Volume 324, Issue 4
Review

Transcriptomics of developing embryos and organs: A raising tool for evo–devo

Sophie Pantalacci

Corresponding Author

Institut de Génomique Fonctionnelle de Lyon (IGFL), Université de Lyon, Université Lyon 1, CNRS, École Normale Supérieure de Lyon, Lyon, France

Correspondence to: Marie Sémon and Sophie Pantalacci, Institut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon, 46 Allée d'Italie, 69364 Lyon, France.

E‐mail: marie.semon@ens-lyon.fr, sophie.pantalacci@ens-lyon.fr

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Marie Sémon

Corresponding Author

Institut de Génomique Fonctionnelle de Lyon (IGFL), Université de Lyon, Université Lyon 1, CNRS, École Normale Supérieure de Lyon, Lyon, France

Correspondence to: Marie Sémon and Sophie Pantalacci, Institut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon, 46 Allée d'Italie, 69364 Lyon, France.

E‐mail: marie.semon@ens-lyon.fr, sophie.pantalacci@ens-lyon.fr

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First published: 11 November 2014
Citations: 21
Conflicts of interest: None.

ABSTRACT

Comparative transcriptomics has become an important tool for revisiting many evo–devo questions and exploring new ones, and its importance is likely to increase in the near future, partly because RNA‐seq data open many new possibilities. The aim of this opinion piece is twofold. In the first section, we discuss the particularities of transcriptomic studies in evo–devo, focusing mainly on RNA‐seq data. The preliminary processing steps (getting coding sequences as well as expression levels) are challenging, because many studied species do not have a sequenced genome. The next step (interpreting expression differences) is also challenging, due to several issues with interpreting expression levels in complex tissues, managing developmental stages and species heterochronies, and the problem of conceptualizing expression differences. In the second section, we discuss some past and possible future applications of transcriptomic approaches (using microarray or RNA‐seq) to three major themes in evo–devo: the evolution of the developmental toolkit, the genetic and developmental basis for phenotypic changes, and the general rules of the evolution of development. We believe that conceptual and technical tools are necessary in order to fully exploit the richness of multispecies transcriptomic time–series data. J. Exp. Zool. (Mol. Dev. Evol.) 324B: 363–371, 2015. © 2014 Wiley Periodicals, Inc.

Number of times cited according to CrossRef: 21

  • Gene expression trajectories during male and female reproductive development in balsam poplar (Populus balsamifera L.), Scientific Reports, 10.1038/s41598-020-64938-w, 10, 1, (2020).
  • RNA-Seq Analysis Reveals Hub Genes Involved in Chicken Intramuscular Fat and Abdominal Fat Deposition During Development, Frontiers in Genetics, 10.3389/fgene.2020.01009, 11, (2020).
  • Gene expression across mammalian organ development, Nature, 10.1038/s41586-019-1338-5, (2019).
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  • Avian transcriptomics: opportunities and challenges, Journal of Ornithology, 10.1007/s10336-018-1532-5, 159, 3, (599-629), (2018).
  • Perspectives and applications of machine learning for evolutionary developmental biology, Molecular Omics, 10.1039/C8MO00111A, 14, 5, (289-306), (2018).
  • Sex differentiation in grayling (Salmonidae) goes through an all-male stage and is delayed in genetic males who instead grow faster, Scientific Reports, 10.1038/s41598-017-14905-9, 7, 1, (2017).
  • Transcriptomic signatures shaped by cell proportions shed light on comparative developmental biology, Genome Biology, 10.1186/s13059-017-1157-7, 18, 1, (2017).
  • Selective Constraints on Coding Sequences of Nervous System Genes Are a Major Determinant of Duplicate Gene Retention in Vertebrates, Molecular Biology and Evolution, 10.1093/molbev/msx199, 34, 11, (2773-2791), (2017).
  • Comparative transcriptomics of elasmobranchs and teleosts highlight important processes in adaptive immunity and regional endothermy, BMC Genomics, 10.1186/s12864-016-3411-x, 18, 1, (2017).
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