枯叶蛾科部分物种的DNA条形码分类研究.doc

文档介绍：
枯叶蛾科部分物种的 DNA 条形码分类研究#
1 1 2
1**
(1. 首都师范大学生命科学学院,北京 100048;
5
10
2. 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)
摘要:为了探讨 DNA 条形码技术在枯叶蛾物种鉴定中的可行性,本研究利用条形码通用引物扩增了 8 种枯
叶蛾 45 个样本的线粒体细胞色素 C 氧化酶亚基 I(Mitochondrial cytochrome c oxidase subunit I,COI)
基因序列,以 Kimura 双参数模型进行遗传距离分析、使用邻接法(Neighbor-Joining,NJ)建树,并利用
特征法在每个物种中寻找能够鉴定物种的诊断核苷酸位点。结果表明:6 种枯叶蛾种在 NJ 树上各自聚成一
个单系,且能找到诊断核苷酸位点,成功率为 75%。马尾松毛虫和油松毛虫在 NJ 树上出现嵌套现象,且没
有找到诊断核苷酸位点。最终研究表明基于 COI 基因的 DNA 条形码对于本研究中所涉及的大部分枯叶蛾具
有较好的区分,但在近缘物种区分中存在一定的局限性。
关键词:枯叶蛾科;DNA 条形码;邻接树;遗传距离
中图分类号:
15
Species identification of Lasiocampidae moths (Insecta:
Lepidoptera) with DNA barcoding
YANG Conghui1, YU Xiaoxi1, WU Chunsheng2, ZHANG Aibing1
(1. Life Sciences School, Capital Normal University, Beijing 100048;
20
25
30
35
2. Key Laboratory of Zoological Systematics and Evolution, Chinese Academy of Sciences,
Beijing 100101)
Abstract: To explore the feasibility of DNA barcoding in the identification of moths, the COI
genes of 45 samples belonging to 8 species from Lasiocampidae were amplified using universal
barcoding primers. The ic distances were calculated using the Kimura-2-parameter model.
The ic tree was constructed by Neighbor-Joining method. The character-based method
characterizes species through a series of diagnostic characters. The results showed that 6 of 8
Lasiocampidae species were essfully distinguished by the NJ