ArticleProceedings of the National Academy of Sciences of the United States of America2009
Niche partitioning in the coevolution of 2 distinct RNA enzymes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Experimental evolution toward extinction in a molecular host-parasite system.Molecular biology and evolution · 2026Article
- A Mutation Threshold for Cooperative Takeover.Life (Basel, Switzerland) · 2022Article
- Low selection pressure aids the evolution of cooperative ribozyme mutations in cells.The Journal of biological chemistry · 2013Article
- Scaling down DNA circuits with competitive neural networks.Journal of the Royal Society, Interface · 2013Article
- Article
- Article
- Synthetic RNA-protein complex shaped like an equilateral triangle.Nature nanotechnology · 2011Article
- Microfluidic landscapes for evolution.Current opinion in chemical biology · 2010Review
- Generation and development of RNA ligase ribozymes with modular architecture through "design and selection".Molecules (Basel, Switzerland) · 2010Review
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
No grant is acknowledged in the PubMed record.
Abstract
Organisms that compete for limited resources within a common environment may evolve traits that allow them to exploit distinct ecological niches, thus enabling multiple species to coexist within the same habitat. The process of niche partitioning now has been captured at the molecular level, employing the method of continuous in vitro evolution. Mixed populations of 2 different "species" of RNA enzymes were made to compete for limited amounts of one or more substrates, with utilization of the substrate being necessary for amplification of the RNA. Evolution in the presence of a single substrate led to the extinction of one or the other enzyme, whereas evolution in the presence of 5 alternative substrates led to the accumulation of mutations that allowed each enzyme to exploit a different preferred resource. The evolved enzymes were capable of sustained coevolution within a common environment, exemplifying the emergence of stable ecological niche behavior in a model system. Biochemical characterization of the 2 evolved enzymes revealed marked differences in their kinetic properties and adaptive strategies. One enzyme reacted with its preferred substrate approximately 100-fold faster than the other, but the slower-reacting species produced 2- to 3-fold more progeny per reacted parent molecule. The in vitro coevolution of 2 or more species of RNA enzymes will make possible further studies in molecular ecology, including the exploration of more complex behaviors, such as predation or cooperation, under controlled laboratory conditions.
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.