Evidence map›Paper›PMID 32571803›Full record

ArticleG3 (Bethesda, Md.)2020

Identification of Loci That Confer Resistance to Bacterial and Fungal Diseases of Maize.

Yuting Qiu, Julian Cooper, Christopher Kaiser, Randall Wisser, Santiago X Mideros, Tiffany M Jamann

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Identification and fine-mapping ofMolecular breeding : new strategies in plant improvement · 2025
    Article
  2. Article
  3. Spatiotemporal Dynamics of Maize (Frontiers in microbiology · 2021
    Review
  4. Review
  5. 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

6 authors at 2 institutions in 1 country.

Yuting QiuDept. of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801 and.
Julian CooperDept. of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801 and.
Christopher KaiserDept. of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801 and.
Randall WisserDept. of Plant and Soil Sciences, University of Delaware, Newark, DE 19716.ORCID 0000-0003-1075-0115
Santiago X MiderosDept. of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801 and.ORCID 0000-0002-8988-2964
Tiffany M JamannDept. of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801 and tjamann@illinois.edu.ORCID 0000-0002-7288-0866
University of Illinois Urbana-Champaign · USUniversity of Delaware · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crops are hosts to numerous plant pathogenic microorganisms. Maize has several major disease issues; thus, breeding multiple disease resistant (MDR) varieties is critical. While the genetic basis of resistance to multiple fungal pathogens has been studied in maize, less is known about the relationship between fungal and bacterial resistance. In this study, we evaluated a disease resistance introgression line (DRIL) population for the foliar disease Goss's bacterial wilt and blight (GW) and conducted quantitative trait locus (QTL) mapping. We identified a total of ten QTL across multiple environments. We then combined our GW data with data on four additional foliar diseases (northern corn leaf blight, southern corn leaf blight, gray leaf spot, and bacterial leaf streak) and conducted multivariate analysis to identify regions conferring resistance to multiple diseases. We identified 20 chromosomal bins with putative multiple disease effects. We examined the five chromosomal regions (bins 1.05, 3.04, 4.06, 8.03, and 9.02) with the strongest statistical support. By examining how each haplotype effected each disease, we identified several regions associated with increased resistance to multiple diseases and three regions associated with opposite effects for bacterial and fungal diseases. In summary, we identified several promising candidate regions for multiple disease resistance in maize and specific DRILs to expedite interrogation.

Indexed as

MycosesZea maysAscomycotaDisease ResistancePlant BreedingPlant DiseasesQuantitative Trait LociGenetics of ImmunityGoss’s wiltmaizeMultiple disease resistancequantitative disease resistance

Identifiers

PMID32571803
PMCPMC7407448
OpenAlexW3036579868

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.