Evidence map›Paper›PMID 24859131›Full record

ArticleMolecular genetics and genomics : MGG2014

Characterization of rubber tree microRNA in phytohormone response using large genomic DNA libraries, promoter sequence and gene expression analysis.

Supanath Kanjanawattanawong, Sithichoke Tangphatsornruang, Kanokporn Triwitayakorn, Panthita Ruang-areerate, Duangjai Sangsrakru, Supannee Poopear, Suthasinee Somyong, Jarunya Narangajavana

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Article in Molecular genetics and genomics : MGG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Supanath KanjanawattanawongDepartment of Biotechnology, Faculty of Science, Mahidol University, Rama 6 Rd, Rajthewee, Bangkok, 10400, Thailand.
Sithichoke Tangphatsornruang
Kanokporn Triwitayakorn
Panthita Ruang-areerate
Duangjai Sangsrakru
Supannee Poopear
Suthasinee Somyong
Jarunya Narangajavana
Mahidol University · THNational Center for Genetic Engineering and Biotechnology · THNational Centre for Genetic Resources and Biotechnology · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The para rubber tree is the most widely cultivated tree species for producing natural rubber (NR) latex. Unfortunately, rubber tree characteristics such as a long life cycle, heterozygous genetic backgrounds, and poorly understood genetic profiles are the obstacles to breeding new rubber tree varieties, such as those with improved NR yields. Recent evidence has revealed the potential importance of controlling microRNA (miRNA) decay in some aspects of NR regulation. To gain a better understanding of miRNAs and their relationship with rubber tree gene regulation networks, large genomic DNA insert-containing libraries were generated to complement the incomplete draft genome sequence and applied as a new powerful tool to predict a function of interested genes. Bacterial artificial chromosome and fosmid libraries, containing a total of 120,576 clones with an average insert size of 43.35 kb, provided approximately 2.42 haploid genome equivalents of coverage based on the estimated 2.15 gb rubber tree genome. Based on these library sequences, the precursors of 1 member of rubber tree-specific miRNAs and 12 members of conserved miRNAs were successfully identified. A panel of miRNAs was characterized for phytohormone response by precisely identifying phytohormone-responsive motifs in their promoter sequences. Furthermore, the quantitative real-time PCR on ethylene stimulation of rubber trees was performed to demonstrate that the miR2118, miR159, miR164 and miR166 are responsive to ethylene, thus confirmed the prediction by genomic DNA analysis. The cis-regulatory elements identified in the promoter regions of these miRNA genes help augment our understanding of miRNA gene regulation and provide a foundation for further investigation of the regulation of rubber tree miRNAs.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGene LibraryGenome, PlantHeveaMicroRNAsPlant Growth RegulatorsPromoter Regions, GeneticRNA, PlantSequence Analysis, DNATranscriptomeMicroRNAsPlant Growth RegulatorsRNA, Plant

Identifiers

PMID24859131
OpenAlexW1976755466

What OpenQuestion holds

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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.