Evidence map›Paper›PMID 32844252›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

Characterization of black spot resistance in diploid roses with QTL detection, meta-analysis and candidate-gene identification.

D C Lopez Arias, A Chastellier, T Thouroude, J Bradeen, L Van Eck, Yannick De Oliveira, S Paillard, F Foucher, L Hibrand-Saint Oyant, V Soufflet-Freslon

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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
1.1field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  8. The identification of theHorticulture research · 2022
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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

10 authors at 3 institutions in 2 countries.

D C Lopez AriasIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France. diana.lopez-arias@inrae.fr.ORCID https://orcid.org/0000-0001-8129-2786
A ChastellierIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.
T ThouroudeIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.
J BradeenDepartment of Plant Pathology and The Stakman-Borlaug Center for Sustainable Plant Health, University of Minnesota, St. Paul, MN, USA.ORCID https://orcid.org/0000-0003-1930-4728
L Van EckDepartment of Plant Pathology and The Stakman-Borlaug Center for Sustainable Plant Health, University of Minnesota, St. Paul, MN, USA.ORCID https://orcid.org/0000-0002-3073-1344
Yannick De OliveiraGénétique Quantitative Et Évolution - Le Moulon, INRAE - Université Paris-Sud - CNRS - AgroParisTech, Ferme du Moulon, 91190, Gif-sur-Yvette, France.
S PaillardIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.ORCID https://orcid.org/0000-0001-7516-848X
F FoucherIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.ORCID https://orcid.org/0000-0002-3693-7183
L Hibrand-Saint OyantIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.ORCID https://orcid.org/0000-0002-7604-3811
V Soufflet-FreslonIRHS-UMR1345, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.ORCID https://orcid.org/0000-0002-1264-7595
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity of Minnesota · USUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageTwo environmentally stable QTLs linked to black spot disease resistance in the Rosa wichurana genetic background were detected, in different connected populations, on linkage groups 3 and 5. Co-localization between R-genes and defense response genes was revealed via meta-analysis. The widespread rose black spot disease (BSD) caused by the hemibiotrophic fungus Diplocarpon rosae Wolf. is efficiently controlled with fungicides. However, in the actual context of reducing agrochemical use, the demand for rose bushes with higher levels of resistance has increased. Qualitative resistance conferred by major genes (Rdr genes) has been widely studied but quantitative resistance to BSD requires further investigation. In this study, segregating populations connected through the BSD resistant Rosa wichurana male parent were phenotyped for disease resistance over several years and locations. A pseudo-testcross approach was used, resulting in six parental maps across three populations. A total of 45 individual QTLs with significant effect on BSD resistance were mapped on the male maps (on linkage groups (LG) B3, B4, B5 and B6), and 12 on the female maps (on LG A1, A2, A3, A4 and A5). Two major regions linked to BSD resistance were identified on LG B3 and B5 of the male maps and were integrated into a consensus map built from all three of the male maps. A meta-analysis was used to narrow down the confidence intervals of individual QTLs from three populations by generating meta-QTLs. Two 'hot spots' or meta-QTLs were found per LG, enabling reduction of the confidence interval to 10.42 cM for B3 and 11.47 cM for B5. An expert annotation of NBS-LRR encoding genes of the genome assembly of Hibrand et al. was performed and used to explore potential co-localization with R-genes. Co-localization with defense response genes was also investigated.

Indexed as

Quantitative Trait LociAscomycotaChromosome MappingChromosomes, PlantDisease ResistanceGene Expression Regulation, PlantGenetic LinkageImmunity, InnatePlant DiseasesPlant ProteinsRosaPlant Proteins

Identifiers

PMID32844252
OpenAlexW3081241005

What OpenQuestion holds

Textmetadata
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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.