Evidence map›Paper›PMID 41663398›Full record

ArticleScientific data2026

Chromosome-level genome assembly of the medicinal plant Ophiorrhiza japonica Blume.

Xiaoxin Tang, Yunjing Liu, Yiying Liao, Ming Tang, Tuo Yang, Yin Yi

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaoxin Tang *Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Science, Guizhou Normal University, Guiyang, China.
Yunjing Liu *Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Science, Guizhou Normal University, Guiyang, China.
Yiying Liao *Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China.
Ming TangKey Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Science, Guizhou Normal University, Guiyang, China. mingtang@gznu.edu.cn.
Tuo YangKey Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China. yangtuo@szbg.ac.cn.
Yin YiKey Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Science, Guizhou Normal University, Guiyang, China. gzklppdr@gznu.edu.cn.

Funding

China Scholarship Council (CSC) 202308520101National Natural Science Foundation of China (National Science Foundation of China) 32360330National Natural Science Foundation of China (National Science Foundation of China) U1812401Urban Management Bureau of Shenzhen Municipality 202406
6 · The paper itself

Abstract

Ophiorrhiza japonica, a medicinal plant of Rubiaceae, has been selected as a model plant for the study of MIA biosynthesis and regulation, as well as a sustainable source of camptothecin. Here, we performed an assembly and annotation of O. japonica genome. To achieve this, we employed a range of advanced techniques, including flow cytometry, PacBio HiFi sequencing, ONT RNA-sequencing and Hi-C technology. This approach enabled us to construct a high quality, chromosome-level genome of O. japonica. The assembled O. japonica genome spanned 549.81 Mb with a contig N50 size of 43 Mb and a scaffold N50 size of 46.45 Mb. The 24 contigs, representing 99.42% of the total assembled genome, were anchored to 11 chromosomes using Hi-C scaffolding. A total of 313.49 Mb of repeat sequences were identified and 28,182 protein-coding genes were predicted. The findings of this study provide invaluable genomic resources that will facilitate a deeper understanding of species evolution and enable the investigation of a range of crucial traits.

Indexed as

Chromosomes, PlantGenome, PlantPlants, MedicinalRubiaceae

Identifiers

PMID41663398
PMCPMC12996613

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.