Edoardo Bertolini

The paper identifies regulatory variation underlying pleiotropy between leaf angle and tassel branch number in maize using context-specific developmental networks and genome-wide association analyses.

The paper uses gene regulatory networks from maize to inform genomic prediction models for plant architecture traits, finding that markers near highly connected transcription factors improve prediction accuracy in maize and related crops.

The paper presents the first de novo transcriptome assembly of the Italian white truffle, providing a reference for genomics and genetic studies.

This study identifies and characterizes long non-coding RNAs in two wild wheat progenitors, revealing their organ-specific expression, association with transposable elements, and conservation across species.