1. 上海海洋大学, 农业农村部淡水种质资源重点实验室, 上海 201306;
2. 江苏省淡水水产研究所, 江苏 南京 210017;
3. 盘锦光合蟹业有限公司, 辽宁 盘锦 124200;
4. 上海海洋大学, 水产动物遗传育种上海市协同创新中心, 上海 201306;
5. 上海海洋大学, 水产科学国家级实验教学示范心, 上海 201306
姜晓东(1991-),男,博士研究生,主要从事河蟹养殖技术和良种培育研究.E-mail:310410555@qq.com
S96
国家重点研发计划“蓝色粮仓科技创新”重点专项（c2018YFD0900103；2018YFD0900603）；农业农村部现代农业产业技术体系专项资金项目（CARS-48）；上海市高水平地方高校建设科研项目（A1-2801-18-1003）；深圳市澳华农牧有限公司项目（D-8006-16-0088）.
JIANG Xiaodong
Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, ChinaCHENG Yongxu
Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, ChinaWU Xugan
Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China1. Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China;
2. Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China;
3. Panjin Guanghe Crab Industry Ltd. Co., Panjin 124200, China;
4. Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China;
5. National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China
为鉴别不同地理种群野生中华绒螯蟹（），运用基于地标点法的几何形态测量学方法研究长江、黄河、辽河、瓯江、闽江及图们江中野生中华绒螯蟹头胸甲的形态特征。主要步骤为先通过地标点法提取中华绒螯蟹头胸甲上特征点的坐标值，然后进行相对扭曲主成分分析和判别分析来区分6种群中华绒螯蟹头胸甲，最后利用薄板样条分析和网格变形将头胸甲形态变异矢量可视化。结果表明：（1）主成分散点图显示各群体之间虽有部分重叠，但大体可以形成较为集中的区域；（2）网格变形图显示各群体头胸甲的形态差异主要为额刺和侧刺长度；（3）逐步判别分析中各群体的判别准确率为80%~96%，存在一定的错判风险；（4）聚类分析将6群体中华绒螯蟹聚为两支，其中长江、黄河、瓯江和闽江个体被聚为一支，辽河和图们江个体被聚为另外一支。综上，以头胸甲为研究对象的地标点几何形态测量法是区分不同水系野生中华绒螯蟹的有效手段，但仍需要结合传统形态学测量方及遗传结构分析加以辅助证实。
With the development of statistical and computational technology, landmark-based morphometric analysis has widely been used for species classification and identification in recent years, but it has never been used to identify wild from geographically different basins. Therefore, this research was resized to identify different geographical populations of wild collected from the Tumen River (TR), Liao River (LR), Huang River (HR), Yangtze River (YR), Ou River (OR), and Min River (MR). Landmark-based geometric morphometrics analysis was used to compare the morphological characteristics of their carapaces. The main step was to extract coordinate values of landmark-based points on the carapace, and then perform the relative warp principal component analysis and discriminant analysis to distinguish the 6 wild populations, and finally visualize the morphological variation with thin plate spline analysis and grad distortion. The results showed that:(1) in principal component analysis, wild populations could be divided into 6 relatively independent groups by the first two principal components, though the plots slightly overlapped between different populations; (2) the grad distortion map showed that morphological differences of various populations were mainly manifested in the frontal and lateral spines of the carapace; (3) the discriminative accuracy of various populations in the stepwise discriminant analysis was 80%-96% with a certain risk of misjudgment; (4) cluster analysis showed that YR, HR, OR, and MR individuals clustered independently, whereas TR and LR individuals formed another distinct cluster, whether females or males. In summary, landmark-based morphometrics analysis is an effective means to distinguish wild from different basins, but it still needs to be confirmed by traditional morphometrics analysis and genetic analysis.
姜晓东,成永旭,潘建林,李晓东,吴旭干.基于地标点几何形态测量法区分不同水系野生中华绒螯蟹[J].中国水产科学,2019,26(6):1116-1125
JIANG Xiaodong, CHENG Yongxu, PAN Jianlin, LI Xiaodong, WU Xugan. Landmark-based morphometric identification of wild Eriocheir sinensis with geographically different origins[J]. Journal of Fishery Sciences of China,2019,26(6):1116-1125
