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Li M, Liang H, Yang H, Ding Q, Xia R, Chen J, Zhou W, Yang Y, Zhang Z, Yao Y, Ran C, Zhou Z. Deciphering the gut microbiome of grass carp through multi-omics approach. Microbiome 2024; 12:2. [PMID: 38167330 PMCID: PMC10763231 DOI: 10.1186/s40168-023-01715-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 11/03/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Aquaculture plays an important role in global protein supplies and food security. The ban on antibiotics as feed additive proposes urgent need to develop alternatives. Gut microbiota plays important roles in the metabolism and immunity of fish and has the potential to give rise to novel solutions for challenges confronted by fish culture. However, our understanding of fish gut microbiome is still lacking. RESULTS We identified 575,856 non-redundant genes by metagenomic sequencing of the intestinal content samples of grass carp. Taxonomic and functional annotation of the gene catalogue revealed specificity of the gut microbiome of grass carp compared with mammals. Co-occurrence analysis indicated exclusive relations between the genera belonging to Proteobacteria and Fusobacteria/Firmicutes/Bacteroidetes, suggesting two independent ecological groups of the microbiota. The association pattern of Proteobacteria with the gene expression modules of fish gut and the liver was consistently opposite to that of Fusobacteria, Firmicutes, and Bacteroidetes, implying differential functionality of Proteobacteria and Fusobacteria/Firmicutes/Bacteroidetes. Therefore, the two ecological groups were considered as two functional groups, i.e., Functional Group 1: Proteobacteria and Functional Group 2: Fusobacteria/Firmicutes/Bacteroidetes. Further analysis revealed that the two functional groups differ in genetic capacity for carbohydrate utilization, virulence factors, and antibiotic resistance. Finally, we proposed that the ratio of "Functional Group 2/Functional Group 1" can be used as a biomarker that efficiently reflects the structural and functional characteristics of the microbiota of grass carp. CONCLUSIONS The gene catalogue is an important resource for investigating the gut microbiome of grass carp. Multi-omics analysis provides insights into functional implications of the main phyla that comprise the fish microbiota and shed lights on targets for microbiota regulation. Video Abstract.
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Affiliation(s)
- Ming Li
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hui Liang
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongwei Yang
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qianwen Ding
- Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Rui Xia
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jie Chen
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wenhao Zhou
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yalin Yang
- Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhen Zhang
- Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuanyuan Yao
- Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chao Ran
- Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Zhigang Zhou
- China-Norway Joint Lab On Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Abstract
BACKGROUND For many environments, biome-specific microbial gene catalogues are being recovered using shotgun metagenomics followed by assembly and gene calling on the assembled contigs. The assembly is typically conducted either by individually assembling each sample or by co-assembling reads from all the samples. The co-assembly approach can potentially recover genes that display too low abundance to be assembled from individual samples. On the other hand, combining samples increases the risk of mixing data from closely related strains, which can hamper the assembly process. In this respect, assembly on individual samples followed by clustering of (near) identical genes is preferable. Thus, both approaches have potential pros and cons, but it remains to be evaluated which assembly strategy is most effective. Here, we have evaluated three assembly strategies for generating gene catalogues from metagenomes using a dataset of 124 samples from the Baltic Sea: (1) assembly on individual samples followed by clustering of the resulting genes, (2) co-assembly on all samples, and (3) mix assembly, combining individual and co-assembly. RESULTS The mix-assembly approach resulted in a more extensive nonredundant gene set than the other approaches and with more genes predicted to be complete and that could be functionally annotated. The mix assembly consists of 67 million genes (Baltic Sea gene set, BAGS) that have been functionally and taxonomically annotated. The majority of the BAGS genes are dissimilar (< 95% amino acid identity) to the Tara Oceans gene dataset, and hence, BAGS represents a valuable resource for brackish water research. CONCLUSION The mix-assembly approach represents a feasible approach to increase the information obtained from metagenomic samples. Video abstract.
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Affiliation(s)
- Luis Fernando Delgado
- Department of Gene Technology, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Anders F Andersson
- Department of Gene Technology, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
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Santos-Júnior CD, Sarmento H, de Miranda FP, Henrique-Silva F, Logares R. Uncovering the genomic potential of the Amazon River microbiome to degrade rainforest organic matter. Microbiome 2020; 8:151. [PMID: 33126925 PMCID: PMC7597016 DOI: 10.1186/s40168-020-00930-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The Amazon River is one of the largest in the world and receives huge amounts of terrestrial organic matter (TeOM) from the surrounding rainforest. Despite this TeOM is typically recalcitrant (i.e. resistant to degradation), only a small fraction of it reaches the ocean, pointing to a substantial TeOM degradation by the river microbiome. Yet, microbial genes involved in TeOM degradation in the Amazon River were barely known. Here, we examined the Amazon River microbiome by analysing 106 metagenomes from 30 sampling points distributed along the river. RESULTS We constructed the Amazon River basin Microbial non-redundant Gene Catalogue (AMnrGC) that includes ~ 3.7 million non-redundant genes, affiliating mostly to bacteria. We found that the Amazon River microbiome contains a substantial gene-novelty compared to other relevant known environments (rivers and rainforest soil). Genes encoding for proteins potentially involved in lignin degradation pathways were correlated to tripartite tricarboxylates transporters and hemicellulose degradation machinery, pointing to a possible priming effect. Based on this, we propose a model on how the degradation of recalcitrant TeOM could be modulated by labile compounds in the Amazon River waters. Our results also suggest changes of the microbial community and its genomic potential along the river course. CONCLUSIONS Our work contributes to expand significantly our comprehension of the world's largest river microbiome and its potential metabolism related to TeOM degradation. Furthermore, the produced gene catalogue (AMnrGC) represents an important resource for future research in tropical rivers. Video abstract.
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Affiliation(s)
- Célio Dias Santos-Júnior
- Molecular Biology Laboratory, Department of Genetics and Evolution – DGE, Universidade Federal de São Carlos – UFSCar, Rod. Washington Luis KM 235 - Monjolinho, São Carlos, SP 13565-905 Brazil
- Institute of Science and Technology for Brain-Inspired Intelligence – ISTBI, Fudan University, Handan Rd 220, Wu Jiao Chang, Yangpu, Shanghai, 200433 China
| | - Hugo Sarmento
- Laboratory of Microbial Processes & Biodiversity, Department of Hydrobiology – DHB, Universidade Federal de São Carlos – UFSCar, Via Washington Luis KM 235 - Monjolinho, São Carlos, SP 13565-905 Brazil
| | - Fernando Pellon de Miranda
- Centro de Pesquisas e Desenvolvimento Leopoldo Américo Miguez de Mello, Petróleo Brasileiro S.A. (Petrobras), Av. Horácio Macedo 950, Rio de Janeiro, RJ 21941-915 Brazil
| | - Flávio Henrique-Silva
- Molecular Biology Laboratory, Department of Genetics and Evolution – DGE, Universidade Federal de São Carlos – UFSCar, Rod. Washington Luis KM 235 - Monjolinho, São Carlos, SP 13565-905 Brazil
| | - Ramiro Logares
- Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de la Barceloneta 37-49, ES08003, Barcelona, Catalonia Spain
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