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has been cited by the following article:

• TITLE: Bioinformatic Analysis of Potential Pathogenicity Effectors of Candidatus Liberibacter asiaticus, Causal Agent of Citrus Huanglongbing

  AUTHORS: Felipe Roberto Flores-de la Rosa, Cynthia Guadalupe Rodríguez-Quibrera, Cristian Matilde-Hernández, Ricardo Santillán-Mendoza

  KEYWORDS: Effectors, Proteins, Function Prediction, Gen Ontology, Domains, Citrus Greening

  JOURNAL NAME: American Journal of Plant Sciences, Vol.11 No.8, August 25, 2020

  ABSTRACT: Huanglongbing (HLB) or citrus greening is currently the most important citrus disease, caused by the bacterium Candidatus Liberibacter asiaticus (CLas). The impossibility of isolating it causes understanding its pathogenic mechanisms to be a complicated task. Recent studies identified 16 proteins with the signal peptide needed to be secreted in the plant and cause the disease. The present study aims to perform a bioinformatic analysis of these proteins with the function prediction approach by gene ontology (GO) and the detection of conserved domains. It was observed that of the 16 proteins analyzed not all are found in different infective strains reported in the literature. The GO analysis allowed us to relate different proteins with the biological process of energy and pathogenic activity, especially CLIBASIA_03315 and CLIBASIA_05115, respectively. The domain analysis allowed the observation of a β-CA domain, tentatively related to the damage caused to the chloroplast and a PAAR domain associated with the T6SS secretory system. Our results provide information on the possible function of potential pathogenicity effectors in CLas.