Evidence map›Paper›PMID 27423334›Full record

ArticleBMC genomics2016

Elucidation of the genetic basis of variation for stem strength characteristics in bread wheat by Associative Transcriptomics.

Charlotte N Miller, Andrea L Harper, Martin Trick, Peter Werner, Keith Waldron, Ian Bancroft

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification of the Solid Stem Suppressor GeneInternational journal of molecular sciences · 2023
    Article
  4. Article
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  11. Frontiers in plant science · 2021
    Article
  12. Article
  13. AFrontiers in plant science · 2020
    Article
  14. Article
  15. Article
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  17. Article
  18. Dissecting the complex regulation of lodging resistance inMolecular breeding : new strategies in plant improvement · 2018
    Article
  19. 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

6 authors.

Charlotte N MillerJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Andrea L HarperJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Martin TrickJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Peter WernerKWS UK Ltd, 56 Church Street, Thriplow, Hertfordshire, SG8 7RE, UK.
Keith WaldronInstitute of Food Research, Norwich Research Park, Norwich, NR4 7UH, UK.
Ian BancroftJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK. ian.bancroft@york.ac.uk.ORCID 0000-0001-7707-1171

Funding

Biotechnology and Biological Sciences Research Council BB/H004351/1Biotechnology and Biological Sciences Research Council BB/J010375/1Biotechnology and Biological Sciences Research Council BB/L002124/1Biotechnology and Biological Sciences Research Council BB/L027844/1
6 · The paper itself

Abstract

backgroundThe current approach to reducing the tendency for wheat grown under high fertilizer conditions to collapse (lodge) under the weight of its grain is based on reducing stem height via the introduction of Rht genes. However, these reduce the yield of straw (itself an important commodity) and introduce other undesirable characteristics. Identification of alternative height-control loci is therefore of key interest. In addition, the improvement of stem mechanical strength provides a further way through which lodging can be reduced.

resultsTo investigate the prospects for genetic alternatives to Rht, we assessed variation for plant height and stem strength properties in a training genetic diversity panel of 100 wheat accessions fixed for Rht. Using mRNAseq data derived from RNA purified from leaves, functional genotypes were developed for the panel comprising 42,066 Single Nucleotide Polymorphism (SNP) markers and 94,060 Gene Expression Markers (GEMs). In the first application in wheat of the recently-developed method of Associative Transcriptomics, we identified associations between trait variation and both SNPs and GEMs. Analysis of marker-trait associations revealed candidates for the causative genes underlying the trait variation, implicating xylan acetylation and the COP9 signalosome as contributing to stem strength and auxin in the control of the observed variation for plant height. Predictive capabilities of key markers for stem strength were validated using a test genetic diversity panel of 30 further wheat accessions.

conclusionsThis work illustrates the power of Associative Transcriptomics for the exploration of complex traits of high agronomic importance in wheat. The careful selection of genotypes included in the analysis, allowed for high resolution mapping of novel trait-controlling loci in this staple crop. The use of Gene Expression markers coupled with the more traditional sequence-based markers, provides the power required to understand the biological context of the marker-trait associations observed. This not only adds to the wealth of knowledge that we strive to accumulate regarding gene function and plant adaptation, but also provides breeders with the information required to make more informed decisions regarding the potential consequences of incorporating the use of particular markers into future breeding programmes.

Indexed as

Gene Expression ProfilingGenetic Association StudiesGenetic VariationTranscriptomeGenetic MarkersGenotypeHigh-Throughput Nucleotide SequencingPhenotypePlant StemsPolymorphism, Single NucleotideReproducibility of ResultsTriticumGenetic MarkersAssociative TranscriptomicsAuxinCOP9 signalosomelodgingModulus of RuptureXylan acetylation

Identifiers

PMID27423334
PMCPMC4947262

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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.