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Comparison of the pyloric caecum microbiota community structure between the wild and farmed Larimichthys crocea in Sansha Bay
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Yuting Zhang1, Ruirui Zhang1, Feifei Pan2, *, Youhao Pan2, Cong Li2, Hua Lin2, Shixi Chen3, Jingli Mu1, *
Haiyang Xuebao | 2024, 46(1) : 77 - 87
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Haiyang Xuebao | 2024, 46(1): 77-87
Comparison of the pyloric caecum microbiota community structure between the wild and farmed Larimichthys crocea in Sansha Bay
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Yuting Zhang1, Ruirui Zhang1, Feifei Pan2, *, Youhao Pan2, Cong Li2, Hua Lin2, Shixi Chen3, Jingli Mu1, *
Affiliations
  • 1. College of Geography and Oceanography, Minjiang University, Fuzhou 350108, China
  • 2. Fujian Fisheries Resources Monitoring Center, Fuzhou 350003, China
  • 3. College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
Published: 2024-01-31 doi: 10.12284/hyxb2024012
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The semienclosed pyloric caecum of Larimichthys crocea is an ideal organ to perform the host source tracking, as it containes several local bacteria colonized during early development. The alpha diversity, relative abundance of core bacteria and network relationship of the pyloric caecum microbiota in L. crocea from Sansha Bay were analyzed using the Illumina high-throughput sequencing. Furthermore, the random forest model was used to predict the population source (the wild population or the farmed population). The results showed that the farmed fish had more unique OUT and higher alpha diversity than the wild one. The wild and farmed fish significantly differed in the relative abundance of dominant bacteria (Proteobacteria, Firmicutes, Bacteroidota, Actinobacteria and Acidobacteria) (p < 0.05). The result of network analysis showed that the wild fish had higher ratio of negative to positive edges and modularity, but fewer nodes and edges than the farmed fish. Furthermore, a random forest classification prediction model with the accuracy of 92.31%, the Kappa coefficient of 0.8452, and an area under the ROC curve of 0.952 4 was constructed. Using this prediction model, the accuracy of source identification for the wild and farmed fish was 91.67% and 92.86%, respectively. Overall, the structure of microbial communities in the pyloric caecum of L. crocea was different between the wild and farmed populations, making it a potential marker for host source tracking. Our findings provide new insights into distinguishing wild and farmed L. crocea.

Larimichthys crocea  /  pyloric caecum microbiota  /  high throughput sequencing  /  random forest  /  reverse tracking
Yuting Zhang, Ruirui Zhang, Feifei Pan, Youhao Pan, Cong Li, Hua Lin, Shixi Chen, Jingli Mu. Comparison of the pyloric caecum microbiota community structure between the wild and farmed Larimichthys crocea in Sansha Bay[J]. Haiyang Xuebao, 2024 , 46 (1) : 77 -87 . DOI: 10.12284/hyxb2024012
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Year 2024 volume 46 Issue 1
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Article Info
doi: 10.12284/hyxb2024012
  • Receive Date：2023-07-12
  • Online Date：2025-11-25
  • Published：2024-01-31
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History
  • Received：2023-07-12
  • Revised：2023-10-09
Funding
Affiliations
    1. College of Geography and Oceanography, Minjiang University, Fuzhou 350108, China
    2. Fujian Fisheries Resources Monitoring Center, Fuzhou 350003, China
    3. College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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