Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes

Phytoplasmas of the X-disease group (16SrIII) are economically significant pathogens in South America, causing severe crop losses. Traditional classification based on the 16S rRNA gene has limitations in resolving closely related strains, prompting the exploration of alternative markers. This study...

Descripción completa

Detalles Bibliográficos
Autores principales: Alessio, Florencia Ivette, Bongiorno, Vanina Aylén, Marcone, Carmine, Conci, Luis Rogelio, Fernandez, Franco Daniel
Formato: Artículo
Lenguaje:Inglés
Publicado: MDPI 2025
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/22731
https://www.mdpi.com/2076-2607/13/5/1170
https://doi.org/10.3390/microorganisms13051170
_version_ 1855486999959437312
author Alessio, Florencia Ivette
Bongiorno, Vanina Aylén
Marcone, Carmine
Conci, Luis Rogelio
Fernandez, Franco Daniel
author_browse Alessio, Florencia Ivette
Bongiorno, Vanina Aylén
Conci, Luis Rogelio
Fernandez, Franco Daniel
Marcone, Carmine
author_facet Alessio, Florencia Ivette
Bongiorno, Vanina Aylén
Marcone, Carmine
Conci, Luis Rogelio
Fernandez, Franco Daniel
author_sort Alessio, Florencia Ivette
collection INTA Digital
description Phytoplasmas of the X-disease group (16SrIII) are economically significant pathogens in South America, causing severe crop losses. Traditional classification based on the 16S rRNA gene has limitations in resolving closely related strains, prompting the exploration of alternative markers. This study focuses on the immunodominant membrane proteins imp and idpA, which exhibit high variability and play crucial roles in host–pathogen interactions. Through molecular characterization of imp and idpA genes in 16SrIII subgroups, we identified significant genetic diversity and distinct evolutionary pressures. The imp gene, under positive selection, showed high variability in its hydrophilic extracellular domain, suggesting adaptation to host immune responses. In contrast, idpA exhibited strong negative selection, indicating functional conservation. Phylogenetic analyses revealed that imp and idpA provide higher resolution than the 16S rRNA gene, enabling finer differentiation within subgroups. These findings highlight the potential of imp and idpA as complementary markers for phytoplasma classification and diagnostics.
format Artículo
id INTA22731
institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher MDPI
publisherStr MDPI
record_format dspace
spelling INTA227312025-06-19T12:23:08Z Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes Alessio, Florencia Ivette Bongiorno, Vanina Aylén Marcone, Carmine Conci, Luis Rogelio Fernandez, Franco Daniel Phylogeny Selection Phytoplasmas Filogenia Selección Fitoplasmas Membrane Proteins X-disease Imp IdpA Phytoplasmas of the X-disease group (16SrIII) are economically significant pathogens in South America, causing severe crop losses. Traditional classification based on the 16S rRNA gene has limitations in resolving closely related strains, prompting the exploration of alternative markers. This study focuses on the immunodominant membrane proteins imp and idpA, which exhibit high variability and play crucial roles in host–pathogen interactions. Through molecular characterization of imp and idpA genes in 16SrIII subgroups, we identified significant genetic diversity and distinct evolutionary pressures. The imp gene, under positive selection, showed high variability in its hydrophilic extracellular domain, suggesting adaptation to host immune responses. In contrast, idpA exhibited strong negative selection, indicating functional conservation. Phylogenetic analyses revealed that imp and idpA provide higher resolution than the 16S rRNA gene, enabling finer differentiation within subgroups. These findings highlight the potential of imp and idpA as complementary markers for phytoplasma classification and diagnostics. Instituto de Patología Vegetal Fil: Alessio, Florencia Ivette. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Alessio, Florencia Ivette. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Bongiorno, Vanina Aylén. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Bongiorno, Vanina Aylén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Marcone, Carmine. University of Salerno. Department of Pharmacy; Italia Fil: Conci, Luis Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Conci, Luis Rogelio. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Fernandez, Franco Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Fernandez, Franco Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina 2025-06-19T12:15:52Z 2025-06-19T12:15:52Z 2025-05-21 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/22731 https://www.mdpi.com/2076-2607/13/5/1170 2076-2607 https://doi.org/10.3390/microorganisms13051170 eng info:eu-repograntAgreement/INTA/2019-PD-E4-I085-001, Determinación de los mecanismos de resistencia a enfermedades mediante la caracterización de las interacciones moleculares en sistemas planta-patógeno info:eu-repograntAgreement/INTA/2019-PD-E4-I081-001, Generación de reactivos, desarrollo de metodologías, validación y acreditación de ensayos para el diagnóstico de patógenos vegetales info:eu-repograntAgreement/INTA/2023-PE-L06-I090, Desarrollo de tecnologías para la innovación inclusiva en mecanización, energías renovables y mejoramiento del hábitat para la Agricultura Familiar Campesina e Indígena info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf MDPI Microorganisms 13 (5) : 1170 (May 2025)
spellingShingle Phylogeny
Selection
Phytoplasmas
Filogenia
Selección
Fitoplasmas
Membrane Proteins
X-disease
Imp
IdpA
Alessio, Florencia Ivette
Bongiorno, Vanina Aylén
Marcone, Carmine
Conci, Luis Rogelio
Fernandez, Franco Daniel
Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title_full Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title_fullStr Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title_full_unstemmed Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title_short Genetic Diversity in Phytoplasmas from X-Disease Group Based in Analysis of idpA and imp Genes
title_sort genetic diversity in phytoplasmas from x disease group based in analysis of idpa and imp genes
topic Phylogeny
Selection
Phytoplasmas
Filogenia
Selección
Fitoplasmas
Membrane Proteins
X-disease
Imp
IdpA
url http://hdl.handle.net/20.500.12123/22731
https://www.mdpi.com/2076-2607/13/5/1170
https://doi.org/10.3390/microorganisms13051170
work_keys_str_mv AT alessioflorenciaivette geneticdiversityinphytoplasmasfromxdiseasegroupbasedinanalysisofidpaandimpgenes
AT bongiornovaninaaylen geneticdiversityinphytoplasmasfromxdiseasegroupbasedinanalysisofidpaandimpgenes
AT marconecarmine geneticdiversityinphytoplasmasfromxdiseasegroupbasedinanalysisofidpaandimpgenes
AT conciluisrogelio geneticdiversityinphytoplasmasfromxdiseasegroupbasedinanalysisofidpaandimpgenes
AT fernandezfrancodaniel geneticdiversityinphytoplasmasfromxdiseasegroupbasedinanalysisofidpaandimpgenes