Evidence map›Paper›PMID 32468093›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

Genetic mapping of quantitative trait loci and a major locus for resistance to grey leaf spot in maize.

Lei Du, Feng Yu, Hao Zhang, Bo Wang, Kejun Ma, Changping Yu, Wangsen Xin, Xing Huang, Yongzhong Liu, Kede Liu

Abstract read
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. 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
2.3field-weighted citation impact, top 12% 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, 22 citations in OpenAlex.

  1. Two pattern recognition receptors provide quantitative resistance to Gray Leaf Spot in Maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Genetic dissection of foxtail millet bristles using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Article
  4. Article
  5. Article
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  7. Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  8. Article
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  15. Genetic dissection of maize disease resistance and its applications in molecular breeding.Molecular breeding : new strategies in plant improvement · 2021
    Review
  16. Article
  17. Fine Mapping of a New Major QTL-Frontiers in plant science · 2021
    Article
  18. 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

10 authors at 3 institutions in 1 country.

Lei DuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Feng YuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Hao ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Bo WangWuhan Genoseq Technology Co., Ltd, Wuhan, 430070, China.
Kejun MaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Changping YuShiyan Academy of Agricultural Sciences, Shiyan, 442000, China.
Wangsen XinNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Xing HuangInstitute of Environment and Plant Protection, Chinese Academy of Agricultural Sciences, Haikou, 571101, China.
Yongzhong LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. xxdy2006@163.com.
Kede LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. kdliu@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-1395-2049
Huazhong Agricultural University · CNEnvironment and Plant Protection Research Institute · CNPeople's Hospital of Shiyan · CN

Funding

the National Key Research and Development Program of China 2016YFD0101205
6 · The paper itself

Abstract

key messageThe genetic basis of GLS resistance was dissected using two DH populations sharing a common resistant parent. A major QTL repeatedly detected in multiple developmental stages and environments was fine mapped in a backcross population. Grey leaf spot (GLS), caused by Cercospora zeae-maydis or Cercospora zeina, is a highly destructive foliar disease worldwide. However, the mechanism of resistance against GLS is not well understood. To study the inheritance of this resistance, we developed two doubled haploid (DH) populations sharing a common resistant parent. The two DH populations were grown in two locations representing the typical maize-growing mountain area in Southwest China for 2 years. GLS disease severity was investigated 2 or 3 times until maturity in the 2 years, and the area under the disease progress curve was calculated. Two high-density linkage maps were constructed by genotyping-by-sequencing. A total of 22 quantitative trait loci (QTLs) were detected for GLS resistance, with most QTLs being repeatedly detected in different stages, locations and years. The confidence intervals of two major QTLs (qGLS_Y2-2 and qGLS_Z2-1) on chromosome 2 from the two DH populations overlapped with each other and were integrated into one consensus QTL (qGLS_YZ2-1). Using highly resistant and highly susceptible plants from a BC

Indexed as

CercosporaChinaChromosome MappingChromosomes, PlantDisease ResistanceGenetic LinkageGenetic MarkersGenotypeHaploidyHigh-Throughput Nucleotide SequencingPhenotypePlant DiseasesQuantitative Trait LociZea maysGenetic Markers

Identifiers

PMID32468093
OpenAlexW3031784455

What OpenQuestion holds

Textmetadata
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.