ReviewApplied and environmental microbiology2025
Exploring sub-species variation in food microbiomes: a roadmap to reveal hidden diversity and functional potential.
Review in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Microbial terroir in winegrowing: revisiting the role of microbial biogeography in terroir expression.Applied and environmental microbiology · 2026Review
- Morpho-biochemical and molecular identification of Bacillus licheniformis and Bacillus cereus isolates from sorghum (Sorghum bicolor L.) rhizosphere.Scientific reports · 2026Article
- Grape expectations: disentangling environmental drivers of microbiome establishment in winegrowing ecosystems.NPJ biofilms and microbiomes · 2026Article
- Food-borne bacterial pathogens: emerging approaches in detection and prevention.Archives of microbiology · 2026Review
- Microbial ecology of fermented foods.FEMS yeast research · 2026Review
- Microbial Ecology at the Nexus of Food Safety and Biotechnology With Ecological Mechanisms, Risks, and Emerging Innovations.International journal of food science · 2026Review
- Comparative Profiling of Yeast Communities in Kefir Grains and Liquid Kefir Using ITS Amplicon Next-Generation Sequencing.International journal of food science · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Within-species diversity of microorganisms in food systems significantly shapes community function. While next-generation sequencing (NGS) methods have advanced our understanding of microbiomes at the community level, it is essential to recognize the importance of within-species variation for understanding and predicting the functional activities of these communities. This review highlights the substantial variation observed among microbial species in food systems and its implications for their functionality. We discuss a selection of key species in fermented foods and food systems, highlighting examples of strain-level variation and its influence on quality and safety. We present a comprehensive roadmap of methodologies aimed at uncovering this often overlooked underlying diversity. Technologies like long-read marker-gene or shotgun metagenome sequencing offer enhanced resolution of microbial communities and insights into the functional potential of individual strains and should be integrated with techniques such as metabolomics, metatranscriptomics, and metaproteomics to link strain-level microbial community structure to functional activities. Furthermore, the interactions between viruses and microbes that contribute to strain diversity and community stability are also critical to consider. This article highlights existing research and emphasizes the importance of incorporating within-species diversity in microbial community studies to harness their full potential, advance fundamental science, and foster innovation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.