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Genetic Architecture of Nest Building in Mice LG/J × SM/J

Overview of attention for article published in Frontiers in Genetics, January 2012
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Title
Genetic Architecture of Nest Building in Mice LG/J × SM/J
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00090
Pubmed ID
Authors

Bruno Sauce, Reinaldo Alves de Brito, Andrea Cristina Peripato

Abstract

Maternal care is critical to offspring growth and survival, which is greatly improved by building an effective nest. Some suggest that genetic variation and underlying genetic effects differ between fitness-related traits and other phenotypes. We investigated the genetic architecture of a fitness-related trait, nest building, in F(2) female mice intercrossed from inbred strains SM/J and LG/J using a QTL analysis for six related nest phenotypes (Presence and Structure pre- and postpartum, prepartum Material Used and postpartum Temperature). We found 15 direct-effect QTLs explaining from 4 to 13% of the phenotypic variation in nest building, mostly with non-additive effect. Epistatic analyses revealed 71 significant epistatic interactions which together explain from 28.4 to 75.5% of the variation, indicating an important role for epistasis in the adaptive process of nest building behavior in mice. Our results suggest a genetic architecture with small direct effects and a larger number of epistatic interactions as expected for fitness-related phenotypes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Student > Master 4 17%
Researcher 4 17%
Student > Bachelor 3 13%
Other 2 9%
Other 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 61%
Biochemistry, Genetics and Molecular Biology 3 13%
Medicine and Dentistry 2 9%
Psychology 2 9%
Arts and Humanities 1 4%
Other 0 0%
Unknown 1 4%