Abstract
Hand foot and mouth disease (HFMD) is a contagious and seasonal viral disease in children. The gut microbiota of HFMD children is not clear now. The study aimed to explore the gut microbiota of HFMD children. The 16S rRNA gene of the gut microbiota of ten HFMD patients and ten healthy children were sequenced on the NovaSeq and PacBio platforms respectively. There were significant differences in gut microbiota between the patients and healthy children. The diversity and abundance of gut microbiota in HFMD patients were lower than that in healthy children. The species Roseburia inulinivorans and Romboutsia timonensis were more abundant in healthy children than those in HFMD patients, which suggests that the two species may be used as probiotics for adjusting the gut microbiota of HFMD patients. Meanwhile, the results of 16S rRNA gene sequences from the two platforms were different. The NovaSeq platform identified more microbiota and has the characteristics of high throughput, short time and low price. However, the NovaSeq platform has low resolution at the species level. The PacBio platform has high resolution based on its long reads length, which is more suitable for species-level analysis. But, the shortcomings of the high price and low throughput of PacBio still need to be overcome. With the development of sequencing technology, the reduction in sequencing price and the increase in throughput will promote the third-generation sequencing technology used in the study of gut microbes.
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Data Availability
The 16S rRNA gene sequence data have been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database on BioProject accession number PRJNA843173 and PRJNA843181.
References
Ooi MH, Wong SC, Lewthwaite P, Cardosa MJ, Solomon T (2010) Clinical features, diagnosis, and management of enterovirus 71. Lancet Neurol 9:1097–1105. https://doi.org/10.1016/S1474-4422(10)70209-X
Aswathyraj S, Arunkumar G, Alidjinou E, Hober D (2016) Hand, foot and mouth disease (HFMD): emerging epidemiology and the need for a vaccine strategy. Med Microbiol Immunol 205:397–407. https://doi.org/10.1007/s00430-016-0465-y
Nguyen HX, Chu C, Dai Tran Q, Rutherford S, Phung D (2020) Temporal relationships between climate variables and hand-foot-mouth disease: a multi-province study in the Mekong Delta Region. Vietnam Int J Biometeorol 64:389–396. https://doi.org/10.1007/s00484-019-01824-9
Repass GL, Palmer WC, Stancampiano FF (2014) Hand, foot, and mouth disease: identifying and managing an acute viral syndrome. Cleve Clin J Med 81:537–543. https://doi.org/10.3949/ccjm.81a.13132
Ho SX, Min N, Wong EPY, Chong CY, Chu JJH (2021) Characterization of oral virome and microbiome revealed distinctive microbiome disruptions in paediatric patients with hand, foot and mouth disease. NPJ Biofilms Microbiomes 7:1–8. https://doi.org/10.1038/s41522-021-00190-y
Saguil A, Kane SF, Lauters R, Mercado MG (2019) Hand-foot-and-mouth disease: rapid evidence review. Am Fam Physician 100:408–414
Li Y, Chang Z, Wu P et al (2018) Emerging enteroviruses causing hand, foot and mouth disease, China, 2010–2016. Emerg Infect Dis 24:1902. https://doi.org/10.3201/eid2410.171953
Yu H, Cowling BJ (2019) Remaining challenges for prevention and control of hand, foot, and mouth disease. Lancet Child Adolesc Health 3:373–374. https://doi.org/10.1016/S2352-4642(19)30065-3
Fölster-Holst R (2018) Classical hand, foot and mouth disease replaced by atypical hand, foot and mouth disease. Acta Derm Venereol 98:303. https://doi.org/10.2340/00015555-2915
Mu CY, Wang AY, Chen C, Zhao L, Li Z (2015) A real-time RT-PCR assay for rapid detection of coxsackievirus A10. Genet Mol Res 14:17496–17504. https://doi.org/10.4238/2015
Esposito S, Principi N (2018) Hand, foot and mouth disease: current knowledge on clinical manifestations, epidemiology, aetiology and prevention. Eur J Clin Microbiol Infect Dis 37:391–398. https://doi.org/10.1007/s10096-018-3206-x
Yao LL, Chen W, Du YH, Li CL, Luo YW, Li HZ (2021) Immune mechanism of hand foot and mouth disease sepsis. Indian J Pediatr 88:70–71. https://doi.org/10.1007/s12098-020-03351-7
Preveden T, Scarpellini E, Milić N, Luzza F, Abenavoli L (2017) Gut microbiota changes and chronic hepatitis C virus infection. Expert Rev Gastroenterol Hepatol 11:813–819. https://doi.org/10.1080/17474124.2017.1343663
Gu S, Chen Y, Wu Z et al (2020) Alterations of the gut microbiota in patients with coronavirus disease 2019 or H1N1 influenza. Clin Infect Dis 71:2669–2678. https://doi.org/10.1093/cid/ciaa709
Hertzberg VS, Singh H, Fournier CN et al (2022) Gut microbiome differences between amyotrophic lateral sclerosis patients and spouse controls. Amyotroph Lateral Scler Frontotemporal Degener 23:91–99. https://doi.org/10.1080/21678421.2021.1904994
Shen C, Xu Y, Ji J et al (2021) Intestinal microbiota has important effect on severity of hand foot and mouth disease in children. BMC Infect Dis 21:1–16. https://doi.org/10.1186/s12879-021-06748-7
Chen Z, Hui PC, Hui M et al (2019) Impact of preservation method and 16S rRNA hypervariable region on gut microbiota profiling. Msystems 4:e00271-e1218. https://doi.org/10.1128/mSystems.00271-18
Heather JM, Chain B (2016) The sequence of sequencers: The history of sequencing DNA. Genomics 107:1–8. https://doi.org/10.1016/j.ygeno.2015.11.003
Schuster SC (2008) Next-generation sequencing transforms today’s biology. Nat Methods 5:16–18. https://doi.org/10.1038/nmeth1156
Foox J, Tighe SW, Nicolet CM et al (2021) Performance assessment of DNA sequencing platforms in the ABRF next-generation sequencing study. Nat Biotechnol 39:1129–1140. https://doi.org/10.1038/s41587-021-01049-5
Cai L, Ye L, Tong AHY, Lok S, Zhang T (2013) Biased diversity metrics revealed by bacterial 16S pyrotags derived from different primer sets. PLoS ONE 8:e53649. https://doi.org/10.1371/journal.pone.0053649
Wagner J, Coupland P, Browne HP, Lawley TD, Francis SC, Parkhill J (2016) Evaluation of PacBio sequencing for full-length bacterial 16S rRNA gene classification. BMC Microbiol 16:1–17. https://doi.org/10.1186/s12866-016-0891-4
Rhoads A, Au KF (2015) PacBio sequencing and its applications. Genom Proteom Bioinform 13:278–289. https://doi.org/10.1016/j.gpb.2015.08.002
Jain M, Koren S, Miga KH et al (2018) Nanopore sequencing and assembly of a human genome with ultra-long reads. Nat Biotechnol 36:338–345. https://doi.org/10.1038/nbt.4060
Li XW, Ni X, Qian SY et al (2018) Chinese guidelines for the diagnosis and treatment of hand, foot and mouth disease (2018 edition). World J Pediatr 14:437–447. https://doi.org/10.1007/s12519-018-0189-8
Magoč T, Salzberg SL (2011) FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27:2957–2963. https://doi.org/10.1093/bioinformatics/btr507
Bokulich NA, Subramanian S, Faith JJ et al (2013) Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods 10:57–59. https://doi.org/10.1038/nmeth.2276
Caporaso JG, Kuczynski J, Stombaugh J et al (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335–336. https://doi.org/10.1038/nmeth.f.303
Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200. https://doi.org/10.1093/bioinformatics/btr381
Edgar RC (2013) UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods 10:996–998. https://doi.org/10.1038/nmeth.2604
Quast C, Pruesse E, Yilmaz P et al (2012) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:590–596. https://doi.org/10.1093/nar/gks1219
Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792–1797. https://doi.org/10.1093/nar/gkh340
White JR, Nagarajan N, Pop M (2009) Statistical methods for detecting differentially abundant features in clinical metagenomic samples. PLoS Comput Biol 5:e1000352. https://doi.org/10.1371/journal.pcbi.1000352
Edgar RC (2018) Updating the 97% identity threshold for 16S ribosomal RNA OTUs. Bioinformatics 34:2371–2375. https://doi.org/10.1093/bioinformatics/bty113
Kowalska-Duplaga K, Gosiewski T, Kapusta P et al (2019) Differences in the intestinal microbiome of healthy children and patients with newly diagnosed Crohn’s disease. Sci Rep 9:1–11. https://doi.org/10.1038/s41598-019-55290-9
Li W, Wu X, Hu X et al (2017) Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features. Sci China Life Sci 60:1223–1233. https://doi.org/10.1007/s11427-016-9001-4
Groves HT, Cuthbertson L, James P, Moffatt MF, Cox MJ, Tregoning JS (2018) Respiratory disease following viral lung infection alters the murine gut microbiota. Front Immunol 9:182. https://doi.org/10.3389/fimmu.2018.00182
Ley RE, Hamady M, Lozupone C et al (2008) Evolution of mammals and their gut microbes. Science 320:1647–1651. https://doi.org/10.1126/science.1155725
Cockburn DW, Koropatkin NM (2016) Polysaccharide degradation by the intestinal microbiota and its influence on human health and disease. J Mol Biol 428:3230–3252. https://doi.org/10.1016/j.jmb.2016.06.021
Litvak Y, Byndloss MX, Tsolis RM, Bäumler AJ (2017) Dysbiotic Proteobacteria expansion: a microbial signature of epithelial dysfunction. Curr Opin Microbiol 39:1–6. https://doi.org/10.1016/j.mib.2017.07.003
Morgan XC, Tickle TL, Sokol H et al (2012) Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol 13:1–18. https://doi.org/10.1186/gb-2012-13-9-r79
Grigor’eva IN (2021) Gallstone disease, obesity and the Firmicutes/Bacteroidetes ratio as a possible biomarker of gut dysbiosis. J Pers Med 11:13. https://doi.org/10.3390/jpm11010013
Takahashi K, Andoh A (2016) Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s disease. Digestion 93:59–65. https://doi.org/10.1159/000441768
Cavanagh J, Howard J, Whitby J (1956) The neurotoxin of Shigella shigae. A comparative study of the effects produced in various laboratory animals. Br J Exp Pathol 37:272
Bridgwater F, Morgan R, Rowson K, Wright GP (1955) The neurotoxin of Shigella shigae: morphological and functional lesions produced in the central nervous system of rabbits. Br J Exp Pathol 36:447
Magruder M, Edusei E, Zhang L et al (2020) Gut commensal microbiota and decreased risk for Enterobacteriaceae bacteriuria and urinary tract infection. Gut Microbes 12:1805281. https://doi.org/10.1080/19490976.2020.1805281
Tamanai-Shacoori Z, Smida I, Bousarghin L et al (2017) Roseburia spp.: a marker of health? Future Microbiol 12:157–170. https://doi.org/10.2217/fmb-2016-0130
Sharon G, Cruz NJ, Kang DW et al (2019) Human gut microbiota from autism spectrum disorder promote behavioral symptoms in mice. Cell 177:1600–1618. https://doi.org/10.1016/j.cell.2019.05.004
Liu S, Zhao W, Liu X, Cheng L (2020) Metagenomic analysis of the gut microbiome in atherosclerosis patients identify cross-cohort microbial signatures and potential therapeutic target. FASEB J 34:14166–14181. https://doi.org/10.1096/fj.202000622R
Li W, Zhu Y, Li Y et al (2019) The gut microbiota of hand, foot and mouth disease patients demonstrates down-regulated butyrate-producing bacteria and up-regulated inflammation-inducing bacteria. Acta Paediatr 108:1133–1139. https://doi.org/10.1111/apa.14644
Collins JW, Keeney KM, Crepin VF et al (2014) Citrobacter rodentium: infection, inflammation and the microbiota. Nat Rev Microbiol 12:612–623. https://doi.org/10.1038/nrmicro3315
Webber M, Piddock LJ (2001) Quinolone resistance in Escherichia coli. Vet Res 32:275–284. https://doi.org/10.1051/vetres:2001124
Choi SC (2016) On the study of microbial transcriptomes using second-and third-generation sequencing technologies. J Microbiol 54:527–536. https://doi.org/10.1007/s12275-016-6233-2
Land M, Hauser L, Jun SR et al (2015) Insights from 20 years of bacterial genome sequencing. Funct Integr Genom 15:141–161. https://doi.org/10.1007/s10142-015-0433-4
Wei N, Bemmels JB, Dick CW (2014) The effects of read length, quality and quantity on microsatellite discovery and primer development: from Illumina to PacBio. Mol Ecol Resour 14:953–965. https://doi.org/10.1111/1755-0998.12245
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This work was funded by the Zibo City school city integration development project (2018zbxc215) and the National Natural Science Foundation of China (31870201).
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Conceptualization, RF and LH; methodology, HS, ZZ, and TW; software, YZ and YL; validation, YZ, YL, RF and LH; formal analysis, YZ and YL; investigation, HS, ZZ, and TW; resources, RF and LH; data curation, HS, ZZ, TW, RF and LH; writing—original draft preparation, YZ and YL; writing—review and editing, YZ, YL and LH; visualization, HS, ZZ, TW, YZ and YL; supervision, RF and LH; project administration, RF and LH; funding acquisition, RF and LH. All authors have read and agreed to the published the manuscript.
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Zhuang, Y., Lin, Y., Sun, H. et al. Gut Microbiota in Children with Hand Foot and Mouth Disease on 16S rRNA Gene Sequencing. Curr Microbiol 80, 159 (2023). https://doi.org/10.1007/s00284-023-03277-1
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DOI: https://doi.org/10.1007/s00284-023-03277-1