NLM DIR Seminar Schedule
UPCOMING SEMINARS
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May 26, 2026 Harutyun Saakyan
Emergence of ribonucleoproteins in molecular evolution simulations -
May 27, 2026 Brian Abraham
Cis-Regulatory Organization and Transcription Factor Control of Cell Identity and Disease -
June 4, 2026 Yin Fang
TBD -
June 9, 2026 Pascal Mutz
TBD -
June 11, 2026 Angela Jiang
TBD
RECENT SEMINARS
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May 19, 2026 Leann Lindsey
Are Genomic Language Models Learning? Insights from Tokenization Analysis and Prophage Detection in Bacterial Genomes -
May 14, 2026 Brandon Colelough
Biomedical LLM Hallucinations: Detection, Taxonomy, and Mechanistic Knowledge Localization -
May 12, 2026 John Bridgers
A bi-partition function algorithm to evaluate inferred subclonal structures in single-cell sequencing data -
May 5, 2026 Benjamin Hou
Machine Learning for Craniofacial Malocclusion Prediction -
April 28, 2026 Niccolo Marini
From Unimodal Datasets to Multimodal Foundation Models: Synthetic Clinical Notes for Dermatology AI
Scheduled Seminars on March 21, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Recently, mining of bacterial and archaeal genomes for antivirus defense systems has revealed a remarkable diversity of defense mechanisms. Each bacterial genome carries multiple defense systems. Thus, Escherichia coli isolates carry, on average, 5-7 defense per genome that are effective again various phages and act on different stages of infection. In many cases, components of different defense systems are encoded in close proximity to each other, within defense islands. The repertoires composition of defense systems varies significantly even among closely related bacterial strains, but the causes of this variation remain poorly understood. Understanding functional and evolutionary connections between various defense systems is crucial for the reconstruction of the bigger picture of host-virus coevolution. We investigated the patterns of co-occurrence of 110 diverse defense systems in 26,362 complete E. coli genomes and identified many significant positive and negative correlations between the occurrences of pairs of defense systems. We show that some groups of E. coli strains such as those in the phylogroup E, have strong preference for retaining some defense systems, such as Zorya II, Druantia III, and PsyrTA that are rarely present in other phylogroups. Furthermore, we show that negative correlations do not result from antagonistic effects of the respective defense systems, but instead, even if partially redundant, such negatively correlated systems can act in synergy and provide better defense when present together in the cell. Collectively, our results complex interaction between defense systems in bacteria that require further investigation.