Evidence map›Paper›PMID 18263779›Full record

ArticlePlant physiology2008

New connections across pathways and cellular processes: industrialized mutant screening reveals novel associations between diverse phenotypes in Arabidopsis.

Yan Lu, Linda J Savage, Imad Ajjawi, Kathleen M Imre, David W Yoder, Christoph Benning, Dean Dellapenna, John B Ohlrogge, Katherine W Osteryoung, Andreas P Weber and 2 more

Abstract read
In one paragraph

Article in Plant physiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  5. NNature communications · 2022
    Article
  6. Article
  7. An Argon-Ion-Induced Pale Green Mutant ofPlants (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
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  11. Article
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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

12 authors.

Yan LuDepartment of Biochemistry and Molecular Biology , Michigan State University, East Lansing, Michigan 48824, USA.
Linda J Savage
Imad Ajjawi
Kathleen M Imre
David W Yoder
Christoph Benning
Dean Dellapenna
John B Ohlrogge
Katherine W Osteryoung
Andreas P Weber
Curtis G Wilkerson
Robert L Last

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In traditional mutant screening approaches, genetic variants are tested for one or a small number of phenotypes. Once bona fide variants are identified, they are typically subjected to a limited number of secondary phenotypic screens. Although this approach is excellent at finding genes involved in specific biological processes, the lack of wide and systematic interrogation of phenotype limits the ability to detect broader syndromes and connections between genes and phenotypes. It could also prevent detection of the primary phenotype of a mutant. As part of a systems biology approach to understand plastid function, large numbers of Arabidopsis thaliana homozygous T-DNA lines are being screened with parallel morphological, physiological, and chemical phenotypic assays (www.plastid.msu.edu). To refine our approaches and validate the use of this high-throughput screening approach for understanding gene function and functional networks, approximately 100 wild-type plants and 13 known mutants representing a variety of phenotypes were analyzed by a broad range of assays including metabolite profiling, morphological analysis, and chlorophyll fluorescence kinetics. Data analysis using a variety of statistical approaches showed that such industrial approaches can reliably identify plant mutant phenotypes. More significantly, the study uncovered previously unreported phenotypes for these well-characterized mutants and unexpected associations between different physiological processes, demonstrating that this approach has strong advantages over traditional mutant screening approaches. Analysis of wild-type plants revealed hundreds of statistically robust phenotypic correlations, including metabolites that are not known to share direct biosynthetic origins, raising the possibility that these metabolic pathways have closer relationships than is commonly suspected.

Indexed as

MutationArabidopsisChromatography, GasChromatography, High Pressure LiquidCluster AnalysisFluorescenceGenetic VariationTandem Mass Spectrometry

Identifiers

PMID18263779
PMCPMC2287328

What OpenQuestion holds

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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.