New PCR-based sequence-tagged site marker for bacterial blight resistance gene Xa38 of rice
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  • 作者:Hemal Bhasin (1)
    Dharminder Bhatia (1)
    Saurabh Raghuvanshi (2)
    Jagjit S. Lore (3)
    Gurpreet K. Sahi (1)
    Baljit Kaur (1)
    Yogesh Vikal (1)
    Kuldeep Singh (1) kuldeep35@pau.edu
  • 关键词:Oryza sativa – ; Oryza nivara ; Bacterial blight – ; Xa38 – ; STS marker
  • 刊名:Molecular Breeding
  • 出版年:2012
  • 出版时间:June 2012
  • 年:2012
  • 卷:30
  • 期:1
  • 页码:607-611
  • 全文大小:399.2 KB
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  • 作者单位:1. School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004 India2. Department of Plant Molecular Biology, South Campus, University of Delhi, New Delhi, India3. Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India
  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Life Sciences
    Plant Sciences
  • 出版者:Springer Netherlands
  • ISSN:1572-9788
文摘
Bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae, is a major disease of rice managed largely through the deployment of resistance genes. Xa38, a BB resistance gene identified from Oryza nivara acc. IRGC 81825, was mapped on chromosome 4L in a 38.4-kb region. The closely linked markers for this gene, identified earlier, were simple sequence repeat marker RM17499 and sequence-tagged site markers developed from loci Os04g53060 and Os04g53120. Marker Os04g53060 is dominant while the other two markers show smaller size differences difficult to resolve accurately on agarose gel. Based on gene annotation, three nucleotide binding site–leucine-rich repeat genes present in the target region were cloned from O. nivara and sequenced. One of the loci, LOC_Os04g53050, had a 48-base-pair deletion in O. nivara acc. IRGC 81825 compared to the cultivated rice. Primers were designed around the deletion and the resulting marker is codominant and easy to score in agarose gel. The newly designed marker co-segregated with Xa38, amplifying products of 269 bp in O. nivara and 317 bp in cultivated rice. This marker could be more useful for marker-assisted selection than ones reported earlier.

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