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DNA barcodes are useful for species-level sorting of specimen samples, but rarely used in time-sensitive projects that require species richness estimates or identification of pest or invasive species within hours. The main reason is that existing express barcoding workflows are either too expensive or can only be carried out in very well equipped laboratories by highly trained staff.We here introduce a simple workflow that combines rapid DNA extraction with HotSHOT, amplicon production with the aid of NextGenPCR® thermocyclers, and sequencing with low-cost MinION sequencers.We demonstrate the power of the approach by generating and identifying 250 barcodes for 285 specimens within 6 hours. The workflow only required the following major equipment that easily fits onto a lab bench: Conventional thermocycler, NextGenPCR® thermocycler, microplate sealer, Qubit, and MinION.We argue that species-level sorting with simplified barcoding workflows is now faster, more accurate, and sufficiently cost-effective that it can and should replace morphospecies sorting in many projects.

Metabarcoding of vertebrate DNA obtained from invertebrates (iDNA) has been used to survey vertebrate communities, but we here show that it can also be used to study species interactions between invertebrates and vertebrates in a spatial context. We sampled the dung and carrion fly community of a swamp forest remnant along a disturbance gradient (10 sites: 80-310m from a road). Approximately, 60% of the baited 407 flies yield 294 vertebrate identifications based on two COI fragments and 16S sequenced with Illumina and/or MinION. A bipartite network analysis finds no specialization in the interaction between flies and vertebrate species, but a spatial analysis revealed that surprisingly 18 of the 20 vertebrate species can be detected within 150m of the road. We show that the fly community sourced for iDNA was unexpectedly rich (24 species, 3 families) and carried DNA for mammals, birds, and reptiles. They included common and rare ground-dwelling (e.g., wild boar, Sunda pangolin), and arboreal species (e.g., long-tailed macaque, Raffles’ banded langur) as well as small bodied vertebrates (skinks, rats). All of our results were obtained with a new, greatly simplified iDNA protocol that eliminates DNA extraction by obtaining template directly through dissolving feces and regurgitates from individual flies with water. Lastly, we show that MinION- and Illumina-based metabarcoding yield similar results. Overall, flies from several families (calliphorids, muscids and sarcophagids) should be used in iDNA surveys because we show that uncommon fly species carry the signal for several vertebrate species that are otherwise difficult to detect with iDNA.

Most of arthropod biodiversity is unknown to science. For this reason, it has been unclear whether insect communities around the world are dominated by the same or different taxa. This question can be answered through standardized sampling of biodiversity followed by estimation of species diversity and community composition with DNA sequences. This approach is here applied to flying insects sampled by 39 Malaise traps placed in five biogeographic regions, eight countries, and numerous habitats (>220,000 specimens belonging to >25,000 species in 463 families). Unexpectedly, we find that 20 insect families account for >50% of local species diversity regardless of continent, climatic region, and habitat type. These consistent differences in family-level dominance explain two-thirds of variation in community composition despite massive levels of species turnover, with most species (>97%) in the top 20 families encountered at a single site only. Alarmingly, the same families that dominate global insect diversity also suffer from extreme taxonomic neglect with little signs of increasing activities in recent years. Tackling the biodiversity of these “dark taxa” thereby emerges as an urgent priority because the arthropod groups comprising most of the global flying insect diversity are particularly poorly known.

Many phoretic relationships between insects are understudied because of taxonomic impediments. We here illustrate for avian lice riding on hippoboscid flies how new natural history data on phoretic relationships can be acquired quickly with NGS barcoding. Most avian lice are host-specific, but some can arrive on new hosts by riding hippoboscid flies that feed on bird blood. Our summary of the literature yielded 254 published records which we here show to belong to two large and 13 small interaction networks for birds, flies, and lice. In order to generate new records, we then developed a new protocol based on screening bird carcasses sourced by citizen scientists. The inspection of 131 carcasses from Singapore lead to the first record of a Guimaraesiella louse species riding on Ornithoica momiyamai flies collected from a pitta carcass. Phoresy may explain why this louse species is now known from three phylogenetically disparate hosts (Pitta moluccensis, Ficedula zanthopygia; Pardaliparus elegans). A second new case of phoresy enhances a large interaction network dominated by Ornithophila metallica, a cosmopolitan and polyphagous hippoboscid fly species. Overall, we argue that many other two- and three-way phoretic relationships between arthropods (e.g., mites, pseudoscorpiones, beetles, flies) can be resolved using cost-effective large-scale NGS barcoding, which can be used to pre-sort specimens for taxonomic revision and thus partially overcome some taxonomic impediments.

Studies of insect mating behaviour usually focus on what happens before and during copulation. Few pay close attention to the actions needed to end copulation. However, genital separation after copulation is likely to be an important cause of mechanical stress and injuries because it often involves the withdrawal of heavily armoured male intromittent organs from membranous female reproductive tracts. Difficult and/or slow separations can also reduce male and female fitness by increasing their exposure to predation. We here report the results of a comparative study of separation behaviour in 48 species of Sepsidae (Diptera) and one outgroup. We find a surprising amount of qualitative and quantitative behavioural variability within and between species. We characterize and reconstruct three types of behaviours: 1) The sepsid ancestor likely used ‘back-off; a gentle separation technique that does not involve any pulling or twisting (https://youtu.be/EbkJvOaubZ0). 2) This potentially gave rise to the most common ‘pull’ technique where the male turns 180 degrees and pulls in an opposite direction from the female (https://youtu.be/oLf4xGpkk1s). This separation can be quick and straightforward, but in some species the ‘pull’ is slow and protracted and we routinely find dead males and/or females attached to their living partners in the latter (difficult: https://youtu.be/MbYPbXN6jr0; failure: https://youtu.be/leTiXefFzCc). 3) Finally, several species use ‘twist’, a new technique where the male rotates >360 degrees from the initial mounting position (https://youtu.be/WMUXbIPyLbk). We document that species capable of using ‘twist’ have shorter and less variable separation times than those using “pull”. However, many species capable of ‘twist’ also retain the ability to use ‘pull’ (‘back-off’/’pull’= 8%; ‘pull’ only= 41%; ‘twist’/ ‘pull’= 24%; ‘twist’ only = 27%). Overall, our study suggests that separation behaviour can vary among closely related species and highlights the significance of studying variable behavioural traits in a phylogenetic context.

Invertebrate biodiversity remains poorly explored although it comprises much of the terrestrial animal biomass, more than 90% of the species-level diversity, supplies many ecosystem services. Increasing anthropogenic threads also require regular monitoring of invertebrate communities. The main obstacle is specimen- and species-rich samples consisting of thousands of small specimens. Traditional sorting techniques require manual handling based on morphology and are too slow and labor-intensive. Molecular techniques based on metabarcoding struggle with obtaining reliable abundance information. We here present a fully automated sorting robot for small specimens that are detected in the mixed sample using a convolutional neural network. Each specimen is then moved from the mixed sample to a well of a 96-well microplate in preparation for DNA barcoding. Prior to movement, the specimen is being photographed and assigned to 14 particularly common “classes” of insects in Malaise trap samples. The average assignment precision for the classes is 91.4 % (75-100 %) based on a preliminary neural network that is expected to improve further as more images are used for training. In order to obtain biomass information, the specimen images are also used to measure the specimen length and estimate the body volume. We outline how the “DiversityScanner” robot can be a key component for tackling and monitoring invertebrate diversity by generating large numbers of images that become training sets for species-, genus-, or family-level convolutional neural networks, once the imaged specimens are classified with DNA barcodes. The robot also allows for taxon-specific subsampling of large invertebrate samples. We conclude that the combination of automation, machine learning, and DNA barcoding has the potential to tackle invertebrate diversity at an unprecedented scale.

Halting biodiversity decline is one of the most critical challenges for humanity, but monitoring biodiversity is hampered by taxonomic impediments. One impediment is the large number of undescribed species (here called “dark taxon impediment”) while another is caused by the large number of superficial species descriptions which can only be resolved by consulting type specimens (“superficial description impediment”). Recently, Sharkey et al. (2021) proposed to address the dark taxon impediment for Costa Rican braconid wasps by describing 403 species based on barcode clusters (“BINs”) computed by BOLD Systems. More than 99% of the BINs (387 of 390) are converted into species by assigning binominal names (e.g., BIN “BOLD:ACM9419” becomes Bracon federicomatarritai) and adding a minimal diagnosis (usually consisting only of a consensus barcode). We here show that many of Sharkey et al.’s species are unstable when the underlying data are analyzed using different species delimitation algorithms. Add the insufficiently informative diagnoses, and many of these species will become the next “superficial description impediment” for braconid taxonomy because they will have to be tested and redescribed after obtaining sufficient evidence for confidently delimiting species. We furthermore show that Sharkey et al.’s approach of using consensus barcodes as diagnoses is not functional because it cannot be consistently applied. Lastly, we reiterate that COI alone is not suitable for delimiting and describing species and voice concerns over Sharkey et al.’s uncritical use of BINs because they are calculated by a proprietary algorithm (RESL) that uses a mixture of public and private data. We urge authors, reviewers, and editors to maintain high standards in taxonomy by only publishing new species that are rigorously delimited with open-access tools and supported by publicly available evidence.

New, rapid, accurate, scalable, and cost-effective species discovery and delimitation methods are needed for tackling “dark taxa”, that we here define as clades for which

Food mislabelling is a growing world-wide problem that is increasingly addressed through the authentication of ingredients via techniques like mass spectrometry or DNA-sequencing. However, traditional DNA sequencing methods are slow, expensive, and require well-equipped laboratories. We here test whether these problems can be overcome through the use of Nanopore sequencing. We sequenced 92 single and 13 mixed-species samples bought in supermarkets and restaurants in Singapore which has a large and diverse seafood trade. We successfully obtained DNA barcodes for 94% and 100% of the single- and mixed-species products after correcting the numerous sequencing errors of MinION reads with a correction pipeline optimized for DNA barcodes. We find comparatively low levels of clear-cut mislabelling for single-species samples (7.6 %) while the rates are higher for mixed-species samples (38.5 %). These low rates are somewhat deceptive, however, because of the widespread use of vague common species names that do not allow for a precise assessment of the expected ingredients. With regard to the clearly mislabelled single-species products, higher-value products (e.g., prawn roe, wild-caught Atlantic salmon, halibut) are replaced with lower-value ingredients (e.g., fish roe, Pacific salmon, arrowtooth flounder) while more serious problems are observed for mixed-species samples. Cuttlefish and prawn balls repeatedly contained pig DNA and 100% of all mixed samples labelled as containing crustaceans (‘crab’, ‘prawn’, ‘lobster’) only yielded fish barcodes. We conclude that there is a need for more regular testing of seafood samples and suggest that due to speed and low-cost, MinION would be a good instrument for this purpose. We also emphasize the need for developing clearer labelling guidelines.

Despite more than 250 years of taxonomic research, we still have only a vague idea about the true size and composition of the faunas and floras of the planet. Many biodiversity inventories provide limited insight because they focus on a small taxonomic subsample or a tiny geographic area. Here, we report on the size and composition of the Swedish insect fauna, thought to represent roughly half of the diversity of multicellular life in one of the largest European countries. Our results are based on more than a decade of data from the Swedish Taxonomy Initiative and its massive inventory of the country’s insect fauna, the Swedish Malaise Trap Project The fauna is considered one of the best known in the world, but the initiative has nevertheless revealed a surprising amount of hidden diversity: more than 3,000 new species (301 new to science) have been documented so far. Here, we use three independent methods to analyze the true size and composition of the fauna at the family or subfamily level: (1) assessments by experts who have been working on the most poorly known groups in the fauna; (2) estimates based on the proportion of new species discovered in the Malaise trap inventory; and (3) extrapolations based on species abundance and incidence data from the inventory. For the last method, we develop a new estimator, the combined non-parametric estimator, which we show is less sensitive to poor coverage of the species pool than other popular estimators. The three methods converge on similar estimates of the size and composition of the fauna, suggesting that it comprises around 33,000 species. Of those, 8,600 (26%) were unknown at the start of the inventory and 5,000 (15%) still await discovery. We analyze the taxonomic and ecological composition of the estimated fauna, and show that most of the new species belong to Hymenoptera and Diptera groups that are decomposers or parasitoids. Thus, current knowledge of the Swedish insect fauna is strongly biased taxonomically and ecologically, and we show that similar but even stronger biases have distorted our understanding of the fauna in the past. We analyze latitudinal gradients in the size and composition of known European insect faunas and show that several of the patterns contradict the Swedish data, presumably due to similar knowledge biases. Addressing these biases is critical in understanding insect biomes and the ecosystem services they provide. Our results emphasize the need to broaden the taxonomic scope of current insect monitoring efforts, a task that is all the more urgent as recent studies indicate a possible worldwide decline in insect faunas.

New techniques for the species-level sorting of millions of specimens are needed in order to accelerate species discovery, determine how many species live on earth, and develop efficient biomonitoring techniques. These sorting methods should be reliable, scalable and cost-effective, as well as being largely insensitive to low-quality genomic DNA, given that this is usually all that can be obtained from museum specimens. Mini-barcodes seem to satisfy these criteria, but it is unclear how well they perform for species-level sorting when compared to full-length barcodes. This is here tested based on 20 empirical datasets covering ca. 30,000 specimens and 5,500 species, as well as six clade-specific datasets from GenBank covering ca. 98,000 specimens for over 20,000 species. All specimens in these datasets had full-length barcodes and had been sorted to species-level based on morphology. Mini-barcodes of different lengths and positions were obtained in silico from full-length barcodes using a sliding window approach (3 windows: 100-bp, 200-bp, 300-bp) and by excising nine mini-barcodes with established primers (length: 94 – 407-bp). We then tested whether barcode length and/or position reduces species-level congruence between morphospecies and molecular Operational Taxonomic Units (mOTUs) that were obtained using three different species delimitation techniques (PTP, ABGD, objective clustering). Surprisingly, we find no significant differences in performance for both species- or specimen-level identification between full-length and mini-barcodes as long as they are of moderate length (>200-bp). Only very short mini-barcodes (200-bp and the congruent mOTUs contain ca. 75% of all specimens. Most conflict is caused by ca. 10% of the specimens that can be identified and should be targeted for re-examination in order to efficiently resolve conflict. Our study suggests that large-scale species discovery, identification, and metabarcoding can utilize mini-barcodes without any demonstrable loss of information compared to full-length barcodes.

Reproduction is well known to be costly for females, but longevity costs of copulations in males are still poorly understood. In particular, the effect of the number of copulations on male longevity is rarely considered. Work on black scavenger flies (Diptera: Sepsidae) showed contrasting results: in Saltella sphondylii the number of copulations is strongly negatively correlated with male longevity, whereas in Sepsis cynipsea mated males did not suffer from reduced longevity. Here we summarize the findings of several studies covering four additional species of sepsid flies from across the phylogenetic tree of sepsids to better understand the evolution of male reproductive costs in this clade. After accounting for the mating system differences between species, we find no evidence for longevity costs in Allosepsis sp., Sepsis fulgens and Themira superba, while in Saltella nigripes multiple copulations drastically reduced longevity. Mapping this trait onto the most current phylogenetic hypothesis for Sepsidae suggests that male cost in Saltella is derived while there is an absence of longevity costs for all other sepsids. We discuss the origin of this novel longevity cost in Saltella in the context of a change in their reproductive strategy, namely the evolution of high polygynandry coupled with unusually brief copulations.