<p>Genotypically identical large yellow croaker (LYC; <i>Larimichthys crocea</i>) individuals demonstrate growth variations even when cultured under similar environments, which severely restrict the development of LYC aquaculture. To determine the potential molecular determinants of these growth variations, we collected intestinal tissues and contents from fast-growing male and female LYCs (IWHMs and IWHFs, respectively) and slow-growing male and female LYCs (IWLMs and IWLFs, respectively) for comprehensive transcriptomic and metagenomic analyses. In transcriptomic analysis, <i>cyp7a1</i>, <i>arg1</i>, and <i>cxcr3.2</i> expressions were significantly higher in IWHM than in IWLM. Similarly, <i>cxcl13</i>, <i>cd40lg</i>, and <i>gdf9</i> expressions were significantly higher in IWHF than in IWLF. In pathway enrichment analysis, the cytokine-cytokine receptor interaction pathway was significantly enriched in all LYCs, suggesting its importance in growth regulation. Metagenomic analysis revealed microbial pattern differences between fast- and slow-growing LYCs. <i>Arthrobacter</i>_D spp. and <i>Microbacterium arborescens</i> were more abundant in fast- and slow-growing LYCs, respectively. Metabolic contribution analysis revealed that <i>Acinetobacter idrijaensis</i> contributed more to lipid and amino acid metabolism in IWHM than in IWLM (<i>P</i>&lt;0.05). However, IWHFs and IWLFs demonstrated the opposite trend. <i>Arthrobacter</i>_D spp. exhibited higher metabolic contribution in IWHMs and IWHFs. Next, we established a gut microbial community-transcriptional regulatory factor interaction network. Finally, we discovered that <i>Vibrio fortis</i>,<i> Vibrio rotiferianus</i>, and <i>Nocardia seriolae</i> may impair LYC growth by disrupting gut microbiota homeostasis. These findings revealed key host-microbiota interactions regulating LYC growth and offered practical targets for improving aquaculture productivity through microbiota modulation.</p>

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Host gene-intestinal microbiota interaction during growth of large yellow croaker (Larimichthys crocea)

  • Yuming Huang,
  • Hao Huang,
  • Zhenheng Cheng,
  • Yabing Wang,
  • Guangde Qiao,
  • Xiaoshan Wang,
  • Yanfeng Yue,
  • Quanxin Gao,
  • Shiming Peng

摘要

Genotypically identical large yellow croaker (LYC; Larimichthys crocea) individuals demonstrate growth variations even when cultured under similar environments, which severely restrict the development of LYC aquaculture. To determine the potential molecular determinants of these growth variations, we collected intestinal tissues and contents from fast-growing male and female LYCs (IWHMs and IWHFs, respectively) and slow-growing male and female LYCs (IWLMs and IWLFs, respectively) for comprehensive transcriptomic and metagenomic analyses. In transcriptomic analysis, cyp7a1, arg1, and cxcr3.2 expressions were significantly higher in IWHM than in IWLM. Similarly, cxcl13, cd40lg, and gdf9 expressions were significantly higher in IWHF than in IWLF. In pathway enrichment analysis, the cytokine-cytokine receptor interaction pathway was significantly enriched in all LYCs, suggesting its importance in growth regulation. Metagenomic analysis revealed microbial pattern differences between fast- and slow-growing LYCs. Arthrobacter_D spp. and Microbacterium arborescens were more abundant in fast- and slow-growing LYCs, respectively. Metabolic contribution analysis revealed that Acinetobacter idrijaensis contributed more to lipid and amino acid metabolism in IWHM than in IWLM (P<0.05). However, IWHFs and IWLFs demonstrated the opposite trend. Arthrobacter_D spp. exhibited higher metabolic contribution in IWHMs and IWHFs. Next, we established a gut microbial community-transcriptional regulatory factor interaction network. Finally, we discovered that Vibrio fortis, Vibrio rotiferianus, and Nocardia seriolae may impair LYC growth by disrupting gut microbiota homeostasis. These findings revealed key host-microbiota interactions regulating LYC growth and offered practical targets for improving aquaculture productivity through microbiota modulation.