Literature DB >> 33524555

Population genetic structure and migration patterns of the maize pathogenic fungus, Cercospora zeina in East and Southern Africa.

David L Nsibo1, Irene Barnes2, Dennis O Omondi3, Mathews M Dida3, Dave K Berger4.   

Abstract

Cercospora zeina is a causal pathogen of gray leaf spot (GLS) disease of maize in Africa. This fungal pathogen exhibits a high genetic diversity in South Africa. However, little is known about the pathogen's population structure in the rest of Africa. In this study, we aimed to assess the diversity and gene flow of the pathogen between major maize producing countries in East and Southern Africa (Kenya, Uganda, Zambia, Zimbabwe, and South Africa). A total of 964 single-spore isolates were made from GLS lesions and confirmed as C.zeina using PCR diagnostics. The other causal agent of GLS, Cercospora zeae-maydis, was absent. Genotyping all the C.zeina isolates with 11 microsatellite markers and a mating-type gene diagnostic revealed (i) high genetic diversity with some population structure between the five African countries, (ii) cryptic sexual recombination, (iii) that South Africa and Kenya were the greatest donors of migrants, and (iv) that Zambia had a distinct population. We noted evidence of human-mediated long-distance dispersal, since four haplotypes from one South African site were also present at five sites in Kenya and Uganda. There was no evidence for a single-entry point of the pathogen into Africa. South Africa was the most probable origin of the populations in Kenya, Uganda, and Zimbabwe. Continuous annual maize production in the tropics (Kenya and Uganda) did not result in greater genetic diversity than a single maize season (Southern Africa). Our results will underpin future management of GLS in Africa through effective monitoring of virulent C.zeina strains.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Africa; Cercospora zeina; Gray leaf spot; Mating type; Microsatellite; Migration; Population genetics

Year:  2021        PMID: 33524555     DOI: 10.1016/j.fgb.2021.103527

Source DB:  PubMed          Journal:  Fungal Genet Biol        ISSN: 1087-1845            Impact factor:   3.495


  1 in total

1.  Deep Learning Diagnostics of Gray Leaf Spot in Maize under Mixed Disease Field Conditions.

Authors:  Hamish A Craze; Nelishia Pillay; Fourie Joubert; Dave K Berger
Journal:  Plants (Basel)       Date:  2022-07-26
  1 in total

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