1. Liu Y-X, Qin Y, Chen T, Lu M, Qian X, Guo X, et al.
A practical guide to amplicon and metagenomic analysis of microbiome data. Protein & Cell. 2020;12:315–30. doi:
10.1007/s13238-020-00724-8.
2. Kim O-S, Cho Y-J, Lee K, Yoon S-H, Kim M, Na H, et al. Introducing EzTaxon-e: A prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. International Journal of Systematic and Evolutionary Microbiology. 2012;62:716–21. doi:
https://doi.org/10.1099/ijs.0.038075-0.
3. Hug LA, Baker BJ, Anantharaman K, Brown CT, Probst AJ, Castelle CJ, et al. A new view of the tree of life. Nature microbiology. 2016;1:1–6.
4. Yarza P, Yilmaz P, Pruesse E, Glöckner FO, Ludwig W, Schleifer K-H, et al. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nature Reviews Microbiology. 2014;12:635–45.
5. Espejo RT, Plaza N. Multiple ribosomal RNA operons in bacteria; their concerted evolution and potential consequences on the rate of evolution of their 16S rRNA. Frontiers in microbiology. 2018;9:1232.
6. Maeda M, Shimada T, Ishihama A. Strength and regulation of seven rRNA promoters in escherichia coli. PLoS One. 2015;10:e0144697.
7. Poirier OAP Simon AND Rué. Deciphering intra-species bacterial diversity of meat and seafood spoilage microbiota using gyrB amplicon sequencing: A comparative analysis with 16S rDNA V3-V4 amplicon sequencing. PLOS ONE. 2018;13:1–26. doi:
10.1371/journal.pone.0204629.
8. Bernard M, Rué O, Mariadassou M, Pascal G.
FROGS: a powerful tool to analyse the diversity of fungi with special management of internal transcribed spacers. Briefings in Bioinformatics. 2021;22. doi:
10.1093/bib/bbab318.
9. Lofgren LA, Uehling JK, Branco S, Bruns TD, Martin F, Kennedy PG. Genome-based estimates of fungal rDNA copy number variation across phylogenetic scales and ecological lifestyles. Molecular Ecology. 2019;28:721–30. doi:
https://doi.org/10.1111/mec.14995.
10. Bharti R, Grimm DG.
Current challenges and best-practice protocols for microbiome analysis. Briefings in Bioinformatics. 2019;22:178–93. doi:
10.1093/bib/bbz155.
11. Alard J, Lehrter V, Rhimi M, Mangin I, Peucelle V, Abraham A-L, et al. Beneficial metabolic effects of selected probiotics on diet-induced obesity and insulin resistance in mice are associated with improvement of dysbiotic gut microbiota. Environmental Microbiology. 2016;18:1484–97. doi:
https://doi.org/10.1111/1462-2920.13181.
12. Tan YC, Kumar AU, Wong YP, Ling APK. Bioinformatics approaches and applications in plant biotechnology. Journal of Genetic Engineering and Biotechnology. 2022;20:1–13.
13. Cruaud P, Rasplus J-Y, Rodriguez LJ, Cruaud A. High-throughput sequencing of multiple amplicons for barcoding and integrative taxonomy. Scientific reports. 2017;7:41948.
14. Whon TW, Chung W-H, Lim MY, Song E-J, Kim PS, Hyun D-W, et al. The effects of sequencing platforms on phylogenetic resolution in 16 s rRNA gene profiling of human feces. Scientific data. 2018;5:1–15.
15. Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffatt MF, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses.
BMC Biology. 2014;12. doi:
10.1186/s12915-014-0087-z.
16. Lejal E, Estrada-Peña A, Marsot M, Cosson J-F, Rué O, Mariadassou M, et al. Taxon appearance from extraction and amplification steps demonstrates the value of multiple controls in tick microbiota analysis. Frontiers in Microbiology. 2020;11:1093.
17. Brooks JP, Edwards DJ, Harwich MD, Rivera MC, Fettweis JM, Serrano MG, et al. The truth about metagenomics: Quantifying and counteracting bias in 16S rRNA studies. BMC microbiology. 2015;15:1–14.
18. Hakimzadeh A, Abdala Asbun A, Albanese D, Bernard M, Buchner D, Callahan B, et al. A pile of pipelines: An overview of the bioinformatics software for metabarcoding data analyses. Molecular Ecology Resources. 2023.
19. Liu Z, DeSantis TZ, Andersen GL, Knight R. Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers. Nucleic acids research. 2008;36:e120–0.
20. Rué O, Coton M, Dugat-Bony E, Howell K, Irlinger F, Legras J-L, et al. Comparison of metabarcoding taxonomic markers to describe fungal communities in fermented foods. bioRxiv. 2023. doi:
10.1101/2023.01.13.523754.