The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease

Huanglongbing (HLB) is the most devastating citrus disease and is associated with three bacterial species of the genus ‘<i>Candidatus</i> Liberibacter’ transmitted by insect vectors. The early detection of HLB is based on PCR methods, and it is one of the cornerstones for preventing incu...

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Main Authors: Félix Morán, Silvia Barbé, Saskia Bastin, Inmaculada Navarro, Edson Bertolini, María M. López, Estrella Hernández-Suárez, Alberto Urbaneja, Alejandro Tena, Felipe Siverio, Ester Marco-Noales
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
16S
HLB
Online Access:https://www.mdpi.com/2073-4395/11/1/10
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spelling doaj-638ded537ca14b02b9fd0e4dbf6791382021-04-02T18:24:50ZengMDPI AGAgronomy2073-43952021-12-0111101010.3390/agronomy11010010The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing DiseaseFélix Morán0Silvia Barbé1Saskia Bastin2Inmaculada Navarro3Edson Bertolini4María M. López5Estrella Hernández-Suárez6Alberto Urbaneja7Alejandro Tena8Felipe Siverio9Ester Marco-Noales10Instituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainInstituto Canario de Investigaciones Agrarias (ICIA), Centro de Protección Vegetal y Biotecnología, 38270 Canary Islands, SpainInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul (UFRGS), 91540-000 Porto Alegre, BrazilInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainInstituto Canario de Investigaciones Agrarias (ICIA), Centro de Protección Vegetal y Biotecnología, 38270 Canary Islands, SpainInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainInstituto Canario de Investigaciones Agrarias (ICIA), Centro de Protección Vegetal y Biotecnología, 38270 Canary Islands, SpainInstituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, 46113 Valencia, SpainHuanglongbing (HLB) is the most devastating citrus disease and is associated with three bacterial species of the genus ‘<i>Candidatus</i> Liberibacter’ transmitted by insect vectors. The early detection of HLB is based on PCR methods, and it is one of the cornerstones for preventing incursion into disease-free countries. However, the detection of phytopathogenic bacteria with PCR-based methods is problematic in surveys that include a variety of samples of different origins. Here, we first report the proportion of amplifications obtained by two standardized real-time PCR methods for the diagnosis of HLB in various environmental samples that include plants, psyllid vectors, and parasitic wasps of the psyllids. The results of 4915 samples showed that 9.3% of them were amplified by the first rapid screening test and only 0.3% by the more specific tests. Most of the amplifications were associated with parasitic wasps. We designed the primers external to the target regions of both real-time PCR protocols to determine if amplifications belonged to one of three ‘<i>Ca.</i> Liberibacter’ species associated with HLB. The bioinformatic analysis of the sequences obtained with these primers revealed that all these amplifications came from the presence of other prokaryotic organisms in the samples. The primers developed in this study overcome the problem of undesired amplification in environmental samples. Thus, they could be used in future survey protocols to prevent the eradication of negative trees and the generation of unjustified alarms.https://www.mdpi.com/2073-4395/11/1/10undesired amplification16Sreal-time PCRsequence identitygreeningHLB
collection DOAJ
language English
format Article
sources DOAJ
author Félix Morán
Silvia Barbé
Saskia Bastin
Inmaculada Navarro
Edson Bertolini
María M. López
Estrella Hernández-Suárez
Alberto Urbaneja
Alejandro Tena
Felipe Siverio
Ester Marco-Noales
spellingShingle Félix Morán
Silvia Barbé
Saskia Bastin
Inmaculada Navarro
Edson Bertolini
María M. López
Estrella Hernández-Suárez
Alberto Urbaneja
Alejandro Tena
Felipe Siverio
Ester Marco-Noales
The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
Agronomy
undesired amplification
16S
real-time PCR
sequence identity
greening
HLB
author_facet Félix Morán
Silvia Barbé
Saskia Bastin
Inmaculada Navarro
Edson Bertolini
María M. López
Estrella Hernández-Suárez
Alberto Urbaneja
Alejandro Tena
Felipe Siverio
Ester Marco-Noales
author_sort Félix Morán
title The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
title_short The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
title_full The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
title_fullStr The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
title_full_unstemmed The Challenge of Environmental Samples for PCR Detection of Phytopathogenic Bacteria: A Case Study of Citrus Huanglongbing Disease
title_sort challenge of environmental samples for pcr detection of phytopathogenic bacteria: a case study of citrus huanglongbing disease
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2021-12-01
description Huanglongbing (HLB) is the most devastating citrus disease and is associated with three bacterial species of the genus ‘<i>Candidatus</i> Liberibacter’ transmitted by insect vectors. The early detection of HLB is based on PCR methods, and it is one of the cornerstones for preventing incursion into disease-free countries. However, the detection of phytopathogenic bacteria with PCR-based methods is problematic in surveys that include a variety of samples of different origins. Here, we first report the proportion of amplifications obtained by two standardized real-time PCR methods for the diagnosis of HLB in various environmental samples that include plants, psyllid vectors, and parasitic wasps of the psyllids. The results of 4915 samples showed that 9.3% of them were amplified by the first rapid screening test and only 0.3% by the more specific tests. Most of the amplifications were associated with parasitic wasps. We designed the primers external to the target regions of both real-time PCR protocols to determine if amplifications belonged to one of three ‘<i>Ca.</i> Liberibacter’ species associated with HLB. The bioinformatic analysis of the sequences obtained with these primers revealed that all these amplifications came from the presence of other prokaryotic organisms in the samples. The primers developed in this study overcome the problem of undesired amplification in environmental samples. Thus, they could be used in future survey protocols to prevent the eradication of negative trees and the generation of unjustified alarms.
topic undesired amplification
16S
real-time PCR
sequence identity
greening
HLB
url https://www.mdpi.com/2073-4395/11/1/10
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