Chromosome-scale genome assembly and annotation of Huzhang (Reynoutria japonica).

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2025-03-21 DOI:10.1038/s41597-025-04773-8

Jumei Zhang, Qing Xu, Lei You, Bin Li, Zezhi Zhang, Wenyao Lin, Xiangyin Luo, Zhengxiu Ye, Lanlan Zheng, Chen Li, Junpeng Niu, Guodong Wang, Honghong Hu, Chao Zhou, Yonghong Zhang

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Abstract

Reynoutria japonica, commonly known as Huzhang or Japanese knotweed, is a perennial herbaceous plant belonging to the family Polygonaceae and order Caryophyllales. This plant is valued for its traditional medicinal uses in China. In this study, we present a high-quality, chromosome-scale reference assembly for R. japonica using a combination of PacBio long-read sequencing, Hi-C reads, and Illumina short-read sequencing. The final assembled genome spans approximately 3.30 Gb, with a contig N50 of 1.39 Mb. Notably, 99.22% of the assembled sequences were anchored to 22 pseudo-chromosomes, and 74.79% of the genome is composed of repetitive elements. Genome annotation revealed 68,646 protein-coding genes and 14,788 non-coding RNAs. This genomic resource provides a robust foundation for comparative genomics and will enable deep insights into the evolutionary relationships across related species.

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胡张（Reynoutria japonica）染色体级基因组组装与注释。

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.