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What Lies Beneath? Taking the Plunge into the Murky Waters of Phage Biology

Journal

MSYSTEMS
Volume 8, Issue 1, Pages -

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/msystems.00807-22

Keywords

genomic dark matter; metabolomics; metagenomics; phage

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The sequence revolution has shown that phages, bacteria-infecting viruses, are the most abundant biological entities on Earth. They have significant impacts on microbial communities and ecological processes. However, our understanding of phage biology is still limited.
The sequence revolution revealed that bacteria-infecting viruses, known as phages, are Earth's most abundant biological entities. Phages have far-reaching impacts on the form and function of microbial communities and play a fundamental role in ecological processes. The sequence revolution revealed that bacteria-infecting viruses, known as phages, are Earth's most abundant biological entities. Phages have far-reaching impacts on the form and function of microbial communities and play a fundamental role in ecological processes. However, even well into the sequencing revolution, we have only just begun to explore the murky waters around the phage biology iceberg. Many viral reads cannot be assigned to a culturable isolate, and reference databases are biased toward more easily collectible samples, which likely distorts our conclusions. This minireview points out alternatives to mapping reads to reference databases and highlights innovative bioinformatic and experimental approaches that can help us overcome some of the challenges in phage research and better decipher the impact of phages on microbial communities. Moving beyond the identification of novel phages, we highlight phage metabolomics as an important influencer of bacterial host cell physiology and hope to inspire the reader to consider the effects of phages on host metabolism and ecosystems at large. We encourage researchers to report unassigned/unknown sequencing reads and contigs and to continue developing alternative methods to investigate phages within sequence data.

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