Bioinformatics Analysis Of Differential Transcripts Of Transcriptome Based On MSTN^-/- Luxi Cattle

In order to explore the coexpression network and core transcripts related to bovine skeletal muscle development,explore the regulatory transcripts of bovine skeletal muscle during development,and explore the feasibility of WGCNA and GSEA analysis methods in transcripts.In this study,bovine skeletal muscle transcriptome sequencing data were analyzed by using a new fastp+kallisto+sleuth analysis process.The differentially expressed RNAs of the two groups of muscle samples were screened by transcriptome sequencing analysis,and the go,KEGG enrichment analysis,WGCNA and GSEA analysis were performed.The results showed that a total of 32919 transcripts were identified by transcriptome sequencing,and the screening conditions for differential transcripts were established(|log2fc| ≥2,p<0.05).A total of 457 differentially expressed transcripts were screened,including303 up regulated and 154 down regulated transcripts.Through go and KEGG enrichment analysis of the differential transcripts,a total of 106 go entries were involved,and KEGG involved 14 pathways.The differential transcripts were mainly enriched in metabolic pathways,cell adhesion molecules,ECM receptor interactions,chemokine signaling pathways,and so on.Through WGCNA analysis of 457 differentially expressed transcripts,three transcript modules were significantly related,including 83 transcripts in brown module,93 transcripts in blue module and 111 transcripts in green module.A coexpression network with a weight greater than 0.5was established.At the same time,the protein interaction network of the differential transcripts was established,and five sub networks were obtained through the screening of mcode plug-in.At the same time,the core transcripts of the protein interaction network were screened through cytohubba plug-in,and 20 core transcripts were screened according to the score ranking.The enrichment analysis of transcripts by GSEA enrichment analysis revealed that most transcripts were concentrated in ECM receptor interaction,cell adhesion molecules,focal adhesion of phagosomes,AMPK signaling pathway,PI3 K Akt signaling pathway,regulation of actin cytoskeleton and other pathways.Most of these pathways are closely related to cell cycle and cell growth.In this study,the coexpression network of differential transcripts,protein interaction network and the screening of core transcripts were established.At the same time,GSEA analysis was used to screen important signaling pathways,which provided support for the study of the growth and development mechanism of skeletal muscle after MSTN knockout from the data,provided ideas and theoretical support for the exploration of molecular breeding,and explored the feasibility of alternative methods in transcriptome research.