Evidence map›Paper›PMID 23645202›Full record

ArticleApplied and environmental microbiology2013

Insights into the structure and metabolic function of microbes that shape pelagic iron-rich aggregates ("iron snow").

Shipeng Lu, Karuna Chourey, Marco Reiche, Sandor Nietzsche, Manesh B Shah, Thomas R Neu, Robert L Hettich, Kirsten Küsel

Abstract read
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Article in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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0cells of the map it votes in
22citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  5. Draft Genome Sequences ofMicrobiology resource announcements · 2021
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shipeng LuInstitute of Ecology, Friedrich Schiller University Jena, Jena, Germany.
Karuna Chourey
Marco Reiche
Sandor Nietzsche
Manesh B Shah
Thomas R Neu
Robert L Hettich
Kirsten Küsel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial ferrous iron [Fe(II)] oxidation leads to the formation of iron-rich macroscopic aggregates ("iron snow") at the redoxcline in a stratified lignite mine lake in east-central Germany. We aimed to identify the abundant Fe-oxidizing and Fe-reducing microorganisms likely to be involved in the formation and transformation of iron snow present in the redoxcline in two basins of the lake that differ in their pH values. Nucleic acid- and lipid-stained microbial cells of various morphologies detected by confocal laser scanning microscopy were homogeneously distributed in all iron snow samples. The dominant iron mineral appeared to be schwertmannite, with shorter needles in the northern than in the central basin samples. Total bacterial 16S rRNA gene copies ranged from 5.0 × 10(8) copies g (dry weight)(-1) in the acidic central lake basin (pH 3.3) to 4.0 × 10(10) copies g (dry weight)(-1) in the less acidic (pH 5.9) northern basin. Total RNA-based quantitative PCR assigned up to 61% of metabolically active microbial communities to Fe-oxidizing- and Fe-reducing-related bacteria, indicating that iron metabolism was an important metabolic strategy. Molecular identification of abundant groups suggested that iron snow surfaces were formed by chemoautotrophic iron oxidizers, such as Acidimicrobium, Ferrovum, Acidithiobacillus, Thiobacillus, and Chlorobium, in the redoxcline and were rapidly colonized by heterotrophic iron reducers, such as Acidiphilium, Albidiferax-like, and Geobacter-like groups. Metaproteomics yielded 283 different proteins from northern basin iron snow samples, and protein identification provided a glimpse into some of their in situ metabolic processes, such as primary production (CO2 fixation), respiration, motility, and survival strategies.

Indexed as

BacteriaBiotaDNA, BacterialGermanyIron CompoundsLakesMicroscopy, ConfocalMicroscopy, Electron, ScanningMolecular Sequence DataOxidation-ReductionPhylogenyProteomicsReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSpectrometry, X-Ray EmissionDNA, BacterialIron CompoundsRNA, Ribosomal, 16S

Identifiers

PMID23645202
PMCPMC3697501

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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.