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A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae

机译:田间采集昆虫幼虫龄期鉴定的新技术

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摘要

Many field studies of insects have focused on the adult stage alone, likely because immature stages are unknown in most insect species. Molecular species identification (e.g., DNA barcoding) has helped ascertain the immature stages of many insects, but larval developmental stages (instars) cannot be identified. The identification of the growth stages of collected individuals is indispensable from both ecological and taxonomic perspectives. Using a larval–adult body size relationship across species, I present a novel technique for identifying the instar of field-collected insect larvae that are identified by molecular species identification technique. This method is based on the assumption that classification functions derived from discriminant analyses, performed with larval instar as a response variable and adult and larval body sizes as explanatory variables, can be used to determine the instar of a given larval specimen that was not included in the original data set, even at the species level. This size relationship has been demonstrated in larval instars for many insects (Dyar’s rule), but no attempt has been made to include the adult stage. Analysis of a test data set derived from the beetle family Carabidae (Coleoptera) showed that classification functions obtained from data sets derived from related species had a correct classification rate of 81–100%. Given that no reliable method has been established to identify the instar of field-collected insect larvae, these values may have sufficient accuracy as an analytical method for field-collected samples. The chief advantage of this technique is that the instar can be identified even when only one specimen is available per species if classification functions are determined for groups to which the focal species belongs. Similar classification functions should be created for other insect groups. By using those functions together with molecular species identification, future studies could include larval stages as well as adults.
机译:许多昆虫的野外研究仅关注成年阶段,这可能是因为大多数昆虫物种中的未成熟阶段是未知的。分子种类识别(例如,DNA条形码)有助于确定许多昆虫的未成熟阶段,但无法识别幼虫发育阶段(成虫)。从生态学和分类学的角度来看,确定收集个体的生长阶段都是必不可少的。利用跨物种的幼虫-成虫体型关系,我提出了一种新的技术,用于鉴定通过分子物种鉴定技术鉴定的田间采集的昆虫幼虫的幼虫。该方法基于以下假设:从判别分析得出的分类函数(以幼虫龄作为响应变量,而成年和幼虫体型作为解释变量)可用于确定未包含在给定幼虫标本中的龄期原始数据集,甚至在物种级别也是如此。这种大小关系已在许多昆虫的幼虫期中得到证实(Dyar的法则),但尚未尝试包括成年阶段。对甲虫科(Carabidae)的测试数据集的分析表明,从相关物种的数据集获得的分类函数的正确分类率为81–100%。鉴于尚未建立确定田间采集昆虫幼虫龄期的可靠方法,这些值作为田间采集样品的分析方法可能具有足够的准确性。该技术的主要优势在于,如果确定了焦点物种所属的群体的分类功能,则即使每个物种只有一个标本,也可以识别出龄期。应该为其他昆虫群体创建类似的分类功能。通过将这些功能与分子种类识别一起使用,未来的研究可能包括幼虫阶段以及成年阶段。

著录项

  • 期刊名称 PLoS Clinical Trials
  • 作者

    Kôji Sasakawa;

  • 作者单位
  • 年(卷),期 2010(8),2
  • 年度 2010
  • 页码 e57836
  • 总页数 6
  • 原文格式 PDF
  • 正文语种
  • 中图分类
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