青海省裂胸科鱼类DNA条形码及其特征诊断位点分析。

Ting Wang, Desheng Qi, Shihao Sun, Zhonghao Liu, Yurong Du, Songchang Guo, Jianbin Ma
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引用次数: 4

摘要

青藏高原是亚洲许多河流的源头和上游,河流纵横交错,湖泊星罗交错。裂胸科鱼类是青藏高原的原生物种,在这些河流和湖泊中广泛分布。几十年来,生态保护力度日益加大。快速获取遗传信息和建立准确的基因序列数据库是保护物种多样性和生物多样性的重要手段。本研究利用青海省裂胸科鱼类8属13种的153条COI序列(长度为648bp),对条形码能否准确识别裂胸科鱼类进行了研究。种内和种间平均木村二参数(K2P)遗传距离分别为0.35%和8.83%。种内K2P距离最大的是eckloni gymnocytis(1.36%),最小的是Chuanchia labiosa和Schizopygopsis pylzovi(0.23%)。两种基因在种内和种间的K2P距离上存在重叠。通过条形码间隙自动发现系统共鉴定出11个类群,其中9个为单种类群,2个为多种类群,与K2P距离重叠一致。计算COI条形码的准确率为96.7%,基于COI基因和Cyt b基因的系统发育树具有较高的解算率。除了基于上述两个基因的结果相似外,COI条形码比Cyt b基因更经济。SOM模型在种水平上成功地预测了8个物种的36个特征诊断点,其中:厚腹裂腹龙12个、极鸭嘴龙2个、kaznakovi Ptychobarbus 7个、前腹裂腹龙2个、malacanthus schizopyopsis 2个、malacanthus chengi schizopyopsis 3个、dolichonema Schizothorax 3个、lantsangensis 5个。结果表明,利用COI DNA条形码可以有效地识别裂胸科鱼类。提出了36个特征诊断点用于青海省裂胸科鱼类的物种鉴定工作。
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DNA barcodes and their characteristic diagnostic sites analysis of Schizothoracinae fishes in Qinghai province.

The Qinghai-Tibetan Plateau (QTP), the source and upper reaches of many Asian rivers, are crisscrossed by rivers and dotted with lakes. Schizothoracinae fishes, species native to the QTP, are distributed widely through these rivers and lakes. Over the past decades, ecological protection has become increasingly intense. The rapid acquisition of the genetic information and accurate gene sequence database are assumed to play an important role in the conservation of species diversity and biodiversity. In this study, 153 COI sequences (648bp in length) covering 13 species in 8 genera of Schizothoracinae fishes in Qinghai Province were used to determine whether barcode could identify Schizothoracinae species accurately. The average Kimura two parameter (K2P) genetic distances within and among species were 0.35% and 8.83%, respectively. The maximum K2P distance within species was observed in Gymnocypris eckloni (1.36%) while minimum K2P distance among species was observed between Chuanchia labiosa and Schizopygopsis pylzovi (0.23%). Overlaps existed in K2P distance intra- and inter- species based on both the genes. Eleven groups with 9 single-species groups and 2 multi-species groups were identified through Automatic Barcode Gap Discovery System, which were consistent with the overlaps of K2P distance. 96.7% as the accurate ratio for COI barcode was calculated and high solution was observed in the phylogenetic trees based on COI gene and Cyt b gene. Except for the similar results based on two genes above, COI barcode was more economical than Cyt b gene. The SOM model successfully predicted characteristic-diagnostic sites at species level: 36 characteristic-diagnostic sites from eight species, in which 12 from Gmnodiptychus pachycgeilus, 2 from Platypharodon extremus, 7 from Ptychobarbus kaznakovi, 2 from Schizopygopsis anteroventris, 2 from Schizopygopsis malacanthus, 3 from Schizopygopsis malacanthus chengi, 3 from Schizothorax dolichonema and 5 from Schizothorax lantsangensis. Our results show that Schizothoracinae fishes can be identified validly by using COI DNA barcode. Thirty-six characteristic-diagnostic sites were proposed to be applied into works of species identification for the Schizothoracinae fishes in Qinghai Province.

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