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Cronobacter sakazakii Genomic Analysis
Research Guide

What is Cronobacter sakazakii Genomic Analysis?

Cronobacter sakazakii genomic analysis involves whole-genome sequencing, comparative genomics, and phylogenomic studies of C. sakazakii strains to identify genetic diversity, plasmids, and mobile elements linked to pathogenicity.

Researchers sequence genomes from clinical, food, and environmental isolates to map strain diversity. Comparative analyses reveal core and accessory genes across Cronobacter species (Joseph et al., 2012, 123 citations). Multilocus sequence typing identifies outbreak-associated sequence type 4 (Joseph, 2011, 156 citations). Over 10 key papers document these approaches since 2007.

Curated Papers

Key Challenges

Why It Matters

Genomic analysis tracks C. sakazakii sequence type 4 strains responsible for 75% of neonatal meningitis cases (Joseph, 2011). It identifies prophage-encoded virulence factors divergent in outbreak isolates (Kucerova et al., 2010, 208 citations). These insights support diagnostics for infant formula contamination and inform intervention strategies against persistence in dairy processing environments.

Key Research Challenges

Strain Diversity Mapping

Capturing genetic variation across 89-97% pairwise identity in seven Cronobacter species requires extensive sampling (Joseph et al., 2012). Prophage and plasmid divergence complicates core genome identification (Kucerova et al., 2010). Phylogenomic trees demand high-resolution MLST schemes like 7-loci typing (Forsythe et al., 2014).

Virulence Factor Localization

Distinguishing pathogenicity islands from prophage regions in BAA-894-like strains remains unresolved (Kucerova et al., 2010). Outer membrane proteins like OmpA/OmpX link to invasion but need genomic context (Kim et al., 2010). Mobile elements transfer traits across Enterobacteriaceae, evading simple annotation (Navon-Venezia et al., 2017).

Outbreak Strain Tracking

Sequence type 4 dominates infections but distinguishing epidemic from sporadic isolates requires whole-genome MLST (Joseph, 2011). Environmental persistence genes overlap with dairy contaminants (Gopal et al., 2015). Real-time phylogenomics lags behind sequencing throughput.

Essential Papers

Klebsiella pneumoniae: a major worldwide source and shuttle for antibiotic resistance

Shiri Navon‐Venezia, Kira Kondratyeva, Alessandra Carattoli · 2017 · FEMS Microbiology Reviews · 1.2K citations

Klebsiella pneumoniae is an important multidrug-resistant (MDR) pathogen affecting humans and a major source for hospital infections associated with high morbidity and mortality due to limited trea...

The taxonomy of Enterobacter sakazakii: proposal of a new genus Cronobacter gen. nov. and descriptions of Cronobacter sakazakii comb. nov. Cronobacter sakazakii subsp. sakazakii, comb. nov., Cronobacter sakazakii subsp. malonaticus subsp. nov., Cronobacter turicensis sp. nov., Cronobacter muytjensii sp. nov., Cronobacter dublinensis sp. nov. and Cronobacter genomospecies 1

Carol Iversen, Angelika Lehner, Niall Mullane et al. · 2007 · BMC Evolutionary Biology · 318 citations

The Prevalence and Control of Bacillus and Related Spore-Forming Bacteria in the Dairy Industry

Nidhi Gopal, Colin Hill, R. Paul Ross et al. · 2015 · Frontiers in Microbiology · 299 citations

Milk produced in udder cells is sterile but due to its high nutrient content, it can be a good growth substrate for contaminating bacteria. The quality of milk is monitored via somatic cell counts ...

Genome Sequence of Cronobacter sakazakii BAA-894 and Comparative Genomic Hybridization Analysis with Other Cronobacter Species

Eva Kucerova, Sandra W. Clifton, Xiao-Qin Xia et al. · 2010 · PLoS ONE · 208 citations

CGH highlighted 15 clusters of genes in C. sakazakii BAA-894 that were divergent or absent in more than half of the tested strains; six of these are of probable prophage origin. Putative virulence ...

Outer Membrane Proteins A (OmpA) and X (OmpX) Are Essential for Basolateral Invasion of <i>Cronobacter sakazakii</i>

Kyumson Kim, Kwang-Pyo Kim, Jeongjoon Choi et al. · 2010 · Applied and Environmental Microbiology · 167 citations

ABSTRACT Cronobacter sakazakii is an opportunistic pathogen that actively invades host eukaryotic cells. To identify invasion factors responsible for the intestinal translocation of C. sakazakii , ...

<i>Cronobacter sakazakii</i>Sequence Type 4 in Neonatal Infections

Susan Joseph · 2011 · Emerging infectious diseases · 156 citations

A 7-loci (3,036 nt) multilocus sequence typing scheme was applied to 41 clinical isolates of Cronobacter sakazakii. Half (20/41) of the C. sakazakii strains were sequence type (ST) 4, and 9/12 meni...

A Klebsiella pneumoniae ST307 outbreak clone from Germany demonstrates features of extensive drug resistance, hypermucoviscosity, and enhanced iron acquisition

Stefan E. Heiden, Nils‐Olaf Hübner, Jürgen A. Bohnert et al. · 2020 · Genome Medicine · 152 citations

Reading Guide

Foundational Papers

Start with Iversen et al. (2007, 318 citations) for genus taxonomy, then Kucerova et al. (2010, 208 citations) for BAA-894 genome and CGH, followed by Joseph (2011, 156 citations) for ST4 clinical relevance.

Recent Advances

Study Forsythe et al. (2014, 136 citations) for MLST maturation and Joseph et al. (2012, 123 citations) for seven-species genomes to contextualize post-2010 advances.

Core Methods

Core techniques are whole-genome sequencing, comparative genomic hybridization (Kucerova et al., 2010), multilocus sequence typing (Forsythe et al., 2014), and pairwise identity analysis (Joseph et al., 2012).

How PapersFlow Helps You Research Cronobacter sakazakii Genomic Analysis

Discover & Search

Research Agent uses searchPapers('Cronobacter sakazakii genome sequence') to retrieve Kucerova et al. (2010), then citationGraph reveals 208 citing papers on prophage divergence, and findSimilarPapers expands to Joseph et al. (2012) for seven-species comparisons.

Analyze & Verify

Analysis Agent applies readPaperContent on Forsythe et al. (2014) to extract MLST schemes, verifyResponse with CoVe cross-checks ST4 prevalence against Joseph (2011), and runPythonAnalysis computes phylogenetic distances from supplementary trees using pandas/NumPy. GRADE scores evidence strength for virulence gene claims at A-level for OmpA (Kim et al., 2010).

Synthesize & Write

Synthesis Agent detects gaps in post-2014 plasmid mobility studies, flags contradictions between Iversen et al. (2007) taxonomy and Forsythe et al. (2014) MLST, then Writing Agent uses latexEditText for methods sections, latexSyncCitations for 10-paper bibliographies, and latexCompile for phylogenomic reports with exportMermaid strain trees.

Use Cases

"Compute core genome fraction across Cronobacter sakazakii BAA-894 and 10 related strains from Kucerova et al."

Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (pandas gene table alignment, NumPy identity matrix) → CSV export of 92% core genome metric with statistical p-values.

"Draft LaTeX comparative genomics section citing Joseph 2012 and Kucerova 2010 with ST4 phylogeny figure."

Synthesis Agent → gap detection → Writing Agent → latexEditText (insert methods) → latexSyncCitations (10 refs) → latexCompile → PDF with embedded Mermaid diagram of 89-97% species identity.

"Find GitHub repos analyzing Cronobacter MLST from Forsythe 2014 supplementary data."

Research Agent → paperExtractUrls (Forsythe et al. 2014) → paperFindGithubRepo → githubRepoInspect → Python scripts for 7-loci typing and ST4 outbreak simulations.

Automated Workflows

Deep Research workflow scans 50+ Cronobacter papers via searchPapers → citationGraph → structured report on ST4 evolution (Joseph, 2011). DeepScan's 7-step chain verifies prophage claims in Kucerova et al. (2010) with CoVe checkpoints and Python dendrograms. Theorizer generates hypotheses linking OmpX invasion genes to dairy persistence from Kim et al. (2010) and Gopal et al. (2015).

Try Doxa for Cronobacter sakazakii Genomic Analysis Research

Frequently Asked Questions

What defines Cronobacter sakazakii genomic analysis?

It encompasses whole-genome sequencing, comparative hybridization, and MLST to map diversity and virulence elements (Kucerova et al., 2010; Forsythe et al., 2014).

What are key methods used?

Methods include CGH for prophage detection (Kucerova et al., 2010), 7-loci MLST for ST4 tracking (Joseph, 2011), and pairwise identity calculations across species (Joseph et al., 2012).

What are the most cited papers?

Iversen et al. (2007, 318 citations) established Cronobacter taxonomy; Kucerova et al. (2010, 208 citations) sequenced BAA-894; Joseph (2011, 156 citations) linked ST4 to infections.

What open problems persist?

Unresolved issues include real-time outbreak phylogenomics, plasmid-mediated resistance spread, and virulence gene functionality beyond OmpA/OmpX (Navon-Venezia et al., 2017; Kim et al., 2010).