Evidence map›Paper›PMID 22152063›Full record

ArticlePlant methods2011

High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes.

Seosamh Ó Lochlainn, Stephen Amoah, Neil S Graham, Khalid Alamer, Juan J Rios, Smita Kurup, Andrew Stoute, John P Hammond, Lars Østergaard, Graham J King and 2 more

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.1field-weighted citation impact, top 4% of its field
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

26 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Is it the end of TILLING era in plant science?Frontiers in plant science · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Construction of a male sterility system for hybrid rice breeding and seed production using a nuclear male sterility gene.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. 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 at 5 institutions in 2 countries.

Seosamh Ó Lochlainn *School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
Stephen Amoah *Rothamsted Research, Harpenden AL5 2JQ, UK.
Neil S Graham *School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
Khalid AlamerSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
Juan J RiosSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
Smita KurupRothamsted Research, Harpenden AL5 2JQ, UK.
Andrew StouteRothamsted Research, Harpenden AL5 2JQ, UK.
John P HammondSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
Lars ØstergaardDepartment of Crop Genetics, John Innes Centre, Norwich, NR4 7UH, UK.
Graham J KingSouthern Cross Plant Science, Southern Cross University, PO Box 157Lismore NSW 2480, Australia.
Phillip J WhiteThe James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Martin R BroadleySchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK.
University of Nottingham · GBRothamsted Research · GBJames Hutton Institute · GBJohn Innes Centre · GBSouthern Cross University · AU

Funding

Biotechnology and Biological Sciences Research Council BB/E006965/1Biotechnology and Biological Sciences Research Council BB/F009712/1Biotechnology and Biological Sciences Research Council BB/G013969/1Biotechnology and Biological Sciences Research Council BB/G014159/1Biotechnology and Biological Sciences Research Council BBS/E/J/00000613
6 · The paper itself

Abstract

backgroundTargeted Induced Loci Lesions IN Genomes (TILLING) is increasingly being used to generate and identify mutations in target genes of crop genomes. TILLING populations of several thousand lines have been generated in a number of crop species including Brassica rapa. Genetic analysis of mutants identified by TILLING requires an efficient, high-throughput and cost effective genotyping method to track the mutations through numerous generations. High resolution melt (HRM) analysis has been used in a number of systems to identify single nucleotide polymorphisms (SNPs) and insertion/deletions (IN/DELs) enabling the genotyping of different types of samples. HRM is ideally suited to high-throughput genotyping of multiple TILLING mutants in complex crop genomes. To date it has been used to identify mutants and genotype single mutations. The aim of this study was to determine if HRM can facilitate downstream analysis of multiple mutant lines identified by TILLING in order to characterise allelic series of EMS induced mutations in target genes across a number of generations in complex crop genomes.

resultsWe demonstrate that HRM can be used to genotype allelic series of mutations in two genes, BraA.CAX1a and BraA.MET1.a in Brassica rapa. We analysed 12 mutations in BraA.CAX1.a and five in BraA.MET1.a over two generations including a back-cross to the wild-type. Using a commercially available HRM kit and the Lightscanner™ system we were able to detect mutations in heterozygous and homozygous states for both genes.

conclusionsUsing HRM genotyping on TILLING derived mutants, it is possible to generate an allelic series of mutations within multiple target genes rapidly. Lines suitable for phenotypic analysis can be isolated approximately 8-9 months (3 generations) from receiving M3 seed of Brassica rapa from the RevGenUK TILLING service.

Identifiers

PMID22152063
PMCPMC3251530
OpenAlexW2119061815

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.