Evidence map›Paper›PMID 29615731›Full record

ArticleScientific reports2018

Genome-wide comparative and evolutionary analysis of Calmodulin-binding Transcription Activator (CAMTA) family in Gossypium species.

Poonam Pant, Zahra Iqbal, Bhoopendra K Pandey, Samir V Sawant

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Genome-Wide Identification and Expression Analysis of theCurrent issues in molecular biology · 2026
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  3. Review
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  6. Article
  7. Article
  8. Article
  9. The Vital Role of theInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Review
  12. Identification of CAMTA Gene Family inPlants (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Article
  15. Systematic Analysis and Identification of Drought-Responsive Genes of theInternational journal of molecular sciences · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Weighted Gene Correlation Network Analysis (WGCNA) ofInternational journal of genomics · 2022
    Article
  20. Identification and Expression Analysis ofFrontiers in plant science · 2022
    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

4 authors.

Poonam PantCouncil of Scientific and Industrial Research - National Botanical Research Institute (CSIR-NBRI), Rana Pratap Marg, Lucknow, 226001, India.
Zahra IqbalCouncil of Scientific and Industrial Research - National Botanical Research Institute (CSIR-NBRI), Rana Pratap Marg, Lucknow, 226001, India.
Bhoopendra K PandeyCouncil of Scientific and Industrial Research - National Botanical Research Institute (CSIR-NBRI), Rana Pratap Marg, Lucknow, 226001, India.
Samir V SawantCouncil of Scientific and Industrial Research - National Botanical Research Institute (CSIR-NBRI), Rana Pratap Marg, Lucknow, 226001, India. samirsawant@nbri.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CAMTA gene family is crucial in managing both biotic and abiotic stresses in plants. Our comprehensive analysis of this gene family in cotton resulted in the identification of 6, 7 and 9 CAMTAs in three sequenced cotton species, i.e., Gossypium arboreum, Gossypium raimondii, and Gossypium hirsutum, respectively. All cotton CAMTAs were localized in the nucleus and possessed calmodulin-binding domain (CaMBD) as identified computationally. Phylogenetically four significant groups of cotton CAMTAs were identified out of which, Group II CAMTAs experienced higher evolutionary pressure, leading to a faster evolution in diploid cotton. The expansion of cotton CAMTAs in the genome was mainly due to segmental duplication. Purifying selection played a significant role in the evolution of cotton CAMTAs. Expression profiles of GhCAMTAs revealed that GhCAMTA2A.2 and GhCAMTA7A express profoundly in different stages of cotton fiber development. Positive correlation between expression of these two CAMTAs and fiber strength confirmed their functional relevance in fiber development. The promoter region of co-expressing genes network of GhCAMTA2A.2 and GhCAMTA7A showed a higher frequency of occurrence of CAMTA binding motifs. Our present study thus contributes to broad probing into the structure and probable function of CAMTA genes in Gossypium species.

Indexed as

Evolution, MolecularGenomicsAmino Acid MotifsAmino Acid SequenceChromosomes, PlantCotton FiberGene Expression Regulation, PlantGossypiumPhylogenyPlant ProteinsTranscription FactorsPlant ProteinsTranscription Factors

Identifiers

PMID29615731
PMCPMC5882909

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