Evidence map›Paper›PMID 32157120›Full record

ArticleScientific reports2020

Genetic and physical mapping of loci for resistance to blackleg disease in canola (Brassica napus L.).

Rosy Raman, Simon Diffey, Denise M Barbulescu, Neil Coombes, David Luckett, Phil Salisbury, Raymond Cowley, Steve Marcroft, Harsh Raman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Current issues in molecular biology · 2023
    Review
  5. Article
  6. Article
  7. TheFrontiers in plant science · 2021
    Article
  8. Recent Findings Unravel Genes and Genetic Factors UnderlyingInternational journal of molecular sciences · 2020
    Review
  9. Review
  10. 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.

Rosy RamanNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.
Simon DiffeyApex Biometry, South Freemantle, Perth, WA, 6162, Australia.
Denise M BarbulescuAgriculture Victoria, Grains Innovation Park, Horsham, 3401, VIC, Australia.
Neil CoombesNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.
David LuckettNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.
Phil SalisburyAgriculture Victoria, Grains Innovation Park, Horsham, 3401, VIC, Australia.
Raymond CowleyNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.
Steve MarcroftMarcroft Grains Pathology, Grains Innovation Park, Horsham, Victoria, 3400, Australia.
Harsh RamanNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia. harsh.raman@dpi.nsw.gov.au.ORCID 0000-0001-9761-1518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable canola production is essential to meet growing human demands for vegetable oil, biodiesel, and meal for stock feed markets. Blackleg, caused by the fungal pathogen, Leptosphaeria maculans is a devastating disease that can lead to significant yield loss in many canola production regions worldwide. Breakdown of race-specific resistance to L. maculans in commercial cultivars poses a constant threat to the canola industry. To identify new alleles, especially for quantitative resistance (QR), we analyzed 177 doubled haploid (DH) lines derived from an RP04/Ag-Outback cross. DH lines were evaluated for QR under field conditions in three experiments conducted at Wagga Wagga (2013, 2014) and Lake Green (2015), and under shade house conditions using the 'ascospore shower' test. DH lines were also characterized for qualitative R gene-mediated resistance via cotyledon tests with two differential single spore isolates, IBCN17 and IBCN76, under glasshouse conditions. Based on 18,851 DArTseq markers, a linkage map representing 2,019 unique marker bins was constructed and then utilized for QTL detection. Marker regression analysis identified 22 significant marker associations for resistance, allowing identification of two race-specific resistance R genes, Rlm3 and Rlm4, and 21 marker associations for QR loci. At least three SNP associations for QR were repeatedly detected on chromosomes A03, A07 and C04 across phenotyping environments. Physical mapping of markers linked with these consistent QR loci on the B. napus genome assembly revealed their localization in close proximity of the candidate genes of B. napus BnaA03g26760D (A03), BnaA07g20240D (A07) and BnaC04g02040D (C04). Annotation of these candidate genes revealed their association with protein kinase and jumonji proteins implicated in defense resistance. Both Rlm3 and Rlm4 genes identified in this DH population did not show any association with resistance loci detected under either field and/or shade house conditions (ascospore shower) suggesting that both genes are ineffective in conferring resistance to L. maculans in Australian field conditions. Taken together, our study identified sequence-based molecular markers for dissecting R and QR loci to L. maculans in a canola DH population from the RP04/Ag-Outback cross.

Indexed as

Disease ResistanceQuantitative Trait LociBrassica napusChromosome MappingGenetic LinkageHaploidyPhenotypePlant DiseasesPlant ProteinsPolymorphism, Single NucleotideRegression AnalysisPlant Proteins

Identifiers

PMID32157120
PMCPMC7064481

What OpenQuestion holds

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LicenceCC BY
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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.