LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 6 of total 6

Search options

  1. Article ; Online: Identification of genomic regions, genetic variants and gene networks regulating candidate genes for lipid metabolism in pig muscle.

    Passols, M / Llobet-Cabau, F / Sebastià, C / Castelló, A / Valdés-Hernández, J / Criado-Mesas, L / Sánchez, A / Folch, J M

    Animal : an international journal of animal bioscience

    2023  Volume 17, Issue 12, Page(s) 101033

    Abstract: The intramuscular fat content and fatty acid composition of porcine meat have a significant impact on its quality and nutritional value. This research aimed to investigate the expression of 45 genes involved in lipid metabolism in the longissimus dorsi ... ...

    Abstract The intramuscular fat content and fatty acid composition of porcine meat have a significant impact on its quality and nutritional value. This research aimed to investigate the expression of 45 genes involved in lipid metabolism in the longissimus dorsi muscle of three experimental pig backcrosses, with a 25% of Iberian background. To achieve this objective, we conducted an expression Genome-Wide Association Study (eGWAS) using gene expression levels in muscle measured by high-throughput real-time qPCR for 45 target genes and genotypes from the PorcineSNP60 BeadChip or Axiom Porcine Genotyping Array and 65 single nucleotide polymorphisms (SNPs) located in 20 genes genotyped by a custom-designed Taqman OpenArray in a cohort of 354 animals. The eGWAS analysis identified 301 eSNPs associated with 18 candidate genes (ANK2, APOE, ARNT, CIITA, CPT1A, EGF, ELOVL6, ELOVL7, FADS3, FASN, GPAT3, NR1D2, NR1H2, PLIN1, PPAP2A, RORA, RXRA and UCP3). Three cis-eQTL (expression quantitative trait loci) were identified for GPAT3, RXRA, and UCP3 genes, which indicates that a genetic polymorphism proximal to the same gene is affecting its expression. Furthermore, 24 trans-eQTLs were detected, and eight candidate regulatory genes were located in these genomic regions. Additionally, two trans-regulatory hotspots in Sus scrofa chromosomes 13 and 15 were identified. Moreover, a co-expression analysis performed on 89 candidate genes and the fatty acid composition revealed the regulatory role of four genes (FABP5, PPARG, SCD, and SREBF1). These genes modulate the levels of α-linolenic, arachidonic, and oleic acids, as well as regulating the expression of other candidate genes associated with lipid metabolism. The findings of this study offer novel insights into the functional regulatory mechanism of genes involved in lipid metabolism, thereby enhancing our understanding of this complex biological process.
    MeSH term(s) Humans ; Animals ; Gene Regulatory Networks ; Genome-Wide Association Study/veterinary ; Lipid Metabolism/genetics ; Genomics ; Muscle, Skeletal/metabolism ; Fatty Acids/analysis ; Polymorphism, Single Nucleotide ; Fatty Acid-Binding Proteins/genetics ; Fatty Acid-Binding Proteins/metabolism
    Chemical Substances Fatty Acids ; FABP5 protein, human ; Fatty Acid-Binding Proteins
    Language English
    Publishing date 2023-11-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2257920-5
    ISSN 1751-732X ; 1751-7311
    ISSN (online) 1751-732X
    ISSN 1751-7311
    DOI 10.1016/j.animal.2023.101033
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Correction: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis.

    Valdés-Hernández, Jesús / Folch, Josep M / Crespo-Piazuelo, Daniel / Passols, Magí / Sebastià, Cristina / Criado-Mesas, Lourdes / Castelló, Anna / Sánchez, Armand / Ramayo-Caldas, Yuliaxis

    Genetics, selection, evolution : GSE

    2024  Volume 56, Issue 1, Page(s) 14

    Language English
    Publishing date 2024-02-26
    Publishing country France
    Document type Published Erratum
    ZDB-ID 1005838-2
    ISSN 1297-9686 ; 0754-0264 ; 0999-193X
    ISSN (online) 1297-9686
    ISSN 0754-0264 ; 0999-193X
    DOI 10.1186/s12711-024-00885-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis.

    Valdés-Hernández, Jesús / Folch, Josep M / Crespo-Piazuelo, Daniel / Passols, Magí / Sebastià, Cristina / Criado-Mesas, Lourdes / Castelló, Anna / Sánchez, Armand / Ramayo-Caldas, Yuliaxis

    Genetics, selection, evolution : GSE

    2024  Volume 56, Issue 1, Page(s) 12

    Abstract: Background: Intramuscular fat (IMF) content and its fatty acid (FA) composition are typically controlled by several genes, each with a small effect. In the current study, to pinpoint candidate genes and putative regulators involved in FA composition, we ...

    Abstract Background: Intramuscular fat (IMF) content and its fatty acid (FA) composition are typically controlled by several genes, each with a small effect. In the current study, to pinpoint candidate genes and putative regulators involved in FA composition, we performed a multivariate integrative analysis between intramuscular FA and transcriptome profiles of porcine longissimus dorsi (LD) muscle. We also carried out a combination of network, regulatory impact factor (RIF), in silico prediction of putative target genes, and functional analyses to better support the biological relevance of our findings.
    Results: For this purpose, we used LD RNA-Seq and intramuscular FA composition profiles of 129 Iberian × Duroc backcrossed pigs. We identified 378 correlated variables (13 FA and 365 genes), including six FA (C20:4n-6, C18:2n-6, C20:3n-6, C18:1n-9, C18:0, and C16:1n-7) that were among the most interconnected variables in the predicted network. The detected FA-correlated genes include genes involved in lipid and/or carbohydrate metabolism or in regulation of IMF deposition (e.g., ADIPOQ, CHUK, CYCS, CYP4B1, DLD, ELOVL6, FBP1, G0S2, GCLC, HMGCR, IDH3A, LEP, LGALS12, LPIN1, PLIN1, PNPLA8, PPP1R1B, SDR16C5, SFRP5, SOD3, SNW1, and TFRC), meat quality (GALNT15, GOT1, MDH1, NEU3, PDHA1, SDHD, and UNC93A), and transport (e.g., EXOC7 and SLC44A2). Functional analysis highlighted 54 over-represented gene ontology terms, including well-known biological processes and pathways that regulate lipid and carbohydrate metabolism. RIF analysis suggested a pivotal role for six transcription factors (CARHSP1, LBX1, MAFA, PAX7, SIX5, and TADA2A) as putative regulators of gene expression and intramuscular FA composition. Based on in silico prediction, we identified putative target genes for these six regulators. Among these, TADA2A and CARHSP1 had extreme RIF scores and present novel regulators in pigs. In addition, the expression of TADA2A correlated (either positively or negatively) with C20:4n-6, C18:2n-6, C20:3n-6, C18:1n-9, and that of CARHSP1 correlated (positively) with the C16:1n-7 lipokine. We also found that these two transcription factors share target genes that are involved in lipid metabolism (e.g., GOT1, PLIN1, and TFRC).
    Conclusions: This integrative analysis of muscle transcriptome and intramuscular FA profile revealed valuable information about key candidate genes and potential regulators for FA and lipid metabolism in pigs, among which some transcription factors are proposed to control gene expression and modulate FA composition differences.
    MeSH term(s) Swine/genetics ; Animals ; Fatty Acids/metabolism ; Muscle, Skeletal/metabolism ; Gene Expression Profiling ; Transcription Factors/metabolism ; Genes, Regulator ; Transcriptome
    Chemical Substances Fatty Acids ; Transcription Factors
    Language English
    Publishing date 2024-02-12
    Publishing country France
    Document type Journal Article
    ZDB-ID 1005838-2
    ISSN 1297-9686 ; 0754-0264 ; 0999-193X
    ISSN (online) 1297-9686
    ISSN 0754-0264 ; 0999-193X
    DOI 10.1186/s12711-024-00882-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Interrelation between gut microbiota, SCFA, and fatty acid composition in pigs.

    Sebastià, Cristina / Folch, Josep M / Ballester, Maria / Estellé, Jordi / Passols, Magí / Muñoz, María / García-Casco, Juan M / Fernández, Ana I / Castelló, Anna / Sánchez, Armand / Crespo-Piazuelo, Daniel

    mSystems

    2023  Volume 9, Issue 1, Page(s) e0104923

    Abstract: The gut microbiota is a key player in the host metabolism. Some bacteria are able to ferment non-digestible compounds and produce short-chain fatty acids that the host can later transform and accumulate in tissue. In this study, we aimed to better ... ...

    Abstract The gut microbiota is a key player in the host metabolism. Some bacteria are able to ferment non-digestible compounds and produce short-chain fatty acids that the host can later transform and accumulate in tissue. In this study, we aimed to better understand the relationships between the microorganisms and the short-chain fatty acid composition of the rectal content, including the possible linkage with the fatty acid composition in backfat and muscle of the pig. We studied a Duroc × Iberian crossbred population, and we found significant correlations between different bacterial and archaeal genera and the fatty acid profile. The abundance of n-butyric acid in the rectal content was positively associated with
    MeSH term(s) Swine ; Animals ; Gastrointestinal Microbiome ; Fatty Acids ; Fatty Acids, Volatile/metabolism ; Microbiota ; Bacteria ; Butyric Acid ; Akkermansia/metabolism ; Bacteroidetes/metabolism ; Biomarkers
    Chemical Substances Fatty Acids ; Fatty Acids, Volatile ; Butyric Acid (107-92-6) ; Biomarkers
    Language English
    Publishing date 2023-12-14
    Publishing country United States
    Document type Journal Article
    ISSN 2379-5077
    ISSN (online) 2379-5077
    DOI 10.1128/msystems.01049-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Global analysis of the association between pig muscle fatty acid composition and gene expression using RNA-Seq.

    Valdés-Hernández, Jesús / Ramayo-Caldas, Yuliaxis / Passols, Magí / Sebastià, Cristina / Criado-Mesas, Lourdes / Crespo-Piazuelo, Daniel / Esteve-Codina, Anna / Castelló, Anna / Sánchez, Armand / Folch, Josep M

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 535

    Abstract: Fatty acids (FAs) play an essential role as mediators of cell signaling and signal transduction, affecting metabolic homeostasis and determining meat quality in pigs. However, FAs are transformed by the action of several genes, such as those encoding ... ...

    Abstract Fatty acids (FAs) play an essential role as mediators of cell signaling and signal transduction, affecting metabolic homeostasis and determining meat quality in pigs. However, FAs are transformed by the action of several genes, such as those encoding desaturases and elongases of FAs in lipogenic tissues. The aim of the current work was to identify candidate genes, biological processes, and pathways involved in the modulation of intramuscular FA profile from longissimus dorsi muscle. FA profile by gas chromatography of methyl esters and gene expression by RNA-Seq were determined in 129 Iberian × Duroc backcrossed pigs. An association analysis between the muscle transcriptome and its FA profile was performed, followed by a concordance and functional analysis. Overall, a list of well-known (e.g., PLIN1, LEP, ELOVL6, SC5D, NCOA2, ACSL1, MDH1, LPL, LGALS12, TFRC, GOT1, and FBP1) and novel (e.g., TRARG1, TANK, ENSSSCG00000011196, and ENSSSCG00000038429) candidate genes was identified, either in association with specific or several FA traits. Likewise, several of these genes belong to biological processes and pathways linked to energy, lipid, and carbohydrate metabolism, which seem determinants in the modulation of FA compositions. This study can contribute to elucidate the complex relationship between gene expression and FA profile in pig muscle.
    MeSH term(s) Swine ; Animals ; Muscle, Skeletal/metabolism ; RNA-Seq ; Fatty Acids/metabolism ; Transcriptome ; Phenotype
    Chemical Substances Fatty Acids
    Language English
    Publishing date 2023-01-11
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-27016-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Expression analysis of porcine miR-33a/b in liver, adipose tissue and muscle and its potential role in fatty acid metabolism.

    Criado-Mesas, Lourdes / Ballester, Maria / Crespo-Piazuelo, Daniel / Passols, Magí / Castelló, Anna / Sánchez, Armand / Folch, Josep M

    PloS one

    2021  Volume 16, Issue 1, Page(s) e0245858

    Abstract: mir-33a and mir-33b are co-transcribed with the SREBF2 and SREBF1 transcription factors, respectively. The main role of SREBF1 is the regulation of genes involved in fatty acid metabolism, while SREBF2 regulates genes participating in cholesterol ... ...

    Abstract mir-33a and mir-33b are co-transcribed with the SREBF2 and SREBF1 transcription factors, respectively. The main role of SREBF1 is the regulation of genes involved in fatty acid metabolism, while SREBF2 regulates genes participating in cholesterol biosynthesis and uptake. Our objective was to study the expression of both miR-33a and miR-33b, together with their host SREBF genes, in liver, adipose tissue and muscle to better understand the role of miR-33a/b in the lipid metabolism of pigs. In our study, the expression of miR-33a, miR-33b and SREBF2 in liver, adipose tissue, and muscle was studied in 42 BC1_LD (25% Iberian x 75% Landrace backcross) pigs by RT-qPCR. In addition, the expression of in-silico predicted target genes and fatty acid composition traits were correlated with the miR-33a/b expression. We observed different tissue expression patterns for both miRNAs. In adipose tissue and muscle a high correlation between miR-33a and miR-33b expression was found, whereas a lower correlation was observed in liver. The expression analysis of in-silico predicted target-lipid related genes showed negative correlations between miR-33b and CPT1A expression in liver. Conversely, positive correlations between miR-33a and PPARGC1A and USF1 gene expression in liver were observed. Lastly, positive and negative correlations between miR-33a/b expression and saturated fatty acid (SFA) and polyunsaturated fatty acid (PUFA) content, respectively, were identified. Overall, our results suggested that both miRNAs are differentially regulated and have distinct functions in liver, in contrast to muscle and adipose tissue. Furthermore, the correlations between miR-33a/b expression both with the expression of in-silico predicted target-lipid related genes and with fatty acid composition, opens new avenues to explore the role of miR33a/b in the regulation of lipid metabolism.
    MeSH term(s) Adipose Tissue/metabolism ; Animals ; Carnitine O-Palmitoyltransferase/genetics ; Carnitine O-Palmitoyltransferase/metabolism ; Fatty Acids/metabolism ; Liver/metabolism ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Muscle, Skeletal/metabolism ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/genetics ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/metabolism ; Swine ; Upstream Stimulatory Factors/genetics ; Upstream Stimulatory Factors/metabolism
    Chemical Substances Fatty Acids ; MicroRNAs ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; Upstream Stimulatory Factors ; Carnitine O-Palmitoyltransferase (EC 2.3.1.21)
    Language English
    Publishing date 2021-01-26
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0245858
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top