Evidence map›Paper›PMID 24432026›Full record

ArticleFrontiers in plant science2014

Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants.

Charles T Hunter, Masaharu Suzuki, Jonathan Saunders, Shan Wu, Alexander Tasi, Donald R McCarty, Karen E Koch

Abstract read
In one paragraph

Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Independent evolution of transposase and TIRs facilitated by recombination betweenProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Article
  5. G3 (Bethesda, Md.) · 2018
    Article
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  11. Review
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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

7 authors.

Charles T HunterPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Masaharu SuzukiPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Jonathan SaundersPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Shan WuPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Alexander TasiPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Donald R McCartyPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.
Karen E KochPlant Molecular and Cellular Biology Program, Institute of Food and Agricultural Sciences, Horticultural Sciences, University of Florida Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In pursuing our long-term goals of identifying causal genes for mutant phenotypes in maize, we have developed a new, phenotype-to-genotype approach for transposon-based resources, and used this to identify candidate genes that co-segregate with visible kernel mutants. The strategy incorporates a redesigned Mu-seq protocol (sequence-based, transposon mapping) for high-throughput identification of individual plants carrying Mu insertions. Forward-genetic Mu-seq also involves a genetic pipeline for generating families that segregate for mutants of interest, and grid designs for concurrent analysis of genotypes in multiple families. Critically, this approach not only eliminates gene-specific PCR genotyping, but also profiles all Mu-insertions in hundreds of individuals simultaneously. Here, we employ this scalable approach to study 12 families that showed Mendelian segregation of visible seed mutants. These families were analyzed in parallel, and 7 showed clear co-segregation between the selected phenotype and a Mu insertion in a specific gene. Results were confirmed by PCR. Mutant genes that associated with kernel phenotypes include those encoding: a new allele of Whirly1 (a transcription factor with high affinity for organellar and single-stranded DNA), a predicted splicing factor with a KH domain, a small protein with unknown function, a putative mitochondrial transcription-termination factor, and three proteins with pentatricopeptide repeat domains (predicted mitochondrial). Identification of such associations allows mutants to be prioritized for subsequent research based on their functional annotations. Forward-genetic Mu-seq also allows a systematic dissection of mutant classes with similar phenotypes. In the present work, a high proportion of kernel phenotypes were associated with mutations affecting organellar gene transcription and processing, highlighting the importance and non-redundance of genes controlling these aspects of seed development.

Indexed as

forward geneticsMu-SeqmutatorsequencingtransposonUniformMu

Identifiers

PMID24432026
PMCPMC3882665

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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.