Líbia Zé-Zé

Dr. Líbia Zé-Zé

National Institute of Health Doutor Ricardo Jorge
orcid
Researcher - Vector borne viruses

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
29 March 2022 in Evolution, Medicine, and Public Health
Verified
Journal Article
Open access
PDF file
MAMassimo Amicone
Massimo Amicone
VBVítor Borges
Vítor Borges
MAMaria João Alves
Maria João Alves
JIJoana Isidro
Joana Isidro
Líbia Zé-ZéLíbia Zé-Zé
Líbia Zé-Zé
IGIsabel Gordo
Isabel Gordo
To understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 in vitro and investigated the repeatability of its evolution when facing a new cell type but no immune or drug pressures. We performed experimental evolution with two strains of SARS-CoV-2, one carrying the originally described spike protein (CoV-2-D) and another carrying the D614G mutation that has spread worldwide (CoV-2-G). After 15 passages in Vero cells and whole genome sequencing, we characterized the spectrum and rate of the emerging mutations and looked for evidences of selection across the genomes of both strains. From the frequencies of the mutations accumulated, and excluding the genes with signals of selection, we estimate a spontaneous mutation rate of 1.3 × 10−6 ± 0.2 × 10−6 per-base per-infection cycle (mean across both lineages of SARS-CoV-2 ± 2SEM). We further show that mutation accumulation is larger in the CoV-2-D lineage and heterogeneous along the genome, consistent with the action of positive selection on the spike protein, which accumulated five times more mutations than the corresponding genomic average. We also observe the emergence of mutators in the CoV-2-G background, likely linked to mutations in the RNA-dependent RNA polymerase and/or in the error-correcting exonuclease protein. These results provide valuable information on how spontaneous mutations emerge in SARS-CoV-2 and on how selection can shape its genome toward adaptation to new environments. Lay Summary: Each time a virus replicates inside a cell, errors (mutations) occur. Here, via laboratory propagation in cells originally isolated from the kidney epithelium of African green monkeys, we estimated the rate at which the SARS-CoV-2 virus mutates—an important parameter for understanding how it can evolve within and across humans. We also confirm the potential of its Spike protein to adapt to a new environment and report the emergence of mutators—viral populations where mutations occur at a significantly faster rate.

1 March 2014 in Comparative Immunology, Microbiology and Infectious Diseases
Verified
Journal Article
Closed access
CCC.L. Carvalho
C.L. Carvalho
ICIsabel Lopes de Carvalho
Isabel Lopes de Carvalho
Líbia Zé-ZéLíbia Zé-Zé
Líbia Zé-Zé
MNMaria Sofia Núncio
Maria Sofia Núncio
EDElsa Leclerc Duarte
Elsa Leclerc Duarte

1 October 2019 in The Lancet Infectious Diseases
Verified
Journal Article
Open access
SHSarah C. Hill
Sarah C. Hill
JVJocelyne Vasconcelos
Jocelyne Vasconcelos
ZNZoraima Neto
Zoraima Neto
DJDomingos Jandondo
Domingos Jandondo
Líbia Zé-ZéLíbia Zé-Zé
Líbia Zé-Zé
NFNuno Rodrigues Faria
Nuno Rodrigues Faria
Zika virus infections and suspected microcephaly cases have been reported in Angola since late 2016, but no data are available about the origins, epidemiology, and diversity of the virus. We aimed to investigate the emergence and circulation of Zika virus in Angola. Diagnostic samples collected by the Angolan Ministry of Health as part of routine arboviral surveillance were tested by real-time reverse transcription PCR by the Instituto Nacional de Investigação em Saúde (Ministry of Health, Luanda, Angola). To identify further samples positive for Zika virus and appropriate for genomic sequencing, we also tested samples from a 2017 study of people with HIV in Luanda. Portable sequencing was used to generate Angolan Zika virus genome sequences from three people positive for Zika virus infection by real-time reverse transcription PCR, including one neonate with microcephaly. Genetic and mobility data were analysed to investigate the date of introduction and geographical origin of Zika virus in Angola. Brain CT and MRI, and serological assays were done on a child with microcephaly to confirm microcephaly and assess previous Zika virus infection. Serum samples from 54 people with suspected acute Zika virus infection, 76 infants with suspected microcephaly, 24 mothers of infants with suspected microcephaly, 336 patients with suspected dengue virus or chikungunya virus infection, and 349 samples from the HIV study were tested by real-time reverse transcription PCR. Four cases identified between December, 2016, and June, 2017, tested positive for Zika virus. Analyses of viral genomic and human mobility data suggest that Zika virus was probably introduced to Angola from Brazil between July, 2015, and June, 2016. This introduction probably initiated local circulation of Zika virus in Angola that continued until at least June, 2017. The infant with microcephaly in whom CT and MRI were done had brain abnormalities consistent with congenital Zika syndrome and serological evidence for Zika virus infection. Our analyses show that autochthonous transmission of the Asian lineage of Zika virus has taken place in Africa. Zika virus surveillance and surveillance of associated cases of microcephaly throughout the continent is crucial. Royal Society, Wellcome Trust, Global Challenges Research Fund (UK Research and Innovation), Africa Oxford, John Fell Fund, Oxford Martin School, European Research Council, Departamento de Ciência e Tecnologia/Ministério da Saúde/National Council for Scientific and Technological Development, and Ministério da Educação/Coordenação de Aperfeicoamento de Pessoal de Nível Superior.


7 February 2013 in Eurosurveillance
Verified
Journal Article
Open access
MAMaria João Alves
Maria João Alves
PFP L Fernandes
P L Fernandes
FAF Amaro
F Amaro
HOHugo Costa Osório
Hugo Costa Osório
TLT Luz
T Luz
HZH Zeller
H Zeller
Binary file ES_Abstracts_Final_ECDC.txt matches

1 June 2016 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
Mattia CalzolariMattia Calzolari
Mattia Calzolari
Líbia Zé-ZéLíbia Zé-Zé
Líbia Zé-Zé
AVAna Vázquez
Ana Vázquez
MSMaria Paz DE SALUD Sanchez-Seco
Maria Paz DE SALUD Sanchez-Seco
FAFátima Amaro
Fátima Amaro
MDMichele Dottori
Michele Dottori