FEMS microbiology reviews最新文献_第7页

Bacteriophage-host interactions in Streptococcus thermophilus and their impact on co-evolutionary processes. 嗜热链球菌中噬菌体-宿主相互作用及其对共同进化过程的影响。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad032

Katherine Lavelle, Brian McDonnell, Gerald Fitzgerald, Douwe van Sinderen, Jennifer Mahony

引用次数: 1

The never-ending battle between lactic acid bacteria and their phages. 乳酸菌和噬菌体之间永无休止的战斗。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad035

Cécile Philippe, Jeffrey K Cornuault, Alessandra G de Melo, Rachel Morin-Pelchat, Alice P Jolicoeur, Sylvain Moineau

引用次数: 1

Anti-infective activities of long-chain fatty acids against foodborne pathogens. 长链脂肪酸对食源性致病菌的抗感染活性。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad037

Caroline Borreby, Eva Maria Sternkopf Lillebæk, Birgitte H Kallipolitis

引用次数: 0

Crosstalk between gut microbiota and RNA N6-methyladenosine modification in cancer. 癌症中肠道微生物群与RNA n6 -甲基腺苷修饰之间的串扰。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad036

Hao Su, Henley Cheung, Harry Cheuk-Hay Lau, Hongyan Chen, Xiaoting Zhang, Na Qin, Yifei Wang, Matthew Tak Vai Chan, William Ka Kei Wu, Huarong Chen

引用次数: 0

Quorum sensing architecture network in Escherichia coli virulence and pathogenesis. 群体感应结构网络在大肠杆菌毒力和发病机制中的作用。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad031

Celia Mayer, Anabela Borges, Saskia-Camille Flament-Simon, Manuel Simões

{"title":"Quorum sensing architecture network in Escherichia coli virulence and pathogenesis.","authors":"Celia Mayer, Anabela Borges, Saskia-Camille Flament-Simon, Manuel Simões","doi":"10.1093/femsre/fuad031","DOIUrl":"https://doi.org/10.1093/femsre/fuad031","url":null,"abstract":"Escherichia coli is a Gram-negative commensal bacterium of the normal microbiota of humans and animals. However, several E. coli strains are opportunistic pathogens responsible for severe bacterial infections, including gastrointestinal and urinary tract infections. Due to the emergence of multidrug-resistant serotypes that can cause a wide spectrum of diseases, E. coli is considered one of the most troublesome human pathogens worldwide. Therefore, a more thorough understanding of its virulence control mechanisms is essential for the development of new anti-pathogenic strategies. Numerous bacteria rely on a cell density-dependent communication system known as quorum sensing (QS) to regulate several bacterial functions, including the expression of virulence factors. The QS systems described for E. coli include the orphan SdiA regulator, an autoinducer-2 (AI-2), an autoinducer-3 (AI-3) system, and indole, which allow E. coli to establish different communication processes to sense and respond to the surrounding environment. This review aims to summarise the current knowledge of the global QS network in E. coli and its influence on virulence and pathogenesis. This understanding will help to improve anti-virulence strategies with the E. coli QS network in focus.","PeriodicalId":12201,"journal":{"name":"FEMS microbiology reviews","volume":"47 4","pages":""},"PeriodicalIF":11.3,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9800219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Correction to: four billion years of microbial terpenome evolution. 修正为:40亿年的微生物萜烯素进化。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad027

引用次数: 0

Editorial 14th international symposium on lactic acid bacteria (LAB14). 第十四届乳酸菌国际学术研讨会(LAB14)。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad043

Eddy J Smid, Sarah Lebeer, Egon B Hansen

引用次数: 0

From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry. 从基因型到表型：推断与食品工业相关的微生物特征的计算方法。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad030

Signe T Karlsen, Martin H Rau, Benjamín J Sánchez, Kristian Jensen, Ahmad A Zeidan

{"title":"From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry.","authors":"Signe T Karlsen, Martin H Rau, Benjamín J Sánchez, Kristian Jensen, Ahmad A Zeidan","doi":"10.1093/femsre/fuad030","DOIUrl":"10.1093/femsre/fuad030","url":null,"abstract":"When selecting microbial strains for the production of fermented foods, various microbial phenotypes need to be taken into account to achieve target product characteristics, such as biosafety, flavor, texture, and health-promoting effects. Through continuous advances in sequencing technologies, microbial whole-genome sequences of increasing quality can now be obtained both cheaper and faster, which increases the relevance of genome-based characterization of microbial phenotypes. Prediction of microbial phenotypes from genome sequences makes it possible to quickly screen large strain collections in silico to identify candidates with desirable traits. Several microbial phenotypes relevant to the production of fermented foods can be predicted using knowledge-based approaches, leveraging our existing understanding of the genetic and molecular mechanisms underlying those phenotypes. In the absence of this knowledge, data-driven approaches can be applied to estimate genotype-phenotype relationships based on large experimental datasets. Here, we review computational methods that implement knowledge- and data-driven approaches for phenotype prediction, as well as methods that combine elements from both approaches. Furthermore, we provide examples of how these methods have been applied in industrial biotechnology, with special focus on the fermented food industry.","PeriodicalId":12201,"journal":{"name":"FEMS microbiology reviews","volume":"47 4","pages":""},"PeriodicalIF":11.3,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/69/bd/fuad030.PMC10337747.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9799218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Have genetic targets for faecal pollution diagnostics and source tracking revolutionized water quality analysis yet? 用于粪便污染诊断和污染源追踪的基因靶标是否已经彻底改变了水质分析？

IF 10.1 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad028

Katalin Demeter, Rita Linke, Elisenda Ballesté, Georg Reischer, René E Mayer, Julia Vierheilig, Claudia Kolm, Margaret E Stevenson, Julia Derx, Alexander K T Kirschner, Regina Sommer, Orin C Shanks, Anicet R Blanch, Joan B Rose, Warish Ahmed, Andreas H Farnleitner

{"title":"Have genetic targets for faecal pollution diagnostics and source tracking revolutionized water quality analysis yet?","authors":"Katalin Demeter, Rita Linke, Elisenda Ballesté, Georg Reischer, René E Mayer, Julia Vierheilig, Claudia Kolm, Margaret E Stevenson, Julia Derx, Alexander K T Kirschner, Regina Sommer, Orin C Shanks, Anicet R Blanch, Joan B Rose, Warish Ahmed, Andreas H Farnleitner","doi":"10.1093/femsre/fuad028","DOIUrl":"10.1093/femsre/fuad028","url":null,"abstract":"The impacts of nucleic acid-based methods - such as PCR and sequencing - to detect and analyze indicators, genetic markers or molecular signatures of microbial faecal pollution in health-related water quality research were assessed by rigorous literature analysis. A wide range of application areas and study designs has been identified since the first application more than 30 years ago (>1100 publications). Given the consistency of methods and assessment types, we suggest defining this emerging part of science as a new discipline: genetic faecal pollution diagnostics (GFPD) in health-related microbial water quality analysis. Undoubtedly, GFPD has already revolutionized faecal pollution detection (i.e., traditional or alternative general faecal indicator/marker analysis) and microbial source tracking (i.e., host-associated faecal indicator/marker analysis), the current core applications. GFPD is also expanding to many other research areas, including infection and health risk assessment, evaluation of microbial water treatment, and support of wastewater surveillance. In addition, storage of DNA extracts allows for biobanking, which opens up new perspectives. The tools of GFPD can be combined with cultivation-based standardized faecal indicator enumeration, pathogen detection, and various environmental data types, in an integrated data analysis approach. This comprehensive meta-analysis provides the scientific status quo of this field, including trend analyses and literature statistics, outlining identified application areas, and discusses the benefits and challenges of nucleic acid-based analysis in GFPD.","PeriodicalId":12201,"journal":{"name":"FEMS microbiology reviews","volume":"47 4","pages":""},"PeriodicalIF":10.1,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368376/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9864034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: RTX proteins: A highly diverse family secreted by a common mechanism. 修正:RTX蛋白:一个由共同机制分泌的高度多样化的家族。

IF 11.3 2区生物学

FEMS microbiology reviews Pub Date : 2023-07-05 DOI: 10.1093/femsre/fuad024

引用次数: 0