首页> 美国卫生研究院文献>The ISME Journal >Top-down controls on bacterial community structure: microbial network analysis of bacteria T4-like viruses and protists
【2h】

Top-down controls on bacterial community structure: microbial network analysis of bacteria T4-like viruses and protists

机译:自上而下控制细菌群落结构:细菌T4样病毒和原生生物的微生物网络分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Characterizing ecological relationships between viruses, bacteria and protists in the ocean are critical to understanding ecosystem function, yet these relationships are infrequently investigated together. We evaluated these relationships through microbial association network analysis of samples collected approximately monthly from March 2008 to January 2011 in the surface ocean (0–5 m) at the San Pedro Ocean Time series station. Bacterial, T4-like myoviral and protistan communities were described by Automated Ribosomal Intergenic Spacer Analysis and terminal restriction fragment length polymorphism of the gene encoding the major capsid protein (g23) and 18S ribosomal DNA, respectively. Concurrent shifts in community structure suggested similar timing of responses to environmental and biological parameters. We linked T4-like myoviral, bacterial and protistan operational taxonomic units by local similarity correlations, which were then visualized as association networks. Network links (correlations) potentially represent synergistic and antagonistic relationships such as viral lysis, grazing, competition or other interactions. We found that virus–bacteria relationships were more cross-linked than protist–bacteria relationships, suggestive of increased taxonomic specificity in virus–bacteria relationships. We also found that 80% of bacterial–protist and 74% of bacterial–viral correlations were positive, with the latter suggesting that at monthly and seasonal timescales, viruses may be following their hosts more often than controlling host abundance.
机译:表征海洋中病毒,细菌和原生生物之间的生态关系对于了解生态系统功能至关重要,但是很少会一起研究这些关系。我们通过微生物关联网络分析,评估了从2008年3月至2011年1月大约每月从圣佩德罗海洋时间序列站地表海洋(0-5 µm)采集的样本中的这些关系。通过自动核糖体基因间间隔分析和编码主要衣壳蛋白(g23)和18S核糖体DNA的基因的末端限制性片段长度多态性描述了细菌,T4样肌病毒和protistan群落。社区结构的同时变化表明对环境和生物学参数的响应时间相似。我们通过局部相似性关联将T4样的肌病毒,细菌和前列腺素操作分类单元连接起来,然后将其可视化为关联网络。网络链接(关联)可能表示协同关系和拮抗关系,例如病毒裂解,放牧,竞争或其他相互作用。我们发现病毒与细菌之间的关系比原生生物与细菌之间的关系更紧密地联系在一起,这表明病毒与细菌之间的分类学特异性提高了。我们还发现80%的细菌-蛋白质相关性和74%的细菌-病毒相关性呈正相关,后者表明在每月和季节性时间范围内,病毒跟随宿主的频率可能比控制宿主丰度的频率高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号