Isabel Gimeno, Pablo García-Manrique, Susana Carrocera, Cristina López-Hidalgo, Marta Muñoz, Luis Valledor, David Martín-González, Enrique Gómez
{"title":"UHPLC-MS/MS代谢组学技术在培养牛胚胎性别鉴定中的应用","authors":"Isabel Gimeno, Pablo García-Manrique, Susana Carrocera, Cristina López-Hidalgo, Marta Muñoz, Luis Valledor, David Martín-González, Enrique Gómez","doi":"10.1007/s11306-022-01910-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Different gene expression between male and female bovine embryos leads to metabolic differences.</p><p><strong>Objective: </strong>We used UHPLC-MS/MS to identify sex metabolite biomarkers in embryo culture medium (CM).</p><p><strong>Methods: </strong>Embryos were produced in vitro under highly variable conditions, i.e., fertilized with 7 bulls, two breeds, and cultured with BSA or BSA + serum until Day-6. On Day-6, embryos were cultured individually for 24 h. CM of Day-7 embryos (86 female and 81 male) was collected, and Day-6 and Day-7 embryonic stages recorded.</p><p><strong>Results: </strong>A study by sample subsets with fixed factors (culture, bull breed, and Day-6 and Day-7 stages) tentatively identified 31 differentially accumulated metabolites through 182 subsets. Day-6 and Day-7 stage together affected 13 and 11 metabolites respectively, while 19 metabolites were affected by one or another stage and/or day. Culture supplements and individual bull changed 19 and 15 metabolites, respectively. Single bull exerted the highest influence (20 metabolites with the significantly highest p values). Lipid (93 subsets; 11 metabolites) and amino acid (55 subsets; 13 metabolites) were the most relevant classes for sex identification.</p><p><strong>Conclusions: </strong>Single biomarker led to inefficient sex diagnosis, while metabolite combinations accurately identified sex. Our study is a first in non-invasive sex identification in cattle by overcoming factors that induce metabolic variation.</p>","PeriodicalId":144887,"journal":{"name":"Metabolomics : Official journal of the Metabolomic Society","volume":" ","pages":"53"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-Invasive Identification of Sex in Cultured Bovine Embryos by UHPLC-MS/MS Metabolomics.\",\"authors\":\"Isabel Gimeno, Pablo García-Manrique, Susana Carrocera, Cristina López-Hidalgo, Marta Muñoz, Luis Valledor, David Martín-González, Enrique Gómez\",\"doi\":\"10.1007/s11306-022-01910-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Different gene expression between male and female bovine embryos leads to metabolic differences.</p><p><strong>Objective: </strong>We used UHPLC-MS/MS to identify sex metabolite biomarkers in embryo culture medium (CM).</p><p><strong>Methods: </strong>Embryos were produced in vitro under highly variable conditions, i.e., fertilized with 7 bulls, two breeds, and cultured with BSA or BSA + serum until Day-6. On Day-6, embryos were cultured individually for 24 h. CM of Day-7 embryos (86 female and 81 male) was collected, and Day-6 and Day-7 embryonic stages recorded.</p><p><strong>Results: </strong>A study by sample subsets with fixed factors (culture, bull breed, and Day-6 and Day-7 stages) tentatively identified 31 differentially accumulated metabolites through 182 subsets. Day-6 and Day-7 stage together affected 13 and 11 metabolites respectively, while 19 metabolites were affected by one or another stage and/or day. Culture supplements and individual bull changed 19 and 15 metabolites, respectively. Single bull exerted the highest influence (20 metabolites with the significantly highest p values). Lipid (93 subsets; 11 metabolites) and amino acid (55 subsets; 13 metabolites) were the most relevant classes for sex identification.</p><p><strong>Conclusions: </strong>Single biomarker led to inefficient sex diagnosis, while metabolite combinations accurately identified sex. Our study is a first in non-invasive sex identification in cattle by overcoming factors that induce metabolic variation.</p>\",\"PeriodicalId\":144887,\"journal\":{\"name\":\"Metabolomics : Official journal of the Metabolomic Society\",\"volume\":\" \",\"pages\":\"53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metabolomics : Official journal of the Metabolomic Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11306-022-01910-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolomics : Official journal of the Metabolomic Society","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11306-022-01910-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Invasive Identification of Sex in Cultured Bovine Embryos by UHPLC-MS/MS Metabolomics.
Introduction: Different gene expression between male and female bovine embryos leads to metabolic differences.
Objective: We used UHPLC-MS/MS to identify sex metabolite biomarkers in embryo culture medium (CM).
Methods: Embryos were produced in vitro under highly variable conditions, i.e., fertilized with 7 bulls, two breeds, and cultured with BSA or BSA + serum until Day-6. On Day-6, embryos were cultured individually for 24 h. CM of Day-7 embryos (86 female and 81 male) was collected, and Day-6 and Day-7 embryonic stages recorded.
Results: A study by sample subsets with fixed factors (culture, bull breed, and Day-6 and Day-7 stages) tentatively identified 31 differentially accumulated metabolites through 182 subsets. Day-6 and Day-7 stage together affected 13 and 11 metabolites respectively, while 19 metabolites were affected by one or another stage and/or day. Culture supplements and individual bull changed 19 and 15 metabolites, respectively. Single bull exerted the highest influence (20 metabolites with the significantly highest p values). Lipid (93 subsets; 11 metabolites) and amino acid (55 subsets; 13 metabolites) were the most relevant classes for sex identification.
Conclusions: Single biomarker led to inefficient sex diagnosis, while metabolite combinations accurately identified sex. Our study is a first in non-invasive sex identification in cattle by overcoming factors that induce metabolic variation.