Comprehensive Atlas of Alternative Splicing Reveals NSRP1 Promoting Adipogenesis through CCDC18 .
Lei LiuWei WangWeiwei LiuXingzheng LiGuoqiang YiAdeyinka Abiola AdetulaHaibo HuangZhonglin TangPublished in: International journal of molecular sciences (2024)
Alternative splicing (AS) plays a crucial role in regulating gene expression, function, and diversity. However, limited reports exist on the identification and comparison of AS in Eastern and Western pigs. Here, we analyzed 243 transcriptome data from eight tissues, integrating information on transcription factors (TFs), selection signals, splicing factors (SFs), and quantitative trait loci (QTL) to comprehensively study alternative splicing events (ASEs) in pigs. Five ASE types were identified, with Mutually Exclusive Exon (MXE) and Skipped Exon (SE) ASEs being the most prevalent. A significant portion of genes with ASEs (ASGs) showed conservation across all eight tissues (63.21-76.13% per tissue). Differentially alternative splicing genes (DASGs) and differentially expressed genes (DEGs) exhibited tissue specificity, with blood and adipose tissues having more DASGs. Functional enrichment analysis revealed coDASG_DEGs in adipose were enriched in pathways associated with adipose deposition and immune inflammation, while coDASG_DEGs in blood were enriched in pathways related to immune inflammation and metabolism. Adipose deposition in Eastern pigs might be linked to the down-regulation of immune-inflammation-related pathways and reduced insulin resistance. The TFs, selection signals, and SFs appeared to regulate ASEs. Notably, ARID4A (TF), NSRP1 (SF), ANKRD12 , IFT74 , KIAA2026 , CCDC18 , NEXN , PPIG , and ROCK1 genes in adipose tissue showed potential regulatory effects on adipose-deposition traits. NSRP1 could promote adipogenesis by regulating alternative splicing and expression of CCDC18 . Conducting an in-depth investigation into AS, this study has successfully identified key marker genes essential for pig genetic breeding and the enhancement of meat quality, which will play important roles in promoting the diversity of pork quality and meeting market demand.
Keyphrases
- genome wide
- insulin resistance
- adipose tissue
- gene expression
- dna methylation
- bioinformatics analysis
- genome wide identification
- oxidative stress
- transcription factor
- high fat diet
- south africa
- high fat diet induced
- copy number
- skeletal muscle
- type diabetes
- poor prognosis
- metabolic syndrome
- polycystic ovary syndrome
- single cell
- climate change
- machine learning
- long non coding rna
- deep learning
- rna seq
- optical coherence tomography
- social media
- big data