Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis
The gut microbiota comprises a large and diverse community of bacteria that play a significant role in swine health. Indeed, there is a tight association between the enteric immune system and the overall composition and richness of the microbiota, which is key in the induction, training and function...
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MDPI AG
2020-07-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/8/8/1151 |
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| author | Peris M. Munyaka Fany Blanc Jordi Estellé Gaëtan Lemonnier Jean-Jacques Leplat Marie-Noëlle Rossignol Déborah Jardet Graham Plastow Yvon Billon Benjamin P. Willing Claire Rogel-Gaillard |
| author_facet | Peris M. Munyaka Fany Blanc Jordi Estellé Gaëtan Lemonnier Jean-Jacques Leplat Marie-Noëlle Rossignol Déborah Jardet Graham Plastow Yvon Billon Benjamin P. Willing Claire Rogel-Gaillard |
| author_sort | Peris M. Munyaka |
| collection | DOAJ |
| description | The gut microbiota comprises a large and diverse community of bacteria that play a significant role in swine health. Indeed, there is a tight association between the enteric immune system and the overall composition and richness of the microbiota, which is key in the induction, training and function of the host immunity, and may therefore, influence the immune response to vaccination. Using vaccination against <i>Mycoplasma hyopneumoniae</i> (<i>M. hyo</i>) as a model, we investigated the potential of early-life gut microbiota in predicting vaccine response and explored the post-vaccination dynamics of fecal microbiota at later time points. At 28 days of age (0 days post-vaccination; dpv), healthy piglets were vaccinated, and a booster vaccine was administered at 21 dpv. Blood samples were collected at 0, 21, 28, 35, and 118 dpv to measure <i>M. hyo</i>-specific IgG levels. Fecal samples for 16S rRNA gene amplicon sequencing were collected at 0, 21, 35, and 118 dpv. The results showed variability in antibody response among individual pigs, whilst pre-vaccination operational taxonomic units (OTUs) primarily belonging to <i>Prevotella</i>, [<i>Prevotella</i>], <i>Anaerovibrio</i>, and <i>Sutterella</i> appeared to best-predict vaccine response. Microbiota composition did not differ between the vaccinated and non-vaccinated pigs at post-vaccination time points, but the time effect was significant irrespective of the animals’ vaccination status. Our study provides insight into the role of pre-vaccination gut microbiota composition in vaccine response and emphasizes the importance of studies on full metagenomes and microbial metabolites aimed at deciphering the role of specific bacteria and bacterial genes in the modulation of vaccine response. |
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| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-10T18:07:34Z |
| publishDate | 2020-07-01 |
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| series | Microorganisms |
| spelling | doaj.art-b02a87b4ab4a46548785ca4a3d3c85d52023-11-20T08:24:11ZengMDPI AGMicroorganisms2076-26072020-07-0188115110.3390/microorganisms8081151Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota AnalysisPeris M. Munyaka0Fany Blanc1Jordi Estellé2Gaëtan Lemonnier3Jean-Jacques Leplat4Marie-Noëlle Rossignol5Déborah Jardet6Graham Plastow7Yvon Billon8Benjamin P. Willing9Claire Rogel-Gaillard10Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceDepartment of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, AB T6G 2R3, CanadaINRAE, GenESI, 17700 Surgères, FranceDepartment of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, AB T6G 2R3, CanadaUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, FranceThe gut microbiota comprises a large and diverse community of bacteria that play a significant role in swine health. Indeed, there is a tight association between the enteric immune system and the overall composition and richness of the microbiota, which is key in the induction, training and function of the host immunity, and may therefore, influence the immune response to vaccination. Using vaccination against <i>Mycoplasma hyopneumoniae</i> (<i>M. hyo</i>) as a model, we investigated the potential of early-life gut microbiota in predicting vaccine response and explored the post-vaccination dynamics of fecal microbiota at later time points. At 28 days of age (0 days post-vaccination; dpv), healthy piglets were vaccinated, and a booster vaccine was administered at 21 dpv. Blood samples were collected at 0, 21, 28, 35, and 118 dpv to measure <i>M. hyo</i>-specific IgG levels. Fecal samples for 16S rRNA gene amplicon sequencing were collected at 0, 21, 35, and 118 dpv. The results showed variability in antibody response among individual pigs, whilst pre-vaccination operational taxonomic units (OTUs) primarily belonging to <i>Prevotella</i>, [<i>Prevotella</i>], <i>Anaerovibrio</i>, and <i>Sutterella</i> appeared to best-predict vaccine response. Microbiota composition did not differ between the vaccinated and non-vaccinated pigs at post-vaccination time points, but the time effect was significant irrespective of the animals’ vaccination status. Our study provides insight into the role of pre-vaccination gut microbiota composition in vaccine response and emphasizes the importance of studies on full metagenomes and microbial metabolites aimed at deciphering the role of specific bacteria and bacterial genes in the modulation of vaccine response.https://www.mdpi.com/2076-2607/8/8/1151vaccinationmicrobiotapigprediction<i>Mycoplasma hyopneumoniae</i> |
| spellingShingle | Peris M. Munyaka Fany Blanc Jordi Estellé Gaëtan Lemonnier Jean-Jacques Leplat Marie-Noëlle Rossignol Déborah Jardet Graham Plastow Yvon Billon Benjamin P. Willing Claire Rogel-Gaillard Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis Microorganisms vaccination microbiota pig prediction <i>Mycoplasma hyopneumoniae</i> |
| title | Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis |
| title_full | Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis |
| title_fullStr | Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis |
| title_full_unstemmed | Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis |
| title_short | Discovery of Predictors of <i>Mycoplasma hyopneumoniae</i> Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis |
| title_sort | discovery of predictors of i mycoplasma hyopneumoniae i vaccine response efficiency in pigs 16s rrna gene fecal microbiota analysis |
| topic | vaccination microbiota pig prediction <i>Mycoplasma hyopneumoniae</i> |
| url | https://www.mdpi.com/2076-2607/8/8/1151 |
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