Evidence map›Paper›PMID 42428322›Full record

ArticlePlant direct2026

Insights Into the Regulation of Salt Tolerance by Flavonoid and Cyanoamino Acid Metabolism in Sorghum-Sudangrass Hybrids.

Yue Shi, Zili Liu, Shuancheng Liu, Wenjuan Chai, Junxiang Mu

Abstract read
In one paragraph

Article in Plant direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yue ShiCollege of Life Science and Technology Jining Normal University Ulanqab China.ORCID https://orcid.org/0009-0004-6710-3757
Zili LiuCollege of Life Science and Technology Jining Normal University Ulanqab China.
Shuancheng LiuCollege of Life Science and Technology Jining Normal University Ulanqab China.
Wenjuan ChaiCollege of Life Science and Technology Jining Normal University Ulanqab China.
Junxiang MuCollege of Life Science and Technology Jining Normal University Ulanqab China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clarifying the molecular mechanisms underlying salt tolerance in high-performing sorghum-sudangrass hybrids can aid the identification of salt tolerance genes. Here, the previously screened salt-tolerant sorghum-sudangrass hybrid variety MN9 and the salt-sensitive variety MN4 were grown in sand-filled pots. At the five-leaf stage (21 days after sowing), seedlings were subjected to NaCl solutions at six concentrations (0, 70, 140, 210, 280, and 350 mM). After 72 h of treatment, mature leaves were collected to determine physiological indices across all concentrations. We then conducted transcriptome sequencing of leaf samples from the 0 mM (control) and 280 mM (high salt stress) treatments, and the sequencing results were validated by qRT-PCR. Under salt stress, MN9 maintained a high relative chlorophyll content (SPAD value), accumulated significantly more proline than MN4, and showed high peroxidase (POD) activity throughout the treatment period. Transcriptome profiling revealed 4340 differentially expressed genes (DEGs) between the salt-tolerant and salt-sensitive varieties under salt stress, including 2624 upregulated and 1716 downregulated genes. KEGG enrichment analysis showed that, under control conditions, genes in both varieties were enriched in the photosynthesis pathway; SORBI_3001G147400 (

Indexed as

cyanoamino acid metabolismflavonoid biosynthesissalt tolerancesorghum‐sudangrass hybridstranscriptome

Identifiers

PMID42428322
PMCPMC13346354

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.