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From whole bodies to single cells: A guide to transcriptomic approaches for ecology and evolutionary biology

  • Katja M. Hoedjes*
  • , Sonja Grath
  • , Nico Posnien
  • , Michael G. Ritchie
  • , Christian Schlötterer
  • , Jessica K. Abbott
  • , Isabel Almudi
  • , Marta Coronado‐Zamora
  • , Esra Durmaz Mitchell
  • , Thomas Flatt
  • , Claudia Fricke
  • , Amanda Glaser‐Schmitt
  • , Josefa González
  • , Luke Holman
  • , Maaria Kankare
  • , Benedict Lenhart
  • , Dorcas J. Orengo
  • , Rhonda R. Snook
  • , Vera M. Yılmaz
  • , Leeban Yusuf
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

RNA sequencing (RNAseq) methodology has experienced a burst of technological developments in the last decade, which has opened up opportunities for studying the mechanisms of adaptation to environmental factors at both the organismal and cellular level. Selecting the most suitable experimental approach for specific research questions and model systems can, however, be a challenge and researchers in ecology and evolution are commonly faced with the choice of whether to study gene expression variation in whole bodies, specific tissues, and/or single cells. A wide range of sometimes polarised opinions exists over which approach is best. Here, we highlight the advantages and disadvantages of each of these approaches to provide a guide to help researchers make informed decisions and maximise the power of their study. Using illustrative examples of various ecological and evolutionary research questions, we guide the readers through the different RNAseq approaches and help them identify the most suitable design for their own projects.
Original languageEnglish
Article numbere17382
Pages (from-to)1-11
Number of pages11
JournalMolecular ecology
Volume34
Issue number15
Early online date10 Jun 2024
DOIs
Publication statusPublished - Aug 2025

Funding

The authors were assisted by a Special Topics Network (STN) grant from the European Society for Evolutionary Biology (ESEB) to facilitate networking of the European Population Genomics consortium (DrosEU; https://droseu.net/ ). SG and NP are supported by a Deutsche Forschungsgemeinschaft grant (GR 4495/4\u20101, PO 1648/7\u20101, PO 1648/4\u20101). MGR is supported by Natural Environment Research Council, UK (NE/V001566/1). CS is supported by the Austrian Science Funds (P32935, P33734, W1225). TF is supported by the Swiss National Science Foundation (310030_219283, FZEB\u20100\u2010214654, 31003A\u2010182262). JG is supported by grant PID2020\u2010115874GB\u2010I00 funded by MCIN/AEI/ 10.13039/501100011033 and from grant 2021 SGR 00417 funded by Departament de Recerca i Universitats, Generalitat de Catalunya. MK was supported by the grant 322980 from The Research Council of Finland. Drosophila

FundersFunder number
Ministerio de Ciencia e Innovación
Departament de Recerca i Universitats
Research Council of Finland
European Society for Evolutionary Biology
Generalitat de Catalunya322980
Deutsche ForschungsgemeinschaftPO 1648/4-1, PO 1648/7-1, GR 4495/4‐1
Austrian Science FundP33734, P32935, W1225
Agencia Estatal de Investigación2021 SGR 00417
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung31003A‐182262, MCIN/AEI/10.13039/501100011033, PID2020‐115874GB‐I00, 219283, 310030_219283, FZEB‐0‐214654
Natural Environment Research CouncilNE/V001566/1

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