Evidence map›Paper›PMID 24759094›Full record

ArticleScientific reports2014

Single cell genome analysis of an uncultured heterotrophic stramenopile.

Rajat S Roy, Dana C Price, Alexander Schliep, Guohong Cai, Anton Korobeynikov, Hwan Su Yoon, Eun Chan Yang, Debashish Bhattacharya

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  9. A single-cell genome reveals diplonemid-like ancestry of kinetoplastid mitochondrial gene structure.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  10. Combining morphology, behaviour and genomics to understand the evolution and ecology of microbial eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  11. Single cell ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  12. A single-cell genome perspective on studying intracellular associations in unicellular eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  13. The need to account for cell biology in characterizing predatory mixotrophs in aquatic environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  14. Entities inside one another - a matryoshka doll in biology?Environmental microbiology reports · 2019
    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

8 authors.

Rajat S Roy1] Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA [2] Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA.
Dana C PriceDepartment of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA.
Alexander Schliep1] Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA [2] BioMaPS Institute for Quantitative Biology, Rutgers University, Piscataway, NJ 08854, USA.
Guohong CaiDepartment of Plant Biology and Pathology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ 08901, USA.
Anton Korobeynikov1] Faculty of Mathematics and Mechanics, Department of Statistical Modeling, Saint Petersburg State University, Universitetskiy 28, 198504, Stary Peterhof, Saint Petersburg, Russia [2] Algorithmic Biology Laboratory, Saint Petersburg Academic University, Khlopina 8/3, 194021, Saint Petersburg, Russia.
Hwan Su YoonDepartment of Biological Sciences, Sungkyunkwan University, Suwon 440-746, Korea.
Eun Chan YangMarine Ecosystem Research Division, Korea Institute of Ocean Science and Technology, Ansan 426-744, Korea.
Debashish BhattacharyaDepartment of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A broad swath of eukaryotic microbial biodiversity cannot be cultivated in the lab and is therefore inaccessible to conventional genome-wide comparative methods. One promising approach to study these lineages is single cell genomics (SCG), whereby an individual cell is captured from nature and genome data are produced from the amplified total DNA. Here we tested the efficacy of SCG to generate a draft genome assembly from a single sample, in this case a cell belonging to the broadly distributed MAST-4 uncultured marine stramenopiles. Using de novo gene prediction, we identified 6,996 protein-encoding genes in the MAST-4 genome. This genetic inventory was sufficient to place the cell within the ToL using multigene phylogenetics and provided preliminary insights into the complex evolutionary history of horizontal gene transfer (HGT) in the MAST-4 lineage.

Indexed as

GenomicsSingle-Cell AnalysisBiodiversityComputational BiologyPhylogenyProteomeProteomicsRNA, Ribosomal, 18SSeawaterStramenopilesProteomeRNA, Ribosomal, 18S

Identifiers

PMID24759094
PMCPMC3998028

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.