Literature DB >> 30010639

Specific and Accurate Detection of the Citrus Greening Pathogen Candidatus liberibacter spp. Using Conventional PCR on Citrus Leaf Tissue Samples.

Huan Chen1, Ian Arthur Palmer2, Jian Chen1, Ming Chang1, Stephen L Thompson3, Fengquan Liu4, Zheng Qing Fu5.   

Abstract

Citrus greening, also known as huanglongbing, is a destructive citrus disease ravaging citrus farms globally. This disease causes asymmetrical yellow leaf mottling, vein yellowing, defoliation, root decay, and ultimately, the death of the citrus plant. When infected, the citrus plants have stunted growth and produce flowers out of season. These flowers rarely yield fruit, and those that do yield small, bitter, irregularly shaped citrus fruit that are not desirable. This disease is spread by the Asian citrus psyllid, Diaphorina citri, and by the grafting of infected citrus tissue. The pathogen has a long and variable incubation period within the citrus plant-sometimes years, before symptoms appear. Attempts to culture this pathogen in vitro have been unsuccessful, possibly due to the low and uneven concentration of the pathogen within infected citrus tissue, or because it is difficult to replicate the environmental conditions conducive to growth of the pathogen. It is very difficult to identify the disease before it has spread, due to its long incubation period and researchers' inability to culture the pathogen. As a result, the disease only becomes apparent after suddenly destroying a citrus farmer's entire yield. Presented here is a method for the accurate and specific detection of the citrus greening pathogen, Candidatus liberibacter spp. using a genomic DNA extraction kit and PCR. This method is simple, efficient, cost effective, and adaptable for quantitative analysis. This method can be adapted for use on any citrus tissue; however, it is potentially limited by the amount of pathogen present in the tissue. Nevertheless, this method will allow citrus farmers to identify infected citrus plants earlier, and curb the spread of this destructive disease before it can further spread.

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Year:  2018        PMID: 30010639      PMCID: PMC6102019          DOI: 10.3791/57240

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  5 in total

1.  Sensitive and robust detection of citrus greening (huanglongbing) bacterium "Candidatus Liberibacter asiaticus" by DNA amplification with new 16S rDNA-specific primers.

Authors:  Takashi Fujikawa; Toru Iwanami
Journal:  Mol Cell Probes       Date:  2012-06-21       Impact factor: 2.365

2.  Quantitative real-time PCR for detection and identification of Candidatus Liberibacter species associated with citrus huanglongbing.

Authors:  Wenbin Li; John S Hartung; Laurene Levy
Journal:  J Microbiol Methods       Date:  2006-01-18       Impact factor: 2.363

3.  Detection and identification of the two Candidatus Liberobacter species associated with citrus huanglongbing by PCR amplification of ribosomal protein genes of the beta operon.

Authors:  A Hocquellet; P Toorawa; J M Bové; M Garnier
Journal:  Mol Cell Probes       Date:  1999-10       Impact factor: 2.365

4.  The phloem-limited bacterium of greening disease of citrus is a member of the alpha subdivision of the Proteobacteria.

Authors:  S Jagoueix; J M Bove; M Garnier
Journal:  Int J Syst Bacteriol       Date:  1994-07

5.  Reference genes for accurate transcript normalization in citrus genotypes under different experimental conditions.

Authors:  Valéria Mafra; Karen S Kubo; Marcio Alves-Ferreira; Marcelo Ribeiro-Alves; Rodrigo M Stuart; Leonardo P Boava; Carolina M Rodrigues; Marcos A Machado
Journal:  PLoS One       Date:  2012-02-09       Impact factor: 3.240

  5 in total
  1 in total

1.  Characterization of Volatile Organic Compounds of Healthy and Huanglongbing-Infected Navel Orange and Pomelo Leaves by HS-GC-IMS.

Authors:  Shan Cao; Jingyu Sun; Xiaoyong Yuan; Weihui Deng; Balian Zhong; Jiong Chun
Journal:  Molecules       Date:  2020-09-09       Impact factor: 4.411

  1 in total

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