Antagonistic maternal and direct effects of the leptin receptor gene on body weight in pigs.
Emma SoléRoger Ros-FreixedesMarc TorJosep ReixachRamona Natacha PenaJoan EstanyPublished in: PloS one (2021)
Maternal effects on offspring growth can impact survival and evolution of natural and domesticated populations. Genetic correlation estimates often support a negative relationship between direct and maternal effects. However, the genetic underpinnings whereby this antagonism operates are unclear. In pigs, sow feeding status and body composition condition piglet development and growth. We hypothesized that variants in genes impacting these traits may be causative of maternal influences that could be antagonistic to the direct effects for piglet growth. A recessive missense mutation (C>T) in the porcine leptin receptor (LEPR) gene (rs709596309) has been identified as the possible causal polymorphism for increased feed intake and fatness. Using data from a Duroc line, we show that the TT sows exerted a negative impact on the body weight of their offspring at the end of the growing period of similar extent to the positive direct effect of the TT genotype over each individual. Thus, TT pigs from TT dams were about as heavy as CC and CT (C-) pigs from C-dams, but TT pigs from C-dams were around 5% heavier than C-pigs from TT dams. In contrast, body composition was only influenced by LEPR direct effects. This antagonism is due to a higher propensity of TT pigs for self-maintenance rather than for offspring investment. We show that TT pigs consumed more feed, favored fatty acid uptake over release, and produced lighter piglets at weaning than their C-counterparts. We conclude that LEPR underlies a transgenerational mechanism for energy distribution that allocates resources to the sow or the offspring according to whether selective pressure is exerted before or after weaning.
Keyphrases
- body composition
- body weight
- genome wide
- copy number
- resistance training
- high fat diet
- fatty acid
- birth weight
- computed tomography
- magnetic resonance
- magnetic resonance imaging
- intellectual disability
- genome wide identification
- adipose tissue
- pregnant women
- deep learning
- binding protein
- artificial intelligence
- postmenopausal women
- genome wide analysis