摘要
Huanglongbing (HLB) or citrus greening is currently the most important citrus disease, caused by the bacterium </span><i><span style="font-family:Verdana;">Candidatus</span></i><span style="font-family:Verdana;"> Liberibacter asiaticus (</span><i><span style="font-family:Verdana;">C</span></i><span style="font-family:Verdana;">Las). 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 </span></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:""><span style="font-family:Verdana;">-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 </span><i><span style="font-family:Verdana;">C</span></i><span style="font-family:Verdana;">Las.
Huanglongbing (HLB) or citrus greening is currently the most important citrus disease, caused by the bacterium </span><i><span style="font-family:Verdana;">Candidatus</span></i><span style="font-family:Verdana;"> Liberibacter asiaticus (</span><i><span style="font-family:Verdana;">C</span></i><span style="font-family:Verdana;">Las). 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 </span></span><i><span style="font-family:Verdana;">β</span></i><span style="font-family:""><span style="font-family:Verdana;">-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 </span><i><span style="font-family:Verdana;">C</span></i><span style="font-family:Verdana;">Las.
