Bacterial Communities in Semen from Men of Infertile Couples: Metagenomic Sequencing Reveals Relationships of Seminal Microbiota to Semen Quality
Publication Date
October 23, 2014
Journal
PLOS ONE
Authors
Shun Long Weng, Chih Min Chiu, Feng Mao Lin, Wei Chih Huang, et al
Volume
9
Issue
10
Pages
e110152
DOI
https://dx.plos.org/10.1371/journal.pone.0110152
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0110152
Mendeley
http://www.mendeley.com/research/bacterial-communities-semen-men-infertile-couples-metagenomic-sequencing-reveals-relationships-semin
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Mendeley | Further Information

{"title"=>"Bacterial communities in semen from men of infertile couples: Metagenomic sequencing reveals relationships of seminal microbiota to semen quality", "type"=>"journal", "authors"=>[{"first_name"=>"Shun Long", "last_name"=>"Weng", "scopus_author_id"=>"7101951974"}, {"first_name"=>"Chih Min", "last_name"=>"Chiu", "scopus_author_id"=>"35069121900"}, {"first_name"=>"Feng Mao", "last_name"=>"Lin", "scopus_author_id"=>"35174708400"}, {"first_name"=>"Wei Chih", "last_name"=>"Huang", "scopus_author_id"=>"55565727800"}, {"first_name"=>"Chao", "last_name"=>"Liang", "scopus_author_id"=>"37761705100"}, {"first_name"=>"Ting", "last_name"=>"Yang", "scopus_author_id"=>"56071615500"}, {"first_name"=>"Tzu Ling", "last_name"=>"Yang", "scopus_author_id"=>"56071610500"}, {"first_name"=>"Chia Yu", "last_name"=>"Liu", "scopus_author_id"=>"56399581400"}, {"first_name"=>"Wei Yun", "last_name"=>"Wu", "scopus_author_id"=>"37762432200"}, {"first_name"=>"Yi An", "last_name"=>"Chang", "scopus_author_id"=>"56399579600"}, {"first_name"=>"Tzu Hao", "last_name"=>"Chang", "scopus_author_id"=>"14218866000"}, {"first_name"=>"Hsien Da", "last_name"=>"Huang", "scopus_author_id"=>"7405615434"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84908439922", "sgr"=>"84908439922", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0110152", "pmid"=>"25340531", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"600279930"}, "id"=>"48cfe56f-6ad4-3342-b87f-b8a070c3fdb8", "abstract"=>"Some previous studies have identified bacteria in semen as being a potential factor in male infertility. However, only few types of bacteria were taken into consideration while using PCR-based or culturing methods. Here we present an analysis approach using next-generation sequencing technology and bioinformatics analysis to investigate the associations between bacterial communities and semen quality. Ninety-six semen samples collected were examined for bacterial communities, measuring seven clinical criteria for semen quality (semen volume, sperm concentration, motility, Kruger's strict morphology, antisperm antibody (IgA), Atypical, and leukocytes). Computer-assisted semen analysis (CASA) was also performed. Results showed that the most abundant genera among all samples were Lactobacillus (19.9%), Pseudomonas (9.85%), Prevotella (8.51%) and Gardnerella (4.21%). The proportion of Lactobacillus and Gardnerella was significantly higher in the normal samples, while that of Prevotella was significantly higher in the low quality samples. Unsupervised clustering analysis demonstrated that the seminal bacterial communities were clustered into three main groups: Lactobacillus, Pseudomonas, and Prevotella predominant group. Remarkably, most normal samples (80.6%) were clustered in Lactobacillus predominant group. The analysis results showed seminal bacteria community types were highly associated with semen health. Lactobacillus might not only be a potential probiotic for semen quality maintenance, but also might be helpful in countering the negative influence of Prevotella and Pseudomonas. In this study, we investigated whole seminal bacterial communities and provided the most comprehensive analysis of the association between bacterial community and semen quality. The study significantly contributes to the current understanding of the etiology of male fertility.", "link"=>"http://www.mendeley.com/research/bacterial-communities-semen-men-infertile-couples-metagenomic-sequencing-reveals-relationships-semin", "reader_count"=>76, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Researcher"=>11, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>18, "Student > Postgraduate"=>7, "Other"=>2, "Student > Master"=>13, "Student > Bachelor"=>11, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Researcher"=>11, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>18, "Student > Postgraduate"=>7, "Other"=>2, "Student > Master"=>13, "Student > Bachelor"=>11, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>3, "Biochemistry, Genetics and Molecular Biology"=>9, "Nursing and Health Professions"=>2, "Agricultural and Biological Sciences"=>36, "Medicine and Dentistry"=>18, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Veterinary Science and Veterinary Medicine"=>2, "Chemistry"=>1, "Computer Science"=>1, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>18}, "Chemistry"=>{"Chemistry"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>36}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>9}, "Unspecified"=>{"Unspecified"=>3}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "reader_count_by_country"=>{"United States"=>1, "Japan"=>1, "Denmark"=>1, "Brazil"=>2, "South Africa"=>1, "Estonia"=>1}, "group_count"=>5}

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