首页|基于DNA条形码的物种界定算法比较研究——以北京周边地区舟蛾科为例

基于DNA条形码的物种界定算法比较研究——以北京周边地区舟蛾科为例

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[目的]为了探究3种常用物种界定方法(jMOTU、ABGD、GMYC)的界定效果.[方法]本研究以中国北京周边地区10个采样点483个舟蛾科样品为例,利用线粒体细胞色素C氧化酶Ⅰ亚基基因(Cytochrome c oxidase subunit geneⅠ,COⅠ或COX1,约650 bp)的部分序列,进行3种物种界定算法(jMOTU、ABGD、GMYC)的实例比较研究.[结果]3种物种界定方法的鉴定效力存在差异,与形态学结果相比较,ABGD方法划分物种的准确率为100%,基于BEAST的GMYC模型结果与形态学结果一致,产生的置信区间(64~68)覆盖了形态学的结果(67).然而,基于d8tree/MPLtree的GMYC方法倾向于高估MOTUs,jMOTU方法倾向于低估物种数目.[结论]结果显示,ABGD方法和基于BEAST的GMYC模型方法对于本文研究对象舟蛾科能够较好地划分,可以对基于形态学的物种界定进行有效补充.
The reliability of DNA barcoding as a means of identifying Notodontid moth species (Insecta: Lepidoptera, Notodontidae) in Beijing, China
[Objectives] To evaluate the performance of three species identification algorithms (jMOTU, ABGD, GMYC) with respect to the Notodontidae (Insecta, Lepidoptera). [Methods] COⅠgenes from 483 notodontid moth specimens collected from 10 collection sites in Northern China around Beijing were amplified using universal barcoding primers. [Results] Results obtained using each of the three algorithims differed. Using the results obtained by morphological species identification methods as a reference, the ABGD algorithm was 100% accurate. The results obtained using GMYC_BEAST were also generally consistent with those obtained by morphological methods, having a confidence interval of 64-68 c.f. 67 species identified by morphological methods. However, the GMYC_d8tree/MPLtree method tended to overestimate MOTUs and the jMOTU method tended to underestimate the number of species. [Conclusion] ABGD and GMYC_BEAST can reliably identify species within Notodontidae on the basis of COⅠ gene variation.

NotodontidaeDNA barcodingspecies delineationGMYCABGDjMOTU

金倩、武春生、陈芬、罗桂杰、蔡卫佳、刘旭、杨采青、郝梦迪、张爱兵

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江苏省农业科学院宿迁农科所,宿迁 223800

首都师范大学生命科学学院,北京 100048

中国科学院动物研究所动物进化与系统学重点实验室,北京 100101

舟蛾科 DNA条形码 物种界定 GMYC ABGD jMOTU

国家自然科学基金青年科学基金国家杰出青年基金国家自然科学基金国家自然科学基金宿迁市自主创新项目

31601877314250233127234031471959SQCX2015-06

2017

应用昆虫学报
中国昆虫学会 中国科学院动物研究所

应用昆虫学报

CSTPCDCSCD北大核心
影响因子:0.679
ISSN:0452-8255
年,卷(期):2017.54(1)
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