Evidence map›Paper›PMID 38106430›Full record

ArticleaBIOTECH2023

Mining salt stress-related genes in

Shang Gao, Shoukun Chen, Maogeng Yang, Jinran Wu, Shihua Chen, Huihui Li

Open access · hybridAbstract read
In one paragraph

Article in aBIOTECH, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Evolutionary expansion of theFrontiers in plant science · 2026
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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 at 3 institutions in 2 countries.

Shang Gao *State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.
Shoukun Chen *State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.
Maogeng YangState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.
Jinran WuThe Institute for Learning Sciences and Teacher Education, Australian Catholic University, Brisbane, QLD 4001 Australia.
Shihua ChenKey Laboratory of Plant Molecular & Developmental Biology, College of Life Sciences, Yantai University, Yantai, 264005 China.
Huihui LiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.ORCID 0000-0002-9117-5011
Yantai University · CNChinese Academy of Agricultural Sciences · CNAustralian Catholic University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing number of sequenced species, phylogenetic profiling (PP) has become a powerful method to predict functional genes based on co-evolutionary information. However, its potential in plant genomics has not yet been fully explored. In this context, we combined the power of machine learning and PP to identify salt stress-related genes in a halophytic grass, Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-023-00125-5.

Indexed as

Evolutionary informationMachine learningPhylogenetic profilingSalt stress-related geneSpartina alterniflora

Identifiers

PMID38106430
PMCPMC10721760
OpenAlexW4389443224

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.