Outbreak of Chikungunya Virus with Aedes albopictus-Adaptive Mutations - Guangdong Province, China, 2025.

Re-emergence of chikungunya virus in South India after a gap of 32 years in 2006 affected over a million people in the Indian subcontinent. We kept a close vigil over the emerging trend of this virus between 2006-2010 with a view to establish the identity of the circulating genotype(s) and to determine the route of virus transmission in different parts of India. Nucleotide sequencing of the E1 gene region from 36 strains of chikungunya virus from three states in northern India was performed for this present study. Forty-four previously reported E1 sequences, retrieved from the global genome data base were used for making a phylogenetic tree. BLAST search revealed 99% homology of the northern Indian strains of the 2006-2010 outbreak with the Reunion Island isolates of 2006. Northern Indian strains of this study clustered with the East Central South African (ECSA) genotype. Findings indicate that the currently circulating strain of chikungunya virus in northern India had its origin from the 2006 epidemic strain of South India that moved toward northern India via the western central India between 2006-2010 in a phased manner with dominance of the ECSA genotype and not the Asian genotype.

Circulation of Chikungunya virus East-Central-South African genotype during the 2020–21 outbreak in São Paulo State, Brazil

Chikungunya virus: A major threat to human population and its molecular epidemiology in pakistan

The Indian Ocean Lineage (IOL) of the chikungunya virus (CHIKV) East/Central/South African (ECSA) genotype, which originated in Kenya, spread to the Indian ocean and the Indian subcontinent, and then expanded through Southeast Asia in the previous decade. It carried an adaptive mutation E1-A226V, which enhances CHIKV replication in Aedes albopictus. However, the IOL CHIKV of the most recent outbreaks during 2016–2020 in India, Pakistan, Bangladesh, the Maldives, Myanmar, Thailand, and Kenya lacked E1-A226V but carried E1-K211E and E2-V264A. Recent CHIKV genome sequences of the Maldives and Thailand were determined, and their phylogenetic relationships were further investigated together with IOL sequences reported in 2004–2020 in the database. The results showed that the ancestral IOLs diverged to a sub-lineage E1-K211E/E2-V264A, probably in India around 2008, and caused sporadic outbreaks in India during 2010–2015 and in Kenya in 2016. The massive expansion of this new sub-lineage occurred after the acquisition of E1-I317V in other neighboring and remote regions in 2014–2020. Additionally, the phylogenetic tree indicated that independent clades formed according to the geographical regions and introduction timing. The present results using all available partial or full sequences of the recent CHIKVs emphasized the dynamics of the IOL sub-lineages in the Indian subcontinent, Southeast Asia, and Eastern Africa.

Chikungunya, a mosquito-borne disease caused by Chikungunya virus (CHIKV), continues to be a significant public health problem in India. In 2016, 56 000 cases were reported from India, the largest number since the reemergence of CHIKV in this region in 2006. In the present study, using molecular and phylogenetic methods, the circulating strains from southern India during 2015-2016 were characterized in the context of circulating Asian strains. Partial envelope gene (E1) sequencing was performed on 20 serum samples positive for CHIKV by a reverse transcription-polymerase chain reaction. Phylogenetic analysis showed that all the sequences in this study belonged to the East Central South African (ECSA) genotype and clustered together with other strains from India. Bayesian phylogenetic analysis revealed that the sequences from the study grouped into two different subclades. The estimate of divergence times suggests that subclades of the ECSA genotype, share a common ancestor approximately 4 to 12 years ago. Six nonsynonymous mutations-K211E, M269V, D284E, V322A, I317V and V220I were noted in E1. In conclusion, this study revealed the cocirculation of distinct subclades within the ECSA genotype of CHIKV in South India during 2015-2016. The I317V mutation in E1 has only been described in recent CHIKV strains from north-central India and Bangladesh. This study highlights the need for continued molecular surveillance to identify the emergence of novel strains and unique mutations in CHIKV with epidemic potential.

Chikungunya virus (CHIKV) is an arbovirus from the Togaviridae family which has four genotypes: West African (WA), East/Central/South African (ECSA) and Asian/Caribbean lineage (AL) and Indian Ocean Lineage (IOL). The ECSA genotype was first registered in Brazil in Feira de Santana and spread to all Brazilian regions. This study reports the characterization of CHIKV isolates recovered from sera samples of fifty patients from seventeen cities in Maranhão, a state from Brazilian northeast region and part of the Legal Amazon area. Primers were developed to amplify the partial regions coding structural proteins (E1, E3, E2, 6K, and Capsid C). The consensus sequences have 2871bp, covering approximately 24% of the genome. The isolates were highly similar (> 99%) to the ECSA isolate from Feira de Santana (BHI3734/H804698), presenting 30 non-synonymous mutations in E1 (5.95%), 18 in E2 (4.46%), and 1 in E3 (3.03%), taking the BHI3734/H804698 isolate as standard. Although the mutations described have not previously been related to increased infectivity or transmissibility of CHIKV, in silico analysis showed changes in physicochemical characteristics, antigenicity, and B cell epitopes of E1 and E2. These findings demonstrate the importance of molecular approaches for monitoring the viral adaptations undergone by CHIKV and its geographic distribution.

BackgroundChikungunya virus (CHIKV) is a re-emerging mosquito-borne virus which causes epidemics of fever, severe joint pain and rash. Between 2005 and 2010, the East/Central/South African (ECSA) genotype was responsible for global explosive outbreaks across India, the Indian Ocean and Southeast Asia. From late 2013, Asian genotype CHIKV has caused outbreaks in the Americas. The characteristics of cross-antibody efficacy and epitopes are poorly understood.Methodology/Principal FindingsWe characterized human immune sera collected during two independent outbreaks in Malaysia of the Asian genotype in 2006 and the ECSA genotype in 2008–2010. Neutralizing capacity was analyzed against representative clinical isolates as well as viruses rescued from infectious clones of ECSA and Asian CHIKV. Using whole virus antigen and recombinant E1 and E2 envelope glycoproteins, we further investigated antibody binding sites, epitopes, and antibody titers. Both ECSA and Asian sera demonstrated stronger neutralizing capacity against the ECSA genotype, which corresponded to strong epitope-antibody interaction. ECSA serum targeted conformational epitope sites in the E1-E2 glycoprotein, and E1-E211K, E2-I2T, E2-H5N, E2-G118S and E2-S194G are key amino acids that enhance cross-neutralizing efficacy. As for Asian serum, the antibodies targeting E2 glycoprotein correlated with neutralizing efficacy, and I2T, H5N, G118S and S194G altered and improved the neutralization profile. Rabbit polyclonal antibody against the N-terminal linear neutralizing epitope from the ECSA sequence has reduced binding capacity and neutralization efficacy against Asian CHIKV. These findings imply that the choice of vaccine strain may impact cross-protection against different genotypes.Conclusion/SignificanceImmune serum from humans infected with CHIKV of either ECSA or Asian genotypes showed differences in binding and neutralization characteristics. These findings have implications for the continued outbreaks of co-circulating CHIKV genotypes and effective design of vaccines and diagnostic serological assays.

Chikungunya fever is an important arboviral infection prevalent through out Africa and Southeast Asia. Recently, in 2006, it has reemerged in many parts of India, affecting more than a million persons. A detail serological, virological, and molecular investigation of this unprecedented outbreak was carried out by collecting and studying 540 samples from all the affected regions of India during this epidemic. An in-depth investigation revealed the presence of anti-Chikungunya antibodies in 68% of the samples and genomic RNA in 49% of them. In addition 32 Chikungunya viruses were isolated from 45 representative polymerase chain reaction-positive samples. The nucleotide sequences of partial E1 gene of 25 representative Chikungunya viruses were deciphered. The sequence analysis indicated that all the isolates of this epidemic belonged to the new Indian Ocean island clade of East Central South (ECS) African genotype. Phylogenetic analysis also revealed that earlier Indian isolates were clustered into the Asian genotype. This study conclusively proved the genotype shift from Asian to ECS African as the major factor in the reemergence of Chikungunya in an unprecedented outbreak in India after a gap of 32 years.

In 2018-2019, Thailand experienced a nationwide spread of chikungunya virus (CHIKV), with approximately 15,000 confirmed cases of disease reported. Here, we investigated the evolutionary and molecular history of the East/Central/South African (ECSA) genotype to determine the origins of the 2018-2019 CHIKV outbreak in Thailand. This was done using newly sequenced clinical samples from travellers returning to Sweden from Thailand in late 2018 and early 2019 and previously published genome sequences. Our phylogeographic analysis showed that before the outbreak in Thailand, the Indian Ocean lineage (IOL) found within the ESCA, had evolved and circulated in East Africa, South Asia, and Southeast Asia for about 15 years. In the first half of 2017, an introduction occurred into Thailand from another South Asian country, most likely Bangladesh, which subsequently developed into a large outbreak in Thailand with export to neighbouring countries. Based on comparative phylogenetic analyses of the complete CHIKV genome and protein modelling, we identified several mutations in the E1/E2 spike complex, such as E1 K211E and E2 V264A, which are highly relevant as they may lead to changes in vector competence, transmission efficiency and pathogenicity of the virus. A number of mutations (E2 G205S, Nsp3 D372E, Nsp2 V793A), that emerged shortly before the outbreak of the virus in Thailand in 2018 may have altered antibody binding and recognition due to their position. This study not only improves our understanding of the factors contributing to the epidemic in Southeast Asia, but also has implications for the development of effective response strategies and the potential development of new vaccines.

Differential regulation of TLR mediated innate immune response of mouse neuronal cells following infection with novel ECSA genotype of Chikungunya virus with and without E1:A226V mutation

In recent decades, chikungunya virus (CHIKV) has become geographically widespread. In 2004, the CHIKV East/Central/South African (ECSA) genotype moved from Africa to Indian ocean islands and India followed by a large epidemic in Southeast Asia. In 2013, the CHIKV Asian genotype drove an outbreak in the Americas. Since 2016, CHIKV has re-emerged in the Indian subcontinent and Southeast Asia. In the present study, CHIKVs were obtained from Bangladesh in 2017 and Thailand in 2019, and their nearly full genomes were sequenced. Phylogenetic analysis revealed that the recent CHIKVs were of Indian Ocean Lineage (IOL) of genotype ECSA, similar to the previous outbreak. However, these CHIKVs were all clustered into a new distinct sub-lineage apart from the past IOL CHIKVs, and they lacked an alanine-to-valine substitution at position 226 of the E1 envelope glycoprotein, which enhances CHIKV replication in Aedes albopictus. Instead, all the re-emerged CHIKVs possessed mutations of lysine-to-glutamic acid at position 211 of E1 and valine-to-alanine at position 264 of E2. Molecular clock analysis suggested that the new sub-lineage CHIKV was introduced to Bangladesh around late 2015 and Thailand in early 2017. These results suggest that re-emerged CHIKVs have acquired different adaptations than the previous CHIKVs.

Chikungunya virus (CHIKV) is a vector (mosquito)-transmitted alphavirus (family Togaviridae). CHIKV can cause fever and febrile illness associated with severe arthralgia and rash. Genotypic and phylogenetic analysis are important to understand the spread of CHIKV during epidemics and the diversity of circulating strains for the prediction of effective control measures. Molecular epidemiologic analysis of CHIKV is necessary to understand the complex interaction of vectors, hosts and environment that influences the genotypic evolution of epidemic strains. In this study, different works published during 1950s to 2020 concerning CHIKV evolution, epidemiology, vectors, phylogeny, and clinical outcomes were analyzed. Outbreaks of CHIKV have been reported from Bangladesh, Bhutan, India, Pakistan, Sri Lanka, Nepal, and Maldives in South Asia during 2007–2020. Three lineages- Asian, East/Central/South African (ECSA), and Indian Ocean Lineage (IOL) are circulating in South Asia. Lineage, ECSA and IOL became predominant over Asian lineage in South Asian countries during 2011–2020 epidemics. Further, the mutant E1-A226V is circulating in abundance with Aedes albopictus in India, Bangladesh, Nepal, and Bhutan. CHIKV is underestimated as clinical symptoms of CHIKV infection merges with the symptoms of dengue fever in South Asia. Failure to inhibit vector mediated transmission and predict epidemics of CHIKV increase the risk of larger global epidemics in future. To understand geographical spread of CHIKV, most of the studies focused on CHIKV outbreak, biology, pathogenesis, infection, transmission, and treatment. This updated study will reveal the collective epidemiology, evolution and phylogenies of CHIKV, supporting the necessity to investigate the circulating strains and vectors in South Asia.

BackgroundDespite the high number of chikungunya cases in Indonesia in recent years, comprehensive epidemiological data are lacking. The systematic review was undertaken to provide data on incidence, the seroprevalence of anti-Chikungunya virus (CHIKV) IgM and IgG antibodies, mortality, the genotypes of circulating CHIKV and travel-related cases of chikungunya in the country. In addition, a phylogenetic and evolutionary analysis of Indonesian CHIKV was conducted.MethodsA systematic review was conducted to identify eligible studies from EMBASE, MEDLINE, PubMed and Web of Science as of October 16th 2017. Studies describing the incidence, seroprevalence of IgM and IgG, mortality, genotypes and travel-associated chikungunya were systematically reviewed. The maximum likelihood phylogenetic and evolutionary rate was estimated using Randomized Axelerated Maximum Likelihood (RAxML), and the Bayesian Markov chain Monte Carlo (MCMC) method identified the Time to Most Recent Common Ancestors (TMRCA) of Indonesian CHIKV. The systematic review was registered in the PROSPERO database (CRD42017078205).ResultsChikungunya incidence ranged between 0.16-36.2 cases per 100,000 person-year. Overall, the median seroprevalence of anti-CHIKV IgM antibodies in both outbreak and non-outbreak scenarios was 13.3% (17.7 and 7.3% for outbreak and non-outbreak events, respectively). The median seroprevalence of IgG antibodies in both outbreak and non-outbreak settings was 18.5% (range 0.0–73.1%). There were 130 Indonesian CHIKV sequences available, of which 120 (92.3%) were of the Asian genotype and 10 (7.7%) belonged to the East/Central/South African (ECSA) genotype. The ECSA genotype was first isolated in Indonesia in 2008 and was continually sampled until 2011. All ECSA viruses sampled in Indonesia appear to be closely related to viruses that caused massive outbreaks in Southeast Asia countries during the same period. Massive nationwide chikungunya outbreaks in Indonesia were reported during 2009–2010 with a total of 137,655 cases. Our spatio-temporal, phylogenetic and evolutionary data suggest that these outbreaks were likely associated with the introduction of the ECSA genotype of CHIKV to Indonesia.ConclusionsAlthough no deaths have been recorded, the seroprevalence of anti-CHIKV IgM and IgG in the Indonesian population have been relatively high in recent years following re-emergence in early 2001. There is sufficient evidence to suggest that the introduction of ECSA into Indonesia was likely associated with massive chikungunya outbreaks during 2009–2010.

Background: Chikungunya virus (CHIKV) is an arbovirus that causes an acute febrile syndrome with a severe and debilitating arthralgia. In Brazil, the Asian and East-Central South African (ECSA) genotypes are circulating in the north and northeast of the country, respectively. In 2015, the first autochthonous cases in Rio de Janeiro, Brazil were reported but until now the circulating strains have not been characterized. Therefore, we aimed here to perform the molecular characterization and phylogenetic analysis of CHIKV strains circulating in the 2016 outbreak occurred in the municipality of Rio de Janeiro.Methods: The cases analyzed in this study were collected at a private Hospital, from April 2016 to May 2016, during the chikungunya outbreak in Rio de Janeiro, Brazil. All cases were submitted to the Real Time RT-PCR for CHIKV genome detection and to anti-CHIKV IgM ELISA. Chikungunya infection was laboratorially confirmed by at least one diagnostic method and, randomly selected positive cases (n=10), were partially sequenced (CHIKV E1 gene) and analyzed.Results: The results showed that all the samples grouped in ECSA genotype branch and the molecular characterization of the fragment did not reveal the A226V mutation in the Rio de Janeiro strains analyzed, but a K211T amino acid substitution was observed for the first time in all samples and a V156A substitution in two of ten samples.Conclusions: Phylogenetic analysis and molecular characterization reveals the circulation of the ECSA genotype of CHIKV in the city of Rio de Janeiro, Brazil and two amino acids substitutions (K211T and V156A) exclusive to the CHIKV strains obtained during the 2016 epidemic, were reported.

INTRODUCTION. The completeness of virus inactivation and the identity of the vaccine strain are essential parameters for the safety and quality of inactivated virus vaccines, which should be controlled during vaccine development and production. Currently, the most promising quality control methods for inactivated virus vaccines are molecular genetic methods, which provide rapid results with high sensitivity and specificity.AIM. The aim of this study was the development of a real-time quantitative polymerase chain reaction (qPCR) method and an integrated cell culture real-time quantitative polymerase chain reaction (ICC-qPCR) method to assess the completeness of virus inactivation, as well as a reverse-transcription polymerase chain reaction assay coupled with restriction fragment length polymorphism analysis (RT-PCR-RFLP) to confirm the identity of the vaccine virus strain.MATERIALS AND METHODS. This study used RNA of CHIKV genotypes (three strains of each of the four CHIKV genotypes, including Asian, West African (WAf), and East/Central/South African (ECSA) genotypes, and the Indian Ocean Lineage of the ECSA genotype (ECSA-IOL), which were identified by sequencing prior to analysis). Additionally, the study used the Nika21 CHIKV strain (ECSA genotype), the Nika21 CHIKV strain inactivated with β-propiolactone, and the Nika21 CHIKV strain antigen adsorbed on aluminium hydroxide. The methods used included real-time qPCR, RT-PCR-RFLP, and virus neutralisation.RESULTS. The study identified a 218 bp fragment of the nsP1 gene (positions 789 to 1006) with restriction endonuclease recognition sites. These sites were present or absent in combinations specific to each of the four CHIKV genotypes. The authors selected primers for amplification of the specified gene region and tested the conditions for real-time qPCR and RT-PCR-RFLP. The study demonstrated the possibility of using the ICC-qPCR method to confirm the completeness of virus inactivation and the RT-PCR-RFLP method to identify the vaccine strain.CONCLUSIONS. The study showed the advantages of using the ICC-qPCR method to confirm the completeness of antigen inactivation and the RT-PCR-RFLP method to identify the vaccine strain. These methods are more sensitive and faster than traditional culture methods. ICC-qPCR and RT-PCR-RFLP can be used at any stage of the production process for inactivated vaccines.