000118721 001__ 118721
000118721 005__ 20240319081011.0
000118721 0247_ $$2doi$$a10.1186/s12711-022-00738-2
000118721 0248_ $$2sideral$$a129688
000118721 037__ $$aART-2022-129688
000118721 041__ $$aeng
000118721 100__ $$aVelasco-Galilea, M.
000118721 245__ $$aUse of Bayes factors to evaluate the effects of host genetics, litter and cage on the rabbit cecal microbiota
000118721 260__ $$c2022
000118721 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118721 5203_ $$aBackground: The rabbit cecum hosts and interacts with a complex microbial ecosystem that contributes to the variation of traits of economic interest. Although the influence of host genetics on microbial diversity and specific microbial taxa has been studied in several species (e.g., humans, pigs, or cattle), it has not been investigated in rabbits. Using a Bayes factor approach, the aim of this study was to dissect the effects of host genetics, litter and cage on 984 microbial traits that are representative of the rabbit microbiota. Results: Analysis of 16S rDNA sequences of cecal microbiota from 425 rabbits resulted in the relative abundances of 29 genera, 951 operational taxonomic units (OTU), and four microbial alpha-diversity indices. Each of these microbial traits was adjusted with mixed linear and zero-inflated Poisson (ZIP) models, which all included additive genetic, litter and cage effects, and body weight at weaning and batch as systematic factors. The marginal posterior distributions of the model parameters were estimated using MCMC Bayesian procedures. The deviance information criterion (DIC) was used for model comparison regarding the statistical distribution of the data (normal or ZIP), and the Bayes factor was computed as a measure of the strength of evidence in favor of the host genetics, litter, and cage effects on microbial traits. According to DIC, all microbial traits were better adjusted with the linear model except for the OTU present in less than 10% of the animals, and for 25 of the 43 OTU with a frequency between 10 and 25%. On a global scale, the Bayes factor revealed substantial evidence in favor of the genetic control of the number of observed OTU and Shannon indices. At the taxon-specific level, significant proportions of the OTU and relative abundances of genera were influenced by additive genetic, litter, and cage effects. Several members of the genera Bacteroides and Parabacteroides were strongly influenced by the host genetics and nursing environment, whereas the family S24-7 and the genus Ruminococcus were strongly influenced by cage effects. Conclusions: This study demonstrates that host genetics shapes the overall rabbit cecal microbial diversity and that a significant proportion of the taxa is influenced either by host genetics or environmental factors, such as litter and/or cage. © 2022, The Author(s).
000118721 536__ $$9info:eu-repo/grantAgreement/EC/H2020/633531/EU/Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems/Feed-a-Gene$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 633531-Feed-a-Gene$$9info:eu-repo/grantAgreement/ES/INIA-FEDER/RTA2011-00064-00-00$$9info:eu-repo/grantAgreement/ES/MICINN/CEX2019-000902-S$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-108829RB-I00/AEI/10.13039/501100011033$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-097610R-I00$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027244-I
000118721 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118721 590__ $$a4.1$$b2022
000118721 592__ $$a1.027$$b2022
000118721 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b5 / 62 = 0.081$$c2022$$dQ1$$eT1
000118721 593__ $$aAnimal Science and Zoology$$c2022$$dQ1
000118721 591__ $$aGENETICS & HEREDITY$$b44 / 171 = 0.257$$c2022$$dQ2$$eT1
000118721 593__ $$aMedicine (miscellaneous)$$c2022$$dQ1
000118721 593__ $$aEcology, Evolution, Behavior and Systematics$$c2022$$dQ1
000118721 593__ $$aGenetics$$c2022$$dQ2
000118721 594__ $$a6.8$$b2022
000118721 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118721 700__ $$aPiles, M.
000118721 700__ $$aRamayo-Caldas, Y.
000118721 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, L.$$uUniversidad de Zaragoza
000118721 700__ $$aSánchez, J. P.
000118721 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000118721 773__ $$g54 (2022), 46 - [15 pp]$$pGenet. sel. evol.$$tGenetics Selection Evolution$$x0999-193X
000118721 8564_ $$s1682947$$uhttps://zaguan.unizar.es/record/118721/files/texto_completo.pdf$$yVersión publicada
000118721 8564_ $$s2478308$$uhttps://zaguan.unizar.es/record/118721/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118721 909CO $$ooai:zaguan.unizar.es:118721$$particulos$$pdriver
000118721 951__ $$a2024-03-18-15:06:29
000118721 980__ $$aARTICLE