A combinatorial approach to the structure elucidation of a pyoverdine siderophore produced by a Pseudomonas putida isolate and the use of pyoverdine as a taxonomic marker for typing P. putida subspecies
A combinatorial approach to the structure elucidation of a pyoverdine siderophore produced by a Pseudomonas putida isolate and the use of pyoverdine as a taxonomic marker for typing P. putida subspecies
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组合方法阐明由恶臭假单胞菌分离物产生的吡弗丁铁载体的结构以及使用吡弗丁作为恶臭假单胞菌亚种分型的分类标记
DOI：
10.1007/s10534-013-9653-z
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发表时间：
2013
期刊：
影响因子：
3.5
通讯作者：
P. Cornelis
中科院分区：
文献类型：
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作者：
Lumeng Ye;S. Ballet;F. Hildebrand;G. Laus;Karel Guillemyn;J. Raes;S. Matthijs;J. Martins;P. Cornelis
通过结合质谱方法和生物信息学，通过分析新测序的基因组中存在的非核糖体肽合成酶基因，阐明了由恶臭假单胞菌W15 Oct 28产生的绿脓菌荧光素的结构。由恶臭假单胞菌W15 Oct 28产生的唯一形式的绿脓菌荧光素的特征在于含有α-酮基谷氨酸作为酰基侧链、二氢绿脓菌荧光素发色团和12个氨基酸的肽链。该肽链在假单胞菌亚种菌株产生的所有绿脓菌荧光素中是独特的。其被表征为-l-Asp-l-Ala-d-AOHOrn-l-Thr-Gly-c[l-Thr（O-）-l-Hse-d-Hya-l-Ser-l-Orn-l-Hse-l-Ser-O-]。该绿脓菌荧光素的化学式及检测和计算的分子量为：C65 H93 N17 O32，检测质量1624.6404 Da，计算质量1624.6245。此外，总结了来自文献报道和基因组测序的恶臭假单胞菌菌株的生物信息学预测的绿脓菌荧光素结构，使我们能够提出基于绿脓菌荧光素结构作为恶臭假单胞菌繁殖工具的方案。本研究显示了计算机分析与分析数据和文献挖掘相结合在确定次级代谢产物（如肽铁载体）结构方面的优势。
The structure of a pyoverdine produced by Pseudomonas putida, W15Oct28, was elucidated by combining mass spectrometric methods and bioinformatics by the analysis of non-ribosomal peptide synthetase genes present in the newly sequenced genome. The only form of pyoverdine produced by P. putida W15Oct28 is characterized to contain α-ketoglutaric acid as acyl side chain, a dihydropyoverdine chromophore, and a 12 amino acid peptide chain. The peptide chain is unique among all pyoverdines produced by Pseudomonas subspecies strains. It was characterized as –l-Asp-l-Ala-d-AOHOrn-l-Thr-Gly-c[l-Thr(O-)-l-Hse-d-Hya-l-Ser-l-Orn-l-Hse-l-Ser-O-]. The chemical formula and the detected and calculated molecular weight of this pyoverdine are: C65H93N17O32, detected mass 1624.6404 Da, calculated mass 1624.6245. Additionally, pyoverdine structures from both literature reports and bioinformatics prediction of the genome sequenced P. putida strains are summarized allowing us to propose a scheme based on pyoverdines structures as tool for the phylogeny of P. putida. This study shows the strength of the combination of in silico analysis together with analytical data and literature mining in determining the structure of secondary metabolites such as peptidic siderophores.
影响因子：
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作者：
Challis, GL;Ravel, J;Townsend, CA
通讯作者：
Townsend, CA