Evidence map›Paper›PMID 28090377›Full record

ReviewMobile genetic elements2016

Ordered orthology as a tool in prokaryotic evolutionary inference.

Sagi Snir

Abstract readReview
In one paragraph

Review in Mobile genetic elements, 2016. 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
–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

0 citing papers in PubMed.

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

1 author.

Sagi SnirDepartment of Evolutionary Biology, University of Haifa , Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular data is accumulated at exponentially increasing pace. This deluge of information should have brought us closer to resolving one of the most fundamental issues in biology - deciphering the history of life on Earth. So far, however, this abundance of data only seems to blur our understanding of the problem. This is largely due to horizontal gene transfer (HGT), the transfer of genetic material between evolutionarily unrelated organisms that transforms the prokaryotic tree into a network of relationships. Recently, we developed a method to infer evolutionary relationships among closely related species where the conventional evolutionary markers do not provide a strong enough signal. The method relies on the loss of synteny, gene order conservation among species that provides a stronger signal, sufficient to classify even strains of a given species. Here we elaborate on this method and suggest further uses of it in the context of detecting HGT events and genome architecture.

Indexed as

genome architecturehorizontal gene transferphylogeneticssyntenytree of life

Identifiers

PMID28090377
PMCPMC5173270

What OpenQuestion holds

Textmetadata
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.