ArticleApplications in plant sciences
Microbial methods matter: Identifying discrepancies between microbiome denoising pipelines using a leaf biofilm taphonomic dataset.
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Microbial biofilms promote biomineralization and reduce leaf decay under controlled ionic conditions.Biofilm · 2026Article
- Diversity and functional roles of endophytic and rhizospheric microorganisms inFrontiers in microbiology · 2025Article
- Decay experiments and microbial community analysis of water lily leaf biofilms: Sediment effects on leaf preservation potential.PloS one · 2024Article
- Microbial methods matter: Identifying discrepancies between microbiome denoising pipelines using a leaf biofilm taphonomic dataset.Applications in plant sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premise: The occurrence of different microorganisms on aquatic macrophyte fossils suggests that biofilm microbes may facilitate leaf preservation. Understanding the impact of microorganisms on leaf preservation requires studies on living plants coupled with microbial amplicon sequencing. Choosing the most suitable bioinformatic pipeline is pivotal to accurate data interpretation, as it can lead to considerably different estimations of microbial community composition. Methods: We analyze biofilms from floating and submerged leaves of Results: The choice of denoiser alters the total number of sequences identified and differs in the identified taxa. Results from all three denoising pipelines show that the leaf microbial communities differed between depths and that the effect of the environment varied depending on the amplicon region. Discussion: Considering the performance of denoising algorithms and the identification of amplicon sequence variants (ASVs), we recommend DADA2 for analyzing 16S rRNA and 18S rRNA. For the ITS region, the choice is more nuanced, as Deblur identified the most ASVs and was compositionally similar to DADA2.
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.