Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (8): 1245-1256.DOI: 10.1016/S1671-2927(00)8653

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Genome-Wide Transcriptional Analysis of Yield and Heterosis-Associated Genes in Maize (Zea mays L.)

 ZHANG Ti-fu, LI Bo, ZHANG Deng-feng, JIA Guan-qing, LI Zhi-yong WANG Shou-cai   

  1. National Maize Improvement Center/Maize Breeding Engineering Center, Ministry of Education/Key Laboratory of Crop Genomics and Genetic Improvement, Ministry of Agriculture/College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, P.R.China
  • 收稿日期:2011-04-28 出版日期:2012-08-01 发布日期:2012-09-09
  • 通讯作者: Correspondence WANG Shou-cai, Tel/Fax: +86-10-62732409, E-mail: wangshoucai678@sina.com
  • 基金资助:

    This work was supported by the National Basic Research Program of China (2007CB109000 and 2009CB118400).

Genome-Wide Transcriptional Analysis of Yield and Heterosis-Associated Genes in Maize (Zea mays L.)

 ZHANG Ti-fu, LI Bo, ZHANG Deng-feng, JIA Guan-qing, LI Zhi-yong,  WANG Shou-cai   

  1. National Maize Improvement Center/Maize Breeding Engineering Center, Ministry of Education/Key Laboratory of Crop Genomics and Genetic Improvement, Ministry of Agriculture/College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, P.R.China
  • Received:2011-04-28 Online:2012-08-01 Published:2012-09-09
  • Contact: Correspondence WANG Shou-cai, Tel/Fax: +86-10-62732409, E-mail: wangshoucai678@sina.com
  • Supported by:

    This work was supported by the National Basic Research Program of China (2007CB109000 and 2009CB118400).

摘要: Heterosis has contributed greatly to yield in maize, but the nature of its contribution is not completely clear. In this study, two strategies using whole-genome oligonucleotide microarrays were employed to identify differentially expressed genes (DEGs) associated with heterosis and yield. The analysis revealed 1 838 heterosis-associated genes (HAGs), 265 yieldassociated genes (YAGs), and 85 yield heterosis-associated genes (YHAGs). 37.1% of HAGs and 22.4% of YHAGs expressed additively. The remaining genes expressed non-additively, including those with high/low-parent dominance and over/under dominance, which were prevalent in this research. Pathway enrichment analysis and quantitative trait locus (QTL) co-mapping demonstrated that the metabolic pathways for energy and carbohydrates were the two main enriched pathways influencing heterosis and yield. Therefore, the DEGs participating in energy and carbohydrate metabolism were considered to contribute to heterosis and yield significantly. The investigation of potential groups of HAGs, YAGs, and YHAGs might provide valuable information for exploiting heterosis to improve yield in maize breeding. In addition, our results support the view that heterosis is contributed by multiple, complex molecular mechanisms.

关键词: microarray, heterosis, yield, QTL, metabolism, maize

Abstract: Heterosis has contributed greatly to yield in maize, but the nature of its contribution is not completely clear. In this study, two strategies using whole-genome oligonucleotide microarrays were employed to identify differentially expressed genes (DEGs) associated with heterosis and yield. The analysis revealed 1 838 heterosis-associated genes (HAGs), 265 yieldassociated genes (YAGs), and 85 yield heterosis-associated genes (YHAGs). 37.1% of HAGs and 22.4% of YHAGs expressed additively. The remaining genes expressed non-additively, including those with high/low-parent dominance and over/under dominance, which were prevalent in this research. Pathway enrichment analysis and quantitative trait locus (QTL) co-mapping demonstrated that the metabolic pathways for energy and carbohydrates were the two main enriched pathways influencing heterosis and yield. Therefore, the DEGs participating in energy and carbohydrate metabolism were considered to contribute to heterosis and yield significantly. The investigation of potential groups of HAGs, YAGs, and YHAGs might provide valuable information for exploiting heterosis to improve yield in maize breeding. In addition, our results support the view that heterosis is contributed by multiple, complex molecular mechanisms.

Key words: microarray, heterosis, yield, QTL, metabolism, maize