数字农科院2.0

Unveiling the Virome of Wild Birds: Exploring CRESS-DNA Viral Dark Matter

文献类型： 外文期刊

作者： Ziyuan Dai;Haoning Wang;Juan Xu;Xiang Lu;Ping Ni;Shixing Yang;Quan Shen;Xiaochun Wang;Wang Li;Xiaolong Wang;Chenglin Zhou;Wen Zhang;Tongling Shan

作者机构：

关键词： Cressdnaviricota;dark matter;metagenomic;wild bird

期刊名称： Genome biology and evolution

ISSN： 1759-6653

年卷期： 2024 年 16 卷 10 期

页码：

收录情况： SCIE（2024版）

摘要： Amid global health concerns and the constant threat of zoonotic diseases, this study delves into the diversity of circular replicase-encoding single-stranded DNA (CRESS-DNA) viruses within Chinese wild bird populations. Employing viral metagenomics to tackle the challenge of "viral dark matter," the research collected and analyzed 3,404 cloacal swab specimens across 26 bird families. Metagenomic analysis uncovered a rich viral landscape, with 67.48% of reads classified as viral dark matter, spanning multiple taxonomic levels. Notably, certain viral families exhibited host-specific abundance patterns, with Galliformes displaying the highest diversity. Diversity analysis categorized samples into distinct groups, revealing significant differences in viral community structure, particularly noting higher diversity in terrestrial birds compared to songbirds and unique diversity in migratory birds versus perching birds. The identification of ten novel Circoviridae viruses, seven Smacoviridae viruses, and 167 Genomoviridae viruses, along with 100 unclassified CRESS-DNA viruses, underscores the expansion of knowledge on avian-associated circular DNA viruses. Phylogenetic and structural analyses of Rep proteins offered insights into evolutionary relationships and potential functional variations among CRESS-DNA viruses. In conclusion, this study significantly enhances our understanding of the avian virome, shedding light on the intricate relationships between viral communities and host characteristics in Chinese wild bird populations. The diverse array of CRESS-DNA viruses discovered opens avenues for future research into viral evolution, spread factors, and potential ecosystem impacts.

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