ArticlemSystems2021
Bacterial Communities in Concrete Reflect Its Composite Nature and Change with Weathering.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Microbial Community Profiling of Concrete.Microorganisms · 2026Article
- Applications of bio-enhanced cementitious composites for sustainable building materials: emission-reduction and carbon-sequestration pathways.Systems microbiology and biomanufacturing · 2026Review
- The Community Structure of Aerobic Anoxygenic Photosynthetic Bacteria in Biocrusts on Tropical Coral Islands and Their Application in Ecological Restoration, South China Sea.Microorganisms · 2025Article
- An interdisciplinary perspective of the built-environment microbiome.FEMS microbiology ecology · 2025Review
- A cost and community perspective on the barriers to microbiome data reuse.Frontiers in bioinformatics · 2025Article
- Genome sequence ofMicrobiology resource announcements · 2024Article
- Metagenomic Analysis of a Concrete Bridge Reveals a Microbial Community Dominated by Halophilic Bacteria and Archaea.Microbiology spectrum · 2023Article
- Identification of Bacterial Taxa Present in a Concrete Pennsylvania Bridge.Microbiology resource announcements · 2023Article
- Urban endoliths: incidental microbial communities occurring inside concrete.AIMS microbiology · 2023Article
- Metagenomic insights into the microbial communities of inert and oligotrophic outdoor pier surfaces of a coastal city.Microbiome · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Concrete is an extreme but common environment and is home to microbial communities adapted to alkaline, saline, and oligotrophic conditions. Microbes inside the concrete that makes up buildings or roads have received little attention despite their ubiquity and capacity to interact with the concrete. Because concrete is a composite of materials which have their own microbial communities, we hypothesized that the microbial communities of concrete reflect those of the concrete components and that these communities change as the concrete ages. Here, we used a 16S amplicon study to show how microbial communities change over 2 years of outdoor weathering in two sets of concrete cylinders, one prone to the concrete-degrading alkali-silica reaction (ASR) and the other having the risk of the ASR mitigated. After identifying and removing taxa that were likely laboratory or reagent contaminants, we found that precursor materials, particularly the large aggregate (gravel), were the probable source of ∼50 to 60% of the bacteria observed in the first cylinders from each series. Overall, community diversity decreased over 2 years, with temporarily increased diversity in warmer summer months. We found that most of the concrete microbiome was composed of
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.