Analysis of Molecular Genetic Mechanism of Wood Development
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Plant Sciences".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 1464
Special Issue Editor
Interests: functional genomics of woody plants; secondary cell wall biosynthesis; transcriptional and post-transcriptional regulation; plant biotechnology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wood plays a crucial role in the growth and survival of plants by providing support, protection, and storage functions, as well as being a vital resource for human life. Understanding the molecular mechanisms of wood development is essential for advancing our knowledge of the formation and properties of wood, improving the quality and yield of forest trees, and promoting the development of the wood industry.
In recent years, advances in molecular biology and omics technologies have enriched our understanding of the fundamental processes and regulatory networks involved in plant development. The application of gene editing technologies enables scientists to precisely manipulate plant genes, thereby are expected to drive future progress in plant breeding and genetic improvement. Certainly, these breakthroughs helped us study tree-specific traits such as wood formation.
This special issue intends to bring forward the latest research in genetic and environmental/hormonal signals regulation of wood development across different tree species, discussing the molecular mechanisms that determine cambial development, vascular tissue formation, and cell wall biosynthesis. All types of original papers, such as original research articles and reviews, are welcome.
Prof. Dr. Keming Luo
Guest Editor
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Keywords
- genetics
- epigenetics
- genomics
- evolution
- cell wall biosynthesis
- vascular cambium
- hormone signal transduction
- secondary vascular tissues
- cell division and differentiation
- environmental
- endogenous signals
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