Evidence map›Paper›PMID 21666000›Full record

ArticleThe Plant cell2011

A guideline to family-wide comparative state-of-the-art quantitative RT-PCR analysis exemplified with a Brassicaceae cross-species seed germination case study.

Kai Graeber, Ada Linkies, Andrew T A Wood, Gerhard Leubner-Metzger

Abstract read
In one paragraph

Article in The Plant cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
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  5. The MKK3 MAPK cascade integrates temperature and after-ripening signals to modulate seed germination.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Frontiers in plant science · 2024
    Article
  8. Article
  9. Article
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  13. Gas-Plasma-Activated Water Impact on Photo-Dependent Dormancy Mechanisms inInternational journal of molecular sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Systematic analysis of differentially expressedPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  18. Transcriptome Analysis of Seed Weight Plasticity inInternational journal of molecular sciences · 2021
    Article
  19. 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.

Kai GraeberUniversity of Freiburg, Faculty of Biology, Institute for Biology II, Botany/Plant Physiology, D-79104 Freiburg, Germany.
Ada Linkies
Andrew T A Wood
Gerhard Leubner-Metzger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative biology includes the comparison of transcriptome and quantitative real-time RT-PCR (qRT-PCR) data sets in a range of species to detect evolutionarily conserved and divergent processes. Transcript abundance analysis of target genes by qRT-PCR requires a highly accurate and robust workflow. This includes reference genes with high expression stability (i.e., low intersample transcript abundance variation) for correct target gene normalization. Cross-species qRT-PCR for proper comparative transcript quantification requires reference genes suitable for different species. We addressed this issue using tissue-specific transcriptome data sets of germinating Lepidium sativum seeds to identify new candidate reference genes. We investigated their expression stability in germinating seeds of L. sativum and Arabidopsis thaliana by qRT-PCR, combined with in silico analysis of Arabidopsis and Brassica napus microarray data sets. This revealed that reference gene expression stability is higher for a given developmental process between distinct species than for distinct developmental processes within a given single species. The identified superior cross-species reference genes may be used for family-wide comparative qRT-PCR analysis of Brassicaceae seed germination. Furthermore, using germinating seeds, we exemplify optimization of the qRT-PCR workflow for challenging tissues regarding RNA quality, transcript stability, and tissue abundance. Our work therefore can serve as a guideline for moving beyond Arabidopsis by establishing high-quality cross-species qRT-PCR.

Indexed as

Genes, PlantAlgorithmsArabidopsisBrassicaceaeGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGerminationGuidelines as TopicLepidium sativumMicroarray AnalysisReverse Transcriptase Polymerase Chain ReactionSeedsTranscriptome

Identifiers

PMID21666000
PMCPMC3160028

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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.