Evidence map›Paper›PMID 26462563›Full record

ArticleBMC genomics2015

Identification of miRNAs involved in fruit ripening in Cavendish bananas by deep sequencing.

Fangcheng Bi, Xiangchun Meng, Chao Ma, Ganjun Yi

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
12.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Banana breeding by genome design.Journal of integrative plant biology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. MicroRNA Profiling During Mulberry (Frontiers in plant science · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Identification and Characterization of MiRNAs inInternational journal of molecular sciences · 2019
    Article
  20. 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 at 2 institutions in 2 countries.

Fangcheng BiInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China. fangchengbi@gmail.com.
Xiangchun MengInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China. gerbera_mxc@126.com.
Chao MaDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel. mchj111@126.com.
Ganjun YiInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China. yiganjun@vip.163.com.
Guangdong Academy of Agricultural Sciences · CNAgricultural Research Organization · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are a family of non-coding small RNAs that play an important regulatory role in various biological processes. Previous studies have reported that miRNAs are closely related to the ripening process in model plants. However, the miRNAs that are closely involved in the banana fruit ripening process remain unknown.

methodsHere, we investigated the miRNA populations from banana fruits in response to ethylene or 1-MCP treatment using a deep sequencing approach and bioinformatics analysis combined with quantitative RT-PCR validation.

resultsA total of 125 known miRNAs and 26 novel miRNAs were identified from three libraries. MiRNA profiling of bananas in response to ethylene treatment compared with 1-MCP treatment showed differential expression of 82 miRNAs. Furthermore, the differentially expressed miRNAs were predicted to target a total of 815 target genes. Interestingly, some targets were annotated as transcription factors and other functional proteins closely involved in the development and the ripening process in other plant species. Analysis by qRT-PCR validated the contrasting expression patterns between several miRNAs and their target genes.

conclusionsThe miRNAome of the banana fruit in response to ethylene or 1-MCP treatment were identified by high-throughput sequencing. A total of 82 differentially expressed miRNAs were found to be closely associated with the ripening process. The miRNA target genes encode transcription factors and other functional proteins, including SPL, APETALA2, EIN3, E3 ubiquitin ligase, β-galactosidase, and β-glucosidase. These findings provide valuable information for further functional research of the miRNAs involved in banana fruit ripening.

Indexed as

High-Throughput Nucleotide SequencingFruitGene Expression Regulation, PlantGenome, PlantMicroRNAsMusaRNA, PlantTranscriptomeMicroRNAsRNA, Plant

Identifiers

PMID26462563
PMCPMC4603801
OpenAlexW1915785154

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.