Evidence map›Paper›PMID 25849479›Full record

ArticleBMC plant biology2015

Global analysis of the Gossypium hirsutum L. Transcriptome during leaf senescence by RNA-Seq.

Min Lin, Chaoyou Pang, Shuli Fan, Meizhen Song, Hengling Wei, Shuxun Yu

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
21.2field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
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  3. Identification of a Novel GeneInternational journal of molecular sciences · 2024
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  7. Know when and how to die: gaining insights into the molecular regulation of leaf senescence.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Genome-Wide Comprehensive Analysis of theInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Enhancement ofFrontiers in plant science · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Plants (Basel, Switzerland) · 2019
    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

6 authors at 2 institutions in 1 country.

Min Lin
Chaoyou Pang
Shuli Fan
Meizhen Song
Hengling Wei
Shuxun Yu
Chinese Academy of Agricultural Sciences · CNCotton Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeaf senescence is an important developmental programmed degeneration process that dramatically affects crop quality and yield. The regulation of senescence is highly complex. Although senescence regulatory genes have been well characterized in model species such as Arabidopsis and rice, there is little information on the control of this process in cotton. Here, the senescence process in cotton (Gossypium hirsutum L.) leaves was investigated over a time course including young leaf, mature leaf and leaf samples from different senescence stages using RNA-Seq.

resultsOf 24,846 genes detected by mapping the tags to Gossypium genomes, 3,624 genes were identified as differentially expressed during leaf senescence. There was some overlap between the genes identified here and senescence-associated genes previously identified in other species. Most of the genes related to photosynthesis, chlorophyll metabolism and carbon fixation were downregulated; whereas those for plant hormone signal transduction were upregulated. Quantitative real-time PCR was used to evaluate the results of RNA-Seq for gene expression profiles. Furthermore, 519 differentially expressed transcription factors were identified, notably WRKY, bHLH and C3H. In addition, 960 genes involved in the metabolism and regulation of eight hormones were identified, of which many genes involved in the abscisic acid, brassinosteroid, jasmonic acid, salicylic acid and ethylene pathways were upregulated, indicating that these hormone-related genes might play crucial roles in cotton leaf development and senescence. However, most auxin, cytokinin and gibberellin pathway-related genes were downregulated, suggesting that these three hormones may act as negative regulators of senescence.

conclusionsThis is the first high-resolution, multiple time-course, genome-wide comprehensive analysis of gene expression in cotton. These data are the most comprehensive dataset currently available for cotton leaf senescence, and will serve as a useful resource for unraveling the functions of many specific genes involved in cotton leaf development and senescence.

Indexed as

Gene Expression Regulation, PlantGenome, PlantTranscriptomeGene Expression Regulation, DevelopmentalGossypiumPlant LeavesReal-Time Polymerase Chain ReactionSequence Analysis, RNA

Identifiers

PMID25849479
PMCPMC4342795
OpenAlexW2043675186

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Registered trials

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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.