Evidence map›Paper›PMID 41652859›Full record

ArticleEnvironmental microbiology reports2026

Comparison of Spatio-Temporal Dynamics and Composition in Size-Fractionated and Unfractionated Northwestern Atlantic Microbial Communities.

Diana Haider, Jennifer Tolman, Robert G Beiko, Julie LaRoche

Abstract readComparative Study
In one paragraph

Article in Environmental microbiology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Diana HaiderDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
Jennifer TolmanDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
Robert G BeikoFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Julie LaRocheDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.

Funding

Natural Sciences and Engineering Research Council of CanadaOcean Frontier Institute
6 · The paper itself

Abstract

Size fractionation, filtering water sequentially through a large (3 μm) and fine (0.2 μm) pore size filter, is a widely applied approach to target specific microbial size ranges, differentiating between particle-associated, and free-living microorganisms. To characterise its impact on microbial diversity and its comparability to unfractionated samples, we analysed 16 weekly ocean samples across five depths during a phytoplankton spring bloom. We used a universal marker to characterise prokaryotes, eukaryotes and chloroplasts in unfractionated (> 0.2 μm), fractionated (large > 3 μm, small 0.2-3 μm) and de-fractionated samples, the reconstitution of the small and large fractions. The particle-associated fraction was the most different community from all other samples, and de-fractionating before or after sequencing results in a community that is most similar to unfractionated samples in terms of composition and richness with the exception of very rare taxa. Across all depths and weeks, 75%-97% of ASVs were shared, but some discrepancies in relative abundances were unresolved, including for some lineages of free-living Bacteroidota. Community composition differences from size fractionation were more pronounced during the bloom period in comparison to pre-bloom. Differential-abundance analysis detected at most one significantly different ASV between fractionated and de-fractionated samples, highlighting the similarity in community composition and temporal dynamics between the fractionated and de-fractionated sets.

Indexed as

BacteriaMicrobiotaSeawaterAtlantic OceanBiodiversityChloroplastsEukaryotaPhytoplanktonSpatio-Temporal Analysisamplicon sequencingfiltration methodologymicrobial communitysize fractionation

Identifiers

PMID41652859
PMCPMC12881702

What OpenQuestion holds

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Registered trials

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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.