Chromosome-scale genomes of commercial timber trees (Ochroma pyramidale, Mesua ferrea, and Tectona grandis)

Author:

Sahu Sunil KumarORCID,Liu Min,Chen Yewen,Gui Jinshan,Fang Dongming,Chen XiaoliORCID,Yang Ting,He Chengzhong,Cheng Le,Yang Jinlong,Sahu Durgesh Nandini,Li LinzhouORCID,Wang Hongli,Mu Weixue,Wei JinpuORCID,Liu Jie,Zhao Yuxian,Zhang Shouzhou,Lisby MichaelORCID,Liu XinORCID,Xu XunORCID,Li Laigeng,Wang Sibo,Liu HuanORCID

Abstract

AbstractWood is the most important natural and endlessly renewable source of energy. Despite the ecological and economic importance of wood, many aspects of its formation have not yet been investigated. We performed chromosome-scale genome assemblies of three timber trees (Ochroma pyramidale, Mesua ferrea, and Tectona grandis) which exhibit different wood properties such as wood density, hardness, growth rate, and fiber cell wall thickness. The combination of 10X, stLFR, Hi-Fi sequencing and HiC data led us to assemble high-quality genomes evident by scaffold N50 length of 55.97 Mb (O. pyramidale), 22.37 Mb (M. ferrea) and 14.55 Mb (T. grandis) with >97% BUSCO completeness of the assemblies. A total of 35774, 24027, and 44813 protein-coding genes were identified in M. ferrea, T. grandis and O. pyramidale, respectively. The data generated in this study is anticipated to serve as a valuable genetic resource and will promote comparative genomic analyses, and it is of practical importance in gaining a further understanding of the wood properties in non-model woody species.

Funder

Major Science and Technology Projects of Yunnan Province

The Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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