中国畜牧兽医 ›› 2022, Vol. 49 ›› Issue (4): 1430-1437.doi: 10.16431/j.cnki.1671-7236.2022.04.025

• 遗传繁育 • 上一篇    下一篇

拉曼光谱结合支持向量机对猪胞质内单精子显微注射胚胎性别的鉴定分析

孙俊丽1, 孙如玉1, 廖海洪1, 卢健琴1, 严静1, 卢晟盛2, 张冰1   

  1. 1. 广西畜牧研究所, 家畜遗传改良重点实验室, 南宁 530001;
    2. 广西大学农牧产业发展研究院, 南宁 530004
  • 收稿日期:2021-09-24 出版日期:2022-04-05 发布日期:2022-03-25
  • 通讯作者: 卢晟盛, 张冰 E-mail:sslu@gxu.edu.cn;zbcherry@126.com
  • 基金资助:
    广西创新驱动发展专项(桂科AA17204024);广西畜牧研究所项目(桂牧研科2019-02;桂牧研自选2020-24)

Study on Porcine ICSI Embryo Sex Identification Based on Raman Spectroscopy and SVM

SUN Junli1, SUN Ruyu1, LIAO Haihong1, LU Jianqin1, YAN Jing1, LU Shengsheng2, ZHANG Bing1   

  1. 1. Guangxi Key Laboratory for Livestock Genetic Improvement, Guangxi Institute of Animal Science, Nanning 530001, China;
    2. Agri-animal Industrial Development Institute, Guangxi University, Nanning 530004, China
  • Received:2021-09-24 Online:2022-04-05 Published:2022-03-25

摘要: 【目的】 探求一种无损的、非侵入性的、快速的胚胎性别鉴定方法。【方法】 以207个猪卵胞质内单精子显微注射(intracytoplasmic sperm injection,ICSI)胚胎及其培养液为研究对象,单个胚胎经巢式PCR扩增鉴定其性别后随机分成训练集和测试集,同时利用拉曼光谱技术获取单个ICSI胚胎培养液的拉曼光谱。原始光谱经过处理后,采用支持向量机(support vector machine,SVM)算法构建分类模型,先用训练样本进行训练和建模,然后预测测试样本的性别,结合PCR性别鉴定的结果,计算分类准确率。【结果】 通过巢式PCR对207个胚胎进行性别鉴定,鉴定出71个雄性胚胎、128个雌性胚胎,8个样品扩增失败。猪ICSI雄性胚胎培养液在1 082和1 360 cm-1拉曼位移处特征峰强度明显高于雌性胚胎,构建的胚胎性别鉴定模型的分类准确率为81.5%,雌性和雄性胚胎的分类准确率分别为81.3%和81.8%。【结论】 本研究将拉曼光谱技术与SVM法相结合构建了胚胎性别鉴定模型,分类准确率达到81.5%,提供了一种新的、无损的胚胎性别鉴定方法。

关键词: 拉曼光谱; 支持向量机(SVM); 胚胎性别鉴定

Abstract: 【Objective】 The purpose of this study was to establish a non-destructive,non-invasive and rapid method for determining the sex of embryos.【Method】 207 porcine intracytoplasmic sperm injection (ICSI) embryos and their culture medium were used as the research objects.After the sex of a single embryo was identified by nest PCR amplification,it was randomly divided into training set and test set.At the same time,the Raman spectrum of a single ICSI embryo culture medium was obtained by Raman spectroscopy.After the original spectrum was processed,the support vector machine (SVM) algorithm was used to construct the classification model.Firstly,the training samples were used for training and modeling,and then the gender of the test samples was predicted.Combined with the gender identification results of PCR,the classification accuracy was calculated.【Result】 The sex of 207 embryos was indentified by nest PCR, 71 male and 128 female was successfully identified,and 8 samples failed to be amplified.The characteristic peak intensity of porcine ICSI male embryo culture medium at 1 082 and 1 360 cm-1 Raman shifts was significantly higher than that of female embryo’s.The classification accuracy of the constructed embryo sex identification model was 81.5%,and the classification accuracy of female and male embryos were 81.3% and 81.8% respectively.【Conclusion】 The new and non-destructive method of embryo sex identification based on the Raman spectroscopy and SVM algorithm was constructed,and its classification accuracy was 81.5%.

Key words: Raman spectroscopy; support vector machine (SVM); embryo sex identification

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