Yeping Han , Xuelian Jiang

Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Tree Genetics and Molecular Breeding, 2024, Vol. 14, No. 3   
Received: 13 Apr., 2024    Accepted: 15 May, 2024    Published: 22 May, 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The advent of high-throughput sequencing technologies has revolutionized the field of tree genomics, enabling comprehensive mapping and functional analysis of tree genomes. This study synthesizes recent advancements in tree genomics, highlighting the integration of genomic, phenotypic, and environmental data to understand tree biology and improve forest health. Key findings include the development of standardized genome-wide function prediction tools, such as GOMAP, which facilitate comparative functional genomics across multiple species. Resources like PhyloGenes provide phylogenetic trees and experimentally validated gene functions, aiding in the functional inference of uncharacterized genes. This study also discusses the genomic studies of hardwood trees, which have linked genes to ecological and developmental traits, and the use of genomic prediction models for breeding. Additionally, the application of genome-wide association studies (GWAS) and joint-GWAS approaches in Eucalyptus has identified significant genetic associations with growth traits, enhancing tree breeding efforts. This study underscores the importance of integrating genomic data with environmental and phenotypic data through advanced cyberinfrastructure and databases to improve forest health and productivity. Emerging technologies and methodologies, such as RADseq and KEGG mapping tools, are also explored for their potential to uncover hidden features in tree genomes and facilitate large-scale genomic studies. This study provides a roadmap for future research in tree genomics, emphasizing the need for collaborative efforts and advanced analytical tools to decode the complex biology of trees.

Tree genomics; Comparative functional genomics; GWAS; Genomic prediction; Cyberinfrastructure