Selection of Stable Real‐Time Quantitative <scp>PCR</scp> Reference Genes for the Beech Leaf Disease Nematode <i>Litylenchus crenatae</i>

ABSTRACT Beech leaf disease (BLD) is rapidly spreading throughout beech forests in the northeastern regions of North America, posing a significant ecological threat to these ecosystems. The etiological agent in this disease is the foliar nematode Litylenchus crenatae . To unravel the molecular mechanisms governing L. crenatae parasitism and pathogenicity, it is essential to analyse its gene expression profiles. Accurate quantification of gene expression using reverse transcription quantitative PCR (RT‐qPCR) requires stable internal reference genes for normalisation. To date, no comprehensive studies have identified or validated suitable internal reference genes for L. crenatae across relevant stages of BLD. In this study, we evaluated nine candidate reference genes from L. crenatae and systematically evaluated their expression stability across various developmental stages and plant‐interaction conditions. Our analysis identified two genes coding an EF‐hand domain‐containing protein ( EF‐hand ) and a Ubiquitin‐conjugating enzyme 2 ( UBQ2 ) that exhibited the most stable expression profiles, indicating their suitability as internal controls for RT‐qPCR assays in this nematode. Utilising these reference genes, we further characterised the expression profiles of four parasitism‐related genes. These target genes were assessed across different nematode developmental stages collected from infected buds and leaves. Overall, our results provide suitable reference genes for accurate gene expression studies in L. crenatae , contributing to a better understanding of the molecular interaction between this nematode and its beech hosts.

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Journal
Forest Pathology
Published
2025-09-23
DOI
https://doi.org/10.1111/efp.70039
Primary Topic
Nematode management and characterization studies
Type
article
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article

Selection of Stable Real‐Time Quantitative PCR Reference Genes for the Beech Leaf Disease Nematode Litylenchus crenatae

Emily S. A. Wolf, Paulo Vieira, Robert Marra
Forest Pathology
Nematode management and characterization studies
article

Selection of Stable Real‐Time Quantitative PCR Reference Genes for the Beech Leaf Disease Nematode Litylenchus crenatae

Emily S. A. Wolf, Paulo Vieira, Robert Marra
article en

Abstract

ABSTRACT Beech leaf disease (BLD) is rapidly spreading throughout beech forests in the northeastern regions of North America, posing a significant ecological threat to these ecosystems. The etiological agent in this disease is the foliar nematode Litylenchus crenatae . To unravel the molecular mechanisms governing L. crenatae parasitism and pathogenicity, it is essential to analyse its gene expression profiles. Accurate quantification of gene expression using reverse transcription quantitative PCR (RT‐qPCR) requires stable internal reference genes for normalisation. To date, no comprehensive studies have identified or validated suitable internal reference genes for L. crenatae across relevant stages of BLD. In this study, we evaluated nine candidate reference genes from L. crenatae and systematically evaluated their expression stability across various developmental stages and plant‐interaction conditions. Our analysis identified two genes coding an EF‐hand domain‐containing protein ( EF‐hand ) and a Ubiquitin‐conjugating enzyme 2 ( UBQ2 ) that exhibited the most stable expression profiles, indicating their suitability as internal controls for RT‐qPCR assays in this nematode. Utilising these reference genes, we further characterised the expression profiles of four parasitism‐related genes. These target genes were assessed across different nematode developmental stages collected from infected buds and leaves. Overall, our results provide suitable reference genes for accurate gene expression studies in L. crenatae , contributing to a better understanding of the molecular interaction between this nematode and its beech hosts.

Forest PathologyVol. 55(5)
United States Department of Agriculture (US), Connecticut Agricultural Experiment Station (US), Beltsville Agricultural Research Center (US)
Openalex Percentile: Top 81%
Nematode management and characterization studies
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