Evidence map›Paper›PMID 27199923›Full record

ArticleFrontiers in microbiology2016

Bacterioplankton Biogeography of the Atlantic Ocean: A Case Study of the Distance-Decay Relationship.

Mathias Milici, Jürgen Tomasch, Melissa L Wos-Oxley, Johan Decelle, Ruy Jáuregui, Hui Wang, Zhi-Luo Deng, Iris Plumeier, Helge-Ansgar Giebel, Thomas H Badewien and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

14 authors.

Mathias MiliciGroup Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany.
Jürgen TomaschGroup Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany.
Melissa L Wos-OxleyGroup Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany.
Johan DecelleUMR 7144 - Sorbonne Universités, UPMC Univ Paris 06, Station Biologique de RoscoffRoscoff, France; Centre National de la Recherche Scientifique, UMR 7144, Station Biologique de RoscoffRoscoff, France.
Ruy JáureguiGroup Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany.
Hui WangGroup Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany.
Zhi-Luo DengGroup Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany.
Iris PlumeierGroup Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany.
Helge-Ansgar GiebelDepartment of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany.
Thomas H BadewienDepartment of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany.
Mascha WurstDepartment of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany.
Dietmar H PieperDepartment of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany.
Meinhard SimonDepartment of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany.
Irene Wagner-DöblerGroup Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to determine the influence of geographical distance, depth, and Longhurstian province on bacterial community composition and compare it with the composition of photosynthetic micro-eukaryote communities, 382 samples from a depth-resolved latitudinal transect (51°S-47°N) from the epipelagic zone of the Atlantic ocean were analyzed by Illumina amplicon sequencing. In the upper 100 m of the ocean, community similarity decreased toward the equator for 6000 km, but subsequently increased again, reaching similarity values of 40-60% for samples that were separated by ~12,000 km, resulting in a U-shaped distance-decay curve. We conclude that adaptation to local conditions can override the linear distance-decay relationship in the upper epipelagial of the Atlantic Ocean which is apparently not restrained by barriers to dispersal, since the same taxa were shared between the most distant communities. The six Longhurstian provinces covered by the transect were comprised of distinct microbial communities; ~30% of variation in community composition could be explained by province. Bacterial communities belonging to the deeper layer of the epipelagic zone (140-200 m) lacked a distance-decay relationship altogether and showed little provincialism. Interestingly, those biogeographical patterns were consistently found for bacteria from three different size fractions of the plankton with different taxonomic composition, indicating conserved underlying mechanisms. Analysis of the chloroplast 16S rRNA gene sequences revealed that phytoplankton composition was strongly correlated with both free-living and particle associated bacterial community composition (R between 0.51 and 0.62, p < 0.002). The data show that biogeographical patterns commonly found in macroecology do not hold for marine bacterioplankton, most likely because dispersal and evolution occur at drastically different rates in bacteria.

Indexed as

bacterioplanktonbiogeographydistance-decay relationshipmacroecologymarine bacteriamicroalgaeoceanographic provinceParticle associated bacteria

Identifiers

PMID27199923
PMCPMC4845060

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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.