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Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
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Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
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Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
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Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches
Journal Article

Insights into Leptocybe invasa resistance in Eucalyptus: phenotyping, genotyping and in silico approaches

2024
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Overview
The gall wasp, Leptocybe invasa, poses a significant global threat to Eucalyptus cultivation, by causing substantial economic losses. The objective of this study was to differentiate between resistant and susceptible genotypes by morphological characteristics using image analysis based on the damage caused by the gall wasp. In addition, consensus sequences derived from transposable elements (TEs) and the genome of Eucalyptus spp. Were identified by in silico analysis. Furthermore, another objective was to discriminate Eucalyptus genotypes in response to Leptocybe invasa by conducting molecular analyses involving transposable elements and inter simple sequence markers. For image analysis, the GroundEye ® system was used to collect images of 60 leaves from six genotypes, three of which were resistant and three susceptible. Eucalyptus spp. sequences were obtained from the GenBank database by in silico analysis and pairwise alignments with TE sequences were conducted using BLASTN. Multiple sequence alignment was performed with Clustal Omega, followed by the identification of conserved regions in Jalview. A motif signature was generated using Weblogo. For molecular characterization using ISSR markers and TEs, samples of young leaves were obtained from a total of 80 Eucalyptus seedlings, of which 50 were classified as resistant and 30 as susceptible to L. invasa. It was possible to distinguish gall wasp susceptible and resistant genotypes by image analysis. In silico analysis enabled the identification of conserved regions in the Eucalyptus spp. genome, which were associated with proteins involved in secondary metabolite production, e.g., terpenes, which play a role in the response to L. invasa. The discrimination capacity of TEs and ISSR primers was demonstrated and bands were generated that could be used to identify resistant genotypes. However, increasing the number of markers required to discriminate genotypes in both cases is suggested.