Evidence map›Paper›PMID 32339222›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2020

Evolutionary selection against short nucleotide sequences in viruses and their related hosts.

Yoram Zarai, Zohar Zafrir, Bunpote Siridechadilok, Amporn Suphatrakul, Modi Roopin, Justin Julander, Tamir Tuller

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 8 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

7 authors at 3 institutions in 3 countries.

Yoram ZaraiBiomedical Engineering Department, Tel Aviv University, Tel Aviv 69978, Israel.
Zohar ZafrirBiomedical Engineering Department, Tel Aviv University, Tel Aviv 69978, Israel.
Bunpote SiridechadilokNational Center for Genetic Engineering and Biotechnology, Pathumthani 12120, Thailand.
Amporn SuphatrakulNational Center for Genetic Engineering and Biotechnology, Pathumthani 12120, Thailand.
Modi RoopinBiomedical Engineering Department, Tel Aviv University, Tel Aviv 69978, Israel.
Justin JulanderInstitute for Antiviral Research, Utah State University, Logan, UT, USA.
Tamir TullerBiomedical Engineering Department, Tel Aviv University, Tel Aviv 69978, Israel.
Tel Aviv University · ILNational Center for Genetic Engineering and Biotechnology · THUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are under constant evolutionary pressure to effectively interact with the host intracellular factors, while evading its immune system. Understanding how viruses co-evolve with their hosts is a fundamental topic in molecular evolution and may also aid in developing novel viral based applications such as vaccines, oncologic therapies, and anti-bacterial treatments. Here, based on a novel statistical framework and a large-scale genomic analysis of 2,625 viruses from all classes infecting 439 host organisms from all kingdoms of life, we identify short nucleotide sequences that are under-represented in the coding regions of viruses and their hosts. These sequences cannot be explained by the coding regions' amino acid content, codon, and dinucleotide frequencies. We specifically show that short homooligonucleotide and palindromic sequences tend to be under-represented in many viruses probably due to their effect on gene expression regulation and the interaction with the host immune system. In addition, we show that more sequences tend to be under-represented in dsDNA viruses than in other viral groups. Finally, we demonstrate, based on in vitro and in vivo experiments, how under-represented sequences can be used to attenuated Zika virus strains.

Indexed as

Biological CoevolutionEvolution, MolecularGenome, ViralNucleotide MotifsSelection, GeneticAnimalsBacteriaFemaleFungiHost-Pathogen InteractionsMaleMiceOligonucleotidesPlantsSystems BiologyZika VirusOligonucleotidessystems-biologyunder-represented sequencesvirus–host co-evolutionZika virus

Identifiers

PMID32339222
PMCPMC7320823
OpenAlexW3019468855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.