Evidence map›Paper›PMID 39172650›Full record

ArticleG3 (Bethesda, Md.)2024

Complementary approaches to dissect late leaf rust resistance in an interspecific raspberry population.

Melina Prado, Allison Vieira da Silva, Gabriela Romêro Campos, Karina Lima Reis Borges, Rafael Massahiro Yassue, Gustavo Husein, Felix Frederik Akens, Marcel Bellato Sposito, Lilian Amorim, Pariya Behrouzi and 2 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Melina PradoDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.ORCID 0000-0001-5926-1617
Allison Vieira da SilvaDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.
Gabriela Romêro CamposDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.
Karina Lima Reis BorgesRice Research Station, Louisiana State University, Baton Rouge, LA 70803, USA.
Rafael Massahiro YassueGDM Seeds, Campinas 13092-599, Brazil.
Gustavo HuseinDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.
Felix Frederik AkensBiometris, Wageningen University and Research, Wageningen 6708 PB, Netherlands.
Marcel Bellato SpositoDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.
Lilian AmorimDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.
Pariya BehrouziBiometris, Wageningen University and Research, Wageningen 6708 PB, Netherlands.ORCID 0000-0001-6762-5433
Daniela Bustos-KortsFacultad de Ciencias Agrarias y Alimantarias, Universidad Austral de Chile, Valdivia 5090000, Chile.
Roberto Fritsche-NetoDepartment of Genetics, Luiz de Queiroz College of Agriculture/University of São Paulo, Piracicaba 13418-900, Brazil.

Funding

FAPESP 19/13191-5
6 · The paper itself

Abstract

Over the last 10 years, global raspberry production has increased by 47.89%, based mainly on the red raspberry species (Rubus idaeus). However, the black raspberry (Rubus occidentalis), although less consumed, is resistant to one of the most important diseases for the crop, the late leaf rust caused by Acculeastrum americanum fungus. In this context, genetic resistance is the most sustainable way to control the disease, mainly because there are no registered fungicides for late leaf rust in Brazil. Therefore, the aim was to understand the genetic architecture that controls resistance to late leaf rust in raspberries. For that, we used an interspecific multiparental population using the species mentioned above as parents, 2 different statistical approaches to associate the phenotypes with markers [GWAS (genome-wide association studies) and copula graphical models], and 2 phenotyping methodologies from the first to the 17th day after inoculation (high-throughput phenotyping with a multispectral camera and traditional phenotyping by disease severity scores). Our findings indicate that a locus of higher effect, at position 13.3 Mb on chromosome 5, possibly controls late leaf rust resistance, as both GWAS and the network suggested the same marker. Of the 12 genes flanking its region, 4 were possible receptors, 3 were likely defense executors, 1 gene was likely part of signaling cascades, and 4 were classified as nondefense related. Although the network and GWAS indicated the same higher effect genomic region, the network identified other different candidate regions, potentially complementing the genetic control comprehension.

Indexed as

BasidiomycotaDisease ResistanceGenome-Wide Association StudyPhenotypePlant DiseasesRubusChromosome MappingPlant LeavesPolymorphism, Single NucleotideQuantitative Trait LociAcculeastrum americanumcopula graphical models networkGWAShigh-throughput phenotypingPlant Genetics and GenomicRubus sp

Identifiers

PMID39172650
PMCPMC11457092

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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.