Analysis of Temporal Fecal Microbiota Dynamics in Weaner Pigs with and Without Exposure to Enterotoxigenic Escherichia Coli1,2

Overview

Journal J Anim Sci

Date 2018 Jul 9

PMID 29982429

Citations 23

Authors

Jolinda Pollock

David L Gally

Laura Glendinning

Raksha Tiwari

Michael R Hutchings

Jos G M Houdijk

Affiliations

Soon will be listed here.

Abstract

The primary aim of this work was to study potential effects of subclinical enterotoxigenic Escherichia coli (ETEC) exposure on porcine fecal microbiota composition, with a secondary aim of profiling temporal shifts in bacterial communities over the weaning transition period. 16S rRNA gene metabarcoding and quantitative PCR (qPCR) were used to profile the fecal microbiota and quantify ETEC excretion in the feces, respectively. Temporal shifts in fecal microbiota structure and stability were observed across the immediate postweaning period (P < 0.05), including significant shifts in the relative levels of specific bacterial phylotypes (P < 0.05). ETEC exposure did not change the fecal microbiota structure (P > 0.05), but significant variations in fecal community structure and stability were linked to variations in ETEC excretion level at particular time points (P < 0.05). In this study, marked temporal changes in microbiota structure and stability were evident over the short weaning transition period, with a relationship between ETEC excretion level and fecal microbiota composition being observed. This study has provided a detailed analysis of fecal microbiota dynamics in the pig, which should help to inform the development of novel management strategies for enteric disorders based on an improved understanding of microbial populations during the challenging postweaning period.

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References

Holman D, Chenier M . Temporal changes and the effect of subtherapeutic concentrations of antibiotics in the gut microbiota of swine. FEMS Microbiol Ecol. 2014; 90(3):599-608. DOI: 10.1111/1574-6941.12419. View

Hu J, Nie Y, Chen J, Zhang Y, Wang Z, Fan Q . Gradual Changes of Gut Microbiota in Weaned Miniature Piglets. Front Microbiol. 2016; 7:1727. PMC: 5090779. DOI: 10.3389/fmicb.2016.01727. View

Schloss P, Schubert A, Zackular J, Iverson K, Young V, Petrosino J . Stabilization of the murine gut microbiome following weaning. Gut Microbes. 2012; 3(4):383-93. PMC: 3463496. DOI: 10.4161/gmic.21008. View

Luppi A, Gibellini M, Gin T, Vangroenweghe F, Vandenbroucke V, Bauerfeind R . Prevalence of virulence factors in enterotoxigenic isolated from pigs with post-weaning diarrhoea in Europe. Porcine Health Manag. 2017; 2:20. PMC: 5382528. DOI: 10.1186/s40813-016-0039-9. View

Schloss P, Westcott S, Ryabin T, Hall J, Hartmann M, Hollister E . Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009; 75(23):7537-41. PMC: 2786419. DOI: 10.1128/AEM.01541-09. View

Pinto A, Raskin L . PCR biases distort bacterial and archaeal community structure in pyrosequencing datasets. PLoS One. 2012; 7(8):e43093. PMC: 3419673. DOI: 10.1371/journal.pone.0043093. View

Bearson S, Allen H, Bearson B, Looft T, Brunelle B, Kich J . Profiling the gastrointestinal microbiota in response to Salmonella: low versus high Salmonella shedding in the natural porcine host. Infect Genet Evol. 2013; 16:330-40. DOI: 10.1016/j.meegid.2013.03.022. View

Mandal S, Van Treuren W, White R, Eggesbo M, Knight R, Peddada S . Analysis of composition of microbiomes: a novel method for studying microbial composition. Microb Ecol Health Dis. 2015; 26:27663. PMC: 4450248. DOI: 10.3402/mehd.v26.27663. View

Werner J, Koren O, Hugenholtz P, DeSantis T, Walters W, Caporaso J . Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys. ISME J. 2011; 6(1):94-103. PMC: 3217155. DOI: 10.1038/ismej.2011.82. View

10.

Liu H, Ivarsson E, Dicksved J, Lundh T, Lindberg J . Inclusion of chicory (Cichorium intybus L.) in pigs' diets affects the intestinal microenvironment and the gut microbiota. Appl Environ Microbiol. 2012; 78(12):4102-9. PMC: 3370552. DOI: 10.1128/AEM.07702-11. View

11.

Excoffier L, Smouse P, Quattro J . Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics. 1992; 131(2):479-91. PMC: 1205020. DOI: 10.1093/genetics/131.2.479. View

12.

Hampson D, Hinton M, KIDDER D . Coliform numbers in the stomach and small intestine of healthy pigs following weaning at three weeks of age. J Comp Pathol. 1985; 95(3):353-62. DOI: 10.1016/0021-9975(85)90039-8. View

13.

Lamendella R, Santo Domingo J, Ghosh S, Martinson J, Oerther D . Comparative fecal metagenomics unveils unique functional capacity of the swine gut. BMC Microbiol. 2011; 11:103. PMC: 3123192. DOI: 10.1186/1471-2180-11-103. View

14.

Geenen P, van der Meulen J, Bouma A, Engel B, Heesterbeek J, de Jong M . Classification of temporal profiles of F4+ E. coli shedding and faecal dry matter in experimental post-weaning diarrhoea of pigs. Epidemiol Infect. 2006; 135(6):1001-9. PMC: 2870645. DOI: 10.1017/S0950268806007588. View

15.

Kim H, Borewicz K, White B, Singer R, Sreevatsan S, Tu Z . Microbial shifts in the swine distal gut in response to the treatment with antimicrobial growth promoter, tylosin. Proc Natl Acad Sci U S A. 2012; 109(38):15485-90. PMC: 3458334. DOI: 10.1073/pnas.1205147109. View

16.

Kozich J, Westcott S, Baxter N, Highlander S, Schloss P . Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl Environ Microbiol. 2013; 79(17):5112-20. PMC: 3753973. DOI: 10.1128/AEM.01043-13. View

17.

den Hil P, Litjens R, Oudshoorn A, Resink J, Smits C . New perspectives to the enterotoxigenic E. coli F4 porcine infection model: Susceptibility genotypes in relation to performance, diarrhoea and bacterial shedding. Vet Microbiol. 2016; 202:58-63. DOI: 10.1016/j.vetmic.2016.09.008. View

18.

Kim H, Borewicz K, White B, Singer R, Sreevatsan S, Tu Z . Longitudinal investigation of the age-related bacterial diversity in the feces of commercial pigs. Vet Microbiol. 2011; 153(1-2):124-33. DOI: 10.1016/j.vetmic.2011.05.021. View

19.

Mach N, Berri M, Estelle J, Levenez F, Lemonnier G, Denis C . Early-life establishment of the swine gut microbiome and impact on host phenotypes. Environ Microbiol Rep. 2015; 7(3):554-69. DOI: 10.1111/1758-2229.12285. View

20.

DeSantis T, Hugenholtz P, Larsen N, Rojas M, Brodie E, Keller K . Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol. 2006; 72(7):5069-72. PMC: 1489311. DOI: 10.1128/AEM.03006-05. View