ReviewMicrobiome2019
Quantifying the contribution of microbial immigration in engineered water systems.
Review in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Stage-dependent environmental filtering and microbial community reassembly in a full-scale upflow anaerobic sludge blanket (UASB)-two-stage anoxic/oxic (A/O) landfill leachate treatment system.World journal of microbiology & biotechnology · 2026Article
- How to quantify immigration from community abundance data using the neutral community model.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Probability, parameters, and duration of immigration and extinction in microbial communities.The ISME journal · 2026Article
- The quest for environmental analytical microbiology: absolute quantitative microbiome using cellular internal standards.Microbiome · 2025Review
- Sewer microbiomes shape microbial community composition and dynamics of wastewater treatment plants.The ISME journal · 2025Article
- Microbial core communities in activated sludge plants are strongly affected by immigration and geography.Environmental microbiome · 2024Article
- Activated sludge microbial community assembly: the role of influent microbial community immigration.Applied and environmental microbiology · 2024Article
- Dynamics of the sedimentary bacterial communities in a plain river network: similar coalescence patterns with bacterioplankton communities driven by distinct assembly processes.Applied and environmental microbiology · 2023Article
- Cellular RNA levels define heterotrophic substrate-uptake rate sub-guilds in activated sludge microbial communities.Interface focus · 2023Article
- It's a Long Way to the Tap: Microbiome and DNA-Based Omics at the Core of Drinking Water Quality.International journal of environmental research and public health · 2022Review
- Stabilizing microbial communities by looped mass transfer.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture.Microbiome · 2022Article
- Microbial communities across activated sludge plants show recurring species-level seasonal patterns.ISME communications · 2022Article
- Hydrological connectivity promotes coalescence of bacterial communities in a floodplain.Frontiers in microbiology · 2022Article
- Deterministic processes shape bacterial community assembly in a karst river across dry and wet seasons.Frontiers in microbiology · 2022Article
- Engineering microbial technologies for environmental sustainability: choices to make.Microbial biotechnology · 2022Article
- The spatial variation of soil bacterial community assembly processes affects the accuracy of source tracking in ten major Chinese cities.Science China. Life sciences · 2021Article
- Mass-immigration determines the assembly of activated sludge microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Metagenomics for taxonomy profiling: tools and approaches.Bioengineered · 2020Article
- Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals.Microbial biotechnology · 2020Article
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
Immigration is a process that can influence the assembly of microbial communities in natural and engineered environments. However, it remains challenging to quantitatively evaluate the contribution of this process to the microbial diversity and function in the receiving ecosystems. Currently used methods, i.e., counting shared microbial species, microbial source tracking, and neutral community model, rely on abundance profile to reveal the extent of overlapping between the upstream and downstream communities. Thus, they cannot suggest the quantitative contribution of immigrants to the downstream community function because activities of individual immigrants are not considered after entering the receiving environment. This limitation can be overcome by using an approach that couples a mass balance model with high-throughput DNA sequencing, i.e., ecogenomics-based mass balance. It calculates the net growth rate of individual microbial immigrants and partitions the entire community into active populations that contribute to the community function and inactive ones that carry minimal function. Linking activities of immigrants to their abundance further provides quantification of the contribution from an upstream environment to the downstream community. Considering only active populations can improve the accuracy of identifying key environmental parameters dictating process performance using methods such as machine learning.
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.