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Naslov:Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis
Avtorji:ID Kogoj, Rok (Avtor)
ID Bosilj, Martin (Avtor)
ID Celar Šturm, Andraž (Avtor)
ID Korva, Miša (Avtor)
ID Strašek Smrdel, Katja (Avtor)
ID Kvas, Eva (Avtor)
ID Pirš, Mateja (Avtor)
ID Lepen, Lidija (Avtor)
ID Triglav, Tina (Avtor)
Datoteke:.pdf PDF - Predstavitvena datoteka, prenos (563,47 KB)
MD5: A1CB566DD0D223B35F18952D7943895B
 
URL URL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S153204642500070X?via%3Dihub
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo UKC LJ - Univerzitetni klinični center Ljubljana
Povzetek:Objective: This study aimed to employ advanced bioinformatics and modern sequencing approaches to solve a diagnostic problem of persistent Campylobacter spp. molecular detection yet negative culture results from four consecutive stool samples of a previously healthy patient with newly diagnosed selective IgA deficiency and prolonged diarrhoea. Methods: Metagenomic next-generation sequencing (mNGS) based on short-paired end reads with basic bioinformatic read classification analysis was used at first. Due to ambiguous results, advanced bioinformatics involving contigs construction and classification, reference genome mappings and reads filtering with BBSplit, additionally coupled with metagenomic long-reads sequencing and Full-length 16S rRNA metabarcoding were employed to further elucidate the results. Virulence factors were analysed using the Prokka Genome Annotation tool. Modified classical bacteriology methods were finally used for further clarification. Results: Short-pair end reads analysis identified several Campylobacter species in all four samples. After advanced bioinformatic approaches were applied, candidatus C. infans was suspected as the putative pathogen. This result was further supported by metagenomic long-reads sequencing and Full-length 16S rRNA metabarcoding. Nevertheless, after modifying the culture conditions based on mNGS results, a mixed culture of candidatus C. infans and C.ureolyticus was obtained. Sequencing of the mixed culture resulted in an 87.48% and 73.47% genome coverage of candidatus C. infans and C. ureolyticus, respectively. In the candidatus C. infans genome more virulence factors hits were found than in the C. ureolyticus genome thus supporting the first as the most probable cause of symptoms. Conclusion: This study shows the pivotal role and strengths of mNGS in unravelling an unusual case of diarrhoea and demonstrates how mNGS can guide established microbiological methods to improve on current limitations. However, it also emphasises the need for careful interpretation of sequencing data, particularly for closely related bacterial species from clinical samples that are known to support complex microbial communities.
Ključne besede:16S rRNA metabarcoding, bioinformatics, campylobacter, metagenomics, NGS
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:str. 1-7
Številčenje:Vol. 166, iss. [article no.] 104841
PID:20.500.12556/DiRROS-28972 Novo okno
UDK:659.2:004
ISSN pri članku:1532-0480
DOI:10.1016/j.jbi.2025.104841 Novo okno
COBISS.SI-ID:237243395 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 27. 5. 2025;
Datum objave v DiRROS:15.04.2026
Število ogledov:130
Število prenosov:101
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Journal of biomedical informatics
Založnik:Elsevier
ISSN:1532-0480
COBISS.SI-ID:23743783 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P3-0083-2022
Naslov:Odnosi parazitskega obstajanja

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:metačrtno kodiranje 16S rRNA, bioinformatika, kampilobakter, metagenomika


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