Evidence map›Paper›PMID 29043294›Full record

ArticleScience advances2017

Integrating networks and comparative genomics reveals retroelement proliferation dynamics in hominid genomes.

Orr Levy, Binyamin A Knisbacher, Erez Y Levanon, Shlomo Havlin

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.1field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 1 institution in 1 country.

Orr LevyDepartment of Physics, Bar-Ilan University, Ramat Gan 52900, Israel.ORCID 0000-0001-5646-0370
Binyamin A KnisbacherThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel.ORCID 0000-0002-4962-9956
Erez Y LevanonThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel.ORCID 0000-0002-3641-4198
Shlomo HavlinDepartment of Physics, Bar-Ilan University, Ramat Gan 52900, Israel.ORCID 0000-0002-9974-5920
Bar-Ilan University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retroelements (REs) are mobile DNA sequences that multiply and spread throughout genomes by a copy-and-paste mechanism. These parasitic elements are active in diverse genomes, from yeast to humans, where they promote diversity, cause disease, and accelerate evolution. Because of their high copy number and sequence similarity, studying their activity and tracking their proliferation dynamics is a challenge. It is particularly difficult to pinpoint the few REs in a genome that are still active in the haystack of degenerate and suppressed elements. We develop a computational framework based on network theory that tracks the path of RE proliferation throughout evolution. We analyze SVA (SINE-VNTR-Alu), the youngest RE family in human genomes, to understand RE dynamics across hominids. Integrating comparative genomics and network tools enables us to track the course of SVA proliferation, identify yet unknown active communities, and detect tentative "master REs" that played key roles in SVA propagation, providing strong support for the fundamental "master gene" model of RE proliferation. The method is generic and thus can be applied to REs of any of the thousands of available genomes to identify active RE communities and master REs that were pivotal in the evolution of their host genomes.

Indexed as

Genome, HumanGenomicsRetroelementsAlu ElementsAnimalsCluster AnalysisEvolution, MolecularHominidaeHumansMinisatellite RepeatsRetroelements

Identifiers

PMID29043294
PMCPMC5640379
OpenAlexW2762065038

What OpenQuestion holds

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LicenceCC BY-NC
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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.