Literature DB >> 28026080

Transcriptomic gene profiling of porcine muscle tissue depending on histological properties.

Katarzyna Ropka-Molik1, Anna Bereta2, Kacper Żukowski2, Katarzyna Piórkowska1, Artur Gurgul1, Grzegorz Żak2.   

Abstract

In pig, the histological profile of muscle tissue, especially the proportion of individual fiber types, is one of the main factors affecting meat quality properties. In the present research, RNA sequencing (RNA-seq) by using next generation sequencing method was applied to estimate the whole gene expression profile of Longissimus lumborum muscle of pigs (Large White breed) differing in the percentage of two fiber types (slow-twitch (type I) fibers and fast-twitch glycolytic (type IIB) fibers). The RNA-seq approach allowed us to identify 355 differentially expressed genes (DEGs) indicated as significant (false discovery rate-adjusted P < 0.05) using three types of software: DESeq2, edgeR and baySeq. Detected genes and pathways deregulated in muscle depending on tissue microstructure were associated with: metabolic processes - 158 genes; cellular processes - 122; biological regulation - 62; localization - 51; and 35 genes with developmental processes. The DEGs were included in: PI3K-Akt; FoxO and MAPK signaling pathways, regulation of actin cytoskeleton, lysine degradation and insulin signaling pathway as well as mTOR and Hippo signaling pathways. These results highlight the mainly metabolic pathways related to glucose metabolism and contraction processes of muscle cells. Detection of genes involved in variation of fiber-type distribution will be useful in understanding of the genetic factors affecting muscle structure, metabolic process and indirectly, meat quality traits.
© 2016 Japanese Society of Animal Science.

Entities:  

Keywords:  Longissimus lumborum; RNA-seq; fast-twitch (type II) fibers; pig; slow-twitch (type I) fibers

Mesh:

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Year:  2016        PMID: 28026080     DOI: 10.1111/asj.12751

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  6 in total

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6.  Gene Expression Profile in Similar Tissues Using Transcriptome Sequencing Data of Whole-Body Horse Skeletal Muscle.

Authors:  Ho-Yeon Lee; Jae-Yoon Kim; Kyoung Hyoun Kim; Seongmun Jeong; Youngbum Cho; Namshin Kim
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  6 in total

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