Literature DB >> 33609216

Genome-Wide Association Analysis Reveals the Genetic Architecture of Parasite (Cryptocaryon irritans) Resistance in Large Yellow Croaker (Larimichthys crocea).

Ji Zhao1,2, Tao Zhou2, Huaqiang Bai2, Qiaozhen Ke2,3, Bijun Li2, Mindong Bai4, Zhixiong Zhou2, Fei Pu2, Weiqiang Zheng3, Peng Xu5,6,7.   

Abstract

Large yellow croaker is an important marine culture species in China. Recently, the large yellow croaker industry is threatened by various disease problems, especially for the white spot disease, which is caused by parasite Cryptocaryon irritans. In the current study, we conducted a genome-wide association study (GWAS) for C. irritans resistance in two large yellow croaker populations (n = 264 and n = 480, respectively). We identified 15 QTL with explained genetic variance ranging from 1 to 8% in the two populations. One QTL on chromosome 23 was shared by the two populations, and three QTL had been reported in the previous study. We identified a lot of biological pathways associated with C. irritans resistance, such as hormone transport, response to bacterium, apoptotic process, acute inflammatory response to antigenic stimulus, and NF-kappa B signaling pathway. The genes casp8 and traf6 involved in regulatory network for apoptosis and inflammation were identified to be candidate genes for C. irritans resistance. Our results showed the complex polygenic architecture of resistance of large yellow croaker against C. irritans. These results would be helpful for the researches of the molecular mechanism of C. irritans resistance and genome-assisted breeding of large yellow croaker.

Entities:  

Keywords:  C. irritans; Disease resistance; GWAS; Genetic architecture; Ontology

Year:  2021        PMID: 33609216     DOI: 10.1007/s10126-021-10019-6

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  33 in total

1.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

2.  Transcriptome analysis reveals the temporal gene expression patterns in skin of large yellow croaker (Larimichthys crocea) in response to Cryptocaryon irritans infection.

Authors:  Huaqiang Bai; Tao Zhou; Ji Zhao; Baohua Chen; Fei Pu; Yulin Bai; Yidi Wu; Lin Chen; Yue Shi; Qiaozhen Ke; Xunkai Yu; Peng Xu
Journal:  Fish Shellfish Immunol       Date:  2020-02-16       Impact factor: 4.581

3.  Rainbow trout resistance to bacterial cold water disease: two new quantitative trait loci identified after a natural disease outbreak on a French farm.

Authors:  C Fraslin; S Brard-Fudulea; J D'Ambrosio; A Bestin; M Charles; P Haffray; E Quillet; F Phocas
Journal:  Anim Genet       Date:  2019-03-18       Impact factor: 3.169

Review 4.  An Expanded View of Complex Traits: From Polygenic to Omnigenic.

Authors:  Evan A Boyle; Yang I Li; Jonathan K Pritchard
Journal:  Cell       Date:  2017-06-15       Impact factor: 41.582

Review 5.  The infinitesimal model: Definition, derivation, and implications.

Authors:  N H Barton; A M Etheridge; A Véber
Journal:  Theor Popul Biol       Date:  2017-07-11       Impact factor: 1.570

6.  Stacks: an analysis tool set for population genomics.

Authors:  Julian Catchen; Paul A Hohenlohe; Susan Bassham; Angel Amores; William A Cresko
Journal:  Mol Ecol       Date:  2013-05-24       Impact factor: 6.185

7.  Apoptosis in meningoencephalitis of Angiostrongylus cantonensis-infected mice.

Authors:  Ke-Min Chen; Hsiu-Hsiung Lee; Shih-Chan Lai; Li-Sung Hsu; Chau-Jong Wang; Jer-Yuh Liu
Journal:  Exp Parasitol       Date:  2008-04-07       Impact factor: 2.011

8.  BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics.

Authors:  Daniel L Ayres; Aaron Darling; Derrick J Zwickl; Peter Beerli; Mark T Holder; Paul O Lewis; John P Huelsenbeck; Fredrik Ronquist; David L Swofford; Michael P Cummings; Andrew Rambaut; Marc A Suchard
Journal:  Syst Biol       Date:  2011-10-01       Impact factor: 15.683

9.  Mapping and validation of a major QTL affecting resistance to pancreas disease (salmonid alphavirus) in Atlantic salmon (Salmo salar).

Authors:  S Gonen; M Baranski; I Thorland; A Norris; H Grove; P Arnesen; H Bakke; S Lien; S C Bishop; R D Houston
Journal:  Heredity (Edinb)       Date:  2015-05-20       Impact factor: 3.821

10.  Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar).

Authors:  Muhammad L Aslam; Solomon A Boison; Marie Lillehammer; Ashie Norris; Bjarne Gjerde
Journal:  Sci Rep       Date:  2020-04-15       Impact factor: 4.379

View more
  2 in total

1.  pH Regulates the Formation and Hatching of Cryptocaryon irritans Tomonts, Which Affects Cryptocaryoniasis Occurrence in Larimichthys crocea Aquaculture.

Authors:  Liyao Zhou; Jiashuang Huang; Yunyan Jiang; Jindong Kong; Xiao Xie; Fei Yin
Journal:  Appl Environ Microbiol       Date:  2022-03-07       Impact factor: 5.005

2.  The Draft Genome of Cryptocaryon irritans Provides Preliminary Insights on the Phylogeny of Ciliates.

Authors:  Yulin Bai; Zhixiong Zhou; Ji Zhao; Qiaozhen Ke; Fei Pu; Linni Wu; Weiqiang Zheng; Hongshu Chi; Hui Gong; Tao Zhou; Peng Xu
Journal:  Front Genet       Date:  2022-01-12       Impact factor: 4.599

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.