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Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform

Since the first description of a commensal seminal microbiome using sequencing, less than a decade ago, interest in the composition of this microbiome and its relationship with fertility has been growing. Articles using next-generation sequencing techniques agree on the identification of the most ab...

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Autores principales: Garcia-Segura, Sergio, del Rey, Javier, Closa, Laia, Garcia-Martínez, Iris, Hobeich, Carlos, Castel, Ana Belén, Vidal, Francisco, Benet, Jordi, Oliver-Bonet, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178615/
https://www.ncbi.nlm.nih.gov/pubmed/37175573
http://dx.doi.org/10.3390/ijms24097867
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author Garcia-Segura, Sergio
del Rey, Javier
Closa, Laia
Garcia-Martínez, Iris
Hobeich, Carlos
Castel, Ana Belén
Vidal, Francisco
Benet, Jordi
Oliver-Bonet, Maria
author_facet Garcia-Segura, Sergio
del Rey, Javier
Closa, Laia
Garcia-Martínez, Iris
Hobeich, Carlos
Castel, Ana Belén
Vidal, Francisco
Benet, Jordi
Oliver-Bonet, Maria
author_sort Garcia-Segura, Sergio
collection PubMed
description Since the first description of a commensal seminal microbiome using sequencing, less than a decade ago, interest in the composition of this microbiome and its relationship with fertility has been growing. Articles using next-generation sequencing techniques agree on the identification of the most abundant bacterial phyla. However, at the genus level, there is still no consensus on which bacteria are most abundant in human seminal plasma. This discrepancy may be due to methodological variability such as sample collection, bacterial DNA extraction methodology, which hypervariable regions of 16S rRNA gene have been amplified, or bioinformatic analysis. In the present work, seminal microbiota of 14 control samples and 42 samples of idiopathic infertile patients were characterized based on full-length sequencing of the 16S rRNA gene using MinION platform from Oxford Nanopore. These same samples had been analyzed previously using Illumina’s MiSeq sequencing platform. Comparison between the results obtained with the two platforms has been used to analyze the impact of sequencing method on the study of the seminal microbiome’s composition. Seminal microbiota observed with MinION were mainly composed of the phyla Firmicutes, Proteobacteria, Bacteroidetes and Actinobacteria, with the most abundant genera being Peptoniphilus, Finegoldia, Staphylococcus, Anaerococcus, Campylobacter, Prevotella, Streptococcus, Lactobacillus, Ezakiella and Enterococcus. This composition was similar to that found by the Illumina platform, since these 10 most abundant genera were also among the most abundant genera detected by the Nanopore platform. In both cases, the top 10 genera represented more than 70% of the classified reads. However, relative abundance of each bacterium did not correlate between these two platforms, with intraindividual variations of up to 50 percentage points in some cases. Results suggest that the effect of the sequencing platform on the characterization of seminal microbiota is not very large at the phylum level, with slightly variances in Firmicutes and Actinobacteria, but presents differences at the genus level. These differences could alter the composition and diversity of bacterial profiles or posterior analyses. This indicates the importance of conducting multi-platform studies to better characterize seminal microbioma.
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spelling pubmed-101786152023-05-13 Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform Garcia-Segura, Sergio del Rey, Javier Closa, Laia Garcia-Martínez, Iris Hobeich, Carlos Castel, Ana Belén Vidal, Francisco Benet, Jordi Oliver-Bonet, Maria Int J Mol Sci Article Since the first description of a commensal seminal microbiome using sequencing, less than a decade ago, interest in the composition of this microbiome and its relationship with fertility has been growing. Articles using next-generation sequencing techniques agree on the identification of the most abundant bacterial phyla. However, at the genus level, there is still no consensus on which bacteria are most abundant in human seminal plasma. This discrepancy may be due to methodological variability such as sample collection, bacterial DNA extraction methodology, which hypervariable regions of 16S rRNA gene have been amplified, or bioinformatic analysis. In the present work, seminal microbiota of 14 control samples and 42 samples of idiopathic infertile patients were characterized based on full-length sequencing of the 16S rRNA gene using MinION platform from Oxford Nanopore. These same samples had been analyzed previously using Illumina’s MiSeq sequencing platform. Comparison between the results obtained with the two platforms has been used to analyze the impact of sequencing method on the study of the seminal microbiome’s composition. Seminal microbiota observed with MinION were mainly composed of the phyla Firmicutes, Proteobacteria, Bacteroidetes and Actinobacteria, with the most abundant genera being Peptoniphilus, Finegoldia, Staphylococcus, Anaerococcus, Campylobacter, Prevotella, Streptococcus, Lactobacillus, Ezakiella and Enterococcus. This composition was similar to that found by the Illumina platform, since these 10 most abundant genera were also among the most abundant genera detected by the Nanopore platform. In both cases, the top 10 genera represented more than 70% of the classified reads. However, relative abundance of each bacterium did not correlate between these two platforms, with intraindividual variations of up to 50 percentage points in some cases. Results suggest that the effect of the sequencing platform on the characterization of seminal microbiota is not very large at the phylum level, with slightly variances in Firmicutes and Actinobacteria, but presents differences at the genus level. These differences could alter the composition and diversity of bacterial profiles or posterior analyses. This indicates the importance of conducting multi-platform studies to better characterize seminal microbioma. MDPI 2023-04-26 /pmc/articles/PMC10178615/ /pubmed/37175573 http://dx.doi.org/10.3390/ijms24097867 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garcia-Segura, Sergio
del Rey, Javier
Closa, Laia
Garcia-Martínez, Iris
Hobeich, Carlos
Castel, Ana Belén
Vidal, Francisco
Benet, Jordi
Oliver-Bonet, Maria
Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title_full Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title_fullStr Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title_full_unstemmed Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title_short Characterization of Seminal Microbiome of Infertile Idiopathic Patients Using Third-Generation Sequencing Platform
title_sort characterization of seminal microbiome of infertile idiopathic patients using third-generation sequencing platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178615/
https://www.ncbi.nlm.nih.gov/pubmed/37175573
http://dx.doi.org/10.3390/ijms24097867
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