ArticlePDF Available

Microbiome Signature and Diversity Profiling of Normal Skin of Human in Saudi Arabia

Authors:

Abstract and Figures

Background: Studying human skin-associated bacterial communities is crucial to understanding human diseases, disease progression, and their role in maintaining human health. Objectives: This study aimed to identify normal (healthy) skin microbiome signatures of eight individuals living in Jeddah, Makkah Al-Mukarramah region, Saudi Arabia. Methods: The study involved the analysis of resident skin microbiome in inner elbow of the right arm after ethical approval is issued and an informed consent form is signed by participant individuals. Results: Phylogenetic tree indicated the existence of four phyla, e.g., Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria. Firmicutes were shown to be the highest in abundance, while Bacteroidetes were the lowest. At the genus level, Staphylococcus was the highest in abundance, while Enterococcus was the lowest. At the species level, Bacilluscereus was the highest in abundance, while Roseomonasmucosa was the lowest. The analysis for the highly abundant operational taxonomic units (OTUs) indicated a dramatic difference between sexes referring to either genera or species of which Staphylococcussp., Erwiniasp., Pseudomonassp., Sphingomonassp., Corynebacteriumsp., Propionibacterium acnes, Kocuria palustris are higher in males, while Bacillus cereus, Bacillus sp., Erwinia sp., Corynebacterium sp., Micrococcus sp., Pseudomonassp. are lower in males. Conclusions: The study succeeded in detecting the skin microbiome of individuals in Saudi Arabia.
Uncorrected Proof
Jundishapur J Microbiol. 2021 February; 14(2):e113355.
Published online 2021 May 22.
doi: 10.5812/jjm.113355.
Research Article
Microbiome Signature and Diversity Profiling of Normal Skin of
Human in Saudi Arabia
Hanan AlQattan 1, *, Sherif Edris 2,3, 1 , Aala A.Abulfaraj 4, **, Raed ALbiheyri 1, Lojayn Tollbah 1,
Mohammed Alghamdi. 1, Ahmed Bahieldin 1, 2 , Sameer Zimmo 5and Rashad Al-Hindi 1
1Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
2Department of Genetics, Faculty of Agriculture, Ain Shams University, Cairo, Egypt
3Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), Faculty of Medicine, King Abdulaziz University,Jeddah, Saudi Arabia
4Department of Biological Sciences, Science and Arts College, Rabigh Campus, King Abdulaziz University, Jeddah, Saudi Arabia
5Department of Dermatology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
*Corresponding author: Department of Biological Sciences, Faculty of Science, King Abdulaziz University,Jeddah, Saudi Arabia. Email: halgattan0001@stu.kau.edu.sa, Tel:
+966- 536935619
**Corresponding author: Department of Biological Sciences-Rabigh Campus, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Email: aaabulfaraj@kau.edu.sa
Received 2021 March 19; Revised 2021 April 27; Accepted 2021 April 28.
Abstract
Background: Studying human skin-associated bacterial communities is crucial to understanding human diseases, disease progres-
sion, and their role in maintaining human health.
Objectives: This study aimed to identify normal (healthy) skin microbiome signatures of eight individuals living in Jeddah, Makkah
Al-Mukarramah region, Saudi Arabia.
Methods: The study involved the analysis of resident skin microbiome in inner elbow of the right arm after ethical approval is
issued and an informed consent form is signed by participant individuals.
Results: Phylogenetic tree indicated the existence of four phyla, e.g., Actinobacteria,Bacteroidetes,
Firmicutes,Proteobacteria.Firmicutes were shown to be the highest in abundance, while Bacteroidetes were the lowest. At the
genus level, Staphylococcus was the highest in abundance, while Enterococcus was the lowest. At the species level, Bacilluscereus
was the highest in abundance, while Roseomonasmucosa was the lowest. The analysis for the highly abundant operational taxo-
nomic units (OTUs) indicated a dramatic difference between sexes referring to either genera or species of which Staphylococcussp.,
Erwiniasp., Pseudomonassp., Sphingomonassp., Corynebacteriumsp., Propionibacterium acnes,Kocuria palustris are higher in males, while
Bacillus cereus,Bacillus sp., Erwinia sp., Corynebacterium sp., Micrococcus sp., Pseudomonassp. are lower in males.
Conclusions: The study succeeded in detecting the skin microbiome of individuals in Saudi Arabia.
Keywords: Skin, Microbiome, 16S rRNA Gene, Swabbing, Next Generation Sequencing
1. Background
The human body is the home of more than one tril-
lion microbes with a diverse variety of commensal mi-
crobes that play an important role in the health of the
individual. These microbes inhabit diverse habitats such
as the gut, skin, vagina, oral, etc. The human skin is
the largest organ of the human body and plays an im-
portant role as the first line of defense against external
environmental changes and invading pathogens (1). The
skin is an ecosystem composed of microbial communities
that inhabita range of physiologically andtopographically
distinct niches, including sebaceous/nonsebaceous, hair-
bearing/glabrous, moist/dry, and creased/non-creased re-
gions (2,3). Human microbiome in healthy skin and the
overall well-being of the individual has been started to be
appreciated since years ago (4). Cataloging the healthy mi-
crobiome is a mandatory first step toward identification
and correction of the microbial configurations that are im-
plicated in diseases (5). The analysis of the human skin mi-
crobiome helps detect the cause behind the occurrence of
many complex diseases (6).
2. Objectives
The aim of this study was to identify normal skin mi-
crobiome signature of healthy Saudi individuals living in
Jeddah, Saudi Arabia through the analysis of 16S rRNA of
the resident skin microbiome.
Copyright © 2021, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License
(http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly
cited.
Uncorrected Proof
AlQattan H et al.
3. Methods
Eight healthy volunteers from Saudi Arabia (4 males
and 4 females), aged 20 to 37 years, were enrolled in the
current study. The inclusion criteria were no history of
dermatologic disorders or current skin infection (atopic
dermatitis, psoriasis, and stasis eczema), use of no skin
creams or moisturizer before sampling, no treatment with
chemotherapy or radiation, or subjects treated with antibi-
otics within the last three months. Samples were collected
by swabbing from inner elbow of the right arm for each
subject with no prior cleaning or treatment of skin surface
using iSWAB Microbiome Collection kit.
DNAs were extracted using the QIAamp® DNA Micro-
biome kit (Qiagen®51306; North Rhine-Westphalia, Ger-
many) according to the manufacturer’s instructions. PCR
of the V3-V4 regions of bacterial 16S rRNA using 338F
and 806R primers was done following standard proce-
dure (e.g., initial denaturation at 95°C for 5 min; 25 cy-
cles of denaturation at 95°C for 30s, annealing at 56°C
for 30s, and extension at 72°C for 40s, and final exten-
sion of 72°C for 10 min), while deep sequencing was done
at Beijing Genome Institute (BGI), China using Illumina
platform. Raw sequencing data were deposited in the Eu-
ropean Nucleotide Archive (ENA) and received no. PR-
JNA609106. These data were analyzed using the Quanti-
tative Insights Into Microbial Ecology 2 (QIIME2) package
v.2018.11; (https://qiime2.org). Subsequent bioinformatics
analysis was done following Abuljadayel et al. (7).
4. Results
4.1. Raw Data Statistics
Statistics of raw data for eight healthy skin micro-
biome are shown in Table 1, and data were described in
Appendix 1 and Appendix 2, while results of OTU annota-
tion are shown in Appendix 20. Alpha diversity was ap-
plied to analyze the complexity of species. Shannon and
Simpson indices (Alpha diversity measures) indicated no
significant differences between male and female groups
(Appendix 21 and Appendix 3). The results in Appendix 4
indicated that F1 and F3 subjects had the lowest richness
as referred to by Shannon index, while M4 and F4 showed
the highest (Appendix 4). As expected, the data of evenness
for Simpson index indicated opposite results (Appendix
4). Plot of principal coordinate analysis (PCoA) (shown
in Appendix 5) indicated separation between male and fe-
male samples. Rarefaction curves showed that the maxi-
mum permitted number of reads for further analysis was
~ 73,000 (Appendix 6).
4.2. Normal Skin Microbiome Signatures at the Phylum Up to
Species Levels.
A threshold of 10 reads was considered highly abun-
dant (Appendix 20) that was met for a number of 21 out
of the 28 OTUs (Appendix 22). These OTUs are described
in Appendix 23. Phylogenetic tree indicated the existence
of four phyla (Figure 1). They include Actinobacteria (six
genera), Bacteroidetes (one genus), Firmicutes (four gen-
era), and Proteobacteria (six genera). The results of Ap-
pendix 23 align with those of the heat maps at the differ-
ent taxa levels (Appendix 7-12). Venn diagram showed 17
OTUs common in both male and female groups (Appendix
13), while five OTUs were unique in male (Curtobacterium
spp.1, Roseomonas mucosa,Corynebacterium spp.4, Capno-
cytophaga spp.1, and Mogibacteriaceae, and six in female
(Agrobacteriumspp.1, Acinetobacter spp.1, Enterococcus spp.1,
Gardnerella spp.1, Lactobacillus spp.1 and Corynebacterium
spp.5). The latter results were not considered for further
analysis due to the low number of sequences for each OTU
(Appendix 13).
4.3. Abundance of Different Microbes Across Sex
Abundance of microbes (weighted Unifrac diversity
distances) of different subjects of male and female was
studied at the phylum (Appendix 14), class (Appendix15),
order (Appendix 16), family (Appendix 17), genus (Appendix
18) and species levels (Appendix 19). Weighted Unifrac di-
versity distances showed diversity in different microbiome
signatures. Four phyla, four classes, seven orders, 10 fami-
lies, 10 genera, and two species showed diversity in micro-
biomes of male and female (Appendix 14-19, respectively).
The four phyla included Actinobacteria,Bacteroidetes,Firmi-
cutes, and Proteobacteria (Appendix 14). The four classes
included Actinobacteria, Alphaproteobacteria, Bacilli, and
Gammaproteobacteria (Appendix 15).
The seven orders consisted of Actinomycetales,Bacil-
lales,Enterobacteriales,Lactobacillales,Pseudomonadales,
Rhizobiales, and Rhodospirillales (Appendix 16). The 10
families included Acetobacteraceae,Bacillaceae,Corynebac-
teriaceae,Enterobacteriaceae,Enterococcaceae,Microbacte-
riaceae,Moraxellaceae,Pseudomonadaceae,Rhizobiaceae,
and Staphylococcaceae (Appendix 17). The 10 genera in-
cluded Acinetobacter,Agrobacterium,Bacillus,Corynebac-
terium,Curtobacterium,Enterococcus,Erwinia,Pseudomonas,
Roseomonas, and Staphylococcus. (Appendix 18). The
two species included Bacilluscereus and Roseomonasmucosa
(Appendix 19). Highly abundant OTUs (15 OTUs with 10
reads) that appeared in all, or in at least three, subjects in-
dicated dramatic difference between sexes. The 15 OTUs
2 Jundishapur J Microbiol. 2021; 14(2):e113355.
Uncorrected Proof
AlQattan H et al.
Table1. Statistics of Data Generated from Deep Sequencing for Eight Saudi Individuals. M = Male, F = Female.
Sample ID Reads Length (Bp) RawData (Mbp) N Base (%) LowQuality (%) CleanData (Mbp) Data Utilization (%) Raw Reads Clean Reads Read Utilization (%)
M1 297:297 53.65 0.049 1.966 51.51 96.02 90,315 87,239 96.59
M2 298:297 53.71 0.047 1.713 51.74 96.34 90,266 87,448 96.88
M3 294:297 54.52 0.051 1.823 52.46 96.22 92,256 89,228 96.72
M4 299:297 53.89 0.071 2.011 51.62 95.78 90,425 87,122 96.35
F1 300:297 53.27 0.087 1.627 51.38 96.45 89,235 86,529 96.97
F2 296:297 54.33 0.041 1.911 52.26 96.19 91,616 88,602 96.71
F3 297:300 54.50 0.067 2.373 51.62 94.72 91,285 87,485 95.84
F4 300:297 53.68 0.076 2.044 51.46 95.87 89,911 86,656 96.38
Actinobacteria
Bacteroidetes
Firmicutes
Proteobacteria
Capnocytophage
Agrobacterium
Sphingomonas
Roseomonas
Pseudomonas
Acinetobacter
Erwinia
Bacilus
Enterococcus
Lactobacillus
Staphylococcus
Propionibacterium
Corynebacterium
Micrococcus
Gardnerella
Kocuria
Curtobacterium
Figure 1. Genus level phylogenetic tree of normal skin microbiome. Genera with the same color belong to the same phylum.
referred to either genera or species of which Staphylococ-
cus (spp.1 and spp.2), Erwiniaspp.1, Pseudomonasspp.1, Sphin-
gomonas spp.1, Corynebacterium spp.2, Propionibacterium ac-
nes,Kocuriapalustris were higher in males (Figure 2), while
Bacilluscereus,Bacillus spp.1, Erwiniaspp.2, Corynebacterium
(spp.1 & spp.3), Micrococcusspp.1, Pseudomonasspp.2 were
lower in males (Figure 2).
Jundishapur J Microbiol. 2021; 14(2):e113355. 3
Uncorrected Proof
AlQattan H et al.
Microbe
Microbe
Abundance
AM
F
B
Staphylococcus spp.1
Staphylococcus spp.2
Erwinia spp.1
Pseudomonas spp.1
Sphingomonas spp.1
Corynebacterium spp.2
Propionibacterium Acnes
Kocuria Palustris
100000
100000
10000
1000
100
10
1
0.1
10000
1000
100
10
1
Bacillus Cereus
Bacillus spp.1
Erwinia spp.2
Corynebacterium spp.1
Corynebacterium spp.3
Micrococcus sPP.1
Pseudomonas spp.2
Abundance
M
F
Figure 2. High (a) and low (b) microbe abundance in male versus female skin microbiome of Saudi individuals. M = male, F = female.
5. Discussion
In the present study, healthy skin microbiome of Saudi
residents indicated the presence of as little as six, out of
28 OTUs that were detected at species level. They refer
to genera Bacillus (e.g., B. cereus), Roseomonas (e.g., P. mu-
cosa), Kocuria (e.g., K. palustris), Propionibacterium (e.g., P.
acnes), Pseudomonas (e.g., P. mendocina), and Corynebac-
terium (e.g., C.kroppenstedtii), respectively. These six gen-
era belong to phyla Firmicutes (e.g., Bacillus), Proteobacte-
ria (e.g., Roseomonas and Pseudomonas), and Actinobacte-
ria (e.g., Propionibacterium,Kocuria, and Corynebacterium).
There is one OTU (e.g., OTU26) that was detected only at
family level, e.g., Mogibacteriaceae (Appendix 23). This fam-
ily is part of phylum Firmicutes.
The other 21 OTUs refer to unassigned species of gen-
era Staphylococcus (Staphylococcus spp.1 and spp.2), Bacillus
(Bacillus spp.1), Enterococcus (Enterococcus spp.1), and Lacto-
bacillus (Lactobacillus spp.1) of phylum Firmicutes,Agrobac-
terium (Agrobacterium spp.1), Sphingomonas (Sphingomonas
spp.1), Erwinia (e.g., Erwinia spp.1 and spp.2), Pseudomonas
(Pseudomonas spp.1 and spp.2), and Acinetobacter (Acine-
tobacter spp.1) of phylum Proteobacteria,Curtobacterium
(Curtobacterium spp.1), Corynebacterium (Corynebacterium
4 Jundishapur J Microbiol. 2021; 14(2):e113355.
Uncorrected Proof
AlQattan H et al.
spp.1, spp.2, spp.3, spp.4 and spp.5), Micrococcus (Micrococ-
cus spp.1), Gardnerella (Gardnerella spp.1) of phylum Acti-
nobacteria, and Capnocytophaga (Capnocytophaga spp.1)
of phylum Bacteroidetes (Appendix 23).
5.1. Race-specific Healthy Skin Microbiome Signatures
Consistent with Kim et al. (8), healthy skin micro-
biome in several populations at phylum level are Fir-
micutes,Actinobacteria, Proteobacteria, and Bacteroidetes.
However, our results demonstrated the occurrence of the
first three phyla, e.g., Firmicutes (342,875 reads), Actinobacte-
ria (58,322 reads), Proteobacteria (234,757 reads), while low
prevalence of Bacteroidetes (2 reads) in healthy skin micro-
biomes of individuals living in Saudi Arabia (Appendix 23).
Results of several other studies (9) align with these of the
present study in terms of abundance at the phylum level.
Silva et al. (10) also reported an increased level of Firmi-
cutes in healthy skin of different populations. These re-
sults align with those of the present study (Appendix 23).
Meisel et al. (11) showed that S. epidermidis and S. homi-
nis were prevalent for Staphylococcus. Our results align
with those of Kim et al. (8) referring to genus Propioni-
bacterium, while showed no existence of the two Staphy-
lococci species. Interestingly, our results indicated the oc-
currence of two new unassigned species of Staphylococ-
cus (Appendix 23). The two new species of Staphylococcus
might have the same action of the two-missing species in
microbiome signature of Saudi individuals.
5.2. Healthy Skin Microbiome and Gender
We suggest that differential abundance of microbes
due to gender represents extra environmental factors,
influencing such differences in microbiome signa-
ture. Previous studies indicated that Propionibacterium,
Corynebacterium, and Staphylococcus were more abundant
in males (12), while Enterobacteriales,Moraxellaceae,Lacto-
bacillaceae, and Pseudomonadaceae (according to Fierer et
al.) (13), and Lactobacillus,Enhydrobacter and Deinococcus
(According to Ling et al.) (12) were higher in females.
As women use cosmetics more frequently than men (in
accordance with Fierer et al.) (13), thereby altering the
microbial community structure and diversity of their
skin may definitely affect microbe richness and relative
abundance compared to men.
In the present study, relative abundances of assigned
species of genera Propionibacterium (e.g., Propionibac-
teriumacnes) and Kocuria (e.g., Kocuriapalustris) and
unassigned species of genera Staphylococcus,Erwinia,
Pseudomonas,Sphingomonas, and Corynebacterium are
higher in male microbiome, while relative abundances of
assigned (e.g., Bacillus cereus), and unassigned species of
genus Bacillus and unassigned species of genera Erwinia,
Corynebacterium,Micrococcus,Pseudomonas are lower in
male microbiome (Appendix 22 and Figure 2). The results
of Staphylococcus and Propionibacterium abundances in
the present study are in agreement with those of Ling et
al. (12) and Fierer et al. (13).
5.3. Conclusions
Overall, the study highlights skin microbiome signa-
ture of individuals in Saudi Arabia. This information will
be helpful when studying skin microbiomes of patients
with atopic dermatitis (AD), Psoriasis, or Acnevulgaris to-
ward the detection of biomarkers of the different diseases.
Supplementary Material
Supplementary material(s) is available here [To read
supplementary materials, please refer to the journal web-
site and open PDF/HTML].
Acknowledgments
Authors thank authorities at the Department of Biolog-
ical Sciences, Faculty of Science, King Abdulaziz University,
Jeddah, Saudi Arabia, for providing facilities and equip-
ment to do this research.
Footnotes
Authors’ Contribution: Conceptualization: HA, SE, AB,
SZ, RAH, Data collection: AH, LT, AA, RA, Methodology: AH,
SE, LT, RA, AM, SZ, Writing the manuscript: HA, AA, AB, RAH,
Review, editing, and correspondence: AA, AB.
Conflict of Interests: The authors declare no conflict of
interest.
Ethical Approval: Ethical approval to conduct skin micro-
biome analysis was obtained from the Ethics Committee
of King Abdulaziz University Hospital (KAUH), Saudi Arabia
(ref. no. 165-18).
Funding/Support: Not applicable.
Informed Consent: A consent form was prepared
and signed by volunteers or participants whose inclu-
sion/exclusion criteria were applied.
Jundishapur J Microbiol. 2021; 14(2):e113355. 5
Uncorrected Proof
AlQattan H et al.
References
1. Li H. The human skin microbiome in health and skin diseases. Metage-
nomics of the Human Body. 2011. p. 145–63.
2. Grice EA, Segre JA. The skin microbiome. Nat Rev Microbiol.
2011;9(4):244–53. doi: 10.1038/nrmicro2537. [PubMed: 21407241].
[PubMed Central: PMC3535073].
3. Scharschmidt TC, Fischbach MA. What lives on our skin: Ecology, ge-
nomics and therapeutic opportunities of the skin microbiome. Drug
Discov Today Dis Mech. 2013;10(3-4). doi: 10.1016/j.ddmec.2012.12.003.
[PubMed: 24273587]. [PubMed Central: PMC3833721].
4. Nih Hmp Working Group, Peterson J, Garges S, Giovanni M, McInnes
P, Wang L, et al. The NIH human microbiome project. Genome Res.
2009;19(12):2317–23. doi: 10.1101/gr.096651.109. [PubMed: 19819907].
[PubMed Central: PMC2792171].
5. Lloyd-Price J, Abu-Ali G, Huttenhower C. The healthy human mi-
crobiome. Genome Med. 2016;8(1):51. doi: 10.1186/s13073-016-0307-y.
[PubMed: 27122046]. [PubMed Central: PMC4848870].
6. Russo E, Taddei A, Ringressi MN, Ricci F, Amedei A. The interplay
between the microbiome and the adaptive immune response in
cancer development. Therap Adv Gastroenterol. 2016;9(4):594–605.
doi: 10.1177/1756283X16635082. [PubMed: 27366226]. [PubMed Central:
PMC4913328].
7. Abuljadayel D, Atef A, Al-Matary M, Edris S, Al-Quwaie DAH, Alsubhi
NH, et al. Detection of a negative biomarker for amebiasis (enta-
moeba histolytica) in the human gut mycobiome. Applied Ecology and
Environmental Research. 2020;18(2):2363–94. doi: 10.15666/aeer/1802_-
23632394.
8. Kim HJ, Kim H, Kim JJ, Myeong NR, Kim T, Park T, et al. Fragile skin
microbiomes in megacities are assembled by a predominantly niche-
based process. Sci Adv. 2018;4(3). e1701581. doi: 10.1126/sciadv.1701581.
[PubMed: 29532031]. [PubMed Central: PMC5842045].
9. Balato A, Cacciapuoti S, Di Caprio R, Marasca C, Masara A, Raimondo
A, et al. Human Microbiome: Composition and Role in Inflamma-
tory Skin Diseases. Arch Immunol Ther Exp (Warsz). 2019;67(1):1–18. doi:
10.1007/s00005-018-0528-4. [PubMed: 30302512].
10. Silva PE, Reis MP, Ávila MP, Dias MF, Costa PS, Suhadolnik ML, et al. In-
sights into the skin microbiome dynamics of leprosy patients during
multi-drug therapy and in healthy individuals from Brazil. Scientific
Reports. 2018;8(1). doi: 10.1038/s41598-018-27074-0.
11. Meisel JS, Hannigan GD, Tyldsley AS, SanMiguel AJ, Hodkinson
BP, Zheng Q, et al. Skin Microbiome Surveys Are Strongly Influ-
enced by Experimental Design. J Invest Dermatol. 2016;136(5):947–56.
doi: 10.1016/j.jid.2016.01.016. [PubMed: 26829039]. [PubMed Central:
PMC4842136].
12. Ling Z, Liu X, Luo Y, Yuan L, Nelson KE, Wang Y, et al. Pyrosequenc-
ing analysis of the human microbiota of healthy Chinese under-
graduates. BMC Genomics. 2013;14:390. doi: 10.1186/1471-2164-14-390.
[PubMed: 23758874]. [PubMed Central: PMC3685588].
13. Fierer N, Hamady M, Lauber CL, Knight R. The influence of
sex, handedness, and washing on the diversity of hand sur-
face bacteria. Proc Natl Acad Sci U S A. 2008;105(46):17994–9. doi:
10.1073/pnas.0807920105. [PubMed: 19004758]. [PubMed Central:
PMC2584711].
6 Jundishapur J Microbiol. 2021; 14(2):e113355.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Amebiasis caused by Entamoeba histolytica parasite is among the worst gut diseases worldwide. The study involved detection of gut mycobiome signature of the infected subjects in a trial to improve ability to diagnose and treat this disease. The results indicated that diversity of samples slightly changed due to infection. Dendrogram indicated that the most common phyla in the human gut are Ascomycota, Basidiomycota and Zygomycota. Species Pichia kudriavzevii, Candida glabrata, Saccharomyces cerevisiae of phylum Ascomycota and Rhodotorula mucilaginosa of phylum Basidiomycota were found highly OTU abundant. Weighted unifrac diversity distances resulted in complete separation of the two groups. Differential abundance analysis indicated that four phyla, six families, nine genera and ten species showed considerable changes in gut mycobiome signatures within and among groups. Unclassified species of genus Malassezia (phylum Basidiomycota) showed high abundance in infected subjects as compared to healthy subjects, while families Saccharomycetaceae and Trichocomaceae, genus Saccharomyces and species S. cerevisiae showed opposite results. Linear discriminant analysis effect size (LEFSE) indicated that family Saccharomycetaceae, of which S. cerevisiae is a downstream taxon, can be a negative biomarker for amebiasis. In conclusion, the study provides new insights into possible use of Saccharomyces as a probiotic against amebiasis.
Article
Full-text available
This review focuses on recent evidences about human microbiome composition and functions, exploring the potential implication of its impairment in some diffuse and invalidating inflammatory skin diseases, such as atopic dermatitis, psoriasis, hidradenitis suppurativa and acne. We analysed current scientific literature, focusing on the current evidences about gut and skin microbiome composition and the complex dialogue between microbes and the host. Finally, we examined the consequences of this dialogue for health and skin diseases. This review highlights how human microbes interact with different anatomic niches modifying the state of immune activation, skin barrier status, microbe–host and microbe–microbe interactions. It also shows as most of the factors affecting gut and skin microorganisms’ activity have demonstrated to be effective also in modulating chronic inflammatory skin diseases. More and more evidences demonstrate that human microbiome plays a key role in human health and diseases. It is to be expected that these new insights will translate into diagnostic, therapeutic and preventive measures in the context of personalized/precision medicine.
Article
Full-text available
Leprosy is a chronic infectious peripheral neuropathy that is caused by Mycobacterium leprae, and the skin is one of its preferred target sites. However, the effects of this infection on the skin microbiome remain largely unexplored. Here, we characterize and compare the lesional and non-lesional skin microbiomes of leprosy patients and healthy individuals through the deep sequencing of 16 S rRNA genes. Additionally, a subset of patients was monitored throughout the multi-drug therapy to investigate its effect on the leprous skin microbiome. Firmicutes-associated OTUs (primarily Staphylococcus) prevailed in healthy individuals. By contrast, Firmicutes was underrepresented and Proteobacteria was enriched in the patients' skin, although a single dominant taxon has not been observed at a finer taxonomic resolution. These differences can be explained by the significant decrease in Staphylococcus and Streptococcus as well as the enrichment in Brevundimonas. The overrepresentation of Micrococcus in patients is also remarkable. Genus-level compositional profiles revealed no significant intrapersonal difference between lesional and non-lesional sites. Treatment-associated changes indicated a loss of diversity and a shift in the community composition, with stronger impacts on the OTUs that are considered indigenous bacteria. Therefore, the molecular signatures associated with leprosy identified herein might be of importance for early diagnostics.
Article
Full-text available
Given the higher incidence of skin diseases in more urbanized populations and its association with the skin microbiome, we questioned how the skin microbiome differed depending on the degree of urbanization. Skin microbiomes of 231 healthy subjects in five large cities in China varied mainly with environment and socioeconomic status of the cities in question. The differences among microbiomes could be explained by the predominantly niche-based assembly of microbial communities, which was supported by a dominance test, β-null deviation, and edge-length abundance distribution. Networks among microbes in larger cities were more fragile, which may contribute to the higher incidence of skin diseases in more urbanized environments. These results suggest that microbial ecological theory can provide a framework for understanding crucial health-associated features of the human microbiome.
Article
Full-text available
Humans are virtually identical in their genetic makeup, yet the small differences in our DNA give rise to tremendous phenotypic diversity across the human population. By contrast, the metagenome of the human microbiome-the total DNA content of microbes inhabiting our bodies-is quite a bit more variable, with only a third of its constituent genes found in a majority of healthy individuals. Understanding this variability in the "healthy microbiome" has thus been a major challenge in microbiome research, dating back at least to the 1960s, continuing through the Human Microbiome Project and beyond. Cataloguing the necessary and sufficient sets of microbiome features that support health, and the normal ranges of these features in healthy populations, is an essential first step to identifying and correcting microbial configurations that are implicated in disease. Toward this goal, several population-scale studies have documented the ranges and diversity of both taxonomic compositions and functional potentials normally observed in the microbiomes of healthy populations, along with possible driving factors such as geography, diet, and lifestyle. Here, we review several definitions of a 'healthy microbiome' that have emerged, the current understanding of the ranges of healthy microbial diversity, and gaps such as the characterization of molecular function and the development of ecological therapies to be addressed in the future.
Article
Full-text available
The data from different studies suggest a bacterial role in cancer genesis/progression, often modulating the local immune response. This is particularly so at the mucosal level where the bacterial presence is strong and the immune system is highly reactive. The epithelial surfaces of the body, such as the skin and mucosa, are colonized by a vast number of microorganisms, which represent the so-called normal microbiome. Normally the microbiome does not cause a proinflammatory response because the immune system has developed different strategies for the tolerance of commensal bacteria, but when these mechanisms are impaired or new pathogenic bacteria are introduced into this balanced system, the immune system reacts to the microbiome and can trigger tumor growth in the intestine. In this review, we discuss the potential role of the bacterial microbiome in carcinogenesis, focusing on the direct and indirect immune adaptive mechanisms, that the bacteria can modulate in different ways.
Article
Full-text available
Elucidating the biogeography of bacterial communities on the human body is critical for establishing healthy baselines from which to detect differences associated with disease; however, little is known about the baseline bacterial profiles from various human habitats of healthy Chinese undergraduates. Using parallel barcoded 454 pyrosequencing targeting on the 16S rRNA gene V3 region, the bacterial diversity of the nasopharynx, saliva, dominant hands, and feces were investigated from 10 healthy Chinese junior boarding undergraduates at Zhejiang University. The participants were 21–24 years of age with a body mass index (BMI) < 24 kg/m2. A total of 156,717 high-quality pyrosequencing reads were obtained for evaluating bacterial diversity, which represented 29,887 unique phylotypes. The overall taxonomic distribution of the 16S rRNA gene-based amplicons demonstrated that these 4 habitats of the human body harbored distinct microbiota and could be divided into different clusters according to anatomic site, while the established patterns of bacterial diversity followed the human body habitat (feces, hands, saliva, and nasopharynx). Although significant inter-individual variation was observed, the healthy microbiota still shared a large number of phylotypes in each habitat, but not among the four habitats, indicating that a core microbiome existed in each healthy habitat. The vast majority of sequences from these different habitats were classified into different taxonmies that became the predominant bacteria of the healthy microbiota. We first established the framework of microbial communities from four healthy human habitats of the same participants with similar living environments for the Chinese undergraduates. Our data represent an important step for determining the diversity of Chinese healthy microbiota, and can be used for more large-scale studies that focus on the interactions between healthy and diseases states for young Chinese adults in the same age range.
Article
Culture-independent studies to characterize skin microbiota are increasingly common, due in part to affordable and accessible sequencing and analysis platforms. Compared to culture-based techniques, DNA sequencing of the bacterial 16S ribosomal RNA (rRNA) gene or whole metagenome shotgun (WMS) sequencing provide more precise microbial community characterizations. Most widely used protocols were developed to characterize microbiota of other habitats (i.e. gastrointestinal), and have not been systematically compared for their utility in skin microbiome surveys. Here we establish a resource for the cutaneous research community to guide experimental design in characterizing skin microbiota. We compare two widely sequenced regions of the 16S rRNA gene to WMS sequencing for recapitulating skin microbiome community composition, diversity, and genetic functional enrichment. We show that WMS sequencing most accurately recapitulates microbial communities, but sequencing of hypervariable regions 1-3 of the 16S rRNA gene provides highly similar results. Sequencing of hypervariable region 4 poorly captures skin commensal microbiota, especially Propionibacterium. WMS sequencing, which is resource- and cost-intensive, provides evidence of a community’s functional potential; however, metagenome predictions based on 16S rRNA sequence tags closely approximate WMS genetic functional profiles. This work highlights the importance of experimental design for downstream results in skin microbiome surveys.
Article
Our skin is home to a rich community of microorganisms. Recent advances in sequencing technology have allowed more accurate enumeration of these human-associated microbiota and investigation of their genomic content. Staphylococcus, Corynebacterium and Propionibacterium represent the dominant bacterial genera on skin and illustrate how bacteria adapt to life in this harsh environment and also provide us with unique benefits. In healthy states, our skin peacefully co-exists with commensal bacteria while fending off potentially dangerous invaders. Disruption of this equilibrium, termed "dysbiosis", can result from changes in the composition of our skin bacteria, an altered immune response to them, or both and may be a driving factor in certain types of inflammatory skin disease. Engineering topical therapeutics to favourably influence the composition of our skin flora and optimize interactions with them represents a real therapeutic opportunity for the field of dermatology and warrants additional investigation into skin microbial ecology and disease mechanisms related to host-microbe dysbiosis.
Chapter
The human skin, as the largest organ of the human body, protects the underlying tissues and plays an important role as a front-line defense system against external environmental changes and invading pathogens. It is colonized by a unique and complex microbial ecosystem, including bacteria, fungi, and bacteriophages, some of which could become pathogenic under certain circumstances. The skin microbiota is complex. Several hundred different microbial species reside on the skin. Its composition and distribution are uniquely different from the flora of other organs.