論文

査読有り
2015年12月

Deep sequencing of amplified Prasinovirus and host green algal genes from an Indian Ocean transect reveals interacting trophic dependencies and new genotypes

ENVIRONMENTAL MICROBIOLOGY REPORTS
  • Camille Clerissi
  • Yves Desdevises
  • Sarah Romac
  • Stephane Audic
  • Colomban de Vargas
  • Silvia G. Acinas
  • Raffaella Casotti
  • Julie Poulain
  • Patrick Wincker
  • Pascal Hingamp
  • Hiroyuki Ogata
  • Nigel Grimsley
  • 全て表示

7
6
開始ページ
979
終了ページ
989
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/1758-2229.12345
出版者・発行元
WILEY-BLACKWELL

High-throughput sequencing of Prasinovirus DNA polymerase and host green algal (Mamiellophyceae) ribosomal RNA genes was used to analyse the diversity and distribution of these taxa over a similar to 10 000 km latitudinal section of the Indian Ocean. New viral and host groups were identified among the different trophic conditions observed, and highlighted that although unknown prasinoviruses are diverse, the cosmopolitan algal genera Bathycoccus, Micromonas and Ostreococcus represent a large proportion of the host diversity. While Prasinovirus communities were correlated to both the geography and the environment, host communities were not, perhaps because the genetic marker used lacked sufficient resolution. Nevertheless, analysis of single environmental variables showed that eutrophic conditions strongly influence the distributions of both hosts and viruses. Moreover, these communities were not correlated, in their composition or specific richness. These observations could result from antagonistic dynamics, such as that illustrated in a prey-predator model, and/or because hosts might be under a complex set of selective pressures. Both of these reasons must be considered to interpret environmental surveys of viruses and hosts, because covariation does not always imply interaction.

リンク情報
DOI
https://doi.org/10.1111/1758-2229.12345
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000368136100020&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/1758-2229.12345
  • ISSN : 1758-2229
  • Web of Science ID : WOS:000368136100020

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