Xingde Wang ¹ , Deming Yu ² , Qishan Chen ²

1 Institute of Life Sciences, Jiyang College, Zhejiang A&F University, Zhuji, 311800, Zhejiang, China 2 Modern Agricultural Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Legume Genomics and Genetics, 2024, Vol. 15, No. 3   doi: 10.5376/lgg.2024.15.0013
Received: 07 May, 2024    Accepted: 08 Jun., 2024    Published: 19 Jun., 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.

Wang X.D., Yu D.M., and Chen Q.S., 2024, Genomic insights into Robinia pseudoacacia: implications for silviculture and beyond, Legume Genomics and Genetics, 15(3): 118-125 (doi: 10.5376/lgg.2024.15.0013)

Robinia pseudoacacia, commonly known as black locust, is a versatile tree species valued for its rapid growth, nitrogen-fixing ability, and high-quality timber. This study explores the genomic insights uncovered in recent years, providing a comprehensive understanding of the genetic composition and functional genomics of this species. Advances in next-generation sequencing technologies have facilitated the assembly of the black locust genome, revealing key genes and pathways involved in its growth, development, and stress responses. These insights are crucial for improving silvicultural practices, enabling the development of improved varieties with higher growth rates, better wood quality, and increased resistance to pests and diseases. Understanding the genomic basis of nitrogen fixation in R. pseudoacacia can lead to the development of more efficient agroforestry systems, contributing to sustainable agriculture and soil improvement. This study also explores the potential of genetic modification and biotechnological approaches to further enhance the desirable traits of black locust, paving the way for its expanded use in various applications, including bioenergy production and ecological restoration. Overall, integrating genomic data with traditional breeding and silvicultural techniques holds great promise for optimizing the utilization of R. pseudoacacia, addressing both economic and environmental challenges.

Genomic insights; Robinia pseudoacacia; Silviculture; Nitrogen fixation next-generation sequencing