Evidence map›Paper›PMID 30407665›Full record

ReviewThe Plant journal : for cell and molecular biology2019

Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat.

Philippa Borrill, Sophie A Harrington, Cristobal Uauy

Open access · hybridAbstract readReview
In one paragraph

Review in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
18.6field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
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  16. Wheat Omics: Advancements and Opportunities.Plants (Basel, Switzerland) · 2023
    Review
  17. Review
  18. 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

3 authors at 2 institutions in 1 country.

Philippa BorrillSchool of Biosciences, The University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0002-7623-8256
Sophie A HarringtonJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.ORCID 0000-0003-0754-0678
Cristobal UauyJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.ORCID 0000-0002-9814-1770
John Innes Centre · GBUniversity of Birmingham · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M014045/1Biotechnology and Biological Sciences Research Council BB/P013511/1Biotechnology and Biological Sciences Research Council BB/P016855/1
6 · The paper itself

Abstract

Improving traits in wheat has historically been challenging due to its large and polyploid genome, limited genetic diversity and in-field phenotyping constraints. However, within recent years many of these barriers have been lowered. The availability of a chromosome-level assembly of the wheat genome now facilitates a step-change in wheat genetics and provides a common platform for resources, including variation data, gene expression data and genetic markers. The development of sequenced mutant populations and gene-editing techniques now enables the rapid assessment of gene function in wheat directly. The ability to alter gene function in a targeted manner will unmask the effects of homoeolog redundancy and allow the hidden potential of this polyploid genome to be discovered. New techniques to identify and exploit the genetic diversity within wheat wild relatives now enable wheat breeders to take advantage of these additional sources of variation to address challenges facing food production. Finally, advances in phenomics have unlocked rapid screening of populations for many traits of interest both in greenhouses and in the field. Looking forwards, integrating diverse data types, including genomic, epigenetic and phenomics data, will take advantage of big data approaches including machine learning to understand trait biology in wheat in unprecedented detail.

Indexed as

GenomicsPhenomicsGene EditingGenetic MarkersGenome, PlantPhenotypePolyploidyTriticumGenetic Markerscrop improvementgenetic diversitygeneticsgene validationhomoeolognatural variationphenotypingpolyploidyTriticum aestivum

Identifiers

PMID30407665
PMCPMC6378701
OpenAlexW2899926193

What OpenQuestion holds

Textmetadata
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.