NLM DIR Seminar Schedule
UPCOMING SEMINARS
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March 16, 2026 Janani Ravi, PhD
A bug’s life: a data integration view of microbial genotypes, phenotypes, and diseases -
March 17, 2026 Roman Kogay
Diversification vs Streamlining: Selection Landscapes of Prokaryotic Genome Evolution -
March 24, 2026 Myeongsang Lee
TBD -
March 31, 2026 Yoshitaka Inoue
TBD -
April 7, 2026 Henrry Secaira Morocho
TBD
RECENT SEMINARS
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March 10, 2026 Zhizheng Wang
Large Language Models for Gene Set Analysis -
March 5, 2026 Hasan Balci
From Sketch to SBGN: An AI-Assisted and Interactive Workflow for Generating Pathway Maps -
March 3, 2026 Gianlucca Goncalves Nicastro
Systematic identification of Salmonella T6SS effectors uncovers a lipid-targeting family. -
Feb. 24, 2026 Ajith Viswanathan Asari Pankajam
Systematic Evaluation of Gene Markers in Single-Cell Tissue Atlases -
Feb. 19, 2026 Jean Thierry-Mieg
On Magic2, an innovative hardware-friendly RNA-seq analyzer
Scheduled Seminars on April 26, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Many pathogenic viruses are endemic among human populations and can cause a broad variety of diseases, some potentially leading to devastating pandemics. How virus populations maintain diversity and what selective pressures drive population turnover is not thoroughly understood. We conducted a large-scale phylodynamic analysis of 27 human pathogenic RNA viruses spanning diverse life history traits in search of unifying trends that shape virus evolution. For most virus species, we identify multiple, co-circulating lineages with low turnover rates. These lineages appear to be largely noncompeting and likely occupy semi-independent epidemiological niches that are not regionally or seasonally defined. Typically, intra-lineage mutational signatures are similar to inter-lineage signatures. The principal exception are members of the family Picornaviridae, for which mutations in capsid protein genes are primarily lineage-defining. Inter-lineage turnover is slower than expected under a neutral model whereas intra-lineage turnover is faster than the neutral expectation, further supporting the existence of independent niches. The persistence of virus lineages appears to stem from limited outbreaks within small communities so that only a small fraction of the global susceptible population is infected at any time. As disparate communities become increasingly connected through globalization, interaction and competition between lineages might increase as well, which could result in changing selective pressures and increased diversification and/or pathogenicity. Thus, in addition to zoonotic events, ongoing surveillance of familiar, endemic viruses appears to merit global attention with respect to the prevention or mitigation of future pandemics.