دورية أكاديمية
Human and Animal RNA Virus Diversity Detected by Metagenomics in Cameroonian Clams.
العنوان: | Human and Animal RNA Virus Diversity Detected by Metagenomics in Cameroonian Clams. |
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المؤلفون: | Bonny P; Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.; Département de Microbiologie, Université de Yaoundé I, Yaoundé, Cameroon.; Centre de Recherche en Alimentation et Nutrition, IMPM, Yaoundé, Cameroon., Schaeffer J; Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France., Besnard A; Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France., Desdouits M; Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France., Ngang JJE; Département de Microbiologie, Université de Yaoundé I, Yaoundé, Cameroon., Le Guyader FS; Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France. |
المصدر: | Frontiers in microbiology [Front Microbiol] 2021 Nov 30; Vol. 12, pp. 770385. Date of Electronic Publication: 2021 Nov 30 (Print Publication: 2021). |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101548977 Publication Model: eCollection Cited Medium: Print ISSN: 1664-302X (Print) Linking ISSN: 1664302X NLM ISO Abbreviation: Front Microbiol Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Lausanne : Frontiers Research Foundation |
مستخلص: | Many recent pandemics have been recognized as zoonotic viral diseases. While their origins remain frequently unknown, environmental contamination may play an important role in emergence. Thus, being able to describe the viral diversity in environmental samples contributes to understand the key issues in zoonotic transmission. This work describes the use of a metagenomic approach to assess the diversity of eukaryotic RNA viruses in river clams and identify sequences from human or potentially zoonotic viruses. Clam samples collected over 2years were first screened for the presence of norovirus to verify human contamination. Selected samples were analyzed using metagenomics, including a capture of sequences from viral families infecting vertebrates (VirCapSeq-VERT) before Illumina NovaSeq sequencing. The bioinformatics analysis included pooling of data from triplicates, quality filtering, elimination of bacterial and host sequences, and a deduplication step before de novo assembly. After taxonomic assignment, the viral fraction represented 0.8-15% of reads with most sequences (68-87%) remaining un-assigned. Yet, several mammalian RNA viruses were identified. Contigs identified as belonging to the Astroviridae were the most abundant, with some nearly complete genomes of bastrovirus identified. Picobirnaviridae sequences were related to strains infecting bats, and few others to strains infecting humans or other hosts. Hepeviridae sequences were mostly related to strains detected in sponge samples but also strains from swine samples. For Caliciviridae and Picornaviridae , most of identified sequences were related to strains infecting bats, with few sequences close to human norovirus, picornavirus, and genogroup V hepatitis A virus. Despite a need to improve the sensitivity of our method, this study describes a large diversity of RNA virus sequences from clam samples. To describe all viral contaminants in this type of food, and being able to identify the host infected by viral sequences detected, may help to understand some zoonotic transmission events and alert health authorities of possible emergence. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Bonny, Schaeffer, Besnard, Desdouits, Essia Ngang and Le Guyader.) |
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فهرسة مساهمة: | Keywords: human enteric viruses; mammal viruses; metagenomics; shellfish; zoonosis |
تواريخ الأحداث: | Date Created: 20211217 Latest Revision: 20211218 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC8669915 |
DOI: | 10.3389/fmicb.2021.770385 |
PMID: | 34917052 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1664-302X |
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DOI: | 10.3389/fmicb.2021.770385 |