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Transcriptome analysis of large yellow croaker (Larimichthys crocea) at different growth rates.
Gao, Yang; Huang, Xuming; Liu, Yanli; Lv, Huirong; Yin, Xiaolong; Li, Weiye; Chu, Zhangjie.
  • Gao Y; Fishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China. avgy1982@hotmail.com.
  • Huang X; Fishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
  • Liu Y; Fishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
  • Lv H; Fishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
  • Yin X; Zhoushan Fisheries Research Institute, Zhoushan, China.
  • Li W; Zhoushan Fisheries Research Institute, Zhoushan, China.
  • Chu Z; Fishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
Fish Physiol Biochem ; 50(4): 1745-1757, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38842792
ABSTRACT
The unsynchronized growth of the large yellow croaker (Larimichthys crocea), which impacts growth efficiency, poses a challenge for aquaculture practitioners. In our study, juvenile stocks of large yellow croaker were sorted by size after being cultured in offshore cages for 4 months. Subsequently, individuals from both the fast-growing (FG) and slow-growing (SG) groups were sampled for analysis. High-throughput RNA-Seq was employed to identify genes and pathways that are differentially expressed during varying growth rates, which could suggest potential physiological mechanisms that influence growth rate. Our transcriptome analysis identified 382 differentially expressed genes (DEGs), comprising 145 upregulated and 237 downregulated genes in comparison to the SG group. GO and KEGG enrichment analyses indicated that these DEGs are predominantly involved in signal transduction and biochemical metabolic pathways. Quantitative PCR (qPCR) results demonstrated that cat, fasn, idh1, pgd, fgf19, igf2, and fads2 exhibited higher expression levels, whereas gadd45b and gadd45g showed lower expression compared to the slow-growing group. In conclusion, the differential growth rates of large yellow croaker are intricately associated with cellular proliferation, metabolic rates of the organism, and immune regulation. These findings offer novel insights into the molecular mechanisms and regulatory aspects of growth in large yellow croaker and enhance our understanding of growth-related genes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perciformes / Perfilación de la Expresión Génica / Transcriptoma Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perciformes / Perfilación de la Expresión Génica / Transcriptoma Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article