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Mol. Cells 2012; 34(4): 367-374

Published online September 6, 2012

https://doi.org/10.1007/s10059-012-0111-5

© The Korean Society for Molecular and Cellular Biology

Overexpression of a LAM Domain Containing RNA-Binding Protein LARP1c Induces Precocious Leaf Senescence in Arabidopsis

Bangyue Zhang, Jianheng Jia, Min Yang, Chunxia Yan, and Yuzhen Han*

State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China

Correspondence to : *Correspondence: hanyuzhen@cau.edu.cn

Received: April 13, 2012; Revised: July 11, 2012; Accepted: July 26, 2012

Abstract

Leaf senescence is the final stage of leaf life history, and it can be regulated by multiple internal and external cues. La-related proteins (LARPs), which contain a well-con-served La motif (LAM) domain and normally a canonical RNA recognition motif (RRM) or noncanonical RRM-like motif, are widely present in eukaryotes. Six LARP genes (LARP1a-1c and LARP6a-6c) are present in Arabidopsis, but their biological functions have not been studied previously. In this study, we investigated the biological roles of LARP1c from the LARP1 family. Constitutive or inducible overexpression of LARP1c caused premature leaf senescence. Expression levels of several senes-cence-asso-ciated genes and defense-related genes were elevated upon overexpression of LARP1c. The LARP1c null mutant 1c-1 impaired ABA-, SA-, and MeJA-induced leaf senescence in detached leaves. Gene expression profiles of LARP1c showed age-dependent expression in rosette leaves. Taken together, our results suggest LARP1c is involved in regulation of leaf senescence.

Keywords Arabidopsis, LARP1c, senescence, senescence-associated genes

Article

Research Article

Mol. Cells 2012; 34(4): 367-374

Published online October 31, 2012 https://doi.org/10.1007/s10059-012-0111-5

Copyright © The Korean Society for Molecular and Cellular Biology.

Overexpression of a LAM Domain Containing RNA-Binding Protein LARP1c Induces Precocious Leaf Senescence in Arabidopsis

Bangyue Zhang, Jianheng Jia, Min Yang, Chunxia Yan, and Yuzhen Han*

State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China

Correspondence to:*Correspondence: hanyuzhen@cau.edu.cn

Received: April 13, 2012; Revised: July 11, 2012; Accepted: July 26, 2012

Abstract

Leaf senescence is the final stage of leaf life history, and it can be regulated by multiple internal and external cues. La-related proteins (LARPs), which contain a well-con-served La motif (LAM) domain and normally a canonical RNA recognition motif (RRM) or noncanonical RRM-like motif, are widely present in eukaryotes. Six LARP genes (LARP1a-1c and LARP6a-6c) are present in Arabidopsis, but their biological functions have not been studied previously. In this study, we investigated the biological roles of LARP1c from the LARP1 family. Constitutive or inducible overexpression of LARP1c caused premature leaf senescence. Expression levels of several senes-cence-asso-ciated genes and defense-related genes were elevated upon overexpression of LARP1c. The LARP1c null mutant 1c-1 impaired ABA-, SA-, and MeJA-induced leaf senescence in detached leaves. Gene expression profiles of LARP1c showed age-dependent expression in rosette leaves. Taken together, our results suggest LARP1c is involved in regulation of leaf senescence.

Keywords: Arabidopsis, LARP1c, senescence, senescence-associated genes

Mol. Cells
Feb 28, 2023 Vol.46 No.2, pp. 69~129
COVER PICTURE
The bulk tissue is a heterogeneous mixture of various cell types, which is depicted as a skein of intertwined threads with diverse colors each of which represents a unique cell type. Single-cell omics analysis untangles efficiently the skein according to the color by providing information of molecules at individual cells and interpretation of such information based on different cell types. The molecules that can be profiled at the individual cell by single-cell omics analysis includes DNA (bottom middle), RNA (bottom right), and protein (bottom left). This special issue reviews single-cell technologies and computational methods that have been developed for the single-cell omics analysis and how they have been applied to improve our understanding of the underlying mechanisms of biological and pathological phenomena at the single-cell level.

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