Evidence map›Paper›PMID 19906890›Full record

ArticlePlant physiology2010

Large-scale reverse genetics in Arabidopsis: case studies from the Chloroplast 2010 Project.

Imad Ajjawi, Yan Lu, Linda J Savage, Shannon M Bell, Robert L Last

Abstract read
In one paragraph

Article in Plant physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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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

57 citing papers in PubMed.

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  7. An Argon-Ion-Induced Pale Green Mutant ofPlants (Basel, Switzerland) · 2021
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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

5 authors.

Imad AjjawiDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.
Yan Lu
Linda J Savage
Shannon M Bell
Robert L Last

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, phenotype-driven forward genetic plant mutant studies have been among the most successful approaches to revealing the roles of genes and their products and elucidating biochemical, developmental, and signaling pathways. A limitation is that it is time consuming, and sometimes technically challenging, to discover the gene responsible for a phenotype by map-based cloning or discovery of the insertion element. Reverse genetics is also an excellent way to associate genes with phenotypes, although an absence of detectable phenotypes often results when screening a small number of mutants with a limited range of phenotypic assays. The Arabidopsis Chloroplast 2010 Project (www.plastid.msu.edu) seeks synergy between forward and reverse genetics by screening thousands of sequence-indexed Arabidopsis (Arabidopsis thaliana) T-DNA insertion mutants for a diverse set of phenotypes. Results from this project are discussed that highlight the strengths and limitations of the approach. We describe the discovery of altered fatty acid desaturation phenotypes associated with mutants of At1g10310, previously described as a pterin aldehyde reductase in folate metabolism. Data are presented to show that growth, fatty acid, and chlorophyll fluorescence defects previously associated with antisense inhibition of synthesis of the family of acyl carrier proteins can be attributed to a single gene insertion in Acyl Carrier Protein4 (At4g25050). A variety of cautionary examples associated with the use of sequence-indexed T-DNA mutants are described, including the need to genotype all lines chosen for analysis (even when they number in the thousands) and the presence of tagged and untagged secondary mutations that can lead to the observed phenotypes.

Indexed as

Acyl Carrier ProteinArabidopsisArabidopsis ProteinsChlorophyllChloroplastsDNA, BacterialDNA, PlantFatty AcidsFluorescenceGene Expression Regulation, PlantGenomicsMutagenesis, InsertionalMutationPhenotypePlants, Genetically ModifiedAcyl Carrier ProteinArabidopsis ProteinsChlorophyllDNA, BacterialDNA, PlantFatty AcidsT-DNA

Identifiers

PMID19906890
PMCPMC2815874

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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.