Literature DB >> 29635698

Detection of genetic variants between different Polish Landrace and Puławska pigs by means of RNA-seq analysis.

K Piórkowska1, K Żukowski2, K Ropka-Molik1, M Tyra3.   

Abstract

Variant calling analysis based on RNA sequencing data provides information about gene variants. RNA-seq is cheaper and faster than is DNA sequencing. However, it requires individual hard filters during data processing due to post-transcriptional modifications such as splicing and RNA editing. In the present study, RNA-seq transcriptome data on two Polish pig breeds (Puławska, PUL, n = 8, and Polish Landrace, PL, n = 8) were included. The pig breeds are significantly different with regard to meat qualities such as texture, water exudation, growth traits and fat content in carcasses. A total of 2451 significant mutations were identified by a chi square tests, and functional analysis was carried out using Panther, KEGG and Kobas. Interesting missense gene variants and mutations located in regulatory regions were found in a few genes related to fatty acid metabolism and lipid storage such as ACSL5, ALDH3A2, FADS1, SCD, PLA2G12A and ATGL. A validation of mutational influences on pig traits was performed for ALDH3A2, ATGL, PLA2G12A and MYOM1 variants using association analysis including 215 pigs of the PL and PUL breeds. The ALDH3A2ENSSSCT00000019636.2:c.470T>C polymorphism was found to affect the weight of the ham and loin eye area. In turn, an ENSSSCT00000004091.2:c.2836G>A MYOM1 mutation, which could be implicated in myofibrillar network organisation, had an effect on meatiness and loin texture parameters. The study aimed to estimate the usefulness of RNA-seq results for a purpose other than differentially expressed gene analysis. The analysis performed indicated interesting gene variants that could be used in the future as markers during selection.
© 2018 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  zzm321990SNPzzm321990; meat quality trait; porcine; transcriptome; variant calling

Mesh:

Year:  2018        PMID: 29635698     DOI: 10.1111/age.12654

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


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