Literature DB >> 26358736

Expression profiling of the GBP1 gene as a candidate gene for porcine reproductive and respiratory syndrome resistance.

S Gol1, J Estany1, L J Fraile1, R N Pena1.   

Abstract

A genomic region in pig chromosome 4 has been previously associated with higher viraemia levels and lower weight gain following porcine reproduction and respiratory syndrome virus (PRRSV) infection. The region includes the marker WUR1000125, a G>A polymorphism next to a putative polyadenylation site in the 3'-untranslated region (3'-UTR) of the guanylate-binding protein 1, interferon-induced (GBP1) gene. The protein encoded by GBP1 is a negative regulator of T-cell responses. We show here that GBP1 expression is lower in liver and tonsils of pigs carrying the WUR1000125-G allele due to differential allele expression (allele A expression is 1.9-fold higher than for allele G). We also show that the GBP1 gene has two active polyadenylation signals 421 bp apart and that polyadenylation usage is dependent on the WUR1000125 genotype. The distal site is the most prevalently used in all samples, but the presence of the A allele favours the generation of shorter transcripts from the proximal site. This is confirmed by a differential allele expression study in AG genotype liver and tonsil samples. The interaction between WUR1000125 and other mutations identified in the 5'- and 3'-UTR regions of this gene needs to be studied. In conclusion, our study indicates that the WUR1000125 mutation is associated with changes in the expression of the negative T-cell regulator GBP1 gene. However, the chromosome 4 locus for PRRSV viraemia levels and weight gain contains a cluster of four other GBP genes that remain to be studied as candidate genes for this QTL.
© 2015 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  genetic resistance; polyadenylation usage; porcine production; porcine reproduction and respiratory syndrome virus; viral load

Mesh:

Substances:

Year:  2015        PMID: 26358736     DOI: 10.1111/age.12347

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


  7 in total

1.  Distinct functional enrichment of transcriptional signatures in pigs with high and low IFN-gamma responses after vaccination with a porcine reproductive and respiratory syndrome virus (PRRSV).

Authors:  Tahar Ait-Ali; Ivan Díaz; Ferran Soldevila; Esmeralda Cano; Yanli Li; Alison D Wilson; Bruno Giotti; Alan L Archibald; Enric Mateu; Laila Darwich
Journal:  Vet Res       Date:  2016-10-20       Impact factor: 3.683

2.  Genome-Wide Analysis and Functional Characterization of the Polyadenylation Site in Pigs Using RNAseq Data.

Authors:  Hongyang Wang; Rui Li; Xiang Zhou; Liyao Xue; Xuewen Xu; Bang Liu
Journal:  Sci Rep       Date:  2016-11-04       Impact factor: 4.379

3.  Characterization and Functional Analysis of Polyadenylation Sites in Fast and Slow Muscles.

Authors:  Lulu Deng; Long Li; Cheng Zou; Chengchi Fang; Changchun Li
Journal:  Biomed Res Int       Date:  2020-03-16       Impact factor: 3.411

4.  Effect of polymorphisms in porcine guanylate-binding proteins on host resistance to PRRSV infection in experimentally challenged pigs.

Authors:  Amina Khatun; Salik Nazki; Chang-Gi Jeong; Suna Gu; Sameer Ul Salam Mattoo; Sim-In Lee; Myun-Sik Yang; Byeonghwi Lim; Kwan-Suk Kim; Bumseok Kim; Kyoung-Tae Lee; Choi-Kyu Park; Sang-Myeong Lee; Won-Il Kim
Journal:  Vet Res       Date:  2020-02-19       Impact factor: 3.683

Review 5.  When human guanylate-binding proteins meet viral infections.

Authors:  Rongzhao Zhang; Zhixin Li; Yan-Dong Tang; Chenhe Su; Chunfu Zheng
Journal:  J Biomed Sci       Date:  2021-03-05       Impact factor: 8.410

Review 6.  Functional cross-species conservation of guanylate-binding proteins in innate immunity.

Authors:  Luca Schelle; João Vasco Côrte-Real; Pedro José Esteves; Joana Abrantes; Hanna-Mari Baldauf
Journal:  Med Microbiol Immunol       Date:  2022-04-13       Impact factor: 3.402

7.  Genetic Markers Associated with Field PRRSV-Induced Abortion Rates.

Authors:  Ramona N Pena; Carlos Fernández; María Blasco-Felip; Lorenzo J Fraile; Joan Estany
Journal:  Viruses       Date:  2019-08-01       Impact factor: 5.048

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.