Evidence map›Paper›PMID 39363927›Full record

ArticleFrontiers in plant science2024

Extensive transcriptome data providing great efficacy in genetic research and adaptive gene discovery: a case study of

Yanli Xiong, Daxu Li, Tianqi Liu, Yi Xiong, Qingqing Yu, Xiong Lei, Junming Zhao, Lijun Yan, Xiao Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2024. 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. Frontiers in plant science · 2026
    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

9 authors.

Yanli Xiong *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Daxu Li *Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China.
Tianqi LiuCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Yi XiongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Qingqing YuSichuan Academy of Grassland Sciences, Chengdu, Sichuan, China.
Xiong LeiSichuan Academy of Grassland Sciences, Chengdu, Sichuan, China.
Junming ZhaoCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Lijun YanSichuan Academy of Grassland Sciences, Chengdu, Sichuan, China.
Xiao MaCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic markers play a central role in understanding genetic diversity, speciation, evolutionary processes, and how species respond to environmental stresses. However, conventional molecular markers are less effective when studying polyploid species with large genomes. In this study, we compared gene expression levels in 101 accessions of

Indexed as

adaptabilityElymus sibiricusgenome skimmingSNPstranscriptomeWGCNA

Identifiers

PMID39363927
PMCPMC11447521

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.