Exploring the genetic basis of heterosis in eucalypt growth based on transcriptome analysis (PRJCA045120)
This investigation employed transcriptome sequencing to identify 6 pathways and 8 hub genes potentially linked to growth variations in eucalypt. The identification of candidate genes and pathways offers valuable genetic insights for eucalypt genome-based or molecular marker-assisted selection breeding programs. A key innovation was the integration of Python programming into forest genomics, significantly enhancing the efficiency and precision of gene screening.