Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Resolving biology’s dark matter: species richness, spatiotemporal distribution, and community composition of a dark taxon
Stockholm University, Faculty of Science, Department of Zoology. Norwegian University of Science and Technology, Norway.ORCID iD: 0000-0002-8598-9844
Show others and affiliations
Number of Authors: 82024 (English)In: BMC Biology, E-ISSN 1741-7007, Vol. 22, no 1, article id 215Article in journal (Refereed) Published
Abstract [en]

Background: Zoology’s dark matter comprises hyperdiverse, poorly known taxa that are numerically dominant but largely unstudied, even in temperate regions where charismatic taxa are well understood. Dark taxa are everywhere, but high diversity, abundance, and small size have historically stymied their study. We demonstrate how entomological dark matter can be elucidated using high-throughput DNA barcoding (“megabarcoding”). We reveal the high abundance and diversity of scuttle flies (Diptera: Phoridae) in Sweden using 31,800 specimens from 37 sites across four seasonal periods. We investigate the number of scuttle fly species in Sweden and the environmental factors driving community changes across time and space. Results: Swedish scuttle fly diversity is much higher than previously known, with 549 putative specie) detected, compared to 374 previously recorded species. Hierarchical Modelling of Species Communities reveals that scuttle fly communities are highly structured by latitude and strongly driven by climatic factors. Large dissimilarities between sites and seasons are driven by turnover rather than nestedness. Climate change is predicted to significantly affect the 47% of species that show significant responses to mean annual temperature. Results were robust regardless of whether haplotype diversity or species-proxies were used as response variables. Additionally, species-level models of common taxa adequately predict overall species richness. Conclusions: Understanding the bulk of the diversity around us is imperative during an era of biodiversity change. We show that dark insect taxa can be efficiently characterised and surveyed with megabarcoding. Undersampling of rare taxa and choice of operational taxonomic units do not alter the main ecological inferences, making it an opportune time to tackle zoology’s dark matter.

Place, publisher, year, edition, pages
2024. Vol. 22, no 1, article id 215
Keywords [en]
Biodiversity discovery, Dark taxa, Diptera, DNA barcoding, Hierarchical Modelling of Species Communities, Megabarcoding, Phoridae
National Category
Zoology
Identifiers
URN: urn:nbn:se:su:diva-236935DOI: 10.1186/s12915-024-02010-zISI: 001321828600005Scopus ID: 2-s2.0-85205549962OAI: oai:DiVA.org:su-236935DiVA, id: diva2:1919377
Available from: 2024-12-09 Created: 2024-12-09 Last updated: 2024-12-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Hartop, Emily

Search in DiVA

By author/editor
Hartop, Emily
By organisation
Department of Zoology
In the same journal
BMC Biology
Zoology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf