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Zhang J, Jiang Q, Du Z, Geng Y, Hu Y, Tong Q, Song Y, Zhang HY, Yan X, Feng Z. Knowledge graph-derived feed efficiency analysis via pig gut microbiota. Sci Rep 2024; 14:13939. [PMID: 38886444 PMCID: PMC11182767 DOI: 10.1038/s41598-024-64835-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
Feed efficiency (FE) is essential for pig production, has been reported to be partially explained by gut microbiota. Despite an extensive body of research literature to this topic, studies regarding the regulation of feed efficiency by gut microbiota remain fragmented and mostly confined to disorganized or semi-structured unrestricted texts. Meanwhile, structured databases for microbiota analysis are available, yet they often lack a comprehensive understanding of the associated biological processes. Therefore, we have devised an approach to construct a comprehensive knowledge graph by combining unstructured textual intelligence with structured database information and applied it to investigate the relationship between pig gut microbes and FE. Firstly, we created the pgmReading knowledge base and the domain ontology of pig gut microbiota by annotating, extracting, and integrating semantic information from 157 scientific publications. Secondly, we created the pgmPubtator by utilizing PubTator to expand the semantic information related to microbiota. Thirdly, we created the pgmDatabase by mapping and combining the ADDAGMA, gutMGene, and KEGG databases based on the ontology. These three knowledge bases were integrated to form the Pig Gut Microbial Knowledge Graph (PGMKG). Additionally, we created five biological query cases to validate the performance of PGMKG. These cases not only allow us to identify microbes with the most significant impact on FE but also provide insights into the metabolites produced by these microbes and the associated metabolic pathways. This study introduces PGMKG, mapping key microbes in pig feed efficiency and guiding microbiota-targeted optimization.
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Affiliation(s)
- Junmei Zhang
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qin Jiang
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
- Yazhouwan National Laboratory (YNL), Sanya, 572025, China
| | - Zhihong Du
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yilin Geng
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuren Hu
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qichang Tong
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yunfeng Song
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Hong-Yu Zhang
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xianghua Yan
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zaiwen Feng
- National Key Laboratory of Agricultural Microbiology, College of Informatics, College of Animal Sciences and Technology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China.
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Barducci RS, Santos AAD, Pacheco LG, Putarov TC, Koch JFA, Callegari MA, Dias CP, de Carvalho RH, da Silva CA. Enhancing Weaned Piglet Health and Performance: The Role of Autolyzed Yeast ( Saccharomyces cerevisiae) and β-Glucans as a Blood Plasma Alternative in Diets. Animals (Basel) 2024; 14:631. [PMID: 38396599 PMCID: PMC10886371 DOI: 10.3390/ani14040631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/23/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
The objective of this study was to evaluate the inclusion of the autolyzed yeast (AY) Saccharomyces cerevisiae with or without an immunomodulator (1,3/1,6 β-glucans) as a total/partial substitute for blood plasma (BP) in the diet of post-weaning piglets; zootechnical performance, intestinal health and microbiota, immune responses and energy metabolism were assessed. A total of 240 castrated male and female piglets, with a mean age of 22 days and mean initial weight of 5.24 ± 0.82 kg, were randomly divided into blocks of four treatments with 12 replicates. The dietary inclusions were blood plasma (BP), autolyzed yeast (AY), autolyzed yeast + immunomodulator (AYI) and 50% BP and 50% AY (BPAY). In pre-initial phase II (29-35 days), piglets fed AY showed better feed conversion (FCR = 1.358) than the piglets in the BP (1.484), AYI (1.379) and BPAY (1.442) groups, i.e., 8.49% (0.126), 1.52% (0.021) and 4.50% (0.084), respectively (p = 0.0293). In the total period (21-42 days), better FCR was observed in the AYI (1.458) group, i.e., 4.64% (0.071), 1.15% (0.017) and 4.58% (0.070), than in the BP (1.529), AY (1.475) and BPAY (1.528) groups, respectively (p = 0.0150). In piglets fed AY (n = 3) and BPAY (n = 2), there was a reduction in the number of medications, i.e., 82.35% (-14n) and 88.23% (-15n), respectively (p = 0.0001), compared with that in the BP group (n = 17). In the AY group (73.83 mg/dL), AYI group (69.92 mg/dL), and BPAY group (69.58 mg/dL), piglets exhibited increases in triglyceride levels of 79.32%, 69.83%, and 69.00%, respectively, in comparison to those in the BP group, which had triglyceride levels of 41.17 mg/dL (p = 0.0400). The beta-hydroxybutyrate concentration in the AY group (79.96 ng/μL) was lower by 31.95%, 22.64%, and 5.89% compared to the BP group (117.50 ng/μL), AYI group (103.36 ng/μL), and BPAY group (84.67 ng/μL), respectively (p = 0.0072). In the AYI group, there was modulation of the microbiota, with an increase in the relative abundance of bacteria of the genera Lactobacillus, Collinsella and Bulleidia. AY, associated or not associated with an immunomodulator, is a potential substitute for BP in diets for piglets in the nursery phase, with positive effects on immune, metabolic, and intestinal microbial performance.
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Affiliation(s)
- Robson Sfaciotti Barducci
- Biorigin, Lençóis Paulista 18680-900, SP, Brazil; (R.S.B.); (A.A.D.S.); (L.G.P.); (T.C.P.); (J.F.A.K.)
| | | | - Leticia Graziele Pacheco
- Biorigin, Lençóis Paulista 18680-900, SP, Brazil; (R.S.B.); (A.A.D.S.); (L.G.P.); (T.C.P.); (J.F.A.K.)
| | - Thaila Cristina Putarov
- Biorigin, Lençóis Paulista 18680-900, SP, Brazil; (R.S.B.); (A.A.D.S.); (L.G.P.); (T.C.P.); (J.F.A.K.)
| | - João Fernando Albers Koch
- Biorigin, Lençóis Paulista 18680-900, SP, Brazil; (R.S.B.); (A.A.D.S.); (L.G.P.); (T.C.P.); (J.F.A.K.)
| | | | | | - Rafael Humberto de Carvalho
- Akei Animal Research, Fartura 18870-970, SP, Brazil; (M.A.C.); (C.P.D.); (R.H.d.C.)
- Animal Science Program, Center of Agrarian Sciences, State University of Londrina, Londrina 86057-970, PR, Brazil
| | - Caio Abércio da Silva
- Animal Science Program, Center of Agrarian Sciences, State University of Londrina, Londrina 86057-970, PR, Brazil
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3
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Sebastià C, Folch JM, Ballester M, Estellé J, Passols M, Muñoz M, García-Casco JM, Fernández AI, Castelló A, Sánchez A, Crespo-Piazuelo D. Interrelation between gut microbiota, SCFA, and fatty acid composition in pigs. mSystems 2024; 9:e0104923. [PMID: 38095419 PMCID: PMC10804976 DOI: 10.1128/msystems.01049-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/06/2023] [Indexed: 01/24/2024] Open
Abstract
The gut microbiota is a key player in the host metabolism. Some bacteria are able to ferment non-digestible compounds and produce short-chain fatty acids that the host can later transform and accumulate in tissue. In this study, we aimed to better understand the relationships between the microorganisms and the short-chain fatty acid composition of the rectal content, including the possible linkage with the fatty acid composition in backfat and muscle of the pig. We studied a Duroc × Iberian crossbred population, and we found significant correlations between different bacterial and archaeal genera and the fatty acid profile. The abundance of n-butyric acid in the rectal content was positively associated with Prevotella spp. and negatively associated with Akkermansia spp., while conversely, the abundance of acetic acid was negatively and positively associated with the levels of Prevotella spp. and Akkermansia spp., respectively. The most abundant genus, Rikenellaceae RC9 gut group, had a positive correlation with palmitic acid in muscle and negative correlations with stearic acid in backfat and oleic acid in muscle. These results suggest the possible role of Prevotella spp. and Akkermansia spp. as biomarkers for acetic and n-butyric acids, and the relationship of Rikenellaceae RC9 gut group with the lipid metabolism, building up the potential, although indirect, role of the microbiota in the modification of the backfat and muscle fatty acid composition of the host.IMPORTANCEThe vital role of the gut microbiota on its host metabolism makes it essential to know how its modulation is mirrored on the fatty acid composition of the host. Our findings suggest Prevotella spp. and Akkermansia spp. as potential biomarkers for the levels of beneficial short-chain fatty acids and the possible influence of Rikenellaceae RC9 gut group in the backfat and muscle fatty acid composition of the pig.
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Affiliation(s)
- Cristina Sebastià
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Josep M. Folch
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Maria Ballester
- Departament de Genètica i Millora Animal, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, Spain
| | - Jordi Estellé
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Magí Passols
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
| | - María Muñoz
- Departamento de Mejora Genética Animal, INIA-CSIC, Madrid, Spain
| | | | - Ana I. Fernández
- Departamento de Mejora Genética Animal, INIA-CSIC, Madrid, Spain
| | - Anna Castelló
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Armand Sánchez
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Daniel Crespo-Piazuelo
- Departament de Genètica i Millora Animal, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, Spain
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Dong W, Ricker N, Holman DB, Johnson TA. Meta-analysis reveals the predictable dynamic development of the gut microbiota in commercial pigs. Microbiol Spectr 2023; 11:e0172223. [PMID: 37815394 PMCID: PMC10715009 DOI: 10.1128/spectrum.01722-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/24/2023] [Indexed: 10/11/2023] Open
Abstract
IMPORTANCE The swine gut microbiome undergoes an age-dependent assembly pattern with a developmental phase at early ages and a stabilization phase at later ages. Shorter time intervals and a wider range of data sources provided a clearer understanding of the gut microbiota colonization and succession and their associations with pig growth and development. The rapidly changing microbiota of suckling and weaning pigs implies potential time targets for growth and health regulation through gut microbiota manipulation. Since swine gut microbiota development is predictable, swine microbiota age can be calculated and compared between animal treatment groups rather than relying only on static time-matched comparisons.
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Affiliation(s)
- Wenxuan Dong
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Nicole Ricker
- Department of Pathobiology, University of Guelph, Guelph, Ontario, Canada
| | - Devin B. Holman
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, Alberta, Canada
| | - Timothy A. Johnson
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA
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Collins A, Bowring B. Pre-Treatment with Bromelain Prevents Intestinal Dysbiosis in Pigs with Post-Weaning Diarrhea, without Increasing Antimicrobial Resistance in Escherichia coli. Animals (Basel) 2023; 13:3229. [PMID: 37893953 PMCID: PMC10603644 DOI: 10.3390/ani13203229] [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: 07/21/2023] [Revised: 10/11/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
Pigs are especially vulnerable to intestinal pathogens and dysbiosis in the first two weeks after weaning. Infection with enterotoxigenic strains of Escherichia coli (ETEC) in combination with poor nutrition and hygiene can lead to diarrhea, poor growth and increased mortality. While neomycin and zinc oxide can prevent post-weaning diarrhea (PWD), their broad-spectrum activity also kills commensal microbiota and can lead to the emergence of heavy metal and antimicrobial resistance. Bromelain prevents attachment of F4 ETEC to intestinal enterocytes by cleaving the host receptor. In controlled environmental facilities, weaned pigs treated with either therapeutic levels of neomycin sulfate, zinc oxide, bromelain or non-treated were monitored for diarrhea, weight gain, feed intake, feed efficiency, excretion of F4 ETEC, changes to their intestinal microbiomes and antimicrobial resistance in E. coli. The treatment effects were evaluated at weaning, during two weeks of treatment and for three weeks after treatments ceased. Minimal clinical signs of PWD were observed, except in zinc-treated pigs post treatment. Intestinal dysbiosis was observed in response to diarrhea and in pigs treated with both neomycin and zinc. Antimicrobial resistance increased in commensal E. coli isolated from neomycin- and zinc-treated pigs. In contrast, bromelain controlled PWD and prevented intestinal dysbiosis without inducing antimicrobial resistance.
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Affiliation(s)
- Alison Collins
- New South Wales Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, NSW 2568, Australia
| | - Bethany Bowring
- Centre for Infectious Diseases and Microbiology, the Westmead Institute for Medical Research, Sydney, NSW 2145, Australia;
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He H, Yang M, Li W, Lu Z, Wang Y, Jin M. Fecal microbial and metabolic characteristics of swine from birth to market. Front Microbiol 2023; 14:1191392. [PMID: 37789849 PMCID: PMC10543884 DOI: 10.3389/fmicb.2023.1191392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/31/2023] [Indexed: 10/05/2023] Open
Abstract
Introduction Recently, the research on pig intestinal microbiota has become a hot topic in the field of animal husbandry. There are few articles describing the dynamic changes of porcine fecal microbiota and metabolites at different time points from birth to market. Methods In the present study, 381 fecal samples were collected from 633 commercial pigs at 7 time points, including the 1st day, the 10th day, the 25th day, the 45th day, the 70th day, the 120th day, and the 180th day after the birth of swine, were used for microbiome analysis by Illumina MiSeq sequencing methods while 131 fecal samples from 3 time points, the 10th day, the 25th day, and 70th day after birth, were used for metabolome analysis by LC-MS methods. Results For the microbiome analysis, the fecal microbial richness increased over time from day 1 to 180 and the β-diversity of fecal microbiota was separated significantly at different time points. Firmicutes were the main phyla from day 10 to 180, followed by Bacteroides. The abundance of Lactobacillus increased significantly on day 120 compared with the previous 4 time points. From day 120 to day 180, the main porcine fecal microbes were Lactobacillus, Clostridium_sensu_stricto_1, Terrisporobacter and Streptococcus. Clostridium_sensu_stricto_1 and Terrisporobacter increased over time, while Lactobacillus, Escherichia-Shigella, Lachnoclostridium decreased with the time according to the heatmap, which showed the increase or decrease in microbial abundance over time. For the metabolome analysis, the PLS-DA plot could clearly distinguish porcine fecal metabolites on day 10, 25, and 70. The most different metabolic pathways of the 3 time points were Tryptophan metabolism, Sphingolipid signaling pathway, Protein digestion and absorption. Some metabolites increased significantly over time, such as Sucrose, L-Arginine, Indole, 2,3-Pyridinedicarboxylic acid and so on, while D-Maltose, L-2-Aminoadipic acid, 2,6-diaminohexanoic acid, L-Proline were opposite. The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway. Discussion In conclusion, this study elucidated the dynamic changes of porcine fecal microbiota and metabolites at different stages from birth to market, which may provide a reference for a comprehensive understanding of the intestinal health status of pigs at different growth stages.
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Affiliation(s)
- Huan He
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Mingzhi Yang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Wentao Li
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zeqing Lu
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yizhen Wang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Mingliang Jin
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China
- National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- College of Animal Sciences, Institute of Feed Science, Zhejiang University, Hangzhou, Zhejiang, China
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Ramayo-Caldas Y, Crespo-Piazuelo D, Morata J, González-Rodríguez O, Sebastià C, Castello A, Dalmau A, Ramos-Onsins S, Alexiou KG, Folch JM, Quintanilla R, Ballester M. Copy Number Variation on ABCC2-DNMBP Loci Affects the Diversity and Composition of the Fecal Microbiota in Pigs. Microbiol Spectr 2023; 11:e0527122. [PMID: 37255458 PMCID: PMC10433821 DOI: 10.1128/spectrum.05271-22] [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: 01/05/2023] [Accepted: 05/16/2023] [Indexed: 06/01/2023] Open
Abstract
Genetic variation in the pig genome partially modulates the composition of porcine gut microbial communities. Previous studies have been focused on the association between single nucleotide polymorphisms (SNPs) and the gut microbiota, but little is known about the relationship between structural variants and fecal microbial traits. The main goal of this study was to explore the association between porcine genome copy number variants (CNVs) and the diversity and composition of pig fecal microbiota. For this purpose, we used whole-genome sequencing data to undertake a comprehensive identification of CNVs followed by a genome-wide association analysis between the estimated CNV status and the fecal bacterial diversity in a commercial Duroc pig population. A CNV predicted as gain (DUP) partially harboring ABCC2-DNMBP loci was associated with richness (P = 5.41 × 10-5, false discovery rate [FDR] = 0.022) and Shannon α-diversity (P = 1.42 × 10-4, FDR = 0.057). The in silico predicted gain of copies was validated by real-time quantitative PCR (qPCR), and its segregation, and positive association with the richness and Shannon α-diversity of the porcine fecal bacterial ecosystem was confirmed in an unrelated F1 (Duroc × Iberian) cross. Our results advise the relevance of considering the role of host-genome structural variants as potential modulators of microbial ecosystems and suggest the ABCC2-DNMBP CNV as a host-genetic factor for the modulation of the diversity and composition of the fecal microbiota in pigs. IMPORTANCE A better understanding of the environmental and host factors modulating gut microbiomes is a topic of greatest interest. Recent evidence suggests that genetic variation in the pig genome partially controls the composition of porcine gut microbiota. However, since previous studies have been focused on the association between single nucleotide polymorphisms and the fecal microbiota, little is known about the relationship between other sources of genetic variation, like the structural variants and microbial traits. Here, we identified, experimentally validated, and replicated in an independent population a positive link between the gain of copies of ABCC2-DNMBP loci and the diversity and composition of pig fecal microbiota. Our results advise the relevance of considering the role of host-genome structural variants as putative modulators of microbial ecosystems and open the possibility of implementing novel holobiont-based management strategies in breeding programs for the simultaneous improvement of microbial traits and host performance.
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Affiliation(s)
- Yuliaxis Ramayo-Caldas
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology, Caldes de Montbui, Spain
| | - Daniel Crespo-Piazuelo
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology, Caldes de Montbui, Spain
| | - Jordi Morata
- Centro Nacional de Análisis Genómico, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Olga González-Rodríguez
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology, Caldes de Montbui, Spain
| | - Cristina Sebastià
- Plant and Animal Genomics Program, Centre for Research in Agricultural Genomics, Consejo Superior de Investigaciones Científicas (CSIC)-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-UB, Bellaterra, Spain
- Animal and Food Science Department, Autonomous University of Barcelona, Bellaterra, Spain
| | - Anna Castello
- Plant and Animal Genomics Program, Centre for Research in Agricultural Genomics, Consejo Superior de Investigaciones Científicas (CSIC)-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-UB, Bellaterra, Spain
- Animal and Food Science Department, Autonomous University of Barcelona, Bellaterra, Spain
| | - Antoni Dalmau
- Animal Welfare Program, Institute of Agrifood Research and Technology, Girona, Spain
| | - Sebastian Ramos-Onsins
- Plant and Animal Genomics Program, Centre for Research in Agricultural Genomics, Consejo Superior de Investigaciones Científicas (CSIC)-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-UB, Bellaterra, Spain
| | - Konstantinos G. Alexiou
- Plant and Animal Genomics Program, Centre for Research in Agricultural Genomics, Consejo Superior de Investigaciones Científicas (CSIC)-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-UB, Bellaterra, Spain
| | - Josep M. Folch
- Plant and Animal Genomics Program, Centre for Research in Agricultural Genomics, Consejo Superior de Investigaciones Científicas (CSIC)-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-UB, Bellaterra, Spain
- Animal and Food Science Department, Autonomous University of Barcelona, Bellaterra, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology, Caldes de Montbui, Spain
| | - Maria Ballester
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology, Caldes de Montbui, Spain
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8
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Li C, Zhao X, Zhao G, Xue H, Wang Y, Ren Y, Li J, Wang H, Wang J, Song Q. Comparative Analysis of Structural Composition and Function of Intestinal Microbiota between Chinese Indigenous Laiwu Pigs and Commercial DLY Pigs. Vet Sci 2023; 10:524. [PMID: 37624311 PMCID: PMC10458769 DOI: 10.3390/vetsci10080524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/12/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
Intestinal microbiota has an important impact on pig phenotypes. Previous studies mainly focused on the microbiota of feces and worldwide farmed commercial pigs, while research on the microbiota of various intestinal sections and indigenous pig breeds is very limited. This study aimed to characterize and compare the biogeography of intestinal microbiota in pigs of one Chinese indigenous breed and one commercial crossbred. In this study, we sequenced the microbiota of six intestinal segments in the grown-up pigs of a Chinese indigenous breed, Laiwu pigs, and the worldwide farmed crossbred Duroc × Landrace × Yorkshire (DLY) pigs by 16S rRNA sequencing, characterized the biogeography of intestinal microbiota, and compared the compositional and functional differences between the two breeds. The results showed that there were obvious differences in microbial structure and abundance between the small and large intestines. Laiwu pigs had higher large intestinal diversity than DLY pigs, while DLY pigs had higher small intestinal diversity than Laiwu pigs. Moreover, some specific bacterial taxa and Kyoto Encyclopedia of Genes and Genomes pathways were found to be related to the high fat deposition and good meat quality of Laiwu pigs and the high growth speed and lean meat rate of DLY pigs. This study provides an insight into the shifts in taxonomic composition, microbial diversity, and functional profile of intestinal microbiota in six intestinal segments of Laiwu and DLY pigs, which would be essential for exploring the potential influence of the host's genetic background on variation in microbiota composition and diversity.
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Affiliation(s)
- Chao Li
- Hebei Veterinary Biotechnology Innovation Center, College of Veterinary Medicine, Hebei Agricultural University, Baoding 071000, China;
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Xueyan Zhao
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Guisheng Zhao
- Jinan Animal Husbandry Technology Promotion Station, Jinan 250100, China
| | - Haipeng Xue
- Jinan Animal Husbandry Technology Promotion Station, Jinan 250100, China
| | - Yanping Wang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Yifan Ren
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Jingxuan Li
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Huaizhong Wang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Jiying Wang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Jinan 250100, China
| | - Qinye Song
- Hebei Veterinary Biotechnology Innovation Center, College of Veterinary Medicine, Hebei Agricultural University, Baoding 071000, China;
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9
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Rutjens S, Vereecke N, Sauer J, Croubels S, Devreese M. Cefquinome shows a higher impact on the pig gut microbiome and resistome compared to ceftiofur. Vet Res 2023; 54:45. [PMID: 37280708 DOI: 10.1186/s13567-023-01176-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/10/2023] [Indexed: 06/08/2023] Open
Abstract
Cephalosporins are licensed for treatment of severe bacterial infections in different species. However, the effect of these antimicrobials on the fecal microbiome and potential spread of resistance-associated genes causes great concern. This highlights the need to understand the impact of cephalosporins on the porcine fecal microbiome and resistome. A combination of long-read 16S rRNA gene and shotgun metagenomic sequencing was applied to investigate the effect of conventional treatment with either ceftiofur (3 mg.kg-1 intramuscular, 3 consecutive days) or cefquinome (2 mg.kg-1 intramuscular, 5 consecutive days) on the porcine microbiome and resistome. Fecal samples were collected from 17 pigs (6 ceftiofur treated, 6 cefquinome treated, 5 control pigs) at four different timepoints. Treatment with ceftiofur resulted in an increase in Proteobacteria members on microbiome level, while on resistome level selection in TetQ containing Bacteroides, CfxA6 containing Prevotella and blaTEM-1 containing Escherichia coli was observed. Cefquinome treatment resulted in a decline in overall species richness (α-diversity) and increase in Proteobacteria members. On genus level, administration of cefquinome significantly affected more genera than ceftiofur (18 vs 8). On resistome level, cefquinome resulted in a significant increase of six antimicrobial resistance genes, with no clear correlation with certain genera. For both antimicrobials, the resistome levels returned back to the control levels 21 days post-treatment. Overall, our study provides novel insights on the effect of specific cephalosporins on the porcine gut microbiome and resistome after conventional intramuscular treatment. These results might contribute to better tailoring of the most ideal treatment strategy for some bacterial infections.
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Affiliation(s)
- Sofie Rutjens
- Department of Pathobiology, Pharmacology and Zoological Medicine, Laboratory of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ghent University, 9820, Merelbeke, Belgium
| | - Nick Vereecke
- PathoSense BV, 2500, Lier, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, 9820, Merelbeke, Belgium
| | | | - Siska Croubels
- Department of Pathobiology, Pharmacology and Zoological Medicine, Laboratory of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ghent University, 9820, Merelbeke, Belgium
| | - Mathias Devreese
- Department of Pathobiology, Pharmacology and Zoological Medicine, Laboratory of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Ghent University, 9820, Merelbeke, Belgium.
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10
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Tapio M, Fischer D, Mäntysaari P, Tapio I. Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows. Microorganisms 2023; 11:1116. [PMID: 37317090 DOI: 10.3390/microorganisms11051116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/17/2023] [Accepted: 04/23/2023] [Indexed: 06/16/2023] Open
Abstract
Efficient feed utilization in dairy cows is crucial for economic and environmental reasons. The rumen microbiota plays a significant role in feed efficiency, but studies utilizing microbial data to predict host phenotype are limited. In this study, 87 primiparous Nordic Red dairy cows were ranked for feed efficiency during their early lactation based on residual energy intake, and the rumen liquid microbial ecosystem was subsequently evaluated using 16S rRNA amplicon and metagenome sequencing. The study used amplicon data to build an extreme gradient boosting model, demonstrating that taxonomic microbial variation can predict efficiency (rtest = 0.55). Prediction interpreters and microbial network revealed that predictions were based on microbial consortia and the efficient animals had more of the highly interacting microbes and consortia. Rumen metagenome data was used to evaluate carbohydrate-active enzymes and metabolic pathway differences between efficiency phenotypes. The study showed that an efficient rumen had a higher abundance of glycoside hydrolases, while an inefficient rumen had more glycosyl transferases. Enrichment of metabolic pathways was observed in the inefficient group, while efficient animals emphasized bacterial environmental sensing and motility over microbial growth. The results suggest that inter-kingdom interactions should be further analyzed to understand their association with the feed efficiency of animals.
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Affiliation(s)
- Miika Tapio
- Genomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Daniel Fischer
- Applied Statistical Methods, Natural Resources, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Päivi Mäntysaari
- Animal Nutrition, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Ilma Tapio
- Genomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
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11
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Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs. Sci Rep 2022; 12:21946. [PMID: 36536008 PMCID: PMC9763391 DOI: 10.1038/s41598-022-26496-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Improvement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production. The goal of finding biomarkers for FE has persisted for decades. However, due to the complexity of the FE trait, these goals have still not been met. Here, we search for quantitative trait loci (QTL), candidate genes, and biological pathways associated with FE using both genotype and RNA-seq data. We obtained genotype and colon epithelium RNA-seq data for 375 and 96 pigs, respectively. In total, a genome-wide association study (GWAS) and differential expression (DE) analysis led to detection of three QTL on SSC9 and 17 DE-genes associated with FE. Possible intersection points between genes located in QTL and DE-genes were found on levels of transcription factor-target interaction. Moreover, cis-eQTL analysis revealed associations between genotype and expression levels of three DE-genes and three genes located in the GWAS QTLs, which may establish the connection between genotype and phenotype through DE. Finally, single nucleotide polymorphism calling using RNA-seq data for genes located in GWAS QTLs revealed 53 polymorphisms of which eleven were missense variants.
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12
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Mora M, Velasco-Galilea M, Sánchez JP, Ramayo-Caldas Y, Piles M. Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models. Genet Sel Evol 2022; 54:81. [PMID: 36536288 PMCID: PMC9762025 DOI: 10.1186/s12711-022-00770-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term "effect" carries a causal meaning that can be confounded because of potential genetic associations between the microbiome and production traits. Structural equation models (SEM) can help disentangle such a complex interplay by decomposing the effect on a production trait into direct host genetics effects and indirect host genetic effects that are exerted through microbiota effects. These indirect effects can be estimated via structural coefficients that measure the effect of the microbiota on growth while the effects of the host genetics are kept constant. In this study, we applied the SEM approach to infer causal relationships between the cecal microbiota and growth of rabbits fed under ad libitum (ADGAL) or restricted feeding (ADGR). RESULTS We identified structural coefficients that are statistically different from 0 for 138 of the 946 operational taxonomic units (OTU) analyzed. However, only 15 and 38 of these 138 OTU had an effect greater than 0.2 phenotypic standard deviations (SD) on ADGAL and ADGR, respectively. Many of these OTU had a negative effect on both traits. The largest effects on ADGR were exerted by an OTU that is taxonomically assigned to the Desulfovibrio genus (- 1.929 g/d, CSS-normalized OTU units) and by an OTU that belongs to the Ruminococcaceae family (1.859 g/d, CSS-normalized OTU units). For ADGAL, the largest effect was from OTU that belong to the S24-7 family (- 1.907 g/d, CSS-normalized OTU units). In general, OTU that had a substantial effect had low to moderate estimates of heritability. CONCLUSIONS Disentangling how direct and indirect effects act on production traits is relevant to fully describe the processes of mediation but also to understand how these traits change before considering the application of an external intervention aimed at changing a given microbial composition by blocking/promoting the presence of a particular microorganism.
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Affiliation(s)
- Mónica Mora
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - María Velasco-Galilea
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain ,Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Cerdanyola del Vallès, Barcelona Spain
| | - Juan Pablo Sánchez
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - Yuliaxis Ramayo-Caldas
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - Miriam Piles
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
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13
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Dietary Supplementation of Attapulgite Improves Growth Performance in Pigs from Weaning to Slaughter. Vet Sci 2022; 9:vetsci9100557. [PMID: 36288170 PMCID: PMC9607512 DOI: 10.3390/vetsci9100557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/09/2022] [Accepted: 10/08/2022] [Indexed: 11/05/2022] Open
Abstract
The objective of the present study was to investigate the effect of dietary supplementation of attapulgite on the performance of fattening pigs from weaning to slaughter under field conditions in three commercial farrow to finish herds. In total 1890 pigs were used for six months: 720 pigs in Farms A and B, respectively and 450 pigs in Farm C. The pigs were equally allocated in three dietary treatments: CON, standard diet in each growing phase; ATT, standard diet that was supplemented with attapulgite at 7 kg/tn of feed; and ATT+, standard diet that was supplemented with 8 kg/tn of feed with a compound product based on attapulgite. Pigs that were fed diets that were supplemented with attapulgite (ATT and ATT+) had significantly higher (p < 0.05) average daily feed intake (ADFI) and a better feed conversion ratio (FCR), compared to the control (CON). In conclusion, attapulgite supplementation in the diet of pigs from weaning to slaughter can improve their performance in commercial farms.
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14
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Feehan B, Ran Q, Dorman V, Rumback K, Pogranichniy S, Ward K, Goodband R, Niederwerder MC, Summers KL, Lee STM. Stability and volatility shape the gut bacteriome and Kazachstania slooffiae dynamics in preweaning, nursery and adult pigs. Sci Rep 2022; 12:15080. [PMID: 36064754 PMCID: PMC9445069 DOI: 10.1038/s41598-022-19093-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/24/2022] [Indexed: 11/09/2022] Open
Abstract
The gut microbiome plays important roles in the maintenance of health and pathogenesis of diseases in the growing host. In order to fully comprehend the interplay of the gut microbiome and host, a foundational understanding of longitudinal microbiome, including bacteria and fungi, development is necessary. In this study, we evaluated enteric microbiome and host dynamics throughout the lifetime of commercial swine. We collected a total of 234 fecal samples from ten pigs across 31 time points in three developmental stages (5 preweaning, 15 nursery, and 11 growth adult). We then performed 16S rRNA gene amplicon sequencing for bacterial profiles and qPCR for the fungus Kazachstania slooffiae. We identified distinct bacteriome clustering according to the host developmental stage, with the preweaning stage exhibiting low bacterial diversity and high volatility amongst samples. We further identified clusters of bacteria that were considered core, increasing, decreasing or stage-associated throughout the host lifetime. Kazachstania slooffiae was absent in the preweaning stage but peaked during the nursery stage of the host. We determined that all host growth stages contained negative correlations between K. slooffiae and bacterial genera, with only the growth adult stage containing positive correlates. Our stage-associated bacteriome results suggested the neonate contained a volatile gut microbiome. Upon weaning, the microbiome became relatively established with comparatively fewer perturbations in microbiome composition. Differential analysis indicated bacteria might play distinct stage-associated roles in metabolism and pathogenesis. The lack of positive correlates and shared K. slooffiae-bacteria interactions between stages warranted future research into the interactions amongst these kingdoms for host health. This research is foundational for understanding how bacteria and fungi develop singularly, as well as within a complex ecosystem in the host's gut environment.
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Affiliation(s)
- Brandi Feehan
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Qinghong Ran
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Victoria Dorman
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Kourtney Rumback
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Sophia Pogranichniy
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Kaitlyn Ward
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA
| | - Robert Goodband
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS, 66506, USA
| | - Megan C Niederwerder
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA.,Swine Health Information Center, Ames, IA, 50010, USA
| | - Katie Lynn Summers
- Animal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Center, United States Department of Agriculture, Beltsville, MD, 20705, USA
| | - Sonny T M Lee
- Division of Biology, College of Arts and Sciences, Kansas State University, Manhattan, KS, 66506, USA.
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15
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Kim S. A multi-omics approach to assess production of the valuable peptides and amino acids in porcine blood protein hydrolysate. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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16
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Déru V, Bouquet A, Zemb O, Blanchet B, De Almeida ML, Cauquil L, Carillier-Jacquin C, Gilbert H. Genetic relationships between efficiency traits and gut microbiota traits in growing pigs fed a conventional or a high fiber diet. J Anim Sci 2022; 100:6586877. [PMID: 35579995 PMCID: PMC9194801 DOI: 10.1093/jas/skac183] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/16/2022] [Indexed: 11/20/2022] Open
Abstract
In pigs, the gut microbiota composition plays a major role in the process of digestion, but is influenced by many external factors, especially diet. To be used in breeding applications, genotype by diet interactions on microbiota composition have to be quantified, as well as their impact on genetic covariances with feed efficiency (FE) and digestive efficiency (DE) traits. This study aimed at determining the impact of an alternative diet on variance components of microbiota traits (genera and alpha diversity indices) and estimating genetic correlations between microbiota and efficiency traits for pigs fed a conventional (CO) or a high-fiber (HF) diet. Fecal microbes of 812 full-siblings fed a CO diet and 752 pigs fed the HF diet were characterized at 16 weeks of age by sequencing the V3-V4 region of the 16S rRNA gene. A total of 231 genera were identified. Digestibility coefficients of nitrogen, organic matter, and energy were predicted analyzing the same fecal samples with near infrared spectrometry. Daily feed intake, feed conversion ratio, residual feed intake and average daily gain (ADG) were also recorded. The 71 genera present in more than 20% of individuals were retained for genetic analyses. Heritability (h²) of microbiota traits were similar between diets (from null to 0.38 ± 0.12 in the CO diet and to 0.39 ± 0.12 in the HF diet). Only three out of the 24 genera and two alpha diversity indices with significant h² in both diets had genetic correlations across diets significantly different from 0.99 (P < 0.05), indicating limited genetic by diet interactions for these traits. When both diets were analyzed jointly, 59 genera had h² significantly different from zero. Based on the genetic correlations between these genera and ADG, FE, and DE traits, three groups of genera could be identified. A group of 29 genera had abundances favorably correlated with DE and FE traits, 14 genera were unfavorably correlated with DE traits, and the last group of 16 genera had abundances with correlations close to zero with production traits. However, genera abundances favorably correlated with DE and FE traits were unfavorably correlated with ADG, and vice versa. Alpha diversity indices had correlation patterns similar to the first group. In the end, genetic by diet interactions on gut microbiota composition of growing pigs were limited in this study. Based on this study, microbiota-based traits could be used as proxies to improve FE and DE in growing pigs.
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Affiliation(s)
- V Déru
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France.,France Génétique Porc, 35651 Le Rheu Cedex, France
| | - A Bouquet
- IFIP-Institut du Porc, 35651 Le Rheu Cedex, France
| | - O Zemb
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - B Blanchet
- UE3P, INRAE, Domaine de la Prise, 35590, Saint-Gilles, France
| | - M L De Almeida
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - L Cauquil
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - C Carillier-Jacquin
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - H Gilbert
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
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17
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Abstract
The microbiota hosted in the pig gastrointestinal tract are important to health of this biomedical model. However, the individual species and functional repertoires that make up the pig gut microbiome remain largely undefined. Here we comprehensively investigated the genomes and functions of the piglet gut microbiome using culture-based and metagenomics approaches. A collection included 266 cultured genomes and 482 metagenome-assembled genomes (MAGs) that were clustered to 428 species across 10 phyla was established. Among these clustered species, 333 genomes represent potential new species. Less matches between cultured genomes and MAGs revealed a substantial bias for the acquisition of reference genomes by the two strategies. Glycoside hydrolases was the dominant category of carbohydrate-active enzymes. Four-hundred forty-five secondary metabolite biosynthetic genes were predicted from 292 genomes with bacteriocin being the most. Pan genome analysis of Limosilactobacillus reuteri uncover the biosynthesis of reuterin was strain-specific and the production was experimentally determined. This study provides a comprehensive view of the microbiome composition and the function landscape of the gut of weanling piglets and a valuable bacterial resource for further experimentations. IMPORTANCE The microorganism communities resided in mammalian gastrointestinal tract impacted the health and disease of the host. Our study complements metagenomic analysis with culture-based approach to establish a bacteria and genome collection and comprehensively investigate the microbiome composition and function of the gut of weanling piglets. We provide a valuable resource for further study of gut microbiota of weanling piglet and development of probiotics for prevention of disease.
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18
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Lindholm-Perry AK, Kuehn LA, Wells JE, Rempel LA, Chitko-McKown CG, Keel BN, Oliver WT. Hematology parameters as potential indicators of feed efficiency in pigs. Transl Anim Sci 2021; 5:txab219. [PMID: 34909604 DOI: 10.1093/tas/txab219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/17/2021] [Indexed: 12/20/2022] Open
Abstract
The identification of an inexpensive, indirect measure of feed efficiency in swine could be a useful tool to help identify animals with improved phenotypes to supplement expensive phenotypes including individual feed intakes. The purpose of this study was to determine whether hematology parameters in pigs at the beginning and end of a feed efficiency study, or changes in those values over the study, were associated with average daily gain (ADG), average daily feed intake (ADFI), or gain-to-feed (G:F). Whole blood samples were taken at days 0 and 42 from pigs (n = 178) that were monitored for individual feed intakes and body weight gain during a 6-week study. Blood samples were analyzed for blood cell parameters including white blood cell (WBC), neutrophil, lymphocyte, monocyte, eosinophil and basophil counts, red blood cell (RBC) counts, hemoglobin, hematocrit, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC), platelet count, and mean platelet volume (MPV). Feed efficiency parameters were predicted using an ANOVA model including fixed effects of farrowing group and pen (sex constant) and individual hematology parameters at day 0, day 42 or their change as covariates. At day 0, platelet count was positively associated with ADFI (P < 0.05) and negatively associated with G:F (P < 0.1), and lymphocyte count was positively associated with ADFI (P < 0.05). At day 42, neutrophil, RBC counts, hemoglobin and hematocrit were associated with ADFI (P < 10-3). Over the course of the study, changes in RBC measurements including RBC, hemoglobin, MCV, MCH, and MCHC (P < 10-4) which may improve oxygen carrying capacity, were associated with ADG and ADFI. The change in hematocrit over the course of the study was the only parameter that was associated with all three measures of feed efficiency (P < 0.05). Changes in RBC parameters, especially hematocrit, may be useful measurements to supplement feed efficiency phenotypes in swine.
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Affiliation(s)
- Amanda K Lindholm-Perry
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Larry A Kuehn
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - James E Wells
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Lea A Rempel
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Carol G Chitko-McKown
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Brittney N Keel
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - William T Oliver
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
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19
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Fruit and Vegetable Supplemented Diet Modulates the Pig Transcriptome and Microbiome after a Two-Week Feeding Intervention. Nutrients 2021; 13:nu13124350. [PMID: 34959902 PMCID: PMC8703502 DOI: 10.3390/nu13124350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 02/06/2023] Open
Abstract
A study was conducted to determine the effects of a diet supplemented with fruits and vegetables (FV) on the host whole blood cell (WBC) transcriptome and the composition and function of the intestinal microbiome. Nine six-week-old pigs were fed a pig grower diet alone or supplemented with lyophilized FV equivalent to half the daily recommended amount prescribed for humans by the Dietary Guideline for Americans (DGA) for two weeks. Host transcriptome changes in the WBC were evaluated by RNA sequencing. Isolated DNA from the fecal microbiome was used for 16S rDNA taxonomic analysis and prediction of metabolomic function. Feeding an FV-supplemented diet to pigs induced differential expression of several genes associated with an increase in B-cell development and differentiation and the regulation of cellular movement, inflammatory response, and cell-to-cell signaling. Linear discriminant analysis effect size (LEfSe) in fecal microbiome samples showed differential increases in genera from Lachnospiraceae and Ruminococcaceae families within the order Clostridiales and Erysipelotrichaceae family with a predicted reduction in rgpE-glucosyltransferase protein associated with lipopolysaccharide biosynthesis in pigs fed the FV-supplemented diet. These results suggest that feeding an FV-supplemented diet for two weeks modulated markers of cellular inflammatory and immune function in the WBC transcriptome and the composition of the intestinal microbiome by increasing the abundance of bacterial taxa that have been associated with improved intestinal health.
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Cullen JT, Lawlor PG, Cormican P, Gardiner GE. Microbial Quality of Liquid Feed for Pigs and Its Impact on the Porcine Gut Microbiome. Animals (Basel) 2021; 11:ani11102983. [PMID: 34680002 PMCID: PMC8532943 DOI: 10.3390/ani11102983] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/08/2021] [Accepted: 10/11/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Liquid feed is produced by mixing dry feed ingredients with water, and sometimes liquid co-products from the food and beverage industry, at a defined ratio. Liquid feeding of pigs is popular, particularly in parts of northern and western Europe, and can be associated with lower feed costs, improved dry matter intake, growth rate and gut health, compared to dry feeding. However, spontaneous/uncontrolled fermentation upon mixing of feed with water or co-products can decrease the microbial and nutritional quality of the feed, resulting in poorer pig health and growth. For this reason, strategies aimed at optimising liquid feed microbial quality are frequently employed. These include: deliberate fermentation with/without the use of lactic acid bacteria starter cultures that produce lactic acid and lower the feed pH, thereby preventing growth of pathogens. Fermenting only the cereal component of the diet is preferred to whole diet fermentation to minimise loss of free amino acids from the diet during fermentation. This review examines the microbiome of liquid feed and explores how optimisation strategies impact both feed microbial quality and the gut microbiota and growth of liquid-fed pigs. It also covers cleaning and disinfection of liquid feeding systems and how this might impact liquid feed microbial quality. Abstract There is evidence that spontaneous fermentation frequently occurs in liquid pig feed that is intended to be delivered as fresh liquid feed, often with a resultant deterioration in the microbial and nutritional quality of the feed, which can negatively affect pig health and growth. Strategies including controlled fermentation with microbial inoculants, pre-fermentation or soaking of the cereal fraction of the diet, enzyme supplementation and dietary acidification have been employed to inhibit pathogens and prevent deterioration of feed nutritional quality, with promising results obtained in many cases. This review evaluates the impact of these strategies on the microbial quality of liquid feed and discusses how they can be further improved. It also investigates if/how these strategies impact the pig gut microbiota and growth performance of liquid-fed pigs. Finally, we review liquid feed system sanitisation practices, which are highly variable from farm to farm and discuss the impact of these practices and whether they are beneficial or detrimental to liquid feed microbial quality. Overall, we provide a comprehensive review of the current state of knowledge on liquid feed for pigs, focusing on factors affecting microbial quality and strategies for its optimisation, as well as its impact on the pig gut microbiome.
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Affiliation(s)
- James T. Cullen
- Department of Science, Waterford Institute of Technology, Co. Waterford, X91 K0EK Waterford, Ireland;
| | - Peadar G. Lawlor
- Teagasc, Pig Development Department, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996 Cork, Ireland;
| | - Paul Cormican
- Teagasc, Animal Bioscience Research Centre, Grange, Dunsany, Co. Meath, C15 PW93 Dublin, Ireland;
| | - Gillian E. Gardiner
- Department of Science, Waterford Institute of Technology, Co. Waterford, X91 K0EK Waterford, Ireland;
- Correspondence:
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21
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Wang Z, He Y, Wang C, Ao H, Tan Z, Xing K. Variations in Microbial Diversity and Metabolite Profiles of Female Landrace Finishing Pigs With Distinct Feed Efficiency. Front Vet Sci 2021; 8:702931. [PMID: 34307537 PMCID: PMC8299115 DOI: 10.3389/fvets.2021.702931] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
To enhance pig production, feed efficiency (FE) should be improved; however, the mechanisms by which gut microbes affect FE in pigs have not been fully elucidated. To investigate the differences between the composition and functionality of the gut microbiota associated with low and high FE, microbial compositions were characterized using 16S rRNA sequencing, functional annotations were performed by shotgun metagenomics, and metabolomic profiles were created by GC-TOF-MS from female Landrace finishing pigs with low and high feed conversion ratios (FCRs). Lactobacillus was enriched in the gut microbiota of individuals with low FCRs (and thus high FE), while Prevotella abundance was significantly higher in individuals with high FCRs (and thus low FE). This may be linked to carbohydrate consumption and incomplete digestion. The activity of pathways involved in the metabolism of cofactors and vitamins was greater in pigs with lower FE. We also identified differences in pyruvate-related metabolism, including phenylalanine and lysine metabolism. This suggests that pyruvate metabolism is closely related to microbial fermentation in the colon, which in turn affects glycolysis. This study deepens our understanding of how gut microbiota are related to pig growth traits, and how regulating microbial composition could aid in improving porcine FE. However, these results need to be validated using a larger pig cohort in the future.
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Affiliation(s)
- Zhixin Wang
- College of Animal Science and Technology, Hainan University, Haikou, China
| | - Yingzhi He
- College of Animal Science and Technology, Hainan University, Haikou, China
| | - Chuduan Wang
- Key Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hong Ao
- State Key Laboratory for Animal Nutrition, Key Laboratory for Domestic Animal Genetic Resources and Breeding of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhen Tan
- College of Animal Science and Technology, Hainan University, Haikou, China
| | - Kai Xing
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, China
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22
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Wu J, Ye Y, Quan J, Ding R, Wang X, Zhuang Z, Zhou S, Geng Q, Xu C, Hong L, Xu Z, Zheng E, Cai G, Wu Z, Yang J. Using nontargeted LC-MS metabolomics to identify the Association of Biomarkers in pig feces with feed efficiency. Porcine Health Manag 2021; 7:39. [PMID: 34078468 PMCID: PMC8170940 DOI: 10.1186/s40813-021-00219-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 05/11/2021] [Indexed: 12/15/2022] Open
Abstract
Background Improving feed efficiency is economically and environmentally beneficial in the pig industry. A deeper understanding of feed efficiency is essential on many levels for its highly complex nature. The aim of this project is to explore the relationship between fecal metabolites and feed efficiency-related traits, thereby identifying metabolites that may assist in the screening of the feed efficiency of pigs. Results We performed fecal metabolomics analysis on 50 individuals selected from 225 Duroc x (Landrace x Yorkshire) (DLY) commercial pigs, 25 with an extremely high feed efficiency and 25 with an extremely low feed efficiency. A total of 6749 and 5644 m/z features were detected in positive and negative ionization modes by liquid chromatography-mass spectrometry (LC/MS). Regrettably, the PCA could not classify the the samples accurately. To improve the classification, OPLS-DA was introduced. However, the predictive ability of the OPLS-DA model did not perform well. Then, through weighted coexpression network analysis (WGCNA), we found that one module in each positive and negative mode was related to residual feed intake (RFI), and six and three metabolites were further identified. The nine metabolites were found to be involved in multiple metabolic pathways, including lipid metabolism (primary bile acid synthesis, linoleic acid metabolism), vitamin D, glucose metabolism, and others. Then, Lasso regression analysis was used to evaluate the importance of nine metabolites obtained by the annotation process. Conclusions Altogether, this study provides new insights for the subsequent evaluation of commercial pig feed efficiency through small molecule metabolites, but also provide a reference for the development of new feed additives. Supplementary Information The online version contains supplementary material available at 10.1186/s40813-021-00219-w.
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Affiliation(s)
- Jie Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Yong Ye
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Jianping Quan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Rongrong Ding
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Xingwang Wang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Zhanwei Zhuang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Shenping Zhou
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Qian Geng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Cineng Xu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Linjun Hong
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Zheng Xu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China. .,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China. .,State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangzhou, 510642l, China. .,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou, 510642, China.
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, 510642, China. .,Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou, 510642, China.
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23
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Xu B, Yan Y, Yin B, Zhang L, Qin W, Niu Y, Tang Y, Zhou S, Yan X, Ma L. Dietary glycyl-glutamine supplementation ameliorates intestinal integrity, inflammatory response, and oxidative status in association with the gut microbiota in LPS-challenged piglets. Food Funct 2021; 12:3539-3551. [PMID: 33900316 DOI: 10.1039/d0fo03080e] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
During weaning transition, mammalian newborns suffer severe enteric infections and thus induced gut microbiota dysbiosis, which in turn aggravates enteric disorder. The synthetic dipeptide glycyl-glutamine (GlyGln) has been used as a diet supplement to improve the weaning transition of newborns. However, the effect of dietary GlyGln supplementation on the gut microbiota of piglets with enteric infection remains unclear. Here, weaned piglets received a basal diet or a basal diet supplemented with 0.25% GlyGln for 3 weeks. Five piglets in each group received an intraperitoneal injection of lipopolysaccharide (LPS) (100 μg per kg BW) (LPS and GlyGln + LPS groups) and meanwhile five piglets in a control group received an intraperitoneal injection of saline (Ctrl group). The results showed that dietary GlyGln supplementation improved the LPS induced inflammation response and damage to the ileum morphology by increasing interleukin 10, tight junction proteins, villus height, and the ratio villus height/crypt depth, but decreasing the crypt depth. For the oxidative status, dietary GlyGln supplementation increased the ileal superoxide dismutase and meanwhile reduced the malondialdehyde and nitric oxide synthase activity (NOS) (total NOS and inducible NOS), compared with that in the LPS group. LPS challenge reduced the diversity of gut microbiota and enriched the facultative anaerobic Escherichia coli. The GlyGln restored alpha diversity and the structure of the gut microbiota by enriching obligate anaerobes and short-chain fatty acid (SCFA)-producing bacteria, including Clostridium, Lachnospira, Phascolarctobacterium, Roseburia, Lachnospiraceae, and Synergistetes. GlyGln enriched the gut microbiota function of carbohydrate metabolism and elevated the ileal SCFA concentrations of propionic acid and butyric acid that had been decreased by the LPS challenge. The beneficial effects of dietary GlyGln supplementation are closely associated with its enriched bacteria and SCFAs. Taken together, dietary GlyGln supplementation improved the gut microbiota dysbiosis induced by LPS challenge and enriched obligate anaerobes and SCFA-producing bacteria, which contributed to the amelioration of intestinal integrity, inflammatory responses, and oxidative status.
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Affiliation(s)
- Baoyang Xu
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
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24
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Miragoli F, Patrone V, Prandini A, Sigolo S, Dell’Anno M, Rossi L, Senizza A, Morelli L, Callegari ML. Implications of Tributyrin on Gut Microbiota Shifts Related to Performances of Weaning Piglets. Microorganisms 2021; 9:microorganisms9030584. [PMID: 33809105 PMCID: PMC8001585 DOI: 10.3390/microorganisms9030584] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/08/2021] [Accepted: 03/10/2021] [Indexed: 02/07/2023] Open
Abstract
Alternatives to antibiotic treatments are required owing to the ban on the use of these drugs as growth promoters in food animal production. Tributyrin appears to play a role in improving growth performance in pigs, albeit with varying degrees of effectiveness. So far, very little is known about its effects on gut microbiota composition. In this study, we investigated the gut microbiota changes of piglets receiving, at weaning, 0.2% tributyrin added to their basal diet. Microbiota composition was assessed through 16S-rRNA gene sequencing on stools collected from tributyrin and control groups. The functional profiles of microbial communities were predicted from amplicon abundance data. A comparison between dietary groups revealed that tributyrin strongly modulated gut microbiota composition in piglets, increasing the relative abundance of a number of bacterial genera such as Oscillospira, Oscillibacter, Mucispirillum and Butyrivibrio. These genera were positively correlated to animal average daily gain (ADG) and/or body weight (BW). Based on the function profile prediction, the gut microbiome of the tributyrin group possessed an enhanced potential for energy metabolism and a reduced potential for carbohydrate metabolism. In conclusion, our results indicated that tributyrin can promote changes to gut microbial communities, which could contribute to improving animal performance after weaning.
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Affiliation(s)
- Francesco Miragoli
- Department for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (F.M.); (V.P.); (A.S.); (L.M.)
- AAT—Advanced Analytical Technologies Srl, Fiorenzuola d’Arda, 29107 Piacenza, Italy
| | - Vania Patrone
- Department for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (F.M.); (V.P.); (A.S.); (L.M.)
| | - Aldo Prandini
- Department of Animal Science, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (A.P.); (S.S.)
| | - Samantha Sigolo
- Department of Animal Science, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (A.P.); (S.S.)
| | - Matteo Dell’Anno
- Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, via Trentacoste 2, 20134 Milano, Italy; (M.D.); (L.R.)
| | - Luciana Rossi
- Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, via Trentacoste 2, 20134 Milano, Italy; (M.D.); (L.R.)
| | - Alice Senizza
- Department for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (F.M.); (V.P.); (A.S.); (L.M.)
| | - Lorenzo Morelli
- Department for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (F.M.); (V.P.); (A.S.); (L.M.)
| | - Maria Luisa Callegari
- Department for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122 Piacenza, Italy; (F.M.); (V.P.); (A.S.); (L.M.)
- Correspondence:
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25
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Chen C, Zhou Y, Fu H, Xiong X, Fang S, Jiang H, Wu J, Yang H, Gao J, Huang L. Expanded catalog of microbial genes and metagenome-assembled genomes from the pig gut microbiome. Nat Commun 2021; 12:1106. [PMID: 33597514 PMCID: PMC7889623 DOI: 10.1038/s41467-021-21295-0] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 01/15/2021] [Indexed: 02/08/2023] Open
Abstract
Gut microbiota plays an important role in pig health and production. Still, availability of sequenced genomes and functional information for most pig gut microbes remains limited. Here we perform a landscape survey of the swine gut microbiome, spanning extensive sample sources by deep metagenomic sequencing resulting in an expanded gene catalog named pig integrated gene catalog (PIGC), containing 17,237,052 complete genes clustered at 90% protein identity from 787 gut metagenomes, of which 28% are unknown proteins. Using binning analysis, 6339 metagenome-assembled genomes (MAGs) were obtained, which were clustered to 2673 species-level genome bins (SGBs), among which 86% (2309) SGBs are unknown based on current databases. Using the present gene catalog and MAGs, we identified several strain-level differences between the gut microbiome of wild boars and commercial Duroc pigs. PIGC and MAGs provide expanded resources for swine gut microbiome-related research.
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Affiliation(s)
- Congying Chen
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - Yunyan Zhou
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Hao Fu
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Xinwei Xiong
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Shaoming Fang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Hui Jiang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jinyuan Wu
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Hui Yang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jun Gao
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Lusheng Huang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
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Williams AR, Myhill LJ, Stolzenbach S, Nejsum P, Mejer H, Nielsen DS, Thamsborg SM. Emerging interactions between diet, gastrointestinal helminth infection, and the gut microbiota in livestock. BMC Vet Res 2021; 17:62. [PMID: 33514383 PMCID: PMC7845040 DOI: 10.1186/s12917-021-02752-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 01/08/2021] [Indexed: 02/08/2023] Open
Abstract
Increasing evidence suggests that nutritional manipulation of the commensal gut microbiota (GM) may play a key role in maintaining animal health and production in an era of reduced antimicrobial usage. Gastrointestinal helminth infections impose a considerable burden on animal performance, and recent studies suggest that infection may substantially alter the composition and function of the GM. Here, we discuss the potential interactions between different bioactive dietary components (prebiotics, probiotics and phytonutrients) and helminth infection on the GM in livestock. A number of recent studies suggest that host diet can strongly influence the nature of the helminth-GM interaction. Nutritional manipulation of the GM may thus impact helminth infection, and conversely infection may also influence how the GM responds to dietary interventions. Moreover, a dynamic interaction exists between helminths, the GM, intestinal immune responses, and inflammation. Deciphering the mechanisms underlying the diet-GM-helminth axis will likely inform future helminth control strategies, as well as having implications for how health-promoting feed additives, such as probiotics, can play a role in sustainable animal production.
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Affiliation(s)
- Andrew R Williams
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Laura J Myhill
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sophie Stolzenbach
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Nejsum
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Helena Mejer
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dennis S Nielsen
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Stig M Thamsborg
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
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27
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Impact of Intestinal Microbiota on Growth and Feed Efficiency in Pigs: A Review. Microorganisms 2020; 8:microorganisms8121886. [PMID: 33260665 PMCID: PMC7761281 DOI: 10.3390/microorganisms8121886] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/09/2020] [Accepted: 11/25/2020] [Indexed: 12/15/2022] Open
Abstract
This review summarises the evidence for a link between the porcine intestinal microbiota and growth and feed efficiency (FE), and suggests microbiota-targeted strategies to improve productivity. However, there are challenges in identifying reliable microbial predictors of host phenotype; environmental factors impact the microbe–host interplay, sequential differences along the intestine result in segment-specific FE- and growth-associated taxa/functionality, and it is often difficult to distinguish cause and effect. However, bacterial taxa involved in nutrient processing and energy harvest, and those with anti-inflammatory effects, are consistently linked with improved productivity. In particular, evidence is emerging for an association of Treponema and methanogens such as Methanobrevibacter in the small and large intestines and Lactobacillus in the large intestine with a leaner phenotype and/or improved FE. Bacterial carbohydrate and/or lipid metabolism pathways are also generally enriched in the large intestine of leaner pigs and/or those with better growth/FE. Possible microbial signalling routes linked to superior growth and FE include increased intestinal propionate production and reduced inflammatory response. In summary, the bacterial taxa and/or metabolic pathways identified here could be used as biomarkers for FE/growth in pigs, the taxa exploited as probiotics or the taxa/functionality manipulated via dietary/breeding strategies in order to improve productivity in pigs.
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28
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Jalil Sarghale A, Moradi Shahrebabak M, Moradi Shahrebabak H, Nejati Javaremi A, Saatchi M, Khansefid M, Miar Y. Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data. BMC Genet 2020; 21:129. [PMID: 33228565 PMCID: PMC7684878 DOI: 10.1186/s12863-020-00953-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 11/12/2020] [Indexed: 01/02/2023] Open
Abstract
Background Methane emission by ruminants has contributed considerably to the global warming and understanding the genomic architecture of methane production may help livestock producers to reduce the methane emission from the livestock production system. The goal of our study was to identify genomic regions affecting the predicted methane emission (PME) from volatile fatty acids (VFAs) indicators and VFA traits using imputed whole-genome sequence data in Iranian Holstein cattle. Results Based on the significant-association threshold (p < 5 × 10− 8), 33 single nucleotide polymorphisms (SNPs) were detected for PME per kg milk (n = 2), PME per kg fat (n = 14), and valeric acid (n = 17). Besides, 69 genes were identified for valeric acid (n = 18), PME per kg milk (n = 4) and PME per kg fat (n = 47) that were located within 1 Mb of significant SNPs. Based on the gene ontology (GO) term analysis, six promising candidate genes were significantly clustered in organelle organization (GO:0004984, p = 3.9 × 10− 2) for valeric acid, and 17 candidate genes significantly clustered in olfactory receptors activity (GO:0004984, p = 4 × 10− 10) for PME traits. Annotation results revealed 31 quantitative trait loci (QTLs) for milk yield and its components, body weight, and residual feed intake within 1 Mb of significant SNPs. Conclusions Our results identified 33 SNPs associated with PME and valeric acid traits, as well as 17 olfactory receptors activity genes for PME traits related to feed intake and preference. Identified SNPs were close to 31 QTLs for milk yield and its components, body weight, and residual feed intake traits. In addition, these traits had high correlations with PME trait. Overall, our findings suggest that marker-assisted and genomic selection could be used to improve the difficult and expensive-to-measure phenotypes such as PME. Moreover, prediction of methane emission by VFA indicators could be useful for increasing the size of reference population required in genome-wide association studies and genomic selection.
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Affiliation(s)
- Ali Jalil Sarghale
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, 31587-11167, Iran.,Department of Animal Science and Aquaculture, Dalhousie University, Truro, B2N 5E3, Canada
| | - Mohammad Moradi Shahrebabak
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, 31587-11167, Iran.
| | - Hossein Moradi Shahrebabak
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, 31587-11167, Iran
| | - Ardeshir Nejati Javaremi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, 31587-11167, Iran
| | - Mahdi Saatchi
- Department of Animal Science, Iowa State University, 806 Stange Road, Ames, IA, 50011, USA.,American Simmental Association, Bozeman, MT, 59715, USA
| | - Majid Khansefid
- Agriculture Victoria, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Younes Miar
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, B2N 5E3, Canada.
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29
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Gaillard C, Brossard L, Dourmad JY. Improvement of feed and nutrient efficiency in pig production through precision feeding. Anim Feed Sci Technol 2020. [DOI: 10.1016/j.anifeedsci.2020.114611] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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30
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Jiang X, Lu N, Zhao H, Yuan H, Xia D, Lei H. The Microbiome-Metabolome Response in the Colon of Piglets Under the Status of Weaning Stress. Front Microbiol 2020; 11:2055. [PMID: 32983040 PMCID: PMC7483555 DOI: 10.3389/fmicb.2020.02055] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/05/2020] [Indexed: 12/17/2022] Open
Abstract
Weaning is stressful for piglets involving nutritional, physiological, and psychological challenges, leading to an increase in the secretion of cortisol, changes in gut microbiome and metabolites, whereas the underlying relationships remain unclear. To elucidate this, 14 Meishan female piglets were divided into the weaning group and the suckling group at the age of 21 days paired by litter and body weight. After 48 h of experiment, weaned piglets had lower body weight, but higher salivary cortisol level than that of their suckling litter mates (P < 0.05). The composition of the colonic bacterial community and metabolites were different between the two groups, and the first predominant genus of the suckling and weaned piglets colonic microbiome were Bacteroides and Prevotellaceae-NK3B31 group respectively. The suckling piglets had higher proportions of phylum Bacteroidetes and Lentisphaerae, and genus Bacteroides and Lactobacillus in the colonic microbial community, but lower abundance of genus Prevotellaceae-NK3B31 group than that of the weaned piglets (P < 0.05). Accordingly, there were 15 colonic metabolites differed between the two groups, in which 2 metabolites (phenylacetic acid and phenol) negatively related to the abundant of Lactobacillus genus (P < 0.05), while 9 metabolites (acetic acid, arabitol, benzoic acid, caprylic acid, cholesterol, dihydrocholesterol, galactinol, glucose phenol, phenylacetic acid, and oxamic acid, glycerol, propionic acid) positively associated with the proportion of Prevotellaceae-NK3B31 group genus (P < 0.05). Furthermore, the salivary cortisol level negatively associated with the abundance of phylum Lentisphaerae, but positively associated with the phylum Bacteroidetes and the genus Prevotellaceae-NK3B31 group (P < 0.05) respectively. These results provide us with new insights into the cause of the gut microbiome and stress, and the contributions of gut microbiome in metabolic and physiological regulation in response to weaning stress.
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Affiliation(s)
- Xueyuan Jiang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Naisheng Lu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Haichao Zhao
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China.,Department of Pharmaceutical Microbiology, School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China
| | - Hao Yuan
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Dong Xia
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Hulong Lei
- Institute of Animal Husbandry and Veterinary Science, Shanghai Engineering Research Center of Breeding Pig, Shanghai Academy of Agricultural Sciences, Shanghai, China
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31
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Torres-Pitarch A, Gardiner GE, Cormican P, Rea M, Crispie F, O'Doherty JV, Cozannet P, Ryan T, Cullen J, Lawlor PG. Effect of cereal fermentation and carbohydrase supplementation on growth, nutrient digestibility and intestinal microbiota in liquid-fed grow-finishing pigs. Sci Rep 2020; 10:13716. [PMID: 32792575 PMCID: PMC7426827 DOI: 10.1038/s41598-020-70443-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 07/10/2020] [Indexed: 11/12/2022] Open
Abstract
This study aimed to determine the impact of fermenting the cereal fraction of the diet (Cferm) and enzyme supplementation (ENZ) on the bacterial composition of the feed, nutrient digestibility, pig growth, feed efficiency (FE), intestinal volatile fatty acid (VFA) concentrations and intestinal microbiota composition. A total of 252 grow-finisher pigs (~ 40.4 kg; 7 pigs/pen) were randomly allocated to 4 diets in a 2 × 2 factorial arrangement for 55d. The diets were: (1) fresh liquid feed (Fresh); (2) Cferm liquid feed (Ferm); (3) Fresh + ENZ and (4) Ferm + ENZ. Cferm increased total tract nutrient digestibility, reduced caecal butyrate and propionate concentrations, and increased average daily gain (ADG). ENZ increased ileal and total tract nutrient digestibility, reduced caecal isobutyrate and propionate concentrations, and improved FE. Bacterial taxa positively correlated with pig growth (Lactobacillus kisonensis in the ileum and Roseburia faecis in the caecum) were more abundant in pigs fed ENZ diets, whereas most of the ileal bacterial taxa negatively correlated with growth (Megasphaera, Bifidobacterium and Streptococcus) had lower abundance in pigs fed Cferm diets. In conclusion, Cferm increased ADG and ENZ improved FE, with these improvements possibly mediated by increased nutrient digestibility, and beneficial modulation of the intestinal microbiota.
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Affiliation(s)
- Alberto Torres-Pitarch
- Teagasc, Pig Development Department, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, County Cork, Ireland.,School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland
| | - Gillian E Gardiner
- Department of Science, Waterford Institute of Technology, Waterford, Ireland
| | - Paul Cormican
- Animal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre, Teagasc, Grange, County Meath, Ireland
| | - Mary Rea
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland.,APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Fiona Crispie
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland.,APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - John V O'Doherty
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland
| | | | - Tomas Ryan
- Teagasc, Pig Development Department, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, County Cork, Ireland
| | - James Cullen
- Department of Science, Waterford Institute of Technology, Waterford, Ireland
| | - Peadar G Lawlor
- Teagasc, Pig Development Department, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, County Cork, Ireland.
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32
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Ricker N, Trachsel J, Colgan P, Jones J, Choi J, Lee J, Coetzee JF, Howe A, Brockmeier SL, Loving CL, Allen HK. Toward Antibiotic Stewardship: Route of Antibiotic Administration Impacts the Microbiota and Resistance Gene Diversity in Swine Feces. Front Vet Sci 2020; 7:255. [PMID: 32509805 PMCID: PMC7249142 DOI: 10.3389/fvets.2020.00255] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022] Open
Abstract
Oral antibiotics are a critical tool for fighting bacterial infections, yet their use can have negative consequences, such as the disturbance of healthy gut bacterial communities and the dissemination of antibiotic residues in feces. Altering antibiotic administration route may limit negative impacts on intestinal microbiota and reduce selective pressure for antimicrobial resistance genes (ARG) persistence and mobility. Thus, a study was performed in pigs to evaluate route of therapeutic oxytetracycline (oxytet) administration, an antibiotic commonly used in the U.S. swine industry, on intestinal microbial diversity and ARG abundance. Given that oral antibiotics would be in direct contact with intestinal bacteria, we hypothesized that oral administration would cause a major shift in intestinal bacterial community structure when compared to injected antibiotic. We further postulated that the impact would extend to the diversity and abundance of ARG in swine feces. At approximately 3 weeks-of-age, piglets were separated into three groups (n = 21–22 per group) with two groups receiving oxytet (one via injection and the second via feed) and a third non-medicated group. Oxytet levels in the plasma indicated injected antibiotic resulted in a spike 1 day after administration, which decreased over time, though oxytet was still detected in plasma 14 days after injection. Conversely, in-feed oxytet delivery resulted in lower but less variable oxytet levels in circulation and high concentrations in feces. Similar trends were observed in microbial community changes regardless of route of oxytet administration; however, the impact on the microbial community was more pronounced at all time points and in all samples with in-feed administration. Fecal ARG abundance was increased with in-feed administration over injected, with genes for tetracycline and aminoglycoside resistance enriched specifically in the feces of the in-feed group. Sequencing of plasmid-enriched samples revealed multiple genetic contexts for the resistance genes detected and highlighted the potential role of small plasmids in the movement of antibiotic resistance genes. The findings are informative for disease management in food animals, but also manure management and antibiotic therapy in human medicine for improved antibiotic stewardship.
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Affiliation(s)
- Nicole Ricker
- Food Safety and Enteric Pathogens Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States.,Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States
| | - Julian Trachsel
- Food Safety and Enteric Pathogens Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States
| | - Phillip Colgan
- Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States
| | - Jennifer Jones
- Food Safety and Enteric Pathogens Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States
| | - Jinlyung Choi
- Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States
| | - Jaejin Lee
- Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States
| | - Johann F Coetzee
- College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Adina Howe
- Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States
| | - Susan L Brockmeier
- Virus and Prion Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States
| | - Crystal L Loving
- Food Safety and Enteric Pathogens Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States
| | - Heather K Allen
- Food Safety and Enteric Pathogens Research Unit, ARS-USDA National Animal Disease Center, Ames, IA, United States
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33
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Reyer H, Oster M, McCormack UM, Muráni E, Gardiner GE, Ponsuksili S, Lawlor PG, Wimmers K. Host-Microbiota Interactions in Ileum and Caecum of Pigs Divergent in Feed Efficiency Contribute to Nutrient Utilization. Microorganisms 2020; 8:E563. [PMID: 32295250 PMCID: PMC7232263 DOI: 10.3390/microorganisms8040563] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/09/2020] [Accepted: 04/12/2020] [Indexed: 12/12/2022] Open
Abstract
The composition of the intestinal microbiota plays an important role in the digestion and utilization of nutrients and for gut health. Low-fiber diets stimulate digestion and absorption processes, predominantly in the upper region of the gastrointestinal tract, thereby increasing the conversion of feed into body weight. As a consequence, the chemical composition of digesta after duodenal and jejunal absorption processes and passage has a limited complexity affecting colonization and molecular profiles of enterocytes in the hind gut. To decipher ileal and caecal microbial ecosystems and host transcriptional profiles that are beneficial for effective use of the remaining nutrients, pigs differing in feeding efficiency were studied. Biological functions that were consistently enriched at both the gene and microbiota levels comprise immunity-related processes, which ensure the integrity of the gastrointestinal tract. In addition, the differential abundance of certain genera, including Rothia, Subdoligranulu, Leeia and Cellulosilyticum, reflects the establishment of a microbial profile that supports the digestion of endogenously indigestible dietary components in highly feed-efficient pigs. Overall, the results indicate the potential to promote these beneficial functions and further improve feed efficiency through manipulation of dietary and probiotic strategies.
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Affiliation(s)
- Henry Reyer
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (H.R.); (M.O.); (E.M.); (S.P.)
| | - Michael Oster
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (H.R.); (M.O.); (E.M.); (S.P.)
| | - Ursula M. McCormack
- Animal and Grassland Research and Innovation Centre, Teagasc Pig Development Department, Moorepark, Fermoy, Co. Cork P61 C996, Ireland; (U.M.M.); (P.G.L.)
| | - Eduard Muráni
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (H.R.); (M.O.); (E.M.); (S.P.)
| | - Gillian E. Gardiner
- Department of Science, Waterford Institute of Technology, Waterford, Co. Waterford X91 K0EK, Ireland;
| | - Siriluck Ponsuksili
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (H.R.); (M.O.); (E.M.); (S.P.)
| | - Peadar G. Lawlor
- Animal and Grassland Research and Innovation Centre, Teagasc Pig Development Department, Moorepark, Fermoy, Co. Cork P61 C996, Ireland; (U.M.M.); (P.G.L.)
| | - Klaus Wimmers
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (H.R.); (M.O.); (E.M.); (S.P.)
- Faculty of Agricultural and Environmental Sciences, University Rostock, 18059 Rostock, Germany
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34
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Quan J, Wu Z, Ye Y, Peng L, Wu J, Ruan D, Qiu Y, Ding R, Wang X, Zheng E, Cai G, Huang W, Yang J. Metagenomic Characterization of Intestinal Regions in Pigs With Contrasting Feed Efficiency. Front Microbiol 2020; 11:32. [PMID: 32038603 PMCID: PMC6989599 DOI: 10.3389/fmicb.2020.00032] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/09/2020] [Indexed: 11/13/2022] Open
Abstract
Greater feed efficiency (FE) is critical in increasing profitability while reducing the environmental impact of pig production. Previous studies that identified swine FE-associated bacterial taxa were limited in either sampling sites or sequencing methods. This study characterized the microbiomes within the intestine of FE contrasting Duroc × (Landrace × Yorkshire) (DLY) pigs with a comprehensive representation of diverse sampling sites (ileum, cecum, and colon) and a metagenomic sequencing approach. A total of 226 pigs were ranked according to their FE between weaning to 140 day old, and six with extreme phenotypes were selected, three for each of the high and low groups. The results revealed that the cecum and colon had similar microbial taxonomic composition and function, and had higher capacity in polysaccharide metabolism than the ileum. We found in cecum that the high FE pigs had slightly higher richness and evenness in their micriobiota than the low FE pigs. We identified 12 phyla, 17 genera, and 39 species (e.g., Treponema porcinum, Treponema bryantii, and Firmicutes bacterium CAG:110) that were potentially associated with swine FE variation in cecum microbiota through LEfSe analysis. Species enriched in the cecum of the high FE pigs had a greater ability to utilize dietary polysaccharides and dietary protein according to the KEGG annotation. Analysis of antibiotic resistance based on the CARD database annotation indicated that the macB resistant gene might play an important role in shaping the microbial community in the cecum of pigs with contrasting FE. The bacteria from the genus Prevotella was highly enriched in the cecum of low FE pigs, which may impair the establishment of a more effective nutrient harvesting microbiota because of the interaction between Prevotella and other benefical microbes. These findings improved our understanding of the microbial compositions in the different gut locations of DLY pigs and identified many biomarkers associated with FE variation wich may be used to develop strategies to improve FE in pigs.
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Affiliation(s)
- Jianping Quan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China.,Department of Animal Science, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Yong Ye
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Longlong Peng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Jie Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Donglin Ruan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Yibin Qiu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Rongrong Ding
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Xingwang Wang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Wen Huang
- Department of Animal Science, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
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35
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Gebhardt JT, Thomson KA, Woodworth JC, Dritz SS, Tokach MD, DeRouchey JM, Goodband RD, Jones CK, Cochrane RA, Niederwerder MC, Fernando S, Abbas W, Burkey TE. Effect of dietary medium-chain fatty acids on nursery pig growth performance, fecal microbial composition, and mitigation properties against porcine epidemic diarrhea virus following storage. J Anim Sci 2020; 98:skz358. [PMID: 31758795 PMCID: PMC6978897 DOI: 10.1093/jas/skz358] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/21/2019] [Indexed: 12/15/2022] Open
Abstract
An experiment was conducted to evaluate the effect of dietary medium-chain fatty acid (MCFA) addition on nursery pig growth performance, fecal microbial composition, and mitigation of porcine epidemic diarrhea virus (PEDV) following storage. A total of 360 pigs (DNA 400 × 200, Columbus, NE; initially 6.7 ± 0.07 kg) were randomized to pens (5 pigs per pen) on the day of weaning (approximately 20 d of age), allowed a 6-d acclimation, blocked by BW, and randomized to dietary treatment (9 pens per treatment). All MCFA (Sigma-Aldrich, St. Louis, MO) were guaranteed ≥98% purity, including hexanoic (C6:0), octanoic (C8:0), and decanoic (C10:0) acids. Treatment diets were formulated in 2 phases (7 to 11 and 11 to 23 kg BW) and formulated to meet or exceed NRC requirement estimates. Treatments (n = 8) were a dose response including 0%, 0.25%, 0.5%, 1.0%, and 1.5% added MCFA blend (1:1:1 ratio C6:0, C8:0, and C10:0), as well as treatments with individual additions of 0.5% C6:0, C8:0, or C10:0. Fecal samples were collected from pigs fed control and 1.5% MCFA blend diets on days 0 and 14 and analyzed using 16s rDNA sequencing. Following feed manufacture, feed was stored in bags at barn temperature and humidity for 40 d before laboratory inoculation with PEDV. Subsamples of retained feed were inoculated with PEDV to achieve a titer of 104 TCID50/g and separate sample bottles were analyzed on 0 and 3 d post-inoculation (dpi). Overall, ADG and ADFI were increased (linear, P ≤ 0.010) and feed efficiency (G:F) improved (linear, P = 0.004) with increasing MCFA blend. Pigs fed 0.5% C8:0 had greater (P = 0.038) ADG compared with pigs fed the control diet, and G:F was improved (P ≤ 0.024) when pigs were fed 0.5% C6:0, 0.5% C8:0, or 0.5% C10:0 compared with control. An inclusion level × day interaction was observed (quadratic, P = 0.023), where PEDV Ct values increased (quadratic, P = 0.001) on 0 dpi with increasing levels of MCFA blend inclusion and also increased on 3 dpi (linear, P < 0.001). Fecal microbial diversity and composition were similar between control and 1.5% MCFA blend. In summary, the use of MCFA in nursery pig diets improves growth performance, provides residual mitigation activity against PEDV, and does not significantly alter fecal microbial composition.
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Affiliation(s)
- Jordan T Gebhardt
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Katelyn A Thomson
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Jason C Woodworth
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Steve S Dritz
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS
| | - Michael D Tokach
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Joel M DeRouchey
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Robert D Goodband
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Cassandra K Jones
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Roger A Cochrane
- Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS
| | - Megan C Niederwerder
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS
| | - Samodha Fernando
- Department of Animal Science, College of Agricultural Sciences and Natural Resources, University of Nebraska, Lincoln, NE
| | - Waseem Abbas
- Department of Animal Science, College of Agricultural Sciences and Natural Resources, University of Nebraska, Lincoln, NE
| | - Thomas E Burkey
- Department of Animal Science, College of Agricultural Sciences and Natural Resources, University of Nebraska, Lincoln, NE
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36
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Improvement of Feed Efficiency in Pigs through Microbial Modulation via Fecal Microbiota Transplantation in Sows and Dietary Supplementation of Inulin in Offspring. Appl Environ Microbiol 2019; 85:AEM.01255-19. [PMID: 31519656 DOI: 10.1128/aem.01255-19] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 08/26/2019] [Indexed: 02/06/2023] Open
Abstract
As previous studies have demonstrated a link between the porcine intestinal microbiome and feed efficiency (FE), microbiota manipulation may offer a means of improving FE in pigs. A fecal microbiota transplantation procedure (FMTp), using fecal extracts from highly feed-efficient pigs, was performed in pregnant sows (n = 11), with a control group (n = 11) receiving no FMTp. At weaning, offspring were allocated, within sow treatment, to (i) control (n = 67; no dietary supplement) or (ii) inulin (n = 65; 6-week dietary inulin supplementation) treatments. The sow FMTp, alone or in combination with inulin supplementation in offspring, reduced offspring body weight by 8.1 to 10.6 kg at ∼140 days of age, but there was no effect on feed intake. It resulted in better FE, greater bacterial diversity, and higher relative abundances of potentially beneficial bacterial taxa (Fibrobacter and Prevotella) in offspring. Due to the FMTp and/or inulin supplementation, relative abundances of potential pathogens (Chlamydia and Treponema) in the ileum and cecal concentrations of butyric acid were significantly lower. The maternal FMTp led to a greater number of jejunal goblet cells in offspring. Inulin supplementation alone did not affect growth or FE but upregulated duodenal genes linked to glucose and volatile fatty acid homeostasis and increased the mean platelet volume but reduced ileal propionic acid concentrations, granulocyte counts, and serum urea concentrations. Overall, the FMTp in pregnant sows, with or without dietary inulin supplementation in offspring, beneficially modulated offspring intestinal microbiota (albeit mostly low-relative-abundance taxa) and associated physiological parameters. Although FE was improved, the detrimental effect on growth limits the application of this FMTp-inulin strategy in commercial pig production.IMPORTANCE As previous research suggests a link between microbiota and FE, modulation of the intestinal microbiome may be effective in improving FE in pigs. The FMTp in gestating sows, alone or in combination with postweaning dietary inulin supplementation in offspring, achieved improvements in FE and resulted in a higher relative abundance of intestinal bacteria associated with fiber degradation and a lower relative abundance of potential pathogens. However, there was a detrimental effect on growth, although this may not be wholly attributable to microbiota transplantation, as antibiotic and other interventions were also part of the FMT regimen. Therefore, further work with additional control groups is needed to disentangle the effects of each component of the FMTp in order to develop a regimen with practical applications in pig production. Additional research based on findings from this study may also identify specific dietary supplements for the promotion/maintenance of the microbiota transferred via the maternal FMTp, thereby optimizing pig growth and FE.
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37
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Maltecca C, Bergamaschi M, Tiezzi F. The interaction between microbiome and pig efficiency: A review. J Anim Breed Genet 2019; 137:4-13. [PMID: 31576623 DOI: 10.1111/jbg.12443] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/05/2019] [Accepted: 09/06/2019] [Indexed: 12/22/2022]
Abstract
The existence of genetic control over the abundance of particular taxa and the link of these to energy balance and growth has been documented in model organisms and humans as well as several livestock species. Preliminary evidence of the same mechanisms is currently under investigation in pigs. Future research should expand these results and elicit the extent of genetic control of the gut microbiome population in swine and its relationship with growth efficiency. The quest for a more efficient pig at the interface between the host and its metagenome rests on the central hypothesis that the gut microbiome is an essential component of the variability of growth in all living organisms. Swine do not escape this general rule, and the identification of the significance of the interaction between host and its gut microbiota in the growth process could be a game-changer in the achievement of sustainable and efficient lean meat production. Standard sampling protocols, sequencing techniques, bioinformatic pipelines and methods of analysis will be paramount for the portability of results across experiments and populations. Likewise, characterizing and accounting for temporal and spatial variability will be a necessary step if microbiome is to be utilized routinely as an aid to selection.
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Affiliation(s)
- Christian Maltecca
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
| | - Matteo Bergamaschi
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
| | - Francesco Tiezzi
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
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