Evidence map›Paper›PMID 31263569›Full record

ArticleNPJ biofilms and microbiomes

Primer-free FISH probes from metagenomics/metatranscriptomics data permit the study of uncharacterised taxa in complex microbial communities.

Shi Ming Tan, Pui Yi Maria Yung, Paul E Hutchinson, Chao Xie, Guo Hui Teo, Muhammad Hafiz Ismail, Daniela I Drautz-Moses, Peter F R Little, Rohan B H Williams, Yehuda Cohen

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Article in NPJ biofilms and microbiomes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Shi Ming Tan1Interdisciplinary Graduate School (IGS), Nanyang Technological University (NTU), Singapore, Singapore.ORCID 0000-0001-9572-6370
Pui Yi Maria Yung3St John's Island National Marine Laboratory (SJIMML), Tropical Marine Science Institute (TMSI), National University of Singapore (NUS), Singapore, Singapore.
Paul E Hutchinson4Centre for Life Sciences (CELS), National University of Singapore (NUS), Singapore, Singapore.ORCID 0000-0002-6618-5517
Chao Xie5Singapore Centre for Environmental Life Sciences Engineering (SCELSE), National University of Singapore (NUS), Singapore, Singapore.
Guo Hui Teo4Centre for Life Sciences (CELS), National University of Singapore (NUS), Singapore, Singapore.
Muhammad Hafiz Ismail2Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University (NTU), Singapore, Singapore.ORCID 0000-0002-2890-0444
Daniela I Drautz-Moses2Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University (NTU), Singapore, Singapore.
Peter F R Little4Centre for Life Sciences (CELS), National University of Singapore (NUS), Singapore, Singapore.
Rohan B H Williams5Singapore Centre for Environmental Life Sciences Engineering (SCELSE), National University of Singapore (NUS), Singapore, Singapore.
Yehuda Cohen2Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University (NTU), Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods for the study of member species in complex microbial communities remain a high priority, particularly for rare and/or novel member species that might play an important ecological role. Specifically, methods that link genomic information of member species with its spatial structure are lacking. This study adopts an integrative workflow that permits the characterisation of previously unclassified bacterial taxa from microbiomes through: (1) imaging of the spatial structure; (2) taxonomic classification and (3) genome recovery. Our study attempts to bridge the gaps between metagenomics/metatranscriptomics and high-resolution biomass imaging methods by developing new fluorescence in situ hybridisation (FISH) probes-termed as R-Probes-from shotgun reads that harbour hypervariable regions of the 16S rRNA gene. The sample-centric design of R-Probes means that probes can directly hybridise to OTUs as detected in shotgun sequencing surveys. The primer-free probe design captures larger microbial diversity as compared to canonical probes. R-Probes were designed from deep-sequenced RNA-Seq datasets for both FISH imaging and FISH-Fluorescence activated cell sorting (FISH-FACS). FISH-FACS was used for target enrichment of previously unclassified bacterial taxa prior to downstream multiple displacement amplification (MDA), genomic sequencing and genome recovery. After validation of the workflow on an axenic isolate of

Indexed as

MicrobiotaBacteriaDNA, BacterialDNA, RibosomalIn Situ Hybridization, FluorescenceMetagenomicsOptical ImagingPhylogenyRNA, Ribosomal, 16SSewageDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SSewageMetagenomicsNext-generation sequencingWater microbiology

Identifiers

PMID31263569
PMCPMC6592924

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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.