Document Type
Article
Publication Date
8-31-2022
Department
College of Forest Resources and Environmental Science
Abstract
Forests are not only the most predominant of the Earth's terrestrial ecosystems, but are also the core supply for essential products for human use. However, global climate change and ongoing population explosion severely threatens the health of the forest ecosystem and aggravtes the deforestation and forest degradation. Forest genomics has great potential of increasing forest productivity and adaptation to the changing climate. In the last two decades, the field of forest genomics has advanced quickly owing to the advent of multiple high-throughput sequencing technologies, single cell RNA-seq, clustered regularly interspaced short palindromic repeats (CRISPR)-mediated genome editing, and spatial transcriptomes, as well as bioinformatics analysis technologies, which have led to the generation of multidimensional, multilayered, and spatiotemporal gene expression data. These technologies, together with basic technologies routinely used in plant biotechnology, enable us to tackle many important or unique issues in forest biology, and provide a panoramic view and an integrative elucidation of molecular regulatory mechanisms underlying phenotypic changes and variations. In this review, we recapitulated the advancement and current status of 12 research branches of forest genomics, and then provided future research directions and focuses for each area. Evidently, a shift from simple biotechnology-based research to advanced and integrative genomics research, and a setup for investigation and interpretation of many spatiotemporal development and differentiation issues in forest genomics have just begun to emerge.
Publication Title
Forestry Research
Recommended Citation
Borthakur, D.,
Busov, V.,
Cao, X. H.,
Du, Q.,
Gailing, O.,
Isik, F.,
Wei, H.,
&
et. al.
(2022).
Current status and trends in forest genomics.
Forestry Research,
2(11).
http://doi.org/10.48130/FR-2022-0011
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16628
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2022 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. Publisher’s version of record: https://doi.org/10.48130/FR-2022-0011