Transcriptome profiling of peanut (Arachis hypogaea) gynophores in gravitropic response
Hai-fen Li A , Xiao-Ping Chen A B , Fang-he Zhu A , Hai-Yan Liu A , Yan-Bin Hong A and Xuan-Qiang Liang A B
+ Author Affiliations
- Author Affiliations
A Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
B Corresponding authors. Emails: xpchen1011@gmail.com; liang-804@163.com
This paper originates from a presentation at the ‘VI International Conference on Legume Genetics and Genomics (ICLGG)’ Hyderabad, India, 2–7 October 2012.
Functional Plant Biology 40(12) 1249-1260 https://doi.org/10.1071/FP13075
Submitted: 29 March 2013 Accepted: 18 July 2013 Published: 21 August 2013
Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND
Abstract
Peanut (Arachis hypogaea L.) produces flowers aerially, but the fruit develops underground. This process is mediated by the gynophore, which always grows vertically downwards. The genetic basis underlying gravitropic bending of gynophores is not well understood. To identify genes related to gynophore gravitropism, gene expression profiles of gynophores cultured in vitro with tip pointing upward (gravitropic stimulation sample) and downward (control) at both 6 and 12 h were compared through a high-density peanut microarray. After gravitropic stimulation, there were 174 differentially expressed genes, including 91 upregulated and 83 downregulated genes at 6 h, and 491 differentially expressed genes including 129 upregulated and 362 downregulated genes at 12 h. The differentially expressed genes identified were assigned to 24 functional categories. Twenty pathways including carbon fixation, aminoacyl-tRNA biosynthesis, pentose phosphate pathway, starch and sucrose metabolism were identified. The quantitative real-time PCR analysis was performed for validation of microarray results. Our study paves the way to better understand the molecular mechanisms underlying the peanut gynophore gravitropism.
Additional keywords: gravitropism, peanut gynophore, transcriptome profiling.
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