POWERDRESS and diversified expression of the MIR172 gene family bolster the floral stem cell network

Autor: Yun Ju Kim, Rae Eden Yumul, Ruozhong Wang, Xuemei Chen, Junhui Ding, Xigang Liu, Langtao Xiao
Přispěvatelé: Copenhaver, Gregory P
Jazyk: angličtina
Rok vydání: 2013
Předmět:
AGAMOUS Protein
0106 biological sciences
Cancer Research
lcsh:QH426-470
Meristem
Arabidopsis
Flowers
01 natural sciences
AGAMOUS Protein
Arabidopsis

03 medical and health sciences
Gene Expression Regulation
Plant

Genetics
Gene family
Enhancer
Biology
Molecular Biology
Transcription factor
Genetics (clinical)
Ecology
Evolution
Behavior and Systematics

030304 developmental biology
Homeodomain Proteins
Regulation of gene expression
0303 health sciences
biology
Arabidopsis Proteins
Agamous
Stem Cells
fungi
Nuclear Proteins
food and beverages
Promoter
Plant
Stem Cell Research
biology.organism_classification
MicroRNAs
lcsh:Genetics
Gene Expression Regulation
Mutation
Generic health relevance
Transcription Factor Gene
Biotechnology
Research Article
Transcription Factors
Developmental Biology
010606 plant biology & botany
Zdroj: PLoS Genetics, Vol 9, Iss 1, p e1003218 (2013)
PLoS genetics, vol 9, iss 1
PLoS Genetics
ISSN: 1553-7404
1553-7390
Popis: Termination of the stem cells in the floral meristem (also known as floral determinacy) is critical for the reproductive success of plants, and the molecular activities regulating floral determinacy are precisely orchestrated during the course of floral development. In Arabidopsis thaliana, regulators of floral determinacy include several transcription factor genes, such as APETALA2 (AP2), AGAMOUS (AG), SUPERMAN (SUP), and CRABSCLAW (CRC), as well as a microRNA (miRNA), miR172, which targets AP2. How the transcription factor and miRNA genes are coordinately regulated to achieve floral determinacy is unknown. A mutation in POWERDRESS (PWR), a previously uncharacterized gene encoding a SANT-domain-containing protein, was isolated in this study as an enhancer of the weakly indeterminate ag-10 allele. PWR was found to promote the transcription of CRC, MIR172a, b, and c and/or enhance Pol II occupancy at their promoters, without affecting MIR172d or e. A mutation in mature miR172d was additionally found to enhance the determinacy defects of ag-10 in an AP2-dependent manner, providing direct evidence that miR172d is functional in repressing AP2 and thereby contributes to floral determinacy. Thus, while PWR promotes floral determinacy by enhancing the expression of three of the five MIR172 members as well as CRC, MIR172d, whose expression is PWR-independent, also functions in floral stem cell termination. Taken together, these findings demonstrate how transcriptional diversification and functional redundancy of a miRNA family along with PWR-mediated co-regulation of miRNA and transcription factor genes contribute to the robustness of the floral determinacy network.
Author Summary microRNAs (miRNAs) are 20–24 nucleotide RNAs that play regulatory roles in many developmental processes in plants and animals. Some miRNAs are encoded by multi-member gene families, and the members may exhibit differential expression patterns. However, the basis of this expression diversification and its developmental impact are poorly understood. By studying miR172, which represses its target APETALA2 (AP2) and thereby promotes the determinate growth of flowers (also known as floral determinacy), we show that the five MIR172 genes undergo differential transcriptional regulation. POWERDRESS (PWR), a previously uncharacterized SANT-domain-containing protein, promotes floral determinacy by enhancing the expression of MIR172a-c. MIR172d, whose expression is PWR-independent, was found to be functional in floral determinacy by repressing AP2. PWR also promotes floral determinacy through a transcription factor previously implicated in this process. Thus, transcriptional diversification of a miRNA family and PWR-mediated co-regulation of miRNA and transcription factor genes involved in floral determinacy contribute to the robustness of this developmental network.
Databáze: OpenAIRE