Literature DB >> 30028232

Microsatellite Analysis and Urediniospore Dispersal Simulations Support the Movement of Puccinia graminis f. sp. tritici from Southern Africa to Australia.

Botma Visser1, Marcel Meyer1, Robert F Park1, Christopher A Gilligan1, Laura E Burgin1, Matthew C Hort1, David P Hodson1, Zacharias A Pretorius1.   

Abstract

The Australian wheat stem rust (Puccinia graminis f. sp. tritici) population was shaped by the introduction of four exotic incursions into the country. It was previously hypothesized that at least two of these (races 326-1,2,3,5,6 and 194-1,2,3,5,6 first detected in 1969) had an African origin and moved across the Indian Ocean to Australia on high-altitude winds. We provide strong supportive evidence for this hypothesis by combining genetic analyses and complex atmospheric dispersion modeling. Genetic analysis of 29 Australian and South African P. graminis f. sp. tritici races using microsatellite markers confirmed the close genetic relationship between the South African and Australian populations, thereby confirming previously described phenotypic similarities. Lagrangian particle dispersion model simulations using finely resolved meteorological data showed that long distance dispersal events between southern Africa and Australia are indeed possible, albeit rare. Simulated urediniospore transmission events were most frequent from central South Africa (viable spore transmission on approximately 7% of all simulated release days) compared with other potential source regions in southern Africa. The study acts as a warning of possible future P. graminis f. sp. tritici dispersal events from southern Africa to Australia, which could include members of the Ug99 race group, emphasizing the need for continued surveillance on both continents.

Entities:  

Keywords:  exotic introduction; long-distance spore dispersal

Mesh:

Year:  2018        PMID: 30028232     DOI: 10.1094/PHYTO-04-18-0110-R

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


  5 in total

1.  Genomics accelerated isolation of a new stem rust avirulence gene-wheat resistance gene pair.

Authors:  Narayana M Upadhyaya; Rohit Mago; Vinay Panwar; Tim Hewitt; Ming Luo; Jian Chen; Jana Sperschneider; Hoa Nguyen-Phuc; Aihua Wang; Diana Ortiz; Luch Hac; Dhara Bhatt; Feng Li; Jianping Zhang; Michael Ayliffe; Melania Figueroa; Kostya Kanyuka; Jeffrey G Ellis; Peter N Dodds
Journal:  Nat Plants       Date:  2021-07-22       Impact factor: 15.793

Review 2.  How Target-Sequence Enrichment and Sequencing (TEnSeq) Pipelines Have Catalyzed Resistance Gene Cloning in the Wheat-Rust Pathosystem.

Authors:  Jianping Zhang; Peng Zhang; Peter Dodds; Evans Lagudah
Journal:  Front Plant Sci       Date:  2020-05-26       Impact factor: 5.753

3.  Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation.

Authors:  Feng Li; Narayana M Upadhyaya; Jana Sperschneider; Oadi Matny; Hoa Nguyen-Phuc; Rohit Mago; Castle Raley; Marisa E Miller; Kevin A T Silverstein; Eva Henningsen; Cory D Hirsch; Botma Visser; Zacharias A Pretorius; Brian J Steffenson; Benjamin Schwessinger; Peter N Dodds; Melania Figueroa
Journal:  Nat Commun       Date:  2019-11-07       Impact factor: 14.919

4.  An early warning system to predict and mitigate wheat rust diseases in Ethiopia.

Authors:  Clare Allen-Sader; William Thurston; Marcel Meyer; Elias Nure; Netsanet Bacha; Yoseph Alemayehu; Richard O J H Stutt; Daniel Safka; Andrew P Craig; Eshetu Derso; Laura E Burgin; Sarah C Millington; Matthew C Hort; David P Hodson; Christopher A Gilligan
Journal:  Environ Res Lett       Date:  2019-10-30       Impact factor: 6.793

5.  Genetic Diversity and Population Structure Reveal Cryptic Genetic Variation and Long Distance Migration of Puccinia graminis f. sp. tritici in the Indian Subcontinent.

Authors:  Pramod Prasad; Rajni Kant Thakur; Siddanna Savadi; Subhash Chander Bhardwaj; Om Prakash Gangwar; Charu Lata; Sneha Adhikari; Subodh Kumar
Journal:  Front Microbiol       Date:  2022-04-13       Impact factor: 6.064

  5 in total

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