Dataset Information

Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity.

ABSTRACT: To date, the microbiome, as well as the virome of the Croatian populations of bats, was unknown. Here, we present the results of the first viral metagenomic analysis of guano, feces and saliva (oral swabs) of seven bat species (Myotis myotis, Miniopterus schreibersii, Rhinolophus ferrumequinum, Eptesicus serotinus, Myotis blythii, Myotis nattereri and Myotis emarginatus) conducted in Mediterranean and continental Croatia. Viral nucleic acids were extracted from sample pools, and analyzed using Illumina sequencing. The presence of 63 different viral families representing all seven Baltimore groups were confirmed, most commonly insect viruses likely reflecting the diet of insectivorous bats. Virome compositions of our samples were largely impacted by the sample type: invertebrate-infecting viruses were most frequently found in feces, bacterial viruses in guano, whereas vertebrate-infecting viruses were most common in swabs. Most vertebrate-infecting virus sequences were assigned to retroviruses, parvoviruses, iridoviruses, and poxviruses. We further report the complete genome sequence of a novel adeno-associated virus, densovirus and a near complete length genome sequence of a novel iflavirus. Additionally, one of the most interesting findings in this study was the difference in viromes between two contrasting habitats, the continental and Mediterranean Croatia.

SUBMITTER: Simic I

PROVIDER: S-EPMC7472731 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity.

Šimić Ivana I Zorec Tomaž Mark TM Lojkić Ivana I Krešić Nina N Poljak Mario M Cliquet Florence F Picard-Meyer Evelyne E Wasniewski Marine M Zrnčić Vida V Ćukušić Anđela A Bedeković Tomislav T

Viruses 20200814 8

To date, the microbiome, as well as the virome of the Croatian populations of bats, was unknown. Here, we present the results of the first viral metagenomic analysis of guano, feces and saliva (oral swabs) of seven bat species (Myotis myotis, Miniopterus schreibersii, Rhinolophus ferrumequinum, Eptesicus serotinus, Myotis blythii, Myotis nattereri and Myotis emarginatus) conducted in Mediterranean and continental Croatia. Viral nucleic acids were ...[more]

PMID: 32824037

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Project description:BackgroundHigh-throughput sequencing (HTS) technologies completed by the bioinformatic analysis of the generated data are becoming an important detection technique for virus diagnostics. They have the potential to replace or complement the current PCR-based methods thanks to their improved inclusivity and analytical sensitivity, as well as their overall good repeatability and reproducibility. Cross-contamination is a well-known phenomenon in molecular diagnostics and corresponds to the exchange of genetic material between samples. Cross-contamination management was a key drawback during the development of PCR-based detection and is now adequately monitored in routine diagnostics. HTS technologies are facing similar difficulties due to their very high analytical sensitivity. As a single viral read could be detected in millions of sequencing reads, it is mandatory to fix a detection threshold that will be informed by estimated cross-contamination. Cross-contamination monitoring should therefore be a priority when detecting viruses by HTS technologies.ResultsWe present Cont-ID, a bioinformatic tool designed to check for cross-contamination by analysing the relative abundance of virus sequencing reads identified in sequence metagenomic datasets and their duplication between samples. It can be applied when the samples in a sequencing batch have been processed in parallel in the laboratory and with at least one specific external control called Alien control. Using 273 real datasets, including 68 virus species from different hosts (fruit tree, plant, human) and several library preparation protocols (Ribodepleted total RNA, small RNA and double-stranded RNA), we demonstrated that Cont-ID classifies with high accuracy (91%) viral species detection into (true) infection or (cross) contamination. This classification raises confidence in the detection and facilitates the downstream interpretation and confirmation of the results by prioritising the virus detections that should be confirmed.ConclusionsCross-contamination between samples when detecting viruses using HTS (Illumina technology) can be monitored and highlighted by Cont-ID (provided an alien control is present). Cont-ID is based on a flexible methodology relying on the output of bioinformatics analyses of the sequencing reads and considering the contamination pattern specific to each batch of samples. The Cont-ID method is adaptable so that each laboratory can optimise it before its validation and routine use.

Dataset Information

Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity.

Publications

Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity.

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