English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background  Lower selection intensities in indigenous breeds of Chinese pig have resulted in obvious genetic and phenotypic divergence. One such breed, the Nanyang black pig, is renowned for its high lipid deposition and high genetic divergence, making it an ideal model in which to investigate lipid position trait mechanisms in pigs. An understanding of lipid deposition in pigs might improve pig meat traits in future breeding and promote the selection progress of pigs through modern molecular breeding techniques. Here, transcriptome and  tandem mass tag-based quantitative proteome  ( TMT) -based proteome analyses were carried out using  longissimus dorsi  ( LD ) tissues from individual Nanyang black pigs that showed high levels of genetic variation.    Results  A large population of Nanyang black pigs was phenotyped using multi-production trait indexes, and six pigs were selected and divided into relatively high and low lipid deposition groups. The combined transcriptomic and proteomic data identified 15 candidate genes that determine lipid deposition genetic divergence. Among them,  FASN ,  CAT , and  SLC25A20  were the main causal candidate genes. The other genes could be divided into lipid deposition-related genes ( BDH2, FASN, CAT, DHCR24, ACACA, GK, SQLE, ACSL4,  and  SCD ), PPARA-centered fat metabolism regulatory factors ( PPARA, UCP3 ), transcription or translation regulators ( SLC25A20, PDK4, CEBPA ), as well as integrin, structural proteins, and signal transduction-related genes ( EGFR ).    Conclusions  This multi-omics data set has provided a valuable resource for future analysis of lipid deposition traits, which might improve pig meat traits in future breeding and promote the selection progress in pigs, especially in Nanyang black pigs.    Supplementary Information  The online version contains supplementary material available at 10.1186/s12864-021-07764-2.

Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs