Prediction of protein structural changes mediated by NS-SNPs in antibiotic resistance determinants in Streptococcus pneumoniae

IF 2.6 3区 生物学 Q3 MICROBIOLOGY
Wenjia Liu, Xin Rao
{"title":"Prediction of protein structural changes mediated by NS-SNPs in antibiotic resistance determinants in Streptococcus pneumoniae","authors":"Wenjia Liu,&nbsp;Xin Rao","doi":"10.1007/s00203-025-04444-7","DOIUrl":null,"url":null,"abstract":"<div><p><i>Streptococcus pneumoniae</i> (<i>S. pneumoniae</i>) is a gram-positive bacterium, which is a human pathogen that colonises the human nasopharyngeal region. The evolution of its resistance to many antibiotics has become a major clinical and public health problem. In a study of <i>S. pneumoniae</i>, it was found that resistant strains contained more non-synonymous single nucleotide polymorphisms (NS-SNPs) than sensitive strains. These findings motivate us to further understand the role of NS-SNP mutation in bacterial drug-resistance and how it mediates the development of <i>S. pneumoniae</i> drug-resistance. NS-SNP is a molecular genetic marker that has been widely used in the field of disease and microbial drug-resistance. However, few studies have analyzed the characteristics and related mechanisms of microbial drug-resistance through the effect of NS-SNP mutation on protein conformation and function. Therefore, based on NS-SNP mutation, this study predicted the homologous resistance proteins related to <i>S. pneumoniae</i> and explored the resistance mechanism of homologous proteins mediated by NS-SNP mutation. SNP identification was first implemented by using MUMmer 3 software for whole-genome sequence alignment. The self-designed Fast Feature Selection (FFS) and Codon Mutation Detection (CMD) machine learning algorithms were used for feature extraction and NS-SNPs detection, respectively, ten NS-SNPs mutations were finally selected. The protein/homologous protein structure was predicted and evaluated by ab initio method and Swiss-Model server. Subsequently, Molecular Operating Environment (MOE) software was used to compare protein structure and superposition. Finally, the impact of NS-SNPs on the electrostatic surface of proteins was also evaluated by PyMOL software. This study found that three NS-SNPs mutation-mediated homologous proteins were closely related to drug-resistance of <i>S. pneumoniae</i>, namely NS-SNPs (ID 247805, 817989) mutations-mediated antibiotic resistant ABCF (ARE-ABCF) transporter, and NS-SNP (ID 1101585) mutation-mediated NorM protein promoting antibiotic resistance of <i>S. pneumoniae</i>. Moreover, the resistance might be caused by the difference in electrostatic potential energy resulting from the NS-SNP mutations. This suggests that changes in the electrostatic environment might affect antibiotic binding affinity, revealing a novel mechanism of bacterial drug resistance. Furthermore, this study also provides information on the antibiotic resistance of <i>S. pneumoniae</i>, laying the foundation for its clinical research, diagnosis and medication to treat bacterial infections.</p></div>","PeriodicalId":8279,"journal":{"name":"Archives of Microbiology","volume":"207 10","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Microbiology","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s00203-025-04444-7","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Streptococcus pneumoniae (S. pneumoniae) is a gram-positive bacterium, which is a human pathogen that colonises the human nasopharyngeal region. The evolution of its resistance to many antibiotics has become a major clinical and public health problem. In a study of S. pneumoniae, it was found that resistant strains contained more non-synonymous single nucleotide polymorphisms (NS-SNPs) than sensitive strains. These findings motivate us to further understand the role of NS-SNP mutation in bacterial drug-resistance and how it mediates the development of S. pneumoniae drug-resistance. NS-SNP is a molecular genetic marker that has been widely used in the field of disease and microbial drug-resistance. However, few studies have analyzed the characteristics and related mechanisms of microbial drug-resistance through the effect of NS-SNP mutation on protein conformation and function. Therefore, based on NS-SNP mutation, this study predicted the homologous resistance proteins related to S. pneumoniae and explored the resistance mechanism of homologous proteins mediated by NS-SNP mutation. SNP identification was first implemented by using MUMmer 3 software for whole-genome sequence alignment. The self-designed Fast Feature Selection (FFS) and Codon Mutation Detection (CMD) machine learning algorithms were used for feature extraction and NS-SNPs detection, respectively, ten NS-SNPs mutations were finally selected. The protein/homologous protein structure was predicted and evaluated by ab initio method and Swiss-Model server. Subsequently, Molecular Operating Environment (MOE) software was used to compare protein structure and superposition. Finally, the impact of NS-SNPs on the electrostatic surface of proteins was also evaluated by PyMOL software. This study found that three NS-SNPs mutation-mediated homologous proteins were closely related to drug-resistance of S. pneumoniae, namely NS-SNPs (ID 247805, 817989) mutations-mediated antibiotic resistant ABCF (ARE-ABCF) transporter, and NS-SNP (ID 1101585) mutation-mediated NorM protein promoting antibiotic resistance of S. pneumoniae. Moreover, the resistance might be caused by the difference in electrostatic potential energy resulting from the NS-SNP mutations. This suggests that changes in the electrostatic environment might affect antibiotic binding affinity, revealing a novel mechanism of bacterial drug resistance. Furthermore, this study also provides information on the antibiotic resistance of S. pneumoniae, laying the foundation for its clinical research, diagnosis and medication to treat bacterial infections.

Abstract Image

Abstract Image

肺炎链球菌耐药决定因素中ns - snp介导的蛋白结构变化预测
肺炎链球菌(S. pneumoniae)是一种革兰氏阳性细菌,是一种人类病原体,定植在人鼻咽区。它对许多抗生素的耐药性演变已成为一个重大的临床和公共卫生问题。在一项肺炎链球菌的研究中,发现耐药菌株比敏感菌株含有更多的非同义单核苷酸多态性(NS-SNPs)。这些发现促使我们进一步了解NS-SNP突变在细菌耐药中的作用以及它如何介导肺炎链球菌耐药的发展。NS-SNP是一种广泛应用于疾病和微生物耐药领域的分子遗传标记。然而,很少有研究通过NS-SNP突变对蛋白质构象和功能的影响来分析微生物耐药的特点及相关机制。因此,本研究基于NS-SNP突变,预测肺炎链球菌相关的同源耐药蛋白,探讨NS-SNP突变介导的同源蛋白耐药机制。SNP鉴定首先通过使用MUMmer 3软件进行全基因组序列比对。采用自主设计的快速特征选择(Fast Feature Selection, FFS)和密码子突变检测(Codon Mutation Detection, CMD)机器学习算法分别进行特征提取和ns - snp检测,最终筛选出10个ns - snp突变。采用从头算法和Swiss-Model server对蛋白/同源蛋白结构进行预测和评价。随后,使用分子操作环境(MOE)软件比较蛋白质结构和叠加。最后,利用PyMOL软件评价了ns - snp对蛋白质静电表面的影响。本研究发现3种NS-SNP突变介导的同源蛋白与肺炎链球菌耐药密切相关,分别是NS-SNP (ID 247805, 817989)突变介导的耐药ABCF (ARE-ABCF)转运蛋白和NS-SNP (ID 1101585)突变介导的促进肺炎链球菌耐药的NorM蛋白。此外,NS-SNP突变引起的静电势能差异也可能是造成电阻的原因。这表明静电环境的变化可能影响抗生素的结合亲和力,揭示了细菌耐药的新机制。此外,本研究还提供了肺炎链球菌的抗生素耐药性信息,为其临床研究、诊断和治疗细菌感染的用药奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Archives of Microbiology
Archives of Microbiology 生物-微生物学
CiteScore
4.90
自引率
3.60%
发文量
601
审稿时长
3 months
期刊介绍: Research papers must make a significant and original contribution to microbiology and be of interest to a broad readership. The results of any experimental approach that meets these objectives are welcome, particularly biochemical, molecular genetic, physiological, and/or physical investigations into microbial cells and their interactions with their environments, including their eukaryotic hosts. Mini-reviews in areas of special topical interest and papers on medical microbiology, ecology and systematics, including description of novel taxa, are also published. Theoretical papers and those that report on the analysis or ''mining'' of data are acceptable in principle if new information, interpretations, or hypotheses emerge.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信