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Physical Sciences · Environmental Science

Bacteriophages and microbial interactions
Research Guide

What is Bacteriophages and microbial interactions?

Bacteriophages and microbial interactions is the study of how bacteriophages (viruses that infect bacteria) shape microbial communities through infection, host defense and phage counter-defense, and gene flow across ecosystems and applied settings.

This research cluster comprises 137,445 works on the ecology, evolution, and applications of bacteriophages and other microbial viruses across environments, including marine and host-associated systems. "DNA sequencing with chain-terminating inhibitors" (1977) provided a foundational method for determining nucleotide sequences that underpins modern phage and microbiome genomics. "The Sequence Alignment/Map format and SAMtools" (2009) and "Prokka: rapid prokaryotic genome annotation" (2014) are widely used for storing read alignments and annotating microbial and phage-adjacent genomes, enabling large-scale studies of phage–host interactions from sequencing data.

Topic Hierarchy

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graph TD D["Physical Sciences"] F["Environmental Science"] S["Ecology"] T["Bacteriophages and microbial interactions"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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137.4K
Papers
N/A
5yr Growth
3.1M
Total Citations

Research Sub-Topics

Why It Matters

Bacteriophages are increasingly treated as precision biological agents for antimicrobial and microbiome-targeted interventions, and the practical feasibility of these approaches depends on correctly identifying phage–host relationships and engineering or selecting effective phages. A concrete example from the provided news is the "$3.3M Trial of Ai-Designed Bacteriophage Therapy for HAP/VAP" item, which reports a $3.3 million NIAID contract (with potential expansion to $28 million) to advance a Phase 1b clinical trial of an engineered bacteriophage product (LBP-PA01) for hospital-acquired pneumonia/ventilator-associated pneumonia (HAP/VAP). On the methods side, the ability to sequence, align, and interpret phage and bacterial genomes at scale relies on workflows built from "DNA sequencing with chain-terminating inhibitors" (1977), "The Sequence Alignment/Map format and SAMtools" (2009), and downstream annotation via "Prokka: rapid prokaryotic genome annotation" (2014). Experimental manipulation of bacterial hosts to test phage susceptibility and interaction mechanisms is enabled by recombineering approaches such as "One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products" (2000), which explicitly uses phage λ Red recombinase to disrupt chromosomal genes and supports causal tests of host factors involved in phage infection outcomes.

Reading Guide

Where to Start

Start with "DNA sequencing with chain-terminating inhibitors" (1977) because it explains a core sequencing method that underlies most modern genomic and metagenomic evidence used to infer phage–host interactions.

Key Papers Explained

A practical genomics workflow for studying phage–microbe interactions can be read as a pipeline: sequence generation in "DNA sequencing with chain-terminating inhibitors" (1977) produces reads; read mapping and storage are standardized by Li et al. in "The Sequence Alignment/Map format and SAMtools" (2009); assembled microbial genomes can then be annotated using Seemann’s "Prokka: rapid prokaryotic genome annotation" (2014) to identify candidate genes relevant to infection, defense, and prophage biology. For mechanistic grounding in phage biology beyond bioinformatics infrastructure, "Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4" (1970) provides an example of how specific steps in phage assembly are experimentally characterized at the molecular level. For causal tests in bacteria, Datsenko and Wanner’s "One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products" (2000) supports targeted host gene knockouts that can be paired with infection assays to link genotype to interaction outcomes.

Paper Timeline

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graph LR P0["Cleavage of Structural Proteins ...
1970 · 250.9K cites"] P1["DNA sequencing with chain-termin...
1977 · 69.1K cites"] P2["Improved M13 phage cloning vecto...
1985 · 15.1K cites"] P3["AMPLIFICATION AND DIRECT SEQUENC...
1990 · 34.5K cites"] P4["The Sequence Alignment/Map forma...
2009 · 64.1K cites"] P5["Fast, scalable generation of hig...
2011 · 15.7K cites"] P6["Prokka: rapid prokaryotic genome...
2014 · 18.0K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P0 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Recent directions in the provided preprints and news emphasize (i) metagenomics for decoding defense/anti-defense dynamics ("The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics" (2025)), (ii) community-context effects where commensals and phages jointly suppress pathogens ("Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus" (2025)), and (iii) scaling from environmental phage genome catalogs to applications ("Comprehensive analysis of phage genomes from diverse environments reveals their diversity, potential applications, and interactions with hosts and other phages" (2025)). In parallel, the provided news items indicate active translation to engineered phage therapeutics, including a $3.3 million NIAID contract with potential expansion to $28 million for a Phase 1b trial reported in "$3.3M Trial of Ai-Designed Bacteriophage Therapy for HAP/VAP" and genome-from-sequence design ambitions described in "New synthetic phage platform could reshape antimicrobial ...".

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Cleavage of Structural Proteins during the Assembly of the Hea... 1970 Nature 250.9K
2 DNA sequencing with chain-terminating inhibitors 1977 Proceedings of the Nat... 69.1K
3 The Sequence Alignment/Map format and SAMtools 2009 Bioinformatics 64.1K
4 AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GE... 1990 Elsevier eBooks 34.5K
5 Prokka: rapid prokaryotic genome annotation 2014 Bioinformatics 18.0K
6 Fast, scalable generation of high‐quality protein multiple seq... 2011 Molecular Systems Biology 15.7K
7 Improved M13 phage cloning vectors and host strains: nucleotid... 1985 Gene 15.1K
8 One-step inactivation of chromosomal genes in <i>Escherichia c... 2000 Proceedings of the Nat... 14.9K
9 A rapid alkaline extraction procedure for screening recombinan... 1979 Nucleic Acids Research 14.8K
10 Mfold web server for nucleic acid folding and hybridization pr... 2003 Nucleic Acids Research 13.3K

In the News

Code & Tools

Recent Preprints

mBio Latest Articles - ASM Journals

Jan 2026 journals.asm.org Preprint

Host-Microbial InteractionsResearch Article02 July 2024 **The histamine receptor H1 acts as an alternative receptor for SARS-CoV-2**

The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics

Oct 2025 frontiersin.org Preprint

Bacteriophages are viruses that specifically infect bacteria and co-evolve with their hosts through mutual interactions. They represent one of the most significant drivers of microbial diversity, i...

Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus

Aug 2025 nature.com Preprint

However, pathogen’s adaptive capacity allows them to evade microbiome-based defenses, posing significant challeges for microbiota-targeted therapies 11 , 12 . Bacteriophages (phages), the most abun...

Comprehensive analysis of phage genomes from diverse environments reveals their diversity, potential applications, and interactions with hosts and other phages

Nov 2025 frontiersin.org Preprint

Phages, ubiquitous, highly diverse viral components, are key regulators of microbial ecosystem balance, primarily through infection and lysis of bacteria and archaea ( Clokie et al., 2011 ). They s...

Long-read metagenomics reveals phage dynamics in the ...

nature.com Preprint

Bacteriophages are the most abundant biological entity on Earth, playing crucial roles in shaping microbial communities. Most phages are either lytic or are integrated into their bacterial host’s D...

Latest Developments

Frequently Asked Questions

What are bacteriophages and microbial interactions?

Bacteriophages and microbial interactions refers to how phages infect bacteria and how those infections influence microbial ecology, evolution, and applications such as therapy. The provided topic description frames this area around bacteriophages, marine viruses, viromes, and therapeutic and nanotechnological implications across ecosystems.

How do researchers generate sequence data needed to study phage–host interactions?

"DNA sequencing with chain-terminating inhibitors" (1977) describes a method for determining nucleotide sequences in DNA using chain-terminating analogues, forming a basis for sequencing-driven studies of phages and their hosts. Sequencing data then supports comparative genomics, metagenomics, and interaction inference when paired with appropriate alignment and annotation steps.

Which file formats and tools are commonly used to store and analyze sequencing alignments in phage–microbe studies?

"The Sequence Alignment/Map format and SAMtools" (2009) defines the SAM format for storing read alignments against reference sequences and provides tooling for efficient handling of these alignments. Because phage–host interaction studies often depend on mapping reads to microbial and viral references, SAM and SAMtools are common infrastructure for downstream analyses.

How are microbial (and phage-adjacent) genomes annotated for interaction studies?

"Prokka: rapid prokaryotic genome annotation" (2014) describes a workflow for annotating relevant genomic features after assembly, supporting interpretation of genes that may mediate phage infection or bacterial defense. In practice, annotation enables researchers to connect sequence variation to candidate receptors, defense systems, and prophage-related regions in bacterial genomes.

How can bacterial genes be manipulated to test mechanisms of phage susceptibility or resistance?

"One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products" (2000) describes a high-efficiency method to disrupt chromosomal genes using PCR primers that provide homology to targeted loci. The procedure requires phage λ Red recombinase, allowing controlled host-genotype changes that can be linked to changes in phage infection phenotypes.

Which classic phage systems contributed to mechanistic understanding of phage assembly relevant to microbe–phage interactions?

"Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4" (1970) addresses processing of structural proteins during T4 head assembly, representing mechanistic work on phage biology that informs how virions are produced in host cells. Such assembly biology is part of the interaction outcome because successful infection requires coordinated host takeover and virion construction.

Open Research Questions

  • ? How can metagenomics-based approaches robustly distinguish true phage–host pairs from co-occurrence signals when only fragmented sequence data are available, as motivated by "The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics" (2025)?
  • ? Which measurable ecological conditions determine when phage predation synergizes with commensal community effects to suppress pathogen colonization, as posed by "Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus" (2025)?
  • ? How can environmental phage genome diversity be translated into reliable host-range and interaction predictions across ecosystems, as implied by "Comprehensive analysis of phage genomes from diverse environments reveals their diversity, potential applications, and interactions with hosts and other phages" (2025)?
  • ? What experimental and computational standards are needed to connect long-read metagenomic observations of prophage/lysogen dynamics to causal interaction mechanisms, as suggested by "Long-read metagenomics reveals phage dynamics in the ..." (recent)?

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