Transcription factors and candidate functional SNPs associated with variation in fatty acid composition from skeletal muscle of pigs
Article Swipe
Mariah Castro Durval
,
Luiz F. Brito
,
Simara Larissa Fanalli
,
Artur Oliveira Rocha
,
Lorena Ferreira Benfica
,
Fernanda Nery Ciconello
,
Camila Santos Oliveira
,
Ingrid Soares Garcia
,
Felipe André Oliveira Freitas
,
Lucas Emanuel Nascimento
,
Bruna Pereira Martins da Silva
,
Bárbara Silva‐Vignato
,
Aline Cesar
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/age.70051
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/age.70051
Pork is an essential source of fatty acids (FAs) in the human diet. Fatty acids are important for various biological processes and can impact transcription regulation. The primary objective of this study was to identify candidate functional single nucleotide polymorphisms (SNPs) and expression quantitative trait loci (eQTL) associated with FA composition variation, and transcription factors (TFs) related to lipid metabolism using SNP array genotyping and Longissimus lumborum muscle transcriptome of Large White pigs. A total of 105 378 unique SNPs were identified, including 74 955 originating from RNA‐Seq data and 30 423 SNPs from the Porcine 50K SNP chip. These SNPs were tested for association with the skeletal muscle gene expression data (15 090 genes) using the matrixeqtl package. Genome‐wide association studies were conducted to test the association of these SNPs with FA trait variation, resulting in 74 254 eQTL, including 15 558 cis ‐ and 58 696 trans‐ eQTL. Furthermore, 23 eQTL hotspots were identified, along with four TFs related to lipid metabolism: EGR1 , SP1 , CREB3 and INSM . The analysis identified two SNPs significantly associated with oleic and linolenic acids in the skeletal muscle of pigs. Candidate genes previously reported to influence meat quality in pigs and human health were identified, including PITX3 , NT5C2 , FTL , GLIS1 , API5 and HILPDA . Although these findings offer valuable insights into metabolic disease response and lipid metabolism, contributing to a better understanding of gene expression related to lipid metabolism, meat quality and FA composition in pigs, the limited sample size indicates that further validations using larger datasets are recommended.
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- en
- Landing Page
- https://doi.org/10.1111/age.70051
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/age.70051
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- 153
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https://doi.org/10.1111/age.70051Digital Object Identifier
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Transcription factors and candidate functional
SNPs associated with variation in fatty acid composition from skeletal muscle of pigsWork title - Type
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-10-01Full publication date if available
- Authors
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Mariah Castro Durval, Luiz F. Brito, Simara Larissa Fanalli, Artur Oliveira Rocha, Lorena Ferreira Benfica, Fernanda Nery Ciconello, Camila Santos Oliveira, Ingrid Soares Garcia, Felipe André Oliveira Freitas, Lucas Emanuel Nascimento, Bruna Pereira Martins da Silva, Bárbara Silva‐Vignato, Aline CesarList of authors in order
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/age.70051Direct OA link when available
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| abstract_inverted_index.package. | 119 |
| abstract_inverted_index.reported | 194 |
| abstract_inverted_index.response | 228 |
| abstract_inverted_index.skeletal | 108, 187 |
| abstract_inverted_index.trans‐ | 149 |
| abstract_inverted_index.valuable | 223 |
| abstract_inverted_index.Candidate | 191 |
| abstract_inverted_index.RNA‐Seq | 88 |
| abstract_inverted_index.candidate | 36 |
| abstract_inverted_index.conducted | 124 |
| abstract_inverted_index.essential | 4 |
| abstract_inverted_index.important | 17 |
| abstract_inverted_index.including | 83, 141, 206 |
| abstract_inverted_index.indicates | 255 |
| abstract_inverted_index.influence | 196 |
| abstract_inverted_index.linolenic | 183 |
| abstract_inverted_index.metabolic | 226 |
| abstract_inverted_index.objective | 29 |
| abstract_inverted_index.processes | 21 |
| abstract_inverted_index.resulting | 136 |
| abstract_inverted_index.associated | 48, 179 |
| abstract_inverted_index.biological | 20 |
| abstract_inverted_index.expression | 43, 111, 239 |
| abstract_inverted_index.functional | 37 |
| abstract_inverted_index.genotyping | 64 |
| abstract_inverted_index.identified | 175 |
| abstract_inverted_index.matrixeqtl | 118 |
| abstract_inverted_index.metabolism | 60 |
| abstract_inverted_index.nucleotide | 39 |
| abstract_inverted_index.previously | 193 |
| abstract_inverted_index.variation, | 52, 135 |
| abstract_inverted_index.Longissimus | 66 |
| abstract_inverted_index.association | 105, 121, 128 |
| abstract_inverted_index.composition | 51, 248 |
| abstract_inverted_index.identified, | 82, 156, 205 |
| abstract_inverted_index.metabolism, | 231, 243 |
| abstract_inverted_index.metabolism: | 164 |
| abstract_inverted_index.originating | 86 |
| abstract_inverted_index.regulation. | 26 |
| abstract_inverted_index.validations | 258 |
| abstract_inverted_index.Furthermore, | 151 |
| abstract_inverted_index.contributing | 232 |
| abstract_inverted_index.quantitative | 44 |
| abstract_inverted_index.recommended. | 263 |
| abstract_inverted_index.Genome‐wide | 120 |
| abstract_inverted_index.polymorphisms | 40 |
| abstract_inverted_index.significantly | 178 |
| abstract_inverted_index.transcription | 25, 54 |
| abstract_inverted_index.transcriptome | 69 |
| abstract_inverted_index.understanding | 236 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5046460917 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I17974374 |
| citation_normalized_percentile.value | 0.47793655 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |