본문 바로가기
KERD
논문

Association between oropharyngeal microbiome and weight gain in piglets during pre and post weaning life

1

조회

0

다운로드

2

인용

0

참고문헌

키워드

주제분류축산학

초록

Birth weight and subsequent weight gain is of critical importance in the survival and performance of piglets on a commercial swine farm setting. Oropharyngeal microbiome could influence immunity, and feeding behavior thus impacting health and weight gain. We used 16S rRNA gene sequencing to profile the composition and predicted metabolic functionality of the oropharyngeal microbiota in 8 piglets (4 with a birthweight ≤ 1.0 kg and 4 with a birthweight ≥ 1.7 kg) at 11, 26, and 63 days of age. We found 9 genera that were significantly associated with average daily gain (ADG) at 11 days (false discovery rate, FDR < 0.05) and 26 days of age (FDR < 0.1), respectively. The microbial functional profile revealed several pathways associated with ADG (FDR < 0.05). Among these, pathways related to degradation of catechols showed a positive association with ADG at 11, 26, and 63 days of age, implying a potential to breakdown the host-derived catecholamines. We also noted that pathways related to the biodegradation of nucleosides and nucleotides increased with ADG during the pre-weaning phase, while those involved in their biosynthesis decreased. Our findings provide insights into the oropharyngeal microbial memberships and metabolic pathways that are involved in a piglet’s weight gain. Thus, providing a basis for the development of strategies aimed at improving weight gain in pigs.

Abstract

Birth weight and subsequent weight gain is of critical importance in the survival and performance of piglets on a commercial swine farm setting. Oropharyngeal microbiome could influence immunity, and feeding behavior thus impacting health and weight gain. We used 16S rRNA gene sequencing to profile the composition and predicted metabolic functionality of the oropharyngeal microbiota in 8 piglets (4 with a birthweight ≤ 1.0 kg and 4 with a birthweight ≥ 1.7 kg) at 11, 26, and 63 days of age. We found 9 genera that were significantly associated with average daily gain (ADG) at 11 days (false discovery rate, FDR < 0.05) and 26 days of age (FDR < 0.1), respectively. The microbial functional profile revealed several pathways associated with ADG (FDR < 0.05). Among these, pathways related to degradation of catechols showed a positive association with ADG at 11, 26, and 63 days of age, implying a potential to breakdown the host-derived catecholamines. We also noted that pathways related to the biodegradation of nucleosides and nucleotides increased with ADG during the pre-weaning phase, while those involved in their biosynthesis decreased. Our findings provide insights into the oropharyngeal microbial memberships and metabolic pathways that are involved in a piglet’s weight gain. Thus, providing a basis for the development of strategies aimed at improving weight gain in pigs.

참고문헌 (60)

  1. Quiniou N, "Variation of piglets’ birth weight and consequences on subsequent performance", Livest Prod Sci, 78, pp.63~70 (2002)
  2. Douglas SL, "High specification starter diets improve the performance of low birth weight pigs to 10 weeks of age", J Anim Sci, 92, pp.4741~4750 (2014)
  3. 이준유, "Current status and prospects for in-feed antibiotics in the different stages of pork production — A review", Animal Bioscience, 30(12), pp.1667~1673 (2017), 아세아·태평양축산학회[DOI]
  4. Schokker D, "Early-life environmental variation affects intestinal microbiota and immune development in new-born piglets", PLoS One, 9, pp.e100040~ (2014)
  5. Sommer F, "The gut microbiota-masters of host development and physiology", Nat Rev Microbiol, 11, pp.227~238 (2013)
  6. Turnbaugh PJ, "An obesity-associated gut microbiome with increased capacity for energy harvest", Nature, 444, pp.1027~1031 (2006)
  7. Mikov M, "The metabolism of drugs by the gut flora", Eur J Drug Metab Pharmacokinet, 19, pp.201~207 (1994)
  8. Kim JS, "Diet, gut microbiota composition and feeding behavior", Physiol Behav, 192, pp.177~181 (2018)
  9. Mackie RI, "Developmental microbial ecology of the neonatal gastrointestinal tract", Am J Clin Nutr, 69, pp.1035~ (1999)
  10. Heinritz SN, "Impact of a highfat or high-fiber diet on intestinal microbiota and metabolic markers in a pig model", Nutrients, 8, pp.317~ (2016)
  11. Thompson CL, "The immediate environment during postnatal development has long-term impact on gut community structure in pigs", ISME J, 2, pp.739~748 (2008)
  12. Guevarra RB, "The dynamics of the piglet gut microbiome during the weaning transition in association with health and nutrition", J Anim Sci Biotechnol, 9, pp.54~ (2018)
  13. Yu M, "Marked response in microbial community and metabolism in the ileum and cecum of suckling piglets after early antibiotics exposure", Front Microbiol, 9, pp.1166~ (2018)
  14. Shim SB, "Effects of feeding antibiotic-free creep feed supplemented with oligofructose, probiotics or synbiotics to suckling piglets increases the preweaning weight gain and composition of intestinal microbiota", Arch Anim Nutr, 59, pp.419~427 (2005)
  15. Liu L, "Comparison of next-generation sequencing systems", J Biomed Biotechnol (2012)[DOI]
  16. Langille MGI, "Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences", Nat Biotechnol, 31, pp.814~821 (2013)
  17. Mach N, "Early-life establishment of the swine gut microbiome and impact on host phenotypes", Environ Microbiol Rep, 7, pp.554~569 (2015)
  18. Konstantinov SR, "Post-natal development of the porcine microbiota composition and activities", Environ Microbiol, 8, pp.1191~1199 (2006)
  19. Parada AE, "Every base matters : assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples", Environ Microbiol, 18, pp.1403~1414 (2016)
  20. Apprill A, "Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton", Aquat Microb Ecol, 75, pp.129~137 (2015)
  21. Bolyen E, "Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2", Nat Biotechnol, 37, pp.852~857 (2019)
  22. Callahan BJ, "DADA2 : high-resolution sample inference from Illumina amplicon data", Nat Methods, 13, pp.581~583 (2016)
  23. Katoh K, "MAFFT : a novel method for rapid multiple sequence alignment based on fast Fourier transform", Nucleic Acids Res, 30, pp.3059~3066 (2002)
  24. Price MN, "FastTree 2: approximately maximum-likelihood trees for large alignments", PLoS One, 5, pp.e9490~ (2010)
  25. Shannon CE, "A mathematical theory of communication", Bell Syst Tech J, 27, pp.379~423 (1948)
  26. Faith DP, "Conservation evaluation and phylogenetic diversity", Biol Conserv, 61, pp.1~10 (1992)
  27. Lozupone C, "UniFrac : a new phylogenetic method for comparing microbial communities", Appl Environ Microbiol, 71, pp.8228~8235 (2005)
  28. Lozupone CA, "Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities", Appl Environ Microbiol, 73, pp.1576~1585 (2007)
  29. Bray JR, "An ordination of the upland forest communities of Southern Wisconsin", Ecol Monogr, 27, pp.325~349 (1957)
  30. Bokulich NA, "Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin", Microbiome, 6, pp.90~ (2018)
  31. McDonald D, "An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea", ISME J, 6, pp.610~618 (2012)
  32. Bokulich NA, "q2-longitudinal: longitudinal and paired-sample analyses of microbiome data", mSystems, 3, pp.e00219~e00218 (2018)
  33. R Core Team, "R: a language and environment for statistical computing", R Foundation for Statistical Computing
  34. Dixon P, "VEGAN, a package of R functions for community ecology", J Veg Sci, 14, pp.927~930 (2003)
  35. Robinson MD, "edgeR : a bioconductor package for differential expression analysis of digital gene expression data", Bioinformatics, 26, pp.139~140 (2010)
  36. Cortes LCP, "Development of the tonsillar microbiome in pigs from newborn through weaning", BMC Microbiol, 18, pp.35~ (2018)
  37. Cortes LCP, "Development of the tonsil microbiome in pigs and effects of stress on the microbiome", Front Vet Sci, 5, pp.220~ (2018)
  38. Kanehisa M, "New approach for understanding genome variations in KEGG", Nucleic Acids Res, 47, pp.D590~D595 (2019)
  39. Caspi R, "The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway", genome databases, 2014, pp.42, D459~D471
  40. Cusa E, "Genetic analysis of a chromosomal region containing genes required for assimilation of allantoin nitrogen and linked glyoxylate metabolism in Escherichia coli", J Bacteriol, 181, pp.7479~7484 (1999)
  41. Vogels GD, "Degradation of purines and pyrimidines by microorganisms", Bacteriol Rev, 40, pp.403~468 (1976)
  42. Lowe BA, "Defining the"core microbiome"of the microbial communities in the tonsils of healthy pigs", BMC Microbiol, 12, pp.20~ (2012)
  43. Mann E, "The metabolically active bacterial microbiome of tonsils and mandibular lymph nodes of slaughter pigs", Front Microbiol, 6, pp.1362~ (2015)
  44. Sandrini S, "Host stress hormone norepinephrine stimulates pneumococcal growth, biofilm formation and virulence gene expression", BMC Microbiol, 14, pp.180~ (2014)
  45. Colson V, "Influence of housing and social changes on growth, behaviour and cortisol in piglets at weaning", Physiol Behav, 107, pp.59~64 (2012)
  46. Li N, "Differences in the gut microbiota establishment and metabolome characteristics between low-and normal-birth-weight piglets during early-life", Front Microbiol, 9, pp.1798~ (2018)
  47. Li N, "Characterization of the early life microbiota development and predominant lactobacillus species at distinct gut segments of low-and normal-birth-weight piglets", Front Microbiol, 10, pp.797~ (2019)
  48. Arnold JW, "Emerging technologies for gut microbiome research", Trends Microbiol, 24, pp.887~901 (2016)
  49. Quan J, "A global comparison of the microbiome compositions of three gut locations in commercial pigs with extreme feed conversion ratios", Sci Rep, 8, pp.4536~ (2018)
  50. Tan Z, "Metagenomic analysis of cecal microbiome identified microbiota and functional capacities associated with feed efficiency in landrace finishing pigs", Front Microbiol, 8, pp.1546~ (2017)
  51. Yang H, "Unraveling the fecal microbiota and metagenomic functional capacity associated with feed efficiency in pigs", Front Microbiol, 8, pp.1555~ (2017)
  52. Mateo CD, "Nucleotides in sow colostrum and milk at different stages of lactation", J Anim Sci, 82, pp.1339~1342 (2004)
  53. Drake A, "Parent-offspring resource allocation in domestic pigs", Behav Ecol Sociobiol, 62, pp.309~319 (2008)
  54. Munck A, "Physiological functions of glucocorticoids in stress and their relation to pharmacological actions", Endocr Rev, 5, pp.25~44 (1984)
  55. Arnone M, "Does frustration induce aggression in pigs?", Appl Anim Ethol, 6, pp.351~362 (1980)
  56. Martínez-Miró S, "Causes, consequences and biomarkers of stress in swine : an update", BMC Vet Res, 12, pp.171~ (2016)
  57. Blundell J, "Pharmacological approaches to appetite suppression", Trends Pharmacol Sci, 12, pp.147~157 (1991)
  58. Rossi MA, "Overlapping brain circuits for homeostatic and hedonic feeding", Cell Metab, 27, pp.42~56 (2018)
  59. Smit AN, "Dopaminergic regulation of circadian food anticipatory activity rhythms in the rat", PLoS One, 8, pp.e82381~ (2013)
  60. Eisenhofer G, "Catecholamine metabolism : a contemporary view with implications for physiology and medicine", Pharmacol Rev, 56, pp.331~349 (2004)

관련 논문AI추천

Comparative analysis of the pig gut microbiome associated with the pig growth performance김산, 곽진옥, 김신아, 김현범, 두현옥, 류수민, 송민호, 조진호, Eun Sol Kim, Gi Beom Keum, Jae Hyoung Cho, Jun Hyung Lee, Sriniwas Pandey한국축산학회 · 한국축산학회지2023 · 제65권 제4호Effects of Antibiotic Growth Promoter and Characterization of Ecological Succession in Swine Gut Microbiota운노 타쯔야, 김정만, Robin B. Guevarra, Son G. Nguyen한국미생물·생명공학회 · Journal of Microbiology and Biotechnology2015 · 제25권 제4호Effects of paraformic acid supplementation, as an antibiotic replacement, on growth performance, intestinal morphology and gut microbiota of nursery pigsBin Zuo, Jiaqi Li, Richard Mudarra, Yafeng Zhai, Yuyi Zhong한국축산학회 · 한국축산학회지2025 · 제67권 제5호Change in the Gut Microbiota of Lactating Sows and Their Piglets by Inclusion of Dietary Spray-Dried Plasma in Sow Diets김영훈, 송민호, 조진호, Ahn Jinmu, Choe Jeehwan, Kim Hyeun Bum, Kim Yonghee, Kyoung Hyunjin, Lee Jeong Jae, Park Kyeong Il한국미생물·생명공학회 · Journal of Microbiology and Biotechnology2024 · 제34권 제3호Dietary supplementation of Lactobacillus salivarius in suckling and weanling piglets modulates intestinal microbiota, morphology and improves growth performanceAbdolreza Hosseindoust, Elick Kinara, Habeeb Tajudeen, Jin Soo Kim, Joseph Moturi, Jun Young Mun, Sang Hun Ha, Serin Park, Su Hyub Lee한국축산학회 · 한국축산학회지2025 · 제67권 제4호Analysis of antibiotic resistance genes in pig feces during the weaning transition using whole metagenome shotgun sequencing곽진옥, 김신아, 김현범, 김혜리, 두현옥, 송민호, 이주훈, Eun Sol Kim, Gi Beom Keum, Jae Hyoung Cho, Jin Ho Cho, Kwang Kyo Oh, Sriniwas Pandey한국축산학회 · 한국축산학회지2023 · 제65권 제1호

이 간행물의 다른 논문 (14건)