Evidence map›Paper›PMID 31238973›Full record

ArticleMicrobiome2019

Mining traits for the enrichment and isolation of not-yet-cultured populations.

An-Ni Zhang, Yanping Mao, Yubo Wang, Tong Zhang

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

An-Ni ZhangEnvironmental Biotechnology Laboratory, The University of Hong Kong, Hong Kong, China.
Yanping MaoEnvironmental Biotechnology Laboratory, The University of Hong Kong, Hong Kong, China.
Yubo WangEnvironmental Biotechnology Laboratory, The University of Hong Kong, Hong Kong, China.
Tong ZhangEnvironmental Biotechnology Laboratory, The University of Hong Kong, Hong Kong, China. zhangt@hku.hk.ORCID 0000-0003-1148-4322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of pure cultures limits our understanding into 99% of bacteria. Proper interpretation of the genetic and the transcriptional datasets can reveal clues for the enrichment and even isolation of the not-yet-cultured populations. Unraveling such information requires a proper mining method.

resultsHere, we present a method to infer the hidden traits for the enrichment of not-yet-cultured populations. We demonstrate this method using Candidatus Accumulibacter. Our method constructs a whole picture of the carbon, electron, and energy flows in the not-yet-cultured populations from the genomic datasets. Then, it decodes the coordination across three flows from the transcriptional datasets. Based on it, our method diagnoses the status of the not-yet-cultured populations and provides strategy to optimize the enrichment systems.

conclusionOur method could shed light to the exploration into the bacterial dark matter in the environments.

Indexed as

Genome, BacterialBetaproteobacteriaGene Expression ProfilingGenomicsMetabolic Networks and PathwaysPhylogenyBioinformatic pipelineEnrichment and isolationMetabolismsNot-yet-cultured bacteriaPan-genome analysis

Identifiers

PMID31238973
PMCPMC6593511

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.