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Record W4205167667 · doi:10.1101/2022.01.19.476882

Extended bacterial diversity of the urinary microbiome of reproductive-age healthy European women captured by culturomics and long-read amplicon sequencing

2022· preprint· en· W4205167667 on OpenAlexfundno aff
Svetlana Ugarčina Perović, Magdalena Ksiezarek, Joana Rocha, Elisabete Alves Cappelli, Márcia Sousa, Teresa Gonçalves Ribeiro, Filipa Grosso, Luísa Maria Sobreira Vieira Peixe

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
FundersDirectorate for Biological SciencesRede de Química e TecnologiaJoint Programming Initiative on Antimicrobial ResistanceUniversidade do PortoApplied Molecular Biosciences UnitMinistério da Ciência, Tecnologia e Ensino SuperiorFundação para a Ciência e a TecnologiaInternational Development Research Centre
KeywordsBiologyMicrobiomeLactobacillus crispatusLactobacillusAmpliconGardnerella vaginalisZoologyMetagenomicsMicrobiologyGeneticsPolymerase chain reactionBacteriaGeneBacterial vaginosis

Abstract

fetched live from OpenAlex

Abstract The recognition of microbiome inhabiting the healthy female bladder engendered the need for comprehensive characterization of the female urinary microbiome (FUM) in health and disease. Although previous studies reported FUM composition at different taxonomic levels, progress towards reliable identification at species level is highly required. The aim of this study was to comprehensively characterize bacterial species of FUM of healthy reproductive-age European women by two complementary methodologies i.e., extended culturomics and long-read third generation sequencing of near full-length 16S rRNA gene. A wide diversity of bacterial species was captured (297 species) with a median of 53 species/sample, including 16 putative uropathogens. Clustering FUM into community structure types revealed high inter-individual differences. Notably, there was not a single species common to all samples, although the Lactobacillus genus was detected in all samples. Lactobacillus crispatus , Lactobacillus iners and Lactobacillus mulieris were observed in high relative abundance in several samples as well as other species (e.g., Streptococcus agalactiae , Atopobium vaginae , Gardnerella vaginalis , Gardnerella swidsinskii ), while more prevalent species were often low abundant members (e.g., Finegoldia magna ). We captured remarkable richness within Corynebacterium spp. (25 species) and Lactobacillaceae (4 genera, 14 species). While amplicon sequencing allowed detection of more anaerobic species (e.g., 11 Peptoniphilus spp.), culturomics enabled the identification of recently recognized Gardnerella species and putative novel Corynebacterium species. This study provided fine-grained FUM profiling at species level and revealed detailed FUM structure, which is critical to unveil the potential relationship between specific microbiome members and urinary diseases/disorders. IMPORTANCE Despite evidence of the resident microbial community in the female lower urinary tract, bacterial species diversity and abundance in healthy women is still unclear. This study demonstrated that complementarity between optimized culture-dependent and –independent approaches is highly beneficial for comprehensive FUM species profiling by detecting higher FUM species diversity than previously reported, including identification of unreported Lactobacillaceae species and putative novel Corynebacterium species. Although some particular species were present in high relative abundance, low-abundant members were more prevalent. FUM classification into community structure types demonstrated high inter-individual differences in urinary microbiome composition among healthy women. We also report moderate correlation between culture-dependent and -independent derived data highlighting drawbacks resulting from each methodological approach. Our findings suggest that FUM bacterial diversity reported from previous studies may be underestimated. Finally, our results contribute to the fundamental knowledge of healthy FUM required for further exploration of the urinary microbiome role in urinary tract diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.225
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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