Metabolomics is a multidisciplinary approach that combines several disciplines to characterise metabolomes in terms of the identification and quantification of all detectable metabolites present in a biological sample in a single experimental design or approach. Merging metabolomics with genetics and genomics in livestock provides intermediate phenotypes (or molecular phenotypes) that lie (in the middle) between the genomic space and the external or final phenotypes (e.g., production traits and disease resistance) contributing to understand the biological bases of complex traits. Heritability estimates have defined the extent of the genetic contribution on metabotypes (that are metabolomic-derived phenotypes). Metabotypes can be used to predict final phenotypes. Metabolite-based genomewide association studies carried out in cattle and pigs have identified mQTL on genes or close to genes whose function can directly explain the variability of the level of the corresponding metabolites. Despite the technological limits of the analytical platforms that cannot provide a complete and exhaustive picture of all metabolites present in a biofl uid or tissue, metabolomics provides new traits and biomarkers. Metabolomics might establish next generation phenotyping approaches that are needed to refi ne and improve trait descriptions and, in turn, prediction of the breeding values of the animals to cope with traditional and new objectives of the selection programmes.

Fontanesi, L. (2016). Merging metabolomics, genetics, and genomics in livestock to dissect complex production traits. Cham : Springer International Publishing [10.1007/978-3-319-43335-6_3].

Merging metabolomics, genetics, and genomics in livestock to dissect complex production traits

FONTANESI, LUCA
2016

Abstract

Metabolomics is a multidisciplinary approach that combines several disciplines to characterise metabolomes in terms of the identification and quantification of all detectable metabolites present in a biological sample in a single experimental design or approach. Merging metabolomics with genetics and genomics in livestock provides intermediate phenotypes (or molecular phenotypes) that lie (in the middle) between the genomic space and the external or final phenotypes (e.g., production traits and disease resistance) contributing to understand the biological bases of complex traits. Heritability estimates have defined the extent of the genetic contribution on metabotypes (that are metabolomic-derived phenotypes). Metabotypes can be used to predict final phenotypes. Metabolite-based genomewide association studies carried out in cattle and pigs have identified mQTL on genes or close to genes whose function can directly explain the variability of the level of the corresponding metabolites. Despite the technological limits of the analytical platforms that cannot provide a complete and exhaustive picture of all metabolites present in a biofl uid or tissue, metabolomics provides new traits and biomarkers. Metabolomics might establish next generation phenotyping approaches that are needed to refi ne and improve trait descriptions and, in turn, prediction of the breeding values of the animals to cope with traditional and new objectives of the selection programmes.
2016
Systems Biology in Animal Production and Health, Vol. 1
43
62
Fontanesi, L. (2016). Merging metabolomics, genetics, and genomics in livestock to dissect complex production traits. Cham : Springer International Publishing [10.1007/978-3-319-43335-6_3].
Fontanesi, L.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/590337
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? ND
social impact