Evidence map›Paper›PMID 27553246›Full record

ArticleBMC plant biology2016

Multi-environment QTL studies suggest a role for cysteine-rich protein kinase genes in quantitative resistance to blackleg disease in Brassica napus.

Nicholas J Larkan, Harsh Raman, Derek J Lydiate, Stephen J Robinson, Fengqun Yu, Denise M Barbulescu, Rosy Raman, David J Luckett, Wayne Burton, Neil Wratten and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
15.1field-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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Breeding and management of major resistance genes to stem canker/blackleg in Brassica crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  6. Current issues in molecular biology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Tandem Protein Kinases Emerge as New Regulators of Plant Immunity.Molecular plant-microbe interactions : MPMI · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Exploring Mechanisms of Quantitative Resistance toPlants (Basel, Switzerland) · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors at 4 institutions in 3 countries.

Nicholas J LarkanSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada.
Harsh RamanGraham Centre for Agricultural Innovation (an alliance between Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
Derek J LydiateSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada.
Stephen J RobinsonSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada.
Fengqun YuSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada.
Denise M BarbulescuDepartment of Economic Development, Jobs, Transport and Resources, Grains Innovation Park, Horsham, VIC, 3400, Australia.
Rosy RamanGraham Centre for Agricultural Innovation (an alliance between Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
David J LuckettGraham Centre for Agricultural Innovation (an alliance between Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
Wayne BurtonDepartment of Economic Development, Jobs, Transport and Resources, Grains Innovation Park, Horsham, VIC, 3400, Australia.
Neil WrattenGraham Centre for Agricultural Innovation (an alliance between Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
Philip A SalisburyDepartment of Economic Development, Jobs, Transport and Resources, Centre for AgriBioscience, La Trobe University, Bundoora, VIC, 3083, Australia.
S Roger RimmerSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada.
M Hossein BorhanSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, S7N 0X2, Canada. Hossein.Borhan@agr.gc.ca.
Agriculture and Agri-Food Canada · CACharles Sturt University · AUAgriBio · AUHorse Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResistance to the blackleg disease of Brassica napus (canola/oilseed rape), caused by the hemibiotrophic fungal pathogen Leptosphaeria maculans, is determined by both race-specific resistance (R) genes and quantitative resistance loci (QTL), or adult-plant resistance (APR). While the introgression of R genes into breeding material is relatively simple, QTL are often detected sporadically, making them harder to capture in breeding programs. For the effective deployment of APR in crop varieties, resistance QTL need to have a reliable influence on phenotype in multiple environments and be well defined genetically to enable marker-assisted selection (MAS).

resultsDoubled-haploid populations produced from the susceptible B. napus variety Topas and APR varieties AG-Castle and AV-Sapphire were analysed for resistance to blackleg in two locations over 3 and 4 years, respectively. Three stable QTL were detected in each population, with two loci appearing to be common to both APR varieties. Physical delineation of three QTL regions was sufficient to identify candidate defense-related genes, including a cluster of cysteine-rich receptor-like kinases contained within a 49 gene QTL interval on chromosome A01. Individual L. maculans isolates were used to define the physical intervals for the race-specific R genes Rlm3 and Rlm4 and to identify QTL common to both field studies and the cotyledon resistance response.

conclusionThrough multi-environment QTL analysis we have identified and delineated four significant and stable QTL suitable for MAS of quantitative blackleg resistance in B. napus, and identified candidate genes which potentially play a role in quantitative defense responses to L. maculans.

Indexed as

Quantitative Trait LociAscomycotaBrassica napusChromosome MappingChromosomes, PlantPhenotypePlant DiseasesProtein KinasesProtein KinasesBlacklegBrassica napusChitinCRKLeptosphaeria maculansQuantitative resistance

Identifiers

PMID27553246
PMCPMC4995785
OpenAlexW2507376060

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.