Welcome to microbe.cards

This platform represents an effort to synchronize phenotypic information for microbes. We have applied and collected various models, primarily Large Language Model (LLM) based, to predict phenotypes and compare these predictions to high-quality phenotypes documented in scientific literature or phenotyping studies. For each microbe, we've generated a "card" page that collects this information and illustrates how the predictions overlap with ground truth. Additionally, we provide model performance estimates for widely used public LLM models based on these high-quality data. Use the search functionality below to explore these microbe cards and compare predictions with documented phenotypes.

Total Species with high-quality annotations

19163

Species with Additional AI-based Predictions

3884

Evaluated Phenotypes

14

Evaluated Models

18

Enter a taxonomy or microbe name to search for detailed information:

Microbe of the Day: Borreliella mayonii

Borreliella mayonii is a fascinating species of spirochete that has garnered attention due to its role as a causative agent of Lyme disease, particularly in certain regions of the United States. This organism was first identified in 2016 and is notable for being the first new species of Borrelia linked to Lyme disease in over a decade. Its discovery has expanded our understanding of the diversity of Lyme disease pathogens and the complexities of tick-borne diseases. One of the most interesting aspects of Borreliella mayonii is its unique genetic makeup, which differentiates it from other known species in the Borrelia genus. This genetic diversity may influence the organism's pathogenicity, transmission dynamics, and the clinical manifestations of the disease it causes. Research into its genome has revealed insights into its evolutionary adaptations, which could be crucial for developing targeted treatments and vaccines. Furthermore, Borreliella mayonii has been associated with distinct clinical features compared to other Lyme disease-causing species, such as Borrelia burgdorferi. Patients infected with Borreliella mayonii may present with symptoms that differ in severity and type, which raises important questions about the diagnosis and management of Lyme disease. The ecological niche of Borreliella mayonii is also of significant interest. It is primarily transmitted by the black-legged tick (Ixodes scapularis), which is prevalent in certain geographic areas. Understanding the ecology of this tick and its interactions with Borreliella mayonii can provide valuable insights into the epidemiology of Lyme disease and inform public health strategies. In summary, Borreliella mayonii stands out not only for its role in human health but also for its contributions to the broader understanding of tick-borne pathogens. Its unique characteristics and the ongoing research surrounding it make it a valuable subject for further study in microbiology and infectious disease epidemiology.

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Annotation types:
Phenotype Status
Motility Literature-based
Gram staining Literature-based
Aerophilicity Literature-based
Extreme environment tole… Literature-based
Biofilm formation LLM-based
Animal pathogenicity Literature-based
Biosafety level Literature-based
Health association LLM-based
Host association Literature-based
Plant pathogenicity Literature-based
Spore formation LLM-based
Hemolysis LLM-based
Cell shape Literature-based