•DNA barcoding is facing many challenges as it incorporates new technological advances.•DNA barcoding and metabarcoding are highly complementary approaches.•We need a coordinated advancement of ...DNA-based species identification.•We need to unify traditional taxonomy, barcoding, and metabarcoding approaches.
DNA-based species identification, known as barcoding, transformed the traditional approach to the study of biodiversity science. The field is transitioning from barcoding individuals to metabarcoding communities. This revolution involves new sequencing technologies, bioinformatics pipelines, computational infrastructure, and experimental designs. In this dynamic genomics landscape, metabarcoding studies remain insular and biodiversity estimates depend on the particular methods used. In this opinion article, I discuss the need for a coordinated advancement of DNA-based species identification that integrates taxonomic and barcoding information. Such an approach would facilitate access to almost 3 centuries of taxonomic knowledge and 1 decade of building repository barcodes. Conservation projects are time sensitive, research funding is becoming restricted, and informed decisions depend on our ability to embrace integrative approaches to biodiversity science.
A diverse array of molecular markers and constantly evolving analytical approaches have been employed to reconstruct the invasion histories of the most notorious invasions. Detailed information on ...the source(s) of introduction, invasion route, type of vectors, number of independent introductions and pathways of secondary spread has been corroborated for a large number of biological invasions. In this review, I present the promises and limitations of current techniques while discussing future directions. Broad phylogeographic surveys of native and introduced populations have traced back invasion routes with surprising precision. These approaches often further clarify species boundaries and reveal complex patterns of genetic relationships with noninvasive relatives. Moreover, fine‐scale analyses of population genetics or genomics allow deep inferences on the colonization dynamics across invaded ranges and can reveal the extent of gene flow among populations across various geographical scales, major demographic events such as genetic bottlenecks as well as other important evolutionary events such as hybridization with native taxa, inbreeding and selective sweeps. Genetic data have been often corroborated successfully with historical, geographical and ecological data to enable a comprehensive reconstruction of the invasion process. The advent of next‐generation sequencing, along with the availability of extensive databases of repository sequences generated by barcoding projects opens the opportunity to broadly monitor biodiversity, to identify early invasions and to quantify failed invasions that would otherwise remain inconspicuous to the human eye.
The use of environmental RNA (eRNA) for species identification remains unexplored due to the observation that in vitro RNA is much less stable than DNA. However, recent lines of evidence suggest that ...RNA may be abundantly excreted by organisms and sufficiently persistent in the environment to reconstruct community composition and gene expression.
The study of environmental DNA (eDNA) has the potential to revolutionize biodiversity science and conservation action by enabling the census of species on a global scale in near real time. To achieve ...this promise, technical challenges must be resolved. In this review, we explore the main uses of eDNA as well as the complexities introduced by its misuse. Current eDNA methods require refinement and improved calibration and validation along the entire workflow to lessen false positives negatives. Moreover, there is great need for a better understanding of the "natural history" of eDNA-its origins, state, lifetime, and transportation-and for more detailed insights concerning the physical and ecological limitations of eDNA use. Although eDNA analysis can provide powerful information, particularly in freshwater and marine environments, its impact is likely to be less significant in terrestrial settings. The broad adoption of eDNA tools in conservation will largely depend on addressing current uncertainties in data interpretation.
Research has demonstrated consistent positive correlations between organism abundance and absolute environmental DNA (eDNA) concentrations. Robust correlations in laboratory experiments indicate ...strong functional links, suggesting the potential for eDNA to monitor organism abundance in nature. However, correlations between absolute eDNA concentrations and organism abundance in nature tend to be weaker because myriad biotic and abiotic factors influence steady‐state eDNA concentrations, decoupling its direct functional link with abundance. Additional technical challenges can also weaken correlations between relative organism abundance and relative eDNA data derived from metabarcoding. Future research must account for these factors to improve the inference of organism abundance from eDNA, including integrating the effects of organism physiology on eDNA production, eDNA dynamics in lentic/lotic systems, and key environmental parameters that impact estimated steady‐state concentrations. Additionally, it is critical to manage expectations surrounding the accuracy and precision that eDNA can provide – eDNA, for example, cannot provide abundance estimates comparable to intensively managed freshwater fisheries that enumerate every individual fish. Recent developments, however, are encouraging. Current methods could provide meaningful information regarding qualitative conservation thresholds and emergent research has demonstrated that eDNA concentrations in natural ecosystems can provide rough quantitative estimates of abundance, particularly when models integrate physiology and/or eDNA dynamics. Operationalizing eDNA to infer abundance will probably require more than simple correlations with organism biomass/density. Nevertheless, the future is promising – models that integrate eDNA dynamics in nature could represent an effective means to infer abundance, particularly when traditional methods are considered too “costly” or difficult to obtain.
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•The efficacies of eDNA/RNA based approaches depend on the release and degradation of these molecules.•eDNA/RNA release and degradation was investigated for two marine invertebrates ...using ddPCR.•eRNA persisted for longer than expected (13 h) and decay rate constants for eDNA/RNA were similar.•There was no evidence that the decay rates constants for eDNA and eRNA were different.•Using eRNA may provide new opportunities for improved biodiversity surveys and transcriptomics.
Over the last decade, there has been growing interest in the analysis of environmental DNA (eDNA) to infer the presence of organisms in aquatic environments. The efficacy of eDNA/eRNA based tools are highly depend on the turnover rate of the molecule (their release and degradation). Environmental DNA has been shown to persist for days, weeks or years in environmental samples. Environmental RNA (eRNA) is thought to degrade faster than eDNA, however to our knowledge, no experimental studies have explored this. Here we present an aquarium study to investigate eDNA and eRNA shedding rates and degradation for two sessile marine invertebrates. The copy numbers for eDNA and eRNA were assessed using droplet digital PCR targeting the mitochondrial Cytochrome c Oxidase subunit 1 (COI) gene. Environmental RNA persisted after organism removal for much longer than expected with detections for up to 13 h. In contrast, eDNA was detected is samples collected up to 94 h after organism removal. There was no evidence that the decay rates constants for eDNA and eRNA were different (p = 0.6, Kruskal-Wallis tests). Both eDNA and eRNA was detected in biofilms collected at the end of the experiment (day 21). This suggests binding with organic or inorganic compounds or stabilization of these molecules in the biofilm matrix. The finding of the prolonged persistence of eRNA may provide new opportunities for improved biodiversity surveys through reducing false positives caused by legacy DNA and could also facilitate new research on environmental transcriptomics.
Significant advances have been made towards surveying animal and plant communities using DNA isolated from environmental samples. Despite rapid progress, we lack a comprehensive understanding of the ...“ecology” of environmental DNA (eDNA), particularly its temporal and spatial distribution and how this is shaped by abiotic and biotic processes. Here, we tested how seasonal variation in thermal stratification and animal habitat preferences influences the distribution of eDNA in lakes. We sampled eDNA depth profiles of five dimictic lakes during both summer stratification and autumn turnover, each containing warm‐ and cool‐water fishes as well as the cold‐water stenotherm, lake trout (Salvelinus namaycush). Habitat use by S. namaycush was validated by acoustic telemetry and was significantly related to eDNA distribution during stratification. Fish eDNA became “stratified” into layers during summer months, reflecting lake stratification and the thermal niches of the species. During summer months, S. namaycush, which rarely ventured into shallow waters, could only be detected at the deepest layers of the lakes, whereas the eDNA of warm‐water fishes was much more abundant above the thermocline. By contrast, during autumn lake turnover, the fish species assemblage as detected by eDNA was homogenous throughout the water column. These findings contribute to our overall understanding of the “ecology” of eDNA within lake ecosystems, illustrating how the strong interaction between seasonal thermal structure in lakes and thermal niches of species on very localized spatial scales influences our ability to detect species.
When environmental stressors of high intensity are sustained for long periods of time, populations face high probabilities of being extirpated. However, depending on the intensity of the stressor, ...large populations with sufficient genetic diversity may persist. We report the results of an experiment that tracked the persistence of Daphnia populations exposed to copper contamination. We assessed whether genotypic diversity reduced the risk of extinction. We created monoclonal and multiclonal populations and monitored their population sizes during a 32‐week experiment. Cu was applied at a sub‐lethal concentration and then increased every week until the population sizes dropped to about 10% of the carrying capacity (Cu at 180 μg/L). The concentration was then increased up to 186 μg/L and held stable until the end of the experiment. A survival analysis showed that clonal diversity extended the persistence of Daphnia populations, but copper contamination caused a substantial genetic erosion followed by population extirpation. However, some Cu‐treated populations, mostly multiclonal, showed U‐shaped patterns of growth consistent with evolutionary rescue but these did not lead to lasting population recovery. These results highlight the importance of genetic variation for population persistence, but they also show how quickly it can be lost in contaminated environments.
Genetic diversity extends survival time in Daphnia populations but it is negatively affected by Cu contamination which may lead to a substantial genetic erosion followed by populations' extirpation.
The effective use of metabarcoding in biodiversity science has brought important analytical challenges due to the need to generate accurate taxonomic assignments. The assignment of sequences to genus ...or species level is critical for biodiversity surveys and biomonitoring, but it is particularly challenging as researchers must select the approach that best recovers information on species composition. This study evaluates the performance and accuracy of seven methods in recovering the species composition of mock communities by using COI barcode fragments. The mock communities varied in species number and specimen abundance, while upstream molecular and bioinformatic variables were held constant, and using a set of COI fragments. We evaluated the impact of parameter optimization on the quality of the predictions. Our results indicate that BLAST top hit competes well with more complex approaches if optimized for the mock community under study. For example, the two machine learning methods that were benchmarked proved more sensitive to reference database heterogeneity and completeness than methods based on sequence similarity. The accuracy of assignments was impacted by both species and specimen counts (query compositional heterogeneity) which ultimately influence the selection of appropriate software. We urge researchers to: (i) use realistic mock communities to allow optimization of parameters, regardless of the taxonomic assignment method employed; (ii) carefully choose and curate the reference databases including completeness; and (iii) use QIIME, BLAST or LCA methods, in conjunction with parameter tuning to better assign taxonomy to diverse communities, especially when information on species diversity is lacking for the area under study.
see also the Perspective by Holly M. Bik.
Metabarcoding combines DNA barcoding with high‐throughput sequencing, often using one genetic marker to understand complex and taxonomically diverse samples. However, species‐level identification ...depends heavily on the choice of marker and the selected primer pair, often with a trade‐off between successful species amplification and taxonomic resolution. We present a versatile metabarcoding protocol for biomonitoring that involves the use of two barcode markers (COI and 18S) and four primer pairs in a single high‐throughput sequencing run, via sample multiplexing. We validate the protocol using a series of 24 mock zooplanktonic communities incorporating various levels of genetic variation. With the use of a single marker and single primer pair, the highest species recovery was 77%. With all three COI fragments, we detected 62%–83% of species across the mock communities, while the use of the 18S fragment alone resulted in the detection of 73%–75% of species. The species detection level was significantly improved to 89%–93% when both markers were used. Furthermore, multiplexing did not have a negative impact on the proportion of reads assigned to each species and the total number of species detected was similar to when markers were sequenced alone. Overall, our metabarcoding approach utilizing two barcode markers and multiple primer pairs per barcode improved species detection rates over a single marker/primer pair by 14% to 35%, making it an attractive and relatively cost‐effective method for biomonitoring natural zooplankton communities. We strongly recommend combining evolutionary independent markers and, when necessary, multiple primer pairs per marker to increase species detection (i.e., reduce false negatives) in metabarcoding studies.
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