Canadian journal of microbiology最新文献_第5页

Correction: Characterization and whole-genome sequencing of an extreme arsenic tolerant Citrobacter freundii SRS1 strain isolated from Savar area in Bangladesh. 更正：从孟加拉国Savar地区分离的一种极端耐砷弗氏柠檬酸杆菌SRS1菌株的鉴定和全基因组测序。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 Epub Date: 2024-12-17 DOI: 10.1139/cjm-2024-0195

Mohammed Jafar Uddin, Farhana Haque, Ishrat Jabeen, Sabbir R Shuvo

引用次数: 0

Candida albicans: a historical overview of investigations into an important human pathogen. 白色念珠菌：一种重要的人类病原体调查的历史概况。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2025-0036

Manjari Shrivastava, Malcolm Whiteway

{"title":"Candida albicans: a historical overview of investigations into an important human pathogen.","authors":"Manjari Shrivastava, Malcolm Whiteway","doi":"10.1139/cjm-2025-0036","DOIUrl":"10.1139/cjm-2025-0036","url":null,"abstract":"In recent decades, the study of the opportunistic pathogenic fungus, Candida albicans, has been revolutionized by genomics, transforming our understanding of its molecular biology, pathogenicity, and modes of drug resistance. In this review, our effort is to trace the historical development of C. albicans research, from early clinical observations to modern high-throughput genomic techniques. Advances in molecular biology, transcriptomics, and genome editing, including CRISPR-Cas9, have had a significant impact on the genetic tools available for studying this pathogen. The impact of whole-genome sequencing, functional genomics, and single-cell transcriptomics on the study of C. albicans, alongside the role of fungal population genomics in tracking evolutionary adaptations, have resulted in key insights. Here we discuss the ongoing challenge of antifungal resistance and the implications of new technologies in combating invasive candidiasis. As we move into a new era of precision mycology, integrating multi-omics approaches will further enhance our ability to understand and control C. albicans infections.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":"71 ","pages":"1-21"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Machine learning methods to identify markers and predict antimicrobial resistance in Escherichia coli. 机器学习方法在大肠杆菌中识别标记物和预测抗菌素耐药性。

IF 1.6 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2024-0208

Janice Moat, Athanasios Zovoilis, Rylan Steinkey, Rahat Zaheer, Tim McAllister, Chad Laing

{"title":"Machine learning methods to identify markers and predict antimicrobial resistance in Escherichia coli.","authors":"Janice Moat, Athanasios Zovoilis, Rylan Steinkey, Rahat Zaheer, Tim McAllister, Chad Laing","doi":"10.1139/cjm-2024-0208","DOIUrl":"10.1139/cjm-2024-0208","url":null,"abstract":"Antimicrobial resistant strains of pathogenic Escherichia coli are a burden on the healthcare system, causing longer hospital stays and increased treatment costs compared to nonresistant strains. With whole genome sequencing almost ubiquitous in the analyses of outbreak and surveillance samples, in silico methods for feature identification can be faster and cheaper than traditional wet-lab methods. In this study, machine learning (ML) classification methods were used to predict antimicrobial resistance (AMR) and identify novel genomic markers of resistance. A total of 4300 E. coli whole genome sequences with laboratory-derived susceptible, intermediate, or resistant (SIR) data for 34 antimicrobials were collected. Three models-gradient boosted decision trees, support vector machines (SVMs), and artificial neural networks (ANNs)-were trained using genome subsequences (k-mers) of length 11 to classify unknown isolates as SIR for each antimicrobial. The models achieved high average accuracies (93.6%, 92.7%, and 92.8%, respectively) for our dataset, outperforming database methods including AMRFinderPlus (63.9%) and ResFinder (75.7%). Tested on two smaller independent datasets, the models' average accuracies were 81.6% (XGB), 79.9% (SVM), and 81.2% (ANN), while ResFinder's average accuracy was 94.7%. An advantage of ML models over database methods is that they can identify novel markers of resistance, which is a key advantage for surveillance and research. As more genomic and AMR data become publicly available, these models are expected to further improve in performance and utility.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-15"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145387055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Development and evaluation of a sensitive approach for detection and recovery of third-generation cephalosporin- and carbapenem-resistant Enterobacterales from ready-to-eat frozen stone fruit. 开发和评估从即食冷冻核果中检测和回收耐第三代头孢菌素和碳青霉烯类肠杆菌的灵敏方法。

IF 1.6 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2024-0210

Adeeb Nasta, Ashley L Cooper, Irelynd V Tackabury, Chloe Anastasiadis, Calvin Ho-Fung Lau, Liam P Brown, Myron L Smith, Sandeep Tamber, Catherine D Carrillo

{"title":"Development and evaluation of a sensitive approach for detection and recovery of third-generation cephalosporin- and carbapenem-resistant Enterobacterales from ready-to-eat frozen stone fruit.","authors":"Adeeb Nasta, Ashley L Cooper, Irelynd V Tackabury, Chloe Anastasiadis, Calvin Ho-Fung Lau, Liam P Brown, Myron L Smith, Sandeep Tamber, Catherine D Carrillo","doi":"10.1139/cjm-2024-0210","DOIUrl":"10.1139/cjm-2024-0210","url":null,"abstract":"Antimicrobial resistance (AMR) is a global public health threat, but the role of foods in its dissemination is poorly understood. We examined the incidence of foodborne bacteria carrying AMR genes considered high-priority research targets by the World Health Organization. Frozen, ready-to-eat, avocado, coconut, mango, and peach (n = 161) were tested for bacteria encoding extended-spectrum β-lactamases (ESBLs) and carbapenemases. Over 600 presumptive-positive isolates were recovered and analyzed with a pooled sequencing (Pool-seq) strategy. Coconut samples exhibited the highest bacterial loads and prevalence/diversity of AMR genes. Isolates harbouring the β-lactamase genes blactx-m, blatem, and blashv, identified in 14 coconut and 2 mango samples, were further characterized by whole-genome sequencing and antimicrobial susceptibility testing. The most common gene was blactx-m-15, detected in 20 unique strains. Two carbapenemase-producing strains were isolated from coconut: Enterobacter roggenkampii encoding blandm-1 and Escherichia coli encoding blandm-5. Subsequent quantitative PCR (qPCR) analysis of enrichments for blactx-m/blandm indicated a potentially higher prevalence of these genes than observed by colony screening. This study presents a practical method for recovering ESBL- and carbapenemase-producing bacteria from foods. Mapping their distribution in food products is crucial to assessing the role of foods in the global spread of AMR and developing effective public health interventions.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-18"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143498289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Food-borne microbes influence conjugative transfer of antimicrobial resistance plasmids in pre-disturbed gut microbiome. 食源性微生物影响预扰动肠道微生物群中抗菌素耐药性质粒的共轭转移。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2024-0168

Marie Ottenbrite, Gokhan Yilmaz, Maria Chan, John Devenish, Mingsong Kang, Hanhong Dan, Calvin Ho-Fung Lau, Sabrina Capitani, Catherine Carrillo, Kyrylo Bessonov, John H E Nash, Edward Topp, Jiewen Guan

{"title":"Food-borne microbes influence conjugative transfer of antimicrobial resistance plasmids in pre-disturbed gut microbiome.","authors":"Marie Ottenbrite, Gokhan Yilmaz, Maria Chan, John Devenish, Mingsong Kang, Hanhong Dan, Calvin Ho-Fung Lau, Sabrina Capitani, Catherine Carrillo, Kyrylo Bessonov, John H E Nash, Edward Topp, Jiewen Guan","doi":"10.1139/cjm-2024-0168","DOIUrl":"10.1139/cjm-2024-0168","url":null,"abstract":"Ingestion of antibiotic-resistant bacteria following antibiotic treatments may lead to the transfer of antimicrobial resistance genes (ARGs) within a disturbed gut microbiota. However, it remains unclear whether and how microbes present in food matrices influence ARG transfer. Thus, a previously established mouse model, which demonstrated the conjugative transfer of a multi-drug resistance plasmid (pIncA/C) from Salmonella Heidelberg (donor) to Salmonella Typhimurium (recipient), was used to assess the effects of food-borne microbes derived from fresh carrots on pIncA/C transfer. Mice were pre-treated with ampicillin, streptomycin, sulfamethazine, or left untreated as a control to facilitate bacterial colonization. Contrary to previous findings where high-density colonization of the donor and recipient bacteria occurred in the absence of food-borne microbes, the presence of these microbes resulted in a low abundance of S. Typhimurium and no detection of S. Typhimurium transconjugants in the fecal samples from any of the mice. However, in mice pre-treated with streptomycin, a significant reduction in microbial species richness allowed for the significant enrichment of Enterobacteriaceae and pIncA/C transfer to bacteria from the genera Escherichia, Enterobacter, Citrobacter, and Proteus. These findings suggest that food-borne microbes may enhance ARG dissemination by influencing the population dynamics of bacterial hosts within a pre-disturbed gut microbiome.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-11"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Identification, characterization and pathogenicity of Colletotrichum asianum, C. fructicola, and C. laticiphilum causing mango anthracnose in Vietnam. 越南芒果炭疽病病原菌亚洲炭疽菌、果孢炭疽菌和乳汁炭疽菌的鉴定、鉴定和致病性。

IF 1.6 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2025-0069

Nguyen Thi Thuy Tien, Le Thi Ha Thanh, Tran Thi My Linh, Nguyen Quang Duc Tien, Nguyen Hoang Loc

{"title":"Identification, characterization and pathogenicity of Colletotrichum asianum, C. fructicola, and C. laticiphilum causing mango anthracnose in Vietnam.","authors":"Nguyen Thi Thuy Tien, Le Thi Ha Thanh, Tran Thi My Linh, Nguyen Quang Duc Tien, Nguyen Hoang Loc","doi":"10.1139/cjm-2025-0069","DOIUrl":"10.1139/cjm-2025-0069","url":null,"abstract":"Mango (Mangifera indica L.) is famous for its flavor, aroma, and nutritional value. However, anthracnose caused by Colletotrichum is the most destructive postharvest disease of mango, causing significant economic losses. This study aimed to identify and characterize Colletotrichum species associated with mango anthracnose in Vietnam and evaluate their pathogenicity and cross-infection potential. Through examination of colony characteristics, conidia, and appressorial morphology, along with phylogenetic analysis based on the ITS region and five genetic markers (gapdh, act, tub2, chs-1, and cal), five isolates were classified into three distinct species: C. asianum (MH32, MH24, and MC76), C. fructicola (MC32), and C. laticiphilum (MC81). Notably, C. fructicola and C. laticiphilum are the two species identified for the first time on mangoes in Vietnam. Pathogenicity tests demonstrated that C. fructicola MC32 and C. laticiphilum MC81 caused anthracnose in mango, banana, guava, and tomato. Among the C. asianum isolates, differences in aggressiveness were observed: isolate MH32 caused anthracnose on mango, banana, guava, and tomato; isolate MC76 caused anthracnose on mango, banana, and tomato; and isolate MH24 affected only mango and tomato.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

A pilot study on the effects of in-feed probiotic Lactobacillus rhamnosus ATCC 53103 (LGG) on vaccinated Atlantic salmon (Salmo salar): microbiomes and Aeromonas salmonicida challenge resilience. 饲料中添加鼠李糖乳杆菌ATCC 53103 （LGG）对接种大西洋鲑鱼（Salmo salar）微生物组和杀沙门氏气单胞菌抗性影响的初步研究

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 Epub Date: 2025-01-17 DOI: 10.1139/cjm-2024-0130

Natalia Lorenc, Steven Leadbeater, Josh Wang, Jennifer Ronholm, Xiaoji Liu

{"title":"A pilot study on the effects of in-feed probiotic Lactobacillus rhamnosus ATCC 53103 (LGG) on vaccinated Atlantic salmon (Salmo salar): microbiomes and Aeromonas salmonicida challenge resilience.","authors":"Natalia Lorenc, Steven Leadbeater, Josh Wang, Jennifer Ronholm, Xiaoji Liu","doi":"10.1139/cjm-2024-0130","DOIUrl":"10.1139/cjm-2024-0130","url":null,"abstract":"The use of probiotics is an alternative approach to mitigate the proliferation of antimicrobial resistance in aquaculture. In our study, we examined the effects of Lactobacillus rhamnosus GG (ATCC 53103, LGG) delivered in-feed on the weight, length, skin mucus, and faecal microbiomes of Atlantic salmon. We also challenged the salmon with Aeromonas salmonicida 2004-05MF26 (Asal2004) and assessed the mortality. Our results showed no significant change (P > 0.05) in weight or length of Atlantic salmon or their resilience to Asal2004 infection after LGG feeding. Infection changed significantly the skin mucus and faecal microbiomes: Clostridium sensu stricto increased from 3.14% to 9.20% in skin mucus and 1.39% to 3.74% in faeces (P < 0.05). Aeromonas increased from 0.02% to 0.60% in faeces (P < 0.05). Photobacterium increased from not detected (0%) to 52.16% (P < 0.01) and Aliivibrio decreased from 67.21% to 0.71% in faeces (P < 0.01). After infection, Lactococcus (9.93%) and Lactobacillus (2.11%) in skin mucus of the LGG group were significantly higher (P < 0.05) than in the skin mucus from the rest of the groups (4.14% and 1.08%, respectively). In conclusion, LGG feeding did not further increase the resilience of vaccinated Atlantic salmon. Asal2004 infection had much greater impact on skin mucus and faecal microbiomes than LGG feeding.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-10"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143000693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Variation in plasmid conjugation among nontyphoidal Salmonella enterica serovars. 非伤寒沙门氏菌血清型质粒结合的变异。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 Epub Date: 2024-12-18 DOI: 10.1139/cjm-2024-0164

Anna Laidlaw, Madeleine Blondin-Brosseau, Julie A Shay, Forest Dussault, Mary Rao, Nicholas Petronella, Sandeep Tamber

{"title":"Variation in plasmid conjugation among nontyphoidal Salmonella enterica serovars.","authors":"Anna Laidlaw, Madeleine Blondin-Brosseau, Julie A Shay, Forest Dussault, Mary Rao, Nicholas Petronella, Sandeep Tamber","doi":"10.1139/cjm-2024-0164","DOIUrl":"10.1139/cjm-2024-0164","url":null,"abstract":"Conjugation is a complex phenomenon involving multiple plasmid, bacterial, and environmental factors. Here we describe an IncI1 plasmid encoding multidrug antibiotic resistance to aminoglycosides, sulfonamides, and third-generation cephalosporins. This plasmid is widespread geographically among animal, human, and environmental sectors. We present data on the transmissibility of this plasmid from Salmonella enterica ser. Kentucky into 40 strains of S. enterica (10 strains each from serovars Enteritidis, Heidelberg, Infantis, and Typhimurium). Thirty seven out of 40 strains were able to take up the plasmid. Rates of conjugation were variable between strains ranging from 10-8 to 10-4. Overall, serovars Enteritidis and Typhimurium demonstrated the highest rates of conjugation, followed by Heidelberg, and then Infantis. No relationships were observed between the recipient cell surface and rate of conjugation. Recipient cell numbers correlated positively with conjugation rate and strains with high conjugation rates had marginally but significantly higher growth parameters compared to strains that took up the plasmid at lower frequencies. Environmental conditions known to impact cell growth, such as temperature, nutrient availability, and the presence of antibiotics, had a modulating effect on conjugation. Collectively, these results will further understanding of plasmid transmission dynamics in Salmonella, which is a critical first step towards the development of mitigation strategies.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-14"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142853058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

Engineering conjugative plasmids for inducible horizontal DNA transfer. 用于诱导水平DNA转移的工程共轭质粒。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2024-0241

Tahani Jaafar, Emily Carvalhais, Arina Shrestha, Ryan R Cochrane, Jordyn S Meaney, Stephanie L Brumwell, Samir Hamadache, Vida Nasrollahi, Bogumil J Karas

{"title":"Engineering conjugative plasmids for inducible horizontal DNA transfer.","authors":"Tahani Jaafar, Emily Carvalhais, Arina Shrestha, Ryan R Cochrane, Jordyn S Meaney, Stephanie L Brumwell, Samir Hamadache, Vida Nasrollahi, Bogumil J Karas","doi":"10.1139/cjm-2024-0241","DOIUrl":"10.1139/cjm-2024-0241","url":null,"abstract":"Rapidly developing microbial resistance to existing antimicrobials poses a growing threat to public health and global food security. Current chemical-based treatments target cells by inhibiting growth or metabolic function, but their effectiveness is diminishing. To address the growing antimicrobial resistance crisis, there is an urgent need for innovative therapies. Conjugative plasmids, a natural mechanism of horizontal gene transfer in bacteria, have been repurposed to deliver toxic genetic cargo to recipient cells, showing promise as next-generation antimicrobial agents. However, the ecological risks posed by unintended gene transfer require robust biocontainment strategies. In this study, we developed inducible conjugative plasmids to solve these challenges. Utilizing an arabinose-inducible promoter, we evaluated 13 plasmids with single essential gene deletions, identifying trbC and trbF as strong candidates for stringent regulation. These plasmids demonstrated inducibility in both cis and trans configurations, with induction resulting in up to a 5-log increase in conjugation efficiency compared to uninduced conditions. Although challenges such as reduced conjugation efficiency and promoter leakiness persist, this work establishes a foundation for the controlled transfer of plasmids, paving the way for safer and more effective antimicrobial technologies.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":" ","pages":"1-9"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0

From patterns to prediction: machine learning and antifungal resistance biomarker discovery. 从模式到预测：机器学习和抗真菌耐药性生物标志物的发现。

IF 1.8 4区生物学

Canadian journal of microbiology Pub Date : 2025-01-01 DOI: 10.1139/cjm-2024-0248

Veronica Thorn, Jianping Xu

{"title":"From patterns to prediction: machine learning and antifungal resistance biomarker discovery.","authors":"Veronica Thorn, Jianping Xu","doi":"10.1139/cjm-2024-0248","DOIUrl":"https://doi.org/10.1139/cjm-2024-0248","url":null,"abstract":"Fungal pathogens significantly impact human health, agriculture, and ecosystems, with infections leading to high morbidity and mortality, especially among immunocompromised individuals. The increasing prevalence of antifungal resistance (AFR) exacerbates these challenges, limiting the effectiveness of current treatments. Identifying robust biomarkers associated AFR could accelerate targeted diagnosis, shorten decision time for treatment strategies, and improve patient health. This paper examines traditional avenues of AFR biomarker detection, contrasting them with the increasingly effective role of machine learning (ML) in advancing diagnostic and therapeutic strategies. The integration of ML with technologies such as mass spectrometry, molecular dynamics, and various omics-based approaches often results in the discovery of diverse and novel resistance biomarkers. ML's capability to analyse complex data patterns enhances the identification of resistance biomarkers and potential drug targets, offering innovative solutions to AFR management. This paper highlights the importance of interdisciplinary approaches and continued innovation in leveraging ML to combat AFR, aiming for more effective and targeted treatments for fungal infections.","PeriodicalId":9381,"journal":{"name":"Canadian journal of microbiology","volume":"71 ","pages":"1-13"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143954560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 0