Evidence map›Paper›PMID 30230187›Full record

ArticlePlant biotechnology journal2019

Variation in abundance of predicted resistance genes in the Brassica oleracea pangenome.

Philipp E Bayer, Agnieszka A Golicz, Soodeh Tirnaz, Chon-Kit Kenneth Chan, David Edwards, Jacqueline Batley

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. 3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  10. Integrating multi-omics and machine learning for disease resistance prediction in legumes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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10 more citing papers are in PubMed but not listed here.

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.

Philipp E BayerSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.ORCID 0000-0001-8530-3067
Agnieszka A GoliczPlant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Vic., Australia.ORCID 0000-0002-9711-4826
Soodeh TirnazSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.ORCID 0000-0002-6100-1790
Chon-Kit Kenneth ChanSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.ORCID 0000-0003-0413-6397
David EdwardsSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.ORCID 0000-0001-7599-6760
Jacqueline BatleySchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.ORCID 0000-0002-5391-5824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brassica oleracea is an important agricultural species encompassing many vegetable crops including cabbage, cauliflower, broccoli and kale; however, it can be susceptible to a variety of fungal diseases such as clubroot, blackleg, leaf spot and downy mildew. Resistance to these diseases is meditated by specific disease resistance genes analogs (RGAs) which are differently distributed across B. oleracea lines. The sequenced reference cultivar does not contain all B. oleracea genes due to gene presence/absence variation between individuals, which makes it necessary to search for RGA candidates in the B. oleracea pangenome. Here we present a comparative analysis of RGA candidates in the pangenome of B. oleracea. We show that the presence of RGA candidates differs between lines and suggests that in B. oleracea, SNPs and presence/absence variation drive RGA diversity using separate mechanisms. We identified 59 RGA candidates linked to Sclerotinia, clubroot, and Fusarium wilt resistance QTL, and these findings have implications for crop breeding in B. oleracea, which may also be applicable in other crops species.

Indexed as

AscomycotaBrassicaCrops, AgriculturalDisease ResistanceFusariumGenome, PlantPlant BreedingPlant DiseasesQuantitative Trait LociBrassicaceaeBrassica oleraceapangenomicsPAVresistance genesRGAs

Identifiers

PMID30230187
PMCPMC6419861

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.