Literature DB >> 31630210

Genome-wide association study of the seed transmission rate of soybean mosaic virus and associated traits using two diverse population panels.

Qiong Liu1, Houston A Hobbs1, Leslie L Domier2.   

Abstract

KEY MESSAGE: Genome-wide association analyses identified candidates for genes involved in restricting virus movement into embryonic tissues, suppressing virus-induced seed coat mottling and preserving yield in soybean plants infected with soybean mosaic virus. Soybean mosaic virus (SMV) causes significant reductions in soybean yield and seed quality. Because seedborne infections can serve as primary sources of inoculum for SMV infections, resistance to SMV seed transmission provides a means to limit the impacts of SMV. In this study, two diverse population panels, Pop1 and Pop2, composed of 409 and 199 soybean plant introductions, respectively, were evaluated for SMV seed transmission rate, seed coat mottling, and seed yield from SMV-infected plants. The phenotypic data and genotypic data from the SoySNP50K dataset were analyzed using GAPIT and rrBLUP. For SMV seed transmission rate, a single locus was identified on chromosome 9 in Pop1. For SMV-induced seed coat mottling, loci were identified on chromosome 9 in Pop1 and on chromosome 3 in Pop2. For seed yield from SMV-infected plants, a single locus was identified on chromosome 3 in Pop2 that was within the map interval of a previously described quantitative trait locus for seed number. The high linkage disequilibrium regions surrounding the markers on chromosomes 3 and 9 contained a predicted nonsense-mediated RNA decay gene, multiple pectin methylesterase inhibitor genes (involved in restricting virus movement), two chalcone synthase genes, and a homolog of the yeast Rtf1 gene (involved in RNA-mediated transcriptional gene silencing). The results of this study provided additional insight into the genetic architecture of these three important traits, suggested candidate genes for downstream functional validation, and suggested that genomic prediction would outperform marker-assisted selection for two of the four trait-marker associations.

Entities:  

Mesh:

Year:  2019        PMID: 31630210     DOI: 10.1007/s00122-019-03434-w

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.574


  58 in total

1.  Mixed linear model approach adapted for genome-wide association studies.

Authors:  Zhiwu Zhang; Elhan Ersoz; Chao-Qiang Lai; Rory J Todhunter; Hemant K Tiwari; Michael A Gore; Peter J Bradbury; Jianming Yu; Donna K Arnett; Jose M Ordovas; Edward S Buckler
Journal:  Nat Genet       Date:  2010-03-07       Impact factor: 38.330

2.  Similarities in Seed and Aphid Transmission Among Soybean mosaic virus Isolates.

Authors:  Leslie L Domier; Todd A Steinlage; Houston A Hobbs; Yi Wang; Gabriel Herrera-Rodriguez; James S Haudenshield; Nancy K McCoppin; Glen L Hartman
Journal:  Plant Dis       Date:  2007-05       Impact factor: 4.438

3.  Effects of normalization on quantitative traits in association test.

Authors:  Liang Goh; Von Bing Yap
Journal:  BMC Bioinformatics       Date:  2009-12-14       Impact factor: 3.169

4.  A Model for Seed Transmission of a Plant Virus: Genetic and Structural Analyses of Pea Embryo Invasion by Pea Seed-Borne Mosaic Virus.

Authors:  D. Wang; A. J. Maule
Journal:  Plant Cell       Date:  1994-06       Impact factor: 11.277

Review 5.  Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies.

Authors:  Hao-Xun Chang; Alexander E Lipka; Leslie L Domier; Glen L Hartman
Journal:  Phytopathology       Date:  2016-07-11       Impact factor: 4.025

6.  An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.

Authors:  Vincent Segura; Bjarni J Vilhjálmsson; Alexander Platt; Arthur Korte; Ümit Seren; Quan Long; Magnus Nordborg
Journal:  Nat Genet       Date:  2012-06-17       Impact factor: 38.330

7.  Genome-wide association and genomic prediction identifies associated loci and predicts the sensitivity of Tobacco ringspot virus in soybean plant introductions.

Authors:  Hao-Xun Chang; Patrick J Brown; Alexander E Lipka; Leslie L Domier; Glen L Hartman
Journal:  BMC Genomics       Date:  2016-02-29       Impact factor: 3.969

8.  Lettuce mosaic virus: from pathogen diversity to host interactors.

Authors:  Sylvie German-Retana; Jocelyne Walter; Olivier Le Gall
Journal:  Mol Plant Pathol       Date:  2008-03       Impact factor: 5.663

9.  The Brassica napus calcineurin B-Like 1/CBL-interacting protein kinase 6 (CBL1/CIPK6) component is involved in the plant response to abiotic stress and ABA signalling.

Authors:  Liang Chen; Feng Ren; Li Zhou; Qing-Qing Wang; Hui Zhong; Xue-Bao Li
Journal:  J Exp Bot       Date:  2012-10       Impact factor: 6.992

10.  QTL affecting fitness of hybrids between wild and cultivated soybeans in experimental fields.

Authors:  Yosuke Kuroda; Akito Kaga; Norihiko Tomooka; Hiroshi Yano; Yoshitake Takada; Shin Kato; Duncan Vaughan
Journal:  Ecol Evol       Date:  2013-06-05       Impact factor: 2.912

View more
  1 in total

Review 1.  Deciphering the Genetic Architecture of Plant Virus Resistance by GWAS, State of the Art and Potential Advances.

Authors:  Severine Monnot; Henri Desaint; Tristan Mary-Huard; Laurence Moreau; Valerie Schurdi-Levraud; Nathalie Boissot
Journal:  Cells       Date:  2021-11-08       Impact factor: 6.600

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.