Evidence map›Paper›PMID 26925079›Full record

ArticleFrontiers in plant science2016

Isolate Dependency of Brassica rapa Resistance QTLs to Botrytis cinerea.

Wei Zhang, Soon-Tae Kwon, Fang Chen, Daniel J Kliebenstein

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.9field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  5. Article
  6. Same Difference? Low and High GlucosinolateFrontiers in plant science · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Genetic mapping and QTL analysis of Botrytis resistance inMolecular breeding : new strategies in plant improvement · 2017
    Article
  12. 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

4 authors at 3 institutions in 4 countries.

Wei ZhangDepartment of Plant Sciences, University of California, Davis, DavisCA, USA; National and Local Joint Engineering Laboratory for Energy Plant Bio-oil Production and Application, Key Laboratory of Bio-resource and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan UniversityChengdu, China.
Soon-Tae KwonDepartment of Plant Sciences, University of California, Davis, DavisCA, USA; Department of Horticulture and Breeding, Andong National UniversityAndong, South Korea.
Fang ChenNational and Local Joint Engineering Laboratory for Energy Plant Bio-oil Production and Application, Key Laboratory of Bio-resource and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University Chengdu, China.
Daniel J KliebensteinDepartment of Plant Sciences, University of California, Davis, DavisCA, USA; DynaMo Center of Excellence, University of CopenhagenCopenhagen, Denmark.
Sichuan University · CNAndong National University · KRUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generalist necrotrophic pathogens including Botrytis cinerea cause significant yield and financial losses on Brassica crops. However, there is little knowledge about the mechanisms underlying the complex interactions encoded by both host and pathogen genomes in this interaction. This potentially includes multiple layers of plant defense and pathogen virulence mechanisms that could complicate in breeding broad spectrum resistance within Brassica species. Glucosinolates (GSLs) are a diverse group of defense metabolites that play a key role in interaction between Brassica and biotic attackers. In this study, we utilized a collection of diverse B. cinerea isolates to investigate resistance within the Brassica rapa R500 × IMB211 recombinant inbred line population. We tested variation on lesion development and glucosinolate accumulation in parental lines and all population lines. We then mapped quantitative trait loci (QTL) for both resistances to B. cinerea and defense metabolites in this population. Phenotypic analysis and QTL mapping demonstrate that the genetic basis of resistance to B. cinerea in B. rapa is isolate specific and polygenic with transgressive segregation that both parents contribute resistance alleles. QTLs controlling defensive GSLs are highly dependent on pathogen infection. An overlap of two QTLs identified between resistance to B. cinerea and defense metabolites also showed isolate specific effects. This work suggests that directly searching for resistance loci may not be the best approach at improving resistance in B. rapa to necrotrophic pathogen.

Indexed as

B. cinereaBrassica rapaGSLplant–pathogen interactionQTL mappingquantitative disease resistance

Identifiers

PMID26925079
PMCPMC4756292
OpenAlexW2274936590

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.