Bioinformatic Analysis of Potential Pathogenicity Effectors of <i>Candidatus</i>Liberibacter asiaticus, Causal Agent of Citrus Huanglongbing
Bioinformatic Analysis of Potential Pathogenicity Effectors of <i>Candidatus</i>Liberibacter asiaticus, Causal Agent of Citrus Huanglongbing作者机构:Campo Experimental Ixtacuaco Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP) Km 4.5 Carretera Federal Martínez de la Torre-Tlapacoyan Tlapacoyan Veracruz México
出 版 物:《American Journal of Plant Sciences》 (美国植物学期刊(英文))
年 卷 期:2020年第11卷第8期
页 面:1319-1330页
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Effectors Proteins Function Prediction Gen Ontology Domains Citrus Greening
摘 要: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.