Institut für Mikrobiologie & Biotechnologie, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
Mol Ecol Resour. 2023 Nov;23(8):1930-1945. doi: 10.1111/1755-0998.13848. Epub 2023 Jul 29.
The global sulphur cycle has implications for human health, climate change, biogeochemistry and bioremediation. The organosulphur compounds that participate in this cycle not only represent a vast reservoir of sulphur but are also used by prokaryotes as sources of energy and/or carbon. Closely linked to the inorganic sulphur cycle, it involves the interaction of prokaryotes, eukaryotes and chemical processes. However, ecological and evolutionary studies of the conversion of organic sulphur compounds are hampered by the poor conservation of the relevant pathways and their variation even within strains of the same species. In addition, several proteins involved in the conversion of sulphonated compounds are related to proteins involved in sulphur dissimilation or turnover of other compounds. Therefore, the enzymes involved in the metabolism of organic sulphur compounds are usually not correctly annotated in public databases. To address this challenge, we have developed HMSS2, a profiled Hidden Markov Model-based tool for rapid annotation and synteny analysis of organic and inorganic sulphur cycle proteins in prokaryotic genomes. Compared to its previous version (HMS-S-S), HMSS2 includes several new features. HMM-based annotation is now supported by nonhomology criteria and covers the metabolic pathways of important organosulphur compounds, including dimethylsulphoniopropionate, taurine, isethionate, and sulphoquinovose. In addition, the calculation speed has been increased by a factor of four and the available output formats have been extended to include iTol compatible data sets, and customized sequence FASTA files.
全球硫循环对人类健康、气候变化、生物地球化学和生物修复都有影响。参与这一循环的有机硫化合物不仅代表了大量的硫储备,而且还被原核生物用作能源和/或碳的来源。它与无机硫循环密切相关,涉及原核生物、真核生物和化学过程的相互作用。然而,由于相关途径的保守性差,以及同一物种的菌株之间甚至存在差异,因此有机硫化合物转化的生态和进化研究受到阻碍。此外,参与磺化化合物转化的几种蛋白质与涉及硫异化或其他化合物周转的蛋白质有关。因此,参与有机硫化合物代谢的酶通常在公共数据库中没有正确注释。为了解决这一挑战,我们开发了 HMSS2,这是一种基于轮廓 Hidden Markov Model 的工具,用于快速注释和对原核基因组中有机和无机硫循环蛋白进行同线性分析。与之前的版本 (HMS-S-S) 相比,HMSS2 包括几个新功能。基于 HMM 的注释现在得到了非同源性标准的支持,并涵盖了重要有机硫化合物的代谢途径,包括二甲基亚砜丙酸盐、牛磺酸、异丁酸盐和硫酸奎诺糖。此外,计算速度提高了四倍,可用的输出格式扩展到包括 iTol 兼容数据集和自定义序列 FASTA 文件。