Evidence map›Paper›PMID 38227064›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Transcriptome analysis and identification of the low potassium stress-responsive gene SiSnRK2.6 in foxtail millet (Setaria italica L.).

Xiaoqian Ma, Najeeb Ullah Khan, Shutao Dai, Na Qin, Zanping Han, Bing Guo, Junxia Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Harnessing Setaria as a Model for CPlants (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Millets for a sustainable future.Journal of experimental botany · 2025
    Review
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

7 authors at 3 institutions in 1 country.

Xiaoqian MaCollege of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China.
Najeeb Ullah KhanCollege of Agriculture, China Agricultural University, Beijing, 100193, China.
Shutao DaiCereal Crops Institute, Henan Academy of Agriculture Sciences, Zhengzhou, 450002, China.
Na QinCereal Crops Institute, Henan Academy of Agriculture Sciences, Zhengzhou, 450002, China.
Zanping HanCollege of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China.
Bing GuoCollege of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China.
Junxia LiCereal Crops Institute, Henan Academy of Agriculture Sciences, Zhengzhou, 450002, China. lijunxia@126.com.ORCID http://orcid.org/0000-0001-9507-0471
Henan Academy of Agricultural Sciences · CNHenan University of Science and Technology · CNChina Agricultural University · CN

Funding

Henan Academy of Agricultural Sciences 2022010401Henan Province Foundation for University Key Teacher 13480103Henan Provincial Science and Technology Research Project Z20221341070
6 · The paper itself

Abstract

key messageThe transcriptome is beneficial for dissecting the mechanism of millet in response to low potassium stress and SiSnRK2.6 was identified as a potential target for improving low potassium stress tolerance. Foxtail millet (Setaria italica L.), which originated in China, has high nutrient utilization character. Nevertheless, the molecular mechanism of its tolerance to low potassium stress is largely unclear. In this research, the low potassium tolerant variety "Yugu28" was screened out by low potassium stress treatment, and the transcriptome of "Yugu28" under low potassium stress was comprehensively analyzed. A total of 4254 differentially expressed genes (DEGs) were identified, including 1618 up-regulated and 2636 down-regulated genes, respectively. In addition, there were 302 transcription factor (TF) genes in the DEGs and MYB TFs accounted for the highest proportion, which was 14.9%. After functional analysis of all DEGs, a total of 7 genes involved in potassium transport and potassium ion channels and 50 genes corresponding to hormones were screened. The expression levels of randomly selected 17 DEGs were verified by qRT-PCR and the results coincided well with the RNA-seq analysis, indicating the reliability of our transcriptome data. Moreover, one of the ABA signaling pathway genes, SiSnRK2.6, was identified and selected for further functional verification. Compared with the wild type, transgenic rice with ecotopic expression of SiSnRK2.6 showed remarkably increased root length and root number, indicating that overexpression of SiSnRK2.6 can enhance the resistance of transgenic plants to low potassium stress.

Indexed as

Setaria PlantGene Expression ProfilingPotassiumReproducibility of ResultsTranscriptomePotassium

Identifiers

PMID38227064
OpenAlexW4390919641

What OpenQuestion holds

Textmetadata
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.