Evidence map›Paper›PMID 38086912›Full record

ArticleScientific reports2023

A laboratory ice machine as a cold oligotrophic artificial microbial niche for biodiscovery.

Leila Satari, Daniel Torrent, Asier Ortega-Legarreta, Adriel Latorre-Pérez, Javier Pascual, Manuel Porcar, Alba Iglesias

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Leila SatariInstitute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Paterna, Spain.
Daniel TorrentDarwin Bioprospecting Excellence S.L., Paterna, Spain.
Asier Ortega-LegarretaDarwin Bioprospecting Excellence S.L., Paterna, Spain.
Adriel Latorre-PérezDarwin Bioprospecting Excellence S.L., Paterna, Spain.
Javier PascualDarwin Bioprospecting Excellence S.L., Paterna, Spain.
Manuel PorcarInstitute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Paterna, Spain.
Alba IglesiasInstitute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Paterna, Spain. alba.iglesias@uv.es.
Universitat de València · ESInstitute for Integrative Systems Biology · ES

Funding

European CSA on biological standardization BIOROBOOST 820699European Union's Horizon 2020 research and innovation program ID101000470Helios project BIO2015-66960-C3-1-RMinisterio de Ciencia, Innovación y Universidades DI-17-09613Programación Conjunta Internacional 2019, AEI PCI2019-111845-2Spanish Government RTI2018-095584-B-C41-42-43-44
6 · The paper itself

Abstract

Microorganisms are ubiquitously distributed in nature and usually appear as biofilms attached to a variety of surfaces. Here, we report the development of a thick biofilm in the drain pipe of several standard laboratory ice machines, and we describe and characterise, through culture-dependent and -independent techniques, the composition of this oligotrophic microbial community. By using culturomics, 25 different microbial strains were isolated and taxonomically identified. The 16S rRNA high-throughput sequencing analysis revealed that Bacteroidota and Proteobacteria were the most abundant bacterial phyla in the sample, followed by Acidobacteriota and Planctomycetota, while ITS high-throughput sequencing uncovered the fungal community was clearly dominated by the presence of a yet-unidentified genus from the Didymellaceae family. Alpha and beta diversity comparisons of the ice machine microbial community against that of other similar cold oligotrophic and/or artificial environments revealed a low similarity between samples, highlighting the ice machine could be considered a cold and oligotrophic niche with a unique selective pressure for colonisation of particular microorganisms. The recovery and analysis of high-quality metagenome-assembled genomes (MAGs) yielded a strikingly high rate of new species. The functional profiling of the metagenome sequences uncovered the presence of proteins involved in extracellular polymeric substance (EPS) and fimbriae biosynthesis and also allowed us to detect the key proteins involved in the cold adaptation mechanisms and oligotrophic metabolic pathways. The metabolic functions in the recovered MAGs confirmed that all MAGs have the genes involved in psychrophilic protein biosynthesis. In addition, the highest number of genes for EPS biosynthesis was presented in MAGs associated with the genus Sphingomonas, which was also recovered by culture-based method. Further, the MAGs with the highest potential gene number for oligotrophic protein production were closely affiliated with the genera Chryseoglobus and Mycobacterium. Our results reveal the surprising potential of a cold oligotrophic microecosystem within a machine as a source of new microbial taxa and provide the scientific community with clues about which microorganisms are able to colonise this ecological niche and what physiological mechanisms they develop. These results pave the way to understand how and why certain microorganisms can colonise similar anthropogenic environments.

Indexed as

BacteriaBiofilmsEquipment ContaminationExtracellular Polymeric Substance MatrixIceBiofoulingMetagenomeRNA, Ribosomal, 16SIceRNA, Ribosomal, 16S

Identifiers

PMID38086912
PMCPMC10716499
OpenAlexW4389607910

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.