Production of Didymella rabiei Pseudothecia and Dispersal of Ascospores in a Mediterranean Climate

Modeling Inoculum Availability of Plurivorosphaerella nawae in Persimmon Leaf Litter with Bayesian Beta Regression

Circular leaf spot (CLS), caused by Plurivorosphaerella nawae, is a serious disease affecting persimmon (Diospyros kaki) that is characterized by necrotic lesions on leaves, defoliation, and fruit drop. Under Mediterranean conditions, P. nawae forms pseudothecia in the leaf litter in winter, and ascospores are released in spring, infecting susceptible leaves. Persimmon growers are advised to apply fungicides for CLS control during the period of inoculum availability, which was previously defined based on ascospore counts under the microscope. A model of inoculum availability of P. nawae was developed and evaluated as an alternative to ascospore counts. Leaf litter samples were collected weekly in L'Alcúdia (Spain) from 2010 to 2015. Leaves were soaked and placed in a wind tunnel, and the released ascospores of P. nawae were counted. Hierarchical Bayesian beta regression methods were used to model the dynamics of ascospore production in the leaf litter. The selected model included accumulated degree-days (ADDs) and ADDs taking into account the vapor pressure deficit (ADDvpd) as fixed effects and year as random effect. This model had a mean absolute error of 0.042 and a root mean square error of 0.062. The beta regression model was evaluated in four orchards from 2010 to 2015. Higher accuracy was obtained at the beginning and the end of the ascospore production period, which are the events of interest to schedule fungicide sprays for CLS control in Spain. This same modeling framework can be extended to other fungal plant pathogens whose inoculum dynamics are expressed as proportion data.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

A Mechanistic Weather-Driven Model for Ascochyta rabiei Infection and Disease Development in Chickpea

Ascochyta blight caused by Ascochyta rabiei is an important disease of chickpea. By using systems analysis, we retrieved and analyzed the published information on A. rabiei to develop a mechanistic, weather-driven model for the prediction of Ascochyta blight epidemics. The ability of the model to predict primary infections was evaluated using published data obtained from trials conducted in Washington (USA) in 2004 and 2005, Israel in 1996 and 1998, and Spain from 1988 to 1992. The model showed good accuracy and specificity in predicting primary infections. The probability of correctly predicting infections was 0.838 and the probability that there was no infection when not predicted was 0.776. The model's ability to predict disease progress during the growing season was also evaluated by using data collected in Australia from 1996 to 1998 and in Southern Italy in 2019; a high concordance correlation coefficient (CCC = 0.947) between predicted and observed data was obtained, with an average distance between real and fitted data of root mean square error (RMSE) = 0.103, indicating that the model was reliable, accurate, and robust in predicting seasonal dynamics of Ascochyta blight epidemics. The model could help growers schedule fungicide treatments to control Ascochyta blight on chickpea.

Didymella pisi sp. nov., the teleomorph of Ascochyta pisi

The anamorphic pycnidial fungus Ascochyta pisi is one member of a species complex that causes Ascochyta blight of pea, a potentially devastating disease. The teleomorphic state of this fungus was induced under laboratory conditions. Using morphological and molecular characters, we placed the teleomorph within the genus Didymella as D. pisi and describe a heterothallic mating system using a PCR-based mating type assay and in vitro crosses. We compare D. pisi with other Didymella spp. with which it might be confused.

Differences Between Ascospores and Conidia of Didymella rabiei in Spore Germination and Infection of Chickpea

ABSTRACT Studies were performed to compare the germination and infection of ascospores and conidia of Didymella rabiei under different temperature and moisture conditions. Germination of ascospores and conidia on cover glasses coated with water agar began after 2 h, with maximum germination (>95%) occurring in 6 h at 20 degrees C. No germination occurred at 0 and 35 degrees C. Ascospores germinated more rapidly than conidia at all temperatures. Germination declined rapidly as the water potential varied from 0 to -4 MPa, although some germination occurred at -6 MPa at 20 and 25 degrees C. Ascospores germinated over a wider range of water potentials than conidia and their germ tubes were longer than those of conidia at most water potentials and temperatures. The optimum temperature for infection and disease development by both ascospores and conidia was around 20 degrees C. Disease severity was higher when ascospores were discharged directly onto plant surfaces from naturally infested chickpea debris compared with aqueous suspensions of ascospores and conidia sprayed onto plants Disease severity increased as the length of the wetness period increased. When dry periods of 6 to 48 h occurred immediately after inoculation, disease severity decreased, except for the shorter periods which had the opposite effect. Disease severity was higher with ascospore inoculum when no dry periods occurred after inoculation.

Cloning of the mating type locus from Ascochyta lentis (teleomorph: Didymella lentis) and development of a multiplex PCR mating assay for Ascochyta species

The mating type (MAT) locus of the lentil pathogen, Ascochyta lentis, was cloned and characterized using thermal asymmetric interlaced and inverse PCR with primers designed to the HMG-box of Ascochyta rabiei. A multiplex PCR assay for mating type was developed based on MAT idiomorph and flanking sequences. Primers were designed to specifically amplify MAT from several Ascochyta spp. including A. pisi, A. fabae and A. viciae-villosae in addition to A. lentis. Four hundred and fifty and 700 bp fragments were amplified from MAT1-1 and MAT1-2 isolates, respectively, and fragment size correlated perfectly with laboratory crosses using mating type tester strains. MAT-specific PCR allowed rapid scoring of mating type in crude DNA extracts from geographically diverse population samples of A. viciae-villosae from California and Washington State, USA. This co-dominant MAT-specific PCR assay will be a valuable tool for studying the population structure, biology and epidemiology of these fungi.