Multi-omics dataset of individual variations in growth performance of large yellow croaker
Abstract Large yellow croaker (Larimichthys crocea) is a highly economically important marine fish species in China. However, substantial individual variations in growth performance have emerged as a limiting factor for the sustainable development of the large yellow croaker industry. Gut microbiota...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04429-7 |
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| author | Hao Huang Zhenheng Cheng Yabing Wang Guangde Qiao Xiaoshan Wang Yanfeng Yue Quanxin Gao Shiming Peng |
| author_facet | Hao Huang Zhenheng Cheng Yabing Wang Guangde Qiao Xiaoshan Wang Yanfeng Yue Quanxin Gao Shiming Peng |
| author_sort | Hao Huang |
| collection | DOAJ |
| description | Abstract Large yellow croaker (Larimichthys crocea) is a highly economically important marine fish species in China. However, substantial individual variations in growth performance have emerged as a limiting factor for the sustainable development of the large yellow croaker industry. Gut microbiota plays a crucial role in fish growth and development by regulating metabolic processes. To explore these dynamics, we employed metagenomics, transcriptomics, and untargeted metabolomics to comprehensively analyze the structure of the intestinal microbiome and its relationship with intestinal metabolism and host gene expression. We constructed association models for “gut microbiota–differentially expressed genes”, “differentially expressed genes–metabolites,” and “gut microbiota–metabolites.” Sequencing data and LC–MS/MS raw data have been deposited in NCBI and MetaboLights databases for public access. Our findings offer critical insights into the molecular mechanisms underlying growth variations in L. crocea and provide valuable data for the selective breeding of improved strains. |
| format | Article |
| id | doaj-art-821a85076fd442eca6ca07cac569423e |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-821a85076fd442eca6ca07cac569423e2025-01-19T12:09:41ZengNature PortfolioScientific Data2052-44632025-01-011211610.1038/s41597-025-04429-7Multi-omics dataset of individual variations in growth performance of large yellow croakerHao Huang0Zhenheng Cheng1Yabing Wang2Guangde Qiao3Xiaoshan Wang4Yanfeng Yue5Quanxin Gao6Shiming Peng7College of Life Science, Huzhou UniversityCollege of Life Science, Huzhou UniversityKey Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery SciencesKey Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery SciencesKey Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery SciencesKey Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery SciencesCollege of Life Science, Huzhou UniversityKey Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery SciencesAbstract Large yellow croaker (Larimichthys crocea) is a highly economically important marine fish species in China. However, substantial individual variations in growth performance have emerged as a limiting factor for the sustainable development of the large yellow croaker industry. Gut microbiota plays a crucial role in fish growth and development by regulating metabolic processes. To explore these dynamics, we employed metagenomics, transcriptomics, and untargeted metabolomics to comprehensively analyze the structure of the intestinal microbiome and its relationship with intestinal metabolism and host gene expression. We constructed association models for “gut microbiota–differentially expressed genes”, “differentially expressed genes–metabolites,” and “gut microbiota–metabolites.” Sequencing data and LC–MS/MS raw data have been deposited in NCBI and MetaboLights databases for public access. Our findings offer critical insights into the molecular mechanisms underlying growth variations in L. crocea and provide valuable data for the selective breeding of improved strains.https://doi.org/10.1038/s41597-025-04429-7 |
| spellingShingle | Hao Huang Zhenheng Cheng Yabing Wang Guangde Qiao Xiaoshan Wang Yanfeng Yue Quanxin Gao Shiming Peng Multi-omics dataset of individual variations in growth performance of large yellow croaker Scientific Data |
| title | Multi-omics dataset of individual variations in growth performance of large yellow croaker |
| title_full | Multi-omics dataset of individual variations in growth performance of large yellow croaker |
| title_fullStr | Multi-omics dataset of individual variations in growth performance of large yellow croaker |
| title_full_unstemmed | Multi-omics dataset of individual variations in growth performance of large yellow croaker |
| title_short | Multi-omics dataset of individual variations in growth performance of large yellow croaker |
| title_sort | multi omics dataset of individual variations in growth performance of large yellow croaker |
| url | https://doi.org/10.1038/s41597-025-04429-7 |
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