Evidence map›Paper›PMID 23134614›Full record

ArticleBMC plant biology2012

A diploid wheat TILLING resource for wheat functional genomics.

Nidhi Rawat, Sunish K Sehgal, Anupama Joshi, Nolan Rothe, Duane L Wilson, Nathan McGraw, Praveen V Vadlani, Wanlong Li, Bikram S Gill

Abstract read
In one paragraph

Article in BMC plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Bymovirus-induced yellow mosaic diseases in barley and wheat: viruses, genetic resistances and functional aspects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  10. Article
  11. Article
  12. Rapid gene cloning in cereals.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  13. Article
  14. TILL-D: AnFrontiers in plant science · 2018
    Article
  15. Article
  16. Frontiers in plant science · 2018
    Article
  17. Article
  18. Translational genomics of grain size regulation in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Review
  19. Article
  20. Induced Mutagenesis inFrontiers in plant science · 2017
    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

9 authors.

Nidhi RawatWheat Genetic and Genomic Resources Center, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA.
Sunish K Sehgal
Anupama Joshi
Nolan Rothe
Duane L Wilson
Nathan McGraw
Praveen V Vadlani
Wanlong Li
Bikram S Gill

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriticum monococcum L., an A genome diploid einkorn wheat, was the first domesticated crop. As a diploid, it is attractive genetic model for the study of gene structure and function of wheat-specific traits. Diploid wheat is currently not amenable to reverse genetics approaches such as insertion mutagenesis and post-transcriptional gene silencing strategies. However, TILLING offers a powerful functional genetics approach for wheat gene analysis.

resultsWe developed a TILLING population of 1,532 M2 families using EMS as a mutagen. A total of 67 mutants were obtained for the four genes studied. Waxy gene mutation frequencies are known to be 1/17.6 - 34.4 kb DNA in polyploid wheat TILLING populations. The T. monococcum diploid wheat TILLING population had a mutation frequency of 1/90 kb for the same gene. Lignin biosynthesis pathway genes- COMT1, HCT2, and 4CL1 had mutation frequencies of 1/86 kb, 1/92 kb and 1/100 kb, respectively. The overall mutation frequency of the diploid wheat TILLING population was 1/92 kb.

conclusionThe mutation frequency of a diploid wheat TILLING population was found to be higher than that reported for other diploid grasses. The rate, however, is lower than tetraploid and hexaploid wheat TILLING populations because of the higher tolerance of polyploids to mutations. Unlike polyploid wheat, most mutants in diploid wheat have a phenotype amenable to forward and reverse genetic analysis and establish diploid wheat as an attractive model to study gene function in wheat. We estimate that a TILLING population of 5, 520 will be needed to get a non-sense mutation for every wheat gene of interest with 95% probability.

Indexed as

DiploidyEthyl MethanesulfonateGenes, PlantGenome, PlantGenomicsLigninMutagenesisMutationMutation RatePhenotypePopulation DensitySequence Analysis, DNATriticumEthyl MethanesulfonateLignin

Identifiers

PMID23134614
PMCPMC3541219

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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.