TY - JOUR
T1 - A pathogen secreted protein as a detection marker for citrus huanglongbing
AU - Pagliaccia, Deborah
AU - Shi, Jinxia
AU - Pang, Zhiqian
AU - Hawara, Eva
AU - Clark, Kelley
AU - Thapa, Shree P.
AU - De Francesco, Agustina
AU - Liu, Jianfeng
AU - Tran, Thien Toan
AU - Bodaghi, Sohrab
AU - Folimonova, Svetlana Y.
AU - Ancona, Veronica
AU - Mulchandani, Ashok
AU - Coaker, Gitta
AU - Wang, Nian
AU - Vidalakis, Georgios
AU - Ma, Wenbo
N1 - Publisher Copyright:
© 2017 Pagliaccia, Shi, Pang, Hawara, Clark, Thapa, De Francesco, Liu, Tran, Bodaghi, Folimonova, Ancona, Mulchandani, Coaker, Wang, Vidalakis and Ma.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - 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.
AB - 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.
KW - Antibody-based detection
KW - Bacterial secreted proteins
KW - Citrus greening disease
KW - Disease diagnosis
KW - Effectors
KW - HLB
UR - http://www.scopus.com/inward/record.url?scp=85032259825&partnerID=8YFLogxK
U2 - 10.3389/fmicb.2017.02041
DO - 10.3389/fmicb.2017.02041
M3 - Article
AN - SCOPUS:85032259825
SN - 1664-302X
VL - 8
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
IS - OCT
M1 - 2041
ER -