Evidence map›Paper›PMID 30558550›Full record

ArticleBMC genomics2018

DAWN: a resource for yielding insights into the diversity among wheat genomes.

Nathan S Watson-Haigh, Radosław Suchecki, Elena Kalashyan, Melissa Garcia, Ute Baumann

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. Review
  7. TheFrontiers in plant science · 2021
    Article
  8. Article
  9. QTL analysis and fine mapping of a QTL for yield-related traits in wheat grown in dry and hot environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  10. High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  11. 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

5 authors.

Nathan S Watson-HaighSchool of Agriculture, Food and Wine, University of Adelaide, PMB 1, Glen Osmond, 5064, SA, Australia. nathan.watson-haigh@adelaide.edu.au.ORCID http://orcid.org/0000-0002-7935-6151
Radosław SucheckiSchool of Agriculture, Food and Wine, University of Adelaide, PMB 1, Glen Osmond, 5064, SA, Australia.
Elena KalashyanSchool of Agriculture, Food and Wine, University of Adelaide, PMB 1, Glen Osmond, 5064, SA, Australia.
Melissa GarciaSchool of Agriculture, Food and Wine, University of Adelaide, PMB 1, Glen Osmond, 5064, SA, Australia.
Ute BaumannSchool of Agriculture, Food and Wine, University of Adelaide, PMB 1, Glen Osmond, 5064, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemocratising the growing body of whole genome sequencing data available for Triticum aestivum (bread wheat) has been impeded by the lack of a genome reference and the large computational requirements for analysing these data sets.

resultsDAWN (Diversity Among Wheat geNomes) integrates data from the T. aestivum Chinese Spring (CS) IWGSC RefSeq v1.0 genome with public WGS and exome data from 17 and 62 accessions respectively, enabling researchers and breeders alike to investigate genotypic differences between wheat accessions at the level of whole chromosomes down to individual genes.

conclusionsUsing DAWN we show that it is possible to visualise small and large chromosomal deletions, identify haplotypes at a glance and spot the consequences of selective breeding. DAWN allows us to detect the break points of alien introgression segments brought into an accession when transferring desired genes. Furthermore, we can find possible explanations for reduced recombination in parts of a chromosome, we can predict regions with linkage drag, and also look at diversity in centromeric regions.

Indexed as

Databases, GeneticGenome, PlantCentromereExome SequencingGenotypeHaplotypesPolymorphism, Single NucleotideQuantitative Trait LociTriticumDiversityGenomeVariantsVisualisationWheat

Identifiers

PMID30558550
PMCPMC6296097

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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.