Biodiversity seen through the perspective of insects: 10 simple rules on methodological choices and experimental design for genomic studies

Research output: Contribution to journalArticle


Massively parallel DNA sequencing opens up opportunities for bridging multiple temporal and spatial dimensions in biodiversity research, thanks to its efficiency to recover millions of nucleotide polymorphisms. Here, we identify the current status, discuss the main challenges, and look into future perspectives on biodiversity genomics focusing on insects, which arguably constitute the most diverse and ecologically important group among all animals. We suggest 10 simple rules that provide a succinct step-by-step guide and best-practices to anyone interested in biodiversity research through the study of insect genomics. To this end, we review relevant literature on biodiversity and evolutionary research in the field of entomology. Our compilation is targeted at researchers and students who may not yet be specialists in entomology or molecular biology. We foresee that the genomic revolution and its application to the study of non-model insect lineages will represent a major leap to our understanding of insect diversity.


  • Pável Matos-Maraví
  • Camila Duarte Ritter
  • Christopher J. Barnes
  • Martin Nielsen
  • Urban Olsson
  • Niklas Wahlberg
  • Daniel Marquina
  • Ilari Sääksjärvi
  • Alexandre Antonelli
External organisations
  • University of Gothenburg
  • Gothenburg Global Biodiversity Centre
  • Institute of Entomology, Biology Centre of the Academy of Sciences of the Czech Republic
  • University of Duisburg-Essen
  • University of Copenhagen
  • Swedish Museum of Natural History
  • Stockholm University
  • University of Turku
  • Natural History Museum of Denmark
  • Royal Botanic Gardens, Kew
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Evolutionary Biology


  • Evolution, High-throughput sequencing, Insect genomics, Museomics, Taxonomic impediment
Original languageEnglish
Article numbere6727
Number of pages31
Issue number4
Publication statusPublished - 2019 Apr 30
Publication categoryResearch