Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Fish Transcriptomics: Applied to Our Understanding of Aquaculture

Version 1 : Received: 26 January 2020 / Approved: 28 January 2020 / Online: 28 January 2020 (05:10:55 CET)

How to cite: Heras, J. Fish Transcriptomics: Applied to Our Understanding of Aquaculture. Preprints 2020, 2020010332. https://doi.org/10.20944/preprints202001.0332.v1 Heras, J. Fish Transcriptomics: Applied to Our Understanding of Aquaculture. Preprints 2020, 2020010332. https://doi.org/10.20944/preprints202001.0332.v1

Abstract

New challenges arise in the face of global climate change which impact every ecosystem on earth, including aquatic systems. This is evident in observations made in regard to the world’s oceans, which show trends of incremental changes in ocean surface temperatures, sea levels, and ocean acidity. These environmental shifts impact human resources such as fisheries and aquaculture. In addition, according to the World Bank, the increase in human population will also require more food and nutrient production, which include industries such as aquaculture. With this increasing demand in aquaculture and fisheries, we must develop efficient and productive methods to operate these industries. We can use genetic methods, specifically transcriptomic information to better understand the biology of our source of nutrition. With the advent of RNASeq techniques, we can provide a better understanding about growth and development, immune function and stress, and adaptations. The use of population genetics or (genomics) to detect Single Nucleotide Polymorphisms (SNPs) between populations or closely related species can provide greater insight from stock structure to fishery-induced evolution. In addition, candidate loci can be investigated further to better understanding evolutionary processes, which provide clues on physiological adaptations and gene expression patterns that can help elucidate how these organisms respond to their current environment. In addition, the use of transcriptomic analyses such as differential gene expression can be used to determine resilience in various environmental conditions such as pollution, hypoxic/anoxic conditions, fluctuations in salinity, and temperature extremes. There has been an increase in transcriptomic studies for many aquaculture species, which has aimed at improving our understanding of growth, development, and metabolism, providing vital information for fisheries and aquaculture industries to make adjustments to environmental conditions such as oxygen availability, nutrition, and salinity. All of these aspects provide insightful information for advancing our knowledge of aquaculture, fisheries and conservation management.

Keywords

transcriptomics; aquaculture; genetics; next generation sequencing

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

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