Suppr超能文献

通过在酿酒酵母中进行功能表达克隆拟南芥中编码ATP硫酸化酶的cDNA。

Cloning of a cDNA encoding ATP sulfurylase from Arabidopsis thaliana by functional expression in Saccharomyces cerevisiae.

作者信息

Leustek T, Murillo M, Cervantes M

机构信息

Center for Agricultural Molecular Biology, Rutgers University, New Brunswick, New Jersey 08903.

出版信息

Plant Physiol. 1994 Jul;105(3):897-902. doi: 10.1104/pp.105.3.897.

Abstract

ATP sulfurylase, the first enzyme in the sulfate assimilation pathway of plants, catalyzes the formation of adenosine phosphosulfate from ATP and sulfate. Here we report the cloning of a cDNA encoding ATP sulfurylase (APS1) from Arabidopsis thaliana. APS1 was isolated by its ability to alleviate the methionine requirement of an ATP sulfurylase mutant strain of Saccharomyces cerevisiae (yeast). Expression of APS1 correlated with the presence of ATP sulfurylase enzyme activity in cell extracts. APS1 is a 1748-bp cDNA with an open reading frame predicted to encode a 463-amino acid, 51,372-D protein. The predicted amino acid sequence of APS1 is similar to ATP sulfurylase of S. cerevisiae, with which it is 25% identical. Two lines of evidence indicate that APS1 encodes a chloroplast form of ATP sulfurylase. Its predicted amino-terminal sequence resembles a chloroplast transit peptide; and the APS1 polypeptide, synthesized in vitro, is capable of entering isolated intact chloroplasts. Several genomic DNA fragments that hybridize with the APS1 probe were identified. The APS1 cDNA hybridizes to three species of mRNA in leaves (1.85, 1.60, and 1.20 kb) and to a single species of mRNA in roots (1.85 kb).

摘要

ATP硫酸化酶是植物硫酸盐同化途径中的首个酶,催化由ATP和硫酸盐形成腺苷磷酸硫酸。在此,我们报道了从拟南芥中克隆编码ATP硫酸化酶(APS1)的cDNA。通过其缓解酿酒酵母(酵母)ATP硫酸化酶突变株对甲硫氨酸需求的能力分离出APS1。APS1的表达与细胞提取物中ATP硫酸化酶活性的存在相关。APS1是一个1748bp的cDNA,其开放阅读框预测编码一个463个氨基酸、51372道尔顿的蛋白质。APS1预测的氨基酸序列与酿酒酵母的ATP硫酸化酶相似,二者有25%的同源性。有两条证据表明APS1编码叶绿体形式的ATP硫酸化酶。其预测的氨基末端序列类似于叶绿体转运肽;并且体外合成的APS1多肽能够进入分离的完整叶绿体。鉴定出了几个与APS1探针杂交的基因组DNA片段。APS1 cDNA与叶片中的三种mRNA(1.85、1.60和1.20kb)以及根中的一种mRNA(1.85kb)杂交。

相似文献

引用本文的文献

7
Recognizing ion ligand binding sites by SMO algorithm.通过 SMO 算法识别离子配体结合位点。
BMC Mol Cell Biol. 2019 Dec 11;20(Suppl 3):53. doi: 10.1186/s12860-019-0237-9.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验