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Kim K, Jinno C, Li X, Bravo D, Cox E, Ji P, Liu Y. Impact of an oligosaccharide-based polymer on the metabolic profiles and microbial ecology of weanling pigs experimentally infected with a pathogenic E. coli. J Anim Sci Biotechnol 2024; 15:1. [PMID: 38169416 PMCID: PMC10759389 DOI: 10.1186/s40104-023-00956-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/29/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Our previous study has reported that supplementation of oligosaccharide-based polymer enhances gut health and disease resistance of pigs infected with enterotoxigenic E. coli (ETEC) F18 in a manner similar to carbadox. The objective of this study was to investigate the impacts of oligosaccharide-based polymer or antibiotic on the host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC F18. RESULTS Multivariate analysis highlighted the differences in the metabolic profiles of serum and colon digesta which were predominantly found between pigs supplemented with oligosaccharide-based polymer and antibiotic. The relative abundance of metabolic markers of immune responses and nutrient metabolisms, such as amino acids and carbohydrates, were significantly differentiated between the oligosaccharide-based polymer and antibiotic groups (q < 0.2 and fold change > 2.0). In addition, pigs in antibiotic had a reduced (P < 0.05) relative abundance of Lachnospiraceae and Lactobacillaceae, whereas had greater (P < 0.05) Clostridiaceae and Streptococcaceae in the colon digesta on d 11 post-inoculation (PI) compared with d 5 PI. CONCLUSIONS The impact of oligosaccharide-based polymer on the metabolic and microbial profiles of pigs is not fully understood, and further exploration is needed. However, current research suggest that various mechanisms are involved in the enhanced disease resistance and performance in ETEC-challenged pigs by supplementing this polymer.
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Affiliation(s)
- Kwangwook Kim
- Department of Animal Science, University of California, Davis, CA, 95616, USA
- Present Affiliation: Department of Animal Science, Michigan State University, East Lansing, MI, 48824, USA
| | - Cynthia Jinno
- Department of Animal Science, University of California, Davis, CA, 95616, USA
- Present Affiliation: Cedars-Sinai Medical Center, Los Angeles, CA, 90084, USA
| | - Xunde Li
- School of Veterinary Medicine, University of California, Davis, CA, 95616, USA
| | - David Bravo
- Pancosma|ADM, 1180, Rolle, Switzerland
- Present Affiliation: Nutreco Exploration, Nutreco, The Netherlands
| | - Eric Cox
- Department of Virology, Parasitology and Immunology, Ghent University, 9000, Ghent, Belgium
| | - Peng Ji
- Department of Nutrition, University of California, Davis, CA, 95616, USA
| | - Yanhong Liu
- Department of Animal Science, University of California, Davis, CA, 95616, USA.
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Du J, Gan M, Xie Z, Du G, Luo Y, Liu B, Zhu K, Chen L, Zhao Y, Niu L, Wang Y, Wang J, Zhu L, Shen L. A Comparative Study on the Growth Performance and Gut Microbial Composition of Duroc and Yorkshire Boars. Genes (Basel) 2023; 14:1726. [PMID: 37761866 PMCID: PMC10531244 DOI: 10.3390/genes14091726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
The intestinal microbiota is required for maintaining the development and health of the host. However, the gut microbiota contributing to the regulation of the growth performance and health of Duroc and Yorkshire boars remains largely unknown. In this study, we first evaluated the difference in the growth performance between Duroc and Yorkshire boars when their body weight reached 100 kg. Relative to Duroc boars, Yorkshire boars weighed 100 kg at a younger age and exhibited a significantly lower backfat thickness and eye muscle area. Microbial analysis of the fecal samples revealed a marked difference in gut microbiota composition between the two pig models and remarkably increased α-diversity in Yorkshire boars compared to Duroc boars. Further analysis indicated that Bacteroidota, Prevotellaceae, and Ruminococcaceae might be associated with the growth performance and lean meat rate of Yorkshire boars. Taken together, these results highlight that Yorkshire boars exhibit a faster growth rate and higher lean meat rate compared to Duroc boars, and these differences may be attributed to the influence of the gut microbiota, thereby providing valuable insight into optimizing pig breeding systems and selecting terminal paternal sires to enhance overall productivity and quality.
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Affiliation(s)
- Junhua Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Mailin Gan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhongwei Xie
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Gao Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yi Luo
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Bin Liu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Kangping Zhu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Lei Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ye Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Niu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jingyong Wang
- Chongqing Academy of Animal Science, Chongqing 402460, China;
| | - Li Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Linyuan Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
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Chen W, Lv X, Cao X, Yuan Z, Wang S, Getachew T, Mwacharo JM, Haile A, Quan K, Li Y, Sun W. Integration of the Microbiome, Metabolome and Transcriptome Reveals Escherichia coli F17 Susceptibility of Sheep. Animals (Basel) 2023; 13:ani13061050. [PMID: 36978593 PMCID: PMC10044122 DOI: 10.3390/ani13061050] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/09/2023] [Accepted: 03/11/2023] [Indexed: 03/17/2023] Open
Abstract
Escherichia coli (E. coli) F17 is one of the most common pathogens causing diarrhea in farm livestock. In the previous study, we accessed the transcriptomic and microbiomic profile of E. coli F17-antagonism (AN) and -sensitive (SE) lambs; however, the biological mechanism underlying E. coli F17 infection has not been fully elucidated. Therefore, the present study first analyzed the metabolite data obtained with UHPLC-MS/MS. A total of 1957 metabolites were profiled in the present study, and 11 differential metabolites were identified between E. coli F17 AN and SE lambs (i.e., FAHFAs and propionylcarnitine). Functional enrichment analyses showed that most of the identified metabolites were related to the lipid metabolism. Then, we presented a machine-learning approach (Random Forest) to integrate the microbiome, metabolome and transcriptome data, which identified subsets of potential biomarkers for E. coli F17 infection (i.e., GlcADG 18:0-18:2, ethylmalonic acid and FBLIM1); furthermore, the PCCs were calculated and the interaction network was constructed to gain insight into the crosstalk between the genes, metabolites and bacteria in E. coli F17 AN/SE lambs. By combing classic statistical approaches and a machine-learning approach, our results revealed subsets of metabolites, genes and bacteria that could be potentially developed as candidate biomarkers for E. coli F17 infection in lambs.
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Affiliation(s)
- Weihao Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xiaoyang Lv
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Xiukai Cao
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Zehu Yuan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Shanhe Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Tesfaye Getachew
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia
| | - Joram M. Mwacharo
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia
| | - Aynalem Haile
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia
| | - Kai Quan
- College of Animal Science and Technology, Henan University of Animal Husbandry and Economics, Zhengzhou 450046, China
| | - Yutao Li
- CSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, QLD 4067, Australia
| | - Wei Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- “Innovative China” “Belt and Road” International Agricultural Technology Innovation Institute for Evaluation, Protection, and Improvement on Sheep Genetic Resource, Yangzhou 225009, China
- Correspondence: ; Tel.: +86-13952750912
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