Evidence map›Paper›PMID 24699822›Full record

ArticlePloS one2014

Identification of candidate reference genes in perennial ryegrass for quantitative RT-PCR under various abiotic stress conditions.

Linkai Huang, Haidong Yan, Xiaomei Jiang, Guohua Yin, Xinquan Zhang, Xiao Qi, Yu Zhang, Yanhong Yan, Xiao Ma, Yan Peng

Abstract 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 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
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

45 citing papers in PubMed.

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  19. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2021
    Article
  20. Screening of stable internal reference gene of Quinoa under hormone treatment and abiotic stress.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    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

10 authors.

Linkai HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Haidong YanDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Xiaomei JiangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Guohua YinCollege of Agriculture and Life Sciences, The University of Arizona, Tucson, Arizona, United States of America.
Xinquan ZhangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Xiao QiNational Animal Husbandry Service, Ministry of Agriculture, Beijing, Beijing, China.
Yu ZhangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Yanhong YanDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Xiao MaDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.
Yan PengDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Ya'an, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative real-time reverse-transcriptase PCR (qRT-PCR) is an important technique for analyzing differences in gene expression due to its sensitivity, accuracy and specificity. However, the stability of the expression of reference genes is necessary to ensure accurate qRT-PCR assessment of expression in genes of interest. Perennial ryegrass (Lolium perenne L.) is important forage and turf grass species in temperate regions, but the expression stability of its reference genes under various stresses has not been well-studied. METHODOLOGY/PRINCIPAL

findingsIn this study, 11 candidate reference genes were evaluated for use as controls in qRT-PCR to quantify gene expression in perennial ryegrass under drought, high salinity, heat, waterlogging, and ABA (abscisic acid) treatments. Four approaches--Delta CT, geNorm, BestKeeper and Normfinder were used to determine the stability of expression in these reference genes. The results are consistent with the idea that the best reference genes depend on the stress treatment under investigation. Eukaryotic initiation factor 4 alpha (eIF4A), Transcription elongation factor 1 (TEF1) and Tat binding protein-1 (TBP-1) were the three most stably expressed genes under drought stress and were also the three best genes for studying salt stress. eIF4A, TBP-1, and Ubiquitin-conjugating enzyme (E2) were the most suitable reference genes to study heat stress, while eIF4A, TEF1, and E2 were the three best reference genes for studying the effects of ABA. Finally, Ubiquitin (UBQ), TEF1, and eIF4A were the three best reference genes for waterlogging treatments. CONCLUSIONS/SIGNIFICANCE: These results will be helpful in choosing the best reference genes for use in studies related to various abiotic stresses in perennial ryegrass. The stability of expression in these reference genes will enable better normalization and quantification of the transcript levels for studies of gene expression in such studies.

Indexed as

Gene Expression Regulation, PlantGenes, PlantDroughtsEukaryotic Initiation Factor-4AGene Expression ProfilingGenes, EssentialLoliumPeptide Elongation Factor 1Reference StandardsReverse Transcriptase Polymerase Chain ReactionStress, PhysiologicalEukaryotic Initiation Factor-4APeptide Elongation Factor 1

Identifiers

PMID24699822
PMCPMC3974806

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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.