Evidence map›Paper›PMID 41129697›Full record

ArticlePlant physiology2025

SPDEv3.0: A multidisciplinary integrated data analysis platform.

Dong Xu, Kangming Jin, Quanling Zhang, Xianjia Zhao, Yanchun Li, Tingkai Wu, Xiaobo Wang, Yuan Yuan, Zewei An, Zhi Deng and 2 more

Abstract read
In one paragraph

Article in Plant physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Dong XuState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.ORCID 0000-0001-7290-6707
Kangming JinState Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-5095-4190
Quanling ZhangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Xianjia ZhaoBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0008-4144-9425
Yanchun LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0009-0005-2901-4937
Tingkai WuState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.ORCID 0000-0003-3931-8318
Xiaobo WangState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
Yuan YuanState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.ORCID 0000-0001-7255-5644
Zewei AnState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.ORCID 0000-0001-8462-4571
Zhi DengState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.ORCID 0000-0001-8726-1198
Wenguan WuState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
Han ChengState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.

Funding

Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center CATASCXTD202401Hainan Province Science and Technology Talent Innovation Project KJRC2023C18Nanhai New Star Technology Innovation Talent Platform Project of Hainan Province NHXXRCXM202330National Scientific Fund of China 32471914Project of National Key Laboratory for Tropical Crop Breeding NKLTCB202321Project of National Key Laboratory for Tropical Crop Breeding NKLTCBCXTD01Project of National Key Laboratory for Tropical Crop Breeding NKLTCB-RC202404
6 · The paper itself

Abstract

Plant research faces persistent challenges in integrating heterogeneous data and ensuring compatibility across diverse analytical pipelines. The limited automation of existing tools often results in fragmented workflows, reducing analytical efficiency and reproducibility. To address these limitations, we developed SPDEv3.0 as a fully integrated bioinformatics platform with a graphical user interface, consolidating more than 130 functions across seven logically connected modules. SPDEv3.0 streamlines key tasks such as gene family identification, primer design, and genome feature extraction through high-level automation, enabling users to perform complex bioinformatic workflows with minimal manual intervention. For instance, collinearity analysis between Arabidopsis thaliana and A. halleri can be completed in under 2 min using only genome and annotation files, with all intermediate steps executed automatically. In addition, SPDEv3.0 offers over 30 customizable visualization functions, including genomic feature mapping, domain structure illustration, heatmaps, Circos plots, and statistical charting, all designed to help users generate publication-ready figures without coding. A total of 40 classical breeding methods have been implemented in SPDEv3.0, all of which support automated computation following user data input. Benchmarking across a range of plant genomes (including those exceeding 14 Gb) demonstrates SPDEv3.0's robust performance, scalability, and practical utility. By integrating high automation, module interoperability, and extensive visualization capacity, SPDEv3.0 provides a powerful and accessible solution for modern plant genomics and breeding research.

Indexed as

Computational BiologyData AnalysisSoftwareArabidopsisGenome, PlantGenomicsPlant BreedingUser-Computer Interface

Identifiers

PMID41129697
PMCPMC12596362

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.