Subtopic Deep Dive
Yersinia pestis Genomics
Research Guide
What is Yersinia pestis Genomics?
Yersinia pestis genomics sequences and compares modern and ancient genomes of the plague bacterium to identify strain diversity, plasmid content, and evolutionary changes in gene content.
Researchers use whole-genome sequencing and comparative genomics on Yersinia pestis isolates from pandemics like the Black Death. Key studies include the first complete genome by Parkhill et al. (2001, 1226 citations) and ancient DNA draft from Black Death victims by Bos et al. (2011, 786 citations). Over 20 papers from the list apply comparative methods across Yersinia and related pathogens.
Why It Matters
Genomic data from Parkhill et al. (2001) reveals Y. pestis plasmids essential for virulence, aiding surveillance of modern outbreaks. Bos et al. (2011) ancient genomes trace Black Death evolution, informing vaccine targets against flea-transmitted strains. Zhou et al. (2019) EnteroBase platform enables Y. pestis phylogeny tracking, supporting global ectoparasite vector studies.
Key Research Challenges
Ancient DNA Damage
Ancient Y. pestis samples suffer fragmentation and damage, complicating full genome recovery. Jónsson et al. (2013) mapDamage2.0 estimates damage parameters to correct sequencing errors. This limits accurate strain comparison across historical pandemics.
Phylogenetic Reconstruction
High genomic similarity between Y. pestis strains hinders precise phylogeny. Zhou et al. (2019) EnteroBase analyzes Y. pestis core genomic diversity for transmission tracking. Recombination events further obscure evolutionary history.
Plasmid Content Variation
Y. pestis plasmids vary across isolates, affecting pathogenicity predictions. Parkhill et al. (2001) identified key plasmids, but integration with chromosomes requires advanced comparative tools. Hacker and Carniel (2001) highlight genomic islands role in fitness.
Essential Papers
mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
Hákon Jónsson, Aurélien Ginolhac, Mikkel Schubert et al. · 2013 · Bioinformatics · 1.7K citations
Abstract Motivation: Ancient DNA (aDNA) molecules in fossilized bones and teeth, coprolites, sediments, mummified specimens and museum collections represent fantastic sources of information for evo...
Complete genome sequence of a multiple drug resistant Salmonella enterica serovar Typhi CT18
Julian Parkhill, Gordon Dougan, Keith James et al. · 2001 · Nature · 1.3K citations
Genome sequence of Yersinia pestis, the causative agent of plague
Julian Parkhill, Brendan W. Wren, Nicholas R. Thomson et al. · 2001 · Nature · 1.2K citations
The Gram-negative bacterium Yersinia pestis is the causative agent of the systemic invasive infectious disease classically referred to as plague, and has been responsible for three human pandemics:...
The EnteroBase user's guide, with case studies on <i>Salmonella</i> transmissions, <i>Yersinia pestis</i> phylogeny, and <i>Escherichia</i> core genomic diversity
Zhemin Zhou, Nabil-Fareed Alikhan, Khaled Mohamed et al. · 2019 · Genome Research · 996 citations
EnteroBase is an integrated software environment that supports the identification of global population structures within several bacterial genera that include pathogens. Here, we provide an overvie...
The genome sequence of Bacillus anthracis Ames and comparison to closely related bacteria
Timothy D. Read, Scott N. Peterson, Nicolas J. Tourasse et al. · 2003 · Nature · 817 citations
A draft genome of Yersinia pestis from victims of the Black Death
Kirsten I. Bos, Verena J. Schuenemann, G. Brian Golding et al. · 2011 · Nature · 786 citations
Technological advances in DNA recovery and sequencing have drastically expanded the scope of genetic analyses of ancient specimens to the extent that full genomic investigations are now feasible an...
Pandemics Throughout History
Jocelyne Piret, Guy Boivin · 2021 · Frontiers in Microbiology · 694 citations
The emergence and spread of infectious diseases with pandemic potential occurred regularly throughout history. Major pandemics and epidemics such as plague, cholera, flu, severe acute respiratory s...
Reading Guide
Foundational Papers
Read Parkhill et al. (2001) first for complete Y. pestis genome and plasmids; then Bos et al. (2011) for ancient Black Death sequencing methods establishing comparative genomics baseline.
Recent Advances
Study Zhou et al. (2019) EnteroBase for Y. pestis phylogeny and population structure advances.
Core Methods
Core techniques: whole-genome sequencing (Parkhill et al., 2001), ancient DNA damage estimation (Jónsson et al., 2013 mapDamage2.0), core genomic diversity analysis (Zhou et al., 2019).
How PapersFlow Helps You Research Yersinia pestis Genomics
Discover & Search
Research Agent uses searchPapers and exaSearch to find Yersinia pestis genomics papers like Parkhill et al. (2001), then citationGraph reveals 1226 citing works on plague evolution. findSimilarPapers links Bos et al. (2011) Black Death genome to Zhou et al. (2019) phylogeny tools.
Analyze & Verify
Analysis Agent applies readPaperContent to extract plasmid sequences from Parkhill et al. (2001), then runPythonAnalysis with NumPy/pandas compares gene content across strains. verifyResponse (CoVe) and GRADE grading confirm ancient DNA damage stats from Jónsson et al. (2013) with statistical verification.
Synthesize & Write
Synthesis Agent detects gaps in Y. pestis plasmid evolution post-Bos et al. (2011), flagging contradictions in strain diversity. Writing Agent uses latexEditText, latexSyncCitations for Parkhill et al. (2001), and latexCompile to generate reports; exportMermaid diagrams phylogeny from Zhou et al. (2019).
Use Cases
"Run comparative genomics on Y. pestis Black Death vs modern strains using Python."
Research Agent → searchPapers('Yersinia pestis genomes') → Analysis Agent → readPaperContent(Bos 2011 + Parkhill 2001) → runPythonAnalysis(pandas alignment, NumPy SNP stats) → researcher gets CSV of gene differences.
"Write LaTeX review of Y. pestis ancient genomics with citations."
Synthesis Agent → gap detection(Zhou 2019 phylogeny gaps) → Writing Agent → latexEditText(intro), latexSyncCitations(Parkhill 2001, Bos 2011), latexCompile → researcher gets compiled PDF with figures.
"Find code for mapDamage ancient DNA analysis in Y. pestis papers."
Research Agent → searchPapers('mapDamage Yersinia pestis') → Code Discovery (paperExtractUrls → paperFindGithubRepo → githubRepoInspect Jónsson 2013) → researcher gets repo with Bayesian damage estimation scripts.
Automated Workflows
Deep Research workflow scans 50+ papers like Parkhill et al. (2001) and Bos et al. (2011) for systematic Y. pestis genome review: searchPapers → citationGraph → structured report with GRADE scores. DeepScan applies 7-step analysis to Zhou et al. (2019) phylogeny: readPaperContent → runPythonAnalysis → CoVe verification. Theorizer generates hypotheses on plasmid evolution from Hacker and Carniel (2001) genomic islands.
Frequently Asked Questions
What defines Yersinia pestis genomics?
Yersinia pestis genomics sequences and compares genomes to study strain diversity, plasmids, and evolution, as in Parkhill et al. (2001) first complete genome.
What methods are used?
Methods include whole-genome sequencing, comparative genomics, and ancient DNA damage correction with mapDamage2.0 (Jónsson et al., 2013); EnteroBase for phylogeny (Zhou et al., 2019).
What are key papers?
Foundational: Parkhill et al. (2001, 1226 citations) Y. pestis genome; Bos et al. (2011, 786 citations) Black Death draft. Recent: Zhou et al. (2019, 996 citations) EnteroBase for Y. pestis analysis.
What open problems exist?
Challenges include resolving plasmid mosaicism (Hacker and Carniel, 2001) and full ancient genome recovery despite mapDamage advances (Jónsson et al., 2013).
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