The probability and duration of immigration in microbial communities
Curtis, T. P.; Allen, B.; Brown, M.; Bell, A.; Swan, D.; Davenport, R.; Sloan, W.
Show abstract
Immigration is a fundamental feature of microbial communities. We propose a method to determine the probability (Pi) that a number of immigrants (i) can attain an abundance N using the ratio of the probabilities of death q and division or "birth" p and the gamblers ruin equation: Pi= (1-(q/p)i/(1-(q/p)N). We estimate the probability of successful bioaugmentation or transplantation, the fate of a mutation infection and extinction. For example, an inoculum of 108 bacteria with a q/p of 1.00000001 has a 10-43 chance of attaining an abundance of 1010. The immigration parameter used in neutral models, m is 1/(1-q/p). We calculated the long-term average value of m and q/p in a wastewater treatment plant. The value of m varies by >5 orders of magnitude, with a curious bimodal distribution. However, all the values of q/p are very close to, but greater than, 1. We expect the long-term average value of q/p to be [~]1 in all stable microbial communities. In the absence of migration, bacterial populations with a q/p [≥]1 will go extinct with probability 1. The link between q/p and infectious dose is known and we demonstrate that, in principle, the gamblers ruin equation can estimate the infectious dose in naturally occurring infections, using Vibrio cholerae "carriers" to illustrate the point. We use the ratio q/p to estimate the time (measured in events or solar time) for a given change in abundance to happen. When q/p=1, extinction in even a small microbial population will take thousands of years.
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The ecological consequences and evolution of retron-mediated suicide as a way to protect Escherichia coli from being killed by phage 93%
- Species matter for predicting the functioning of evolving microbial communities 93%
- A socio-ecological System Dynamics model of antimicrobial use and resistance 92%
Similar papers in this journal
- Mechanisms of biodiversity between Campylobacter sequence types in a flock of broiler-breeder chickens. 93%
- Adaptive peak tracking as explanation of sparse fossil data across fluctuating ancient environments 93%
- Next-generation matrices for marine metapopulations: the case of sea lice on salmon farms 92%
Similar papers in this journal
- Investigation of microbial community interactions between lake Washington methanotrophs using genome-scale metabolic modeling 93%
- Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities 93%
- Spatial structure undermines parasite suppression by gene drive cargo 92%
Similar papers in this journal
- Stochastic logistic models reproduce experimental time series of microbial communities 94%
- Tradeoff breaking as model of evolutionary transitions in individuality and the limits of the fitness decoupling metaphor 94%
- How microscopic epistasis and clonal interference shape the fitness trajectory in a spin glass model of microbial long-term evolution 93%
Similar papers in this journal
- Accuracy of the Lotka-Volterra Model fails in strongly coupled microbial consumer-resource systems 94%
- A stochastic analysis of the interplay between antibiotic dose, mode of action, and bacterial competition in the evolution of antibiotic resistance 94%
- Minimizing the number of optimizations for efficient community dynamic flux balance analysis. 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.