A new lineage nomenclature to aid genomic surveillance of dengue virus

Hill, Verity;Cleemput, Sara;Pereira, James Siqueira;Gifford, Robert J.;Fonseca, Vagner;Tegally, Houriiyah;Brito, Anderson F.;Ribeiro, Gabriela;de Souza, Vinicius Carius;Brcko, Isabela Carvalho;Ribeiro, Igor Santana;De Lima, Iago Trezena Tavares;Slavov, Svetoslav Nanev;Sampaio, Sandra Coccuzzo;Carolina Elias, Maria;Tran, Thuy-Vi;Kien, Duong Thi Hue;Huynh, Tuyen;Yacoub, Sophie;Dieng, Idrissa;Salvato, Richard;Wallau, Gabriel Luz;Gregianini, Tatiana S.;Godinho, Fernanda M. S.;Vogels, Chantal B. F.;Breban, Mallery I.;Leguia, Mariana;Jagtap, Suraj;Roy, Rahul;Hapuarachchi, Chanditha;Mwanyika, Gaspary;Giovanetti, Marta;Alcantara, Luiz C. J.;R. Faria, Nuno;Carrington, Christine V. F.;Hanley, Kathryn A.;Holmes, Edward C.;Dumon, Wim;Lima, Alex Ranieri Jerônimo;de Oliveira, Tulio;D. Grubaugh, Nathan

Description

Dengue virus (DENV) is currently causing epidemics of unprecedented scope in endemic settings and expanding to new geographical areas. It is therefore critical to track this virus using genomic surveillance. However, the complex patterns of viral genomic diversity make it challenging to use the existing genotype classification system. Here, we propose adding 2 sub-genotypic levels of virus classification, named major and minor lineages. These lineages have high thresholds for phylogenetic distance and clade size, rendering them stable between phylogenetic studies. We present assignment tools to show that the proposed lineages are useful for regional, national, and subnational discussions of relevant DENV diversity. Moreover, the proposed lineages are robust to classification using partial genome sequences. We provide a standardized neutral descriptor of DENV diversity with which we can identify and track lineages of potential epidemiological and/or clinical importance. Information about our lineage system, including methods to assign lineages to sequence data and propose new lineages, can be found at: dengue-lineages.org.

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Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

65%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

SUNScholarData

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

65%

Source

Open Alex

Keywords

GenomicsOther health sciences not elsewhere classifiedPublic health not elsewhere classified

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00