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BACKGROUND: Porcine Reproductive and Respiratory Syndrome (PRRS) is one of the most challenging viral diseases that cause substantial economic losses in the pig industry worldwide. The clinical signs of PRRS depend on, among others, the immunomodulatory properties of the PRRS virus strain, farm health status, herd immunity, and host genetics. The high virulence and mutation rate of PRRS virus limit the efficacy of vaccination programs. In recent years, several candidate genetic markers associated with PRRS resilience have been identified, and selective breeding was suggested as an additional approach to control PRRS under field conditions. Even so, it is essential to investigate the effects of these genetic markers on pigs' productivity. Our study aimed to assess the association between seven previously reported candidate genetic markers for host response to PRRS (rs80800372 in GBP1, rs340943904 in GBP5, rs322187731 in GBP6, rs1107556229 in CD163, rs338508371 in SGK1, rs80928141 in TAP1, and a 275-bp insertion in the promoter of MX1) and production traits in pigs under non-challenging conditions. RESULTS: About 600 high-health Duroc pigs were genotyped for the selected genetic markers and their effects on production traits (live body weight, carcass weight, backfat thickness, intramuscular fat content and composition) were assessed using a linear model. The genetic markers GBP5_rs340943904, GBP6_rs322187731, CD163_rs1107556229, and the 275-bp insertion at the promoter of MX1 showed no relevant associations with growth and carcass traits at slaughter. Regarding GBP1_rs80800372 (WUR1000125), the favourable G allele for PRRS resilience displayed significant additive effects on backfat thickness (+ 1.18 ± 0.42 mm; p = 0.005) and lean content (-1.72 ± 0.56%; p ≤ 0.01) at slaughter. In addition, the genetic markers SGK1_rs338508371 and TAP1_rs8092814 were associated with the palmitoleic content in gluteus medius, without affecting the total of the monounsaturated fatty acids. CONCLUSIONS: Our results indicate that genetic markers for PRRS resilience have no relevant effects on growth and carcass traits in pigs reared under non-challenging conditions, except for GBP1_rs80800372 where the favourable allele for PRRS response has a negative impact on lean content. Therefore, since the effects of GBP1_rs80800372 were attributed to the causal variant GBP5_rs340943904, it seems beneficial to select pigs for the genetic marker at GBP5 instead of GBP1. Overall, pigs might be selected for enhanced PRRS resilience without compromising their overall productivity.
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The current work aimed to identify genomic regions and candidate genes associated with resilience in pigs. In previous work, we proposed the body weight deviation from the expected growth curve (ΔBW) and the increase of the positive acute-phase protein haptoglobin (ΔHP) after a vaccine challenge as resilience indicators which may be improved through selective breeding in pigs. Individuals with steady growth rate and minor activation of haptoglobin (high ΔBW and low ΔHP values) were considered resilient. In contrast, pigs with perturbed growth rate and high activation of haptoglobin (low ΔBW and high ΔHP values) were considered susceptible. Both ∆BW and ∆HP were simultaneously considered to select the most resilient (N = 40) and susceptible (N = 40) pigs. A genome-wide association study was carried out for the pigs' response classification to the challenge test using whole-genome sequence data (7,760,720 variants). Eleven associated genomic regions were identified, harbouring relevant candidate genes related to the immune response (such as pro- and anti-inflammatory responses) and growth pathways. These associated genomic regions harboured 41 potential functional mutations (frameshift, splice donor, splice acceptor, start loss and stop loss/gain) in candidate genes. Overall, this study advances our knowledge about the genetic determinism of resilience, highlighting its polygenic nature and strong relationship with immunity and growth.
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Dissecting genetic variation of local breeds is important for the success of conservation. In this research, we investigated the genomic variation of Colombian Creole (CR) pigs, with a focus on the breed-specific variants in the exonic region of 34 genes with reported effects on adaptive and economic traits. Seven individuals of each of the three CR breeds (CM, Casco de Mula; SP, San Pedreño; and ZU, Zungo) were whole-genome sequenced along with 7 Iberian (IB) pigs and 7 pigs of each of the four most used cosmopolitan (CP) breeds (Duroc, Landrace × Large White, and Pietrain). Molecular variability in CR (6,451,218 variants; from 3,919,242, in SP, to 4,648,069, in CM) was comparable to that in CP, but higher than in IB. For the investigated genes, SP pigs displayed less exonic variants (178) than ZU (254), CM (263), IB (200), and the individual CP genetic types (201 to 335). Sequence variation in these genes confirmed the resemblance of CR to IB and indicates that CR pigs, particularly ZU and CM, are not exempt from selective introgression of other breeds. A total of 50 exonic variants were identified as being potentially specific to CR, including a high-impact deletion in the intron between exons 15 and 16 of the leptin receptor gene, which was only found in CM and ZU. The identification of breed-specific variants in genes related to adaptive and economical traits can bolster the understanding of the role of gene-environment interactions on local adaptation and points the way for effective breeding and conservation of CR pigs.
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Aclimatação , Genoma , Suínos , Animais , Colômbia , Fenótipo , GenômicaRESUMO
BACKGROUND: There is a growing interest to decipher the genetic background of resilience and its possible improvement through selective breeding. The objective of the present study was to provide new insights into the genetic make-up of resilience in growing pigs by identifying genomic regions and candidate genes associated with resilience indicators. Commercial Duroc pigs were challenged with an attenuated Aujeszky vaccine at 12 weeks of age. Two resilience indicators were used: deviation from the expected body weight at 16 weeks of age given the growth curve of non-vaccinated pigs (∆BW) and the increase in acute-phase protein haptoglobin at four days post-vaccination (∆HP). Genome-wide association analyses were carried out on 445 pigs, using genotypes at 41,165 single nucleotide polymorphisms (SNPs) and single-marker and Bayesian multiple-marker regression approaches. RESULTS: Genomic regions on pig chromosomes 2, 8, 9, 11 (∆BW) and 8, 9, 13 (∆HP) were found to be associated with the resilience indicators and explained high proportions of their genetic variance. The genomic regions that were associated explained 27 and 5% of the genetic variance of ∆BW and ∆HP, respectively. These genomic regions harbour promising candidate genes that are involved in pathways related to immune response, response to stress, or signal transduction (CD6, PTGDR2, IKZF1, RNASEL and MYD88), and growth (GRB10 and LCORL). CONCLUSIONS: Our study identified novel genomic regions that are associated with two resilience indicators (∆BW and ∆HP) in pigs. These associated genomic regions harbour potential candidate genes involved in immune response and growth pathways, which emphasise the strong relationship between resilience and immune response.
Assuntos
Estudo de Associação Genômica Ampla , Genoma , Animais , Teorema de Bayes , Peso Corporal/genética , Genômica , Polimorfismo de Nucleotídeo Único , Suínos/genéticaRESUMO
There is a growing concern about the genetic determinism of resilience and its possible implementation in breeding programs. The objective of our study was to elaborate novel resilience indicators in growing pigs based on the deviation from the expected growth curve and the increment of the acute-phase protein haptoglobin (HP) after applying a common vaccine. A total of 445 pigs were vaccinated with an attenuated Aujeszky vaccine at 12 weeks of age. Deviation from the expected body weight (ΔBW) given the growth curve of unvaccinated pigs at 28 days post-vaccination (DPV) and the increment of HP at 4 DPV (ΔHP) were suggested as resilience indicators. Challenged pigs that maintained their productivity and had a minor activation of HP were deemed resilient, whereas pigs that had low ∆BW values and a high activation of HP were deemed susceptible. Pigs were also classified based on ∆BW and ∆HP relative to the expected BW at 28 DPV and to the basal level of HP, respectively. The concordance was high between both methods, indicating that ΔBW and ΔHP are not sensitive to the animal's expected BW nor the basal level of HP. The heritability estimates were moderate for ∆BW (0.33) and low-to-moderate for ∆HP (0.16). Our study suggests ΔBW and ΔHP as novel resilience indicators in pigs. The suggested indicators capture different aspects of resilience, are easy to measure, and are genetically controlled. Thus, they may be improved through selective breeding. Further analyses are needed to validate our findings.
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Intramuscular fat (IMF) content and its composition affect the quality of meat. Selection for IMF generated a correlated response on its fatty acid composition. The increase of IMF content is associated with an increase of its saturated (SFA) and monounsaturated (MUFA) fatty acids, and consequently a decrease of polyunsaturated fatty acids (PUFA). We carried out a genome wide association study (GWAS) for IMF composition on two rabbit lines divergently selected for IMF content, using a Bayes B procedure. Association analyses were performed using 475 individuals and 90,235 Single Nucleotide Polymorphisms (SNPs). The main objectives were to identify genomic regions associated with the IMF composition and to generate a list of candidate genes. Genomic regions associated with the intramuscular fatty acid composition were spread across different rabbit chromosomes (OCU). An important region at 34.0-37.9 Mb on OCU1 was associated with C14:0, C16:0, SFA, and C18:2n6, explaining 3.5%, 11.2%, 11.3%, and 3.2% of the genomic variance, respectively. Another relevant genomic region was found to be associated at 46.0-48.9 Mb on OCU18, explaining up to 8% of the genomic variance of MUFA/SFA. The associated regions harbor several genes related to lipid metabolism, such as SCD, PLIN2, and ERLIN1. The main genomic regions associated with the fatty acids were not previously associated with IMF content in rabbits. Nonetheless, MTMR2 is the only gene that was associated with both the IMF content and composition in rabbits. Our study highlighted the polygenic nature of the fatty acids in rabbits and elucidated its genetic background.
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Fourteen body measurements of 132 adult female camels belonging to three populations Guerzni (60), Khouari (28), and Marmouri (44) reared in 38 herds of 8 provinces of Southern Morocco were studied to identify homogeneous groups according to their conformation. The measurements were chest girth (CG), hump girth (HG), height at withers (HW), body length (BL), fore limb length (FLL), chest width (CW), chest depth (CD), fore hoof circumference (FHC), head length (HL), distance between eyes (DE), ear length (EL), neck length (NL), neck circumference (NC), and tail length (TL). The three populations were compared according to their mean body measurements and through multivariate analyses. The results revealed that only HG, HW, BL, and FLL were significantly influenced by the population. Moreover, the MANOVA showed that Guerzni and Marmouri populations were significantly different, whereas Khouari was not significantly different either from Guerzni or Marmouri populations. Discriminant analysis showed that out of 14 variables, BL and FLL were the most discriminant and resulted into two significant canonical variables (CAN1 and CNA2). Khouari population could be best discriminated from Guerzni and Marmouri by CAN1, and Guerzni could be best distinguished from Marmouri by CAN2. The discriminant analysis revealed that 46.7%, 60.7%, and 40.9% of Guerzni, Khouari, and Marmouri animals, respectively, were correctly classified in their original population. The clustering of the three populations highlighted two Moroccan camel groups: Guerzni and Marmouri in the first group and Khouari in the second one.