Evidence map›Paper›PMID 40413228›Full record

ArticleScientific data2025

Comprehensive curation and validation of genomic datasets for chestnut.

Jialu Fan, Yu Zhang, Xinghua Nie, Yang Liu, Shangxiao Wei, Haixu Peng, Hanlei Li, Mingjun Zhang, Lu Ning, Sen Wang and 3 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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

13 authors.

Jialu Fan *Beijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Yu Zhang *Beijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.ORCID http://orcid.org/0009-0005-6907-7393
Xinghua NieBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Yang LiuBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Shangxiao WeiBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Haixu PengBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Hanlei LiBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Mingjun ZhangBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Lu NingLibrary, Beijing University of Agriculture, Beijing, 102206, China.
Sen WangBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.ORCID http://orcid.org/0000-0002-3497-3068
Ling QinBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Yi ZhengBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China. yz@moilab.net.ORCID http://orcid.org/0000-0002-8042-7770
Yu XingBeijing Key Laboratory for Agriculture Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China. xingyu@bua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chinese chestnut (Castanea mollissima) stands out as a plant with significant ecological and economic value, excellent nutritional quality and natural resistance to pests and diseases. Recent strides in high-throughput techniques have enabled the continuous accumulation of genomic data on chestnuts, presenting a promising future for genetic research and advancing traits in this species. To facilitate the accessibility and utility of this data, we have curated and analyzed a collection of genomic datasets for eight Castanea species, including functional annotations, 213 RNA-Seq samples, and 330 resequencing samples. These datasets are publicly available on Figshare and are also available through other platforms such as GEO and EVA, providing a valuable resource for researchers studying Castanea genetics, functional genomics, and evolutionary biology. Furthermore, the datasets are integrated into the Castanea Genome Database (CGD, http://castaneadb.net ), which serves as a complementary platform, offering advanced data mining and analysis tools, including BLAST, Batch Query, GO/KEGG Enrichment Analysis, and Synteny Viewer, to enhance the usability of the curated datasets.

Indexed as

FagaceaeGenome, PlantDatabases, GeneticData CurationGenomicsMolecular Sequence Annotation

Identifiers

PMID40413228
PMCPMC12103606

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.