Temporal and nutritional effects on the weaner pig ileal microbiota.
Gut
Ileum
Metagenomics
Microbiome
Microbiota
Nutrition
Pigs
Protein
Weaning
Journal
Animal microbiome
ISSN: 2524-4671
Titre abrégé: Anim Microbiome
Pays: England
ID NLM: 101759457
Informations de publication
Date de publication:
28 Aug 2021
28 Aug 2021
Historique:
received:
10
05
2021
accepted:
17
08
2021
entrez:
29
8
2021
pubmed:
30
8
2021
medline:
30
8
2021
Statut:
epublish
Résumé
The porcine gastrointestinal microbiota has been linked to both host health and performance. Most pig gut microbiota studies target faecal material, which is not representative of microbiota dynamics in other discrete gut sections. The weaning transition period in pigs is a key development stage, with gastrointestinal problems being prominent after often sudden introduction to a solid diet. A better understanding of both temporal and nutritional effects on the small intestinal microbiota is required. Here, the development of the porcine ileal microbiota under differing levels of dietary protein was observed over the immediate post-weaning period. Ileal digesta samples were obtained at post-mortem prior to weaning day (day - 1) for baseline measurements. The remaining pigs were introduced to either an 18% (low) or 23% (high) protein diet on weaning day (day 0) and further ileal digesta sampling was carried out at days 5, 9 and 13 post-weaning. We identified significant changes in microbiome structure (P = 0.01), a reduction in microbiome richness (P = 0.02) and changes in the abundance of specific bacterial taxa from baseline until 13 days post-weaning. The ileal microbiota became less stable after the introduction to a solid diet at weaning (P = 0.036), was highly variable between pigs and no relationship was observed between average daily weight gain and microbiota composition. The ileal microbiota was less stable in pigs fed the high protein diet (P = 0.05), with several pathogenic bacterial genera being significantly higher in abundance in this group. Samples from the low protein and high protein groups did not cluster separately by their CAZyme (carbohydrate-active enzyme) composition, but GH33 exosialidases were found to be significantly more abundant in the HP group (P = 0.006). The weaner pig ileal microbiota changed rapidly and was initially destabilised by the sudden introduction to feed. Nutritional composition influenced ileal microbiota development, with the high protein diet being associated with an increased abundance of significant porcine pathogens and the upregulation of GH33 exosialidases-which can influence host-microbe interactions and pathogenicity. These findings contribute to our understanding of a lesser studied gut compartment that is not only a key site of digestion, but also a target for the development of nutritional interventions to improve gut health and host growth performance during the critical weaning transition period.
Sections du résumé
BACKGROUND
BACKGROUND
The porcine gastrointestinal microbiota has been linked to both host health and performance. Most pig gut microbiota studies target faecal material, which is not representative of microbiota dynamics in other discrete gut sections. The weaning transition period in pigs is a key development stage, with gastrointestinal problems being prominent after often sudden introduction to a solid diet. A better understanding of both temporal and nutritional effects on the small intestinal microbiota is required. Here, the development of the porcine ileal microbiota under differing levels of dietary protein was observed over the immediate post-weaning period.
RESULTS
RESULTS
Ileal digesta samples were obtained at post-mortem prior to weaning day (day - 1) for baseline measurements. The remaining pigs were introduced to either an 18% (low) or 23% (high) protein diet on weaning day (day 0) and further ileal digesta sampling was carried out at days 5, 9 and 13 post-weaning. We identified significant changes in microbiome structure (P = 0.01), a reduction in microbiome richness (P = 0.02) and changes in the abundance of specific bacterial taxa from baseline until 13 days post-weaning. The ileal microbiota became less stable after the introduction to a solid diet at weaning (P = 0.036), was highly variable between pigs and no relationship was observed between average daily weight gain and microbiota composition. The ileal microbiota was less stable in pigs fed the high protein diet (P = 0.05), with several pathogenic bacterial genera being significantly higher in abundance in this group. Samples from the low protein and high protein groups did not cluster separately by their CAZyme (carbohydrate-active enzyme) composition, but GH33 exosialidases were found to be significantly more abundant in the HP group (P = 0.006).
CONCLUSIONS
CONCLUSIONS
The weaner pig ileal microbiota changed rapidly and was initially destabilised by the sudden introduction to feed. Nutritional composition influenced ileal microbiota development, with the high protein diet being associated with an increased abundance of significant porcine pathogens and the upregulation of GH33 exosialidases-which can influence host-microbe interactions and pathogenicity. These findings contribute to our understanding of a lesser studied gut compartment that is not only a key site of digestion, but also a target for the development of nutritional interventions to improve gut health and host growth performance during the critical weaning transition period.
Identifiants
pubmed: 34454628
doi: 10.1186/s42523-021-00119-y
pii: 10.1186/s42523-021-00119-y
pmc: PMC8403407
doi:
Types de publication
Journal Article
Langues
eng
Pagination
58Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/K501591/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBS/E/D/20002173
Pays : United Kingdom
Informations de copyright
© 2021. The Author(s).
Références
Sci Rep. 2017 Mar 02;7:43412
pubmed: 28252026
Sci Rep. 2019 Oct 29;9(1):15534
pubmed: 31664137
J Anim Sci. 2018 Sep 7;96(9):3777-3790
pubmed: 29982429
Nucleic Acids Res. 2009 Jan;37(Database issue):D233-8
pubmed: 18838391
Front Cell Infect Microbiol. 2018 Jul 18;8:246
pubmed: 30073151
J Nutr. 2017 Aug;147(8):1499-1509
pubmed: 28659406
Bioinformatics. 2012 Jun 1;28(11):1420-8
pubmed: 22495754
PLoS One. 2018 Dec 20;13(12):e0209439
pubmed: 30571797
Animal. 2008 Jun;2(6):834-42
pubmed: 22443662
Mol Gen Genet. 1991 Apr;226(1-2):190-7
pubmed: 2034213
Microbiol Res. 2016 Jan;182:59-67
pubmed: 26686614
Anim Sci J. 2018 Mar;89(3):537-546
pubmed: 29271556
J Anim Sci Biotechnol. 2015 Apr 09;6(1):14
pubmed: 25954504
Appl Environ Microbiol. 2009 Dec;75(23):7537-41
pubmed: 19801464
Nat Rev Microbiol. 2016 Jan;14(1):20-32
pubmed: 26499895
PLoS One. 2012;7(2):e30126
pubmed: 22319561
J Anim Sci Biotechnol. 2018 Jul 19;9:60
pubmed: 30034802
Bioinformatics. 2014 Aug 1;30(15):2114-20
pubmed: 24695404
Genome Biol. 2014;15(12):550
pubmed: 25516281
J Bacteriol. 2006 Oct;188(19):6719-27
pubmed: 16980474
Sci Rep. 2018 Aug 24;8(1):12727
pubmed: 30143657
Appl Environ Microbiol. 2019 Sep 17;85(19):
pubmed: 31324635
Microorganisms. 2019 Sep 12;7(9):
pubmed: 31547478
Front Microbiol. 2019 May 07;10:977
pubmed: 31134022
Sci Rep. 2018 Mar 14;8(1):4536
pubmed: 29540768
Appl Environ Microbiol. 2017 Jul 17;83(15):
pubmed: 28526795
Genetics. 1992 Jun;131(2):479-91
pubmed: 1644282
J Gen Appl Microbiol. 2007 Apr;53(2):111-7
pubmed: 17575451
Trends Microbiol. 2017 Oct;25(10):851-873
pubmed: 28602521
Appl Environ Microbiol. 2009 Sep;75(17):5489-95
pubmed: 19617391
Biochem Soc Trans. 2016 Feb;44(1):166-75
pubmed: 26862202
Sci Rep. 2016 Jun 03;6:27427
pubmed: 27255518
Nat Methods. 2015 Jan;12(1):59-60
pubmed: 25402007
mBio. 2017 Oct 3;8(5):
pubmed: 28974612
J Appl Microbiol. 2007 Oct;103(4):1344-54
pubmed: 17897238
Gut Pathog. 2013 Aug 13;5(1):23
pubmed: 23941657
Foodborne Pathog Dis. 2008 Aug;5(4):459-72
pubmed: 18713063
Appl Environ Microbiol. 2018 Mar 19;84(7):
pubmed: 29427429
Front Microbiol. 2020 Jan 23;11:32
pubmed: 32038603
Front Microbiol. 2019 Apr 16;10:797
pubmed: 31040838
FEMS Microbiol Ecol. 2019 Nov 1;95(11):
pubmed: 31589310
Microorganisms. 2020 Apr 14;8(4):
pubmed: 32295250
J Anim Sci. 2018 May 4;96(5):1778-1794
pubmed: 29635455
BMC Bioinformatics. 2010 Mar 08;11:119
pubmed: 20211023
ISME J. 2014 Aug;8(8):1566-76
pubmed: 24522263
Microbiome. 2019 Mar 26;7(1):48
pubmed: 30914068
Genome Biol. 2019 Nov 28;20(1):257
pubmed: 31779668
Sci Rep. 2019 Mar 5;9(1):3453
pubmed: 30837612
Animal. 2013 Jul;7(7):1067-78
pubmed: 23410993