Open access Journal SINTA 1
Characterization of the urogenital microbiome in patients with urinary tract infections
Indonesian Journal of Biotechnology · Vol. 27 No. 3 (2022) · pp. 142–150
- ISSN
- 2089-2241, 0853-8654
- Published
- 2022-09-30
- Publisher
- Universitas Gadjah Mada
- Language
- eng
Abstract
Standard microbiological culture techniques can only identify a fraction of the urogenital microbiome. Meanwhile, identifying and characterizing infectious microorganisms are very important for the success of diagnosis and treatments, especially for Urinary Tract Infection (UTI) patients. This study aimed to characterize the urogenital microbiome of UTI patients using 16S rRNA gene sequencing. We sequenced two pooled DNA samples from voided urine of UTI patients (21 females and 13 males). To determine the structure and composition of taxa in the samples, 16S rRNA gene sequencing was performed using the Illumina Mi‐Seq paired‐end platform. The most abundant genera were Burkholderia‐Caballeronia‐Paraburkholderia (71%) followed by Prevotella (33%), Escherichia‐Shigella (24%), Klebsiella (23%) and Sneathia (10%). The female microbiome was dominated by Prevotella bivia (28%), Escherichia coli (24%), Sneathia sanguinegens (7%) and Klebsiella pneumoniae (4%). On the other hand, the male microbiome was dominated by K. pneumoniae (23%) and E. coli (2%). K. pneumoniae and E. coli were the most abundant species found in both microbiomes. The 16S rRNA gene sequencing used in this study successfully uncovered the composition of the urogenital microbiome, which might not have been possible with conventional culture methods.
Keywords
Collaboration network of the authors
40 authors · 145 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Palangka Raya
- Universitas Gadjah Mada
- State University of Jakarta
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Purnomo Purnomo | Affiliation unknown | 5 |
| Arif muazam | Affiliation unknown | 2 |
| Setyorini Widyayanti | Affiliation unknown | 2 |
| Adib Fakhruddin Yusuf | Affiliation unknown | 2 |
| Wahyu Wilopo | Affiliation unknown | 2 |
| Adventus Panda | University of Palangka Raya | 2 |
| Dwi Priyowidodo | Affiliation unknown | 2 |
| Tjut Sugandawaty Djohan | Affiliation unknown | 2 |
| Ganies Riza Aristya | Affiliation unknown | 2 |
| Tuty Arisuryanti | Affiliation unknown | 2 |
| Laurentius Hartanto Nugroho | Affiliation unknown | 2 |
| KEIKO T. NATSUAKI | Affiliation unknown | 2 |
| Eko Agus Suyono | Affiliation unknown | 2 |
| sukirno sukirno | Affiliation unknown | 2 |
| Yekti Asih Purwestri | Affiliation unknown | 2 |
| Suharyanto Suharyanto | Universitas Gadjah Mada | 1 |
| Uni Baroroh Husnudin | Affiliation unknown | 1 |
| Rizal Hermawan Setiyobudi | Affiliation unknown | 1 |
| Lies Mira Yusiati | Affiliation unknown | 1 |
| Widodo Widodo | State University of Jakarta | 1 |
| Asih Kurniawati | Affiliation unknown | 1 |
| Ketut Arte Widane | Affiliation unknown | 1 |
| Annisaa Widyasari | Affiliation unknown | 1 |
| Bernardinus Pratama | Affiliation unknown | 1 |
| Ari Meididit | Affiliation unknown | 1 |
| Okta Simon | Affiliation unknown | 1 |
| Karmilah Karmilah | Affiliation unknown | 1 |
| Vida Rahma Latifah | Affiliation unknown | 1 |
| Vivi Indah Nurcahyati | Affiliation unknown | 1 |
| Anggun Diyan Nurhasanah | Affiliation unknown | 1 |
| Adristi Shafa Widyasari | Affiliation unknown | 1 |
| Ananto Puradi Nainggolan | Affiliation unknown | 1 |
| Aldy Riau Wansyah Hasibuan | Affiliation unknown | 1 |
| Madyan Akmal Hidayat | Affiliation unknown | 1 |
| Arini Dian Pratiwi | Affiliation unknown | 1 |
| Rindu Aurantika | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.