Research Article

Molecular Characterization of the Circulating Avian Infectious Bronchitis Viruses in the Mekong Delta Provinces in Vietnam

Nguyen Phuc Khanh1*, Tran Ngoc Bich1, Nguyen Thi Cam Loan2, Chau Thi Huyen Trang1, Nguyen Thanh Lam1, Pham Quynh Yen Thanh1, Nguyen Thi Thuy Hang3

1Faculty of Veterinary medicine, College of Agriculture, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho, Vietnam; 2Faculty of Economy, Agriculture and Processing technology, Vinh Long College, Vinh Long, Vietnam; 3Faculty of Applied biological sciences, Vinh Long University of Technology education, Vinh Long, Vietnam.

Abstract | Avian infectious bronchitis (IB) is an acute respiratory disease affecting the poultry industry worldwide. The S1 sequences of infectious bronchitis virus (IBV) were used to characterize the genetic diversity of the virus in broiler chickens in Vietnam from 2022 to 2023. Phylogenetic and pairwise sequence analyses classified the detected IBV strains into two groups. Group 1 (IBV IBV-VN-CTU-ST1 and IBV-VN-CTU-VL1) was clustered to lineage GI-1 (Genotype Massachusetts) and shared 97.05 – 98.83% and 94.95 – 97.89% nucleotide and amino acid similarities, respectively. In addition, amino acid sequences of S1 region in both strains differ 33 positions with IBV vaccine strain H120 (KF188436). Meanwhile, IBV detected strains in Group 2 (IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3) were clustered to lineage GI-13 (genotype 4/91) and shared 97.80 – 98.56% nucleotide similarity and 96.42 – 97.89% amino acid similarity. Substitutions were identified at 34 of 547 amino acid positions compared to the 4/91 strain. Moreover, the amino acid sequences of the detected strains in the GI-1 and GI-13 lineages contained HVR1 and HVR-2 regions compared to the vaccine strain. This study illustrates the coexistence of the IBV lineages GI-1 and GI-13 in Vinh Long and Soc Trang provinces (The Mekong Delta provinces), Vietnam.

Keywords | Chicken, Infectious bronchitis virus, S1, Vietnam


Received | March 12, 2025; Accepted | April 04, 2025; Published | May 17, 2025

*Correspondence | Nguyen Phuc Khanh, Faculty of Veterinary medicine, College of Agriculture, Can Tho University, Campus II, 3/2 Street, Ninh Kieu District, Can Tho, Vietnam; Email: [email protected]

Citation | Khanh NP, Bich TN, Loan NTC, Trang CTH, Lam NT, Thanh PQY, Hang NTT (2025). Molecular characterization of the circulating avian infectious bronchitis viruses in the mekong delta provinces in Vietnam. Adv. Anim. Vet. Sci. 13(6): 1255-1262.

DOI | https://dx.doi.org/10.17582/journal.aavs/2025/13.6.1255.1262

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright: 2025 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



INTRODUCTION

Infectious bronchitis virus (IBV) belongs to genus Gammacoronavirus, family Coronaviridae. It prominently causes infectious bronchitis (IB) in chickens, a serious infectious disease affecting the respiratory, renal, and reproductive systems (Abbas et al., 2021). Weight loss in broilers and poor egg production and quality in laying hens result from IBV infection, which is a negative economic impact of IB (Cavanagh, 2007; Zhong et al., 2016; Zhang et al., 2020; Bo et al., 2022). The primary host of IBVs is chickens (Gallus gallus); however, enteritis in turkeys and renal, and respiratory lesions in pheasants caused by IBV have been described by De Wit (2000) and Cavanagh et al. (2002). The occurrence of nephropathogenic IBVs and/or secondary bacterial or viral infections might result these losses (Wu et al., 2024). Besides, molecular characterization of IBV were reported worldwide such as in Malaysia (Bhuiyan et al., 2023), China (Wu et al., 2022; Wu et al., 2024), Ecuador (Loor-Giler et al., 2024), Iraq (Sherzad Raoof et al., 2021), Bangladesh (Bhuiyan et al., 2019), Costa Rica (Villalobos-Agüero et al., 2022), and Europe (Lisowska et al., 2017).

The IBV genome is a single-stranded, positive-sense RNA virus approximately 27.6 kb in length. The genome has at least 10 open reading frames (ORFs), which encode numerous proteins essential for virus replication and viral structure. Four structural proteins are encoded from the spike (S), small envelope (E), membrane (M), and nucleocapsid (N) genes (Cavanagh, 2007). The S protein is essential for virus attachment and entry into host cells and contains a virus-neutralizing epitope (Wickramasinghe et al., 2014). The S glycoprotein is divided into two subunits such as S1 and S2. S1, located at the N-terminal region of the S protein, is in charge of binding to host cell receptors, while S2 contributes to the membrane fusion of IBV (Wickramasinghe et al., 2011). Currently, genotyping based on the S1 region is the most popular within IBV classification (Lisowska et al., 2017). It comprised 6 genotypes (GI to GVI) with 32 lineages (Valastro et al., 2016). Furthermore, IBV shows antigenic and genetic diversity, leading to the creation of new genotypes, lineages, and variants (Ma et al., 2019; Molenaar et al., 2020; Bo et al., 2022). Normally, a difference of amino acids in the S1 region by 20 to 50% or 10 to 15 amino acids can cause the emergence of diverse IBV serotypes (Jiang et al., 2017).

In Vietnam, very few studies had been carried out in the Mekong Delta in southern Vietnam to assess the prevalence and molecular characterization of IBVs. Therefore, the study aims to detect and analyze the molecular characterization of circulating IBV strains in some provinces in the Mekong Delta River, Vietnam.

MATERIALS AND METHODS

Ethical Approval

The proposal of this study was allowed by the Institutional Animal Care and Use Committee of Can Tho University, Vietnam.

Samples Collection

A total of 249 mixed samples (tracheas, kidneys, and lungs) were collected from poultry farms in Vinh Long and Soc Trang provinces in the Mekong Delta River (Figure 5) that reported clinical IBV outbreaks from 2022 to 2023. The collected samples were stored in ice bins on the way to the laboratory; and stored in deep freeze (-70oC).

IBV Screening using RT-PCR

RNA extraction: Total RNA from mixed samples was isolated using a kit TopPURE® Tissue Viral Extraction Kit (ABT, Vietnam) according to the manufacturer’s instruction.

cDNA synthesis: cDNA synthesis was performed by using the SensiFASTTM Kit (Bioline, UK) as follows: 10µl total reaction volume consist of 3,5µl of RNase-free water, 4µl of isolated RNA sample, 0,5µl of reverse transcriptase primer, and 2μl of 5x TransAmp Buffer. Then, the mixture was incubated at 250C for 10 minutes followed by heating at 420C for 15 minutes, 850C for 5 minutes, and put on ice for at least 1 minute. Then, cDNA was immediately used for PCR or stored in a deep freezer (-300C) for further use.

Polymerase chain reaction (PCR): The amplification reaction partial N gene was performed by the MyTaqTM DNA Polymerase Kit (Bioline, UK) based on the manufacturer’s instruction. The forward primer (5-TTTTGGTGATGACAAGATGAA-3) and reverse primer (5-CGCATTGTTCCTCTCCTC-3) targeted an amplicon of 403 bp (Feng et al., 2012). PCR reaction was performed as follows: initial denaturation at 95°C for 3min, 35 cycles of degeneration, annealing, and extension (95°C for 15s, 60°C for 15s, 72°C for 30s, respectively), 1 cycle of final extension at 72°C for 3min, and hold at 4°C. Then, PCR products were detected on 1,5% agarose gel electrophoresis and visualized by subsequent UV trans-illumination.

Reverse transcription – polymerase chain reaction (RT-PCR): The S1 gene was amplified by using RT-PCR. The forward primer (GG(T/C) GC(T/G) TAT GC(A/G) GT(A/T) G(T/A)N AA) and reverse primer (CCA TTT A(A/G)A TA(T/A/G/C) AC(A/G) GAT GT) for targeting the S1 gene were designed using NCBI Primer3 (available on the website: https://www.ncbi.nlm.nih.gov/tools/primer-blast/) and BLAST tools (available on the website: https://blast.ncbi.nlm.nih.gov). Then, primer specificity was evaluated by aligning these primers with IBV reference strains using MEGA 6 software.

Sequencing and Phylogenetic Analysis

PCR products were purified using Mega quick-spinTM (Intro Biotechnology, Korea). Following, they were sequenced by using Sanger sequencing. The genetic relationship of S1 sequence between IBV detected and reference strains retrieved from GenBank NCBI (Table 2) was conducted by using MEGA 6 and BioEdit. Sequences of S1 gene were analyzed by using BioEdit sequence alignment editor. Phylogenetic tree of S1 sequences were constructed with MEGA 6 using the maximum likelihood method with 1,000 bootstrap replicates based on the Tamura-Nei parameter model.

 

RESULTS AND DISCUSSION

Infectious bronchitis (IB) is a serious disease affecting the global chicken meat and egg production. In Northern Vietnam, Roan et al. (2023) successfully analyzed the whole genome of IBV. However, no studies about the S1 region have been reported in the Southern region. The S1 glycoprotein contains neutralizing epitopes capable of generating neutralizing antibodies and is associated with serological evolutionary processes, phenotypic changes, and genetic variety. In the present study, the result revealed that S1 region of IBV strains exhibited varying nucleotide lengths, encompassing a range of mutations. It has been reported that serological differences in IBV associated with variants in the hypervariable region (HVR) of the S1 region, and there was a partial genotypic division based on the HVR (Cavanagh et al., 1988; Moore et al., 1997; Cavanagh, 2007).

In this study, the presence of IBVs has been confirmed by RT-PCR targeting the partial N gene. The nucleotide sequences of the S1 region from 5 detected IBV strains and 36 reference strains were used to determine the genetic relationship between these IBV strains. The phylogenetic analysis employing the Maximum Likelihood method showed that the 5 detected IBV strains from the Soc Trang and Vinh Long provinces were grouped as genotype I. Among those detected IBV strains, two IBV strains in Group 1 (IBV-VN-CTU-ST1 and IBV-VN-CTU-VL1) clustered to the same group with H120 (KF188436), H120 (FJ807652), and H52 (AF352315) belonging to lineage GI-1, and shared 97.05% – 98.83% nucleotide similarity and 94.95% – 97.89% amino acid similarity (Figure 1 and Table 1). Meanwhile, three IBV strains in Group 2(IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3) formed a cluster with the 4/91 vaccine strains (KF377577) and 4/91 (UK) (JN192154) belonging to lineage GI-13, and shared a high nucleotide similarity (97.80% – 98.56%) and amino acid similarity (96.42% – 97.89%) (Figure 1 and Table 1). On the other hand, the nucleotide and amino acid similarities between the detected IBV strains and those strains in other lineages including GII-1 [PA/1220/98 (AY789942)], GIII-1 [N1/08 (JN176213)], GIV-1 [98-07484 (AF288467)], GV-1 [N5/03 (DQ059619)], and GVI-1 [VNUA11 (KY992865) and I0221/17 (MK217372)] were relatively low with 60.26% – 69.46% and 52.00% – 67.37%, respectively (Table 1). Based on the results, the IBV strains circulating in commercial chicken farms were classified into two lineages: GI-1 and GI-13. They were the two lineages commonly present worldwide, alongside lineages GI-16 and GI-19 (Valastro et al., 2016).

 

The results of this study were in line with a previous report by Valastro et al. (2016), which showed the nucleotide and amino acid sequence similarity within the identical genotypes of 87% and 86%, respectively. Therefore, there was a circulation of IBV-VN-CTU-ST1 and IBV-VN-CTU-VL1 belonging to the GI-1 lineage; and IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3 belong to the GI-13 lineage. These five strains isolated from chickens exhibiting respiratory and renal symptoms were characterized. The prevalence of these symptoms has been supported by reports from Bhuiyan et al. (2019), Lian et al. (2021) and Khue et al. (2023).

The S1 region comprises a receptor-binding domain (RBD) (positions 19 – 272); along with 3 hypervariable regions: HVR-1 (positions 38 – 67), HVR-2 (positions 91 – 141), and HVR-3 (positions 274 – 387) (Valastro et al., 2016; Zhang et al., 2020). In addition, just a change of three amino acids within the RBD can alter cell tropism. Besides, these changes that occur within the HVR regions can impact the generation of neutralizing antibodies (Leyson et al., 2016). In the present study, there was a distinct differentiation in amino acid sequences of the S1 region among five detected IBV sequences (Figure 2). In particular, two strains in Group 1 (IBV-VN-CTU-VL1 and IBV-VN-CTU-ST1) showed a loss of one amino acid at position 12 and a few substitution mutations compared to other strains in Group 2 (IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3). In addition, IBV strains in Group 2 shared a high similarity among themselves and showed considerable differences from IBVs in Group 1 (Figure 2). This result suggests that IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3 might have genetic similarities. Similarly, IBV-VN-CTU-VL1 and IBV-VN-CTU-ST1 are genetically related. Besides, IBV strains in Group 1 and Group 2 exhibited genetic similarity to the GI-1 and GI-13 lineages, respectively.

 

Amino acid sequences of the S1 region between IBV strains in Group 1, Group 2, and vaccine strains [H120 (KF188436) and 4/91(JN192154)] differ in 33 and 34 positions, respectively. This can be caused by the use of live attenuated vaccines, leading to the virus’s conditional persistence in the environment. In addition, the insertion and substitution mutations at amino acid positions in the HVR-1 and HVR-2 regions were recorded in the detected strains. These mutations might lead to changes in antigenic structure, resulting in antibody evasion and decreased neutralizing antibody efficacy. In addition, these changes can affect the ability of the virus to stimulate the immune response, allowing it to adapt to immune pressure from the host and vaccines, thereby increasing the likelihood of new variant emergence. According to Smati et al., (2002), the IBV outbreaks in vaccinated chickens arise commonly, possibly due to inappropriate vaccination or quick emergence of new IBV variants.

 

Table 2: GenBank accession numbers of detected and IBV reference strains.

No.

Accession No.

Strain

Genotype

Country

Year

1

PV102041

IBV-VN-CTU-VL1

-

Vietnam

2022

2

PV102042

IBV-VN-CTU-VL2

-

Vietnam

2023

3

PV102043

IBV-VN-CTU-VL3

-

Vietnam

2023

4

PV102044

IBV-VN-CTU-ST1

-

Vietnam

2023

5

PV102045

IBV-VN-CTU-ST2

-

Vietnam

2023

6

AF352315

H52

GI-1

China

2005

7

FJ807652

H120

GI-1

China

2009

8

KF188436

H120

GI-1

India

2015

9

GU393336

Holte

GI-2

USA

2011

10

AY789947

PA/5344/98

GI-3

USA

2016

11

AY251816

GX2-98

GI-4

China

2016

12

DQ490215

V2-02

GI-5

Australia

2008

13

DQ515802

J9

GI-6

China

2016

14

JQ964061

L165

GI-8

USA

2013

15

AF006624

Ark_DPI

GI-9

USA

2016

16

AF151960

T6

GI-10

New Zealand

2016

17

JX182785

UFMG/297

GI-11

Brazil

2012

18

M21969

D207

GI-12

Netherlands

1993

19

JN192154

4/91(UK)

GI-13

UK

2016

20

KF377577

4/91

GI-13

China

2013

21

X87238

Belgian_isolate_B1648

GI-14

UK

1996

22

FJ807944

K620/02

GI-15

Korea

2016

23

KP780179

gammaCoV/Ck/Italy/I2022/13

GI-16

Italy

2015

24

AF419314

PA/171/99

GI-17

USA

2016

25

AY296744

JP8127

GI-18

Taiwan

2016

26

HM194640

ck/CH/LDL/091022

GI-19

China

2016

27

AF349620

Qu16

GI-20

Canada

2016

28

DQ064808

Spain/98/313

GI-21

Spain

2008

29

KC577382

40GDGZ-97I

GI-22

China

2013

30

EU780077

IS/1494/06

GI-23

Israel

2016

31

KF809796

IBV506

GI-24

India

2014

32

KP085595

GA/12274/2012

GI-25

USA

2016

33

FN182268

NGA/BP61/2007

GI-26

USA

2016

34

GU301925

Georgia_08

GI-27

USA

2016

35

KC692317

CK_CH_GX_NN1111

GI-28

China

2015

36

AY789942

PA/1220/98

GII-1

USA

2016

37

JN176213

N1/08

GIII-1

Australia

2012

38

AF288467

98-07484

GIV-1

USA

2016

39

DQ059619

N5/03

GV-1

Australia

2016

40

KY992865

VNUA11

GVI-1

Vietnam

2018

41

MK217372

I0221/17

GVI-1

China

2019

 

Moreover, the five detected IBV sequences exhibited numerous substitution and insertion mutations compared to the VNUA11 (KY992865) (Figure 3 and Figure 4). Although the VNUA11 (KY992865) strain was isolated in Vietnam, the similarities in nucleotide and amino acid of S1 sequences between this strain and the detected strains were very low. One possible explanation for this discrepancy is that the VNUA11 strain was obtained from laying hens, different geographical region (Hai Phong), and pathological conditions. Cavanagh (2003) revealed that a 5% difference in the S1 gene sequence would result in poor cross-protection, which would certainly increase the possibility of IBV infection, even in vaccinated chickens. Furthermore, vaccination practices are associated with the evolution of the virus (Franzo et al., 2019). Two main aspects explain the genetic variability of IBV. Firstly, high mutation (substitution, deletion, and insertion) rates cause the errors of the RNA-dependent RNA polymerase (RDRP) during viral genome replication (Mahmood et al., 2011; Feng et al., 2017). Secondly, template switching mechanism in IBV replication might lead to a high incidence of genetic recombination (Cavanagh et al., 2005). This generates genetic variations of IBVs that contribute to their evolution.

 

 

 

CONCLUSIONS AND RECOMMENDATIONS

The five detected strains identified in this study consisting of IBV-VN-CTU-ST1 and IBV-VN-CTU-VL1 belong to the GI-1 lineage (Massachusetts). Meanwhile, IBV-VN-CTU-ST2, IBV-VN-CTU-VL2, and IBV-VN-CTU-VL3 belong to the GI-13 lineage (4/91); and Lineages GI-1 and GI-13 are recognized as common pathogenic lineages in Vinh Long and Soc Trang provinces (The Mekong Delta provinces).

ACKNOWLEDGMENTS

This study was incompletely supported by a fund in part by the Can Tho University Improvement Project VN14-P6, supported by a Japanese ODA loan.

NOVELTY STATEMENT

The novelty in the present study is the identification of circulation of the IBV lineages GI-1 (Massachusetts) and GI-13 (4/91) in some provinces in the Mekong Delta, Vietnam. This contributes to further studies on vaccine development for the control of IBV in Vietnam.

AUTHOR’S CONTRIBUTIONS

Nguyen Phuc Khanh, Tran Ngoc Bich, and Nguyen Thi Cam Loan contributed to the study design; Pham Huynh Yen Thanh, Nguyen Thi Thuy Hang conducted the data collection and analysis. Nguyen Phuc Khanh, Chau Thi Huyen Trang, Nguyen Thanh Lam, and Pham Huynh Yen Thanh prepared the manuscript. All authors have read and approved the manuscript.

Conflict of Interest

The authors declare that there is no conflict of interests regarding the publication of this article.

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