Biology subjects

Labrune, Y.

Publications and source records attributed to Labrune, Y..

4 recordsLinked to original sources

bioRxiv2026

Investigating the dynamics of heat acclimation in pig through transcriptome analysis of blood samples

This study aimed to investigate the dynamics of gene expression in pigs during heat stress (HS), focusing on both short-term (STHA) and long-term (LTHA) heat acclimation phases. A total of 12 castrated males were exposed to thermoneutral temperatures (24{degrees}C) for 14 days (TN) and then to a constant temperature of 30{degrees}C for 21 days. Rectal temperature measurements indicated a biphasic thermoregulatory response, with an initial peak followed by acclimation. Using whole blood transcriptome analysis at seven time points between day 5 before the initiation of HS challenge and day 13 post HS. A total of 525 genes were differentially expressed during the STHA (day 0-day 2) phase. A switch in the expression of most genes was observed around 20 hours after HS. Functional pathway enrichment analysis identified through shape-based clustering revealed the activation of the immune system, especially mediated through toll-like receptor signaling pathways. The LTHA phase (day 2-day 13) revealed 985 differentially expressed genes, with pathways associated with various metabolisms, including mitochondrial fatty acid beta-oxidation, and electron transport, ATP synthesis, and heat production by uncoupling proteins. Interestingly, oxidative phosphorylation was predicted to be activated during the LTHA, particularly in Complex V, whereas other complexes showed mixed regulation. Comparative pathway analysis indicated distinct metabolic adaptations between STHA and LTHA, with up-regulation of glucose and lipid metabolism in late STHA and down-regulation of lipid metabolism during LTHA. This study contributes to a better understanding of the time course of adaptation mechanisms in pigs to HS, underlying a coordinated regulation during STHA involving several stress-specific mechanisms (via the HSP) and metabolic variation to help pigs achieve homeothermy.

systems biology↗

bioRxiv2026

Genetic and heat-stress related environmental influences on pig whole-blood gene expression levels

BackgroundGene expression levels are affected by genetics and environmental effects. However, quantification of the influence of genetics and environmental effects on gene expression remains limited, especially in farm animals. Here, the relative influence of genetic and heat-related environmental variations on gene expression levels was investigated in pigs, using a backcross herd of diverse heat adaptation levels. Backcross animals were raised in either a tropical or temperate environment. Animals raised in temperate environment were subjected to an experimental heat stress at the end of their growth. ResultsWe identified 1,967 differentially expressed genes (DEGs) between pigs raised in the tropical (n = 181) and temperate (n = 180) facilities, and 472 DEGs throughout a 3 weeks experimental heat stress. Transcriptome-wide association (TWAS) study identified 139 associations between gene expression levels and thermoregulation/production traits. We detected 6,014 expression quantitative trait loci (eQTLs) associated with the expression level of 3,297 genes. Genetic variance was estimated to explain 36.3% of gene expression variance on average, and was the main source of variance for 27.7% of transcripts. Most eQTLs found are located in proximal regions (cis-eQTLs) and few within distal regions (trans-eQTLs) to their assigned genes. A trans-eQTL hotspot highlighted a hematopoietic mechanism driven by GPATCH8. An integration of GWAS and TWAS pointed to TMCO1 and ZNF184 as candidate genes for backfat thickness. ConclusionsThis study provides a better understanding of the impact of climate, heat stress and genetic influences on the pig whole blood transcriptome.

genomics↗

bioRxiv2021

A genome-wide epistatic network underlies the molecular architecture of continuous color variation of body extremities: a rabbit model

Deciphering the molecular architecture of coat coloration for a better understanding of the biological mechanisms underlying pigmentation still remains a challenge. We took advantage of a rabbit French experimental population in which both a pattern and a gradient of coloration from white to brown segregated within the himalayan phenotype. The whole experimental design was genotyped using the high density Affymetrix(R) AxiomOrcun SNP Array and phenotyped into 6 different groups ordered from the lighter to the darker. Genome-wide association analyses pinpointed an oligogenic determinism, under recessive and additive inheritance, involving genes already known in melanogenesis (ASIP, KIT, MC1R, TYR), and likely processed pseudogenes linked to ribosomal function, RPS20 and RPS14. We also identified (i) gene-gene interactions through ASIP:MC1R affecting light cream/beige phenotypes while KIT:RPS responsible of dark chocolate/brown colors and (ii) a genome-wide epistatic network involving several others coloration genes such as POT1 or HPS5. Finally, we determined the recessive inheritance of the English spotting phenotype likely involving a copy number variation affecting at least the end of the coding sequence of the KIT gene. Our analyses of coloration as a continuous trait allowed us to go beyond much of the established knowledge through the detection of additional genes and gene-gene interactions that may contribute to the molecular architecture of the coloration phenotype. Moreover, the characterization of a network including genes that contribute to melanogenesis and pigmentation, two processes affected in various human disorders, shows the potential interest of our rabbit model for transversal studies.

genetics↗

bioRxiv2020

Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency

BackgroundFeed efficiency is a major driver of the sustainability of pig production systems. Understanding biological mechanisms underlying these agronomic traits is an important issue whether for environment and farms economy. This study aimed at identifying genomic regions affecting residual feed intake (RFI) and other production traits in two pig lines divergently selected for RFI during 9 generations (LRFI, low RFI; HRFI, high RFI). ResultsWe built a whole dataset of 570,447 single nucleotide polymorphisms (SNPs) in 2,426 pigs with records for 24 production traits after both imputation and prediction of genotypes using pedigree information. Genome-wide association studies (GWAS) were performed including both lines (Global-GWAS) or each line independently (LRFI-GWAS and HRFI-GWAS). A total of 54 chromosomic regions were detected with the Global-GWAS, whereas 37 and 61 regions were detected in LRFI-GWAS and HRFI-GWAS, respectively. Among those, only 15 regions were shared between at least two analyses, and only one was common between the three GWAS but affecting different traits. Among the 12 QTL detected for RFI, some were close to QTL detected for meat quality traits and 9 pinpointed novel genomic regions for some harbored candidate genes involved in cell proliferation and differentiation processes of gastrointestinal tissues or lipid metabolism-related signaling pathways. Detection of mostly different QTL regions between the three designs suggests the strong impact of the dataset on the detection power, which could be due to the changes of allelic frequencies during the line selection. ConclusionsBesides efficiently detecting known and new QTL regions for feed efficiency, the combination of GWAS carried out per line or simultaneously using all individuals highlighted the identification of chromosomic regions under selection that affect various production traits.

genetics↗