Cargando…

Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness

Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inborn) aerobic capacity and differ in risk for comple...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Yu-yu, Overmyer, Katherine A., Qi, Nathan R., Treutelaar, Mary K., Heckenkamp, Lori, Kalahar, Molly, Koch, Lauren G., Britton, Steven L., Burant, Charles F., Li, Jun Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795692/
https://www.ncbi.nlm.nih.gov/pubmed/24147032
http://dx.doi.org/10.1371/journal.pone.0077588
_version_ 1782287414954295296
author Ren, Yu-yu
Overmyer, Katherine A.
Qi, Nathan R.
Treutelaar, Mary K.
Heckenkamp, Lori
Kalahar, Molly
Koch, Lauren G.
Britton, Steven L.
Burant, Charles F.
Li, Jun Z.
author_facet Ren, Yu-yu
Overmyer, Katherine A.
Qi, Nathan R.
Treutelaar, Mary K.
Heckenkamp, Lori
Kalahar, Molly
Koch, Lauren G.
Britton, Steven L.
Burant, Charles F.
Li, Jun Z.
author_sort Ren, Yu-yu
collection PubMed
description Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inborn) aerobic capacity and differ in risk for complex disease traits. Here we conduct the first in-depth pedigree and molecular genetic analysis of these lines, the high capacity runners (HCR) and low capacity runners (LCR). Our results show that both HCR and LCR lines maintain considerable narrow-sense heritability (h(2)) for the running capacity phenotype over 28 generations (h(2) = 0.47 ± 0.02 and 0.43 ± 0.02, respectively). To minimize inbreeding, the lines were maintained by rotational mating. Pedigree records predict that the inbreeding coefficient increases at a rate of <1% per generation, ~37-38% slower than expected for random mating. Genome-wide 10K SNP genotype data for generations 5, 14, and 26 demonstrate substantial genomic evolution: between-line differentiation increased progressively, while within-line diversity deceased. Genome-wide average heterozygosity decreased at a rate of <1% per generation, consistent with pedigree-based predictions and confirming the effectiveness of rotational breeding. Linkage disequilibrium index r(2) decreases to 0.3 at ~3 Mb, suggesting that the resolution for mapping quantitative trait loci (QTL) can be as high as 2-3 cM. To establish a test population for QTL mapping, we conducted an HCR-LCR intercross. Running capacity of the F1 population (n=176) was intermediate of the HCR and LCR parentals (28 pairs); and the F2 population (n=645) showed a wider range of phenotypic distribution. Importantly, heritability in the F0-F2 pedigree remained high (h(2)~0.6). These results suggest that the HCR-LCR lines can serve as a valuable system for studying genomic evolution, and a powerful resource for mapping QTL for a host of characters relevant to human health.
format Online
Article
Text
id pubmed-3795692
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37956922013-10-21 Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness Ren, Yu-yu Overmyer, Katherine A. Qi, Nathan R. Treutelaar, Mary K. Heckenkamp, Lori Kalahar, Molly Koch, Lauren G. Britton, Steven L. Burant, Charles F. Li, Jun Z. PLoS One Research Article Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inborn) aerobic capacity and differ in risk for complex disease traits. Here we conduct the first in-depth pedigree and molecular genetic analysis of these lines, the high capacity runners (HCR) and low capacity runners (LCR). Our results show that both HCR and LCR lines maintain considerable narrow-sense heritability (h(2)) for the running capacity phenotype over 28 generations (h(2) = 0.47 ± 0.02 and 0.43 ± 0.02, respectively). To minimize inbreeding, the lines were maintained by rotational mating. Pedigree records predict that the inbreeding coefficient increases at a rate of <1% per generation, ~37-38% slower than expected for random mating. Genome-wide 10K SNP genotype data for generations 5, 14, and 26 demonstrate substantial genomic evolution: between-line differentiation increased progressively, while within-line diversity deceased. Genome-wide average heterozygosity decreased at a rate of <1% per generation, consistent with pedigree-based predictions and confirming the effectiveness of rotational breeding. Linkage disequilibrium index r(2) decreases to 0.3 at ~3 Mb, suggesting that the resolution for mapping quantitative trait loci (QTL) can be as high as 2-3 cM. To establish a test population for QTL mapping, we conducted an HCR-LCR intercross. Running capacity of the F1 population (n=176) was intermediate of the HCR and LCR parentals (28 pairs); and the F2 population (n=645) showed a wider range of phenotypic distribution. Importantly, heritability in the F0-F2 pedigree remained high (h(2)~0.6). These results suggest that the HCR-LCR lines can serve as a valuable system for studying genomic evolution, and a powerful resource for mapping QTL for a host of characters relevant to human health. Public Library of Science 2013-10-11 /pmc/articles/PMC3795692/ /pubmed/24147032 http://dx.doi.org/10.1371/journal.pone.0077588 Text en © 2013 Ren et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ren, Yu-yu
Overmyer, Katherine A.
Qi, Nathan R.
Treutelaar, Mary K.
Heckenkamp, Lori
Kalahar, Molly
Koch, Lauren G.
Britton, Steven L.
Burant, Charles F.
Li, Jun Z.
Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title_full Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title_fullStr Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title_full_unstemmed Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title_short Genetic Analysis of a Rat Model of Aerobic Capacity and Metabolic Fitness
title_sort genetic analysis of a rat model of aerobic capacity and metabolic fitness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795692/
https://www.ncbi.nlm.nih.gov/pubmed/24147032
http://dx.doi.org/10.1371/journal.pone.0077588
work_keys_str_mv AT renyuyu geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT overmyerkatherinea geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT qinathanr geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT treutelaarmaryk geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT heckenkamplori geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT kalaharmolly geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT kochlaureng geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT brittonstevenl geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT burantcharlesf geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness
AT lijunz geneticanalysisofaratmodelofaerobiccapacityandmetabolicfitness