Evidence map›Paper›PMID 31623579›Full record

ArticleBMC plant biology2019

Mapping of resistance to corn borers in a MAGIC population of maize.

José Cruz Jiménez-Galindo, Rosa Ana Malvar, Ana Butrón, Rogelio Santiago, Luis Fernando Samayoa, Marlon Caicedo, Bernardo Ordás

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In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  10. Genome-Wide Association Analysis of Senescence-Related Traits in Maize.International journal of molecular sciences · 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

7 authors.

José Cruz Jiménez-GalindoMisión Biológica de Galicia, Spanish National Research Council (CSIC), Apartado 28, 36080, Pontevedra, Spain.
Rosa Ana MalvarMisión Biológica de Galicia, Spanish National Research Council (CSIC), Apartado 28, 36080, Pontevedra, Spain.
Ana ButrónMisión Biológica de Galicia, Spanish National Research Council (CSIC), Apartado 28, 36080, Pontevedra, Spain.
Rogelio SantiagoDepartamento Biología Vegetal y Ciencias del Suelo, Unidad Asociada BVE1-UVIGO y MBG (CSIC), Facultad de Biología, Universidad de Vigo, Campus As Lagoas Marcosende, 36310, Vigo, Spain.
Luis Fernando SamayoaNorth Carolina State University, 4210 Williams Hall 101, Derieux Place, Raleigh, NC, 27695, USA.
Marlon CaicedoInstituto Nacional de Investigaciones Agropecuarias (INIAP), 170315, Quito, Ecuador.
Bernardo OrdásMisión Biológica de Galicia, Spanish National Research Council (CSIC), Apartado 28, 36080, Pontevedra, Spain. bordas@mbg.csic.es.

Funding

Spanish Government AGL2012-33415Spanish Government AGL2015-67313
6 · The paper itself

Abstract

backgroundCorn borers constitute an important pest of maize around the world; in particular Sesamia nonagrioides Lefèbvre, named Mediterranean corn borer (MCB), causes important losses in Southern Europe. Methods of selection can be combined with transgenic approaches to increase the efficiency and durability of the resistance to corn borers. Previous studies of the genetic factors involved in resistance to MCB have been carried out using bi-parental populations that have low resolution or using association inbred panels that have a low power to detect rare alleles. We developed a Multi-parent Advanced Generation InterCrosses (MAGIC) population to map with high resolution the genetic determinants of resistance to MCB.

resultsWe detected multiple single nucleotide polymorphisms (SNPs) of low effect associated with resistance to stalk tunneling by MCB. We dissected a wide region related to stalk tunneling in multiple studies into three smaller regions (at ~ 150, ~ 155, and ~ 165 Mb in chromosome 6) that closely overlap with regions associated with cell wall composition. We also detected regions associated with kernel resistance and agronomic traits, although the co-localization of significant regions between traits was very low. This indicates that it is possible the concurrent improvement of resistance and agronomic traits.

conclusionsWe developed a mapping population which allowed a finer dissection of the genetics of maize resistance to corn borers and a solid nomination of candidate genes based on functional information. The population, given its large variability, was also adequate to map multiple traits and study the relationship between them.

Indexed as

AllelesAnimalsChromosome MappingDisease ResistanceGenome-Wide Association StudyGenotypeMothsPhenotypePlant DiseasesPolymorphism, Single NucleotideQuantitative Trait LociZea maysGenome wide association analysis (GWAS)MaizeMapping with multi-parent advanced generation InterCrosses (MAGIC) populationsMediterranean corn borerQuantitative trait loci (QTL)ResistanceSesamia nonagrioides

Identifiers

PMID31623579
PMCPMC6796440

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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.