Literature DB >> 32451652

Transcriptomic Response to Selective Breeding for Fast Growth in Rainbow Trout (Oncorhynchus mykiss).

Beth M Cleveland1, Guangtu Gao2, Timothy D Leeds2.   

Abstract

Genetic improvement for faster growth is a conventional approach to increase growth rates in aquaculture species; however, the genetic and physiological factors regulating growth performance in fish are not fully characterized. The objective of this study was to identify physiological mechanisms associated with faster growth rates by comparing the liver and muscle transcriptome of a rainbow trout line selectively bred for fast growth (growth line, GL) and a contemporary randomly mated control line (synthetic control, SC) from the same selective breeding program. A third genetic line from a commercial egg supplier (commercial A, CA) was also included to characterize differences in gene expression profiles between populations. Body weight of the GL at harvest was approximately 20% and 8% heavier (p < 0.05) than SC and CA, respectively. There were 145 and 36 differentially expressed genes (DEG) in liver and white muscle, respectively, between the GL and SC that were enriched for the growth hormone/insulin-like growth factor axis (GH/IGF) and PI3K-Akt, JAK-STAT, MAPK, and cAMP signal transduction pathways. A greater concentration of plasma IGF-I was detected in the GL compared with SC (p < 0.05). A unique gene profile was detected in CA, with 11 and 210 DEG in liver and white muscle; these genes associated with innate immunity, complement systems, and metabolic pathways. Collectively, these findings provide a more extensive characterization of the fast-growth phenotype in fish that furthers knowledge of the physiological basis for genetic variation in growth performance in selectively bred rainbow trout.

Entities:  

Keywords:  Functional genomics; RNA-seq; Rainbow trout; Selective breeding; Transcriptomics

Mesh:

Year:  2020        PMID: 32451652     DOI: 10.1007/s10126-020-09974-3

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  35 in total

Review 1.  Perspectives on concordant and discordant relations between insulin-like growth factor 1 (IGF1) and growth in fishes.

Authors:  Brian R Beckman
Journal:  Gen Comp Endocrinol       Date:  2010-08-26       Impact factor: 2.822

2.  IGF-I and insulin receptor signal transduction in trout muscle cells.

Authors:  Juan Castillo; Ina Ammendrup-Johnsen; Marta Codina; Isabel Navarro; Joaquim Gutiérrez
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2006-01-26       Impact factor: 3.619

3.  Growth hormone transgenesis in coho salmon disrupts muscle immune function impacting cross-talk with growth systems.

Authors:  Abdullah Alzaid; Jin-Hyoung Kim; Robert H Devlin; Samuel A M Martin; Daniel J Macqueen
Journal:  J Exp Biol       Date:  2018-07-04       Impact factor: 3.312

4.  Effects of insulin-like growth factor-I, insulin, and leucine on protein turnover and ubiquitin ligase expression in rainbow trout primary myocytes.

Authors:  Beth M Cleveland; Gregory M Weber
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-12-09       Impact factor: 3.619

5.  Metabolic and mitogenic effects of IGF-I and insulin on muscle cells of rainbow trout.

Authors:  Juan Castillo; Marta Codina; María Laura Martínez; Isabel Navarro; Joaquim Gutiérrez
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2004-01-29       Impact factor: 3.619

Review 6.  Role of IGF-I signaling in muscle bone interactions.

Authors:  Daniel D Bikle; Candice Tahimic; Wenhan Chang; Yongmei Wang; Anastassios Philippou; Elisabeth R Barton
Journal:  Bone       Date:  2015-11       Impact factor: 4.398

7.  Nutritional state modulates growth hormone-stimulated lipolysis.

Authors:  Heather E Bergan; Jeffrey D Kittilson; Mark A Sheridan
Journal:  Gen Comp Endocrinol       Date:  2015-05-06       Impact factor: 2.822

8.  PKC and ERK mediate GH-stimulated lipolysis.

Authors:  Heather E Bergan; Jeffrey D Kittilson; Mark A Sheridan
Journal:  J Mol Endocrinol       Date:  2013-07-29       Impact factor: 5.098

9.  A comparison of gene transcription profiles of domesticated and wild Atlantic salmon (Salmo salar L.) at early life stages, reared under controlled conditions.

Authors:  Beatrix Bicskei; James E Bron; Kevin A Glover; John B Taggart
Journal:  BMC Genomics       Date:  2014-10-09       Impact factor: 3.969

10.  Integrated analysis of lncRNA and mRNA expression in rainbow trout families showing variation in muscle growth and fillet quality traits.

Authors:  Ali Ali; Rafet Al-Tobasei; Brett Kenney; Timothy D Leeds; Mohamed Salem
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

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  4 in total

1.  Efficacy of Utilization of All-Plant-Based and Commercial Low-Fishmeal Feeds in Two Divergently Selected Strains of Rainbow Trout (Oncorhynchus mykiss): Focus on Growth Performance, Whole-Body Proximate Composition, and Intestinal Microbiome.

Authors:  Ilaria Biasato; Simona Rimoldi; Christian Caimi; Sara Bellezza Oddon; Giulia Chemello; Marino Prearo; Marco Saroglia; Ronald Hardy; Laura Gasco; Genciana Terova
Journal:  Front Physiol       Date:  2022-05-20       Impact factor: 4.755

2.  Increased accuracy of genomic predictions for growth under chronic thermal stress in rainbow trout by prioritizing variants from GWAS using imputed sequence data.

Authors:  Grazyella M Yoshida; José M Yáñez
Journal:  Evol Appl       Date:  2021-05-18       Impact factor: 4.929

3.  Replacing fish oil and astaxanthin by microalgal sources produced different metabolic responses in juvenile rainbow trout fed 2 types of practical diets.

Authors:  Shanli Zhu; Mark Portman; Beth M Cleveland; Andrew D Magnuson; Kun Wu; Wendy Sealey; Xin Gen Lei
Journal:  J Anim Sci       Date:  2021-01-01       Impact factor: 3.159

4.  Alternative migratory tactics in brown trout (Salmo trutta) are underpinned by divergent regulation of metabolic but not neurological genes.

Authors:  Robert Wynne; Louise C Archer; Stephen A Hutton; Luke Harman; Patrick Gargan; Peter A Moran; Eileen Dillane; Jamie Coughlan; Thomas F Cross; Philip McGinnity; Thomas J Colgan; Thomas E Reed
Journal:  Ecol Evol       Date:  2021-06-02       Impact factor: 2.912

  4 in total

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