ArticleEnvironmental science and pollution research international2019
Methylococcaceae are the dominant active aerobic methanotrophs in a Chinese tidal marsh.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 20 citations in OpenAlex.
- Methane cycling microorganisms drive seasonal variation of methane emission in mangrove ecosystems.Environmental microbiome · 2025Article
- Intensive rice cropping drives shifts in abundance, activity, and assembly of root-associated methanotrophic community.FEMS microbiology ecology · 2025Article
- Methane Oxidation Potential and Niche Differentiation of Aerobic Methanotrophs in Coastal Mangrove Forest Soils along a 370 Km Long Coastline in Taiwan.Environmental science & technology · 2025Article
- Comparative analysis of crab growth performance, enzyme activity, and microbiota between rice-crab coculture and pond farming systems.Frontiers in veterinary science · 2025Article
- Aerobic methanotrophy increases the net iron reduction in methanogenic lake sediments.Frontiers in microbiology · 2023Article
- Bacterial community composition in soils covered by different vegetation types in the Yancheng tidal marsh.Environmental science and pollution research international · 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
7 authors at 5 institutions in 2 countries.
Funding
Abstract
Although coastal marshes are net carbon sinks, they are net methane sources. Aerobic methanotrophs in coastal marsh soils are important methane consumers, but their activity and populations are poorly characterized. DNA stable-isotope probing followed by sequencing was used to determine how active methanotrophic populations differed in the main habitats of a Chinese coastal marsh. These habitats included mudflat, native plant-dominated, and alien plant-dominated habitats. Methylococcaceae was the most active methanotroph family across four habitats. Abundant methylotroph sequences, including methanotrophs and non-methane-oxidizing methylotrophs (Methylotenera and Methylophaga), constituted 50-70% of the 16S rRNA genes detected in the labeled native plant-dominated and mudflat soils. Methylotrophs were less abundant (~ 20%) in labeled alien plant-dominated soil, suggesting less methane assimilation into the target community or a different extent of carbon cross-feeding. Canonical correspondence analysis indicated a significant correlation between the active bacterial communities and soil properties (salinity, organic carbon, total nitrogen, pH, and available phosphorus). Importantly, these results highlight how changing vegetation or soil features in coastal marshes may change their resident active methanotrophic populations, which will further influence methane cycling.
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.