Background
Since July 2025, an outbreak of mosquito-borne 22
chikungunya fever occurred in Foshan City, Guangdong Province, China. 23
This was the second outbreak in China following the one that occurred in 24
Dongguan City, Guangdong Province, in 2010. Moreover, the intensity of 25
this outbreak was significantly greater than that of the previous one. 26
Updates to 23 August, more than 10,000 human cases had been reported. 27
Here, we present the first full genome sequence of the chikungunya virus 28
(CHIKV) derived from field-trapped mosquitoes during the outbreak. 29
Methods
Adult Aedes albopictus were BG-trap captured from residences 30
and parklands in three hotspot towns with high density of confirmed 31
human cases. Mosquitoes were morphologically identified and pooled by 32
species, sex and environment types. RNA was extracted, screened by 33
CHIKV RT-qPCR, then positive pools underwent sanger and whole -34
genome sequencing for complete sequences. Lineage and mutational 35
profiles were inferred by maximum likelihood phylogenetic and 36
comparison against human and mosquito genomes. The distribution of 37
amino acid site mutations in different protein coding regions was also 38
analyzed. 39
Result
Through 11 days of collection using 10 BG-traps, 2,803 40
mosquitoes were captured. 1569 (55.97%) female Ae. albopictus were 41
divided into 77 pools and 9.09% (7/77) of the pools tested positive for 42
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CHIKV. The local Ae. albopictus minimum infection rate (MIR, per 1000 43
females) was 4.46, while the MIR for residences in Lecong Town was the 44
highest at 9.17. The MIR for parklands was slight higher than for 45
residences (4.60 vs. 4.30). All the 5 Ae. albopictus-derived complete 46
CHIKV genome clustered within ECSA-Indian Ocean lineage genotype, 47
closely related to human-derived genomes on 2025 Reunion Island. 48
Amino-acid mutations E1-A226V/E2-L210Q were detected in the strains, 49
which enhanced adaptability to Ae. albopictus and increased the 50
transmission capacity. Novel mutation observed on E1 and E2 were 51
totally consist to the patient-derived CHIKV in 2025 Reunion Island. 52
Conclusions
It was the first mosquito-derived CHIKV whole-genome 53
during the 2025 Foshan outbreak, filling a critical gap between human 54
case and entomological surveillance. Ae. albopictus was confirmed as the 55
primary vector during the outbreak. The current outbreak CHIKV strain 56
with particular amino-acid mutations had adapted to Ae. albopictus 57
transmission. Compared to previous Chikungunya outbreaks over the past 58
decade, the Foshan outbreak occurred earlier (early July), in a larger 59
urban area (with a population of over 9.5 million), and with abundant 60
breeding sites for the vector mosquito Ae. albopictus. However, the 61
outbreak was quickly brought under control, with daily case numbers 62
consistently decreasing, which is closely linked to the strong vector 63
control measures implemented by the Chinese government in the early 64
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stages of the outbreak. Moreover, this event once again underscores the 65
necessity of early monitoring of vector mosquitoes and the importance of 66
implementing highly effective vector intervention measures as soon as 67
possible after an outbreak occurs. 68
Keywords
chikungunya virus (CHIKV); Foshan city; Aedes albopictus; 69
whole-genome sequencing; outbreak genomics 70
71
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1. Introduction 72
The chikungunya virus (CHIKV) is a mosquito-borne single-73
stranded RNA virus (belonging to the Togaviridae family, Alphavirus 74
genus) that causes an acute febrile illness accompanied by severe and 75
debilitating arthralgia [1]. The primary vectors for CHIKV are Aedes 76
aegypti and Ae. albopictus[2]. Given the widespread distribution of Ae. 77
mosquitoes in tropical and subtropical regions, CHIKV has demonstrated 78
significant global cross-regional transmission potential[3]. Currently, 79
CHIKV is classified into four major genotypes: West African (WA), 80
East/Central/South African (ECSA), Asian, and the Indian Ocean Lineage 81
(IOL, a branch of the ECSA genotype). From the first detection from 82
Tanzania in 1952 , CHIKV was sporadically confined to Asia and Africa. 83
However, since the beginning of the 21st century, it had re-emerged in 84
over 100 countries across Asia, Africa and America. For example, the 85
Introduction
of IOL had led to explosive epidemics in India and Southeast 86
Asia, posing a serious threat to public health[4-6]. 87
In 2010, Dongguan City in Guangdong witnessed China’s first large-88
scale local CHIKV outbreak, where abundant Ae. albopictus populations. 89
Dongguan CHIKV strain belonged to the ECSA-IOL genotype with the 90
E1-A226V mutation, which significantly enhances its adaptability to the 91
local primary vector Ae. albopictus [7, 8]. Subsequently, imported cases 92
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and sporadic local transmission were reported in Yunnan, Zhejiang, and 93
other regions[9, 10]. Nowadays, the emerging outbreak in Foshan City, 94
Guangdong Province, which began in July 2025, had infected above 10 95
thousand people by August 23[11]. The subtropical climate and rapid 96
urbanization in China, combined with high Ae. mosquito activity and 97
population density, amplified the risk for CHIKV outbreaks in Pearl River 98
Delta region (Guangdong province). 99
Viral genomes was instrumental in the identification of the 100
epidemics origin and the reconstruction of transmission chains [12]. 101
However, the majority of CHIKV viral sequences from the Foshan 2025 102
outbreak were patient-derived, with no field mosquito-derived CHIKV 103
genome has been reported, which hindered comprehensive understanding 104
of the transmission ecology and the establishment of phylogenetic linkage 105
between human cases and local vector. There were several documented 106
mosquito-derived CHIKV genomes from epidemics in Asia, European 107
and Latin America countries[13-16]. Mosquito-derived CHIKV genomes 108
not only validate vector infection but also reveal potential adaptive 109
mutations. The E1-A226V mutation, first identified in the IOL strains of 110
the 2005–2006 Indian Ocean outbreak, has been shown to dramatically 111
increase CHIKV infectivity and dissemination in Ae. albopictus. In 2009, 112
a second-step mutation (E2-L210Q) emerged in India, further enhancing 113
midgut infection in Ae. albopictus without affecting fitness in Ae. aegypti. 114
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These sequential adaptations havd enabled CHIKV to exploit Ae. 115
albopictus as a more efficient urban vector across a wider geographic and 116
climatic range, where Ae. albopictus predominates, such as in urban 117
China[17, 18]. 118
This study was conducted during the ongoing CHIKV outbreak in 119
August 2025, Foshan, China, where the CHIKV positivity rate was 120
detected in Ae. mosquitoes and first mosquito-derived CHIKV strains 121
whole genome was obtained. By assessing mosquito infection rates, 122
genotypes, and key mutation profiles, this study provided critical 123
evidence for CHIKV vector attribution and an evaluation of the mosquito 124
control efficacy during the outbreak, enabling timely responses and 125
guidance for mosquito-borne disease control measures. 126
127
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2. Materials and Methods 128
2.1. Sampling Sites 129
This study was conducted in the field area of Beijiao, Chencun and 130
Lecong Towns in Shunde District, Foshan City, Guangdong Province, 131
China, which were a hotspot region (over 90% of patient cases were 132
reported at the initial phase) for the CHIKV pandemic (Figure 1). The area 133
is located approximately 30 –40 kilometers from Guangzhou City 134
(international city with 19 million population) and has a subtropical humid 135
climate with an annual average temperature of 22.2°C (range 10°C to 136
33°C). The region receives approximately 1,677.3 millimeters of 137
precipitation annually, with June having the highest precipitation at 273.7 138
millimeters and an annual average relative humidity of 79% , which is 139
highly suitable for the survival of the primary vector Ae. mosquitoes. 140
2.2. Mosquito Collection and processing 141
The mosquitoes were collected outdoors with BG-Sentinel traps from 142
9 am to 8 pm during July 31st and Aug 10th. Adult mosquitoes were frozen 143
at − 20 °C for 30 min and placed on ice for morphological identification , 144
then immediately transferred in carbon dioxide ice. 145
We restricted analyses to female Ae. mosquitoes, as only females 146
blood-feed and contribute to arbovirus transmission. the Ae. albopictus 147
mosquitoes were quantified and grouped in pools, according to species, sex, 148
location. Each pool compris ed approximately 2 5 individuals. Each pool 149
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was homogenized by motor driven tissue grinder with 1 ml of Media 150
Dulbecco's Modified Eagle Medium (DMEM) (Gibco) supplemented with 151
2% fetal bovine serum (FBS) (Gibco). Following homogenization, the 152
samples were centrifuged at 8000 × g for 10 min at 4°C. The supernatant 153
was subsequently collected and stored at -80°C until further processing. 154
2.3. Viral RNA Extraction and CHIKV molecular detection with RT-155
qPCR 156
The prepared homogenate was clarified by centrifugation and the 157
supernatant was used for viral RNA isolation. RNA was extracted from 158
pools of clarified mosquito homogenates using viral RNA isolation kit 159
(QIAGEN, Germany, catalog #52906), according to manufacturer’s 160
instructions. The RNA was eluted from the QIAspin columns in a final 161
volume of 80μl of ddH20 and was kept at −80 ℃ until processing. 162
The RT-qPCR assay was performed using the CHIKV Detection Kit 163
(SLin, China, catalog # A5 -10B), which contains specific primers and a 164
probe targeting the CHIKV E1 gene. Each 25 µL reaction contained 20 µL 165
of reaction mix and 5 µL of extracted RNA. Amplification was carried out 166
on an Applied Biosystems® QuantStudio™ 7 Flex Real-Time PCR System 167
(ThermoFisher Scientific, Waltham, MA, USA) under the following 168
conditions: reverse transcription at 50 °C for 2 min, initial denaturation at 169
95 °C for 1 min, followed by 40 cycles of denaturation at 95 °C for 2s and 170
annealing/extension at 55 °C for 19 s. A plasmid containing a fragment of 171
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the CHIKV E1 gene was used as a positive control, and nuclease-free water 172
was included as a negative control. All samples were run in duplicate, and 173
those with an average cycle threshold (Ct) value below 37 were considered 174
positive. 175
2.4 Sanger sequencing of mosquito-derived CHIKV genomes 176
Full-length CHIKV genomes were amplified using overlapping RT-177
PCR with primer sets designed based on S27 strain reference sequences 178
from GenBank (accession GCA_000854045.1). Full viral genome 179
recovery was achieved via synthesis of complementary DNA (cDNA) 180
directly from single-stranded RNA (ssRNA). Briefly, cDNA was 181
synthesized using PrimeScript™ RT Master Mix (TAKARA, #RR036A) 182
The CHIKV genome was sequenced through overlapping PCR amplicons 183
spanning 12 genomic segments. All primers used for amplification (Table 184
1) were commercially synthesized by Sangon Biotech (Shanghai, China), 185
with subsequent PCR product sequencing performed by the same vendor. 186
Raw chromatograms were assembled into contiguous sequences using 187
SeqMan Pro (DNASTAR Lasergene v7.1) and manually curated to 188
generate the complete genome sequences. 189
Table 1. Primers for sanger sequencing of mosquito-derived CHIKV genomes 190
No Region Forward primer (5 -3 ) Reverse primer (5 -3 )
1 1-943 ATGGCTGCGTGAGACA TCTCTTAACGACGTAGCCTT
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2 713-2001 TGTTCAACAGACCTGACGGA CATCGCAATATGGTGTAGCTT
3 1917-3160 CTGAAGACTTCCAGAGCCTA TTTTATCCCCGCTGTTTCGAG
4 2680-3921 GAATGAGTACAACAAGCCGAT TGATCTAAACTTGCGTCCCA
5 3762-5126 ATTATCAACAGTGCGTAGACCA CGTCAACGCTTAGATCGAAT
6 4869-6343 GTTACGCCATGACACCAGA CTCCACGTTGAATACTGCT
7 5592-6905 ATGATTTGACAGATAGCGACT AGCTGGAAATCTCTCCGAA
8 6795-8039 AGAGCCAAGATGATTCACTTGC GATGACCGCTTAAAGGCCAA
9 7994-9145 CCATCGATAACGCGGACCTG TACACTTATACCGCACCGTCT
10 8634-10046 CGTAGCACTAGAACGCATC AGAGTCTTATACGGTACTCCC
11 9803-11290 CTAAAGCGGCCACATACCAA ATAGCACCACGATTAGAATCAG
12 10778-12032 CAACAAACCCGGTAAGAGC
GAAATATTAAAAACAAAATAAC
ATCTCCTACGTC
2.5. Next-generation sequencing of mosquito-derived CHIKV genome 191
Due to the low viral RNA concentration, some PCR- positive pools 192
were subjected to high -throughput sequencing. cDNA libraries were 193
prepared using the NEBNext Ultra RNA Library Prep Kit for Illumina. The 194
libraries were quality checked and sequenced on an Illumina Nova Seq 195
6000 platform with 150-bp paired-end reads. 196
The analysis pipeline for high -throughput sequencing data was as 197
follows: First, Trimmomatic v0.39[19] and Fastp v0.23.4[20] were used to 198
remove sequencing adapters and low -quality sequences, completing the 199
sequencing data quality control. Next, Bowtie2 v2.5.4 [21] was employed 200
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in conjunction with the Ae. albopictus reference genome (Accession 201
Number: GCF035046485.1)[22] to perform host sequence depletion on the 202
quality-controlled sequencing results. Subsequently, the host -depleted 203
sequences were aligned against the Chikungunya virus genome sequence 204
(Accession Number: NC_004162.2) [23] using ncbi -blast+ v2.16.0 [24], 205
and Chikungunya virus -specific sequences were isolated from the 206
alignment output. These isolated viral sequences were then assembled with 207
MEGAHIT v1.2.9[25]. For the assembled contigs, BWA v0.7.17-r1188[26] 208
was used to evaluate the sequencing coverage depth, and ncbi -blast+ 209
v2.16.0 for sequence homology alignment. Finally, the final high -quality 210
assembly results were screened and obtained through these validation steps. 211
2.6 Phylogenetic Analysis 212
Besides the 5 mosquito-derived CHIKV strains detected in Foshan, an 213
additional 125 complete genomes of Chikungunya virus were collected and 214
curated, with isolation sources including mosquitoes and humans. It should 215
be noted that, as the sudden outbreak, no sequences from local patients in 216
Foshan 2025 had been found in the database. Following codon -based 217
multiple sequence alignment using MUSCLE v3.8.1551[27], the Bayesian 218
Evolutionary Analysis Utility (BEAUti) v10.5.0 [28] was used for 219
evolutionary model selection and XML file construction. 220
Bayesian Evolutionary Analysis Sampling Trees (BEAST) v10.5.0[29] 221
was employed to estimate evolutionary rates, divergence times, population 222
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sizes, and tree topologies. Tracer v1.7.2 [30] was utilized to assess the 223
convergence of phylogenetic tree topology parameters. 224
TreeAnnotator v10.5.0 [31] was used to summarize the posterior 225
estimates and highest posterior density (HPD) limits of node heights, as 226
well as evolutionary rates for analyses employing a relaxed molecular 227
clock model. Finally, FigTree v1.4.4 was applied to visualize and refine the 228
phylogenetic results for presentation purposes. 229
2.7 Amino acid mutation analysis 230
For sequence variant detection, the complete genomes of each Foshan 231
mosquito-derived CHIKV strain were aligned to the typical genotypes 232
from human and mosquito reference strains using ClustalW [32], and the 233
bases of each Foshan mosquito -derived CHIKV strain virus genome that 234
did not align were extracted as single -nucleotide variants (SNVs) using 235
custom-written Python scripts. These SNVs were annotated by 236
ANNOV AR software, SNVs in the coding region were divided into 237
synonymous SNVs and nonsynonymous SNVs. 238
2.8 Comparative genomic analysis 239
Predict the sequences and genomic positions of structural and non -240
structural proteins of Chikungunya virus using blastn, and plot the genome 241
structure using R package circlize v0.4.16[33]. 242
2.9 Minimum infection rate 243
For infection rate estimation, we restricted analyses to female Ae. 244
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mosquitoes, as only females blood -feed and contribute to arbovirus 245
transmission. Pools were formed with around 25 individuals, and infection 246
rates were expressed as minimum infection rate (MIR, per 1,000 females). 247
The MIR was determined as the ratiobetween the number of virus positive 248
pools of mosquitoes detectedand the total number of mosquitoes tested, 249
multiplied by 1000 . This approach has been widely adopted in arbovirus 250
entomological surveillance to avoid dilution effects from non-vector males, 251
which may bias estimates downward. 252
3. Results 253
3.1. Mosquito Collection and Identification 254
Sampling sites were taken from three hotspot towns (Beijiao, 255
Chencun and Le cong) in Foshan city , Guangdong Province, China, 256
including 56 park lands and 34 residential areas. A total of 2,803 257
mosquitoes (1031 in Beijiao, 500 in Chencun and 1272 in Letang) were 258
trapped in the study. The majority were Ae. albopictus (2,627, or 93.72%), 259
with the others being Culex spp., with no Ae. Aegypti. There were 1087 260
female Ae. Albopictus trapped from parklands and 465 from residences. 261
(Supplementary 1). 262
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263
Figure 1 satellite map for sampling sites. Red points represented 90 sites 264
in Beijiao, Chencun and Lecong towns, Foshan city, Guangdong 265
Province, China 266
3.2 CHIKV infection rate in mosquito 267
We put the focus on female Ae. mosquitoes, as only females blood -268
feed and contribute to arbovirus transmission. There were 1569 (59.73%) 269
female Ae. Albopictus from 90 sites in 3 towns, which were divided into 270
77 pools by species, gender and Environmental type . There were 9.09% 271
(7/77) of the pools tested positive for CHIKV (Table 2). 272
Table 2. CHIKV Positive pool information for female Ae. albopictus mosquitoes 273
Pool
No.
Sampling site
No.
No .of female
Ae. Albopictus
Town
Environmental
type
Sampling
date
RT-PCR
value
P12 S14 20 Lecong residences 250801 21.63
P15 S15,S16 23 Lecong residences 250801 20.57
P22 S25 20 Lecong parklands 250802 35.136
P23 S27 15 Lecong parklands 250802 35.679
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P70 S83 20 Beijiao parklands 20250810 21.614
P71 S83 20 Beijiao parklands 20250810 20.389
P72 S85, S86 24 Beijiao parklands 20250810 21.396
The total minimum infection rate (MIR, per 1000 females) was 4. 46, 274
while the MIR for residences in Lecong Town was the highest at 9.17. The 275
MIR for parklands was slight higher than for residences ( 4.60 vs. 4.30, 276
Table 3). 277
Table 3. Minimum infection rate (MIR) of CHIKV in mosquito from different towns and 278
regional types 279
Town
Environmental
type
Total of female
Ae. Alcbopictus
Total of
the pools
No. of pools
positive by RT-
PCR (%)
MIR per 1000
female
Beijiao
parklands 437 c21 3 (14.28) 6.86
residences 162 8 0 0
Chencun
parklands 217 11 0 0
residences 85 4 0 0
Lecong
parklands 450 22 2 (9.09) 4.44
residences 218 11 2 (18.18) 9.17
Total
parklands 1087 54 5 (9.26) 4.60
residences 465 23 2 (8.70) 4.30
Total 1569 77 7 (9.09) 4.46
280
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3.3. Phylogenetic Analysis 281
There were 5 whole genome sequence finally acquired, from the 282
PCR positive pools excluded 2 low viral load pools (CT value beyond 283
35). The initial Maximum clade credibility tree was constructed using the 284
dataset containing 135 sequences from the four distinct genotypes and the 285
Foshan mosquito-derived sequences in the study. Phylogeny based on the 286
complete genome analysis characterized the 5 Foshan mosquito-derived 287
CHIKV strains (12/15/70/71/72_Guangdong_foshan_Mosquito_2025), as 288
belonging to the ECSA-IOL genotype, with a high similarity to the 289
Réunion Island human case in 2025 (99.93%) and local human case in 290
2018 (97.01%~97.04%). It comprised a distinct sub-branch with other 291
mosquito derived samples previously detected in Guangdong, Zhejiang 292
and Yunnan (Figure 2). This showed a potential genetic origin of the 293
virus strains in this outbreak. 294
Phylogenetic results indicated that all currently circulating CHIKV 295
strains share a common ancestor that existed within the past 300 years, with 296
the 95% highest posterior density (HPD) interval for their most recent 297
common ancestor (MRCA) estimated to be 87 – 230 years ago. For 298
CHIKV strains endemic to the Asian region, the 95% HPD interval for 299
their MRCA ranges from 71 to 122 years ago. The divergence between the 300
Asian and ECSA genotypes occurred within the past 100 years. 301
Furthermore, phylogenetic results reveal ed a distinct spatiotemporal 302
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pattern in the Southeast Asian lineage of the Asian genotype: it spread from 303
Thailand to Indonesia, subsequently to the Philippines, and most recently 304
to Malaysia. The most recent common ancestor (MRCA) of the Indian 305
Ocean lineage can be traced back to approximately 2002 (95% HPD: 2001–306
2003). 307
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308
Figure 2. Maximum clade credibility (MCC) tree of 130 CHIKV strains. The four 309
major lineages are highlighted with different branch colors, where the color of each 310
branch line represents the evolutionary rate of the viruses in that branch. The 311
estimated 95% HPD values for most pecent common ancestors are labeled beside the 312
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node and are also indicated by the thick blue horizontal node bars. The numbers 313
adjacent to nodes indicate Bayesian posterior probability values. Strains are labeled as 314
follows: strain_name_location_host_date (year) of collection. The 5 Foshan 315
mosquito-derived CHIKV strains in this study were in bold. 316
3.4 Amino acid mutation analysis 317
The mutation analysis, compared to human - and mosquito -derived 318
strains, was shown in Table 4 for four genotypes of CHIKV structural 319
proteins. All consensus genomes assigned to the five Foshan 2025 320
mosquito-derived CHIKV strains (Pools 12, 15, 70, 71 and 72) displayed 321
an identical E1/E2 amino -acid signature, indicating a single predominant 322
circulating variant in local vectors. 323
Notably, this constellation include d the E1-A226V and E2 -L210Q 324
mutations, which ha d been identified as enhancing Ae. albopictus 325
adaptation and increasing infectivity. The novel E1 -326
N9S/T37I/K324R/G348E/V399I mutation together with the E2 -327
V85A/A227V/Q282K mutation were observed, which were identical to 328
those observed in two contemporaneous Réunion Island human isolates 329
(PV685524 and PV700165) in 2025, supporting a shared variant profile 330
across regions and facilitating tracing. 331
Contrasting with earlier Chinese reference strains (e.g. Dongguan 332
2010 and Zhejiang 2017), the Foshan variant consistently replace d 333
ancestral residues at multiple E1 sites ( N9S, T37I, K324R, G348E and 334
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V399I) and E2 sites (V85A, A227V and Q282K). These changes made the 335
2025 Foshan mosquito -derived CHIKV different from former domestic 336
lineages within ECSA–IOL. 337
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Table 4. Mutations in Foshan mosquito-derived CHIKV strains, compared with typical sequences from human and mosquito in the four 338
genotypes. 339
Virus
strain
Origin Location ye
ar
E1 mutation E2 mutation genot
ype
9 3
7
2
1
1
2
2
6
2
5
0
2
8
4
3
1
7
3
2
4
3
4
8
3
9
9
7
4
8
5
1
1
8
1
4
9
2
0
5
2
1
0
2
2
2
2
2
7
2
4
6
2
6
4
2
8
2
3
1
2
3
7
5
3
8
6
Pool15 Mosqu
ito
China
Foshan
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
Pool12 Mosqu
ito
China
Foshan
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
Pool70 Mosqu
ito
China
Foshan
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
Pool71 Mosqu
ito
China
Foshan
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
Pool72 Mosqu
ito
China
Foshan
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
PV6855
24
Human Reunion
Island
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
PV7001
65
Human Reunion
Island
20
25
S I K V P D V R E I T A G R G Q I V D V K T S V ECSA
-IOL
MG912
993
Human China
Zhejiang
20
17
N T E A S E V K G V M V S K S L V A A A Q M T A ECSA
-IOL
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JQ0658
85
Human China
Dongguan
20
10
N T K V P E I K G V M V S K G L V A A V Q M T A ECSA
-IOL
MN402
884
Human China 20
19
N T E A S E V K G V M V S K S L V A A A Q M T A ECSA
-IOL
JQ0658
90
Human China 20
10
N T E A S E I K G V M V S K G L V A A A Q M T A ECSA
-IOL
HQ8463
56
Human China 20
10
N T K V P E I K G V M V S K G L V A A V Q M T A ECSA
-IOL
PP5990
25
Human Thailand 20
23
N T E A S E V K G V M V S K S L V A A A Q M T A ECSA
-IOL
KX0091
68
Human Thailand 20
13
N T K V S E I K G V M V S K G L V A A V Q M T A ECSA
-IOL
ON8870
79
Mosqu
ito
India 20
22
N T E A S E I K G V M V S K G L V A A A Q M T A ECSA
-IOL
FN2954
85
Human Malaysia 20
08
N T K V S E I K G V M V S K G L V A A V Q M T A ECSA
-IOL
AB8603
01
Human Philippines 20
13
N T E A S D I K G V M V G R D L V A A V Q T S V Asian-
Pacifi
c
HM045
820
Mosqu
ito
Cote
d'Ivoire
19
93
N T K A S D I K G V T V S K G L I A A V Q T S V West
Africa
n
MK286
898
Human India 20
18
N T E A S E V K G V M V S K G L V A A A Q M T A ESCA
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The mutated sites are highlighted in bold. Amino acids (aa) abbreviations: A: Alanine; D: Aspartic acid; E: Glutamic acid; G: Glycine; I: 340
Isoleucine; K: Lysine; L: Leucine; N: Asparagine; P: Proline; Q: Glutamine; R: Arginine; S: Serine; T: Threonine; V: Valine. 341
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3.5 Comparative genomic analysis 342
BLAST analysis and nonsynonymous SNV were used to illustrate 343
five Foshan mosquito-derived CHIKV genomes. Furthermore, the 344
complete sequencing of the 5 Foshan isolates and other 20 sequnences 345
from patients and mosquitos were collected, allowed for a better 346
understanding of their genetic relationships. The different regions of the 347
sequences exhibited > 90.4% nucleotide similarity to the corresponding 348
regions of the prototypical isolate (Figure 3). 349
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350
Figure 3. Comparative genomics analysis of 25 CHIKV strains. It showed the 351
positions of gene-coding regions across different CHIKV lineages. Here, nsP stands 352
for non-structural proteins, E for Envelope proteins, C for Capsid protein, and UTR 353
for Untranslated Regions. Different background colors are used to distinguish 354
between different CHIKV genotypes. 355
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4. Discussion 356
This study reported the first mosquito-derived complete CHIKV 357
genome from Ae. albopictus during the ongoing 2025 Foshan China 358
outbreak, providing direct evidence of the vector mosquito Ae. albopictus 359
's role in the CHIKV transmission. The observed mosquito infection rate 360
(MIR = 4.46), together with adaptive mutations such as E1 -A226V and 361
E2-L210Q, provided a timely and effective support for public health 362
response. 363
Globally, CHIKV detection rate in Ae. mosquitoes consistently 364
increased during epidemic periods compared with inter-epidemic phases. 365
For instance, a large-scale epidemic in India from 2006 to 2010 366
reported the MIR of 2-15 per 1,000 Ae. aegypti and Ae. albopictus , while 367
while routine surveillance typically detected <1 per 1,000[34, 35]. Studies 368
from Thailand, Indonesia, Singapore and other Asia countries, similarly 369
demonstrated significant increases in Ae. albopictus positivity rates 370
during outbreaks, reaching >8% in some settings, compared to sporadic 371
detections in non-outbreak years[36-38] . The situation for Ae. aegypti 372
was quite similar. Latin American surveys, such as in Colombia (2020–373
2021), revealed very low positivity in Ae. aegypti during non-outbreak 374
periods (0.2%), whereas epidemic periods in Brazil (20 17–2020) reached 375
2–8 per 1,000[39, 40]. Higher infection levels were reported in Africa, 376
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like Kenya exceeded 10/1000[41]. Collectively, these findings confirmed 377
that vector positivity rates rise sharply during outbreaks, and the Foshan 378
outbrek MIR falls within the range observed elsewhere, suggesting 379
comparable transmission dynamics and the efficacy of existing control 380
measures 381
Phylogenetic analysis showed that the five Foshan mosquito -derived 382
CHIKV genomes clustered with the Réunion Island human case in 2025, 383
belonging to the same ESCA-IOL genotype as Foshan Local human-384
derived CHIKV did[11]. Besides, the Foshan mosquito-derived CHIKV 385
amino-acid mutation on E1/E2 regions were identical to those observed in 386
Réunion Island human isolates in 2025, supporting a potential genetic 387
origin. Importantly, mutations such as E1-A226V and E2-L210Q, both 388
detected in this study, were documented markers of enhanced vector 389
adaptation. E1-A226V was known to increase infectivity in Ae. 390
albopictus approximately 100-fold by facilitating midgut invasion and 391
shortening the extrinsic incubation period[42]. Similarly, the E2-L210Q 392
allele had been associated with enhanced viral replication efficiency 393
within the vector[43]. These mutations, first highlighted during the 2005–394
2006 Indian Ocean epidemic, have since emerged independently in 395
multiple regions, like Thailand and Malaysia [38, 44], reflecting selective 396
pressure for Ae. albopictus adaptation. Conversely, outbreaks in the 397
Americas had largely involved Asian genotype viruses lacking E1-398
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A226V, demonstrating regional variation in adaptive signatures [45]. The 399
Foshan mosquito-derived CHIKV strains in this study carried the E1-400
A226V and E2-L210Q mutations, which were of significant importance 401
for explaining the CHIKV adaptive transmission in local primary vector 402
Ae. albopictus. Other E2 substitutions such as R198Q, K233E, and 403
K252Q have also been shown to provide incremental fitness benefits in 404
Ae. albopictus within IOL strains[46, 47]. Other amino-acid changes 405
observed in Foshan strains had not been previously implicated in vector 406
adaptation so far. 407
Despite early implementation of large-scale vector control during the 408
Foshan outbreak, CHIKV-positive mosquitoes were still detected, which 409
was consistent with observations in Brazil, Thailand and other regions, 410
where wild-caught mosquitoes remained virus-positive even under 411
intensive interventions. This persistence likely reflected challenges such 412
as complex mosquito habitats, insecticide resistance[48, 49]. 413
Comparisons with the concurrent 2025 Reunion Island outbreak were 414
instructive: although Reunion experienced lower seasonal mosquito 415
abundance, nearly one-quarter of the population was infected, 416
with >23,000 estimated cases per week[50, 51]. In Foshan, despite higher 417
population density and favorable conditions for mosquito activity, timely 418
interventions limited the cases to 10,000, underscoring the critical role of 419
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rapid, intensive vector management. Otherwise, the outbreak would have 420
led to greater spread and loss. 421
Our findings emphasized that mosquito-based surveillance was 422
indispensable for outbreak preparedness. Incorporating systematic 423
human/mosquito monitoring and viral genome sequencing into public 424
health responses provided an early warning system, informed on adaptive 425
mutations, and enabled real-time evaluation of intervention efficacy. MIR 426
estimates, when combined with genomic data, could guide adjustments to 427
control intensity and complement case-based surveillance. 428
Compared to previous Chikungunya outbreaks over the past decade, 429
the Foshan outbreak occurred earlier (early July), in a larger urban area 430
(with a population of over 9.5 million), and with abundant breeding sites 431
for the vector mosquito Ae. albopictus. However, the number of cases has 432
so far just exceeded 10,000, and the number of daily new cases is under 433
effective control, which is closely linked to the strong vector control 434
measures implemented by the Chinese government in the early stages of 435
the outbreak. Moreover, this event once again underscores the necessity 436
of early monitoring of vector mosquitoes and the importance of 437
implementing highly effective vector intervention measures as soon as 438
possible after an outbreak occurs. 439
Conclusions
440
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This study provided the first complete CHIKV genome sequence 441
obtained from mosquitoes during an ongoing endemic outbreak in China , 442
bridging the existing gap between human and vector. Furthermore, the 443
analysis of mosquito positive rates and amino-acid mutation spectra 444
directly providing crucial support for the process of tracing and risk 445
assessment. It emphasized the importance of corporating mosquito 446
surveillance, in order to support a timely and effective public health 447
response. 448
Supplementary Information 449
Additional file 1 Mosquito collection information in 90 sampling sites, 450
Foshan, China, 2025 451
Ethics approval and consent to participate 452
Not applicable 453
Consent for publication 454
All authors read and approved the final manuscript for publication. 455
Availability of data and materials 456
Data and materials will be made available on request. 457
Declaration of competing interest 458
The authors declare that they have no known competing financial 459
interests or personal relationships that could have appeared to influence 460
the work reported in this paper. 461
Funding 462
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This work was supported by the National Key Research and Development 463
Program of China (Grant No. 2024YFC2607800). 464
Author contributions 465
Field mosquito collection: Xinyu Zhou, Xiaoxue Xie, Wenhao Wang; 466
Sanger sequencing: Xiaoxue Xie, Xiaohui Liu, Xiaoli Chen; Whole-467
genome sequencing : Heting Gao; Developed the methodology: Dan 468
Xing, Chunxiao Li; Collected the data: Kai Wang, Yuting Jiang, Haotian 469
Yu; Analyzed the results: Heting Gao, Teng Zhao; Wrote the first draft: 470
Teng Zhao; Generated the figures: Xinyu Zhou, Wenhao Wang; 471
Conceptualization, resources and funding: Chunxiao Li. All authors read 472
and approved the final manuscript. 473
Acknowledgement
474
Not applicable 475
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Supplementary 1. Mosquito collection information in 90 sampling sites, Foshan, China, 2025 661
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Sampling
site No.
longitude and latitude Town Environmental
type
Sampling
date
Mosquito collection
No. of
mosquito
No. of Ae.
albopictus
No. of
FemaleAe.
albopictus
S1 22.955475,113.241928,-1.79 Chencun Parklands 2025.07.31 30 26(0.87) 17(0.65)
S2 22.953634,113.229721,1.17 Chencun Parklands 2025.07.31 0 0(0) 0(0)
S3 22.949833,113.230072,-2.82 Chencun Residences 2025.07.31 36 34(0.94) 15(0.42)
S4 22.947151,113.233315,-2.22 Chencun Residences 2025.07.31 6 5(0.83) 5(0.83)
S5 22.945978,113.238266,1.36 Chencun Parklands 2025.07.31 51 51(1) 44(0.86)
S6 22.957052,113.238411,-3.34 Chencun Parklands 2025.07.31 85 84(0.99) 19(0.22)
S7 22.961157,113.236382,3.09 Chencun Parklands 2025.07.31 9 7(0.78) 5(0.56)
S8 22.964167,113.227379,4.74 Chencun Parklands 2025.07.31 37 30(0.81) 5(0.14)
S9 22.957512,113.227165,-1.71 Chencun Parklands 2025.07.31 21 10(0.48) 5(0.24)
S10 22.959925,113.221344,-4.42 Chencun Residences 2025.07.31 48 48(1) 40(0.83)
S11 22.972282,113.112000,6.72 Lecong Parklands 2025.08.01 160 160(1) 59(0.37)
S12 22.972204,113.107788,2.21 Lecong Parklands 2025.08.01 9 9(1) 8(0.89)
S13 22.973234,113.097481,-0.84 Lecong Residences 2025.08.01 22 16(0.73) 5(0.23)
S14 22.973757,113.096970,-3.98 Lecong Residences 2025.08.01 36 26(0.72) 22(0.61)
S15 22.976496,113.093040,-0.01 Lecong Residences 2025.08.01 74 74(1) 54(0.73)
S16 22.975836,113.092888,-4.01 Lecong Residences 2025.08.01 37 36(0.97) 29(0.78)
S17 22.965343,113.089172,-2.75 Lecong Parklands 2025.08.01 23 11(0.48) 6(0.26)
S18 22.959852,113.100372,0.09 Lecong Parklands 2025.08.01 45 42(0.93) 32(0.71)
S19 22.963625,113.104378,-8.28 Lecong Parklands 2025.08.01 13 10(0.77) 6(0.46)
S20 22.956902,113.093819,1.90 Lecong Parklands 2025.08.01 10 10(1) 8(0.8)
S21 22.965977,113.085014,-1.06 Lecong Parklands 2025.08.02 9 9(1) 7(0.78)
S22 22.957771,113.080109,-1.66 Lecong Parklands 2025.08.02 4 4(1) 1(0.25)
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S23 22.957047,113.077057,0.69 Lecong Parklands 2025.08.02 14 14(1) 9(0.64)
S24 22.946693,113.075287,-2.69 Lecong Residences 2025.08.02 1 1(1) 1(1)
S25 22.938643,113.079262,-1.06 Lecong Parklands 2025.08.02 50 48(0.96) 27(0.54)
S26 22.923597,113.070625,-1.71 Lecong Parklands 2025.08.02 34 34(1) 8(0.24)
S27 22.911486,113.090263,-3.43 Lecong Parklands 2025.08.02 34 34(1) 15(0.44)
S28 22.939260,113.093658,-4.03 Lecong Residences 2025.08.02 1 1(1) 1(1)
S29 22.941837,113.095718,- 10.78 Lecong Parklands 2025.08.02 86 55(0.64) 19(0.22)
S30 22.950142,113.094528,-11.59 Lecong Residences 2025.08.02 22 22(1) 12(0.55)
S31 22.963081,113.116425,0.54 Lecong Parklands 2025.08.03 27 20(0.74) 14(0.52)
S32 22.955696,113.115623,-5.01 Lecong Residences 2025.08.03 6 6(1) 5(0.83)
S33 22.955128,113.117287,-4.74 Lecong Parklands 2025.08.03 31 31(1) 19(0.61)
S34 22.945007,113.105316,-4.06 Lecong Residences 2025.08.03 6 6(1) 2(0.33)
S35 22.940918,113.105118,-4.17 Lecong Parklands 2025.08.03 22 20(0.91) 13(0.59)
S36 22.940413,113.099709,-2.79 Lecong Residences 2025.08.03 45 45(1) 24(0.53)
S37 22.936750,113.110977,-5.83 Lecong Residences 2025.08.03 16 16(1) 12(0.75)
S38 22.932940,113.113350,-5.53 Lecong Parklands 2025.08.03 14 13(0.93) 11(0.79)
S39 22.932940,113.113350,-5.53 Lecong Parklands 2025.08.03 17 17(1) 13(0.76)
S40 22.932940,113.113350,-5.53 Lecong Parklands 2025.08.03 22 22(1) 11(0.5)
S41 22.963381,113.143616,3.23 Lecong Parklands 2025.08.04 19 19(1) 18(0.95)
S42 22.968616,113.131584,4.26 Lecong Parklands 2025.08.04 54 54(1) 40(0.74)
S43 22.969074,113.119949,-0.59 Lecong Parklands 2025.08.04 41 30(0.73) 21(0.51)
S44 22.963629,113.131615,-7.78 Lecong Residences 2025.08.04 8 8(1) 5(0.63)
S45 22.965038,113.127007,-5.94 Lecong Parklands 2025.08.04 47 47(1) 28(0.6)
S46 22.959116,113.124023,-1.38 Lecong Residences 2025.08.04 19 14(0.74) 12(0.63)
S47 22.959806,113.119278,0.45 Lecong Residences 2025.08.04 26 25(0.96) 14(0.54)
S48 22.956518,113.128998,-1.48 Lecong Parklands 2025.08.04 8 8(1) 7(0.88)
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S49 22.948227,113.131241,2.10 Lecong Parklands 2025.08.04 14 9(0.64) 9(0.64)
S50 22.938456,113.122124,-0.55 Lecong Parklands 2025.08.04 23 18(0.78) 11(0.48)
S51 22.952625,113.143990,-0.38 Lecong Parklands 2025.08.05 28 28(1) 18(0.64)
S52 22.949583,113.137161,-2.05 Lecong Residences 2025.08.05 20 15(0.75) 13(0.65)
S53 22.956423,113.132774,-1.59 Lecong Residences 2025.08.05 37 36(0.97) 21(0.57)
S54 22.934568,113.134209,-2.14 Lecong Parklands 2025.08.05 1 1(1) 1(1)
S55 22.933887,113.137299,-2.47 Lecong Parklands 2025.08.05 11 9(0.82) 8(0.73)
S56 22.931562,113.134583,-6.87 Lecong Parklands 2025.08.05 12 12(1) 10(0.83)
S57 22.929783,113.129494,-2.56 Lecong Parklands 2025.08.05 8 8(1) 7(0.88)
S58 22.927799,113.131149,3.75 Lecong Parklands 2025.08.05 9 6(0.67) 5(0.56)
S59 22.923870,113.141296,1.57 Lecong Parklands 2025.08.05 5 4(0.8) 3(0.6)
S60 22.927221,113.141434,0.54 Lecong Residences 2025.08.05 12 12(1) 3(0.25)
S61 22.958267,113.146805,3.02 Beijiao Parklands 2024.08.06 35 33(0.94) 13(0.37)
S62 22.952589,113.154701,-0.96 Beijiao Parklands 2024.08.06 11 10(0.91) 6(0.55)
S63 22.943665,113.147926,3.20 Beijiao Parklands 2024.08.06 8 6(0.75) 4(0.5)
S64 22.942019,113.145805,-7.25 Beijiao Parklands 2024.08.06 31 30(0.97) 9(0.29)
S65 22.934780,113.165100,-5.23 Beijiao Residences 2024.08.06 16 16(1) 6(0.38)
S66 22.931213,113.165192,4.31 Beijiao Residences 2024.08.06 7 7(1) 3(0.43)
S67 22.924730,113.158623,-1.30 Beijiao Parklands 2024.08.06 37 34(0.92) 14(0.38)
S68 22.917967,113.147591,2.80 Beijiao Parklands 2024.08.06 47 46(0.98) 24(0.51)
S69 22.921291,113.152603,1.91 Beijiao Residences 2024.08.06 9 9(1) 4(0.44)
S70 22.912149,113.161278,1.77 Beijiao Parklands 2024.08.06 24 24(1) 19(0.79)
S71 22.951502,113.176147,4.86 Beijiao Parklands 2025.08.09 28 28(1) 20(0.71)
S72 22.929945,113.196190,-5.67 Beijiao Parklands 2025.08.09 141 138(0.98) 82(0.58)
S73 22.919039,113.199074,-1.49 Beijiao Parklands 2025.08.09 56 56(1) 42(0.75)
S74 22.919886,113.204460,-6.68 Beijiao Parklands 2025.08.09 18 17(0.94) 16(0.89)
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S75 22.903912,113.209663,-0.82 Beijiao Residences 2025.08.09 79 78(0.99) 57(0.72)
S76 22.901756,113.198616,-2.17 Beijiao Parklands 2025.08.09 15 15(1) 8(0.53)
S77 22.901625,113.180038,0.27 Beijiao Parklands 2025.08.09 13 12(0.92) 10(0.77)
S78 22.909956,113.180351,-7.29 Beijiao Residences 2025.08.09 125 117(0.94) 78(0.62)
S79 22.926691,113.174591,-17.54 Beijiao Parklands 2025.08.09 28 25(0.89) 23(0.82)
S80 22.938677,113.185883,-3.38 Beijiao Parklands 2025.08.09 57 57(1) 27(0.47)
S81 22.955221,113.184517,-2.29 Beijiao Parklands 2025.08.10 30 28(0.93) 20(0.67)
S82 22.947800,113.204201,-9.52 Beijiao Parklands 2025.08.10 61 61(1) 33(0.54)
S83 22.940449,113.226410,-9.86 Beijiao Parklands 2025.08.10 72 69(0.96) 44(0.61)
S84 22.934334,113.207855,-8.54 Beijiao Parklands 2025.08.10 27 24(0.89) 13(0.48)
S85 22.930031,113.224838,-11.53 Beijiao Parklands 2025.08.10 6 3(0.5) 1(0.17)
S86 22.937695,113.239998,5.73 Beijiao Parklands 2025.08.10 50 47(0.94) 23(0.46)
S87 22.969385,113.187569,-0.87 Chencun Parklands 2025.08.10 88 81(0.92) 60(0.68)
S88 22.982071,113.156708,-9.29 Chencun Parklands 2025.08.10 38 37(0.97) 20(0.53)
S89 22.972738,113.155708,-10.71 Chencun Parklands 2025.08.10 4 3(0.75) 3(0.75)
S90 22.975294,113.138359,-12.01 Chencun Parklands 2025.08.10 47 46(0.98) 25(0.53)
662
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