Genomics

Dataset Information

0

Identification of genes in longissimus dorsi muscle differentially expressed between Wannanhua and Yorkshire pigs using RNA sequencing


ABSTRACT: Western commercial pig breeds have been intensively selected, resulting in a sizeable, rapid, and efficient accretion of muscle but a reduction in meat quality. When compared with Western commercial pig breeds, Chinese indigenous pig breeds exhibited slower growth rates and reduced lean meat content but superior perceived meat quality. To study the factors that determine meat quality, we examined piglets of one Western commercial breed (Yorkshire) and one Chinese indigenous breed (Wannanhua) and sequenced the longissimus dorsi muscle using RNA-sequencing (RNA-seq). We analyzed their transcriptomes, focusing on identifying candidate genes that may influence porcine muscle growth, meat quality and adipose deposition. Gene ontology functional enrichment and pathway enrichment analyses identified differentially expressed genes primarily associated with glycolytic metabolism, biological processes of muscle development and signaling pathways related to fatty acid metabolism, growth and carcass traits. This finding suggests that the differentially expressed genes may play important roles in determining meat quality traits. Quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) confirmed the differential expression of twelve selected differentially expressed genes. This study identified a number of novel candidate genes for porcine meat quality and carcass traits that merit further investigation to elucidate the molecular mechanisms responsible for muscle growth and fat deposition.

ORGANISM(S): Sus scrofa

PROVIDER: GSE75045 | GEO | 2015/11/30

SECONDARY ACCESSION(S): PRJNA302287

REPOSITORIES: GEO

Similar Datasets

2018-09-13 | PXD009771 | Pride
2017-05-20 | GSE99092 | GEO
2016-12-13 | GSE92259 | GEO
2010-12-16 | E-GEOD-26091 | biostudies-arrayexpress
2019-03-27 | GSE86919 | GEO
2022-01-14 | GSE183447 | GEO
2015-06-29 | E-GEOD-49299 | biostudies-arrayexpress
2012-05-15 | E-GEOD-30343 | biostudies-arrayexpress
2016-09-02 | GSE24192 | GEO
2012-05-16 | GSE30343 | GEO