Evidence map›Paper›PMID 21626367›Full record

ArticleMarine biotechnology (New York, N.Y.)2012

Distribution of microfossils within polymetallic nodules: biogenic clusters within manganese layers.

Xiaohong Wang, Lu Gan, Matthias Wiens, Ute Schlossmacher, Heinz C Schröder, Werner E G Müller

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Article in Marine biotechnology (New York, N.Y.), 2012. 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

6 authors.

Xiaohong WangNational Research Center for Geoanalysis, 26 Baiwanzhuang Dajie, Beijing 100037, China. wxh0408@hotmail.com
Lu Gan
Matthias Wiens
Ute Schlossmacher
Heinz C Schröder
Werner E G Müller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomineralization is the process by which living organisms or organic matrices produced by them initiate and structure deposition of inorganic polymers/minerals. Deep-sea polymetallic nodules and crusts have recently been recognized as biominerals that are formed around bio-seeds; these deposits are of economic value. A detailed understanding of their formation will contribute to their sustainable exploitation in the future. Polymetallic nodules grow concentrically around discrete nuclei that have recently been described as bio-seeds formed from microorganisms, diatoms, or coccoliths. In the present study, polymetallic nodules from the Clarion-Clipperton Zone have been analyzed. It is described that the approximately 5-cm large polymetallic nodules are composed of micronodules (size of 100-450 μm) that aggregated to nests (2-3 mm). High-resolution scanning electron microscopy (HR-SEM) and high-resolution energy dispersive X-ray (HR-EDX) spectroscopic analyses revealed that the micronodules are composed of discrete layers of Mn and Fe. Imprints of microorganisms/microbe-like assemblies are found in the Mn-rich regions of the micronodules. HR-SEM/EDX analyses confirmed that these microorganisms are surrounded by a Mn-rich environment. These findings strongly suggest that those organisms acted as bio-seeds that allowed the deposition of Mn(IV) minerals which in turn helped Fe minerals to associate. Hence, these data support the concept that the growth of the polymetallic nodules starts as a biomineral and is completed by genuine mineralic depositions. It is expected that these data will contribute to the development of strategies for a sustainable exploitation of the polymetallic nodules.

Indexed as

FossilsGeological PhenomenaManganeseAnimalsIronMicroscopy, ElectronOceans and SeasPoriferaIronManganese

Identifiers

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Textmetadata
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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.