Evidence map›Paper›PMID 26152570›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015

Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm.

Manje Gowda, Biswanath Das, Dan Makumbi, Raman Babu, Kassa Semagn, George Mahuku, Michael S Olsen, Jumbo M Bright, Yoseph Beyene, Boddupalli M Prasanna

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 185 citations in OpenAlex.

  1. Article
  2. Article
  3. Targeted knockout of a host peroxisomal peptidase confers field resistance to maize lethal necrosis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  14. Genomic prediction of resistance toEvolutionary applications · 2024
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  20. Review

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

10 authors at 3 institutions in 3 countries.

Manje GowdaInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya. M.Gowda@cgiar.org.
Biswanath DasInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Dan MakumbiInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Raman BabuInternational Maize and Wheat Improvement Center (CIMMYT), Hyderabad, India.
Kassa SemagnInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
George MahukuInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Michael S OlsenInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Jumbo M BrightInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Yoseph BeyeneInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Boddupalli M PrasannaInternational Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
Centro Internacional de Mejoramiento de Maíz Y Trigo · MXInternational Maize and Wheat Improvement Center · KEInternational Maize and Wheat Improvement Center · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGenome-wide association analysis in tropical and subtropical maize germplasm revealed that MLND resistance is influenced by multiple genomic regions with small to medium effects. The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. Our objective was to gain insights into the genetic architecture underlying the resistance to MLND by genome-wide association study (GWAS) and genomic selection. We used two association mapping (AM) panels comprising a total of 615 diverse tropical/subtropical maize inbred lines. All the lines were evaluated against MLND under artificial inoculation. Both the panels were genotyped using genotyping-by-sequencing. Phenotypic variation for MLND resistance was significant and heritability was moderately high in both the panels. Few promising lines with high resistance to MLND were identified to be used as potential donors. GWAS revealed 24 SNPs that were significantly associated (P < 3 × 10(-5)) with MLND resistance. These SNPs are located within or adjacent to 20 putative candidate genes that are associated with plant disease resistance. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed higher prediction accuracy for IMAS-AM panel (0.56) over DTMA-AM (0.36) panel. The prediction accuracy for both within and across panels is promising; inclusion of MLND resistance associated SNPs into the prediction model further improved the accuracy. Overall, the study revealed that resistance to MLND is controlled by multiple loci with small to medium effects and the SNPs identified by GWAS can be used as potential candidates in MLND resistance breeding program.

Indexed as

Disease ResistanceGenetic Association StudiesGenotypeMosaic VirusesPhenotypePlant BreedingPlant DiseasesPolymorphism, Single NucleotideZea mays

Identifiers

PMID26152570
PMCPMC4572053
OpenAlexW1932997009

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.