Skip to main content
Saudi Journal of Gastroenterology : Official Journal of the Saudi Gastroenterology Association logoLink to Saudi Journal of Gastroenterology : Official Journal of the Saudi Gastroenterology Association
. 2023 Feb 21;29(3):171–176. doi: 10.4103/sjg.sjg_444_22

Gut virome profile in healthy Saudi children

Mohammad I El Mouzan 1,, Asaad A Assiri 1, Ahmed A Al Sarkhy 2, Mona M Alasmi 3
PMCID: PMC10358797  PMID: 37313947

Abstract

Background:

The role of viruses is well known in health and disease. The aim of this report was to describe the profile of viruses in the gut of healthy Saudi children.

Methods:

In 20 randomly selected school age children from Riyadh, stool samples were collected in cryovials and stored at −80° C. At the time of analysis, the samples were sent by express mail in a temperature-controlled container to the laboratory in the USA, Viral DNA was isolated and shotgun metagenomic sequencing was performed. The abundance of each organism was expressed as an average relative percentage across the viral phylogenetic tree from phyla to species.

Results:

The median age of the children was 11.3 (range 6.8–15.4) years, and 35% were males. Caudovirales were the most abundant bacteriophage order (77%) and Siphoviridae, Myoviridae, and Podoviridae families predominated, accounting for 41%, 25%, and 11%, respectively. Among the viral bacteriophage species, the most abundant were the Enterobacteria phages.

Conclusion:

The profile and abundance of the gut virome in healthy Saudi children reveal important differences from the literature. Further studies from different populations with larger sample sizes are needed to understand the role of gut viruses in the pathogenesis of disease in general and in the response to fecal microbiota therapy in particular.

Keywords: Children, microbiome, Saudi Arabia, virome

INTRODUCTION

The gut virome includes all the nucleic acids (DNA and RNA) of the virus-like particles. Quantitatively, the virome is at least equal to bacteria, and may outnumber bacterial cells in the gut.[1,2] The virome is dominated by bacteriophages which are viruses that infect bacteria. Bacteriophages can be lytic or lysogenic.[3] Lytic viruses penetrate bacteria and control the genetic replication to produce virions that are released and may infect new bacteria. Lysogenic viruses integrate into the genome of bacteria without lysing (killing) them. Thus, the ability of phages to transfer genes from one host to another can lead to increased diversity of viral species, increased antibiotic resistance, and/or induction of virulence factors in the host bacteria.[4] Other phages may alter the antigenicity of their hosts by modifying the O-antigen component. In the era of fecal microbiota therapy (FMT), studies on the role of the viral component of fecal samples of healthy donors and their effects on the response to FMT are needed.[5,6] Accordingly, the characterization of the virome profile in health is the first step. As with the bacterial component of the microbiome, the genetic makeup of an individual’s virome is influenced by diet, nutrition status, health, socioeconomic group, geographical location, age, lifestyle, season, and medication.[7,8,9] Studies on the role of dietary lifestyle in the gut virome profile suggested variations between populations with different dietary lifestyles, indicating the need for studies from different populations.[8,9,10,11] In this study, we used shotgun metagenomic DNA sequencing (untargeted sequencing) of purified viral samples from healthy children.[12] The objective was to characterize the profile of bacteriophages and DNA eukaryotic viruses in a cohort of healthy Saudi children, a Middle eastern population. RNA eukaryotic viruses were not analyzed.

SUBJECTS AND METHODS

The study population

The study was performed at King Khalid University Hospital, King Saud University Medical City, King Saud University; and King Fahad Medical City Children Hospital, Ministry of Health, Riyadh, the Kingdom of Saudi Arabia (KSA). Stool samples were collected from healthy schoolchildren taken from a larger random sample recruited for a mass screening study.[13] The children were on a normal family diet at the time of sample collection.

Sample collection and storage

Stool samples were collected in cryovials and stored at −80°C. At the time of analysis, the samples were sent by express mail in a temperature-controlled container filled with dry ice until delivery, to the laboratory where metagenomic, bioinformatics, and statistical analyses were performed (CosmosID, Rockville, MD, USA).

DNA isolation and sequencing

DNA was isolated using the DNeasy PowerSoil DNA kit (Qiagen, Hilden, Germany), with each process done according to the manufacturer’s instructions. Isolated viral DNA was quantified by Qubit (Thermo Fisher Scientific, Waltham, MA, USA).

DNA libraries were prepared using the Illumina Nextera XT library preparation kit, according to the manufacturer’s protocol. Library quantity and quality were assessed with Qubit and Tapestation (Agilent Technologies, Santa, Clara, CA, USA). Libraries were then sequenced on an HiSeq platform (2 × 150 bp; Illumina, San Diego, CA, USA).

Bioinformatic and abundance analysis

Unassembled sequencing reads were directly analyzed with the CosmosID bioinformatics platform (CosmosID Inc., Rockville, MD, USA) described elsewhere for microbiome analysis and quantification of each organism’s relative abundance.[14,15,16,17] Briefly, the system uses curated genome databases and a high-performance data-mining algorithm that rapidly disambiguates hundreds of millions of metagenomic sequence reads into the discrete microorganisms engendering the sequences.

The abundance of each organism was calculated and expressed as an average relative percentage across the viral phylogenetic tree from phyla to species.

The datasets generated during this study are available in the NCBI SRA. Access link: http://www.ncbi.nlm.nih.gov/bioproject/757365.

Ethical approval

This study was approved by the Institutional Review Board of the College of Medicine, King Saud University Riyadh, Kingdom of Saudi Arabia (no. 14/4464/IRB). All children and/or their parents gave informed consent and/or assent for participation in the study.

RESULTS

The study population

Twenty healthy Saudi children were enrolled. The median age was 11.3 (range 6.8–15.4) years, and 35% were males. The weight average and range were 46.9 (20-76) kg and the BMI average and range were 19.8 (12.5-28.0) kg/m2. The children were on a normal Saudi family diet dominated by the consumption of rice, bread, red meat, and chicken. In addition, the children frequently consumed fast food and sweetened gaseous drinks but rarely fruit or vegetables.

The abundance of viruses

The profile and abundance in this study were determined by shotgun analysis of the DNA of viral particles only and did not include RNA viruses. Among 206 sequenced taxa, only 24 (11.7%) were not identified in the available database and therefore were designated unidentified. Caudovirales were the most abundant bacteriophage order (77%). The abundance of the top families and genera is illustrated in Figure 1. Among the list of viral families, Siphoviridae, Myoviridae, and Podoviridae families predominated, accounting for 41%, 25%, and 11%, respectively. Similarly, the most abundant genera included Lambdavirus, P2virus, and Nona33virus accounting for 26%, 12%, and 1.5%, respectively [Table 1]. The abundance of all the identified bacteriophage species is shown in Table 2. Among the Enterobacteria phages, the most abundant species were Enterobacteria phage BP-4795, Enterobacteria phage YYZ-2008, Enterobacteria phage mEp460, and Enterobacteria phage P88 accounting for 6.6%, 5.4%, 3.3%, and 3.3%, respectively. The most abundant Escherichia phages included Escherichia phage TL-2011b (2.5%), Escherichia virus P2 (2.4%), Escherichia virus HK022 (2.1%), and Escherichia virus If1 (1.8%), whereas Lactobacillus phage KC5a was the most abundant lactobacillus phage (2.9%). Among Lactococcus phages, Lactococcus phage ul36 was the most abundant (1.7%) and Salmonella phage RE-2010 was the most abundant among the Salmonella phages (1%). Shigella phage SfIV was the most abundant Shigella phage (1.4%) and Streptococcus phage 20617 was the most abundant Streptococcus phage (15%).

Figure 1.

Figure 1

Illustration of the abundance of the top families and genera. Panel (a) shows the predominance of the Siphoviridae family (41%) and the others (23%) cover all other family members with abundance less than 11% each. Panel (b) shows the predominance of the Lambdavirus genera (26%) and the others refer to all other genera with abundance less than 1.5% each

Table 1.

Viral abundance from order to genera level

Level Organism Abundance Level Organism Abundance
Order Caudovirales 0.77 Genera Lambdavirus 0.26
Family Geminiviridae 0.0008 Genera Muvirus 0.001
Family Inoviridae 0.018 Genera N15virus 1.40−05
Family Myoviridae 0.25 Genera Nona33virus 0.015
Family Podoviridae 0.11 Genera P1virus 0.01
Family Retroviridae 9.95−05 Genera P22virus 0.014
Family Siphoviridae 0.41 Genera P2virus 0.12
Genera Begomovirus 0.0008 Genera Pa6virus 4.55−05
Genera C2virus 0.0001 Genera Phietavirus 8.90−05
Genera Cc31virus 0.0012 Genera Phifelvirus 0.0001
Genera Epsilon15virus 0.033 Genera Rb69virus 5.70−05
Genera Gammaretrovirus 9.95−05 Genera Sfi11virus 0.004
Genera Hp1virus 0.0001 Genera Sfi21dt1virus 0.005
Genera Jerseyvirus 0.0002 Genera Tl2011virus 0.006

Table 2.

Abundance of viral species

No. Organism Abundance No. Organism Abundance
1 Bacteroides phage B124-14 0.006 61 Lactobacillus phage LF1 0.001
2 Bacteroides phage B40-8 0.002 62 Lactobacillus phage Lrm1 6.35-05
3 Cronobacter phage ENT39118 1.75-05 63 Lactobacillus phage phiadh 0.0001
4 Cronobacter phage ENT47670 9.00-06 64 Lactobacillus prophage Lj771 0.0002
5 Cronobacter phage phiES15 2.00-05 65 Lactobacillus prophage Lj965 1.35-05
6 Enterobacter virus CC31 0.0008 66 Lactococcus phage 1706 9.50-06
7 Enterobacter virus PG7 0.0004 67 Lactococcus phage 340 1.35-05
8 Enterobacteria phage 933W 0.014 68 Lactococcus phage bIBB29 2.95-05
9 Enterobacteria phage BP-4795 0.066 69 Lactococcus phage bIL170 2.45-05
10 Enterobacteria phage cdtI 0.030 70 Lactococcus phage bIL285 0.001
11 Enterobacteria phage fiAA91-ss 0.024 71 Lactococcus phage bIL286 0.002
12 Enterobacteria phage HK106 0.003 72 Lactococcus phage bIL309 0.001
13 Enterobacteria phage HK140 0.003 73 Lactococcus phage bIL310 0.01
14 Enterobacteria phage HK225 0.001 74 Lactococcus phage bIL311 0.011
15 Enterobacteria phage HK446 0.002 75 Lactococcus phage bIL312 0.006
16 Enterobacteria phage HK542 0.002 76 Lactococcus phage bIL67 9.40-05
17 Enterobacteria phage HK544 0.006 77 Lactococcus phage BK5-T 0.001
18 Enterobacteria phage HK629 0.002 78 Lactococcus phage BM13 0.004
19 Enterobacteria phage HK630 0.002 79 Lactococcus phage c2 2.35-05
20 Enterobacteria phage HK633 0.003 80 Lactococcus phage jm2 5.50-06
21 Enterobacteria phage IME10 0.007 81 Lactococcus phage P008 5.00-06
22 Enterobacteria phage mEp043 0.001 82 Lactococcus phage P335 sensu lat 0.001
23 Enterobacteria phage mEp235 0.0004 83 Lactococcus phage phiLC3 0.001
24 Enterobacteria phage mEp237 0.003 84 Lactococcus phage r1t 0.002
25 Enterobacteria phage mEp460 0.035 85 Lactococcus phage TP901-1 0.006
26 Enterobacteria phage mEpX1 9.35-05 86 Lactococcus phage Tuc2009 0.007
27 Enterobacteria phage mEpX2 0.0004 87 Lactococcus phage ul36 0.017
28 Enterobacteria phage P4 0.023 88 Lambdavirus_u_s 0.0004
29 Enterobacteria phage P88 0.033 89 Leuconostoc phage Lmd1 2.80-05
30 Enterobacteria phage phiP27 0.003 90 Leuconostoc phage P793 5.50-06
31 Enterobacteria phage RB3 2.40-05 91 Leuconostoc phage phiLN03 0.0008
32 Enterobacteria phage SfV 0.015 92 Leuconostoc phage phiLN04 0.001
33 Enterobacteria phage ST104 0.0002 93 Leuconostoc phage phiLN12 4.75-05
34 Enterobacteria phage YYZ-2008 0.054 94 Murine leukemia virus 3.50-06
35 Enterobacterial phage mEp213 7.90-05 95 Pectobacterium phage ZF40 2.15-05
36 Enterobacterial phage mEp234 0.002 96 Phage Gifsy-2 1.50-05
37 Enterobacterial phage mEp390 0.001 97 Propionibacterium virus P1001 4.55-05
38 Escherichia phage D108 0.001 98 Salmonella phage epsilon34 0.003
39 Escherichia phage HK639 0.0001 99 Salmonella phage Fels-1 4.50-05
40 Escherichia phage HK75 0.001 100 Salmonella phage Fels-2 0.001
41 Escherichia phage P13374 0.002 101 Salmonella phage FSL SP-004 0.002
42 Escherichia phage TL-2011b 0.025 102 Salmonella phage g341c 4.00-06
43 Escherichia phage vB_EcoM 1.50-05 103 Salmonella phage HK620 0.004
44 Escherichia virus 933W 0.012 104 Salmonella phage RE-2010 0.01
45 Escherichia virus 9g 3.50-06 105 Salmonella phage SE1 0.0002
46 Escherichia virus HK022 0.021 106 Salmonella phage SE2 0.0002
47 Escherichia virus HK97 0.003 107 Salmonella phage SPN9CC 0.0003
48 Escherichia virus HX01 2.00-05 108 Salmonella phage SSU5 0.008
49 Escherichia virus If1 0.01 109 Salmonella phage ST64B 9.00-05
50 Escherichia virus JS09 2.45-05 110 Salmonella phage vB_SemP_Emek 0.001
51 Escherichia virus Min27 0.001 111 Salmonella phage Vi II-E1 3.50-05
52 Escherichia virus N15 1.40-05 112 Salmonella virus Epsilon15 7.85-05
53 Escherichia virus P1 0.01 113 Salmonella virus P22 0.0002
54 Escherichia virus P2 0.02 114 Salmonella virus PsP3 0.002
55 Escherichia virus phiV10 0.01 115 Salmonella virus SPN1S 3.50-06
56 Escherichia virus RB69 1.25-05 116 Shigella phage Sf6 0.006
57 Escherichia virus TL2011 0.01 117 Shigella phage SfII 0.01
58 Klebsiella phage phiKO2 0.0002 118 Shigella phage SfIV 0.013
59 Lactobacillus phage KC5a 0.03 119 Spleen focus-forming virus 9.60-05
60 Lactobacillus phage Lc-Nu 0.0003 120 Staphylococcus phage Ipla5 8.90-05
121 Streptococcus phage 20617 0.15 138 Streptococcus phage O1205 0.0001
122 Streptococcus phage 2972 6.30-05 139 Streptococcus phage PH 10 0.001
123 Streptococcus phage 315.1 5.25-05 140 Streptococcus phage PH 15 6.70-05
124 Streptococcus phage 315.2 0.0002 141 Streptococcus phage phiBHN167 4.50-06
125 Streptococcus phage 315.6 3.90-05 142 Streptococcus phage Sfi11 0.0007
126 Streptococcus phage 5093 0.0007 143 Streptococcus phage Sfi19 0.0007
127 Streptococcus phage 7201 0.001 144 Streptococcus phage Sfi21 0.0004
128 Streptococcus phage 858 0.001 145 Streptococcus phage SM1 0.0003
129 Streptococcus phage Abc2 0.001 146 Streptococcus phage TP-778L 0.001
130 Streptococcus phage Alq132 0.002 147 Streptococcus phage TP-J34 7.70-05
131 Streptococcus phage DCC1738 0.0002 148 St×2-converting phage 1717 0.083
132 Streptococcus phage DT1 0.001 149 St×2-converting phage 86 0.014
133 Streptococcus phage EJ-1 0.0004 150 Synechococcus phage S-CBS1 1.80-05
136 Streptococcus phage M102 3.70-05 151 Vibrio phage pYD38-A 0.0002
137 Streptococcus phage MM1 0.0001 152 Yersinia phage L-413C 0.046
153 Watermelon chlorotic stunt virus 0.001

DISCUSSION

Knowledge of the viral profile in healthy individuals is a prerequisite for the study of the role of viruses in disease pathogenesis and etiology. Bacteriophages are the most abundant viruses in humans and infection of bacteria by phages can alter microbiota structure by killing host cells or altering their phenotype, contributing either to the maintenance of intestinal homeostasis or causing microbial imbalance and development of chronic infectious and autoimmune diseases.

To our knowledge, this is the first report on gut viral profiles in healthy Saudi children, a Middle Eastern population who have different cultures and dietary lifestyles than their Western counterparts. Our findings that bacteriophages were the most abundant viruses and Caudovirales were the most abundant order (77%), are consistent with the results of several reviews.[18,19,20,21,22] Interestingly, crAssphages, (cross assembly phage; members of the Caudovirales) were not found in the fecal samples of our children, a finding contrary to reports of the abundance of more than 50% of the human gut samples.[23,24,25] The explanation of this important variation is not clear at present. It is possible that the lack of detection of this virus and others in our sample is related to age, ethnicity, culture, dietary lifestyle, or geographic differences.[26,27] The significance of these new viruses in health or disease is still not clear.[28] Nevertheless, our results are consistent with reports of the predominance of bacteriophages of the Siphoviridae, Podoviridae, and Myoviridae families. Microviridae are less abundant in infants but rise in abundance with age.[29,30] In addition, the profile of phage species in this report is consistent with some studies, reporting that phages of the early bacterial colonizers, including Escherichia, Klebsiella, Enterococcus, Staphylococcus, and Streptococcus species, were some of the most abundant early virome members in children.[31,32]

Similarities with previous reports include the predominance of the bacteriophages Caudovirales order; the Siphoviridae, Podoviridae, and Myoviridae families; the Escherichia, Klebsiella, Enterococcus, Staphylococcus, and Streptococcus species. The most important difference was the lack of cross assembly phage in our study.

Our study has a few limitations including the relatively small sample size which may be acceptable for this first report of the gut virome in Saudi children. In addition, the limitation to DNA viruses is recognized.

In conclusion, the profile and abundance of the intestinal virome in healthy Saudi children reveal similarities and distinctive features as illustrated in the literature. Further studies from different populations with larger sample sizes are needed to advance knowledge of the importance of gut viruses in the pathogenesis of disease in general and their role in the response to FMT in particular.

Financial support and sponsorship

The Deanship of Scientific Research, King Saud University.

Conflicts of interest

There are no conflicts of interest.

Acknowledgement

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through Research Group No (RGP-1441-007).

REFERENCES

  • 1.Reyes A, Semenkovich NP, Whiteson K, Rohwer F, Gordon JI. Going viral: next-generation sequencing applied to phage populations in the human gut. Nat Rev Microbiol. 2012;10:607–17. doi: 10.1038/nrmicro2853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Barr JJ, Auro R, Furlan M, Whiteson KL, Erb ML, Pogliano J, et al. Bacteriophage adhering to mucus provide a non-host-derived immunity. Proc Natl Acad Sci USA. 2013;110:10771–6. doi: 10.1073/pnas.1305923110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Weinbauer MG. Ecology of prokaryotic viruses. FEMS Microbiol Rev. 2004;28:127–81. doi: 10.1016/j.femsre.2003.08.001. [DOI] [PubMed] [Google Scholar]
  • 4.Rakhuba DV, Kolomiets EI, Dey ES, Novik GI. Bacteriophage receptors, mechanisms of phage adsorption and penetration into host cell. Pol J Microbiol. 2010;59:145–55. [PubMed] [Google Scholar]
  • 5.Zuo T, Wong SH, Lam K, Lui R, Cheung K, Tang W, et al. Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut. 2017;67:634–43. doi: 10.1136/gutjnl-2017-313952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Anonye BO. Commentary: Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Front Cell Infect Microbiol. 2018;8:104. doi: 10.3389/fcimb.2018.00104. doi:10.3389/fcimb. 2018.00104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kim MS, Bae JW. Spatial disturbances in altered mucosal and luminal gut viromes of diet induced obese mice. Environ Microbiol. 2016;18:1498–510. doi: 10.1111/1462-2920.13182. [DOI] [PubMed] [Google Scholar]
  • 8.Minot S, Sinha R, Chen J, Li H, Keilbaugh SA, Wu GD, et al. The human gut virome: Inter-individual variation and dynamic response to diet. Genome Research. 2011;21:1616–25. doi: 10.1101/gr.122705.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ogilvie LA, Caplin J, Dedi C, Diston D, Cheek E, Bowler L, et al. Comparative (meta) genomic analysis and ecological profiling of human gut-specific bacteriophage fB124-14. PLoS One. 2012;7:e35053. doi: 10.1371/journal.pone.0035053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Reyes A, Blanton LV, Cao S, Zhao G, Manary M, Trehan I, et al. Gut DNA viromes of Malawian twins discordant for severe acute malnutrition. Proc Natl Acad Sci U S A. 2015;112:11941–6. doi: 10.1073/pnas.1514285112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Delwart E. A roadmap to the human virome. PLoS Pathog. 2013;9:e1003146. doi: 10.1371/journal.ppat.1003146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Breitbart M, Hewson I, Felts B, Mahaffy JM, Nulton J, Salamon P, et al. Metagenomic analyses of an uncultured viral community from human feces. J Bacteriol. 2003;185:6220–3. doi: 10.1128/JB.185.20.6220-6223.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Al-Hussaini A, Troncone R, Khormi M, AlTuraiki M, Alkhamis W, Alrajhi M, et al. Mass screening for celiac disease among school-aged children: Toward exploring celiac iceberg in Saudi Arabia. J Pediatr Gastroenterol Nutr. 2017;65:646–65. doi: 10.1097/MPG.0000000000001681. [DOI] [PubMed] [Google Scholar]
  • 14.Ottesen A, Ramachandran P, Reed E, White JR, Hasan N, Subramanian P, et al. Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak. BMC Microbiol. 2016;16:275. doi: 10.1186/s12866-016-0894-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hasan NA, Young BA, Minard-Smith AT, Saeed K, Li H, Heizer EM, et al. Microbial community profiling of human saliva using shotgun metagenomic sequencing. PLoS One. 2014;9:e97699. doi: 10.1371/journal.pone.0097699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lax S, Smith DP, Hampton-Marcell J, Owens SM, Handley KM, Scott NM, et al. Longitudinal analysis of microbial interaction between humans and the indoor environment. Science. 2014;345:1048–52. doi: 10.1126/science.1254529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ponnusamy D, Kozlova EV, Sha J, Erova TE, Azar SR, Fitts EC, et al. Cross-talk among flesh-eating Aeromonas hydrophila strains in mixed infection leading to necrotizing fasciitis. Proc Natl Acad Sci U S A. 2016;113:722–7. doi: 10.1073/pnas.1523817113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Aggarwala V, Liang G, Bushman FD. Viral communities of the human gut:metagenomic analysis of composition and dynamics. Mob DNA. 2017;8:12. doi: 10.1186/s13100-017-0095-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shkoporov AN, Hill C. Bacteriophages of the human gut: The “known unknown”of the microbiome. Cell Host Microbe. 2019;25:195–209. doi: 10.1016/j.chom.2019.01.017. [DOI] [PubMed] [Google Scholar]
  • 20.Carding SR, Davis N, Hoyles L. Review article: The human intestinal virome in health and disease. Aliment Pharmacol Ther. 2017;46:800–15. doi: 10.1111/apt.14280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lim ES, Wang D, Holtz LR. The bacterial microbiome and virome milestones of infant development. Trends Microbiol. 2016;24:801–10. doi: 10.1016/j.tim.2016.06.001. [DOI] [PubMed] [Google Scholar]
  • 22.Virgin HW. The virome in mammalian physiology and disease. Cell. 2014;157:142–50. doi: 10.1016/j.cell.2014.02.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Dutilh B, Cassman N, McNair K, Sanchez SE, Silva GGZ, Boling L, et al. A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomes. Nat Commun. 2014;5:1–11. doi: 10.1038/ncomms5498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Guerin E, Shkoporov A, Stockdale SR, Clooney AG, Ryan FJ, Sutton TDS, et al. Biology and taxonomy of crAss-like bacteriophages, the most abundant virus in the human gut. Cell Host Microbe. 2018;24:653–64. doi: 10.1016/j.chom.2018.10.002. e6. [DOI] [PubMed] [Google Scholar]
  • 25.Edwards RA, Vega AA, Norman HM, Ohaeri M, Levi K, Dinsdale EA, et al. Global phylogeography and ancient evolution of the widespread human gut virus crAssphage. Nat Microbiol. 2019;4:1727–36. doi: 10.1038/s41564-019-0494-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Gregory AC, Zablocki O, Zayed AA, Howell A, Bolduc B, Sullivan MB. The Gut Virome Database reveals age-dependent patterns of virome diversity in the human gut. Cell Host Microbe. 2020;28:724–40. doi: 10.1016/j.chom.2020.08.003. e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rampelli S, Turroni S, Schnorr SL, Soverini M, Quercia S, Barone M, et al. Characterization of the human DNA gut virome across populations with different subsistence strategies and geographical origin. Environ Microbiol. 2017;19:4728–35. doi: 10.1111/1462-2920.13938. [DOI] [PubMed] [Google Scholar]
  • 28.Mukhopadhya I, Segal JP, Carding SR, Hart AL, Hold GL. The gut virome: the ‘missing link’ between gut bacteria and host immunity? Ther Adv Gastroenterol. 2019;12:1–17. doi: 10.1177/1756284819836620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Liang G, Zhao C, Zhang H, Mattei L, Sherrill-Mix S, Bittinger K, et al. The stepwise assembly of the neonatal virome is modulated by breastfeeding. Nature. 2020;581:470–4. doi: 10.1038/s41586-020-2192-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lim ES, Zhou Y, Zhao G, Bauer IK, Droit L, Ndao IM, et al. Early life dynamics of the human gut virome and bacterial microbiome in infants. Nat. Med. 2015;21:1228–34. doi: 10.1038/nm.3950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bäckhed F, Roswall J, Peng Y, Feng Q, Jia H, Kovatcheva-Datchary P, et al. Dynamics and stabilization of the human gut microbiome during the first year of life. Cell Host Microbe. 2015;17:690–703. doi: 10.1016/j.chom.2015.04.004. [DOI] [PubMed] [Google Scholar]
  • 32.Baumann-Dudenhoeffer AM, D’Souza AW, Tarr PI, Warner BB, Dantas G. Infant diet and maternal gestational weight gain predict early metabolic maturation of gut microbiomes. Nat Med. 2018;24:1822–9. doi: 10.1038/s41591-018-0216-2. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Saudi Journal of Gastroenterology : Official Journal of the Saudi Gastroenterology Association are provided here courtesy of Wolters Kluwer -- Medknow Publications

RESOURCES