scholarly journals Cutibacterium acnes (Propionibacterium acnes) 16S rRNA Genotyping of Microbial Samples from Possessions Contributes to Owner Identification

mSystems ◽  
2019 ◽  
Vol 4 (6) ◽  
Author(s):  
Jiayue Yang ◽  
Tomoya Tsukimi ◽  
Mia Yoshikawa ◽  
Kenta Suzuki ◽  
Tomoki Takeda ◽  
...  
Keyword(s):  
16S Rrna ◽  
Human Skin ◽  
Rrna Gene ◽  
Skin Microbiome ◽  
Nucleotide Polymorphisms ◽  
Skin Microbiota ◽  
Content Type ◽  
Microbiome Profile ◽  
Cutibacterium Acnes ◽  
Genotype Composition

ABSTRACT The human skin surface harbors huge numbers of microbes. The skin microbiota interacts with its host and forms a skin microbiome profile that is specific for each individual. It has been reported that the skin microbiota that is left on an individual’s possessions can act as a sort of “fingerprint” and be used for owner identification. However, this approach needs to be improved to take into account any long-term instability of skin microbiota and contamination from nonspecific bacteria. Here, we took advantage of single-nucleotide polymorphisms (SNPs) in the 16S-encoding rRNA gene of Cutibacterium acnes, the most common and abundant bacterium on human skin, to perform owner identification. We first developed a high-throughput genotyping method based on next-generation sequencing to characterize the SNPs of the C. acnes 16S rRNA gene and found that the genotype composition of C. acnes 16S rRNA is individual specific. Owner identification accuracy of around 90% based on random forest machine learning was achieved by using a combination of C. acnes 16S rRNA genotype and skin microbiome profile data. Furthermore, our study showed that the C. acnes 16S rRNA genotype remained more stable over time than the skin microbiome profile. This characteristic of C. acnes was further confirmed by the analysis of publicly available human skin metagenome data. Our approach, with its high precision, good reproducibility, and low costs, thus provides new possibilities in the field of microbiome-based owner identification and forensics in general. IMPORTANCE Cutibacterium acnes is the most common and abundant bacterial species on human skin, and the gene that encodes its 16S rRNA has multiple single-nucleotide polymorphisms. In this study, we developed a method to efficiently determine the C. acnes 16S rRNA genotype composition from microbial samples taken from the hands of participants and from their possessions. Using the C. acnes 16S rRNA genotype composition, we could predict the owner of a possession with around 90% accuracy when the 16S rRNA gene-based microbiome profile was included. We also showed that the C. acnes 16S rRNA genotype composition was more stable over time than the skin microbiome profile and thus is more suitable for owner identification.

scholarly journals Rhodomyrtus tomentosa Fruit Extract and Skin Microbiota: A Focus on C. acnes Phylotypes in Acne Subjects

Cosmetics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 53 ◽  
Author(s):  
Sandie Gervason ◽  
Isabelle Metton ◽  
Elodie Gemrot ◽  
Edwige Ranouille ◽  
Gilbert Skorski ◽  
...  
Keyword(s):  
Active Ingredient ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Skin Microbiome ◽  
Skin Microbiota ◽  
Cutibacterium Acnes ◽  
Culture Independent ◽  
Rrna Gene Sequencing ◽  
Abundant Genus ◽  
Rhodomyrtus Tomentosa

Knowing that Rhodomyrtus tomentosa is known to have antibacterial effects, this study investigated the skin microbiota with a focus on Cutibacterium acnes (C. acnes) phylotypes in subjects with acne, and determined microbiota changes after 28 days of treatment with berries Rhodomyrtus tomentosa as an active ingredient (RT). Skin swabs from seventeen acne subjects were collected and the skin microbiome was analyzed using 16S rRNA gene sequencing. A culture-independent next-generation sequencing (NGS)-based SLST (single-locus sequence typing) approach was aimed at evaluating RT extract effects on C. acnes phylotype repartition. Clinical evaluations (lesion counts) were performed at baseline (D0) and after 28 days (D28) of twice-daily application of the RT active ingredient. We determined: (1) the skin microbiota at D0 was dominated by Actinobacteria followed by Firmicutes and Proteobacteria; (2) at the genus level, Cutibacterium was the most abundant genus followed by Staphylococcus and Corynebacterium; (3) C. acnes was the major species in terms of mean abundance, followed by Staphylococcus epidermidis (S. epidermidis) and Staphylococcus hominis (S. hominis); and (4) phylotype IA1 was most represented, with a predominance of SLST type A1, followed by phylotypes II, IB, IA2, IC, and III. After 28 days of RT extract treatment, phylotype repartition were modified with a decrease in abundance (approximately 4%) of phylotype IA1 and an increase in phylotype II and III. Cutibacterium granulosum (C. granulosum) abundance also decreased. Reduction of retentional and inflammatory lesions was also noted only after RT treatment; thus, RT extract acts as a microbiota-regulating agent.

scholarly journals Cutibacterium modestum and “Propionibacterium humerusii” represent the same species that is commonly misidentified as Cutibacterium acnes

2021 ◽  
Author(s):  
Daniel Goldenberger ◽  
Kirstine K. Søgaard ◽  
Aline Cuénod ◽  
Helena Seth-Smith ◽  
Daniel de Menezes ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Reference Sequence ◽  
Rrna Gene ◽  
Correct Identification ◽  
Skin Microbiome ◽  
Isolation And Identification ◽  
Important Species ◽  
Cutibacterium Acnes ◽  
The 16S Rrna Gene

AbstractCutibacterium spp. play an increasing role in soft tissue and implant-associated infections. We isolated a novel Cutibacterium spp. from an implant and investigated this isolate using multiple identification approaches. Correct identification was hampered by inconsistent reference data. The isolate was characterised using conventional methods such as Gram stain, MALDI-TOF MS, and antimicrobial susceptibility testing against multiple antimicrobials. Partial 16S rRNA gene sequencing and whole genome sequencing were also performed. In addition, we summarised the available published sequence data and compared prior data to our strain. Conventional phenotypic identification of our isolate resulted in Cutibacterium spp. After analysis of 16S rRNA gene and genome sequences, our isolate was identified as C. modestum, a very recently described species. The 16S rRNA gene analysis was hampered by three incorrect nucleotides within the 16S rRNA gene reference sequence of C. modestum M12T (accession no. LC466959). We also clearly demonstrate that this novel species is identical to tentatively named “Propionibacterium humerusii”. Retrospective data analysis indicates that C. modestum is a clinically important Cutibacterium species often misidentified as C. acnes. The isolation and identification of Cutibacterium spp. is still a challenge. The correct description of very recently named C. modestum and the availability of a correct 16S rRNA sequence of the type strain may help to clarify the taxonomical uncertainty concerning “P. humerusii”. The novel C. modestum is an additional, clinically important species within the genus Cutibacterium and may represent a new member of the human skin microbiome.

scholarly journals Effects of sampling strategy and DNA extraction on human skin microbiome investigations

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Rie Dybboe Bjerre ◽  
Luisa Warchavchik Hugerth ◽  
Fredrik Boulund ◽  
Maike Seifert ◽  
Jeanne Duus Johansen ◽  
...  
Keyword(s):  
16S Rrna ◽  
Dna Extraction ◽  
Human Skin ◽  
Alpha Diversity ◽  
Sampling Strategy ◽  
Sampling Technique ◽  
Rrna Gene ◽  
Skin Microbiome ◽  
Library Preparation ◽  
Reliable Technique

AbstractThe human skin is colonized by a wide array of microorganisms playing a role in skin disorders. Studying the skin microbiome provides unique obstacles such as low microbial biomass. The objective of this study was to establish methodology for skin microbiome analyses, focusing on sampling technique and DNA extraction. Skin swabs and scrapes were collected from 9 healthy adult subjects, and DNA extracted using 12 commercial kits. All 165 samples were sequenced using the 16S rRNA gene. Comparing the populations captured by eSwabs and scrapes, 99.3% of sequences overlapped. Using eSwabs yielded higher consistency. The success rate of library preparation applying different DNA extraction kits ranged from 39% to 100%. Some kits had higher Shannon alpha-diversity. Metagenomic shotgun analyses were performed on a subset of samples (N = 12). These data indicate that a reduction of human DNA from 90% to 57% is feasible without lowering the success of 16S rRNA library preparation and without introducing taxonomic bias. Using swabs is a reliable technique to investigate the skin microbiome. DNA extraction methodology is crucial for success of sequencing and adds a substantial amount of variation in microbiome analyses. Reduction of host DNA is recommended for interventional studies applying metagenomics.

scholarly journals Comprehensive skin microbiome analysis reveals the uniqueness of human-associated microbial communities among the class Mammalia

2017 ◽  
Author(s):  
Ashley A. Ross ◽  
Kirsten Müller ◽  
J. Scott Weese ◽  
Josh D. Neufeld
Keyword(s):  
Human Skin ◽  
External Environment ◽  
Geographic Location ◽  
The Body ◽  
Conservation Strategies ◽  
Body Region ◽  
Rrna Gene ◽  
Skin Microbiome ◽  
Skin Microbiota ◽  
Mammalian Skin

AbstractSkin is the largest organ of the body and represents the primary physical barrier between mammals and their external environment. The objective of this research was to generate a skin microbiota baseline for members of the class Mammalia, testing the effects of host species, geographic location, body region, and biological sex. The back, torso, and inner thigh regions of 177 non-human mammals were collected to include representatives from 38 species and 10 mammalian orders. Animals were collected from local farms, zoos, households, and the wild. All samples were amplified using the V3-V4 16S rRNA gene region and sequenced using a MiSeq (Illumina). For reference, previously published skin microbiome data from 20 human participants, sampled using an identical protocol to the non-human mammals, were included in the analysis. Human skin was significantly less diverse than all other mammalian orders and the factor most strongly associated with community variation for all samples was whether the host was a human. Within non-human samples, host taxonomic order was the most significant factor influencing the skin community, followed by the geographic location of the habitat. By comparing the congruence between known host phylogeny and microbial community dendrograms, we observed that Artiodactyla (even-toed ungulates) and Perissodactyla (odd-toed ungulates) had significant congruence, providing first evidence of phylosymbiosis between skin communities and their hosts.SignificanceSkin forms a critical protective barrier between a mammal and its external environment. Baseline data on the mammalian skin microbiome is crucial for making informed decisions related to veterinary research and biodiversity conservation strategies, in addition to providing insight into mammalian evolutionary history. To our knowledge, this study represents the largest mammalian skin microbiota project to date. These findings demonstrate that human skin is distinct, not only from other Primates, but from all 10 mammalian orders sampled. Using phylosymbiosis analysis, we provide the first evidence that co-evolution may be occurring between skin communities and their mammalian hosts, which warrants more in-depth future studies of the relationships between mammals and their skin microbiota.

scholarly journals Amplicon-based skin microbiome profiles collected by tape stripping with different adhesive film dressings: a comparative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kazuhiro Ogai ◽  
Kana Shibata ◽  
Natsuki Takahashi ◽  
Kohei Ogura ◽  
Shigefumi Okamoto ◽  
...  
Keyword(s):  
16S Rrna ◽  
Copy Number ◽  
Diversity Indices ◽  
Adhesive Force ◽  
Tape Stripping ◽  
Rrna Gene ◽  
Skin Microbiome ◽  
Skin Microbiota ◽  
Silicone Adhesive ◽  
The 16S Rrna Gene

Abstract Background Medical film dressings have been used to obtain skin microbiota for skin microbiome studies, although their adhesive force may be so strong that the skin could be injured when applied to those who have fragile skin, such as older people. Several products with less adhesive force are available, although their applicability for skin microbiome studies remains unknown. This study aimed to test whether the dressings with less adhesive force could be used for amplicon-based skin microbiome studies. A set of three different film dressings, with acrylic, urethane, or silicone adhesive, was applied to the back skin of nine healthy young participants. The copy number of the 16S ribosomal RNA (rRNA) gene, microbial compositions, and alpha and beta diversity indices were analyzed by amplicon analysis of the 16S rRNA gene using next-generation sequencing and were compared among the three film dressings. Results The dressing with acrylic adhesive yielded the highest copy number of 16S rRNA genes, followed by that with urethane adhesive. The silicone-adhesive dressing yielded a significantly lower copy number of the 16S rRNA gene. The microbial composition of skin microbiota was similar among the three film dressings, although significant differences in the relative abundance of Pseudomonas species and alpha diversity indices were found in the silicone-adhesive dressing. The Bray–Curtis dissimilarity was significantly higher between the acrylic- and silicone-adhesive dressings than between the acrylic- and urethane-adhesive dressings. No adverse effects related to tape stripping were observed for any of the film dressings. Conclusion We recommend dressings with acrylic or urethane adhesive for amplicon-based skin microbiome studies. An acrylic adhesive has an advantage in the yield of skin microbiota, and a urethane adhesive should be chosen when applied to fragile skin. The adhesive force of the dressing with silicone adhesive was too weak to be used for collecting skin microbiota.

scholarly journals The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection

mBio ◽  
2015 ◽  
Vol 6 (5) ◽  
Author(s):  
Julia J. van Rensburg ◽  
Huaiying Lin ◽  
Xiang Gao ◽  
Evelyn Toh ◽  
Kate R. Fortney ◽  
...  
Keyword(s):  
Human Skin ◽  
Bacterial Species ◽  
Haemophilus Ducreyi ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Multiple Time ◽  
Skin Microbiome ◽  
Skin Microbiota ◽  
Content Type ◽  
Curtis Dissimilarity

ABSTRACTThe influence of the skin microbiota on host susceptibility to infectious agents is largely unexplored. The skin harbors diverse bacterial species that may promote or antagonize the growth of an invading pathogen. We developed a human infection model forHaemophilus ducreyiin which human volunteers are inoculated on the upper arm. After inoculation, papules form and either spontaneously resolve or progress to pustules. To examine the role of the skin microbiota in the outcome ofH. ducreyiinfection, we analyzed the microbiomes of four dose-matched pairs of “resolvers” and “pustule formers” whose inoculation sites were swabbed at multiple time points. Bacteria present on the skin were identified by amplification and pyrosequencing of 16S rRNA genes. Nonmetric multidimensional scaling (NMDS) using Bray-Curtis dissimilarity between the preinfection microbiomes of infected sites showed that sites from the same volunteer clustered together and that pustule formers segregated from resolvers (P= 0.001, permutational multivariate analysis of variance [PERMANOVA]), suggesting that the preinfection microbiomes were associated with outcome. NMDS using Bray-Curtis dissimilarity of the endpoint samples showed that the pustule sites clustered together and were significantly different than the resolved sites (P= 0.001, PERMANOVA), suggesting that the microbiomes at the endpoint differed between the two groups. In addition toH. ducreyi, pustule-forming sites had a greater abundance ofProteobacteria,Bacteroidetes,Micrococcus,Corynebacterium,Paracoccus, andStaphylococcusspecies, whereas resolved sites had higher levels ofActinobacteriaandPropionibacteriumspecies. These results suggest that at baseline, resolvers and pustule formers have distinct skin bacterial communities which change in response to infection and the resultant immune response.IMPORTANCEHuman skin is home to a diverse community of microorganisms, collectively known as the skin microbiome. Some resident bacteria are thought to protect the skin from infection by outcompeting pathogens for resources or by priming the immune system's response to invaders. However, the influence of the skin microbiome on the susceptibility to or protection from infection has not been prospectively evaluated in humans. We characterized the skin microbiome before, during, and after experimental inoculation of the arm withHaemophilus ducreyiin matched volunteers who subsequently resolved the infection or formed abscesses. Our results suggest that the preinfection microbiomes of pustule formers and resolvers have distinct community structures which change in response to the progression ofH. ducreyiinfection to abscess formation.

scholarly journals Nisin J, a Novel Natural Nisin Variant, Is Produced by Staphylococcus capitis Sourced from the Human Skin Microbiota

2019 ◽  
Vol 202 (3) ◽  
Author(s):  
Julie N. O’Sullivan ◽  
Paula M. O’Connor ◽  
Mary C. Rea ◽  
Orla O’Sullivan ◽  
Calum J. Walsh ◽  
...  
Keyword(s):  
Amino Acid ◽  
Human Skin ◽  
Skin Microbiota ◽  
Content Type ◽  
Extra Amino Acid ◽  
Staphylococcus Capitis ◽  
C Terminus ◽  
Wide Range ◽  
Cutibacterium Acnes ◽  
Screening Study

ABSTRACT The skin microbiota is thought to play a key role in host protection from infection. Nisin J is a novel nisin variant produced by Staphylococcus capitis APC 2923, a strain isolated from the toe web space area in a screening study performed on the human skin microbiota. Whole-genome sequencing and mass spectrometry of the purified peptide confirmed that S. capitis APC 2923 produces a 3,458-Da bacteriocin, designated nisin J, which exhibited antimicrobial activity against a range of Gram-positive pathogens, including methicillin-resistant Staphylococcus aureus (MRSA) and Cutibacterium acnes. The gene order in the nisin J gene cluster (nsjFEGBTCJP) differs from that of other nisin variants in that it is lacking the nisin regulatory genes, nisRK, as well as the nisin immunity gene nisI. Nisin J has 9 amino acid changes compared to prototypical nisin A, with 8 amino acid substitutions, 6 of which are not present in other nisin variants (Ile4Lys, Met17Gln, Gly18Thr, Asn20Phe, Met21Ala, Ile30Gly, Val33His, and Lys34Thr), and an extra amino acid close to the C terminus, rendering nisin J the only nisin variant to contain 35 amino acids. This is the first report of a nisin variant produced by a Staphylococcus species and the first nisin producer isolated from human skin. IMPORTANCE This study describes the characterization of nisin J, the first example of a natural nisin variant, produced by a human skin isolate of staphylococcal origin. Nisin J displays inhibitory activity against a wide range of bacterial targets, including MRSA. This work demonstrates the potential of human commensals as a source for novel antimicrobials that could form part of the solution to antibiotic resistance across a broad range of bacterial pathogens.

scholarly journals Phyllobacterium loti sp. nov. isolated from nodules of Lotus corniculatus

2014 ◽  
Vol 64 (Pt_3) ◽  
pp. 781-786 ◽  
Author(s):  
Maximo Sánchez ◽  
Martha-Helena Ramírez-Bahena ◽  
Alvaro Peix ◽  
María J. Lorite ◽  
Juan Sanjuán ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Sequence Similarity ◽  
Carbon Sources ◽  
Lotus Corniculatus ◽  
Culture Conditions ◽  
Rrna Gene ◽  
Content Type ◽  
Link Type ◽  
The 16S Rrna Gene

Strain S658T was isolated from a Lotus corniculatus nodule in a soil sample obtained in Uruguay. Phylogenetic analysis of the 16S rRNA gene and atpD gene showed that this strain clustered within the genus Phyllobacterium . The closest related species was, in both cases, Phyllobacterium trifolii PETP02T with 99.8 % sequence similarity in the 16S rRNA gene and 96.1 % in the atpD gene. The 16S rRNA gene contains an insert at the beginning of the sequence that has no similarities with other inserts present in the same gene in described rhizobial species. Ubiquinone Q-10 was the only quinone detected. Strain S658T differed from its closest relatives through its growth in diverse culture conditions and in the assimilation of several carbon sources. It was not able to reproduce nodules in Lotus corniculatus. The results of DNA–DNA hybridization, phenotypic tests and fatty acid analyses confirmed that this strain should be classified as a representative of a novel species of the genus Phyllobacterium , for which the name Phyllobacterium loti sp. nov. is proposed. The type strain is S658T( = LMG 27289T = CECT 8230T).

scholarly journals Complete Genome Sequence of Malassezia restricta CBS 7877, an Opportunist Pathogen Involved in Dandruff and Seborrheic Dermatitis

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Stanislas C. Morand ◽  
Morgane Bertignac ◽  
Agnes Iltis ◽  
Iris C. R. M. Kolder ◽  
Walter Pirovano ◽  
...  
Keyword(s):  
Human Skin ◽  
Genome Sequence ◽  
Complete Genome Sequence ◽  
Complete Genome ◽  
Seborrheic Dermatitis ◽  
Skin Microbiome ◽  
Basidiomycetous Yeasts ◽  
Content Type ◽  
Opportunist Pathogen ◽  
Malassezia Restricta

Malassezia restricta, one of the predominant basidiomycetous yeasts present on human skin, is involved in scalp disorders. Here, we report the complete genome sequence of the lipophilic Malassezia restricta CBS 7877 strain, which will facilitate the study of the mechanisms underlying its commensal and pathogenic roles within the skin microbiome.

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