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David I, Ricard A. An improved transmissibility model to detect transgenerational transmitted environmental effects. Genet Sel Evol 2023; 55:66. [PMID: 37735633 PMCID: PMC10512618 DOI: 10.1186/s12711-023-00833-y] [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: 04/05/2023] [Accepted: 08/24/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Evolutionary studies have reported that non-genetic information can be inherited across generations (epigenetic marks, microbiota, cultural inheritance). Non-genetic information is considered to be a key element to explain the adaptation of wild species to environmental constraints because it lies at the root of the transgenerational transmission of environmental effects. The "transmissibility model" was proposed several years ago to better predict the transmissible potential of each animal by taking these diverse sources of inheritance into account in a global transmissible potential. We propose to improve this model to account for the influence of the environment on the global transmissible potential as well. This extension of the transmissibility model is the "transmissibility model with environment" that considers a covariance between transmissibility samplings of animals sharing the same environment. The null hypothesis of "no transmitted environmental effect" can be tested by comparing the two models using a likelihood ratio test (LRT). RESULTS We performed simulations that mimicked an experimental design consisting of two lines of animals with one exposed to a particular environment at a given generation. This enabled us to evaluate the performances of the transmissibility model with environment so as to detect and quantify transgenerational transmitted environmental effects. The power and the realized type I error of the LRT were compared to those of a T-test comparing the phenotype of the two lines, three generations after the environmental exposure for different sets of parameters. The power of the LRT ranged from 45 to 94%, whereas that of the T-test was always lower than 26%. In addition, the realized type I error of the T-test was 15% and that of the LRT was 5%, as expected. Variances, the covariance between transmissibility samplings, and path coefficients of transmission estimated with the transmissibility model with environment were close to their true values for all sets of parameters. CONCLUSIONS The transmissibility model with environment is effective in modeling vertical transmission of environmental effects.
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Affiliation(s)
- Ingrid David
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, France.
| | - Anne Ricard
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
- Département Recherche et Innovation, Institut Français du Cheval et de l'équitation, 61310, Exmes, France
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David I, Aliakbari A, Déru V, Garreau H, Gilbert H, Ricard A. Inclusive inheritance for residual feed intake in pigs and rabbits. J Anim Breed Genet 2020; 137:535-544. [PMID: 32697021 PMCID: PMC7589229 DOI: 10.1111/jbg.12494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 05/14/2020] [Accepted: 06/13/2020] [Indexed: 01/15/2023]
Abstract
Non‐genetic information (epigenetic, microbiota, behaviour) that results in different phenotypes in animals can be transmitted from one generation to the next and thus is potentially involved in the inheritance of traits. However, in livestock species, animals are selected based on genetic inheritance only. The objective of the present study was to determine whether non‐genetic inherited effects play a role in the inheritance of residual feed intake (RFI) in two species: pigs and rabbits. If so, the path coefficients of the information transmitted from sire and dam to offspring would differ from the expected transmission factor of 0.5 that occurs if inherited information is of genetic origin only. Two pigs (pig1, pig2) and two rabbits (rabbit1, rabbit2) datasets were used in this study (1,603, 3,901, 5,213 and 4,584 records, respectively). The test of the path coefficients to 0.5 was performed for each dataset using likelihood ratio tests (null model: transmissibility model with both path coefficients equal to 0.5, full model: unconstrained transmissibility model). The path coefficients differed significantly from 0.5 for one of the pig datasets (pig2). Although not significant, we observed, as a general trend, that sire path coefficients of transmission were lower than dam path coefficients in three of the datasets (0.46 vs 0.53 for pig1, 0.39 vs 0.44 for pig2 and 0.38 vs 0.50 for rabbit1). These results suggest that phenomena other than genetic sources of inheritance explain the phenotypic resemblance between relatives for RFI, with a higher transmission from the dam's side than from the sire's side.
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Affiliation(s)
- Ingrid David
- GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet Tolosan, France
| | - Amir Aliakbari
- GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet Tolosan, France
| | - Vanille Déru
- GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet Tolosan, France.,France Génétique Porc, Le Rheu Cedex, France
| | - Hervé Garreau
- GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet Tolosan, France
| | - Hélène Gilbert
- GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet Tolosan, France
| | - Anne Ricard
- Département Sciences du Vivant, GABI, INRAE, UMR 1313, AgroParisTech, Université Paris Saclay, Jouy-en-Josas, France.,Département Recherche et Innovation, Institut Français du Cheval et de l'Equitation, Exmes, France
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