Dr. XIE Qi’s group in the Institute of Genetics and Developmental Biology (IGDB), Chinese Academy of Sciences, recently reported that ABA inhibits floral transition by activating FLOWERING LOCUS C (FLC) transcription through ABSCISIC ACID-INSENSITIVE 4 (ABI4) with solid evidences including genetics, molecular biology, plant physiology and biochemical data. Consequently, ABI4 also is the second identified gene regulating plant floral transition in ABA signaling pathway, after ABI5.
 
Firstly, the researchers demonstrated that the 
abi4 mutant showed the early flowering phenotype whereas the 
ABI4-overexpressing
 (OE-ABI4) plant delayed floral transition. Consistently, qRT-PCR assay revealed that the 
FLCtranscription level was downregulated in 
abi4, but upregulated in 
OE-ABI4. The change of 
FT level was consistent with the pattern of 
FLC expression. Following Chromatin immunoprecipitation qPCR (ChIP-qPCR), Electrophoretic Mobility Shift Assays (EMSA) and tobacco transient expression analysis showed that ABI4 promotes 
FLC expression by directly binding to its promoter.
 
Further, genetic analysis demonstrated that 
OE-ABI4::flc-3 could not alter the 
flc-3 phenotype. 
OE-FLC::abi4 showed a markedly delayed-flowering phenotype, which mimicked 
OE-FLC::WT, and suggested that 
ABI4 acts upstream on 
FLC in the same genetic pathway.
 
 
The study entitled “ABSCISIC ACID-INSENSITIVE 4 negatively regulates flowering through directly promoting 
Arabidopsis FLOWERING LOCUS Ctranscription” has been published online in 
Journal of Experimental Botany (
DOI: 10.1093/jxb/erv459).
 
Dr. SHU Kai, associate professor of Sichuan Agricultural University, and CHEN Qian, Ph. D student of IGDB are the co-first authors. This work was supported by grants from The Ministry of Science and Technology of China and the National Natural Science Foundation of China.
 
Figure. A proposed working model in which ABA inhibits floral transition through activating FLC transcription by ABI4 and ABI5. (Image by IGDB)
 
CONTACT
Dr. XIE Qi
Email: qxie@genetics.ac.cn