Transcriptome analysis of the growth performance of hybrid mandarin fish after food conversion

PLoS One. 2020 Oct 9;15(10):e0240308. doi: 10.1371/journal.pone.0240308. eCollection 2020.

Abstract

During recent years, China has become a hotspot for the domestication of mandarin fish, and this is of great commercial value. Although the food preference of domesticated mandarin fish has been studied, little is known about genes regulating their growth. We raised hybrid mandarin fish on artificial feed for 3 months, the results showed that the survival rate of hybrid mandarin fish was 60.00%. Their total length and body weight were 18.34 ±0.43 cm and 100.44 ±4.87 g. The absolute length and weight gain rates were 0.14 cm/d and 1.08 g/d, respectively. Finally, RNA sequencing (RNA-Seq) was performed to identify potential genes and pathways activated in response to growth performance. The transcriptome analysis generated 68, 197 transcripts and 45,871 unigenes. Among them, 1025 genes were up-regulated and 593 genes were down-regulated between the fast- and slow-growth fish. Finally, we obtained 32 differentially expressed genes, which were mainly related to fatty acid biosynthesis (e.g. FASN and ACACB), collecting duct acid secretion (e.g. ATP6E and KCC4), cell cycle (e.g. CDC20 and CCNB), and the insulin-like growth factor (IGF) system (IGFBP1). These pathways might be related to the growth of hybrid mandarin fish. In addition, more potential single nucleotide polymorphisms (SNPs) were detected in the fast-growth fish than in the slow-growth fish. The results suggest that the interaction of metabolism and abundant alleles might determine the growth of hybrid mandarin fish after food conversion.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animal Feed
  • Animals
  • Body Weight
  • China
  • Fish Proteins / genetics
  • Fisheries
  • Fishes / genetics
  • Fishes / growth & development*
  • Gene Expression Profiling / veterinary*
  • Gene Expression Regulation, Developmental
  • Gene Regulatory Networks*
  • High-Throughput Nucleotide Sequencing
  • Sequence Analysis, RNA

Substances

  • Fish Proteins

Grants and funding

This work was supported by the Youth Talent Development Plan of Shanghai Municipal Agricultural System, China (Grant No. 20180303), and the Shanghai Agriculture Applied Technology Development Program, China (Grant No.Z20170204). This funding body has no role in the design of the study, collection, analysis, interpretation of data or in writing the manuscript.