and matching all 24 when allowing for a 1 bp difference. Taxonomic classifications of ASVs included 23 members of the mock community for rps10 and 17 for ITS1. Sequencing results for the environmental samples suggest the proposed rps10 locus results in substantially less amplification of non-target organisms than the ITS1 method. The amplified rps10 region also has higher taxonomic resolution than ITS1, allowing for greater discrimination of closely related species. We present a new website with a searchable rps10 reference database for species identification and all protocols needed for oomycete metabarcoding. The rps10 barcode and methods described herein provide an effective tool for metabarcoding oomycetes using short-read sequencing.

scholarly journals rpoB, a promising marker for analyzing the diversity of bacterial communities by amplicon sequencing

2019 ◽  
Author(s):  
Jean-Claude OGIER ◽  
Sylvie Pagès ◽  
Maxime Galan ◽  
Matthieu Barret ◽  
Sophie Gaudriault
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
Amplicon Sequencing ◽  
Taxonomic Resolution ◽  
Taxonomic Structure ◽  
Rrna Gene ◽  
Specificity And Sensitivity ◽  
The 16S Rrna Gene ◽  
Mock Communities

Abstract Background Microbiome composition is frequently studied by the amplification and high-throughput sequencing of specific molecular markers (metabarcoding). Various hypervariable regions of the 16S rRNA gene are classically used to estimate bacterial diversity, but other universal bacterial markers with a finer taxonomic resolution could be employed. We compared specificity and sensitivity between a portion of the rpoB gene and the V3V4 hypervariable region of the 16S rRNA gene. Results We first designed universal primers for rpoB suitable for use with Illumina sequencing-based technology and constructed a reference rpoB database of 45,000 sequences. The rpoB and V3V4 markers were amplified and sequenced from (i) a mock community of 19 bacterial strains from both Gram-negative and Gram-positive lineages; (ii) bacterial assemblages associated with entomopathogenic nematodes. In metabarcoding analyses of mock communities with two analytical pipelines (FROGS and DADA2), the estimated diversity captured with the rpoB marker resembled the expected composition of these mock communities more closely than that captured with V3V4. The rpoB marker had a higher level of taxonomic affiliation, a higher sensitivity (detection of all the species present in the mock communities), and a higher specificity (low rates of spurious OTU detection) than V3V4. We applied both primers to infective juveniles of the nematode Steinernema glaseri. Both markers showed the bacterial community associated with this nematode to be of low diversity (< 50 OTUs), but only rpoB reliably detected the symbiotic bacterium Xenorhabdus poinarii. Conclusions Our results confirm that different microbiota composition data may be obtained with different markers. We found that rpoB was a highly appropriate marker for assessing the taxonomic structure of mock communities and the nematode microbiota. Further studies on other ecosystems should be considered to evaluate the universal usefulness of the rpoB marker. Our data highlight two crucial elements that should be taken into account to ensure more reliable and accurate descriptions of microbial diversity in high-throughput amplicon sequencing analyses: i) the need to include mock communities as controls; ii) the advantages of using a multigenic approach including at least one housekeeping gene (rpoB is a good candidate) and one variable region of the 16S rRNA gene.

scholarly journals rpoB, a promising marker for analyzing the diversity of bacterial communities by amplicon sequencing

2019 ◽  
Author(s):  
Jean-Claude OGIER ◽  
Sylvie Pagès ◽  
Maxime Galan ◽  
Matthieu Barret ◽  
Sophie Gaudriault
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
Amplicon Sequencing ◽  
Taxonomic Resolution ◽  
Taxonomic Structure ◽  
Rrna Gene ◽  
Specificity And Sensitivity ◽  
The 16S Rrna Gene ◽  
Mock Communities

Abstract Background Microbiome composition is frequently studied by the amplification and high-throughput sequencing of specific molecular markers (metabarcoding). Various hypervariable regions of the 16S rRNA gene are classically used to estimate bacterial diversity, but other universal bacterial markers with a finer taxonomic resolution could be employed. We compared specificity and sensitivity between a portion of the rpoB gene and the V3V4 hypervariable region of the 16S rRNA gene. Results We first designed universal primers for rpoB suitable for use with Illumina sequencing-based technology and constructed a reference rpoB database of 45,000 sequences. The rpoB and V3V4 markers were amplified and sequenced from (i) a mock community of 19 bacterial strains from both Gram-negative and Gram-positive lineages; (ii) bacterial assemblages associated with entomopathogenic nematodes. In metabarcoding analyses of mock communities with two analytical pipelines (FROGS and DADA2), the estimated diversity captured with the rpoB marker resembled the expected composition of these mock communities more closely than that captured with V3V4. The rpoB marker had a higher level of taxonomic affiliation, a higher sensitivity (detection of all the species present in the mock communities), and a higher specificity (low rates of spurious OTU detection) than V3V4. We applied both primers to infective juveniles of the nematode Steinernema glaseri. Both markers showed the bacterial community associated with this nematode to be of low diversity (< 50 OTUs), but only rpoB reliably detected the symbiotic bacterium Xenorhabdus poinarii. Conclusions Our results confirm that different microbiota composition data may be obtained with different markers. We found that rpoB was a highly appropriate marker for assessing the taxonomic structure of mock communities and the nematode microbiota. Further studies on other ecosystems should be considered to evaluate the universal usefulness of the rpoB marker. Our data highlight two crucial elements that should be taken into account to ensure more reliable and accurate descriptions of microbial diversity in high-throughput amplicon sequencing analyses: i) the need to include mock communities as controls; ii) the advantages of using a multigenic approach including at least one housekeeping gene (rpoB is a good candidate) and one variable region of the 16S rRNA gene.

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