scholarly journals Functional genetics and genomics of the banana black Sigatoka pathogen Pseudocercospora fijiensis

2018 ◽  
Author(s):  
Caucasella Díaz Trujillo
2020 ◽  
Vol 110 (10) ◽  
pp. 1620-1622
Author(s):  
Luis Amarillas ◽  
Mitzi Estrada-Acosta ◽  
Rubén G. León-Chan ◽  
Carlos López-Orona ◽  
Luis Lightbourn

Black Sigatoka disease, caused by the fungus Pseudocercospora fijiensis, is one of the most devastating diseases of banana around the world. Fungicide applications are the primary tool used to manage black Sigatoka, but fungicide resistance in P. fijiensis, as in other fungal pathogens, is one of the major limitations in the efficient management and prevention of this disease. In the current study, we present the draft genome of P. fijiensis strain IIL-20, the first genomic sequence published from a strain of this fungus isolated in North America. Bioinformatic analysis showed putative genes involved in fungus virulence and fungicide resistance. These findings may lead us to a better understanding of the molecular pathogenesis of this fungal pathogen and also to the discovery of the mechanisms conferring fungicide resistance.


PLoS Genetics ◽  
2016 ◽  
Vol 12 (8) ◽  
pp. e1005876 ◽  
Author(s):  
Rafael E. Arango Isaza ◽  
Caucasella Diaz-Trujillo ◽  
Braham Dhillon ◽  
Andrea Aerts ◽  
Jean Carlier ◽  
...  

2017 ◽  
Vol 107 (12) ◽  
pp. 1541-1548 ◽  
Author(s):  
Amanda Saville ◽  
Melodi Charles ◽  
Suchitra Chavan ◽  
Miguel Muñoz ◽  
Luis Gómez-Alpizar ◽  
...  

Pseudocercospora fijiensis is the causal pathogen of black Sigatoka, a devastating disease of banana that can cause 20 to 80% yield loss in the absence of fungicides in banana crops. The genetic structure of populations of P. fijiensis in Costa Rica was examined and compared with Honduran and global populations to better understand migration patterns and inform management strategies. In total, 118 isolates of P. fijiensis collected from Costa Rica and Honduras from 2010 to 2014 were analyzed using multilocus genotyping of six loci and compared with a previously published global dataset of populations of P. fijiensis. The Costa Rican and Honduran populations shared haplotype diversity with haplotypes from Southeast Asia, Oceania, and the Americas but not Africa for all but one of the six loci studied. Gene flow and shared haplotype diversity was found in Honduran and Costa Rican populations of the pathogen. The data indicate that the haplotypic diversity observed in Costa Rican populations of P. fijiensis is derived from dispersal from initial outbreak sources in Honduras and admixtures between genetically differentiated sources from Southeast Asia, Oceania, and the Americas.


Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 666 ◽  
Author(s):  
Vázquez-Euán ◽  
Chi-Manzanero ◽  
Hernández-Velázquez ◽  
Tzec-Simá ◽  
Islas-Flores ◽  
...  

Black Sigatoka is the main constraint to banana production worldwide, and epidemic outbreaks are continuously causing huge losses. Successful management of diseases requires a profound knowledge of the epidemiological factors that influence disease dynamics. Information regarding alternative hosts of Pseudocercospora fijiensis, the causal agent, is still very scarce. To date, only Heliconia psittacorum has been reported as an alternative plant host, and we hypothesized that other plants can house P. fijiensis. In the present report, ten plant species with suspicious leaf spots were collected inside and around commercial banana crops in Mexico. Diagnostic PCR gave positive amplification for six of these plant species, and DNA sequencing confirmed the presence of the pathogen in four. This is the first report of the presence of P. fijiensis in unrelated plants and it represents a breakthrough in the current knowledge of black Sigatoka. This finding is very important given the polycyclic nature of this disease whose successful management requires the control of initial inoculum to minimize epidemic outbreaks. The results presented herein can be used to introduce innovations in integrated black Sigatoka management programs to reduce initial inoculum, and help the international initiative to reduce the use of fungicides in banana production.


2018 ◽  
Vol 19 (6) ◽  
pp. 1491-1503 ◽  
Author(s):  
Caucasella Diaz-Trujillo ◽  
Pablo Chong ◽  
Ioannis Stergiopoulos ◽  
Viviane Cordovez ◽  
Mauricio Guzman ◽  
...  

2021 ◽  
Author(s):  
Janet Kimunye ◽  
Evans Were ◽  
Rony Swennen ◽  
Altus Viljoen ◽  
George Mahuku

2019 ◽  
Author(s):  
Juan Velez Alvarez ◽  
Alvaro Bastidas ◽  
Alejandra Monsalve ◽  
Tehseen Adel ◽  
Isabel Calle ◽  
...  

This work sought to develop an inelastic scattering imaging system based on Raman spectroscopy for the detection of the fungal phytopathogen, Pseudocercospora fijiensis, which causes Black Sigatoka disease in banana crops, very important in Colombian agro-industrial economy. This system consists of a modified stereoscope with an optical setup able to simultaneously capture spectral images together with its Raman spectra. The camera has two different bandpass filters attached, centered in the spectral region of C=O stretching of Chitin and the equatorial bending vibration of beta-1,3-glucan, molecules of the fungal cell wall. In this way, the system can get images with unique spectral features, suitable for training a convolutional neural network in order to get a recognition pattern of the fungal strain growing in the PDA agar. As a result, the instrument was able to detect the presence of P.fijiensis over the culture media.


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