Literature DB >> 30010040

Transcriptome analyses reveal genes of alternative splicing associated with muscle development in chickens.

Zhixiong Li1, Yaou Xu2, Yaqiu Lin2.   

Abstract

Alternative splicing (AS) of pre-mRNA is a central mode of genetic regulation in higher eukaryotes. High-throughput experimental verification of alternative splice forms, functional characterization, and regulation of alternative splicing are key directions for research. However, little information is available on the transcriptome-wide changes during different ages in different chicken breeds. In this study, the sequencing reads of chicken muscle tissues collected from White feather broiler (day 42) and Luning Chicken (day 70, 120, 150) were mapped to the chicken genome. Results showed that a total of 16,958 genes were annotated, with 2230 differentially expressed genes (DEGs) when comparing White feather broiler and Luning Chicken, and an average of 700 DEGs when comparing different ages in Luning Chicken. Functional classification by Gene Ontology (GO) and pathways analysis for selecting the genes showed most DEGs were related to muscle development and immune response. Of the 16,958 genes, a total of 6249 genes (36.85%) underwent AS events, and over 40% were specifically expressed in each library. Additionally, 6 DEGs (SRPK3, ENSGALG00000022884, CCL4, GATM, SESN1, PTTG1IP) involved in muscle development and immunity response were found to be alternatively spliced among all the four muscle tissues. In conclusion, we present a complete dataset involving the spatial and temporal transcriptome of chicken muscle tissue using RNA -seq. These data will facilitate the understanding of the effects of breed and age on the development of muscle and uncover that AS events of candidate genes may have important functional roles in regulation of muscle development in chicken.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age; Alternative splicing; Breed; Muscle; Transcriptomics

Mesh:

Substances:

Year:  2018        PMID: 30010040     DOI: 10.1016/j.gene.2018.07.027

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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  6 in total

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