ReviewSynthetic and systems biotechnology2025
Advances in adaptive laboratory evolution applications for
Review in Synthetic and systems biotechnology, 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.
- Accelerated Adaptive Evolution of Gram-Negative Bacteria With a Broad-Host-Range Dual Base Editor.Microbial biotechnology · 2026Article
- Advances in biotechnological methods for genetic and metabolic engineering in Methylomonas sp. DH-1.Journal of biological engineering · 2026Review
- Process Engineering Strategies for Microbial Lipid Production: From Strain Evolution to Industrial-Scale Bioprocessing.International journal of molecular sciences · 2026Review
- Experimental evolution of fungal pathogens as a tool to unravel host adaptation and virulence.PLoS pathogens · 2026Article
- Heterologous expression ofEngineering microbiology · 2026Article
- Efficient synthesis of optically pure D-lactate from mixed sugars by engineeredBiodesign research · 2026Article
- A comprehensive review of genomic-scale genetic engineering as a strategy to improve bacterial productivity.Microbiology (Reading, England) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptive Laboratory Evolution (ALE), a well-established framework in microbial evolution research, is widely applied in synthetic biology. By simulating natural selection through controlled serial culturing, ALE promotes the accumulation of beneficial mutations, leading to the emergence of specific adaptive phenotypes and bypassing the complexities inherent in rational genetic engineering. With advancements in next-generation sequencing and molecular biology, the integration of high-throughput omics and molecular tools with ALE has significantly enhanced the mapping of genotype-phenotype relationships and the characterization of mutational landscapes. This has propelled progress in microbial evolution, biochemical theory, and interdisciplinary applications.
Indexed as
Identifiers
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.