Marine viruses discovered via metagenomics shed light on viral strategies throughout the oceans.
Marine viruses discovered via metagenomics shed light on viral strategies throughout the oceans.
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DOI：
10.1038/ncomms15955
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发表时间：
2017-07-05
影响因子：
16.6
通讯作者：
Thompson FL
中科院分区：
文献类型：
--
作者：
Coutinho FH;Silveira CB;Gregoracci GB;Thompson CC;Edwards RA;Brussaard CPD;Dutilh BE;Thompson FL
海洋病毒是宿主多样性、种群动态和生物地球化学循环的关键驱动因素，并对每天数十亿吨有机物质的通量做出贡献。尽管最近在元基因组学方面取得了进展，但它们的大部分生物多样性仍未确定。在这里，我们报告了一个包含27,346个海洋病毒重叠群的数据集，其中包括44个完整的基因组。这些基因组的数量超过了目前已知的所有海洋栖息地的噬菌体基因组，其中包括以前未确定特征的谱系成员。我们设计了一种新的基于共生关联的宿主预测方法，揭示了这些病毒感染海洋微生物组的优势成员，如原氯球菌和巴氏杆菌。宿主丰度和病毒与宿主比率之间的负相关支持最近提出的在较高宿主密度下减少噬菌体裂解的Piggyback-the-Winner模型。对海洋病毒丰度模式的分析揭示了海洋病毒群落如何根据目标宿主和辅助代谢基因的多样性来适应不同的季节、温度和光照制度。对海洋病毒多样性和功能的了解还处于初级阶段。在这里，库蒂尼奥等人。收集新的病毒重叠群的数据集，并使用共现分析来识别假定的宿主，阐明感染策略和利用其宿主的病毒策略。
Marine viruses are key drivers of host diversity, population dynamics and biogeochemical cycling and contribute to the daily flux of billions of tons of organic matter. Despite recent advancements in metagenomics, much of their biodiversity remains uncharacterized. Here we report a data set of 27,346 marine virome contigs that includes 44 complete genomes. These outnumber all currently known phage genomes in marine habitats and include members of previously uncharacterized lineages. We designed a new method for host prediction based on co-occurrence associations that reveals these viruses infect dominant members of the marine microbiome such as Prochlorococcus and Pelagibacter. A negative association between host abundance and the virus-to-host ratio supports the recently proposed Piggyback-the-Winner model of reduced phage lysis at higher host densities. An analysis of the abundance patterns of viruses throughout the oceans revealed how marine viral communities adapt to various seasonal, temperature and photic regimes according to targeted hosts and the diversity of auxiliary metabolic genes. The understanding of marine virus diversity and function is in its infancy. Here, Coutinho et al. assemble a data set of new viral contigs and use co-occurrence analyses to identify the putative hosts, elucidate infection strategies and viral strategies for exploiting their hosts.
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影响因子：
3.7
作者：
Gilbert JA;Field D;Swift P;Thomas S;Cummings D;Temperton B;Weynberg K;Huse S;Hughes M;Joint I;Somerfield PJ;Mühling M
通讯作者：
Mühling M
影响因子：
4.3
作者：
Faust K;Sathirapongsasuti JF;Izard J;Segata N;Gevers D;Raes J;Huttenhower C
通讯作者：
Huttenhower C
影响因子：
4.4
作者：
Aguirre de Cárcer D;Angly FE;Alcamí A
通讯作者：
Alcamí A
影响因子：
11.3
作者：
Edwards RA;McNair K;Faust K;Raes J;Dutilh BE
通讯作者：
Dutilh BE
影响因子：
4.1
作者：
Biswas A;Gagnon JN;Brouns SJ;Fineran PC;Brown CM
通讯作者：
Brown CM