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Genomic characterization of the world's longest selection experiment in mouse reveals the complexity of polygenic traits

  • Background Long-term selection experiments are a powerful tool to understand the genetic background of complex traits. The longest of such experiments has been conducted in the Research Institute for Farm Animal Biology (FBN), generating extreme mouse lines with increased fertility, body mass, protein mass and endurance. For >140 generations, these lines have been maintained alongside an unselected control line, representing a valuable resource for understanding the genetic basis of polygenic traits. However, their history and genomes have not been reported in a comprehensive manner yet. Therefore, the aim of this study is to provide a summary of the breeding history and phenotypic traits of these lines along with their genomic characteristics. We further attempt to decipher the effects of the observed line-specific patterns of genetic variation on each of the selected traits. Results Over the course of >140 generations, selection on the control line has given rise to two extremely fertile lines (>20 pups per litter each), twoBackground Long-term selection experiments are a powerful tool to understand the genetic background of complex traits. The longest of such experiments has been conducted in the Research Institute for Farm Animal Biology (FBN), generating extreme mouse lines with increased fertility, body mass, protein mass and endurance. For >140 generations, these lines have been maintained alongside an unselected control line, representing a valuable resource for understanding the genetic basis of polygenic traits. However, their history and genomes have not been reported in a comprehensive manner yet. Therefore, the aim of this study is to provide a summary of the breeding history and phenotypic traits of these lines along with their genomic characteristics. We further attempt to decipher the effects of the observed line-specific patterns of genetic variation on each of the selected traits. Results Over the course of >140 generations, selection on the control line has given rise to two extremely fertile lines (>20 pups per litter each), two giant growth lines (one lean, one obese) and one long-distance running line. Whole genome sequencing analysis on 25 animals per line revealed line-specific patterns of genetic variation among lines, as well as high levels of homozygosity within lines. This high degree of distinctiveness results from the combined effects of long-term continuous selection, genetic drift, population bottleneck and isolation. Detection of line-specific patterns of genetic differentiation and structural variation revealed multiple candidate genes behind the improvement of the selected traits. Conclusions The genomes of the Dummerstorf trait-selected mouse lines display distinct patterns of genomic variation harbouring multiple trait-relevant genes. Low levels of within-line genetic diversity indicate that many of the beneficial alleles have arrived to fixation alongside with neutral alleles. This study represents the first step in deciphering the influence of selection and neutral evolutionary forces on the genomes of these extreme mouse lines and depicts the genetic complexity underlying polygenic traits.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Sergio E. Palma-VeraORCiD, Henry Reyer, Martina Langhammer, Norbert Reinsch, Lorena Derezanin, Jörns FickelORCiDGND, Saber Qanbari, Joachim M. Weitzel, Soeren Franzenburg, Georg Hemmrich-Stanisak, Jennifer SchönGND
DOI:https://doi.org/10.1186/s12915-022-01248-9
ISSN:1741-7007
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/35189878
Titel des übergeordneten Werks (Englisch):BMC Biology
Verlag:BMC
Verlagsort:London
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:21.02.2022
Erscheinungsjahr:2022
Datum der Freischaltung:01.02.2024
Freies Schlagwort / Tag:Body mass; Bottleneck; Endurance; Fertility; Genetic; Mouse; Selective breeding; Single-nucleotide; Structural variation; Whole genome sequencing; drift; polymorphism
Band:20
Ausgabe:1
Aufsatznummer:52
Seitenanzahl:20
Fördernde Institution:Leibniz Collaborative Excellence programme [K52/2017]; DFG [407495230,; 423957469]; Projekt DEAL
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Publikationsweg:Open Access / Gold Open-Access
DOAJ gelistet
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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