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

Authors :
Hoedjes, Katja M.
Grath, Sonja
Posnien, Nico
Ritchie, Michael G.
Schlötterer, Christian
Abbott, Jessica K.
Almudi, Isabel
Coronado-Zamora, Marta
Mitchell, Esra Durmaz
Flatt, Thomas
Fricke, Claudia
Glaser-Schmitt, Amanda
González, Josefa
Holman, Luke
Kankare, Maaria
Lenhart, Benedict
Orengo, Dorcas J.
Snook, Rhonda R.
Yılmaz, Vera M.
Yusuf, Leeban
Hoedjes, Katja M.
Grath, Sonja
Posnien, Nico
Ritchie, Michael G.
Schlötterer, Christian
Abbott, Jessica K.
Almudi, Isabel
Coronado-Zamora, Marta
Mitchell, Esra Durmaz
Flatt, Thomas
Fricke, Claudia
Glaser-Schmitt, Amanda
González, Josefa
Holman, Luke
Kankare, Maaria
Lenhart, Benedict
Orengo, Dorcas J.
Snook, Rhonda R.
Yılmaz, Vera M.
Yusuf, Leeban
Publication Year :
2024

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1457483538
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1111.mec.17382