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Besnard F, Guintard A, Grohs C, Guzylack-Piriou L, Cano M, Escouflaire C, Hozé C, Leclerc H, Buronfosse T, Dutheil L, Jourdain J, Barbat A, Fritz S, Deloche MC, Remot A, Gaussères B, Clément A, Bouchier M, Contat E, Relun A, Plassard V, Rivière J, Péchoux C, Vilotte M, Eche C, Kuchly C, Charles M, Boulling A, Viard G, Minéry S, Barbey S, Birbes C, Danchin-Burge C, Launay F, Mattalia S, Allais-Bonnet A, Ravary B, Millemann Y, Guatteo R, Klopp C, Gaspin C, Iampietro C, Donnadieu C, Milan D, Arcangioli MA, Boussaha M, Foucras G, Boichard D, Capitan A. Massive detection of cryptic recessive genetic defects in dairy cattle mining millions of life histories. Genome Biol 2024; 25:248. [PMID: 39343954 PMCID: PMC11441225 DOI: 10.1186/s13059-024-03384-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 08/30/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Dairy cattle breeds are populations of limited effective size, subject to recurrent outbreaks of recessive defects that are commonly studied using positional cloning. However, this strategy, based on the observation of animals with characteristic features, may overlook a number of conditions, such as immune or metabolic genetic disorders, which may be confused with pathologies of environmental etiology. RESULTS We present a data mining framework specifically designed to detect recessive defects in livestock that have been previously missed due to a lack of specific signs, incomplete penetrance, or incomplete linkage disequilibrium. This approach leverages the massive data generated by genomic selection. Its basic principle is to compare the observed and expected numbers of homozygotes for sliding haplotypes in animals with different life histories. Within three cattle breeds, we report 33 new loci responsible for increased risk of juvenile mortality and present a series of validations based on large-scale genotyping, clinical examination, and functional studies for candidate variants affecting the NOA1, RFC5, and ITGB7 genes. In particular, we describe disorders associated with NOA1 and RFC5 mutations for the first time in vertebrates. CONCLUSIONS The discovery of these many new defects will help to characterize the genetic basis of inbreeding depression, while their management will improve animal welfare and reduce losses to the industry.
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Affiliation(s)
- Florian Besnard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
- IDELE, 149 Rue de Bercy, 75012, Paris, France.
| | - Ana Guintard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Cécile Grohs
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | | | - Margarita Cano
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Clémentine Escouflaire
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Chris Hozé
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Hélène Leclerc
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | | | - Lucie Dutheil
- IHAP, Université de Toulouse, INRAE, ENVT, 31076, Toulouse, France
| | - Jeanlin Jourdain
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Anne Barbat
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Sébastien Fritz
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Marie-Christine Deloche
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- ELIANCE, 75012, Paris, France
| | - Aude Remot
- INRAE, Université de Tours, ISP, 37380, Nouzilly, France
| | | | - Adèle Clément
- IHAP, Université de Toulouse, INRAE, ENVT, 31076, Toulouse, France
| | - Marion Bouchier
- VetAgro Sup, Université Lyon1, 69280, Marcy-L'Etoile, France
| | - Elise Contat
- VetAgro Sup, Université Lyon1, 69280, Marcy-L'Etoile, France
| | - Anne Relun
- Oniris, INRAE, BIOEPAR, 44300, Nantes, France
| | | | - Julie Rivière
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
- Université Paris-Saclay, INRAE, AgroParisTech, MICALIS, 78350, Jouy-en-Josas, France
| | - Christine Péchoux
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Marthe Vilotte
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Camille Eche
- INRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, 31320, Castanet-Tolosan, France
| | - Claire Kuchly
- INRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, 31320, Castanet-Tolosan, France
| | - Mathieu Charles
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Arnaud Boulling
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Guillaume Viard
- ELIANCE, 75012, Paris, France
- Université Paris-Saclay, INRAE, Ecole Nationale Vétérinaire d'Alfort, BREED, 78350, Jouy-en-Josas, France
| | | | - Sarah Barbey
- UE326, Unité Expérimentale du Pin, INRAE, 61310, Le Pin Au Haras, France
| | - Clément Birbes
- Université Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics Facility, 31320, Castanet-Tolosan, France
| | | | - Frédéric Launay
- UE326, Unité Expérimentale du Pin, INRAE, 61310, Le Pin Au Haras, France
| | | | - Aurélie Allais-Bonnet
- ELIANCE, 75012, Paris, France
- Université Paris-Saclay, INRAE, Ecole Nationale Vétérinaire d'Alfort, BREED, 78350, Jouy-en-Josas, France
| | | | | | | | - Christophe Klopp
- Université Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics Facility, 31320, Castanet-Tolosan, France
| | - Christine Gaspin
- Université Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics Facility, 31320, Castanet-Tolosan, France
| | - Carole Iampietro
- INRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, 31320, Castanet-Tolosan, France
| | - Cécile Donnadieu
- INRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, 31320, Castanet-Tolosan, France
| | - Denis Milan
- GenPhySE, Université Fédérale de Toulouse, INRAE, INPT, ENVT, 31320, Castanet-Tolosan, France
| | | | - Mekki Boussaha
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Gilles Foucras
- IHAP, Université de Toulouse, INRAE, ENVT, 31076, Toulouse, France
| | - Didier Boichard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Aurélien Capitan
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
- ELIANCE, 75012, Paris, France.
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Corbeau J, Grohs C, Jourdain J, Boussaha M, Besnard F, Barbat A, Plassard V, Rivière J, Hamelin C, Mortier J, Boichard D, Guatteo R, Capitan A. A recurrent de novo missense mutation in COL1A1 causes osteogenesis imperfecta type II and preterm delivery in Normande cattle. Genet Sel Evol 2024; 56:39. [PMID: 38773368 PMCID: PMC11107018 DOI: 10.1186/s12711-024-00909-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/07/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Nine male and eight female calves born to a Normande artificial insemination bull named "Ly" were referred to the French National Observatory of Bovine Abnormalities for multiple fractures, shortened gestation, and stillbirth or perinatal mortality. RESULTS Using Illumina BovineSNP50 array genotypes from affected calves and 84 half-sib controls, the associated locus was mapped to a 6.5-Mb interval on chromosome 19, assuming autosomal inheritance with germline mosaicism. Subsequent comparison of the whole-genome sequences of one case and 5116 control genomes, followed by genotyping in the affected pedigree, identified a de novo missense substitution within the NC1 domain of the COL1A1 gene (Chr19 g.36,473,965G > A; p.D1412N) as unique candidate variant. Interestingly, the affected residue was completely conserved among 243 vertebrate orthologs, and the same substitution in humans has been reported to cause type II osteogenesis imperfecta (OI), a connective tissue disorder that is characterized primarily by bone deformity and fragility. Moreover, three COL1A1 mutations have been described to cause the same syndrome in cattle. Necropsy, computed tomography, radiology, and histology confirmed the diagnosis of type II OI, further supporting the causality of this variant. In addition, a detailed analysis of gestation length and perinatal mortality in 1387 offspring of Ly and more than 160,000 progeny of 63 control bulls allowed us to statistically confirm in a large pedigree the association between type II OI and preterm delivery, which is probably due to premature rupture of fetal membranes and has been reported in several isolated cases of type II OI in humans and cattle. Finally, analysis of perinatal mortality rates and segregation distortion supported a low level of germ cell mosaicism in Ly, with an estimate of 4.5% to 7.7% of mutant sperm and thus 63 to 107 affected calves born. These numbers contrast with the 17 cases reported and raise concerns about the underreporting of congenital defects to heredo-surveillance platforms, even for textbook genetic syndromes. CONCLUSIONS In conclusion, we describe a large animal model for a recurrent substitution in COL1A1 that is responsible for type II OI in humans. More generally, this study highlights the utility of such datasets and large half-sib families available in livestock species to characterize sporadic genetic defects.
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Affiliation(s)
- Julien Corbeau
- BioEpAR, INRAE, Oniris, CS, 40706, Nantes, France.
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France.
| | - Cécile Grohs
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France.
| | | | - Mekki Boussaha
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
| | | | - Anne Barbat
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
| | | | - Julie Rivière
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
- INRAE, AgroParisTech, MICALIS, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | | | - Jeremy Mortier
- Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France
| | - Didier Boichard
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
| | | | - Aurélien Capitan
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France.
- ELIANCE, 75012, Paris, France.
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Cortellari M, Bionda A, Liotta L, Sbarra F, Parma P, Crepaldi P. Identification of a common haplotype in carriers of rob(1;29) in 32 Italian cattle breeds. Sci Rep 2024; 14:2057. [PMID: 38267480 PMCID: PMC10808231 DOI: 10.1038/s41598-023-46341-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 10/31/2023] [Indexed: 01/26/2024] Open
Abstract
Robertsonian translocation 1;29 (rob(1;29)), a widespread chromosomal anomaly affecting cattle fertility, appears to have originated from a common ancestor. This study utilizes routine SNP data to investigate the chromosomal region associated with rob(1;29) and confirm the presence of a shared haplotype among carriers in diverse Italian breeds. Three datasets were employed: Dataset 1 included 151 subjects from 5 beef cattle breeds genotyped with the GGP Bovine 33 k SNP chip; Dataset 2 encompassed 800 subjects from 32 Italian breeds genotyped with the Illumina 50 k SNP chip, sourced from the BOVITA dataset; Dataset 3 combined Dataset 2 with 21 karyologically tested subjects from breeds with a high carrier frequency, genotyped using the Affymetrix 65 K SNP chip. FST analysis pinpointed a distinctive genomic region on the first six Mb of BTA29, the centromeric region involved in the translocation. Haplotype comparisons within this non-recombining region revealed a common haplotype shared among all carriers, supporting the theory of a common ancestor. Principal component and haplotype analysis allowed clear differentiation of rob(1;29) homozygous and heterozygous carriers. Expanding to Dataset 2 revealed rob(1;29) carriers in unexpected breeds, all sharing the same ancestral haplotype. Notably, previously untested breeds, including Cinisara, exhibited a high carrier prevalence (nearly 50%), confirmed by karyological analysis. This study validates the presence of a shared haplotype among all identified rob(1;29) carriers, reinforcing the common ancestor theory as the origin of this translocation's spread throughout the cattle population. Furthermore, it underscores the potential of SNP data analysis as a rapid, accurate, and cost-effective tool for broad rob(1;29) screening, given the translocation's consistent nature across all analyzed breeds.
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Affiliation(s)
- Matteo Cortellari
- Dipartimento di Scienze Agrarie e Ambientali-Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133, Milan, Italy
| | - Arianna Bionda
- Dipartimento di Scienze Agrarie e Ambientali-Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133, Milan, Italy.
| | - Luigi Liotta
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168, Messina, Italy
| | - Fiorella Sbarra
- National Association of Italian Beef-Cattle Breeders (ANABIC), 06132, San Martino in Colle, Perugia, Italy
| | - Pietro Parma
- Dipartimento di Scienze Agrarie e Ambientali-Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133, Milan, Italy
| | - Paola Crepaldi
- Dipartimento di Scienze Agrarie e Ambientali-Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133, Milan, Italy
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