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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Molecular cloning and functional characterization of two apple S-adenosylmethionine decarboxylase genes and their different expression in fruit development, cell growth and stress responses
Gene, Volume 350, No. 1, Year 2005
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Description
Two full-length S-adenosylmethionine decarboxylase (SAMDC) cDNAs, MdSAMDC1 and MdSAMDC2, were isolated from apple [Malus sylvestris (L.) Mill. var. domestica (Borkh.) Mansf.]. Both cDNAs encoded tiny and small ORFs in addition to the SAMDC ORFs, and genomic sequences of MdSAMDC1 and MdSAMDC2 contained two or three introns in the 5′ upstream regions, respectively. Yeast complementation experiment indicated that two MdSAMDCs encoded functional proteins, and that the tiny and small ORFs possibly repressed their translation efficiency. RNA gel blot analysis showed that MdSAMDC1 were differentially regulated in fruits depending on the developmental stage and in cell suspension during the culture period, but MdSAMDC2 did not. In contrast, MdSAMDC2 was positively induced by cold and salt stresses, but MdSAMDC1 was not. These results suggest that MdSAMDC1 is mainly involved in fruit development and cell growth while MdSAMDC2 in stress responses, compared with their respective counterpart. © 2005 Elsevier B.V. All rights reserved.
Authors & Co-Authors
Hao, Yu Jin
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
China, Tai'an
Shandong Agricultural University
Zhang, Zilian
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Kitashiba, Hiroyasu
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Honda, Chikako
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Ubi, Benjamin Ewa
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Nigeria, Calabar
University of Calabar
Kita, Masayuki
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Moriguchi, Takaya
Japan, Tsukuba
Institute of Fruit Tree and Tea Science, Naro
Statistics
Citations: 46
Authors: 7
Affiliations: 3
Identifiers
Doi:
10.1016/j.gene.2005.01.004
ISSN:
03781119
Study Approach
Quantitative