格陵兰冰盖上的巨型病毒特征。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Laura Perini, Katie Sipes, Athanasios Zervas, Christopher Bellas, Stefanie Lutz, Mohammad Moniruzzaman, Rey Mourot, Liane G Benning, Martyn Tranter, Alexandre M Anesio
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引用次数: 0

摘要

背景:冰川和冰原上的深色雪藻和冰川冰藻会加速冰川融化。人们对这些藻类的生物控制,特别是病毒的作用,仍然知之甚少。巨型病毒属于核细胞质大 DNA 病毒(NCLDV)超群(核细胞病毒科),种类繁多,分布于全球各地。已知 NCLDV 可感染海洋和淡水环境中的真核细胞,对这些生态系统中的藻类种群起到生物控制作用。然而,有关陆地冰栖息地中 NCLDVs 的多样性和生态系统功能的信息非常有限:在这项研究中,我们首次调查了巨型病毒及其在冰雪栖息地(如冰晶石、暗冰、冰芯、红雪和绿雪)上的宿主联系,以及五种栽培雪藻的基因组组装。几乎所有样本中都有巨型病毒标记基因;红雪和雪藻基因组组合中的巨型病毒含量最高,其次是绿雪和暗冰。在这些含有 NCLDV 标记基因的 GrIS 生境中,活跃的藻类和原生生物种类繁多,这表明感染可能发生在一系列真核生物宿主身上。来自红雪和绿雪的元基因组数据包含巨型病毒元基因组组装的证据,这些基因组来自伊米特病毒目、阿斯富维病毒目和阿尔加维病毒目:我们的研究强调了格陵兰冰原冰雪样本中的 NCLDV 家族特征。在红雪样本中发现了巨型病毒元基因组组装基因组(GVMAGs),并首次在雪藻培养基因组组装中发现了相关的 NCLDV 标记基因;这意味着 NCLDV 与雪藻之间存在某种关系。元转录病毒组基因也与元基因组序列一致,这表明 NCLDVs 是微生物群落的一个活跃组成部分,是真核藻类和原生动物成员潜在的 "自上而下 "的控制者。这项研究揭示了在以藻类为主的各种冰川栖息地中前所未有地存在着多样化的 NCLDVs 群落。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Giant viral signatures on the Greenland ice sheet.

Background: Dark pigmented snow and glacier ice algae on glaciers and ice sheets contribute to accelerating melt. The biological controls on these algae, particularly the role of viruses, remain poorly understood. Giant viruses, classified under the nucleocytoplasmic large DNA viruses (NCLDV) supergroup (phylum Nucleocytoviricota), are diverse and globally distributed. NCLDVs are known to infect eukaryotic cells in marine and freshwater environments, providing a biological control on the algal population in these ecosystems. However, there is very limited information on the diversity and ecosystem function of NCLDVs in terrestrial icy habitats.

Results: In this study, we investigate for the first time giant viruses and their host connections on ice and snow habitats, such as cryoconite, dark ice, ice core, red and green snow, and genomic assemblies of five cultivated Chlorophyta snow algae. Giant virus marker genes were present in almost all samples; the highest abundances were recovered from red snow and the snow algae genomic assemblies, followed by green snow and dark ice. The variety of active algae and protists in these GrIS habitats containing NCLDV marker genes suggests that infection can occur on a range of eukaryotic hosts. Metagenomic data from red and green snow contained evidence of giant virus metagenome-assembled genomes from the orders Imitervirales, Asfuvirales, and Algavirales.

Conclusion: Our study highlights NCLDV family signatures in snow and ice samples from the Greenland ice sheet. Giant virus metagenome-assembled genomes (GVMAGs) were found in red snow samples, and related NCLDV marker genes were identified for the first time in snow algal culture genomic assemblies; implying a relationship between the NCLDVs and snow algae. Metatranscriptomic viral genes also aligned with metagenomic sequences, suggesting that NCLDVs are an active component of the microbial community and are potential "top-down" controls of the eukaryotic algal and protistan members. This study reveals the unprecedented presence of a diverse community of NCLDVs in a variety of glacial habitats dominated by algae.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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