Abstract
Knowledge in animal physiology has significantly advanced due to transcriptomics, a complementary tool to proteomics, and this is particularly relevant for farm animals. Transcriptomics aims to study the transcriptome, the complete set of coding (mRNAs) and noncoding (e.g., small RNAs) transcripts encoded by the genome in a specific spatiotemporal context. Various technologies, including hybridization and sequencing-based approaches, have been developed to infer and quantify the transcriptome changes.
Transcriptomics has become an option for many research studies in the main farmed animals, herein limited to bovines, pig, chicken, sheep, goat, and salmon. So far, the transcriptomic studies performed in these species have disclosed potential candidate genes associated with muscle growth, meat quality, lactation, reproduction efficiency, or response to diseases. Coupled to this, transcriptional and posttranscriptional regulatory mechanisms controlling the expression of these genes have been uncovered.
This chapter focuses on the recent contributions that transcriptomics has brought to improve our knowledge in farmed animal physiology. The current limitations associated with the application of this methodology, as well as the possible implications of using transcriptome data to develop new strategies to improve animal health, welfare, and production, are also discussed.
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Acknowledgments
The financial support from Fundação para a Ciência e a Tecnologia (F.C.T., Lisbon, Portugal) is acknowledged through research unit GREEN-it “Bioresources for Sustainability” (UID/Multi/04551/2013), SSA Post-Doctoral grant (SFRH/BPD/108032/2015), and also JRP Plants for Life PhD grant (PD/BD/113474/2015) within the scope of the PhD program Plants for Life (PD/00035/2013).
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Parreira, J.R., de Sousa Araújo, S. (2018). Studying the Animal Transcriptome: State of the Art and Challenges in the Context of Animal and Veterinary Sciences. In: de Almeida, A., Eckersall, D., Miller, I. (eds) Proteomics in Domestic Animals: from Farm to Systems Biology. Springer, Cham. https://doi.org/10.1007/978-3-319-69682-9_20
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