Evidence map›Paper›PMID 33225572›Full record

ArticleEnvironmental microbiology reports2021

Sessile bacterium unlocks ability of surface motility through mutualistic interspecies interaction.

Miaoxiao Wang, Shuang Geng, Bing Hu, Yong Nie, Xiao-Lei Wu

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2021. 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

5 authors.

Miaoxiao WangCollege of Engineering, Peking University, Beijing, 100871, China.ORCID 0000-0002-4636-0058
Shuang GengCollege of Engineering, Peking University, Beijing, 100871, China.
Bing HuCollege of Engineering, Peking University, Beijing, 100871, China.
Yong NieCollege of Engineering, Peking University, Beijing, 100871, China.ORCID 0000-0002-5940-1218
Xiao-Lei WuCollege of Engineering, Peking University, Beijing, 100871, China.ORCID 0000-0002-9897-6903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to their common planktonic lifestyle, bacteria frequently live in surface-associated habitats. Surface motility is essential for exploring these habitats for food sources. However, many bacteria are found on surfaces, even though they lack features required for migrating along surfaces. How these canonical non-motile bacteria adapt to the environmental fluctuations on surfaces remains unknown. Here, we report a previously unknown surface motility mode of the canonical non-motile bacterium, Dietzia sp. DQ12-45-1b, which is triggered by interaction with a dimorphic prosthecate bacterium, Glycocaulis alkaliphilus 6B-8T. Dietzia cells exhibits 'sliding'-like motility in an area where the strain Glycocaulis cells was pre-colonized with a sufficient density. Our analysis also demonstrates that Dietzia degrade n-alkanes and provide Glycocaulis with the resulting metabolites for survival, which in turn induced directional migration of Dietzia towards nutrient-rich environments. Such interaction-triggered migration was also found between Dietzia and Glycocaulis strains isolated from other habitats, suggesting that this mutualistic relationship ubiquitously occurs in natural environments. In conclusion, we propose a novel model for such a 'win-win' strategy, whereby non-motile bacteria pay metabolites to dimorphic prosthecate bacteria in return for migrating to seek for nutrients, which may represent a common strategy for canonically non-motile bacteria living on a surface.

Indexed as

ActinomycetalesAlkanesAlkanes

Identifiers

PMID33225572
PMCPMC7984234

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.