BMC Veterinary Research | |
Chicken faecal microbiota and disturbances induced by single or repeated therapy with tetracycline and streptomycin | |
Ivan Rychlik1  Hana Havlickova1  Frantisek Sisak1  Vladimir Babak1  Helena Juricova1  Marcela Faldynova1  Petra Videnska1  | |
[1] Veterinary Research Institute, Hudcova 70, 621 00, Brno, Czech Republic | |
关键词: Streptomycin; Tetracycline; Pyrosequencing; Intestinal tract; Microbiome; Chicken; | |
Others : 1119608 DOI : 10.1186/1746-6148-9-30 |
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received in 2012-09-27, accepted in 2013-02-09, 发布年份 2013 | |
【 摘 要 】
Background
In this study, we characterised the microbiota present in the faeces of 15- and 46-week-old egg laying hens before and after tetracycline or streptomycin therapy. In the first experiment, the layers were subjected to 7 days of therapy. In the second experiment, the hens were subjected to two days of therapy, which was repeated for an additional two days after 12 days of antibiotic withdrawal. This enabled us to characterise dynamics of the changes after antibiotic administration and withdrawal, and to identify genera repeatedly resistant to tetracycline and streptomycin.
Results
Real-time PCRs specific for Enterobacteriales, Lactobacillales, Clostridiales and Bifidobacteriales showed that changes in the microbiota in response to antibiotic therapy and antibiotic withdrawal were quite rapid and could be observed within 24 hours after the change in therapy status. Pyrosequencing of PCR amplified V3/V4 variable regions of 16S rRNA genes showed that representatives of the orders Clostridiales, Lactobacillales, Bacteroidales, Bifidobacteriales, Enterobacteriales, Erysipelotrichales, Coriobacteriales, Desulfovibrionales, Burkholderiales, Campylobacterales and Actinomycetales were detected in the faeces of hens prior to the antibiotic therapy. Tetracycline and streptomycin therapies decreased the prevalence of Bifidobacteriales, Bacteroidales, Clostridiales, Desulfovibrionales, Burkholderiales and Campylobacterales in faecal samples in both experiments. On the other hand, Enterobacteriales and Lactobacillales always increased in prevalence in response to both therapies. Within the latter two orders, Escherichia and Enterococcus were the genera prevalence of which increased after all the antibiotic treatments.
Conclusions
The changes in microbiota composition induced by the antibiotic therapy were rapid and quite dramatic and only representatives of the genera Enterococcus and Escherichia increased in response to the therapy with both antibiotics in both experiments.
【 授权许可】
2013 Videnska et al.; licensee BioMed Central Ltd.
【 预 览 】
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20150208084907684.pdf | 406KB | download | |
20150208074231582.pdf | 240KB | download | |
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Figure 1. | 43KB | Image | download |
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【 参考文献 】
- [1]Zhu XY, Zhong T, Pandya Y, Joerger RD: 16S rRNA-based analysis of microbiota from the cecum of broiler chickens. Appl Environ Microbiol 2002, 68:124-137.
- [2]Knarreborg A, Simon MA, Engberg RM, Jensen BB, Tannock GW: Effects of dietary fat source and subtherapeutic levels of antibiotic on the bacterial community in the ileum of broiler chickens at various ages. Appl Environ Microbiol 2002, 68:5918-5924.
- [3]Lu J, Idris U, Harmon B, Hofacre C, Maurer JJ, Lee MD: Diversity and succession of the intestinal bacterial community of the maturing broiler chicken. Appl Environ Microbiol 2003, 69:6816-6824.
- [4]Nordentoft S, Molbak L, Bjerrum L, De Vylder J, Van Immerseel F, Pedersen K: The influence of the cage system and colonisation of Salmonella Enteritidis on the microbial gut flora of laying hens studied by T-RFLP and 454 pyrosequencing. BMC Microbiol 2011, 11:187. BioMed Central Full Text
- [5]Bokkers EA, de Boer IJ: Economic, ecological, and social performance of conventional and organic broiler production in the Netherlands. Br Poult Sci 2009, 50:546-557.
- [6]Amit-Romach E, Sklan D, Uni Z: Microflora ecology of the chicken intestine using 16S ribosomal DNA primers. Poult Sci 2004, 83:1093-1098.
- [7]Qu A, Brulc JM, Wilson MK, Law BF, Theoret JR, Joens LA, Konkel ME, Angly F, Dinsdale EA, Edwards RA, et al.: Comparative metagenomics reveals host specific metavirulomes and horizontal gene transfer elements in the chicken cecum microbiome. PLoS One 2008, 3:e2945.
- [8]Crhanova M, Hradecka H, Faldynova M, Matulova M, Havlickova H, Sisak F, Rychlik I: Immune response of chicken gut to natural colonization by gut microflora and to Salmonella enterica serovar Enteritidis infection. Infect Immun 2011, 79:2755-2763.
- [9]Dethlefsen L, Huse S, Sogin ML, Relman DA: The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing. PLoS Biol 2008, 6:e280.
- [10]Antonopoulos DA, Huse SM, Morrison HG, Schmidt TM, Sogin ML, Young VB: Reproducible community dynamics of the gastrointestinal microbiota following antibiotic perturbation. Infect Immun 2009, 77:2367-2375.
- [11]Jernberg C, Lofmark S, Edlund C, Jansson JK: Long-term impacts of antibiotic exposure on the human intestinal microbiota. Microbiology 2010, 156:3216-3223.
- [12]Robinson CJ, Young VB: Antibiotic administration alters the community structure of the gastrointestinal micobiota. Gut Microbes 2010, 1:279-284.
- [13]Tseng CP, Cheng JC, Tseng CC, Wang C, Chen YL, Chiu DT, Liao HC, Chang SS: Broad-range ribosomal RNA real-time PCR after removal of DNA from reagents: melting profiles for clinically important bacteria. Clin Chem 2003, 49:306-309.
- [14]Ashelford KE, Weightman AJ, Fry JC: PRIMROSE: a computer program for generating and estimating the phylogenetic range of 16S rRNA oligonucleotide probes and primers in conjunction with the RDP-II database. Nucleic Acids Res 2002, 30:3481-9.
- [15]Juricova H, Videnska P, Lukac M, Faldynova M, Babak V, Havlickova H, Sisak F, Rychlik I: Influence of Salmonella enterica serovar Enteritidis infection on the development of cecum microbiota in newly hatched chicks. Appl Environ Microbiol 2013, 79:745-7.
- [16]Matulova M, Rajova J, Vlasatikova L, Volf J, Stepanova H, Havlickova H, Sisak F, Rychlik I: Characterization of chicken spleen transcriptome after infection with Salmonella enterica serovar Enteritidis. PLoS One 2012, 7:e48101.
- [17]Maeda H, Fujimoto C, Haruki Y, Maeda T, Kokeguchi S, Petelin M, Arai H, Tanimoto I, Nishimura F, Takashiba S: Quantitative real-time PCR using TaqMan and SYBR Green for Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, tetQ gene and total bacteria. FEMS Immunol Med Microbiol 2003, 39:81-86.
- [18]Nossa CW, Oberdorf WE, Yang L, Aas JA, Paster BJ, Desantis TZ, Brodie EL, Malamud D, Poles MA, Pei Z: Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. World J Gastroenterol 2010, 16:4135-4144.
- [19]Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, et al.: QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010, 7:335-336.
- [20]Lozupone C, Knight R: UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 2005, 71:8228-8235.