Login / Signup

The repertoire of effector candidates in Colletotrichum lindemuthianum reveals important information about Colletotrichum genus lifestyle.

Casley Borges de QueirozHilberty L Nunes CorreiaMateus Ferreira SantanaDiego Silva BatistaPedro M Pereira VidigalSérgio Hermínio BrommonschenkelMarisa Vieira de Queiroz
Published in: Applied microbiology and biotechnology (2019)
The fungus Colletotrichum lindemuthianum is the causal agent of anthracnose in the common bean (Phaseolus vulgaris), and anthracnose is one of the most devastating diseases of this plant species. However, little is known about the proteins that are essential for the fungus-plant interactions. Knowledge of the fungus' arsenal of effector proteins is of great importance for understanding this pathosystem. In this work, we analyzed for the first time the arsenal of Colletotrichum lindemuthianum effector candidates (ClECs) and compared them with effector proteins from other species of the genus Colletotrichum, providing a valuable resource for studying the infection mechanisms of these pathogens in their hosts. Isolates of two physiological races (83.501 and 89 A2 2-3) of C. lindemuthianum were used to predict 353 and 349 ClECs, respectively. Of these ClECs, 63% were found to be rich in cysteine, have repetitive sequences of amino acids, and/or possess nuclear localization sequences. Several conserved domains were found between the ClECs. We also applied the effector prediction to nine species in the genus Colletotrichum, and the results ranged from 247 predicted effectors in Colletotrichum graminicola to 446 in Colletotrichum orbiculare. Twelve conserved domains were predicted in the effector candidates of all analyzed species of Colletotrichum. An expression analysis of the eight genes encoding the effector candidates in C. lindemuthianum revealed their induction during the biotrophic phase of the fungus on the bean.
Keyphrases
  • regulatory t cells
  • type iii
  • dendritic cells
  • healthcare
  • cardiovascular disease
  • transcription factor
  • metabolic syndrome
  • amino acid
  • physical activity
  • poor prognosis
  • type diabetes
  • gene expression
  • dna methylation