| Title |
Differential expression of mRNA isoforms in the skeletal muscle of pigs with distinct growth and fatness profiles
|
|---|---|
| Published in |
BMC Genomics, February 2018
|
| DOI | 10.1186/s12864-018-4515-2 |
| Pubmed ID | |
| Authors |
Tainã Figueiredo Cardoso, Raquel Quintanilla, Anna Castelló, Rayner González-Prendes, Marcel Amills, Ángela Cánovas |
| Abstract |
The identification of genes differentially expressed in the skeletal muscle of pigs displaying distinct growth and fatness profiles might contribute to identify the genetic factors that influence the phenotypic variation of such traits. So far, the majority of porcine transcriptomic studies have investigated differences in gene expression at a global scale rather than at the mRNA isoform level. In the current work, we have investigated the differential expression of mRNA isoforms in the gluteus medius (GM) muscle of 52 Duroc HIGH (increased backfat thickness, intramuscular fat and saturated and monounsaturated fatty acids contents) and LOW pigs (opposite phenotype, with an increased polyunsaturated fatty acids content). Our analysis revealed that 10.9% of genes expressed in the GM muscle generate alternative mRNA isoforms, with an average of 2.9 transcripts per gene. By using two different pipelines, one based on the CLC Genomics Workbench and another one on the STAR, RSEM and DESeq2 softwares, we have identified 10 mRNA isoforms that both pipelines categorize as differentially expressed in HIGH vs LOW pigs (P-value < 0.01 and ±0.6 log2fold-change). Only five mRNA isoforms, produced by the ITGA5, SEMA4D, LITAF, TIMP1 and ANXA2 genes, remain significant after correction for multiple testing (q-value < 0.05 and ±0.6 log2fold-change), being upregulated in HIGH pigs. The increased levels of specific ITGA5, LITAF, TIMP1 and ANXA2 mRNA isoforms in HIGH pigs is consistent with reports indicating that the overexpression of these four genes is associated with obesity and metabolic disorders in humans. A broader knowledge about the functional attributes of these mRNA variants would be fundamental to elucidate the consequences of transcript diversity on the determinism of porcine phenotypes of economic interest. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Ph. D. Student | 10 | 21% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 5 | 11% |
| Other | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 40% |
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 11 | 23% |
Attention Score in Context
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