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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.

Current understanding of ecological and evolutionary processes underlying island biodiversity is heavily shaped by empirical data from plants and birds, although arthropods comprise the overwhelming majority of known animal species, and as such can provide key insights into processes governing biodiversity. Novel high throughput sequencing (HTS) approaches are now emerging as powerful tools to overcome limitations in the availability of arthropod biodiversity data, and hence provide insights into these processes. Here, we explored how these tools might be most effectively exploited for comprehensive and comparable inventory and monitoring of insular arthropod biodiversity. We first reviewed the strengths, limitations and potential synergies among existing approaches of high throughput barcode sequencing. We considered how this could be complemented with deep learning approaches applied to image analysis to study arthropod biodiversity. We then explored how these approaches could be implemented within the framework of an island Genomic Observatories Network (iGON) for the advancement of fundamental and applied understanding of island biodiversity. To this end, we identified seven island biology themes at the interface of ecology, evolution and conservation biology, within which collective and harmonized efforts in HTS arthropod inventory could yield significant advances in island biodiversity research., The iGON Working Group was organized by the iBioGen project, which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 810729.

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.

Synchronous multispecific coral spawning generally occurs annually and forms an integral part of the coral life cycle. Apart from spawning times and species participation, however, much else remains unknown. Here, we applied environmental DNA (eDNA) metabarcoding to study two tropical reef sites of contrasting coral cover before, during and after coral spawning. Using coral-ITS2 and vertebrate-12S markers, we evaluated eDNA as an alternative monitoring tool by assessing its capabilities in detecting spawning species and tracking relative abundances of coral and fish eDNA. Over 3 years, elevated eDNA coral signals during the event (proportional read increase of up to five-fold) were observed, detecting a total of 38 coral and 133 fish species with all but one of the coral species visually observed to be spawning. This is also the first demonstration that eDNA metabarcoding can be used to infer the diurnal partitioning of night- and day-time spawning, spawning in coral species overlooked by visual surveys, and the associated changes in fish trophic structures as an indicator of spawning events. Our study paves the way for applied quantitative eDNA metabarcoding approaches to better study ephemeral and important biological events.

Invertebrate biodiversity remains poorly understood although it comprises much of the terrestrial animal biomass, most species and supplies many ecosystem services. The main obstacle is specimen-rich samples obtained with quantitative sampling techniques (e.g., Malaise trapping). Traditional sorting requires manual handling, while molecular techniques based on metabarcoding lose the association between individual specimens and sequences and thus struggle with obtaining precise abundance information. Here we present a sorting robot that prepares specimens from bulk samples for barcoding. It detects, images and measures individual specimens from a sample and then moves them into the wells of a 96-well microplate. We show that the images can be used to train convolutional neural networks (CNNs) that are capable of assigning the specimens to 14 insect taxa (usually families) that are particularly common in Malaise trap samples. The average assignment precision for all taxa is 91.4% (75%-100%). This ability of the robot to identify common taxa then allows for taxon-specific subsampling, because the robot can be instructed to only pick a prespecified number of specimens for abundant taxa. To obtain biomass information, the images are also used to measure specimen length and estimate body volume. We outline how the DiversityScanner can be a key component for tackling and monitoring invertebrate diversity by combining molecular and morphological tools: the images generated by the robot become training images for machine learning once they are labelled with taxonomic information from DNA barcodes. We suggest that a combination of automation, machine learning and DNA barcoding has the potential to tackle invertebrate diversity at an unprecedented scale.

The Sepsidae is, with approximately 300 described species, a relatively small family of cyclorrhaphan flies whose behaviour, morphology, and development have been extensively studied. However, currently the only available tree for Sepsidae is more than 10 years old and was based entirely on morphological characters. Here, we present the results of parsimony and Bayesian analyses based on 75 species, ten genes, and morphology. Parsimony and Bayesian analyses produce largely congruent and well-supported topologies regardless of whether indels are coded as 5th character states, as missing values, or all sites with indels are removed. The tree confirms the monophyly of Sepsidae and identifies the Ropalomeridae as its sister group. With regard to higher-level relationships, we identify widespread conflict between the morphological and the DNA sequence data. The proposed hypothesis based on both partitions largely reflects the signal in the molecular data. Particularly surprising is the rejection of two relationship hypotheses with strong morphological support, namely the sister group relationship between Orygma and the remaining Sepsidae and the monophyly of the Sepsis species group. Our partitioned Bremer support (PBS) analyses imply that indel coding has a stronger effect on the relative performance of individual gene partitions than the exclusion of alignment-ambiguous sequences or the location of a gene on the mitochondrial or nuclear genome. However, these analyses also reveal unexpectedly strong fluctuations in PBS values given that indel treatment has only a minor effect on tree topology and jacknife support. These unexpected fluctuations highlight the need for a comparative study across multiple data sets that investigates the influence of conflict and indel treatment on PBS values. © The Willi Hennig Society 2008.

We present the largest morphological character set ever compiled for Holometabola. This was made possible through an optimized acquisition of data. Based on our analyses and recently published hypotheses based on molecular data, we discuss higherlevel phylogeny and evolutionary changes. We comment on the information content of different character systems and discuss the role of morphology in the age of phylogenomics. Microcomputer tomography in combination with other techniques proved highly efficient for acquiring and documenting morphological data. Detailed anatomical information (356 characters) is now available for 30 representatives of all holometabolan orders. A combination of traditional and novel techniques complemented each other and rapidly provided reliable data. In addition, our approach facilitates documenting the anatomy of model organisms. Our results show little congruence with studies based on rRNA, but confirm most clades retrieved in a recent study based on nuclear genes: Holometabola excluding Hymenoptera, Coleopterida (= Strepsiptera + Coleoptera), Neuropterida excl. Neuroptera, and Mecoptera. Mecopterida (= Antliophora + Amphiesmenoptera) was retrieved only in Bayesian analyses. All orders except Megaloptera are monophyletic. Problems in the analyses are caused by taxa with numerous autapomorphies and ⁄ or inapplicable character states due to the loss of major structures (such as wings). Different factors have contributed to the evolutionary success of various holometabolan lineages. It is likely that good flying performance, the ability to occupy different habitats as larvae and adults, parasitism, liquid feeding, and co-evolution with flowering plants have played important roles. We argue that even in the ‘‘age of phylogenomics’’, comparative morphology will still play a vital role. In addition, morphology is essential for reconstructing major evolutionary transformations at the phenotypic level, for testing evolutionary scenarios, and for placing fossil taxa. � The Willi Hennig Society 2010.

DNA barcoding was proposed in 2003, the Consortium for the Barcode of Life was established in 2004, and the movement has since attracted more than $80 million funding. Here we investigate how many species of multicellular animals have been barcoded. We compare the numbers in a public database (GenBank as of January 2012) with those in the Barcode of Life Database (BOLD) and find that GenBank contains COI (cytochrome c oxidase subunit 1) sequences for ca. 60 000 species while BOLD reports barcodes for ca. 150 000 species. The discrepancy is likely due to a large amount of unpublished data in BOLD. Overall, the species coverage remains sparse, growth rates are low, and the barcode accumulation curve for Metazoa is linear with only 4788 species having been added in 2011. In addition, the vast majority of species in the public database (73%) were barcoded by projects that are unlikely to be related to the DNA barcoding movement. Particularly surprising was the large number of DNA barcodes in GenBank that were not identified to species (Jan 2012: 74%), with insect barcodes often being identified only to order. Of these several hundred thousand have since been suppressed by NCBI because they did not satisfy the iBOL/GenBank early release agreement. Species coverage is considerably better for target taxa of DNA barcoding campaigns (e.g. birds, fishes, Lepidoptera), although it also falls short of published campaign targets. © The Willi Hennig Society 2012