Population structure of Pyricularia oryzae on rice in Vietnam reveals diversified populations with four pandemic and two endemic clusters

Le, Lieu Thi; Adreit, Henri; Ha, Loan Thi; Milazzo, Joëlle; Lebrun, Michel; Tharreau, Didier; Pham, Xuan Hoi; Nguyen, Hai Thanh; Fournier, Elisabeth; Hoang, Giang

doi:10.1016/j.fgb.2023.103794

Cited by 1 publication

(3 citation statements)

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“…This is mainly due to the fact that it is morphologically indistinguishable from P. oryzae [32][33][34], and this also cannot be resolved by using phylogenetic analyses [28]. Therefore, a more detailed analysis of the genetic variability among the isolates was conducted using a combined analysis of the polymorphic bands obtained from two genomic fingerprinting analyses and an ITS analysis in combination with microsatellites markers, which is an analysis that was proven to be useful in exploring the population diversity in P. oryzae from rice crops in Vietnam [14].…”

Section: Discussionmentioning

confidence: 99%

“…The differences were clearer when the damaged area was evaluated. Phenotypic assessments such as infection assays are the main types of analysis performed to assess the compatibility among host-pathogen and virulence [8,14]. However, artificial inoculation has been reported only in a few Pyricularia hosts [25,26].…”

Section: Discussionmentioning

confidence: 99%

“…Pyricularia species are difficult to control due to the complex diversity and wide geographic distribution of their isolates [11], and this problem has also been observed in isolates with different phenotypic profiles [12], locations of collection [13] and crop varieties [14]. Different studies have related genetic variability to the pathogenic profile for Pyricularia isolates [9,15,16].…”

Section: Introductionmentioning

confidence: 99%

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Pyricularia’s Capability of Infecting Different Grasses in Two Regions of Mexico

Sequera-Grappin,

Ventura-Zapata,

De la Cruz-Arguijo

et al. 2023

JoF

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The genus Pyricularia includes species that are phytopathogenic fungi, which infect different species of Poaceae, such as rice and sorghum. However, few isolates have been genetically characterized in North America. The current study addresses this lack of information by characterizing an additional 57 strains of three grasses (Stenotaphrum secundatum, Cenchrus ciliaris and Digitaria ciliaris) from two distant regions of Mexico. A Pyricularia dataset with ITS sequences retrieved from GenBank and the studied sequences were used to build a haplotype network that allowed us to identify a few redundant haplotypes highly related to P. oryzae species. An analysis considering only the Mexican sequences allowed us to identify non-redundant haplotypes in the isolates of C. ciliaris and D. ciliaris, with a high identity with P. pennisetigena. The Pot2-TIR genomic fingerprinting technique resulted in high variability and allowed for the isolates to be grouped according to their host grass, whilst the ERIC-PCR technique was able to separate the isolates according to their host grass and their region of collection. Representative isolates from different host grasses were chosen to explore the pathogenic potential of these isolates. The selected isolates showed a differential pathogenic profile. Cross-infection with representative isolates from S. secundatum and C. ciliaris showed that these were unable to infect D. ciliaris grass and that the DY1 isolate from D. ciliaris was only able to infect its host grass. The results support the identification of pathogenic strains of Pyricularia isolates and their cross-infection potential in different grasses surrounding important crops in Mexico.

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