Evidence map›Paper›PMID 30429307›Full record

ArticleProceedings. Biological sciences2018

Microbial-tubeworm associations in a 440 million year old hydrothermal vent community.

Magdalena N Georgieva, Crispin T S Little, Russell J Bailey, Alexander D Ball, Adrian G Glover

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

5 authors at 3 institutions in 1 country.

Magdalena N GeorgievaLife Sciences Department, Natural History Museum, London, UK m.georgieva@nhm.ac.uk.ORCID 0000-0002-1129-0571
Crispin T S LittleSchool of Earth and Environment, University of Leeds, Leeds, UK.
Russell J BaileyThe NanoVision Centre, Queen Mary University of London, London, UK.
Alexander D BallImaging and Analysis Centre, Natural History Museum, London, UK.
Adrian G GloverLife Sciences Department, Natural History Museum, London, UK.
Natural History Museum · GBQueen Mary University of London · GBUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms are the chief primary producers within present-day deep-sea hydrothermal vent ecosystems, and play a fundamental role in shaping the ecology of these environments. However, very little is known about the microbes that occurred within, and structured, ancient vent communities. The evolutionary history, diversity and the nature of interactions between ancient vent microorganisms and hydrothermal vent animals are largely undetermined. The oldest known hydrothermal vent community that includes metazoans is preserved within the Ordovician to early Silurian Yaman Kasy massive sulfide deposit, Ural Mountains, Russia. This deposit contains two types of tube fossil attributed to annelid worms. A re-examination of these fossils using a range of microscopy, chemical analysis and nano-tomography techniques reveals the preservation of filamentous microorganisms intimately associated with the tubes. The microfossils bear a strong resemblance to modern hydrothermal vent microbial filaments, including those preserved within the mineralized tubes of the extant vent polychaete genus

Indexed as

FossilsAnimalsArchaeaBacterial Physiological PhenomenaBiological EvolutionHydrothermal VentsMicrobiotaPolychaetachemosynthesisearly lifefossilmicrofossilpyritesymbiosis

Identifiers

PMID30429307
PMCPMC6253371
OpenAlexW2901589210

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.