Evidence map›Paper›PMID 30026746›Full record

ArticleFrontiers in plant science2018

Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses.

Arfang Badji, Michael Otim, Lewis Machida, Thomas Odong, Daniel Bomet Kwemoi, Dennis Okii, Symphorien Agbahoungba, Natasha Mwila, Frank Kumi, Angele Ibanda and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
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  5. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
    Article
  6. Review
  7. Review
  8. Identifying Soybean Pod Borer (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

13 authors at 3 institutions in 2 countries.

Arfang BadjiDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Michael OtimCereals Program, National Crop Resource Research Institute, Kampala, Uganda.
Lewis MachidaInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Thomas OdongDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Daniel Bomet KwemoiCereals Program, National Crop Resource Research Institute, Kampala, Uganda.
Dennis OkiiDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Symphorien AgbahoungbaDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Natasha MwilaDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Frank KumiDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Angele IbandaDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Stephen MugoInternational Maize and Wheat Improvement Center, Nairobi, Kenya.
Samuel KyamanywaDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Patrick RubaihayoDepartment of Agricultural Production, Makerere University, Kampala, Uganda.
Makerere University · UGInternational Maize and Wheat Improvement Center · KENational Agricultural Research Institute · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combinatorial insect attacks on maize leaves, stems, and kernels cause significant yield losses and mycotoxin contaminations. Several small effect quantitative trait loci (QTL) control maize resistance to stem borers and storage pests and are correlated with secondary metabolites. However, efficient use of QTL in molecular breeding requires a synthesis of the available resistance information. In this study, separate meta-analyses of QTL of maize response to stem borers and storage pests feeding on leaves, stems, and kernels along with maize cell wall constituents discovered in these tissues generated 24 leaf (LIR), 42 stem (SIR), and 20 kernel (KIR) insect resistance meta-QTL (MQTL) of a diverse genetic and geographical background. Most of these MQTL involved resistance to several insect species, therefore, generating a significant interest for multiple-insect resistance breeding. Some of the LIR MQTL such as LIR4, 17, and 22 involve resistance to European corn borer, sugarcane borer, and southwestern corn borer. Eleven out of the 42 SIR MQTL related to resistance to European corn borer and Mediterranean corn borer. There KIR MQTL, KIR3, 15, and 16 combined resistance to kernel damage by the maize weevil and the Mediterranean corn borer and could be used in breeding to reduce insect-related post-harvest grain yield loss and field to storage mycotoxin contamination. This meta-analysis corroborates the significant role played by cell wall constituents in maize resistance to insect since the majority of the MQTL contain QTL for members of the hydroxycinnamates group such as p-coumaric acid, ferulic acid, and other diferulates and derivates, and fiber components such as acid detergent fiber, neutral detergent fiber, and lignin. Stem insect resistance MQTL display several co-localization between fiber and hydroxycinnamate components corroborating the hypothesis of cross-linking between these components that provide mechanical resistance to insect attacks. Our results highlight the existence of combined-insect resistance genomic regions in maize and set the basis of multiple-pests resistance breeding.

Indexed as

cell wall constituentsmaizemarker-assisted selectionmultiple-insect resistancestem borersstorage peststissue-specific meta-QTL

Identifiers

PMID30026746
PMCPMC6041972
OpenAlexW2808585448

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Registered trials

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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.