English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The ongoing global pandemic of infection disease COVID-19 caused by the 2019novel coronavirus (SARS-COV-2, formerly 2019-nCoV) presents critical threats topublic health and the economy since it was identified in China, December 2019.The genome of SARS-CoV-2 had been sequenced and structurally annotated, yetlittle is known of the intrinsic organization and evolution of the genome. Tothis end, we present a mathematical method for the genomic spectrum, a kind ofbarcode, of SARS-CoV-2 and common human coronaviruses. The genomic spectrum isconstructed according to the periodic distributions of nucleotides, andtherefore reflects the unique characteristics of the genome. The resultsdemonstrate that coronavirus SARS-CoV-2 exhibits dinucleotide TT islands in thenon-structural proteins 3, 4, 5, and 6. Further analysis of the dinucleotideregions suggests that the dinucleotide repeats are increased during evolutionand may confer the evolutionary fitness of the virus. The special dinucleotideregions in the SARS-CoV-2 genome identified in this study may become diagnosticand pharmaceutical targets in monitoring and curing the COVID-19 disease.

Dinucleotide repeats in coronavirus SARS-CoV-2 genome: evolutionary implications