Biodiversity Institute of Ontario and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.
PLoS One. 2011;6(7):e14424. doi: 10.1371/journal.pone.0014424. Epub 2011 Jul 6.
The efficient and effective monitoring of individuals and populations is critically dependent on correct species identification. While this point may seem obvious, identifying the majority of the more than 100 natural enemies involved in the spruce budworm (Choristoneura fumiferana--SBW) food web remains a non-trivial endeavor. Insect parasitoids play a major role in the processes governing the population dynamics of SBW throughout eastern North America. However, these species are at the leading edge of the taxonomic impediment and integrating standardized identification capacity into existing field programs would provide clear benefits. We asked to what extent DNA barcoding the SBW food web would alter our understanding of the diversity and connectence of the food web and the frequency of generalists vs. specialists in different forest habitats. We DNA barcoded over 10% of the insects collected from the SBW food web in three New Brunswick forest plots from 1983 to 1993. For 30% of these specimens, we amplified at least one additional nuclear region. When the nodes of the food web were estimated based on barcode divergences (using molecular operational taxonomic units (MOTU) or phylogenetic diversity (PD)--the food web became much more diverse and connectence was reduced. We tested one measure of food web structure (the "bird feeder effect") and found no difference compared to the morphologically based predictions. Many, but not all, of the presumably polyphagous parasitoids now appear to be morphologically-cryptic host-specialists. To our knowledge, this project is the first to barcode a food web in which interactions have already been well-documented and described in space, time and abundance. It is poised to be a system in which field-based methods permit the identification capacity required by forestry scientists. Food web barcoding provided an effective tool for the accurate identification of all species involved in the cascading effects of future budworm outbreaks. Integrating standardized barcodes within food webs may ultimately change the face of community ecology. This will be most poignantly felt in food webs that have not yet been quantified. Here, more accurate and precise connections will be within the grasp of any researcher for the first time.
对个体和群体进行高效、有效的监测,关键依赖于正确的物种鉴定。虽然这一点似乎显而易见,但要识别参与云杉芽虫(Choristoneura fumiferana-SBW)食物网的 100 多种自然天敌中的大多数,仍然是一项艰巨的任务。昆虫寄生蜂在管理整个北美东部 SBW 种群动态的过程中起着重要作用。然而,这些物种处于分类障碍的前沿,如果将标准化的鉴定能力纳入现有的实地项目,将带来明显的好处。我们想知道,对 SBW 食物网进行 DNA 条形码分析在多大程度上会改变我们对食物网多样性和连通性的理解,以及不同森林生境中广义捕食者与特化捕食者的频率。我们对 1983 年至 1993 年在新不伦瑞克省的三个森林样地中从 SBW 食物网中收集的昆虫进行了超过 10%的 DNA 条形码分析。对于这些标本中的 30%,我们至少扩增了一个额外的核区域。当根据条形码差异(使用分子操作分类单元(MOTU)或系统发育多样性(PD)估计食物网的节点时,食物网变得更加多样化,连通性降低。我们测试了一种食物网结构的衡量标准(“鸟食器效应”),与基于形态学的预测相比,没有发现差异。许多(但不是全部)原本认为是多食性的寄生蜂现在似乎是形态学上隐蔽的宿主特化种。据我们所知,这是第一个对一个已经很好地记录和描述了空间、时间和丰度上相互作用的食物网进行条形码分析的项目。它有可能成为一个系统,其中基于实地的方法可以满足林业科学家所需的鉴定能力。食物网条形码分析为准确识别未来芽虫爆发的级联效应中涉及的所有物种提供了有效的工具。在食物网中整合标准化的条形码最终可能会改变群落生态学的面貌。在尚未量化的食物网中,这一点将最为明显。在这里,任何研究人员都将首次能够更准确、更精确地建立联系。