ArticleMicrobial biotechnology2024
Into the metabolic wild: Unveiling hidden pathways of microbial metabolism.
Article in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Harnessing the power of abiotic inducers to enhance fungal secondary metabolite production: a review.Folia microbiologica · 2026Review
- Atomic elementary flux modes explain the steady state flow of metabolites in large-scale flux networks.Cell reports methods · 2026Article
- Integrative Bioinformatics Approaches in Environmental Biotechnology: A Review.TheScientificWorldJournal · 2026Review
- Evaluation of Engineering Potential in Undomesticated Microbes With VECTOR.Microbial biotechnology · 2025Article
- Fungal Identifier (FId): An Updated Polymerase Chain Reaction-Restriction Fragment Length Polymorphism Approach to Ease Ascomycetous Yeast Isolates' Identification in Ecological Studies.Journal of fungi (Basel, Switzerland) · 2024Article
- Into the metabolic wild: Unveiling hidden pathways of microbial metabolism.Microbial biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Microbial metabolism has been deeply studied over decades and it is considered to be understood to a great extent. Annotated genome sequences of many microbial species have contributed a lot to generating biochemical knowledge on metabolism. However, researchers still discover novel pathways, unforeseen reactions or unexpected metabolites which contradict to the expected canon of biochemical reactions in living organisms. Here, we highlight a few examples of such non-canonical pathways, how they were found, and what their importance in microbial biotechnology may be. The predictive power of metabolic modelling, well-founded on biochemical knowledge and genomic information is discussed in the light of both discovery of yet unknown existing metabolic routes and the prediction of others, new to Nature.
Indexed as
Identifiers
What Socratic 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 Socratic graph.