Literature DB >> 27314624

Using Next-Generation Sequencing to Develop Molecular Diagnostics for Pseudoperonospora cubensis, the Cucurbit Downy Mildew Pathogen.

S Withers1, E Gongora-Castillo1, D Gent1, A Thomas1, P S Ojiambo1, L M Quesada-Ocampo1.   

Abstract

Advances in next-generation sequencing (NGS) allow for rapid development of genomics resources needed to generate molecular diagnostics assays for infectious agents. NGS approaches are particularly helpful for organisms that cannot be cultured, such as the downy mildew pathogens, a group of biotrophic obligate oomycetes that infect crops of economic importance. Unlike most downy mildew pathogens that are highly host-specific, Pseudoperonospora cubensis causes disease on a broad range of crops belonging to the family Cucurbitaceae. In this study, we identified candidate diagnostic markers for P. cubensis by comparing NGS data from a diverse panel of P. cubensis and P. humuli isolates, two very closely related oomycete species. P. cubensis isolates from diverse hosts and geographical regions in the United States were selected for sequencing to ensure that candidates were conserved in P. cubensis isolates infecting different cucurbit hosts. Genomic regions unique to and conserved in P. cubensis isolates were identified through bioinformatics. These candidate regions were then validated using PCR against a larger collection of isolates from P. cubensis, P. humuli, and other oomycetes. Overall seven diagnostic markers were found to be specific to P. cubensis. These markers could be used for pathogen diagnostics on infected tissue, or adapted for monitoring airborne inoculum with real-time PCR and spore traps.

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Year:  2016        PMID: 27314624     DOI: 10.1094/PHYTO-10-15-0260-FI

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  8 in total

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Authors:  K N Neufeld; A P Keinath; B K Gugino; M T McGrath; E J Sikora; S A Miller; M L Ivey; D B Langston; B Dutta; T Keever; A Sims; P S Ojiambo
Journal:  Int J Biometeorol       Date:  2017-11-25       Impact factor: 3.787

2.  A plant pathology perspective of fungal genome sequencing.

Authors:  Janneke Aylward; Emma T Steenkamp; Léanne L Dreyer; Francois Roets; Brenda D Wingfield; Michael J Wingfield
Journal:  IMA Fungus       Date:  2017-02-09       Impact factor: 3.515

3.  Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.

Authors:  Marie-Josée Bergeron; Nicolas Feau; Don Stewart; Philippe Tanguay; Richard C Hamelin
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

Review 4.  Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review.

Authors:  Ganeshamoorthy Hariharan; Kandeeparoopan Prasannath
Journal:  Front Cell Infect Microbiol       Date:  2021-01-11       Impact factor: 5.293

Review 5.  Fantastic Downy Mildew Pathogens and How to Find Them: Advances in Detection and Diagnostics.

Authors:  Andres F Salcedo; Savithri Purayannur; Jeffrey R Standish; Timothy Miles; Lindsey Thiessen; Lina M Quesada-Ocampo
Journal:  Plants (Basel)       Date:  2021-02-25

6.  The development of a novel diagnostic PCR for Madurella mycetomatis using a comparative genome approach.

Authors:  Wilson Lim; Emmanuel Siddig; Kimberly Eadie; Bertrand Nyuykonge; Sarah Ahmed; Ahmed Fahal; Annelies Verbon; Sandra Smit; Wendy Wj van de Sande
Journal:  PLoS Negl Trop Dis       Date:  2020-12-16

Review 7.  Advanced DNA-Based Point-of-Care Diagnostic Methods for Plant Diseases Detection.

Authors:  Han Yih Lau; Jose R Botella
Journal:  Front Plant Sci       Date:  2017-12-06       Impact factor: 5.753

8.  Resurgence of cucurbit downy mildew in the United States: Insights from comparative genomic analysis of Pseudoperonospora cubensis.

Authors:  Anna Thomas; Ignazio Carbone; Kisurb Choe; Lina M Quesada-Ocampo; Peter S Ojiambo
Journal:  Ecol Evol       Date:  2017-07-03       Impact factor: 2.912

  8 in total

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