Maria Gracia Luigi-Sierra, Amparo Martínez, Martina Macri, Juan Vicente Delgado, Anna Castelló, Javier Fernández Alvarez, Xavier Such, Jordi Jordana, Marcel Amills
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In both analyses, genome-wide significant QTL for lactose percentage on chromosome 2 (129.77–131.01 Mb) and for milk protein percentage on the chromosome 6 (74.8–94.6 Mb) casein gene cluster region were detected. In <i>Analysis 1</i>, several QTL were not replicated in all three lactations, possibly due to the existence of lactation-specific genetic determinants. In <i>Analysis 2</i>, we identified several genome-wide significant QTL related to milk yield and protein content that were not uncovered in <i>Analysis 1</i>. The increased number of QTL identified in <i>Analysis 2</i> suggests that the longitudinal GWAS is particularly well suited for the genetic analysis of dairy traits. Moreover, our data confirm that variability within or close to the casein complex is the main genetic determinant of milk protein percentage in Murciano-Granadina goats.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/age.13391","citationCount":"0","resultStr":"{\"title\":\"Single and longitudinal genome-wide association studies for dairy traits available in goats with three recorded lactations\",\"authors\":\"Maria Gracia Luigi-Sierra, Amparo Martínez, Martina Macri, Juan Vicente Delgado, Anna Castelló, Javier Fernández Alvarez, Xavier Such, Jordi Jordana, Marcel Amills\",\"doi\":\"10.1111/age.13391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Milk yield and composition phenotypes are systematically recorded across several lactations in goats, but the majority of genome-wide association studies (GWAS) performed so far have rather ignored the longitudinal nature of such data. Here, we have used two different GWAS approaches to analyse data from three lactations recorded in Murciano-Granadina goats. In <i>Analysis 1</i>, independent GWAS have been carried out for each trait and lactation, while a single longitudinal GWAS, jointly considering all data, has been performed in <i>Analysis 2</i>. In both analyses, genome-wide significant QTL for lactose percentage on chromosome 2 (129.77–131.01 Mb) and for milk protein percentage on the chromosome 6 (74.8–94.6 Mb) casein gene cluster region were detected. In <i>Analysis 1</i>, several QTL were not replicated in all three lactations, possibly due to the existence of lactation-specific genetic determinants. In <i>Analysis 2</i>, we identified several genome-wide significant QTL related to milk yield and protein content that were not uncovered in <i>Analysis 1</i>. The increased number of QTL identified in <i>Analysis 2</i> suggests that the longitudinal GWAS is particularly well suited for the genetic analysis of dairy traits. 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Single and longitudinal genome-wide association studies for dairy traits available in goats with three recorded lactations
Milk yield and composition phenotypes are systematically recorded across several lactations in goats, but the majority of genome-wide association studies (GWAS) performed so far have rather ignored the longitudinal nature of such data. Here, we have used two different GWAS approaches to analyse data from three lactations recorded in Murciano-Granadina goats. In Analysis 1, independent GWAS have been carried out for each trait and lactation, while a single longitudinal GWAS, jointly considering all data, has been performed in Analysis 2. In both analyses, genome-wide significant QTL for lactose percentage on chromosome 2 (129.77–131.01 Mb) and for milk protein percentage on the chromosome 6 (74.8–94.6 Mb) casein gene cluster region were detected. In Analysis 1, several QTL were not replicated in all three lactations, possibly due to the existence of lactation-specific genetic determinants. In Analysis 2, we identified several genome-wide significant QTL related to milk yield and protein content that were not uncovered in Analysis 1. The increased number of QTL identified in Analysis 2 suggests that the longitudinal GWAS is particularly well suited for the genetic analysis of dairy traits. Moreover, our data confirm that variability within or close to the casein complex is the main genetic determinant of milk protein percentage in Murciano-Granadina goats.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.