Your browser doesn't support javascript.
loading
A Pathogen Secreted Protein as a Detection Marker for Citrus Huanglongbing.
Pagliaccia, Deborah; Shi, Jinxia; Pang, Zhiqian; Hawara, Eva; Clark, Kelley; Thapa, Shree P; De Francesco, Agustina D; Liu, Jianfeng; Tran, Thien-Toan; Bodaghi, Sohrab; Folimonova, Svetlana Y; Ancona, Veronica; Mulchandani, Ashok; Coaker, Gitta; Wang, Nian; Vidalakis, Georgios; Ma, Wenbo.
Afiliación
  • Pagliaccia D; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Shi J; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Pang Z; Center for Plant Cell Biology, University of California, Riverside, Riverside, CA, United States.
  • Hawara E; Citrus Research and Education Center, University of Florida, Lake Alfred, FL, United States.
  • Clark K; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Thapa SP; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • De Francesco AD; Department of Plant Pathology, University of California, Davis, Davis, CA, United States.
  • Liu J; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Tran TT; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Bodaghi S; Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, CA, United States.
  • Folimonova SY; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
  • Ancona V; Department of Plant Pathology, University of Florida, Gainesville, FL, United States.
  • Mulchandani A; Texas A&M University - Kingsville Citrus Center, Weslaco, TX, United States.
  • Coaker G; Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, CA, United States.
  • Wang N; Department of Plant Pathology, University of California, Davis, Davis, CA, United States.
  • Vidalakis G; Citrus Research and Education Center, University of Florida, Lake Alfred, FL, United States.
  • Ma W; Department of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, United States.
Front Microbiol ; 8: 2041, 2017.
Article en En | MEDLINE | ID: mdl-29403441
ABSTRACT
The citrus industry is facing an unprecedented crisis due to Huanglongbing (HLB, aka citrus greening disease), a bacterial disease associated with the pathogen Candidatus Liberibacter asiaticus (CLas) that affects all commercial varieties. Transmitted by the Asian citrus psyllid (ACP), CLas colonizes citrus phloem, leading to reduced yield and fruit quality, and eventually tree decline and death. Since adequate curative measures are not available, a key step in HLB management is to restrict the spread of the disease by identifying infected trees and removing them in a timely manner. However, uneven distribution of CLas cells in infected trees and the long latency for disease symptom development makes sampling of trees for CLas detection challenging. Here, we report that a CLas secreted protein can be used as a biomarker for detecting HLB infected citrus. Proteins secreted from CLas cells can presumably move along the phloem, beyond the site of ACP inoculation and CLas colonized plant cells, thereby increasing the chance of detecting infected trees. We generated a polyclonal antibody that effectively binds to the secreted protein and developed serological assays that can successfully detect CLas infection. This work demonstrates that antibody-based diagnosis using a CLas secreted protein as the detection marker for infected trees offers a high-throughput and economic approach that complements the approved quantitative polymerase chain reaction-based methods to enhance HLB management programs.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Microbiol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Microbiol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos