Evidence map›Paper›PMID 25190108›Full record

ArticleMolecular genetics and genomics : MGG2015

Genome-wide investigation and transcriptome analysis of the WRKY gene family in Gossypium.

Mingquan Ding, Jiadong Chen, Yurong Jiang, Lifeng Lin, YueFen Cao, Minhua Wang, Yuting Zhang, Junkang Rong, Wuwei Ye

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Article in Molecular genetics and genomics : MGG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

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47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Review
  2. Genome-Wide Identification of the PeanutInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Comprehensive Expression Analysis of the WRKY Gene Family inInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Article
  7. Genome-Wide Identification and Analysis of WRKY Gene Family inInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Genome-wide identification ofFrontiers in plant science · 2022
    Article
  14. Article
  15. Identification of the Group IIIPlants (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mingquan DingThe Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, School of Agriculture and Food Science, Zhejiang A&F University, Linan, Hangzhou, 311300, Zhejiang, China.
Jiadong Chen
Yurong Jiang
Lifeng Lin
YueFen Cao
Minhua Wang
Yuting Zhang
Junkang Rong
Wuwei Ye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WRKY transcription factors play important roles in various stress responses in diverse plant species. In cotton, this family has not been well studied, especially in relation to fiber development. Here, the genomes and transcriptomes of Gossypium raimondii and Gossypium arboreum were investigated to identify fiber development related WRKY genes. This represents the first comprehensive comparative study of WRKY transcription factors in both diploid A and D cotton species. In total, 112 G. raimondii and 109 G. arboreum WRKY genes were identified. No significant gene structure or domain alterations were detected between the two species, but many SNPs distributed unequally in exon and intron regions. Physical mapping revealed that the WRKY genes in G. arboreum were not located in the corresponding chromosomes of G. raimondii, suggesting great chromosome rearrangement in the diploid cotton genomes. The cotton WRKY genes, especially subgroups I and II, have expanded through multiple whole genome duplications and tandem duplications compared with other plant species. Sequence comparison showed many functionally divergent sites between WRKY subgroups, while the genes within each group are under strong purifying selection. Transcriptome analysis suggested that many WRKY genes participate in specific fiber development processes such as fiber initiation, elongation and maturation with different expression patterns between species. Complex WRKY gene expression such as differential Dt and At allelic gene expression in G. hirsutum and alternative splicing events were also observed in both diploid and tetraploid cottons during fiber development process. In conclusion, this study provides important information on the evolution and function of WRKY gene family in cotton species.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenes, PlantMultigene FamilyAllelesAlternative SplicingAmino AcidsChromosome MappingChromosomes, PlantCotton FiberGene ConversionGene DuplicationGenetic VariationGossypiumPhylogenyPlant EpidermisAmino AcidsRNA, Messenger

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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.