基于线粒体COⅠ基因的沙鳅亚科鱼类DNA条形码及其分子系统发育研究
DNA BARCODES AND MOLECULAR PHYLOGENY OF BOTIINAE FISHES BASED ON THE MITOCHONDRIAL COⅠ GENE
查看参考文献30篇
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文摘
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选择线粒体COⅠ基因作为分子标记, 进行沙鳅亚科鱼类(Botiinae)DNA条形码及其分子系统发育研究。研究获得了沙鳅亚科7属19种共131个个体的COⅠ基因序列, 利用MEGA5.0软件分析了沙鳅亚科鱼类COⅠ基因的序列特征, 计算了种内及种间遗传距离。沙鳅亚科鱼类的分子系统发育关系的重建分别采用NJ法和Bayesian法。研究发现, 沙鳅亚科COⅠ基因的碱基组成为: A 24.4%、T 29.5%、G 18.0%、C 28.1%。沙鳅亚科鱼类种内平均遗传距离为0.002±0.000, 种间平均遗传距离为0.148±0.008。DNA条形码研究结果显示, 所分析的19种沙鳅鱼类各自分别聚成单系分支, 表明COⅠ基因在本研究中具有100%的物种鉴别率。同时, 系统发育分析支持各属的单系性, 并且结果显示沙鳅亚科鱼类聚为两个分支, 其中一支由薄鳅属和副沙鳅属构成, 另一分支则包括: (沙鳅属、色鳅属)和[中华沙鳅属、(缨须鳅属、安彦鳅属)]。因此, COⅠ基因可以作为有效的分子标记对沙鳅亚科进行DNA条形码研究以及分子系统发育研究。 |
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其他语种文摘
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To analyze the characteristics of the sequences and to calculate the genetic distance within and between species, the 648 bp mitochondrial COⅠ gene was used as DNA barcode to analyze phylogenetic relationships of Botiinae fishes in 131 sequences from 19 species representing 7 genera of Botiinae. MEGA5.0 software was used in the current study. Phylogenetic analyses were carried out using neighbor-joining and Bayesian methods. Our result revealed that the nucleotide compositions were 24.4% A, 29.5% T, 18.0% G, and 28.1% C. The mean inter- and intra-specific genetic distances were 0.148±0.008 and 0.002±0.000, respectively. Individuals of each species were clustered into monophyletic groups based on the molecular phylogenetic tree, indicating that the mitochondria COⅠ gene is suitable for species discrimination. Moreover, the phylogenetic analyses supported monophyly of genera within Botiinae. Two clades were recovered within the subfamily Botiinae: one clade includes the sister-group of Leptobotia and Parabotia and the other contains Botia + Chromobotia and Sinibotia + (Syncrossus, Yasuhikotakia). This study indicated that the mitochondria COⅠ gene is a potentially effective marker for DNA barcoding and phylogenetic studies of Botiinae fishes. |
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来源
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水生生物学报
,2014,38(4):737-744 【核心库】
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关键词
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DNA条形码
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COⅠ基因
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沙鳅亚科
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物种鉴定
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地址
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中国科学院水生生物研究所, 中国科学院水生生物多样性与保护重点实验室, 武汉, 430072
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3207 |
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学科
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植物学 |
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基金
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国家自然科学基金项目
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文献收藏号
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CSCD:5202462
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