Pub Date : 2025-01-21Epub Date: 2024-12-11DOI: 10.1128/msystems.00765-24
Fengle Jiang, Yuan Dang, Zheting Zhang, Yanan Yan, Yingchao Wang, Yi Chen, Lihong Chen, Jialiang Zhang, Jingfeng Liu, Jianmin Wang
The evidence that intratumoral microbiomes, as a rising hallmark of cancer, have a profound impact on cancer phenotypes is increasingly compelling. However, the impact of the composition and diversity of the intratumoral microbiome on the prognosis of patients undergoing surgical resection for hepatocellular carcinoma (HCC) remains incompletely understood. In this study, we revealed a high abundance of bacteria in the neoplastic tissues. The presence of bacterial lipopolysaccharide and lipoteichoic acid was detected alongside tumor-associated immune cells. By utilizing 16S rRNA gene sequencing, we identified a specific intratumoral microbiome signature that was highly predictive of the prognosis for HCC patients who underwent surgical resection. Specifically, the presence of Intestinimonas, Brachybacterium, and Rothia were identified as independent risk factors for the overall survival of HCC patients who underwent surgical resection.IMPORTANCEAlthough some studies have shown an abundance of bacteria in hepatocellular carcinoma (HCC), there is still limited understanding of the composition and diversity of the intratumoral microbiome that is favorable or adverse to the prognosis of HCC patients. Our results indicated that a greater abundance of bacteria could be observed in the neoplastic tissues than in nonneoplastic tissues. Bacterial cell wall components largely coincided with tumor-associated immune cells. The bacteria in the long overall survival (LOS) group were associated with metabolism and cytokine‒cytokine receptor interaction pathways, while bacteria in the short overall survival (SOS) group were associated with proinflammatory and cell proliferation pathways. Notably, specific taxa could independently predict HCC prognosis. Based on these findings, intratumoral microbiomes facilitate the use of precision medicine in clinical practice.
{"title":"Association of intratumoral microbiome diversity with hepatocellular carcinoma prognosis.","authors":"Fengle Jiang, Yuan Dang, Zheting Zhang, Yanan Yan, Yingchao Wang, Yi Chen, Lihong Chen, Jialiang Zhang, Jingfeng Liu, Jianmin Wang","doi":"10.1128/msystems.00765-24","DOIUrl":"10.1128/msystems.00765-24","url":null,"abstract":"<p><p>The evidence that intratumoral microbiomes, as a rising hallmark of cancer, have a profound impact on cancer phenotypes is increasingly compelling. However, the impact of the composition and diversity of the intratumoral microbiome on the prognosis of patients undergoing surgical resection for hepatocellular carcinoma (HCC) remains incompletely understood. In this study, we revealed a high abundance of bacteria in the neoplastic tissues. The presence of bacterial lipopolysaccharide and lipoteichoic acid was detected alongside tumor-associated immune cells. By utilizing 16S rRNA gene sequencing, we identified a specific intratumoral microbiome signature that was highly predictive of the prognosis for HCC patients who underwent surgical resection. Specifically, the presence of Intestinimonas, Brachybacterium, and Rothia were identified as independent risk factors for the overall survival of HCC patients who underwent surgical resection.IMPORTANCEAlthough some studies have shown an abundance of bacteria in hepatocellular carcinoma (HCC), there is still limited understanding of the composition and diversity of the intratumoral microbiome that is favorable or adverse to the prognosis of HCC patients. Our results indicated that a greater abundance of bacteria could be observed in the neoplastic tissues than in nonneoplastic tissues. Bacterial cell wall components largely coincided with tumor-associated immune cells. The bacteria in the long overall survival (LOS) group were associated with metabolism and cytokine‒cytokine receptor interaction pathways, while bacteria in the short overall survival (SOS) group were associated with proinflammatory and cell proliferation pathways. Notably, specific taxa could independently predict HCC prognosis. Based on these findings, intratumoral microbiomes facilitate the use of precision medicine in clinical practice.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0076524"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807121","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}
Giant viruses are crucial for marine ecosystem dynamics because they regulate microeukaryotic community structure, accelerate carbon and nutrient cycles, and drive the evolution of their hosts through co-evolutionary processes. Previously reported long-term observations revealed that these viruses display seasonal fluctuations in abundance. However, the underlying genetic mechanisms driving such dynamics of these viruses remain largely unknown. In this study, we investigated the dynamics of giant viruses using time-series metagenomes from eutrophic coastal seawater samples collected over 20 months. A newly developed computational pipeline generated 1,065 high-quality genomes covering six major giant virus lineages. These genomic data revealed year-round recovery of the viral community structure at the study site and distinct dynamics of viral populations that were classified as persistent (n = 9), seasonal (n = 389), sporadic (n = 318), or others. By profiling the intra-species nucleotide-resolved microdiversity through read mapping, we also identified year-round recovery dynamics at subpopulation level for viruses classified as persistent or seasonal. Our results further indicated that giant viruses with broader niche breadth tended to exhibit higher levels of microdiversity. We argue that greater microdiversity of viruses likely enhances adaptability and thus survival under the virus-host arms race during prolonged interactions with their hosts.IMPORTANCERecent genome-resolved metagenomic surveys have uncovered the vast genomic diversity of giant viruses, which play significant roles in aquatic ecosystems by acting as bloom terminators and influencing biogeochemical cycles. However, the relationship between the ecological dynamics of giant viruses and underlying genetic structures of viral populations remains unresolved. In this study, we performed deep metagenomic sequencing of seawater samples collected across a time-series from a coastal area in Japan. The results revealed a significant positive correlation between microdiversity and temporal persistence of giant virus populations, suggesting that population structure is a crucial factor for adaptation and survival in the interactions with their hosts.
{"title":"Genome-resolved year-round dynamics reveal a broad range of giant virus microdiversity.","authors":"Yue Fang, Lingjie Meng, Jun Xia, Yasuhiro Gotoh, Tetsuya Hayashi, Keizo Nagasaki, Hisashi Endo, Yusuke Okazaki, Hiroyuki Ogata","doi":"10.1128/msystems.01168-24","DOIUrl":"10.1128/msystems.01168-24","url":null,"abstract":"<p><p>Giant viruses are crucial for marine ecosystem dynamics because they regulate microeukaryotic community structure, accelerate carbon and nutrient cycles, and drive the evolution of their hosts through co-evolutionary processes. Previously reported long-term observations revealed that these viruses display seasonal fluctuations in abundance. However, the underlying genetic mechanisms driving such dynamics of these viruses remain largely unknown. In this study, we investigated the dynamics of giant viruses using time-series metagenomes from eutrophic coastal seawater samples collected over 20 months. A newly developed computational pipeline generated 1,065 high-quality genomes covering six major giant virus lineages. These genomic data revealed year-round recovery of the viral community structure at the study site and distinct dynamics of viral populations that were classified as persistent (<i>n</i> = 9), seasonal (<i>n</i> = 389), sporadic (<i>n</i> = 318), or others. By profiling the intra-species nucleotide-resolved microdiversity through read mapping, we also identified year-round recovery dynamics at subpopulation level for viruses classified as persistent or seasonal. Our results further indicated that giant viruses with broader niche breadth tended to exhibit higher levels of microdiversity. We argue that greater microdiversity of viruses likely enhances adaptability and thus survival under the virus-host arms race during prolonged interactions with their hosts.IMPORTANCERecent genome-resolved metagenomic surveys have uncovered the vast genomic diversity of giant viruses, which play significant roles in aquatic ecosystems by acting as bloom terminators and influencing biogeochemical cycles. However, the relationship between the ecological dynamics of giant viruses and underlying genetic structures of viral populations remains unresolved. In this study, we performed deep metagenomic sequencing of seawater samples collected across a time-series from a coastal area in Japan. The results revealed a significant positive correlation between microdiversity and temporal persistence of giant virus populations, suggesting that population structure is a crucial factor for adaptation and survival in the interactions with their hosts.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0116824"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877479","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}
Pub Date : 2025-01-21DOI: 10.1128/msystems.01471-24
Charlie Bayne, Dominic McGrosso, Concepcion Sanchez, Leigh-Ana Rossitto, Maxwell Patterson, Carlos Gonzalez, Courtney Baus, Cecilia Volk, Haoqi Nina Zhao, Pieter Dorrestein, Victor Nizet, George Sakoulas, David J Gonzalez, Warren Rose
<p><p>Despite the prevalence and severity of enterococcal bacteremia (EcB), the mechanisms underlying systemic host responses to the disease remain unclear. Here, we present an extensive study that profiles molecular differences in plasma from EcB patients using an unbiased multi-omics approach. We performed shotgun proteomics and metabolomics on 105 plasma samples, including those from EcB patients and healthy volunteers. Comparison between healthy volunteer and EcB-infected patient samples revealed significant disparities in proteins and metabolites involved in the acute phase response, inflammatory processes, and cholestasis. Several features distinguish these two groups with remarkable accuracy. Cross-referencing EcB signatures with those of <i>Staphylococcus aureus</i> bacteremia revealed shared reductions in cholesterol metabolism proteins and differing responses in platelet alpha granule and neutrophil-associated proteins. Characterization of <i>Enterococcus</i> isolates derived from patients facilitated a nuanced comparison between EcB caused by <i>Enterococcus faecalis</i> and <i>Enterococcus faecium,</i> uncovering reduced immunoglobulin abundances in <i>E. faecium</i> cases and features capable of distinguishing the underlying microbe. Leveraging extensive patient metadata, we now have identified features associated with mortality or survival, revealing significant multi-omic differences and pinpointing histidine-rich glycoprotein and fetuin-B as features capable of distinguishing survival status with excellent accuracy. Altogether, this study aims to culminate in the creation of objective risk stratification algorithms-a pivotal step toward enhancing patient management and care. To facilitate the exploration of this rich data source, we provide a user-friendly interface at https://gonzalezlab.shinyapps.io/EcB_multiomics/.</p><p><strong>Importance: </strong><i>Enterococcus</i> infections have emerged as the second most common nosocomial infection, with enterococcal bacteremia (EcB) contributing to thousands of patient deaths annually. To address a lack of detailed understanding regarding the specific systemic response to EcB, we conducted a comprehensive multi-omic evaluation of the systemic host response observed in patient plasma. Our findings reveal significant features in the metabolome and proteome associated with the presence of infection, species differences, and survival outcome. We identified features capable of discriminating EcB infection from healthy states and survival from mortality with excellent accuracy, suggesting potential practical clinical utility. However, our study also established that systemic features to distinguish <i>Enterococcus faecalis</i> from <i>Enterococcus faecium</i> EcB show only a moderate degree of discriminatory accuracy, unlikely to significantly improve upon current diagnostic methods. Comparisons of differences in the plasma proteome relative to healthy samples between bacteremia caused by <i>
{"title":"Multi-omic signatures of host response associated with presence, type, and outcome of enterococcal bacteremia.","authors":"Charlie Bayne, Dominic McGrosso, Concepcion Sanchez, Leigh-Ana Rossitto, Maxwell Patterson, Carlos Gonzalez, Courtney Baus, Cecilia Volk, Haoqi Nina Zhao, Pieter Dorrestein, Victor Nizet, George Sakoulas, David J Gonzalez, Warren Rose","doi":"10.1128/msystems.01471-24","DOIUrl":"https://doi.org/10.1128/msystems.01471-24","url":null,"abstract":"<p><p>Despite the prevalence and severity of enterococcal bacteremia (EcB), the mechanisms underlying systemic host responses to the disease remain unclear. Here, we present an extensive study that profiles molecular differences in plasma from EcB patients using an unbiased multi-omics approach. We performed shotgun proteomics and metabolomics on 105 plasma samples, including those from EcB patients and healthy volunteers. Comparison between healthy volunteer and EcB-infected patient samples revealed significant disparities in proteins and metabolites involved in the acute phase response, inflammatory processes, and cholestasis. Several features distinguish these two groups with remarkable accuracy. Cross-referencing EcB signatures with those of <i>Staphylococcus aureus</i> bacteremia revealed shared reductions in cholesterol metabolism proteins and differing responses in platelet alpha granule and neutrophil-associated proteins. Characterization of <i>Enterococcus</i> isolates derived from patients facilitated a nuanced comparison between EcB caused by <i>Enterococcus faecalis</i> and <i>Enterococcus faecium,</i> uncovering reduced immunoglobulin abundances in <i>E. faecium</i> cases and features capable of distinguishing the underlying microbe. Leveraging extensive patient metadata, we now have identified features associated with mortality or survival, revealing significant multi-omic differences and pinpointing histidine-rich glycoprotein and fetuin-B as features capable of distinguishing survival status with excellent accuracy. Altogether, this study aims to culminate in the creation of objective risk stratification algorithms-a pivotal step toward enhancing patient management and care. To facilitate the exploration of this rich data source, we provide a user-friendly interface at https://gonzalezlab.shinyapps.io/EcB_multiomics/.</p><p><strong>Importance: </strong><i>Enterococcus</i> infections have emerged as the second most common nosocomial infection, with enterococcal bacteremia (EcB) contributing to thousands of patient deaths annually. To address a lack of detailed understanding regarding the specific systemic response to EcB, we conducted a comprehensive multi-omic evaluation of the systemic host response observed in patient plasma. Our findings reveal significant features in the metabolome and proteome associated with the presence of infection, species differences, and survival outcome. We identified features capable of discriminating EcB infection from healthy states and survival from mortality with excellent accuracy, suggesting potential practical clinical utility. However, our study also established that systemic features to distinguish <i>Enterococcus faecalis</i> from <i>Enterococcus faecium</i> EcB show only a moderate degree of discriminatory accuracy, unlikely to significantly improve upon current diagnostic methods. Comparisons of differences in the plasma proteome relative to healthy samples between bacteremia caused by <i>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0147124"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008529","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}
Pub Date : 2025-01-21Epub Date: 2024-12-13DOI: 10.1128/msystems.01288-24
Caitriona Brennan, Rodolfo A Salido, Pedro Belda-Ferre, MacKenzie Bryant, Charles Cowart, Maria D Tiu, Antonio Gonzalez, Daniel McDonald, Caitlin Tribelhorn, Amir Zarrinpar, Rob Knight
{"title":"Correction for Brennan et al., \"Maximizing the potential of high-throughput next-generation sequencing through precise normalization based on read count distribution\".","authors":"Caitriona Brennan, Rodolfo A Salido, Pedro Belda-Ferre, MacKenzie Bryant, Charles Cowart, Maria D Tiu, Antonio Gonzalez, Daniel McDonald, Caitlin Tribelhorn, Amir Zarrinpar, Rob Knight","doi":"10.1128/msystems.01288-24","DOIUrl":"10.1128/msystems.01288-24","url":null,"abstract":"","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0128824"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818674","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}
Emerging evidence highlights the potential impact of intratumoral microbiota on cancer. However, the microbial composition and function in glioma remains elusive. Consequently, our study aimed to investigate the microbial community composition in glioma tissues and elucidate its role in glioma development. We parallelly performed microbial profiling, transcriptome sequencing, and metabolomics detection on tumor and adjacent normal brain tissues obtained from 50 glioma patients. We employed immunohistochemistry, multicolor immunofluorescence, and fluorescence in situ hybridization (FISH) staining to observe the presence and location of bacteria. Furthermore, an animal model was employed to validate the impact of key bacteria on glioma development. Six genera were found to be significantly enriched in glioma tissues compared to adjacent normal brain tissues, including Fusobacterium, Longibaculum, Intestinimonas, Pasteurella, Limosilactobacillus, and Arthrobacter. Both bacterial RNA and lipopolysaccharides (LPS) were observed in glioma tissues. Integrated microbiomics, transcriptomics, and metabolomics revealed that genes associated with intratumoral microbes were enriched in multiple synapse-associated pathways and that metabolites associated with intratumoral microbes were (R)-N-methylsalsolinol, N-acetylaspartylglutamic acid, and N-acetyl-l-aspartic acid. Further mediation analysis suggested that the intratumoral microbiome may affect the expression of neuron-related genes through bacteria-associated metabolites. In addition, both in vivo and in vitro models of glioma show that Fusobacterium nucleatum promotes glioma proliferation and upregulates CCL2, CXCL1, and CXCL2 levels. Our findings shed light on the intricate interplay between intratumoral bacteria and glioma.
Importance: Our study adopted a multi-omics approach to unravel the impact of intratumoral microbes on neuron-related gene expression through bacteria-associated metabolites. Importantly, we found bacterial RNA and LPS signals within glioma tissues, which were traditionally considered sterile. We identified key microbiota within glioma tissues, including Fusobacterium nucleatum (Fn). Through in vivo and in vitro experiments, we identified the crucial role of Fn in promoting glioma progression, suggesting that Fn could be a potential diagnostic and therapeutic target for glioma patients. These findings offer valuable insights into the intricate interplay between intratumoral bacteria and glioma, offering novel inspiration to the realm of glioma biology.
新出现的证据强调了肿瘤内微生物群对癌症的潜在影响。然而,神经胶质瘤中微生物的组成和功能尚不清楚。因此,我们的研究旨在研究胶质瘤组织中的微生物群落组成,并阐明其在胶质瘤发展中的作用。我们同时对50例胶质瘤患者的肿瘤和邻近正常脑组织进行了微生物谱分析、转录组测序和代谢组学检测。我们采用免疫组织化学、多色免疫荧光和荧光原位杂交(FISH)染色观察细菌的存在和位置。此外,采用动物模型验证关键细菌对胶质瘤发育的影响。与邻近的正常脑组织相比,在胶质瘤组织中发现了6个属的显著富集,包括梭杆菌、长杆菌、无肠单胞菌、巴氏杆菌、乳酸杆菌和节杆菌。在胶质瘤组织中观察到细菌RNA和脂多糖(LPS)。综合微生物组学、转录组学和代谢组学发现,与肿瘤内微生物相关的基因在多种突触相关通路中富集,与肿瘤内微生物相关的代谢物是(R)- n -甲基沙索林醇、n -乙酰天冬氨酸和n -乙酰天冬氨酸。进一步的中介分析表明,肿瘤内微生物组可能通过细菌相关代谢物影响神经元相关基因的表达。此外,胶质瘤的体内和体外模型均显示,核梭杆菌促进胶质瘤增殖,上调CCL2、CXCL1和CXCL2水平。我们的发现揭示了肿瘤内细菌和胶质瘤之间复杂的相互作用。重要性:我们的研究采用多组学方法,通过细菌相关代谢物揭示肿瘤内微生物对神经元相关基因表达的影响。重要的是,我们在胶质瘤组织中发现了细菌RNA和LPS信号,而胶质瘤组织通常被认为是无菌的。我们确定了胶质瘤组织中的关键微生物群,包括核梭杆菌(Fn)。通过体内和体外实验,我们发现Fn在促进胶质瘤进展中的关键作用,提示Fn可能是胶质瘤患者潜在的诊断和治疗靶点。这些发现为瘤内细菌和胶质瘤之间复杂的相互作用提供了有价值的见解,为胶质瘤生物学领域提供了新的灵感。
{"title":"Multi-omics analysis reveals the interplay between intratumoral bacteria and glioma.","authors":"Ting Li, Zhanyi Zhao, Meichang Peng, Lu Zhang, Cheng Wang, Feiyang Luo, Meiqin Zeng, Kaijian Sun, Zhencheng Fang, Yunhao Luo, Yugu Xie, Cui Lv, Jiaxuan Wang, Jian-Dong Huang, Hongwei Zhou, Haitao Sun","doi":"10.1128/msystems.00457-24","DOIUrl":"10.1128/msystems.00457-24","url":null,"abstract":"<p><p>Emerging evidence highlights the potential impact of intratumoral microbiota on cancer. However, the microbial composition and function in glioma remains elusive. Consequently, our study aimed to investigate the microbial community composition in glioma tissues and elucidate its role in glioma development. We parallelly performed microbial profiling, transcriptome sequencing, and metabolomics detection on tumor and adjacent normal brain tissues obtained from 50 glioma patients. We employed immunohistochemistry, multicolor immunofluorescence, and fluorescence <i>in situ</i> hybridization (FISH) staining to observe the presence and location of bacteria. Furthermore, an animal model was employed to validate the impact of key bacteria on glioma development. Six genera were found to be significantly enriched in glioma tissues compared to adjacent normal brain tissues, including <i>Fusobacterium</i>, <i>Longibaculum</i>, <i>Intestinimonas</i>, <i>Pasteurella</i>, <i>Limosilactobacillus,</i> and <i>Arthrobacter</i>. Both bacterial RNA and lipopolysaccharides (LPS) were observed in glioma tissues. Integrated microbiomics, transcriptomics, and metabolomics revealed that genes associated with intratumoral microbes were enriched in multiple synapse-associated pathways and that metabolites associated with intratumoral microbes were (R)-<i>N</i>-methylsalsolinol, <i>N</i>-acetylaspartylglutamic acid, and <i>N</i>-acetyl-l-aspartic acid. Further mediation analysis suggested that the intratumoral microbiome may affect the expression of neuron-related genes through bacteria-associated metabolites. In addition, both <i>in vivo</i> and <i>in vitro</i> models of glioma show that <i>Fusobacterium nucleatum</i> promotes glioma proliferation and upregulates CCL2, CXCL1, and CXCL2 levels. Our findings shed light on the intricate interplay between intratumoral bacteria and glioma.</p><p><strong>Importance: </strong>Our study adopted a multi-omics approach to unravel the impact of intratumoral microbes on neuron-related gene expression through bacteria-associated metabolites. Importantly, we found bacterial RNA and LPS signals within glioma tissues, which were traditionally considered sterile. We identified key microbiota within glioma tissues, including <i>Fusobacterium nucleatum</i> (Fn). Through <i>in vivo</i> and <i>in vitro</i> experiments, we identified the crucial role of Fn in promoting glioma progression, suggesting that Fn could be a potential diagnostic and therapeutic target for glioma patients. These findings offer valuable insights into the intricate interplay between intratumoral bacteria and glioma, offering novel inspiration to the realm of glioma biology.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0045724"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748541/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807127","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}
Pub Date : 2025-01-21Epub Date: 2024-12-23DOI: 10.1128/msystems.01071-24
Charlotte J Neumann, Rokhsareh Mohammadzadeh, Pei Yee Woh, Tanja Kobal, Manuela-Raluca Pausan, Tejus Shinde, Victoria Haid, Polona Mertelj, Eva-Christine Weiss, Vassiliki Kolovetsiou-Kreiner, Alexander Mahnert, Christina Kumpitsch, Evelyn Jantscher-Krenn, Christine Moissl-Eichinger
Recent research provides new insights into the early establishment of the infant gut microbiome, emphasizing the influence of breastfeeding on the development of gastrointestinal microbiomes. In our study, we longitudinally examined the taxonomic and functional dynamics of the oral and gastrointestinal tract (GIT) microbiomes of healthy infants (n = 30) in their first year, focusing on the often-over-looked aspects, the development of archaeal and anaerobic microbiomes. Breastfed (BF) infants exhibit a more defined transitional phase in their oral microbiome compared to non-breastfed (NBF) infants, marked by a decrease in Streptococcus and the emergence of anaerobic genera such as Granulicatella. This phase, characterized by increased alpha-diversity and significant changes in beta-diversity, occurs earlier in NBF infants (months 1-3) than in BF infants (months 4-6), suggesting that breastfeeding supports later, more defined microbiome maturation. We demonstrated the presence of archaea in the infant oral cavity and GIT microbiome from early infancy, with Methanobrevibacter being the predominant genus. Still, transient patterns show that no stable archaeome is formed. The GIT microbiome exhibited gradual development, with BF infants showing increased diversity and complexity between the third and eighth months, marked by anaerobic microbial networks. NBF infants showed complex microbial co-occurrence patterns from the start. These strong differences between BF and NBF infants' GIT microbiomes are less pronounced on functional levels than on taxonomic levels. Overall, the infant microbiome differentiates and stabilizes over the first year, with breastfeeding playing a crucial role in shaping anaerobic microbial networks and overall microbiome maturation.
Importance: The first year of life is a crucial period for establishing a healthy human microbiome. Our study analyses the role of archaea and obligate anaerobes in the development of the human oral and gut microbiome, with a specific focus on the impact of breastfeeding in this process. Our findings demonstrated that the oral and gut microbiomes of breastfed infants undergo distinct phases of increased dynamics within the first year of life. In contrast, the microbiomes of non-breastfed infants are more mature from the first month, leading to a steadier development without distinct transitional phases in the first year. Additionally, we found that archaeal signatures are present in infants under 1 year of age, but they do not form a stable archaeome. In contrast to this, we could track specific bacterial strains transitioning from oral to gut or persisting in the gut over time.
{"title":"First-year dynamics of the anaerobic microbiome and archaeome in infants' oral and gastrointestinal systems.","authors":"Charlotte J Neumann, Rokhsareh Mohammadzadeh, Pei Yee Woh, Tanja Kobal, Manuela-Raluca Pausan, Tejus Shinde, Victoria Haid, Polona Mertelj, Eva-Christine Weiss, Vassiliki Kolovetsiou-Kreiner, Alexander Mahnert, Christina Kumpitsch, Evelyn Jantscher-Krenn, Christine Moissl-Eichinger","doi":"10.1128/msystems.01071-24","DOIUrl":"10.1128/msystems.01071-24","url":null,"abstract":"<p><p>Recent research provides new insights into the early establishment of the infant gut microbiome, emphasizing the influence of breastfeeding on the development of gastrointestinal microbiomes. In our study, we longitudinally examined the taxonomic and functional dynamics of the oral and gastrointestinal tract (GIT) microbiomes of healthy infants (<i>n</i> = 30) in their first year, focusing on the often-over-looked aspects, the development of archaeal and anaerobic microbiomes. Breastfed (BF) infants exhibit a more defined transitional phase in their oral microbiome compared to non-breastfed (NBF) infants, marked by a decrease in <i>Streptococcus</i> and the emergence of anaerobic genera such as <i>Granulicatella</i>. This phase, characterized by increased alpha-diversity and significant changes in beta-diversity, occurs earlier in NBF infants (months 1-3) than in BF infants (months 4-6), suggesting that breastfeeding supports later, more defined microbiome maturation. We demonstrated the presence of archaea in the infant oral cavity and GIT microbiome from early infancy, with <i>Methanobrevibacter</i> being the predominant genus. Still, transient patterns show that no stable archaeome is formed. The GIT microbiome exhibited gradual development, with BF infants showing increased diversity and complexity between the third and eighth months, marked by anaerobic microbial networks. NBF infants showed complex microbial co-occurrence patterns from the start. These strong differences between BF and NBF infants' GIT microbiomes are less pronounced on functional levels than on taxonomic levels. Overall, the infant microbiome differentiates and stabilizes over the first year, with breastfeeding playing a crucial role in shaping anaerobic microbial networks and overall microbiome maturation.</p><p><strong>Importance: </strong>The first year of life is a crucial period for establishing a healthy human microbiome. Our study analyses the role of archaea and obligate anaerobes in the development of the human oral and gut microbiome, with a specific focus on the impact of breastfeeding in this process. Our findings demonstrated that the oral and gut microbiomes of breastfed infants undergo distinct phases of increased dynamics within the first year of life. In contrast, the microbiomes of non-breastfed infants are more mature from the first month, leading to a steadier development without distinct transitional phases in the first year. Additionally, we found that archaeal signatures are present in infants under 1 year of age, but they do not form a stable archaeome. In contrast to this, we could track specific bacterial strains transitioning from oral to gut or persisting in the gut over time.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0107124"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756582/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877474","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}
Pub Date : 2025-01-21Epub Date: 2024-12-23DOI: 10.1128/msystems.01162-24
Paige E Payne, Loren N Knobbe, Patricia Chanton, Julian Zaugg, Behzad Mortazavi, Olivia U Mason
Anaerolineae, particularly uncultured representatives, are one of the most abundant microbial groups in coastal salt marshes, dominating the belowground rhizosphere, where over half of plant biomass production occurs. However, this class generally remains poorly understood, particularly in a salt marsh context. Here, novel Anaerolineae metagenome-assembled genomes (MAGs) were generated from the salt marsh rhizosphere representing Anaerolineales, Promineifilales, JAAYZQ01, B4-G1, JAFGEY01, UCB3, and Caldilineales orders. Metagenome and metatranscriptome reads were mapped to annotated MAGs, revealing nearly all Anaerolineae encoded and transcribed genes required for oxidation of carbon compounds ranging from simple sugars to complex polysaccharides, fermentation, and carbon fixation. Furthermore, the majority of Anaerolineae expressed genes involved in anaerobic and aerobic respiration and secondary metabolite production. The data revealed that the belowground salt marsh Anaerolineae in the rhizosphere are important players in carbon cycling, including degradation of simple carbon compounds and more recalcitrant plant material, such as cellulose, using a diversity of electron acceptors and represent an unexplored reservoir of novel secondary metabolites.IMPORTANCEGiven that coastal salt marshes are recognized as biogeochemical hotspots, it is fundamentally important to understand the functional role of the microbiome in this ecosystem. In particular, Anaerolineae are abundant members of the salt marsh rhizosphere and have been identified as core microbes, suggesting they play an important functional role. Yet, little is known about the metabolic pathways encoded and expressed in this abundant salt marsh clade. Using an 'omics-based approach, we determined that Anaerolineae are capable of oxidizing a range of carbon compounds, including simple sugars to complex carbon compounds, while also encoding fermentation and carbon fixation. Surprisingly, Anaerolineae encoded and transcribed genes involved in aerobic respiration, which was unexpected given the reduced nature of the salt marsh rhizosphere. Finally, the majority of Anaerolineae appear to be involved in secondary metabolite production, suggesting that this group represents an unexplored reservoir of novel and important secondary metabolites.
{"title":"Uncovering novel functions of the enigmatic, abundant, and active <i>Anaerolineae</i> in a salt marsh ecosystem.","authors":"Paige E Payne, Loren N Knobbe, Patricia Chanton, Julian Zaugg, Behzad Mortazavi, Olivia U Mason","doi":"10.1128/msystems.01162-24","DOIUrl":"10.1128/msystems.01162-24","url":null,"abstract":"<p><p><i>Anaerolineae</i>, particularly uncultured representatives, are one of the most abundant microbial groups in coastal salt marshes, dominating the belowground rhizosphere, where over half of plant biomass production occurs. However, this class generally remains poorly understood, particularly in a salt marsh context. Here, novel <i>Anaerolineae</i> metagenome-assembled genomes (MAGs) were generated from the salt marsh rhizosphere representing <i>Anaerolineales</i>, <i>Promineifilales</i>, JAAYZQ01, B4-G1, JAFGEY01, UCB3, and <i>Caldilineales</i> orders. Metagenome and metatranscriptome reads were mapped to annotated MAGs, revealing nearly all <i>Anaerolineae</i> encoded and transcribed genes required for oxidation of carbon compounds ranging from simple sugars to complex polysaccharides, fermentation, and carbon fixation. Furthermore, the majority of <i>Anaerolineae</i> expressed genes involved in anaerobic and aerobic respiration and secondary metabolite production. The data revealed that the belowground salt marsh <i>Anaerolineae</i> in the rhizosphere are important players in carbon cycling, including degradation of simple carbon compounds and more recalcitrant plant material, such as cellulose, using a diversity of electron acceptors and represent an unexplored reservoir of novel secondary metabolites.IMPORTANCEGiven that coastal salt marshes are recognized as biogeochemical hotspots, it is fundamentally important to understand the functional role of the microbiome in this ecosystem. In particular, <i>Anaerolineae</i> are abundant members of the salt marsh rhizosphere and have been identified as core microbes, suggesting they play an important functional role. Yet, little is known about the metabolic pathways encoded and expressed in this abundant salt marsh clade. Using an 'omics-based approach, we determined that <i>Anaerolineae</i> are capable of oxidizing a range of carbon compounds, including simple sugars to complex carbon compounds, while also encoding fermentation and carbon fixation. Surprisingly, <i>Anaerolineae</i> encoded and transcribed genes involved in aerobic respiration, which was unexpected given the reduced nature of the salt marsh rhizosphere. Finally, the majority of <i>Anaerolineae</i> appear to be involved in secondary metabolite production, suggesting that this group represents an unexplored reservoir of novel and important secondary metabolites.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0116224"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748557/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877511","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}
Pub Date : 2025-01-21Epub Date: 2024-12-19DOI: 10.1128/msystems.01259-24
Jamie J M Lustermans, Mantas Sereika, Laurine D W Burdorf, Mads Albertsen, Andreas Schramm, Ian P G Marshall
Cable bacteria, filamentous sulfide oxidizers that live in sulfidic sediments, are at times associated with large flocks of swimming bacteria. It has been proposed that these flocks of bacteria transport electrons extracellularly to cable bacteria via an electron shuttle intermediate, but the identity and activity of these bacteria in freshwater sediment remain mostly uninvestigated. Here, we elucidate the electron exchange capabilities of the bacterial community by coupling metagenomics and metatranscriptomics to 16S rRNA amplicon-based correlations with cable bacteria over 155 days. We identified candidate flocking bacteria as bacteria containing genes for motility and extracellular electron transfer including synthesis genes for potential extracellular electron shuttles: phenazines and flavins. Based on these criteria, 22 MAGs were from candidate flockers, which constituted 21.4% of all 103 MAGs. Of the candidate flocking bacteria, 42.1% expressed extracellular electron transfer genes. The proposed flockers belonged to a large variety of metabolically versatile taxonomic groups: 18 genera spread across nine phyla. Our data suggest that cable bacteria in freshwater sediments engage in electric relationships with diverse exoelectrogenic microbes. This community, found in deeper anoxic sediment layers, is involved in sulfur, carbon, and metal (in particular Fe) cycling and indirectly utilizes oxygen here by extracellularly transferring electrons to cable bacteria.
Importance: Cable bacteria are ubiquitous, filamentous bacteria that couple sulfide oxidation to the reduction of oxygen at up to centimeter distances in sediment. Cable bacterial impact extends beyond sulfide oxidation via interactions with other bacteria that flock around cable bacteria and use them as electron acceptor "shortcut" to oxygen. The exact nature of this interspecies electric interaction remained unknown. With metagenomics and metatranscriptomics, we determined what extracellular electron transport processes co-occur with cable bacteria, demonstrating the identity and metabolic capabilities of these potential flockers. In sediments, microbial activities are sharply divided into anaerobic and aerobic processes, with oxygen reaching only millimeters deep. Cable bacteria extend the influence of oxygen to several centimeters, revealing a new class of anaerobic microbial metabolism with cable bacteria as electron acceptors. This fundamentally changes our understanding of sediment microbial ecology with wide-reaching consequences for sulfur, metal (in particular Fe), and carbon cycling in freshwater and marine sediments.
{"title":"Extracellular electron transfer genes expressed by candidate flocking bacteria in cable bacteria sediment.","authors":"Jamie J M Lustermans, Mantas Sereika, Laurine D W Burdorf, Mads Albertsen, Andreas Schramm, Ian P G Marshall","doi":"10.1128/msystems.01259-24","DOIUrl":"10.1128/msystems.01259-24","url":null,"abstract":"<p><p>Cable bacteria, filamentous sulfide oxidizers that live in sulfidic sediments, are at times associated with large flocks of swimming bacteria. It has been proposed that these flocks of bacteria transport electrons extracellularly to cable bacteria via an electron shuttle intermediate, but the identity and activity of these bacteria in freshwater sediment remain mostly uninvestigated. Here, we elucidate the electron exchange capabilities of the bacterial community by coupling metagenomics and metatranscriptomics to 16S rRNA amplicon-based correlations with cable bacteria over 155 days. We identified candidate flocking bacteria as bacteria containing genes for motility and extracellular electron transfer including synthesis genes for potential extracellular electron shuttles: phenazines and flavins. Based on these criteria, 22 MAGs were from candidate flockers, which constituted 21.4% of all 103 MAGs. Of the candidate flocking bacteria, 42.1% expressed extracellular electron transfer genes. The proposed flockers belonged to a large variety of metabolically versatile taxonomic groups: 18 genera spread across nine phyla. Our data suggest that cable bacteria in freshwater sediments engage in electric relationships with diverse exoelectrogenic microbes. This community, found in deeper anoxic sediment layers, is involved in sulfur, carbon, and metal (in particular Fe) cycling and indirectly utilizes oxygen here by extracellularly transferring electrons to cable bacteria.</p><p><strong>Importance: </strong>Cable bacteria are ubiquitous, filamentous bacteria that couple sulfide oxidation to the reduction of oxygen at up to centimeter distances in sediment. Cable bacterial impact extends beyond sulfide oxidation via interactions with other bacteria that flock around cable bacteria and use them as electron acceptor \"shortcut\" to oxygen. The exact nature of this interspecies electric interaction remained unknown. With metagenomics and metatranscriptomics, we determined what extracellular electron transport processes co-occur with cable bacteria, demonstrating the identity and metabolic capabilities of these potential flockers. In sediments, microbial activities are sharply divided into anaerobic and aerobic processes, with oxygen reaching only millimeters deep. Cable bacteria extend the influence of oxygen to several centimeters, revealing a new class of anaerobic microbial metabolism with cable bacteria as electron acceptors. This fundamentally changes our understanding of sediment microbial ecology with wide-reaching consequences for sulfur, metal (in particular Fe), and carbon cycling in freshwater and marine sediments.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0125924"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854867","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}
Pub Date : 2025-01-21Epub Date: 2024-12-10DOI: 10.1128/msystems.01058-24
Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang
Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. Vaginal fluid samples were classified as BV positive or BV negative using the BVBlue Test and clinical microscopy, followed by SERS spectral acquisition to construct the data set. Preliminary SERS spectral analysis revealed notable disparities in characteristic peak features. Multiple ML models were constructed and optimized, with the convolutional neural network (CNN) model achieving the highest prediction accuracy at 99%. Gradient-weighted class activation mapping (Grad-CAM) was used to highlight important regions in the images for prediction. Moreover, the CNN model was blindly tested on SERS spectra of vaginal fluid samples collected from 40 participants with unknown BV infection status, achieving a prediction accuracy of 90.75% compared with the results of the BVBlue Test combined with clinical microscopy. This novel technique is simple, cheap, and rapid in accurately diagnosing bacterial vaginosis, potentially complementing current diagnostic methods in clinical laboratories.
Importance: The accurate and rapid diagnosis of bacterial vaginosis (BV) is crucial due to its high prevalence and association with serious health complications, including increased risk of sexually transmitted infections and adverse pregnancy outcomes. Although widely used, traditional diagnostic methods have significant limitations in subjectivity, complexity, and cost. The development of a novel diagnostic approach that integrates SERS with ML offers a promising solution. The CNN model's high prediction accuracy, cost-effectiveness, and extraordinary rapidity underscore its significant potential to enhance the diagnosis of BV in clinical settings. This method not only addresses the limitations of current diagnostic tools but also provides a more accessible and reliable option for healthcare providers, ultimately enhancing patient care and health outcomes.
{"title":"Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.","authors":"Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang","doi":"10.1128/msystems.01058-24","DOIUrl":"10.1128/msystems.01058-24","url":null,"abstract":"<p><p>Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. Vaginal fluid samples were classified as BV positive or BV negative using the BVBlue Test and clinical microscopy, followed by SERS spectral acquisition to construct the data set. Preliminary SERS spectral analysis revealed notable disparities in characteristic peak features. Multiple ML models were constructed and optimized, with the convolutional neural network (CNN) model achieving the highest prediction accuracy at 99%. Gradient-weighted class activation mapping (Grad-CAM) was used to highlight important regions in the images for prediction. Moreover, the CNN model was blindly tested on SERS spectra of vaginal fluid samples collected from 40 participants with unknown BV infection status, achieving a prediction accuracy of 90.75% compared with the results of the BVBlue Test combined with clinical microscopy. This novel technique is simple, cheap, and rapid in accurately diagnosing bacterial vaginosis, potentially complementing current diagnostic methods in clinical laboratories.</p><p><strong>Importance: </strong>The accurate and rapid diagnosis of bacterial vaginosis (BV) is crucial due to its high prevalence and association with serious health complications, including increased risk of sexually transmitted infections and adverse pregnancy outcomes. Although widely used, traditional diagnostic methods have significant limitations in subjectivity, complexity, and cost. The development of a novel diagnostic approach that integrates SERS with ML offers a promising solution. The CNN model's high prediction accuracy, cost-effectiveness, and extraordinary rapidity underscore its significant potential to enhance the diagnosis of BV in clinical settings. This method not only addresses the limitations of current diagnostic tools but also provides a more accessible and reliable option for healthcare providers, ultimately enhancing patient care and health outcomes.</p>","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0105824"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142801559","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}
Pub Date : 2025-01-21Epub Date: 2024-11-11DOI: 10.1128/msystems.01416-24
Raquel Peixoto, Christian R Voolstra, Lisa Y Stein, Philip Hugenholtz, Joana Falcao Salles, Shady A Amin, Max Häggblom, Ann Gregory, Thulani P Makhalanyane, Fengping Wang, Nadège Adoukè Agbodjato, Yinzhao Wang, Nianzhi Jiao, Jay T Lennon, Antonio Ventosa, Patrik M Bavoil, Virginia Miller, Jack A Gilbert
{"title":"Microbial solutions must be deployed against climate catastrophe.","authors":"Raquel Peixoto, Christian R Voolstra, Lisa Y Stein, Philip Hugenholtz, Joana Falcao Salles, Shady A Amin, Max Häggblom, Ann Gregory, Thulani P Makhalanyane, Fengping Wang, Nadège Adoukè Agbodjato, Yinzhao Wang, Nianzhi Jiao, Jay T Lennon, Antonio Ventosa, Patrik M Bavoil, Virginia Miller, Jack A Gilbert","doi":"10.1128/msystems.01416-24","DOIUrl":"10.1128/msystems.01416-24","url":null,"abstract":"","PeriodicalId":18819,"journal":{"name":"mSystems","volume":" ","pages":"e0141624"},"PeriodicalIF":5.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748535/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624252","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}