I. Background:
Plant phenotyping has been a bottleneck for selecting insect-resistant plants in breeding programs. Our objectives were to: use text-mining tools to investigate state of the art about Leptocybe invasa in Eucalyptus; identify associated molecular interactions involving genes as a candidate and their impact and associated metabolites pathways and determine how products are currently used to control this insect as patents.
II. Methods and Results:
The literature survey was explored by title, abstract, and keywords of scientific articles, a database of genes and protein sequences, and patents. Nucleotide and protein sequences were mined in public banks. In the literature, we searched for homology to known genes or predicted proteins with sequences described in Eucalyptus sp. To obtain a broad set of studies, we accessed literature data of the last 20 years conducted with combinations of search terms “Leptocybe invasa” OR “eucalyptus gall wasp” AND “control”. Patents were prospected and analyzed using Orbit Intelligence patent research software
III. Conclusions:
Succinct interpretation of results as well as significance of findings. Statement There are perspectives to access the genotype resistance; furthermore, it is critical managing the evaluable information as state of the art to overcome the damages of L. invasa beyond the genotype selection. The target genes found in this research can serve as a basis for further functional characterizations of Eucalyptus genes possibly related to response expression to L. invasa.