J Integr Plant Biol. ›› 2014, Vol. 56 ›› Issue (3): 262-270.DOI: 10.1111/jipb.12168

Special Issue: Plant Signal Transduction

• Research Prospective • Previous Articles     Next Articles

Meta-analysis and candidate gene mining of low-phosphorus tolerance in maize

Hongwei Zhang1, Mohammed Shalim Uddin1,2, Cheng Zou1, Chuanxiao Xie1, Yunbi Xu1,3 and Wen-Xue Li1*   

  1. 1Institute of Crop Science, National Key Facility of Crop Gene Resources and Genetic Improvement, the Chinese Academy of Agricultural Sciences, Beijing, China
    2Bangladesh Agricultural Research Institute (BARI), Gazipur, Bangladesh
    3International Maize and Wheat Improvement Center (CIMMYT), El Batán, Texcoco, Mexico
  • Received:2013-09-23 Accepted:2014-01-08 Published:2014-03-01
  • About author:*Correspondence: E-mail: liwenxue@caas.cn

Abstract:

Plants with tolerance to low-phosphorus (P) can grow better under low-P conditions, and understanding of genetic mechanisms of low-P tolerance can not only facilitate identifying relevant genes but also help to develop low-P tolerant cultivars. QTL meta-analysis was conducted after a comprehensive review of the reports on QTL mapping for low-P tolerance-related traits in maize. Meta-analysis produced 23 consensus QTL (cQTL), 17 of which located in similar chromosome regions to those previously reported to influence root traits. Meanwhile, candidate gene mining yielded 215 genes, 22 of which located in the cQTL regions. These 22 genes are homologous to 14 functionally characterized genes that were found to participate in plant low-P tolerance, including genes encoding miR399s, Pi transporters and purple acid phosphatases. Four cQTL loci (cQTL2-1, cQTL5-3, cQTL6-2, and cQTL10-2) may play important roles for low-P tolerance because each contains more original QTL and has better consistency across previous reports.

Zhang H, Uddin MS, Zou C, Xie C, Xu Y, Li WX (2014) Meta‐analysis and candidate gene mining of low‐phosphorus tolerance in maize. J Integr Plant Biol 56: 262–270. doi: 10.1111/jipb.12168

Key words: Candidate gene, consensus QTL, low-phosphorus tolerance, maize, meta-analysis

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