Evidence map›Paper›PMID 22214433›Full record

ArticleBMC plant biology2012

SSR markers in transcripts of genes linked to post-transcriptional and transcriptional regulatory functions during vegetative and reproductive development of Elaeis guineensis.

Timothy John Tranbarger, Wanwisa Kluabmongkol, Duangjai Sangsrakru, Fabienne Morcillo, James W Tregear, Somvong Tragoonrung, Norbert Billotte

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
21.8field-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

25 citing papers in PubMed, 469 citations in OpenAlex.

  1. Article
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  3. Full-Length Transcriptome of the Great Himalayan Leaf-Nosed Bats (International journal of molecular sciences · 2023
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  6. Characterization and complexity of transcriptome in Gymnocypris przewalskii using single-molecule long-read sequencing and RNA-seq.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
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  12. Development of transcriptome based web genomic resources of yellow mosaic disease inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2017
    Article
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  19. Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis guineensis Jacq.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    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

7 authors at 4 institutions in 3 countries.

Timothy John TranbargerIRD, UMR DIADE (IRD, UM2), 911 Avenue Agropolis BP 64501, 34394, Montpellier cedex 5, France. timothy.tranbarger@ird.fr
Wanwisa Kluabmongkol
Duangjai Sangsrakru
Fabienne Morcillo
James W Tregear
Somvong Tragoonrung
Norbert Billotte
National Center for Genetic Engineering and Biotechnology · THDiversité, adaptation et développement des plantes · FRGenetic Improvement and Adaptation of Mediterranean and Tropical Plants · FRInstitut de Recherche pour le Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe oil palm (Elaeis guineensis Jacq.) is a perennial monocotyledonous tropical crop species that is now the world's number one source of edible vegetable oil, and the richest dietary source of provitamin A. While new elite genotypes from traditional breeding programs provide steady yield increases, the long selection cycle (10-12 years) and the large areas required to cultivate oil palm make genetic improvement slow and labor intensive. Molecular breeding programs have the potential to make significant impacts on the rate of genetic improvement but the limited molecular resources, in particular the lack of molecular markers for agronomic traits of interest, restrict the application of molecular breeding schemes for oil palm.

resultsIn the current study, 6,103 non-redundant ESTs derived from cDNA libraries of developing vegetative and reproductive tissues were annotated and searched for simple sequence repeats (SSRs). Primer pairs from sequences flanking 289 EST-SSRs were tested to detect polymorphisms in elite breeding parents and their crosses. 230 of these amplified PCR products, 88 of which were polymorphic within the breeding material tested. A detailed analysis and annotation of the EST-SSRs revealed the locations of the polymorphisms within the transcripts, and that the main functional category was related to transcription and post-transcriptional regulation. Indeed, SSR polymorphisms were found in sequences encoding AP2-like, bZIP, zinc finger, MADS-box, and NAC-like transcription factors in addition to other transcriptional regulatory proteins and several RNA interacting proteins.

conclusionsThe identification of new EST-SSRs that detect polymorphisms in elite breeding material provides tools for molecular breeding strategies. The identification of SSRs within transcripts, in particular those that encode proteins involved in transcriptional and post-transcriptional regulation, will allow insight into the functional roles of these proteins by studying the phenotypic traits that cosegregate with these markers. Finally, the oil palm EST-SSRs derived from vegetative and reproductive development will be useful for studies on the evolution of the functional diversity within the palm family.

Indexed as

Genome, PlantMicrosatellite RepeatsPolymorphism, GeneticArecaceaeBreedingDNA, PlantDNA PrimersExpressed Sequence TagsGene Expression Regulation, PlantGene LibraryGenetic MarkersGenotypeMolecular Sequence DataRNA Processing, Post-TranscriptionalTranscription, GeneticDNA, PlantDNA PrimersGenetic Markers

Identifiers

PMID22214433
PMCPMC3282652
OpenAlexW2065313580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.