Evidence map›Paper›PMID 39987466›Full record

ArticlePlant communications2025

WP-MOD: A multi-omics and taxonomy database for woody plants.

Qi Wang, Shaoxuan Luo, Yixiang Yang, Yawen Bai, Junrong Wei, Ke-Wang Xu, Yong Yang, Meng Li, Xiaozeng Yang, Yifan Duan and 1 more

Abstract read
In one paragraph

Article in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Qi WangCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Shaoxuan LuoCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Yixiang YangCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Yawen BaiCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Junrong WeiCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Ke-Wang XuCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Yong YangCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Meng LiCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Xiaozeng YangState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China. Electronic address: yangxz@ibcas.ac.cn.
Yifan DuanCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China. Electronic address: yifanduan@njfu.edu.cn.
Zhonglong GuoCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China. Electronic address: guozhl@njfu.edu.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

Woody plants, including trees, shrubs, and woody vines, are vital components of terrestrial ecosystems and are critical for maintaining biodiversity, regulating climate, and supporting human livelihoods. Over the past decade, the accumulation of high-throughput sequencing data, multi-omics data, and taxonomic information on woody plants has increased significantly, highlighting the need for an integrative database. Here, we present the Woody Plant Multi-Omics Database (WP-MOD, https://www.woodyplant.com), a comprehensive and user-friendly platform designed to meet the growing need for specialized resources in woody plant research. The WP-MOD integrates extensive taxonomic information and multi-omics data from 373 species across 35 orders and provides a centralized resource for the analysis and exploration of woody plant biology. The database includes high-quality reference genomes and reanalyzed data from RNA sequencing, small RNA sequencing, chromatin immunoprecipitation sequencing, assay for transposase-accessible chromatin sequencing, and bisulfite sequencing, along with 17 tools for sequence and omics analysis. The WP-MOD supports both genetic and molecular research and contributes to the conservation and sustainable management of woody plants. We believe that the WP-MOD will be an essential tool for plant science researchers.

Indexed as

Databases, GeneticPlantsGenome, PlantGenomicsMultiomicsWooddatabasegermplasmsmulti-omicstaxonomywoody plants

Identifiers

PMID39987466
PMCPMC12010388

What OpenQuestion holds

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Registered trials

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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.