Skip to content
1887

Abstract

A healthy early-life gut microbiota plays an important role in maintaining immediate and long-term health. Perturbations, particularly in low- to middle-income communities, are associated with increased infection risk. Thus, a promising avenue for restoring a healthy infant microbiota is to select key beneficial bacterial candidates from underexplored microbiomes for developing new probiotic-based therapies. This study aimed to recover bifidobacteria and lactic acid bacteria from the faeces of healthy Cameroonian infants and unravel the genetic basis of their beneficial properties. Faecal samples were collected from 26 infants aged 0–5 months recruited in Dschang (Cameroon). Recovered bacterial isolates were subjected to whole-genome sequencing and analysis to assess their potential for carbohydrate utilization, their antimicrobial capacities, host-adaptation capabilities and their safety. From the range of infant-associated and strains identified, species were found to harbour putative gene clusters implicated in human milk oligosaccharide metabolism. Genes linked to the production of antimicrobial peptides such as class IV lanthipeptides were found in , while those implicated in biosynthesis of cytolysins, enterolysins, enterocins and propeptins, among others, were identified in enterococci. Bifidobacterial isolates did not contain genes associated with virulence; however, we detected the presence of putative tetracycline resistance genes in several strains belonging to subsp. and subsp. . Among the enterococci, PM10 did not carry any genes associated with antimicrobial resistance or virulence. The latter, together with all the strains, also encoded several putative adaptive and stress-response-related genes, suggesting robust gastroinstestinal tract colonization potential. This work provides the first genomic characterization of and isolates from Cameroonian infants. Several strains showed the genomic potential to confer beneficial properties. Further phenotypic and clinical investigations are needed to confirm their suitability as customized probiotics.

Funding
This study was supported by the:
  • Wellcome Trust (Award 220876/Z/20/Z)
    • Principal Award Recipient: J. HallLindsay
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Loading

Article metrics loading...

/content/journal/mgen/10.1099/mgen.0.001354
2025-02-19
2026-02-19

Metrics

Loading full text...

Full text loading...

/deliver/fulltext/mgen/11/2/mgen001354.html?itemId=/content/journal/mgen/10.1099/mgen.0.001354&mimeType=html&fmt=ahah

References

  1. Kaktcham PM, Kujawska M, Kouam EMF, Piame LT, Tientcheu MLT et al.Genomic insights into the beneficial potential of bifidobacterium and enterococcus strains isolated from cameroonian infants Figshare 2025 [View Article]
    [Google Scholar]
  2. Valdes AM, Walter J, Segal E, Spector TD. Role of the gut microbiota in nutrition and health. BMJ 2018; 361:k2179 [View Article] [PubMed]
    [Google Scholar]
  3. Hou K, Wu Z-X, Chen X-Y, Wang J-Q, Zhang D et al. Microbiota in health and diseases. Signal Transduct Target Ther 2022; 7:135 [View Article] [PubMed]
    [Google Scholar]
  4. Turroni F, Milani C, Duranti S, Lugli GA, Bernasconi S et al. The infant gut microbiome as a microbial organ influencing host well-being. Ital J Pediatr 2020; 46:16 [View Article] [PubMed]
    [Google Scholar]
  5. Yao Y, Cai X, Ye Y, Wang F, Chen F et al. The role of microbiota in infant health: from early life to adulthood. Front Immunol 2021; 12:708472 [View Article] [PubMed]
    [Google Scholar]
  6. Wernroth M-L, Peura S, Hedman AM, Hetty S, Vicenzi S et al. Development of gut microbiota during the first 2 years of life. Sci Rep 2022; 12:9080 [View Article] [PubMed]
    [Google Scholar]
  7. Alcon-Giner C, Dalby MJ, Caim S, Ketskemety J, Shaw A et al. Microbiota supplementation with Bifidobacterium and Lactobacillus modifies the preterm infant gut microbiota and metabolome: an observational study. Cell Rep Med 2020; 1:100077 [View Article] [PubMed]
    [Google Scholar]
  8. Lordan C, Roche AK, Delsing D, Nauta A, Groeneveld A et al. Linking human milk oligosaccharide metabolism and early life gut microbiota: bifidobacteria and beyond. Microbiol Mol Biol Rev 2024; 88:e0009423 [View Article] [PubMed]
    [Google Scholar]
  9. Wiciński M, Sawicka E, Gębalski J, Kubiak K, Malinowski B. Human milk oligosaccharides: health benefits, potential applications in infant formulas, and pharmacology. Nutrients 2020; 12:266 [View Article] [PubMed]
    [Google Scholar]
  10. Liu P, Wang Y, Yang G, Zhang Q, Meng L et al. The role of short-chain fatty acids in intestinal barrier function, inflammation, oxidative stress, and colonic carcinogenesis. Pharmacol Res 2021; 165:105420 [View Article] [PubMed]
    [Google Scholar]
  11. Hrncir T. Gut microbiota dysbiosis: triggers, consequences, diagnostic and therapeutic options. Microorganisms 2022; 10: [View Article]
    [Google Scholar]
  12. Fassarella M, Blaak EE, Penders J, Nauta A, Smidt H et al. Gut microbiome stability and resilience: elucidating the response to perturbations in order to modulate gut health. Gut 2021; 70:595–605
    [Google Scholar]
  13. Ayeni KI, Berry D, Wisgrill L, Warth B, Ezekiel CN. Early-life chemical exposome and gut microbiome development: african research perspectives within a global environmental health context. Trends Microbiol 2022; 30:1084–1100
    [Google Scholar]
  14. Oyedemi OT, Shaw S, Martin JC, Ayeni FA, Scott KP. Changes in the gut microbiota of nigerian infants within the first year of life. PLoS One 2022; 17:e0265123
    [Google Scholar]
  15. Catania J, Pandit NG, Ehrlich JM, Zaman M, Stone E et al. Probiotic supplementation for promotion of growth in children: a systematic review and meta-analysis. Nutrients 2021; 14:
    [Google Scholar]
  16. Heuven LA, Pyle S, Greyling A, Melse-Boonstra A, Eilander A. Gut microbiota-targeted nutritional interventions improving child growth in low- and middle-income countries: a systematic review. Curr Dev Nutr 2021; 5:nzab124 [View Article] [PubMed]
    [Google Scholar]
  17. WHO/FAO Report of a joint FAO/WHO expert consultation on evaluation of health and nutritional properties of probiotics in food including powder milk with live lactic acid bacteria; 2001 http://www.fao.org/publications/card/en/c/7c102d95-2fd5-5b22-8faf-f0b2e68dfbb6
  18. Saturio S, Nogacka AM, Suarez M, Fernandez N, Mantecon L et al. Early-life development of the bifidobacterial community in the infant gut. Int J Mol Sci 2021; 22:
    [Google Scholar]
  19. Korpela K. Impact of delivery mode on infant gut microbiota. Ann Nutr Metab 20211–9
    [Google Scholar]
  20. Im EJ, Lee HH-Y, Kim M, Kim M-K. Evaluation of enterococcal probiotic usage and review of potential health benefits, safety, and risk of antibiotic-resistant strain emergence. Antibiotics 2023; 12:1327 [View Article]
    [Google Scholar]
  21. Püngel D, Treveil A, Dalby MJ, Caim S, Colquhoun IJ et al. Bifidobacterium breve UCC2003 exopolysaccharide modulates the early life microbiota by acting as a potential dietary substrate. Nutrients 2020; 12:948
    [Google Scholar]
  22. Liu Y, Wang J, Wu C. Modulation of gut microbiota and immune system by probiotics, pre-biotics, and post-biotics. Front Nutr 2021; 8:634897 [View Article]
    [Google Scholar]
  23. Fanning S, Hall LJ, Cronin M, Zomer A, MacSharry J et al. Bifidobacterial surface-exopolysaccharide facilitates commensal-host interaction through immune modulation and pathogen protection. Proc Natl Acad Sci U S A 2012; 109:2108–2113 [View Article] [PubMed]
    [Google Scholar]
  24. Liu Q, Yu Z, Tian F, Zhao J, Zhang H et al. Surface components and metabolites of probiotics for regulation of intestinal epithelial barrier. Microb Cell Fact 2020; 19:23 [View Article] [PubMed]
    [Google Scholar]
  25. Paone P, Cani PD. Mucus barrier, mucins and gut microbiota: the expected slimy partners?. Gut 2020; 69:2232–2243 [View Article] [PubMed]
    [Google Scholar]
  26. Lawson MAE, O’Neill IJ, Kujawska M, Gowrinadh Javvadi S, Wijeyesekera A et al. Breast milk-derived human milk oligosaccharides promote Bifidobacterium interactions within a single ecosystem. ISME J 2020; 14:635–648 [View Article] [PubMed]
    [Google Scholar]
  27. Castro-López C, García HS, Guadalupe Martínez-Ávila GC, González-Córdova AF, Vallejo-Cordoba B et al. Genomics-based approaches to identify and predict the health-promoting and safety activities of promising probiotic strains – a probiogenomics review. TFST 2021; 108:148–163 [View Article]
    [Google Scholar]
  28. Valdez-Baez JL, Jesus L, Marques PH, LCdS P, Felice AG et al. Comparative genomics in probiotic bacteria. In Ray RC, Paramithiotis S, VAdC A, Montet D. eds Lactic Acid Bacteria in Food Biotechnology: Innovations and Functional Aspects Elsevier; 2022 pp 245–278
    [Google Scholar]
  29. Pruesse E, Peplies J, Glöckner FO. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 2012; 28:1823–1829 [View Article] [PubMed]
    [Google Scholar]
  30. Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 2018; 34:i884–i890 [View Article]
    [Google Scholar]
  31. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  32. Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 2017; 13:e1005595 [View Article] [PubMed]
    [Google Scholar]
  33. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 2015; 25:1043–1055 [View Article]
    [Google Scholar]
  34. Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk v2: memory friendly classification with the genome taxonomy database. Bioinformatics 2022; 38:5315–5316 [View Article] [PubMed]
    [Google Scholar]
  35. Pritchard L, Glover RH, Humphris S, Elphinstone JG, Toth IK. Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens. Anal Methods 2016; 8:12–24 [View Article]
    [Google Scholar]
  36. Chun J, Oren A, Ventosa A, Christensen H, Arahal DR et al. Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol 2018; 68:461–466 [View Article]
    [Google Scholar]
  37. Olm MR, Brown CT, Brooks B, Firek B, Baker R et al. Identical bacterial populations colonize premature infant gut, skin, and oral microbiomes and exhibit different in situ growth rates. Genome Res 2017; 27:601–612 [View Article] [PubMed]
    [Google Scholar]
  38. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article] [PubMed]
    [Google Scholar]
  39. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol 2020; 37:1530–1534 [View Article] [PubMed]
    [Google Scholar]
  40. Seemann T. Snippy: fast bacterial variant calling from NGS reads; 2015 https://github.com/tseemann/snippy
  41. Zheng J, Ge Q, Yan Y, Zhang X, Huang L et al. dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Res 2023; 51:W115–W121 [View Article]
    [Google Scholar]
  42. Blin K, Shaw S, Augustijn HE, Reitz ZL, Biermann F et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic Acids Res 2023; 51:W46–W50 [View Article]
    [Google Scholar]
  43. van Heel AJ, de Jong A, Song C, Viel JH, Kok J et al. BAGEL4: a user-friendly web server to thoroughly mine RiPPs and bacteriocins. Nucleic Acids Res 2018; 46:W278–W281 [View Article]
    [Google Scholar]
  44. Johansson MHK, Bortolaia V, Tansirichaiya S, Aarestrup FM, Roberts AP et al. Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder. J Antimicrob Chemother 2021; 76:101–109 [View Article] [PubMed]
    [Google Scholar]
  45. Malberg Tetzschner AM, Johnson JR, Johnston BD, Lund O, Scheutz F. In silico genotyping of Escherichia coli isolates for extraintestinal virulence Genes by use of whole-genome sequencing data. J Clin Microbiol 2020; 58: [View Article]
    [Google Scholar]
  46. McArthur AG, Waglechner N, Nizam F, Yan A, Azad MA et al. The comprehensive antibiotic resistance database. Antimicrob Agents Chemother 2013; 57:3348–3357 [View Article]
    [Google Scholar]
  47. Alcock BP, Raphenya AR, Lau TTY, Tsang KK, Bouchard M et al. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res 2020; 48:D517–D525 [View Article] [PubMed]
    [Google Scholar]
  48. Florensa AF, Kaas RS, Clausen PTLC, Aytan-Aktug D, Aarestrup FM. ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes. Microb Genom 2022; 8:000748 [View Article] [PubMed]
    [Google Scholar]
  49. Wishart DS, Han S, Saha S, Oler E, Peters H et al. PHASTEST: faster than PHASTER, better than PHAST. Nucleic Acids Res 2023; 51:W443–W450 [View Article]
    [Google Scholar]
  50. Merkel D. Docker: lightweight linux containers for consistent development and deployment. Linux J 2014; 2014:
    [Google Scholar]
  51. Nayfach S, Camargo AP, Schulz F, Eloe-Fadrosh E, Roux S et al. CheckV assesses the quality and completeness of metagenome-assembled viral genomes. Nat Biotechnol 2021; 39:578–585 [View Article] [PubMed]
    [Google Scholar]
  52. Team RC. R: A language and environment for statistical computing. R Foundation for Statistical Computing; 2017 http://www.r-project.org/index.html
  53. Kassambara A, Mundt F. factoextra: Extract and Visualize the Results of Multivariate Data Analyses; 2020 http://www.sthda.com/english/rpkgs/factoextra
  54. Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 2016; 32:2847–2849 [View Article]
    [Google Scholar]
  55. Letunic I, Bork P. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res 2021; 49:W293–W296 [View Article] [PubMed]
    [Google Scholar]
  56. Milani C, Lugli GA, Duranti S, Turroni F, Bottacini F et al. Genomic encyclopedia of type strains of the genus Bifidobacterium. Appl Environ Microbiol 2014; 80:6290–6302 [View Article] [PubMed]
    [Google Scholar]
  57. Ramsey M, Hartke A, Huycke M. The Physiology and Metabolism of Enterococci. In Gilmore MS, Clewell DB, Ike Y, Shankar N. eds Enterococci: From Commensals to Leading Causes of Drug Resistant Infection Boston: 2014
    [Google Scholar]
  58. Lugli GA, Milani C, Turroni F, Duranti S, Mancabelli L et al. Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family. BMC Genomics 2017; 18:568 [View Article] [PubMed]
    [Google Scholar]
  59. Wu G, Zhang C, Wu H, Wang R, Shen J et al. Genomic microdiversity of Bifidobacterium pseudocatenulatum underlying differential strain-level responses to dietary carbohydrate intervention. mBio 2017; 8:e02348-16 [View Article] [PubMed]
    [Google Scholar]
  60. Arboleya S, Bottacini F, O’Connell-Motherway M, Ryan CA, Ross RP et al. Gene-trait matching across the Bifidobacterium longum pan-genome reveals considerable diversity in carbohydrate catabolism among human infant strains. BMC Genomics 2018; 19:33 [View Article] [PubMed]
    [Google Scholar]
  61. Milani C, Lugli GA, Duranti S, Turroni F, Mancabelli L et al. Bifidobacteria exhibit social behavior through carbohydrate resource sharing in the gut. Sci Rep 2015; 5:15782 [View Article]
    [Google Scholar]
  62. Stam MR, Danchin EGJ, Rancurel C, Coutinho PM, Henrissat B. Dividing the large glycoside hydrolase family 13 into subfamilies: towards improved functional annotations of alpha-amylase-related proteins. Protein Eng Des Sel 2006; 19:555–562 [View Article] [PubMed]
    [Google Scholar]
  63. Mewis K, Lenfant N, Lombard V, Henrissat B. Dividing the large glycoside hydrolase family 43 into subfamilies: a motivation for detailed enzyme characterization. Appl Environ Microbiol 2016; 82:1686–1692 [View Article] [PubMed]
    [Google Scholar]
  64. Juge N, Tailford L, Owen CD. Sialidases from gut bacteria: a mini-review. Biochem Soc Trans 2016; 44:166–175 [View Article] [PubMed]
    [Google Scholar]
  65. Luo C, Li Y, Chen Y, Fu C, Long W et al. Bamboo lignocellulose degradation by gut symbiotic microbiota of the bamboo snout beetle Cyrtotrachelus buqueti. Biotechnol Biofuels 2019; 12:70 [View Article] [PubMed]
    [Google Scholar]
  66. Salamaga B, Turner RD, Elsarmane F, Galley NF, Kulakauskas S et al. A moonlighting role for LysM peptidoglycan binding domains underpins Enterococcus faecalis daughter cell separation. Commun Biol 2023; 6:428 [View Article] [PubMed]
    [Google Scholar]
  67. Sela DA, Chapman J, Adeuya A, Kim JH, Chen F et al. The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome. Proc Natl Acad Sci U S A 2008; 105:18964–18969 [View Article] [PubMed]
    [Google Scholar]
  68. Garrido D, Ruiz-Moyano S, Lemay DG, Sela DA, German JB et al. Comparative transcriptomics reveals key differences in the response to milk oligosaccharides of infant gut-associated bifidobacteria. Sci Rep 2015; 5:13517 [View Article] [PubMed]
    [Google Scholar]
  69. James K, Motherway MO, Bottacini F, van Sinderen D. Bifidobacterium breve UCC2003 metabolises the human milk oligosaccharides lacto-N-tetraose and lacto-N-neo-tetraose through overlapping, yet distinct pathways. Sci Rep 2016; 6:38560 [View Article] [PubMed]
    [Google Scholar]
  70. Garrido D, Ruiz-Moyano S, Kirmiz N, Davis JC, Totten SM et al. A novel gene cluster allows preferential utilization of fucosylated milk oligosaccharides in Bifidobacterium longum subsp. longum SC596. Sci Rep 2016; 6:35045 [View Article]
    [Google Scholar]
  71. Laursen MF, Sakanaka M, von Burg N, Mörbe U, Andersen D et al. Bifidobacterium species associated with breastfeeding produce aromatic lactic acids in the infant gut. Nat Microbiol 2021; 6:1367–1382 [View Article] [PubMed]
    [Google Scholar]
  72. Milani C, Turroni F, Duranti S, Lugli GA, Mancabelli L et al. Genomics of the genus Bifidobacterium reveals species-specific adaptation to the glycan-rich gut environment. Appl Environ Microbiol 2016; 82:980–991 [View Article] [PubMed]
    [Google Scholar]
  73. Arzamasov AA, Nakajima A, Sakanaka M, Ojima MN, Katayama T et al. Human milk oligosaccharide utilization in intestinal bifidobacteria is governed by global transcriptional regulator NagR. mSystems 2022; 7:e0034322 [View Article] [PubMed]
    [Google Scholar]
  74. Gotoh A, Katoh T, Sakanaka M, Ling Y, Yamada C et al. Sharing of human milk oligosaccharides degradants within bifidobacterial communities in faecal cultures supplemented with Bifidobacterium bifidum. Sci Rep 2018; 8:13958 [View Article] [PubMed]
    [Google Scholar]
  75. Ouwehand AC, Salminen S, Isolauri E. Probiotics: an overview of beneficial effects. Antonie van Leeuwenhoek 2002; 82:279–289 [PubMed]
    [Google Scholar]
  76. Westerlund B, Korhonen TK. Bacterial proteins binding to the mammalian extracellular matrix. Mol Microbiol 1993; 9:687–694 [View Article] [PubMed]
    [Google Scholar]
  77. Styriak I, Nemcová R, Chang Y-H, Ljungh A. Binding of extracellular matrix molecules by probiotic bacteria. Lett Appl Microbiol 2003; 37:329–333 [View Article] [PubMed]
    [Google Scholar]
  78. Dobson A, Cotter PD, Ross RP, Hill C. Bacteriocin production: a probiotic trait?. Appl Environ Microbiol 2012; 78:1–6 [View Article] [PubMed]
    [Google Scholar]
  79. Hegemann JD, Süssmuth RD. Matters of class: coming of age of class III and IV lanthipeptides. RSC Chem Biol 2020; 1:110–127 [View Article] [PubMed]
    [Google Scholar]
  80. Rozman V, Mohar Lorbeg P, Accetto T, Bogovič Matijašić B. Characterization of antimicrobial resistance in lactobacilli and bifidobacteria used as probiotics or starter cultures based on integration of phenotypic and in silico data. Int J Food Microbiol 2020; 314:108388 [View Article] [PubMed]
    [Google Scholar]
  81. Schell MA, Karmirantzou M, Snel B, Vilanova D, Berger B et al. The genome sequence of Bifidobacterium longum reflects its adaptation to the human gastrointestinal tract. Proc Natl Acad Sci USA 2002; 99:14422–14427 [View Article]
    [Google Scholar]
  82. Morton ER, Lynch J, Froment A, Lafosse S, Heyer E et al. Variation in rural African gut microbiota is strongly correlated with colonization by Entamoeba and subsistence. PLoS Genet 2015; 11:e1005658 [View Article] [PubMed]
    [Google Scholar]
  83. Gomez A, Petrzelkova KJ, Burns MB, Yeoman CJ, Amato KR et al. Gut microbiome of coexisting BaAka pygmies and Bantu reflects gradients of traditional subsistence patterns. Cell Rep 2016; 14:2142–2153 [View Article] [PubMed]
    [Google Scholar]
  84. Lokmer A, Aflalo S, Amougou N, Lafosse S, Froment A et al. Response of the human gut and saliva microbiome to urbanization in Cameroon. Sci Rep 2020; 10:2856 [View Article] [PubMed]
    [Google Scholar]
  85. Rubel MA, Abbas A, Taylor LJ, Connell A, Tanes C et al. Lifestyle and the presence of helminths is associated with gut microbiome composition in Cameroonians. Genome Biol 2020; 21:122 [View Article] [PubMed]
    [Google Scholar]
  86. Abange WB, Martin C, Nanfack AJ, Yatchou LG, Nusbacher N et al. Alteration of the gut fecal microbiome in children living with HIV on antiretroviral therapy in Yaounde, Cameroon. Sci Rep 2021; 11:7666 [View Article] [PubMed]
    [Google Scholar]
  87. Even G, Lokmer A, Rodrigues J, Audebert C, Viscogliosi E et al. Changes in the human gut microbiota associated with colonization by Blastocystis sp. and Entamoeba spp. in non-industrialized populations. Front Cell Infect Microbiol 2021; 11:533528
    [Google Scholar]
  88. Derrien M, Mikulic N, Uyoga MA, Chenoll E, Climent E et al. Gut microbiome function and composition in infants from rural Kenya and association with human milk oligosaccharides. Gut Microbes 2023; 15:2178793 [View Article] [PubMed]
    [Google Scholar]
  89. Grześkowiak Ł, Collado MC, Mangani C, Maleta K, Laitinen K et al. Distinct gut microbiota in southeastern African and northern European infants. J Pediatr Gastroenterol Nutr 2012; 54:812–816 [View Article] [PubMed]
    [Google Scholar]
  90. Fontana F, Mancabelli L, Lugli GA, Taracchini C, Alessandri G et al. Investigating the infant gut microbiota in developing countries: worldwide metagenomic meta-analysis involving infants living in sub-urban areas of Côte d’Ivoire. Environ Microbiol Rep 2021; 13:626–636 [View Article] [PubMed]
    [Google Scholar]
  91. Robertson RC, Church JA, Edens TJ, Mutasa K, Min Geum H et al. The fecal microbiome and rotavirus vaccine immunogenicity in rural Zimbabwean infants. Vaccine 2021; 39:5391–5400 [View Article] [PubMed]
    [Google Scholar]
  92. Sela DA, Garrido D, Lerno L, Wu S, Tan K et al. Bifidobacterium longum subsp. infantis ATCC 15697 α-fucosidases are active on fucosylated human milk oligosaccharides. Appl Environ Microbiol 2012; 78:795–803 [View Article] [PubMed]
    [Google Scholar]
  93. Kujawska M, La Rosa SL, Roger LC, Pope PB, Hoyles L et al. Succession of Bifidobacterium longum strains in response to a changing early life nutritional environment reveals dietary substrate adaptations. iScience 2020; 23:101368 [View Article] [PubMed]
    [Google Scholar]
  94. Erney RM, Malone WT, Skelding MB, Marcon AA, Kleman-Leyer KM et al. Variability of human milk neutral oligosaccharides in a diverse population. J Pediatr Gastroenterol Nutr 2000; 30:181–192 [View Article] [PubMed]
    [Google Scholar]
  95. Totten SM, Zivkovic AM, Wu S, Ngyuen U, Freeman SL et al. Comprehensive profiles of human milk oligosaccharides yield highly sensitive and specific markers for determining secretor status in lactating mothers. J Proteome Res 2012; 11:6124–6133 [View Article] [PubMed]
    [Google Scholar]
  96. McGuire MK, Meehan CL, McGuire MA, Williams JE, Foster J et al. What’s normal? oligosaccharide concentrations and profiles in milk produced by healthy women vary geographically. Am J Clin Nutr 2017; 105:1086–1100 [View Article] [PubMed]
    [Google Scholar]
  97. Vinjamuri A, Davis JCC, Totten SM, Wu LD, Klein LD et al. Human milk oligosaccharide compositions illustrate global variations in early nutrition. J Nutr 2022; 152:1239–1253 [View Article] [PubMed]
    [Google Scholar]
  98. Koutsoumanis K, Allende A, Alvarez‐Ordóñez A, Bolton D, Bover‐Cid S et al. Update of the list of Qualified Presumption of Safety (QPS) recommended microbiological agents intentionally added to food or feed as notified to EFSA 19: suitability of taxonomic units notified to EFSA until September 2023. EFS2 2024; 22:e8517 [View Article]
    [Google Scholar]
  99. Lerminiaux NA, Cameron ADS. Horizontal transfer of antibiotic resistance genes in clinical environments. Can J Microbiol 2019; 65:34–44 [View Article] [PubMed]
    [Google Scholar]
  100. Jian Z, Zeng L, Xu T, Sun S, Yan S et al. Antibiotic resistance genes in bacteria: occurrence, spread, and control. J Basic Microbiol 2021; 61:1049–1070 [View Article] [PubMed]
    [Google Scholar]
  101. Gueimonde M, Sánchez B, G de Los Reyes-Gavilán C, Margolles A. Antibiotic resistance in probiotic bacteria. Front Microbiol 2013; 4:202 [View Article] [PubMed]
    [Google Scholar]
  102. Chung The H, Nguyen Ngoc Minh C, Tran Thi Hong C, Nguyen Thi Nguyen T, Pike LJ et al. Exploring the genomic diversity and antimicrobial susceptibility of Bifidobacterium pseudocatenulatum in a Vietnamese population. Microbiol Spectr 2021; 9:e0052621 [View Article] [PubMed]
    [Google Scholar]
  103. Tarracchini C, Viglioli M, Lugli GA, Mancabelli L, Fontana F et al. The integrated probiotic database: a genomic compendium of bifidobacterial health-promoting strains. Microbiome Res Rep 2022; 1:9 [View Article] [PubMed]
    [Google Scholar]
  104. Razavi M, Kristiansson E, Flach C-F, Larsson DGJ. The association between insertion sequences and antibiotic resistance genes. mSphere 2020; 5:e00418-20 [View Article] [PubMed]
    [Google Scholar]
  105. Che Y, Yang Y, Xu X, Břinda K, Polz MF et al. Conjugative plasmids interact with insertion sequences to shape the horizontal transfer of antimicrobial resistance genes. Proc Natl Acad Sci U S A 2021; 118:e2008731118 [View Article] [PubMed]
    [Google Scholar]
  106. Wang N, Hang X, Zhang M, Liu X, Yang H. Analysis of newly detected tetracycline resistance genes and their flanking sequences in human intestinal bifidobacteria. Sci Rep 2017; 7:6267 [View Article]
    [Google Scholar]
  107. Duranti S, Lugli GA, Mancabelli L, Turroni F, Milani C et al. Prevalence of antibiotic resistance genes among human gut-derived bifidobacteria. Appl Environ Microbiol 2017; 83:e02894-16 [View Article] [PubMed]
    [Google Scholar]
  108. Miller WR, Munita JM, Arias CA. Mechanisms of antibiotic resistance in enterococci. Expert Rev Anti Infect Ther 2014; 12:1221–1236 [View Article] [PubMed]
    [Google Scholar]
  109. Rozman V, Mohar Lorbeg P, Treven P, Accetto T, Janežič S et al. Genomic insights into antibiotic resistance and mobilome of lactic acid bacteria and bifidobacteria. Life Sci Alliance 2023; 6:e202201637 [View Article] [PubMed]
    [Google Scholar]
  110. Pei Z, Liu Y, Chen Y, Pan T, Sun X et al. A universe of human gut-derived bacterial prophages: unveiling the hidden viral players in intestinal microecology. Gut Microbes 2024; 16:2309684 [View Article] [PubMed]
    [Google Scholar]
  111. Yu D, Pei Z, Chen Y, Wang H, Xiao Y et al. Bifidobacterium longum subsp. infantis as widespread bacteriocin gene clusters carrier stands out among the Bifidobacterium. Appl Environ Microbiol 2023; 89:e0097923
    [Google Scholar]
  112. Yildirim Z, Johnson MG. Characterization and antimicrobial spectrum of bifidocin B, a bacteriocin produced by Bifidobacterium bifidum NCFB 1454. J Food Prot 1998; 61:47–51 [View Article] [PubMed]
    [Google Scholar]
  113. Cheikhyoussef A, Cheikhyoussef N, Chen H, Zhao J, Tang J et al. Bifidin I – a new bacteriocin produced by Bifidobacterium infantis BCRC 14602: purification and partial amino acid sequence. Food Control 2010; 21:746–753 [View Article]
    [Google Scholar]
  114. Lee JH, Li X, O’Sullivan DJ. Transcription analysis of a lantibiotic gene cluster from Bifidobacterium longum DJO10A. Appl Environ Microbiol 2011; 77:5879–5887 [View Article] [PubMed]
    [Google Scholar]
  115. Martinez FAC, Domínguez JM, Converti A, Oliveira RP de S. Production of bacteriocin-like inhibitory substance by Bifidobacterium lactis in skim milk supplemented with additives. J Dairy Res 2015; 82:350–355 [View Article] [PubMed]
    [Google Scholar]
  116. Bonacina J, Suárez N, Hormigo R, Fadda S, Lechner M et al. A genomic view of food-related and probiotic Enterococcus strains. DNA Res 2017; 24:dsw043 [View Article]
    [Google Scholar]
  117. Prichula J, Primon-Barros M, Luz RCZ, Castro ÍMS, Paim TGS et al. Genome mining for antimicrobial compounds in wild marine animals-associated enterococci. Mar Drugs 2021; 19:328 [View Article]
    [Google Scholar]
  118. Okoye CO, Dong K, Wang Y, Gao L, Li X et al. Comparative genomics reveals the organic acid biosynthesis metabolic pathways among five lactic acid bacterial species isolated from fermented vegetables. N Biotechnol 2022; 70:73–83 [View Article] [PubMed]
    [Google Scholar]
  119. Miyanaga A. Structure and function of polyketide biosynthetic enzymes: various strategies for production of structurally diverse polyketides. Biosci Biotechnol Biochem 2017; 81:2227–2236 [View Article]
    [Google Scholar]
  120. Hou L, Huang H, Li H, Wang S, Ju J et al. Overexpression of A type III PKS gene affording novel violapyrones with enhanced anti-influenza A virus activity. Microb Cell Fact 2018; 17:61
    [Google Scholar]
  121. Zhu WZ, Wang SH, Gao HM, Ge YM, Dai J et al. Characterization of bioactivities and biosynthesis of angucycline/angucyclinone derivatives derived from gephyromycinifex aptenodytis gen. nov., sp. nov. Mar Drugs 2021; 20:sp
    [Google Scholar]
  122. Helfrich EJN, Lin GM, Voigt CA, Clardy J. Bacterial terpene biosynthesis: challenges and opportunities for pathway engineering. Beilstein J Org Chem 2019; 15:2889–2906
    [Google Scholar]
  123. Masyita A, Mustika Sari R, Dwi Astuti A, Yasir B, Rahma Rumata N et al. Terpenes and terpenoids as main bioactive compounds of essential oils, their roles in human health and potential application as natural food preservatives. Food Chem X 2022; 13:100217
    [Google Scholar]
  124. Bottacini F, Ventura M, van Sinderen D, O’Connell Motherway M. Diversity, ecology and intestinal function of bifidobacteria. Microb Cell Fact 2014; 13 Suppl 1:S4 [View Article] [PubMed]
    [Google Scholar]
  125. Alessandri G, van Sinderen D, Ventura M. The genus Bifidobacterium: from genomics to functionality of an important component of the mammalian gut microbiota running title: bifidobacterial adaptation to and interaction with the host. Comput Struct Biotechnol J 2021; 19:1472–1487 [View Article] [PubMed]
    [Google Scholar]
/content/journal/mgen/10.1099/mgen.0.001354
Loading
/content/journal/mgen/10.1099/mgen.0.001354
Loading

Data & Media loading...

Supplements

Loading data from figshare Loading data from figshare
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An error occurred
Approval was partially successful, following selected items could not be processed due to error