Literature DB >> 31188737

Detection and Characterization of Fusarium oxysporum f. sp. vasinfectum VCG0114 (Race 4) Isolates of Diverse Geographic Origins.

Alois A Bell1, Aixing Gu2, Jim Olvey3, Tanya A Wagner4, Javlon J Tashpulatov1, Sandria Prom4, Jose Quintana1, Robert L Nichols5, Jinggao Liu1.   

Abstract

A highly virulent cotton wilt pathogen, Fusarium oxysporum f. sp. vasinfectum VCG0114 (race 4) was found in West Texas in 2017, after being known in California since 2001. Isolates obtained from wilted plants collected in 2017 from Texas, in 2015 from China, and during 2001 to 2014 from California and isolates from historical collections including the race 4 reference isolate were characterized by soil-infestation pathogenicity assays, DNA sequence analysis, and vegetative compatibility analysis. All obtained F. oxysporum f. sp. vasinfectum isolates belonged to VCG0114. All of these isolates, except one isolate from China, caused disease in a soil-infestation assay without nematodes. Thus, they belong to the nematode-independent pathotype. Texas isolates were significantly more virulent than were isolates from China or California on Gossypium barbadense 'Pima S-7'. Four different genotypes (N, T, MT, and MiT) were identified based on the transposable element Tfo1 insertion into the PHO gene and independent MULE or MITE insertions into the Tfo1 transposon. Some significant differences in virulence were detected among the genotypes in some locations. No differences in pathogenicity were observed between the California and China collection isolates on Pima S-7, and the virulence of the major genotypes was similar on the Gossypium hirsutum cultivar 'Stoneville 474' or the Barbren 713 germplasm line. Simple polymerase chain reaction (PCR) methods were developed to specifically determine and detect the four genotypes within VCG0114. A specific PCR method to detect all VCG0114 isolates was also developed. These methods will facilitate the timely identification of infested fields and seed lots and the elucidation of evolutionary relationships among the isolates. This should help to closely monitor the movement of the pathogen and reduce dissemination of these devastating pathogens.

Entities:  

Keywords:  f. sp. ; Fusarium wilt; Pima; VCG0114; cotton; pathogen detection; pathogen diversity; race 4

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Year:  2019        PMID: 31188737     DOI: 10.1094/PDIS-09-18-1624-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  5 in total

1.  Mapping of dynamic QTLs for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a backcross inbred line population of Upland cotton.

Authors:  Jinfa Zhang; Abdelraheem Abdelraheem; Jianjiang Ma; Yi Zhu; Jane Dever; Terry A Wheeler; Kater Hake; Tom Wedegaertner; Jiwen Yu
Journal:  Mol Genet Genomics       Date:  2022-01-12       Impact factor: 3.291

2.  Detection and Genotyping of Fov4 (Race 4, VCG0114), the Fusarium Wilt Pathogen of Cotton.

Authors:  Jinggao Liu; Tanya A Wagner
Journal:  Methods Mol Biol       Date:  2022

3.  A GWAS identified a major QTL for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a MAGIC population of Upland cotton and a meta-analysis of QTLs for Fusarium wilt resistance.

Authors:  Yi Zhu; Gregory N Thyssen; Abdelraheem Abdelraheem; Zonghua Teng; David D Fang; Johnie N Jenkins; Jack C McCarty; Tom Wedegaertner; Kater Hake; Jinfa Zhang
Journal:  Theor Appl Genet       Date:  2022-05-16       Impact factor: 5.574

4.  Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression.

Authors:  Jinfa Zhang; Abdelraheem Abdelraheem; Yi Zhu; Heather Elkins-Arce; Jane Dever; Derek Whitelock; Kater Hake; Tom Wedegaertner; Terry A Wheeler
Journal:  Front Plant Sci       Date:  2022-06-13       Impact factor: 6.627

5.  Quantitative Trait Locus Mapping and Identification of Candidate Genes for Resistance to Fusarium Wilt Race 7 Using a Resequencing-Based High Density Genetic Bin Map in a Recombinant Inbred Line Population of Gossypium barbadense.

Authors:  Wanli Han; Jieyin Zhao; Xiaojuan Deng; Aixing Gu; Duolu Li; Yuxiang Wang; Xiaoshuang Lu; Qianli Zu; Qin Chen; Quanjia Chen; Jinfa Zhang; Yanying Qu
Journal:  Front Plant Sci       Date:  2022-03-10       Impact factor: 5.753

  5 in total

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