Evidence map›Paper›PMID 21599977›Full record

ArticleBMC genomics2011

Identification of factors required for meristem function in Arabidopsis using a novel next generation sequencing fast forward genetics approach.

Michal Mokry, Isaäc J Nijman, Anja van Dijken, Rene Benjamins, Renze Heidstra, Ben Scheres, Edwin Cuppen

Abstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  20. Genomic variation in Arabidopsis: tools and insights from next-generation sequencing.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2014
    Review
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

7 authors.

Michal MokryHubrecht Institute, Developmental Biology and Stem Cell Research, KNAW and University Medical Center Utrecht, Uppsalalaan 8, Utrecht, The Netherlands.
Isaäc J Nijman
Anja van Dijken
Rene Benjamins
Renze Heidstra
Ben Scheres
Edwin Cuppen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhenotype-driven forward genetic experiments are powerful approaches for linking phenotypes to genomic elements but they still involve a laborious positional cloning process. Although sequencing of complete genomes now becomes available, discriminating causal mutations from the enormous amounts of background variation remains a major challenge.

methodTo improve this, we developed a universal two-step approach, named 'fast forward genetics', which combines traditional bulk segregant techniques with targeted genomic enrichment and next-generation sequencing technology

resultsAs a proof of principle we successfully applied this approach to two Arabidopsis mutants and identified a novel factor required for stem cell activity.

conclusionWe demonstrated that the 'fast forward genetics' procedure efficiently identifies a small number of testable candidate mutations. As the approach is independent of genome size, it can be applied to any model system of interest. Furthermore, we show that experiments can be multiplexed and easily scaled for the identification of multiple individual mutants in a single sequencing run.

Indexed as

ArabidopsisGenetic Complementation TestGenomicsMeristemMutationPhenotypeSequence AnalysisTime Factors

Identifiers

PMID21599977
PMCPMC3114748

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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.