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Identification of Genes Related to Growth Traits from Transcriptome Profiles of Duck Breast Muscle Tissue

ABSTRACT: The growth and development of duck skeletal muscle is an important economic trait that is genetically regulated. The internal mechanism underlying the regulation of skeletal muscle growth and development in ducks remains unclear. The purpose of this study was to identify candidate genes related to growth of duck skeletal muscle. RNA-sequencing technology was used to com-pare the transcriptome of duck breast muscles in an F2 population with the high breast muscle rate (HB) and the low breast muscle rate (LB). A total of 14,522 genes were confirmed to be ex-pressed in the breast muscle, and 173 differentially expressed genes (DEGs) were identified be-tween the HB and LB groups. Functional analysis showed that these DEGs were mainly involved in biological processes and pathways of fat metabolism and muscle growth, especially the FABP3 and MYL4 involved in the PPAR signaling pathway and cardiac muscle contraction pathway. These findings deepened our understanding of the molecular mechanisms involved in muscle growth in ducks, and provided a theoretical basis for improving duck production and breeding of ducks.

ORGANISM(S): Anas platyrhynchos

PROVIDER: GSE185612 | GEO | 2021/10/24

REPOSITORIES: GEO

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Project description:Background: Skeletal muscle growth and development is highly orchestrated in gene expressions. Understanding the location-specific and breed-specific genes and pathways are agriculturally important on meat products and meat quality. In the present study, RNA-Seq was performed to elucidate the difference of muscle deposition between locations and breeds for functional genomics studies. To achieve those goals, skeletal muscle samples were collected for pectoral muscle (PM) and leg muscle (LM) of two genetically different duck breeds, Heiwu duck (H) and Peking duck (P), at embryonic 15 days. Functional genomics studies were performed in two experiments: Experiment 1 directly compared location-specific genes between PM and LM, while Experiment 2 compared the two breeds (H and P) at the same development stage (embryonic 15 days). Results: Almost 13 million clean reads was generated using Illumina technology on each library, and more than 70% reads mapped to Anas platyrhynchos breed Peking duck genome. We identified 246, 258, 20 and 54 differentially expressed genes (DEGs) (log2.fold-change >0.5, and P-value <0.05) for H-PM vs H-LM, P-PM vs P-LM, H-LM vs P-LM and H-PM vs P-PM library, separately. A total of 168 genes were differentially expressed by over locations in experiment 1, while only 8 genes were differentially expressed by over breeds in experiment 2. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathways (KEGG) were used to functionally annotate DGEs. In experiment 1, DEGs mainly involved in Focal adhesion, PI3K-Akt signaling pathway and ECM-receptor interaction pathways (corrected P-value<0.05). In experiment 2, DEGs only associated with ribosome signal pathway (corrected P-value<0.05). In addition, quantitative real-time PCR was employed to confirm 15 differentially expressed genes detected by RNA-Seq. Conclusions: Comparative transcript analysis of leg muscle and pectoral muscle of two duck breeds not only improves our understanding of those location-specific and breed-specific genes and pathways, but also provides some candidate molecular targets for increase muscle products and meat quality by genetic control. Conclusions: Our study represents the first detailed analysis of duck breed muscle transcriptomes generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

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Identification of Genes Related to Growth Traits from Transcriptome Profiles of Duck Breast Muscle Tissue

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