Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.09.18.611555

What are the best practices for curating eDNA custom barcode reference libraries? A case study using Australian subterranean fauna.

Abstract

Identification of species for environmental assessment and monitoring is essential for understanding anthropogenic impacts on biodiversity, but for subterranean fauna this task is frequently difficult and time consuming. The implementation of environmental DNA (eDNA) metabarcoding for biodiversity discovery and assessment offers considerable promise for improving the rate, accuracy and efficiency of species detection in ecosystems both above and below the ground. Importantly, for a better understanding of the biodiversity and ecology of organisms detected using eDNA, a custom library of known reference sequences with associated correct taxonomic metadata--i.e., a barcode reference library (BRL)--is required. Yet, minimal guidance is currently available on how an effective (i.e. shareable, multi-sequence, that permits metadata and has a unified nomenclature) and accurate (i.e. verified) custom BRL can be achieved. Here, we present a detailed roadmap for curation of a BRL for subterranean fauna. To do this, we (1) curated a custom sequence database of subterranean fauna at an environmentally sensitive location, Bungaroo Creek in the Pilbara region of Western Australia, for four gene loci useful for eDNA metabarcoding (COI, 18S rRNA, 12S rRNA and 16S rRNA); (2) addressed major gaps in taxonomy and disparate nomenclature of subterranean fauna by estimating 17-29 putative new species with standard delimitation methods, including 34 Barcode Index Numbers (BINs) in BOLD, and (3) summarised a best practice workflow for curation of a custom BRL that has broad applicability and can be applied to any taxa. Scientific Significance StatementIn threatened ecosystems, environmental DNA (eDNA) metabarcoding for biodiversity discovery and assessment offers considerable promise for improvement in the rate, efficiency and accuracy of species detection. For a better understanding of the biodiversity and ecology of organisms detected using eDNA, a custom library of known reference sequences with associated correct taxonomic metadata is required. Minimal guidance is currently available on how an effective (i.e. shareable, multi-sequence, permits metadata and provides a unified nomenclature) custom barcode reference library (BRL) can be achieved for subterranean fauna. Here, we present a road map for sound and reliable curation of a BRL using subterranean fauna from Australia as a case study.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Guzik, M., Stringer, D., Thornhill, J., Coates, P. J., van der Heyde, M., Hillyer, M., White, N. E., Sacco, M., Beasley-Hall, P. G., Humphreys, W. F., Harvey, M. S., Huey, J. A., Wilson, N. G., Alexander, J., Humphreys, G., King, R. A., Cooper, S. J. B., Pinder, A., Perina, G., Nevill, P., Austin, A.. 2024-09-20. What are the best practices for curating eDNA custom barcode reference libraries? A case study using Australian subterranean fauna.. https://doi.org/10.1101/2024.09.18.611555

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Geometry of antigenic evolution improves influenza vaccine selection

Anticipating antigenic evolution is essential for selecting effective seasonal influenza A/H3N2 vaccine strains. To this end, we integrated hemagglutination-inhibition and neutralization titers spanning 2002 to 2025 into a unified Bayesian antigenic map. The map resolves twelve antigenic clusters advancing in discrete steps, with several clusters co-circulating in most seasons. In 15 of 21 seasons, the WHO-recommended vaccine belonged to an earlier cluster than the dominant circulating cluster. The direction of each vaccine update relative to recent viral drift predicted vaccine effectiveness one season ahead in out-of-sample forecasts. Antigenic distance, the conventional measure of vaccine-virus match, was weakly associated with effectiveness until update direction was accounted for. Retrospectively ranking candidate strains by predicted effectiveness would have selected a strain predicted to outperform the WHO recommendation in every season, raising mean predicted effectiveness by 10 percentage points.

evolutionary biology↗

Evolutionary replay of duplicate-gene retention across independent whole-genome duplications

Whole-genome duplications repeatedly expose ancestral gene lineages to the same broad evolutionary outcome-retention or loss of duplicated copies-but it remains unclear whether this history replays similarly across evolutionary scales. We placed duplicate retention in shared hierarchical orthologous-group coordinates and compared percentile ranks defined within each event-wide mapped universe. Three independent angiosperm whole-genome duplications showed reproducible replay (global rank effect T-replay = 0.210, bootstrap 95% confidence interval 0.172-0.248; permutation P = 1/100,001). A plant reference-panel score specified before target outcomes were examined predicted retention after the Apple/Pear duplication ({rho} = 0.169, n = 373). Deep transfer was heterogeneous: the teleost-genome-duplication estimate was positive but unresolved ({rho} = 0.107, n = 151, 95% confidence interval -0.050 to 0.260), whereas transfer to the ancient budding-yeast whole-genome duplication (yeast WGD) was supported ({rho} = 0.280, n = 186). Independently reconstructed animal outcomes also replayed between teleost and Stylommatophora duplications (r = 0.226, n = 146, P = 0.00326), although the effect remained below a prespecified strong-effect threshold. A strict plant-animal comparison was limited to 25 deeply one-to-one lineages and was unresolved (r = 0.033, 95% confidence interval -0.303 to 0.340). Thus, ancestral gene-lineage identity contributes reproducibly to duplicate retention after independent whole-genome duplications, but replay is structured by evolutionary lineage and modified by event-specific history rather than governed by one universal gene-fate ranking.

evolutionary biology↗

A Hymenoptera-restricted gene mediating ant castes co-opts deeply conserved machinery to control organ size

Lineage-specific genes are widespread and have been implicated as phenotypic innovation inducers, but how they acquire complex developmental functions remains poorly understood. Ant queens and workers develop dramatically different organ sizes from identical genomes under juvenile hormone (JH) control, yet the molecular effectors translating JH signalling into caste-specific organ growth remain unknown. Here we identify torch, a Hymenoptera-restricted gene, as the most consistently gyne-biased and JH-responsive gene across 68 ant species. Knockdown of torch in virgin queens of Monomorium pharaonis produces a worker-like, multi-organ growth-restricted phenotype. Mechanistically, torch harbours an E-box-like motif activated by the JH receptor Gce-Tai and acts as a GA-repeat-binding transcription factor that regulates Hippo signalling, the deeply conserved organ-size control pathway in animals. Expressing torch heterologously in mice and a growth-restricted Drosophila background shows that the gene retained its general growth-promoting activity across more than 700 million years of animal evolution in lineages that lack the gene, establishing that its function is mediated through conserved rather than ant-specific machinery. A lineage-specific gene can therefore acquire complex morphogenetic function by co-opting ancient organ-size circuitry, providing a general route by which novel genes can drive phenotypic innovation.

evolutionary biology↗