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PMID: 17483418 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Centimorgan-range one-step mapping of fertility traits using interspecific recombinant congenic mice.

Genetics ·Vol. 176 ·No. 3 ·2007-07-00 ·Pages 1907-21

L'Hôte D, Serres C, Laissue P, Oulmouden A, Rogel-Gaillard C, Montagutelli X, Vaiman D

Abstract

In mammals, male fertility is a quantitative feature determined by numerous genes. Until now, several wide chromosomal regions involved in fertility have been defined by genetic mapping approaches; unfortunately, the underlying genes are very difficult to identify. Here, 53 interspecific recombinant congenic mouse strains (IRCSs) bearing 1-2% SEG/Pas (Mus spretus) genomic fragments disseminated in a C57Bl/6J (Mus domesticus) background were used to systematically analyze male fertility parameters. One of the most prominent advantages of this model is the possibility of analyzing stable phenotypes in living animals. Here, we demonstrate the possibility in one-step fine mapping for several fertility traits. Focusing on strains harboring a unique spretus fragment, we could unambiguously localize two testis and one prostate weight-regulating QTL (Ltw1, Ltw2, and Lpw1), four QTL controlling the sperm nucleus shape (Sh1, Sh2, Sh3, and Sh4), and one QTL influencing sperm survival (Dss1). In several cases, the spretus DNA fragment was small enough to propose sound candidates. For instance, Spata1, Capza, and Tuba7 are very strong candidates for influencing the shape of the sperm head. Identifying new genes implied in mammalian fertility pathways is a necessary prerequisite for clarifying their molecular grounds and for proposing diagnostic tools for masculine infertilities.

MeSH Terms
Animals Chromosome Mapping Fertility/genetics Infertility, Male/diagnosis,genetics Male Mice Mice, Congenic Quantitative Trait Loci
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
L'Hôte David
Equipe 21, Génomique et Epigénetique des Pathologies Placentaires, Unité INSERM 567/UMR CNRS 8104-Université Paris, Paris, France.
Serres Catherine
Laissue Paul
Oulmouden Ahmad
Rogel-Gaillard Claire
Montagutelli Xavier
Vaiman Daniel
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
DOI
10.1534/genetics.107.072157
Published
2007-07-00
Epub
2007-00-04
Pages
1907-21
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1931527
Subset
IM
External Links
PubMed source DOI: 10.1534/genetics.107.072157 PMC Full Text View journal details
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