Effect of reproduction on the consistency of the between-line type divergence in laboratory mice selected on Basal metabolic rate

Autor:	Andrzej K. Gębczyński, Marek Konarzewski, Julita Sadowska
Rok vydání:	2015
Předmět:	Physiology media_common.quotation_subject Biology Kidney Biochemistry Divergence Mice Consistency (statistics) Intestine Small medicine Animals Selection Genetic media_common Genetics Reproduction Body Weight Heart Organ Size Phenotype Adaptation Physiological Small intestine medicine.anatomical_structure Liver Basal metabolic rate Trait Animal Science and Zoology Female Basal Metabolism
Zdroj:	Physiological and biochemical zoology : PBZ. 88(3)
ISSN:	1537-5293
Popis:	Artificial selection experiments are an effective tool for testing evolutionary hypotheses, because they allow one to separate genetic and environmental variances of the phenotype. However, it is unclear whether trait divergence typically selected early in life persists over an animal's life and altered physiological states, such as reproduction. Here we analyzed the long-term consistency of the between-line type divergence in basal metabolic rate (BMR) selected at 12 wk of age in laboratory mice. We measured BMR in nonreproducing and reproducing females at the age of 22 wk and then at 27 wk of age. Our results show that within both the reproducing group and the control group, the between-line type separation in BMR is consistently retained over time and reproductive status. Metabolically active internal organs (heart, liver, kidneys, and small intestine) also consistently differed in size between the two line types with no significant long-term effect of reproduction. The observed consistency of the between-line type divergence in BMR suggests the existence of the persistent effect of the selection on metabolic traits applied early in life. Moreover, BMR variation achieved by means of artificial selection is considerably higher than that found in natural/unmanipulated populations. The latter may therefore be characterized by insufficient variance to statistically resolve correlations involving BMR.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2829d7fbcf132dda1d64ab3021cc3e8f https://pubmed.ncbi.nlm.nih.gov/25860830 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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