Evidence map›Paper›PMID 39684659›Full record

ArticleInternational journal of molecular sciences2024

Genome-Wide Identification of the

Yi Wang, Zheng Zong, Junchen Chen, Xue Sun, Jiahui Wang, Yuehua Yu, Zhiyong Ni

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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. Article
  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

7 authors.

Yi WangKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Zheng ZongKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Junchen ChenKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Xue SunKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Jiahui WangKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Yuehua YuCollege of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China.
Zhiyong NiKey Laboratory of Ecological Adaptation and Evolution of Extreme Environment in Xinjiang, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0002-6916-069X

Funding

China Posstdoctoral Science Foundation 2023MD734233Xinjiang Uygur Autonomous Region Major Science and Technology Project 2024A02002-3Xinjiang Uygur Autonomous Region Natural Science Foundation 2023D01B30Xinjiang Uygur Autonomous Region "Tianshan Talents" Cultivation Programme 2022TSYCCX0080
6 · The paper itself

Abstract

Cotton is an economically critical crop worldwide, and drought stress strongly affects its growth and development. Ubiquitination modifies protein activity and is crucial in numerous biological processes. Ubiquitin-conjugating enzymes serve as intermediaries in the protein ubiquitination process and play important roles in plant responses to abiotic stress. However, the impact of ubiquitination on the response of cotton to abiotic stress is not fully understood. Bioinformatic methods were employed in this study to analyze the physiochemical characteristics, gene structure, collinearity, expression patterns, and evolutionary relationships of GbUBC gene family members in sea-island cotton. In sea-island cotton, a minimum of 125 GbUBC genes are irregularly distributed across the 26 chromosomes, with multiple instances of gene duplication observed among the members. Phylogenetic analysis categorized the GbUBC gene family into 15 ubiquitin-conjugating enzyme (E2) subgroups, one ubiquitin E2 enzyme variant (UEV) subgroup, and one COP10 subgroup. GbUBC gene expression pattern analyses revealed that most GbUBC genes responded differently to cold, heat, NaCl, and polyethylene glycol (PEG) treatments, with certain GbUBC genes exhibiting high expression levels in specific fiber development period and organs. Furthermore, molecular biology methods were employed to elucidate the biological functions of GbUBC23. The GbUBC23 gene was highly expressed in the cotyledons of sea-island cotton and was activated by PEG treatment. GbUBC23 is localized to the nucleus and cytomembrane. The silencing of the GbUBC23 gene under drought conditions led to decreased drought tolerance and survival rates in sea-island cotton. Compared with those in the control plants, the activity of proline and superoxide dismutase and the expression levels of the drought-induced genes GbNCED3, GbRD22, GbRD26 were significantly lower, but the levels of malondialdehyde and hydrogen peroxide were significantly higher. Our findings revealed 125 members of the GbUBC gene family in sea-island cotton, with the GbUBC23 gene critically contributing to the abiotic stress response. These findings indicate that the GbUBC gene family may play a crucial role in the drought stress response in sea-island cotton.

Indexed as

DroughtsGene Expression Regulation, PlantGossypiumMultigene FamilyPhylogenyPlant ProteinsStress, PhysiologicalChromosomes, PlantDrought ResistanceGene DuplicationGenome, PlantUbiquitin-Conjugating EnzymesPlant ProteinsUbiquitin-Conjugating EnzymesdroughtGbUBC23GbUBC gene familyubiquitination

Identifiers

PMID39684659
PMCPMC11640981

What Socratic 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 Socratic graph.