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Breyer GM, De Carli S, Muterle Varela AP, Mann MB, Frazzon J, Quoos Mayer F, Siqueira FM. Carrier state of enterotoxigenic Escherichia coli virulence markers in pigs: Effects on gut microbiota modulation and immune markers transcription. Microb Pathog 2024; 191:106662. [PMID: 38663640 DOI: 10.1016/j.micpath.2024.106662] [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: 12/08/2023] [Revised: 04/01/2024] [Accepted: 04/20/2024] [Indexed: 05/24/2024]
Abstract
Enterotoxigenic Escherichia coli (ETEC) causes diarrhea in pigs at early age, leading to high mortality rates and significant economic losses in the swine industry. ETEC effect on gut microbiota and immune system is mostly studied in diarrheic model under controlled laboratory conditions, however its impact on asymptomatic carriers remains unknown. Thus, we investigated whether ETEC can modulate gut microbiota or regulate the transcription of immune markers in asymptomatic pigs in farm environment. Stool samples from newborn piglets, nursery and growing pigs, and sows were screened for ETEC markers, then submitted to 16S-rDNA sequencing to explore gut microbiota composition in carriers (ETEC+) and non-carriers (ETEC-) animals. We observed a reduced α-diversity in ETEC+ animals (p < 0.05), while bacterial compositions were mostly driven by ageing (p > 0.05). Prevotella marked ETEC-carrier group, while Rikenellaceae RC9 gut group was a marker for a healthy gut microbiota, suggesting that they might be biomarker candidates for surveillance and supplementation purposes. Furthermore, we observed transcription regulation of il6 and tff2 genes in ETEC+ in newborn and nursery stages, respectively. Our findings indicate that ETEC presence modulate gut microbiota and the immune response in asymptomatic pigs; nevertheless, further studies using a probabilistic design must be performed to assess the effect of ETEC presence on gut imbalance in pigs despite the age bias.
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Affiliation(s)
- Gabriela Merker Breyer
- Laboratório de Bacteriologia Veterinária (LaBacVet), Universidade Federal Do Rio Grande Do Sul, Departamento de Patologia Veterinária, Porto Alegre, Brazil; Programa de Pós-Graduação Em Ciências Veterinárias, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Silvia De Carli
- Laboratório de Bacteriologia Veterinária (LaBacVet), Universidade Federal Do Rio Grande Do Sul, Departamento de Patologia Veterinária, Porto Alegre, Brazil; Programa de Pós-Graduação Em Ciências Veterinárias, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Ana Paula Muterle Varela
- Programa de Pós-Graduação Em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Michele Bertoni Mann
- Programa de Pós-Graduação Em Microbiologia Agrícola e Do Ambiente, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Jeverson Frazzon
- Programa de Pós-Graduação Em Microbiologia Agrícola e Do Ambiente, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil; Laboratório de Bioquímica e Biologia Molecular de Microrganismos, Departamento de Ciência de Alimentos, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Fabiana Quoos Mayer
- Centro de Pesquisa Em Saúde Animal, Instituto de Pesquisas Veterinárias Desidério Finamor, Departamento de Diagnóstico e Pesquisa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Eldorado Do Sul, Brazil; Departamento de Biologia Molecular e Biotecnologia, Instituto de Biociências, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Franciele Maboni Siqueira
- Laboratório de Bacteriologia Veterinária (LaBacVet), Universidade Federal Do Rio Grande Do Sul, Departamento de Patologia Veterinária, Porto Alegre, Brazil; Programa de Pós-Graduação Em Ciências Veterinárias, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.
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Tan Z, Li J, He Y, Wang F, Xiao Q. Characteristics of gut microbiota and metabolomic of Hainan Tunchang pigs at various growth stages. Gene 2024; 900:148161. [PMID: 38219876 DOI: 10.1016/j.gene.2024.148161] [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: 09/18/2023] [Revised: 01/03/2024] [Accepted: 01/11/2024] [Indexed: 01/16/2024]
Abstract
Numerous gut microorganisms residing in the gut tract and their metabolites play an important role in animal growth. Diet, as the main factor, affects the changes of gut microbiota, and host genetics also have a significant impact on gut microbiota, including growth stages. However, the differences of gut microbiota and its metabolites at various growth stages in local pig breed remains unclear. We used 16S rRNA gene sequencing and untargeted metabolomics to investigate the fecal microbiota and metabolites in different developmental stages of Hainan Tunchang pigs. The relative proportions of dominant bacteria Firmicutes and Spirochaetes increased, Bacteroidetes and Proteobacteria decreased with the development. As age increased, different physiological states led to structural and functional changes in animal nutrition metabolism and immune needs, as well as changes in gut microbiota and its metabolites. We have detected several statistically different microbial and metabolic biomarkers at different growth stages. Meanwhile, through correlation analysis between differential bacteria and metabolites, it was found that the bacteria forming networks with their significant related metabolites were different at various growth stages, Holdemanella, Sharpea, Subdoligranulum, and uncultured_bacterium_o_Bacteroidales were enriched between preweaning piglets and weaning piglets, and they all positive correlated with related metabolites. We also found that the differential bacteria were significantly related to short-chain fatty acid. These findings might provide new insights into the developmental changes of gut microbiota in local pig breeds and the interaction mechanism between the body, and improve pig growth performance and efficiency by regulating the composition of gut microbiota and metabolites.
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Affiliation(s)
- Zhen Tan
- School of Tropical Agriculture and Forestry, Hainan University, 571737 Danzhou, PR China.
| | - Jie Li
- School of Tropical Agriculture and Forestry, Hainan University, 571737 Danzhou, PR China
| | - Yingzhi He
- School of Tropical Agriculture and Forestry, Hainan University, 571737 Danzhou, PR China
| | - Feifan Wang
- School of Tropical Agriculture and Forestry, Hainan University, 571737 Danzhou, PR China
| | - Qian Xiao
- School of Tropical Agriculture and Forestry, Hainan University, 571737 Danzhou, PR China.
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3
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Qiu L, Guo X, Liang Z, Lu Q, Wang S, Shim H. Uncovering the metabolic pathway of novel Burkholderia sp. for efficient triclosan degradation and implication: Insight from exogenous bioaugmentation and toxicity pressure. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122111. [PMID: 37392866 DOI: 10.1016/j.envpol.2023.122111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/20/2023] [Accepted: 06/24/2023] [Indexed: 07/03/2023]
Abstract
Triclosan (TCS), a synthetic and broad-spectrum antimicrobial agent, is frequently detected in various environmental matrices. A novel TCS degrading bacterial strain, Burkholderia sp. L303, was isolated from local activated sludge. The strain could metabolically degrade TCS up to 8 mg/L, and optimal conditions for TCS degradation were at temperature of 35 °C, pH 7, and an increased inoculum size. During TCS degradation, several intermediates were identified, with the initial degradation occurring mainly through hydroxylation of aromatic ring, followed by dechlorination. Further intermediates such as 2-chlorohydroquinone, 4-chlorocatechol, and 4-chlorophenol were produced via ether bond fission and C-C bond cleavage, which could be further transformed into unchlorinated compounds, ultimately resulting in the complete stoichiometric free chloride release. Bioaugmentation of strain L303 in non-sterile river water demonstrated better degradation than in sterile water. Further exploration of the microbial communities provided insights into the composition and succession of the microbial communities under the TCS stress as well as during the TCS biodegradation process in real water samples, the key microorganisms involved in TCS biodegradation or showing resistance to the TCS toxicity, and the changes in microbial diversity related to exogenous bioaugmentation, TCS input, and TCS elimination. These findings shed light on the metabolic degradation pathway of TCS and highlight the significance of microbial communities in the bioremediation of TCS-contaminated environments.
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Affiliation(s)
- Lan Qiu
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China
| | - Xiaoyuan Guo
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China
| | - Zhiwei Liang
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China; Department of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Qihong Lu
- Department of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Shanquan Wang
- Department of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Hojae Shim
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
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Du J, Gan M, Xie Z, Du G, Luo Y, Liu B, Zhu K, Chen L, Zhao Y, Niu L, Wang Y, Wang J, Zhu L, Shen L. A Comparative Study on the Growth Performance and Gut Microbial Composition of Duroc and Yorkshire Boars. Genes (Basel) 2023; 14:1726. [PMID: 37761866 PMCID: PMC10531244 DOI: 10.3390/genes14091726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
The intestinal microbiota is required for maintaining the development and health of the host. However, the gut microbiota contributing to the regulation of the growth performance and health of Duroc and Yorkshire boars remains largely unknown. In this study, we first evaluated the difference in the growth performance between Duroc and Yorkshire boars when their body weight reached 100 kg. Relative to Duroc boars, Yorkshire boars weighed 100 kg at a younger age and exhibited a significantly lower backfat thickness and eye muscle area. Microbial analysis of the fecal samples revealed a marked difference in gut microbiota composition between the two pig models and remarkably increased α-diversity in Yorkshire boars compared to Duroc boars. Further analysis indicated that Bacteroidota, Prevotellaceae, and Ruminococcaceae might be associated with the growth performance and lean meat rate of Yorkshire boars. Taken together, these results highlight that Yorkshire boars exhibit a faster growth rate and higher lean meat rate compared to Duroc boars, and these differences may be attributed to the influence of the gut microbiota, thereby providing valuable insight into optimizing pig breeding systems and selecting terminal paternal sires to enhance overall productivity and quality.
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Affiliation(s)
- Junhua Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Mailin Gan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhongwei Xie
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Gao Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yi Luo
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Bin Liu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Kangping Zhu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu 610200, China; (Y.L.); (B.L.); (K.Z.)
| | - Lei Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ye Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Niu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jingyong Wang
- Chongqing Academy of Animal Science, Chongqing 402460, China;
| | - Li Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Linyuan Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.D.); (M.G.); (Z.X.); (G.D.); (L.C.); (Y.Z.); (L.N.); (Y.W.); (L.Z.)
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
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5
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Correlation between fat accumulation and fecal microbiota in crossbred pigs. J Microbiol 2022; 60:1077-1085. [DOI: 10.1007/s12275-022-2218-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/05/2022] [Accepted: 08/22/2022] [Indexed: 10/14/2022]
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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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Shen R, Zhang S, Liang Z, Mai B, Wang S. Mechanistic insight into co-metabolic dechlorination of hexachloro-1,3-butadiene in Dehalococcoides. WATER RESEARCH 2022; 220:118725. [PMID: 35709597 DOI: 10.1016/j.watres.2022.118725] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/06/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Hexachloro-1,3-butadiene (HCBD) as one of emerging persistent organic pollutants (POPs) poses potential risk to human health and ecosystems. Organohalide-respiring bacteria (OHRB)-mediated reductive dehalogenation represents a promising strategy to remediate HCBD-contaminated sites. Nonetheless, information on the HCBD-dechlorinating OHRB and their dechlorination pathways remain unknown. In this study, both in vivo and in vitro experiments, as well as quantum chemical calculation, were employed to successfully identify and characterize the reductive dechlorination of HCBD by Dehalococcoides. Results showed that some Dehalococcoides extensively dechlorinated HCBD to (E)-1,2,3-tri-CBD via (E)-1,1,2,3,4-penta-CBD and (Z,E)-1,2,3,4-tetra-CBD in a co-metabolic way. Both qPCR and 16S rRNA gene amplicon sequencing analyses suggested that the HCBD-dechlorinating Dehalococcoides coupled their cell growth with dechlorination of perchloroethene (PCE), rather than HCBD. The in vivo and in vitro ATPase assays indicated ≥78.89% decrease in ATPase activity upon HCBD addition, which suggested HCBD inhibition on ATPase-mediated energy harvest and provided rationality on the Dehalococcoides-mediated co-metabolic dechlorination of HCBD. Interestingly, dehalogenation screening of organohalides with the HCBD-dechlorinating enrichment cultures showed that debromination of bromodichloromethane (BDCM) was active in the in vitro RDase assays but non-active in the in vivo experiments. Further in vitro assays of hydrogenase activity suggested that significant inhibition of BDCM on the hydrogenase activity could block electron derivation from H2 for consequent reduction of organohalides in the in vivo experiments. Therefore, our results provided unprecedented insight into metabolic, co-metabolic and RDase-active-only dehalogenation of varied organohalides by specific OHRB, which could guide future screening of OHRB for remediation of sites contaminated by HCBD and other POPs.
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Affiliation(s)
- Rui Shen
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou, 510006 China
| | - Shangwei Zhang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou, 510006 China
| | - Zhiwei Liang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou, 510006 China
| | - Bixian Mai
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640 China
| | - Shanquan Wang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou, 510006 China.
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8
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Gut Microbiota Composition and Diversity in Different Commercial Swine Breeds in Early and Finishing Growth Stages. Animals (Basel) 2022; 12:ani12131607. [PMID: 35804507 PMCID: PMC9264831 DOI: 10.3390/ani12131607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/19/2022] [Accepted: 06/20/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary The gut microbiota are involved in the metabolism of nutrients, and the growth and development of pig is strongly influenced by the gut microbiome. To maintain the integrity of the intestinal barrier and promote the digestion and absorption of nutrients and other physiological activities, it is beneficial if the host has a stable gut microbial community. The composition of the gut microbiota is influenced by many factors, such as genetic and environmental factors, and it changes with age. Throughout pig growth and development, the porcine gut microbiota constantly changes in composition. This study investigated the regulation of growth and development of body weight and body size index. We further examined changes in gut microbiota during early and finishing growth stages in Duroc, Landrace and Yorkshire pigs. Results showed that the microbiota of Landrace and Yorkshire pigs were more similar compared with Duroc pigs. There were significant differences in gut microbiota in the early and late growth stages. This study underlines the longitudinal variation in breed and lateral variation in age in gut microbiota. Abstract The gut microbiota affects the metabolism, health and growth rate of pigs. Understanding the characteristics of gut microbiota of different pig breeds at each growth stage will enable the design of individualized feeding strategies. The present study aimed to compare the growth curves and development patterns of pigs of three different breeds (Duroc, Landrace and Yorkshire) using the mathematical models Gompertz, Logistic, Von Bertalanffy and Richards. For Duroc pigs, the Gompertz model showed the highest prediction accuracy (R2 = 0.9974). In contrast, the best models for Landrace and Yorkshire pigs were Richards (R2 = 0.9986) and Von Bertalanffy (R2 = 0.9977), respectively. Path analysis showed that body length (path coefficient = 0.507) and chest circumference (path coefficient = 0.532) contributed more significantly to the body weight of pigs at the early growth stage, while hip circumference (path coefficient = 0.312) had a greater influence on pig body weight in the late growth stage. Moreover, the composition of the gut microbiota of pigs at two growth stages (60 kg of body weight in the early growth stage and 120 kg in the finishing stage) was studied using 16S rRNA sequencing technology. Variations in gut microbiota composition of pigs at different growth stages were observed. KEGG pathway enrichment analysis of annotated metagenomes revealed that protein synthesis and amino acid metabolism pathways were significantly enriched in pigs at the early growth stage, which may be related to nutritional requirements of pigs during this stage. This study confirmed longitudinal variation in the gut microbiota of pigs pertaining to age as well as lateral variation related to pig breed. The present findings expand the current understanding of the variations in swine gut microbiota during production stages.
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Lu C, Liu Y, Ma Y, Wang S, Cai C, Yang Y, Zhao Y, Liang G, Cao G, Li B, Kim SW, Guo X, Gao P. Comparative Evaluation of the Ileum Microbiota Composition in Piglets at Different Growth Stages. Front Microbiol 2021; 12:765691. [PMID: 34925272 PMCID: PMC8672721 DOI: 10.3389/fmicb.2021.765691] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Intestinal microbiota can affect the intake, storage, and absorption of nutrients in the body, thereby greatly impacting the growth and development of animals. In addition to diet, the breed and growth stages of pigs could also affect changes in the intestinal microbiota. However, research on the developmental changes in the ileum microbiota of piglets remains unclear. In this study, the ileum microbiota of Jinfen White and Mashen piglets at different developmental stages were investigated using 16S rRNA sequencing. Physiologically, the villus height of the ileum decreased, and the crypt depth increased during the development of the two pig breeds. Additionally, the serum antioxidant factors in the Jinfen White piglets were significantly higher than in the Mashen piglets at the end of the nursing stage. A total of 690 operational taxonomic units (OTUs) belonging to 21 phyla and 286 genera were identified, of which Firmicutes and Proteobacteria were the dominant phyla during the development of both the Jinfen White and Mashen piglets, accounting for ∼90% of all OTUs. Further research revealed differences in dominant bacteria between the two breeds. With increasing age, the ileum microbial diversity increased, and in both the pig breeds, the proportion of Firmicutes increased, whereas the proportion of Proteobacteria decreased. Additionally, different samples were characterized by specific genera, and different Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were predicted at certain developmental stages. Finally, the correlation between the ileum microbiota and physiological features was analyzed, and it was suggested that the host and environmental factors play important roles in the formation of the microbial community structure in piglets. In summary, we delineated the structure, function, and differences in ileum microbiota between Jinfen White and Mashen piglets during different growth stages. This study helps to understand the development of the intestinal microbiota in local and hybrid pig breeds.
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Affiliation(s)
- Chang Lu
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Yadan Liu
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Yijia Ma
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Shu Wang
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Chunbo Cai
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Yang Yang
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Yan Zhao
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Guoming Liang
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Guoqing Cao
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Bugao Li
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Sung Woo Kim
- Department of Animal Science, North Carolina State University, Raleigh, NC, United States
| | - Xiaohong Guo
- College of Animal Science, Shanxi Agricultural University, Taigu, China
| | - Pengfei Gao
- College of Animal Science, Shanxi Agricultural University, Taigu, China
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Effect of host breeds on gut microbiome and serum metabolome in meat rabbits. BMC Vet Res 2021; 17:24. [PMID: 33413361 PMCID: PMC7791989 DOI: 10.1186/s12917-020-02732-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/22/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Gut microbial compositional and functional variation can affect health and production performance of farm animals. Analysing metabolites in biological samples provides information on the basic mechanisms that affect the well-being and production traits in farm animals. However, the extent to which host breeds affect the gut microbiome and serum metabolome in meat rabbits is still unknown. In this study, the differences in phylogenetic composition and functional capacities of gut microbiota in two commercial rabbit breeds Elco and Ira were determined by 16S rRNA gene and metagenomic sequencing. The alternations in serum metabolome in the two rabbit breeds were detected using ultra-performance liquid chromatography system coupled with quadrupole time of flight mass spectrometry (UPLC-QTOFMS). RESULTS Sequencing results revealed that there were significant differences in the gut microbiota of the two breeds studied, suggesting that host breeds affect structure and diversity of gut microbiota. Numerous breed-associated microorganisms were identified at different taxonomic levels and most microbial taxa belonged to the families Lachnospiraceae and Ruminococcaceae. In particular, several short-chain fatty acids (SCFAs) producing species including Coprococcus comes, Ruminococcus faecis, Ruminococcus callidus, and Lachnospiraceae bacterium NK4A136 could be considered as biomarkers for improving the health and production performance in meat rabbits. Additionally, gut microbial functional capacities related to bacterial chemotaxis, ABC transporters, and metabolism of different carbohydrates, amino acids, and lipids varied greatly between rabbit breeds. Several fatty acids, amino acids, and organic acids in the serum were identified as breed-associated, where certain metabolites could be regarded as biomarkers correlated with the well-being and production traits of meat rabbits. Correlation analysis between breed-associated microbial species and serum metabolites revealed significant co-variations, indicating the existence of cross-talk among host-gut microbiome-serum metabolome. CONCLUSIONS Our study provides insight into how gut microbiome and serum metabolome of meat rabbits are affected by host breeds and uncovers potential biomarkers important for breed improvement of meat rabbits.
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Compositional and Functional Characteristics of Swine Slurry Microbes through 16S rRNA Metagenomic Sequencing Approach. Animals (Basel) 2020; 10:ani10081372. [PMID: 32784779 PMCID: PMC7460454 DOI: 10.3390/ani10081372] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/31/2020] [Accepted: 08/06/2020] [Indexed: 12/15/2022] Open
Abstract
Traditionally slurry is used as source of nitrogen, phosphorous, and potassium in bio fertilizers to improve crop production. However, poorly managed slurry causes a hazardous effect to the environment by producing greenhouse gases, causing the eutrophication of water bodies, and polluting the groundwater. It has been largely reported that the microbial presence in slurry causing a diverse effect on its storage and disposal system. However, the diversity of bacterial populations in pig slurries remains largely unexplored. Here we report the bacterial diversity present in the slurry from slurry pits, and the effect of storage time on bacterial population. We collected 42 samples from three different pig slurry pits, as three replicates from each one until the 14th week. We used the 16S rRNA, Quantitative Insights Into Microbial Ecology (QIIME) and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) protocols for the metagenomic downstream analysis. Taxonomic annotation using the Greengenes metagenomic database indicated that on an average 76.2% Firmicutes, 14.4% Bacteroidetes, 4.9% Proteobacteria, etc. microbial populations were present. Comparative microbial analysis showed that the population of Firmicutes decreased from the first to the 14th week, whereas the population of Bacteroidetes increased from the first to the 14th week. Through principal coordinate analysis (PCoA), (linear discriminant analysis effect size (LEfSe), and Pearson's correlation analysis, we found microbial biomarkers according to the storage time point. All bacterial populations were well clustered according to the early, middle, and last weeks of storage. LEfSe showed that Actinobacteria, Lachnospiraceae, Ruminococcaceae, and Bacteroidia are dominantly present in first, seventh, ninth, and 14th week, respectively. Lachnospiraceae and Ruminococcaceae are ubiquitous gastrointestinal non-pathogenic bacteria. KEGG pathways, such as membrane transport, carbohydrate and amino acid metabolism, genetic replication and repair, were significant among all samples. Such a KEGG pathway may indicate the association between the host organism's metabolic activity and the microbes present in the gastro intestinal tract (GIT).
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Si J, Feng L, Gao J, Huang Y, Zhang G, Mo J, Zhu S, Qi W, Liang J, Lan G. Evaluating the association between feed efficiency and the fecal microbiota of early-life Duroc pigs using 16S rRNA sequencing. AMB Express 2020; 10:115. [PMID: 32562009 PMCID: PMC7305293 DOI: 10.1186/s13568-020-01050-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/12/2020] [Indexed: 12/19/2022] Open
Abstract
Improving the predication efficiency of porcine production performance at early stage will contribute to reducing the breeding and production costs. The intestinal microbiota had received plenty of attention in recent years due to their influence on host health and performance. The purpose of this study was to investigate the relationship between the fecal microbiota at early growth period and porcine feed efficiency (FE) under a commercial feeding environment. Ninety-one pigs were reordered according to the residual feed intake (RFI) values between day 90 on test and day 160 off test, 9 lowest RFI pigs and 9 highest RFI pigs were selected as the LRFI group and the HRFI group, respectively. Fecal samples from pigs in the early grower phase (day 80) were performed for microbial diversity, composition, and predicted functionality by using 16S rRNA sequencing. The results showed that no significant differences in microbial alpha diversity were observed between two RFI groups, whereas, some RFI-associated compositional differences were revealed. In particular, the microbiota of the LRFI group (more feed-efficient) had significantly higher levels of some members of Clostridiales and Bacteroidales (e.g., g_1_68 and g_norank_f_p_2534_18B5), which may promoted FE through protecting gut barrier function, compared with those of the HRFI pigs. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis found that the LRFI pigs were likely have microbiota with higher levels of amino acid metabolism. Moreover, redundancy analysis (RDA) showed that litter size, parity, and date of birth had significant effects on the bacterial community structure. These results improved our knowledge of the porcine early-life fecal microbiota and its potential link underlying RFI, which would be useful for future development of microbial biomarkers for predicting and improving porcine FE as well as investigation of targets for dietary strategies.
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