Evidence map›Paper›PMID 36235527›Full record

ArticlePlants (Basel, Switzerland)2022

Genome-Wide Identification of the NAC Transcription Factors in

Shimei Bai, Qingqing Niu, Yuqing Wu, Kunling Xu, Meng Miao, Jun Mei

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. 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
2.3field-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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Genome-Wide Identification and Characterization of theInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Shimei BaiPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Qingqing NiuPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Yuqing WuPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Kunling XuPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Meng MiaoPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Jun MeiPlant Genomics & Molecular Improvement of Colored Fiber Lab, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0001-9123-2875
Zhejiang Sci-Tech University · CN

Funding

the science foundation of Zhejiang Sci-Tech University 19042401-Y and 19042402-Y
6 · The paper itself

Abstract

The NAC transcription factors (NACs) are among the largest plant-specific gene regulators and play essential roles in the transcriptional regulation of both biotic and abiotic stress responses. Verticillium wilt of cotton caused by Verticillium dahliae (V. dahliae) is a destructive soil-borne disease that severely decreases cotton yield and quality. Although NACs constitute a large family in upland cotton (G. hirsutum L.), there is little systematic investigation of the NACs’ responsive to V. dahliae that has been reported. To further explore the key NACs in response to V. dahliae resistance and obtain a better comprehension of the molecular basis of the V. dahliae stress response in cotton, a genome-wide survey was performed in this study. To investigate the roles of GhNACs under V. dahliae induction in upland cotton, mRNA libraries were constructed from mocked and infected roots of upland cotton cultivars with the V. dahliae-sensitive cultivar “Jimian 11” (J11) and V. dahliae-tolerant cultivar “Zhongzhimian 2” (Z2). A total of 271 GhNACs were identified. Genome analysis showed GhNACs phylogenetically classified into 12 subfamilies and distributed across 26 chromosomes and 20 scaffolds. A comparative transcriptome analysis revealed 54 GhNACs were differentially expressed under V. dahliae stress, suggesting a potential role of these GhNACs in disease response. Additionally, one NAC090 homolog, GhNAC204, could be a positive regulator of cotton resistance to V. dahliae infection. These results give insight into the GhNAC gene family, identify GhNACs’ responsiveness to V. dahliae infection, and provide potential molecular targets for future studies for improving V. dahliae resistance in cotton.

Indexed as

genome-wideG. hirsutum L.NAC transcription factorsphylogenetic analysisVerticillium wilt

Identifiers

PMID36235527
PMCPMC9571985
OpenAlexW4304166053

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.