Chromosome-scale genomes of five Hongmu species in Leguminosae

• Published in: Scientific data Vol. 10; no. 1; pp. 710 - 8
• Main Authors: Yang, Jinlong, Liu, Min, Sahu, Sunil Kumar, Li, Ruirui, Wang, Guanlong, Guo, Xing, Liu, Jianmei, Cheng, Le, Jiang, Huayan, Zhao, Feng, Wei, Shuguang, Luo, Shixiao, Liu, Huan
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17-10-2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647/48; 631/208/212/748; 631/208/514/1948; Chromosomes; Dalbergia cochinchinensis; Dalbergia cultrata; Data Descriptor; Disease resistance; Economic importance; Fabaceae - genetics; Flowering; Genome, Plant; Genomes; Humanities and Social Sciences; Legumes; Leguminosae; multidisciplinary; Phylogeny; Pterocarpus - chemistry; Pterocarpus - genetics; Pterocarpus macrocarpus; Pterocarpus santalinus; Science; Science (multidisciplinary); Senna siamea
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-023-02593-2

The Legume family (Leguminosae or Fabaceae), is one of the largest and economically important flowering plants. Heartwood, the core of a tree trunk or branch, is a valuable and renewable resource employed for centuries in constructing sturdy and sustainable structures. Hongmu refers to a category of precious timber trees in China, encompassing 29 woody species, primarily from the legume genus. Due to the lack of genome data, detailed studies on their economic and ecological importance are limited. Therefore, this study generates chromosome-scale assemblies of five Hongmu species in Leguminosae:
Pterocarpus santalinus, Pterocarpus macrocarpus, Dalbergia cochinchinensis, Dalbergia cultrata, and Senna siamea
, using a combination of short-reads, long-read nanopore, and Hi-C data. We obtained 623.86 Mb, 634.58 Mb, 700.60 Mb, 645.98 Mb, and 437.29 Mb of pseudochromosome level assemblies with the scaffold N50 lengths of 63.1 Mb, 63.7 Mb, 70.4 Mb, 61.1 Mb and 32.2 Mb for
P. santalinus
,
P. macrocarpus
,
D. cochinchinensis
,
D. cultrata
and
S. siamea
, respectively. These genome data will serve as a valuable resource for studying crucial traits, like wood quality, disease resistance, and environmental adaptation in Hongmu.