Vol. 58 No. 1 (2019)
Research Papers

Population structure of the faba bean blight pathogen Ascochyta fabae (teleomorph, Didymella fabae) in Tunisia

Noura OMRI BEN YOUSSEF
Laboratoire des Grandes Cultures, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Rue Hédi Karray, EL Manzah, 1004, Tunis, Tunisie
Lydie KERDRAON
INRA, UMR, UMR BIOGER, INRA-AgroParisTech, Avenue Lucien Brétignières BP 01 78850 Thiverval-Grignon, France
Lucie MIEUZET
INRA, UMR 1349 IGEPP, Domaine de la Motte, 35653 Le Rheu, France
Imen HALILA
Laboratoire des Grandes Cultures, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Rue Hédi Karray, EL Manzah, 1004, Tunis, Tunisie
Noura JAMMEZI
Laboratoire des Grandes Cultures, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Rue Hédi Karray, EL Manzah, 1004, Tunis, Tunisie
Ahlem MBAZIA
Laboratoire des Grandes Cultures, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Rue Hédi Karray, EL Manzah, 1004, Tunis, Tunisie
Mohamed KHARRAT
Laboratoire des Grandes Cultures, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Rue Hédi Karray, EL Manzah, 1004, Tunis, Tunisie
Christophe LE MAY
INRA, UMR 1349 IGEPP, Domaine de la Motte, 35653 Le Rheu, France Agrocampus Ouest, UP ESP, 65 rue de Saint Brieuc, 35043 Rennes, France

Published 2019-05-15

Keywords

  • Ascochyta blight,
  • Ascochyta fabae,
  • faba bean,
  • genetic differentiation

How to Cite

[1]
N. OMRI BEN YOUSSEF, “Population structure of the faba bean blight pathogen Ascochyta fabae (teleomorph, Didymella fabae) in Tunisia”, Phytopathol. Mediterr., vol. 58, no. 1, pp. 81–94, May 2019.

Abstract

Ascochyta blight, caused by Ascochyta fabae (teleomorph: Didymella fabae) has decreased faba bean production in Tunisia and worldwide. The teleomorph has recently been observed in Tunisia, raising new questions of how to control this major disease. Isolates (317) of the pathogen were obtained between 2011 and 2013, from four geographical regions in Tunisia (Beja, Bizerte, Jendouba and Tunis). The 240 isolates obtained in 2012 were compared for mating type frequency and genetic variation by using ten polymorphic SSR markers. Of these isolates, MAT1-2 was more common (2:1) in Tunisia than MAT1-1, but this ratio can change according to population. Low to high genetic variation was detected between locations and among pathogen populations. Beja showed the greatest genotypic richness (R = 0.42), followed by Tunis (R = 0.25), Bizerte (R = 0.13), and Jendouba (R = 0.11). Indices of association (IA) and Rd were significantly different from 0 in all the populations, suggesting high multilocus linkage disequilibrium and confirming clonal populations. Population structure of the isolates was inferred using Bayesian analyses, Principal Component Analysis (PCA), and Minimum Spanning Networks, which all revealed that the populations from each location were not distinct. Evaluating changes in seasonal genetic diversity showed low to high variances of FST values between the two cropping seasons in all regions. However, the PCA analysis failed to separate the A. fabae isolates sampled during the two successive seasons into two groups, indicating that these populations did not constitute distinct genetic groups. These results suggest that gene flow was limited among populations, even those separated by short geographic distances. Future studies should enlarge the number of samples of representative populations, to overcome the limitations of a small sample size and to provide a more accurate assessment of A. fabae population structure.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...