Theoretical and Applied Genetics

, Volume 125, Issue 8, pp 1797–1808 | Cite as

QTL mapping of resistance to gray leaf spot in maize

  • Yan Zhang
  • Ling Xu
  • Xingming Fan
  • Jing Tan
  • Wei Chen
  • Mingliang Xu
Original Paper
First Online:
Received:
Accepted:

Abstract

Gray leaf spot (GLS), caused by the causal fungal pathogen Cercospora zeae-maydis, is one of the most serious foliar diseases of maize worldwide. In the current study, a highly resistant inbred line Y32 and a susceptible line Q11 were used to produce segregating populations for both genetic analysis and QTL mapping. The broad-sense heritability (H 2) for GLS resistance was estimated to be as high as 0.85, indicating that genetic factors played key roles in phenotypic variation. In initial QTL analysis, four QTL, located on chromosomes 1, 2, 5, and 8, were detected to confer GLS resistance. Each QTL could explain 2.53–23.90 % of the total phenotypic variation, predominantly due to additive genetic effects. Two major QTL, qRgls1 and qRgls2 on chromosomes 8 and 5, were consistently detected across different locations and replicates. Compared to the previous results, qRgls2 is located in a ‘hotspot’ for GLS resistance; while, qRgls1 does not overlap with any other known resistance QTL. Furthermore, the major QTL-qRgls1 was fine-mapped into an interval of 1.4 Mb, flanked by the markers GZ204 and IDP5. The QTL-qRgls1 could enhance the resistance percentages by 19.70–61.28 %, suggesting its usefulness to improve maize resistance to GLS.

Keywords

Cleave Amplify Polymorphic Sequence Susceptible Parent Total Phenotypic Variation Gray Leaf Spot Additive Gene Action 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

We are grateful to Mr. Kun Wang, Shiqiang Li, and Fuyan Jiang and Miss Haiyan Li from Yunnan Academy of Agricultural Sciences for their technical assistance in the experimental field. We greatly appreciate the efforts of Prof. Siquan Shao, Xinyi Pang and Bihua Huang from Baoshan and Dehong Institute of Agricultural Sciences for their help in symptom diagnose in the field. This study was financially supported by the national ‘973’ basic research program; the national ‘863’ high-tech program of China; and the ‘outstanding PhD thesis foundation’ of Beijing municipal authorities.

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Yan Zhang
    • 1
  • Ling Xu
    • 1
  • Xingming Fan
    • 2
  • Jing Tan
    • 2
  • Wei Chen
    • 2
  • Mingliang Xu
    • 1
  1. 1.National Maize Improvement Center of ChinaChina Agricultural UniversityBeijingPeople’s Republic of China
  2. 2.Institute of Food CropsYunnan Academy of Agricultural SciencesKunmingPeople’s Republic of China

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