Evidence map›Paper›PMID 24971876›Full record

ArticlePloS one2014

Sequence and expression analyses of ethylene response factors highly expressed in latex cells from Hevea brasiliensis.

Piyanuch Piyatrakul, Meng Yang, Riza-Arief Putranto, Julien Pirrello, Florence Dessailly, Songnian Hu, Marilyne Summo, Kannikar Theeravatanasuk, Julie Leclercq, Kuswanhadi and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

11 authors at 2 institutions in 2 countries.

Piyanuch PiyatrakulUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France; Department of Agriculture, Rubber Research Institute, Bangkok, Thailand.
Meng YangBeijing Institute of Genomics, Chinese Academy of Science, Beijing, China.
Riza-Arief PutrantoUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France; Indonesian Biotechnology Research Institute for Estate Crops, Bogor, Indonesia.
Julien PirrelloUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France.
Florence DessaillyUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France.
Songnian HuBeijing Institute of Genomics, Chinese Academy of Science, Beijing, China.
Marilyne SummoUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France.
Kannikar TheeravatanasukDepartment of Agriculture, Rubber Research Institute, Bangkok, Thailand.
Julie LeclercqUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France.
KuswanhadiSembawa Research Center, Indonesian Rubber Research Institute, Palembang, Indonesia.
Pascal MontoroUnité mixte de recherche Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, Centre International de Recherche Agronomique pour le Développement, Montpellier, France.
Beijing Institute of Genomics · CNIndonesian Agency for Agricultural Research and Development · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The AP2/ERF superfamily encodes transcription factors that play a key role in plant development and responses to abiotic and biotic stress. In Hevea brasiliensis, ERF genes have been identified by RNA sequencing. This study set out to validate the number of HbERF genes, and identify ERF genes involved in the regulation of latex cell metabolism. A comprehensive Hevea transcriptome was improved using additional RNA reads from reproductive tissues. Newly assembled contigs were annotated in the Gene Ontology database and were assigned to 3 main categories. The AP2/ERF superfamily is the third most represented compared with other transcription factor families. A comparison with genomic scaffolds led to an estimation of 114 AP2/ERF genes and 1 soloist in Hevea brasiliensis. Based on a phylogenetic analysis, functions were predicted for 26 HbERF genes. A relative transcript abundance analysis was performed by real-time RT-PCR in various tissues. Transcripts of ERFs from group I and VIII were very abundant in all tissues while those of group VII were highly accumulated in latex cells. Seven of the thirty-five ERF expression marker genes were highly expressed in latex. Subcellular localization and transactivation analyses suggested that HbERF-VII candidate genes encoded functional transcription factors.

Indexed as

Genes, PlantHeveaMultigene FamilyPhylogenyPlant ProteinsRNA, MessengerSequence AlignmentTranscription Factor AP-2Plant ProteinsRNA, MessengerTranscription Factor AP-2

Identifiers

PMID24971876
PMCPMC4074046
OpenAlexW2058244137

What OpenQuestion holds

Textmetadata
LicenceCC0
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.