Evidence map›Paper›PMID 40881282›Full record

ArticleFrontiers in microbiology2025

Temporal dynamics of SARS-CoV-2 phylogenetic diversity in Central Brazil reveals evolutionary shifts among variants of concern during the pandemic.

José Alexandre Felizola Diniz-Filho, Rhewter Nunes, Cintia Pelegrineti Targueta, Ramilla Dos Santos Braga Ferreira, Amanda Melo-Ximenes, Renata de Oliveira Dias, Juliana Santana de Curcio, Daniela Melo E Silva, Menira Borges de L Dias E Souza, Fabíola Souza Fiaccadori and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

14 authors.

José Alexandre Felizola Diniz-FilhoDepartamento de Ecologia, Instituto de Ciências Biológicas, Goiânia, Brazil.
Rhewter NunesUniversidade Estadual de Goiás, Unidade Universitária de Iporá, Iporá, Brazil.
Cintia Pelegrineti TarguetaDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Ramilla Dos Santos Braga FerreiraInstituto de Ciências Exatas e Naturais, Universidade Federal de Rondonópolis, Rondonopolis, Brazil.
Amanda Melo-XimenesDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Renata de Oliveira DiasDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Juliana Santana de CurcioDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Daniela Melo E SilvaDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Menira Borges de L Dias E SouzaDepartamento de Biociências e Tecnologia (Microbiologia), Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiás, Brazil.
Fabíola Souza FiaccadoriDepartamento de Biociências e Tecnologia (Microbiologia), Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiás, Brazil.
Elisângela de Paula Silveira LacerdaDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
Cristiana Maria ToscanoDepartamento de Saúde Coletiva, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Brazil.
Thiago Fernando RangelDepartamento de Ecologia, Instituto de Ciências Biológicas, Goiânia, Brazil.
Mariana Pires de Campos TellesDepartamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has led to substantial health, economic, and social impacts worldwide, and now, after more than 5 years since the start of the pandemic, it is possible to retrospectively evaluate patterns of SARS-CoV-2 spread and its consequences. Here we investigate the temporal dynamics of SARS-CoV-2 phylogenetic diversity in Goiás State, Central Brazil, using genomic data from 8,937 viral sequences obtained from GISAID between March 2020 and October 2024. Phylogenetic diversity was assessed through median pairwise distances (MedPD) and phylogenetic eigenvector regression (PVR) derived from principal coordinate analysis (PCoA) of pairwise distances among sequences. Results show evolutionary shifts associated with the emergence of new variants of concern (VOCs), particularly Gamma and Omicron, corresponding to distinct peaks in phylogenetic diversity through time. The initial rise in MedPD coincided with the Gamma variant's emergence in early 2021, while a more pronounced peak followed the spread of the Omicron variant in late 2021. Although a third peak appeared in late 2023, it was based on smaller sample sizes and did not correspond to a major VOC. Moreover, the temporal dynamics of MedPD tends to mirror the epidemiological characterization of the epidemic over time, including morbidity and mortality, reflecting the impact of vaccination in the disease burden of subsequent variants. The strong phylogenetic signal over time, reflected in the first PCoA axis, highlights the evolutionary trajectory of the virus. This study illustrates how genomic surveillance provides critical insights into viral diversification and public health responses during pandemics.

Indexed as

GISAIDmean pairwise distancesphylogenetic comparative analysesphylogenetic eigenvectorsSARS-CoV2VOCs

Identifiers

PMID40881282
PMCPMC12380668

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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.