Digital PCR Technology for Detection of Palm-Infecting Phytoplasmas Belonging to Group 16SrIV that Occur in Florida

Author:

Bahder Brian W.1,Helmick Ericka E.1,Mou De-Fen1,Harrison Nigel A.2,Davis Robert3

Affiliation:

1. Department of Entomology and Nematology, University of Florida, Fort Lauderdale Research and Education Center (FLREC), Davie 33314-7719

2. Department of Plant Pathology, University of Florida, FLREC

3. Molecular Plant Pathology Laboratory, United States Department of Agriculture–Agricultural Research Service, Beltsville, MD 20705

Abstract

Phytoplasmas are an economically important group of plant pathogens that negatively impact a wide variety of plants in agricultural and natural ecosystems. In Florida, palm trees are essential elements in the nursery and landscaping industries that suffer from diseases caused by phytoplasmas that are related to each other but are classified in two different subgroups, 16SrIV-A and 16SrIV-D. In this study, a TaqMan assay was developed for digital polymerase chain reaction (dPCR) to detect both palm-infecting phytoplasmas found in Florida. When compared with real-time PCR assays and nested PCR assays, dPCR was capable of detecting the phytoplasmas at much lower concentrations than was possible by using real-time PCR and nested PCR. Additionally, the assay was capable of detecting 16SrIV-B phytoplasma as well as isolates representing the 16SrI and 16SrIII phytoplasma groups. Due to sequence identity of primer annealing regions across diverse phytoplasmas, the assay is likely to be successful for detection of a wide variety of phytoplasmas. The increased sensitivity of this dPCR assay over real-time PCR will allow for earlier detection of phytoplasma infection in palm trees, as well as for screening of salivary glands of candidate insect vector species. These advantages should aid timely management decisions to reduce disease spread and rapid determination of phytoplasma transmission by vectors.

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science

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