Literature DB >> 26814649

Microevolution of Outbreak-Associated Middle East Respiratory Syndrome Coronavirus, South Korea, 2015.

Moon-Woo Seong, So Yeon Kim, Victor Max Corman, Taek Soo Kim, Sung Im Cho, Man Jin Kim, Seung Jun Lee, Jee-Soo Lee, Soo Hyun Seo, Ji Soo Ahn, Byeong Su Yu, Nare Park, Myoung-don Oh, Wan Beom Park, Ji Yeon Lee, Gayeon Kim, Joon Sung Joh, Ina Jeong, Eui Chong Kim, Christian Drosten, Sung Sup Park.   

Abstract

During the 2015 Middle East respiratory syndrome coronavirus outbreak in South Korea, we sequenced full viral genomes of strains isolated from 4 patients early and late during infection. Patients represented at least 4 generations of transmission. We found no evidence of changes in the evolutionary rate and no reason to suspect adaptive changes in viral proteins.

Entities:  

Keywords:  MERS-CoV; Middle East respiratory syndrome; South Korea; coronavirus; genome sequencing; microevolution; outbreak; phylogenetic analysis; respiratory infections; viruses

Mesh:

Year:  2016        PMID: 26814649      PMCID: PMC4734539          DOI: 10.3201/eid2202.151700

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Middle East respiratory syndrome coronavirus (MERS-CoV), first detected in Saudi Arabia in 2012, is a novel human pathogen that causes severe respiratory illness (). Phylogenetic analyses and transmission studies suggest a zoonotic origin in dromedaries (,). Human-to-human transmission among close contacts of patients (e.g., family members and persons in healthcare settings) has been described (). As of October 2015, the World Health Organization had received reports of 1,593 cases (including at least 568 deaths), most of which were reported from the Arabian Peninsula. In South Korea, the first imported MERS-CoV case was identified on May 20, 2015, in a 68-year-old man who had traveled to the Middle East 2 weeks earlier (). Another 185 persons in South Korea were subsequently infected during a 4-week period, mainly through in-hospital transmission. The unusually large number of cases, which occurred during at least 4 sequential generations of human-to-human transmission, raised questions regarding potential adaptations of MERS-CoV to the human host. To determine the possibility of virus adaptation, we repeatedly sequenced complete genomes for MERS-CoV from 4 patients representing different generations of transmission during the South Korea outbreak.

The Study

Institutional review boards of the Seoul National University Hospital and the National Medical Center approved this study. We tested samples from 4 patients, designated as patients 14, 35, 163, and 168 (Table 1; Technical Appendix Table 1). Patients 14, 35, and 168 were second-, third-, and fourth-generation case-patients, respectively; each had recorded exposure histories () (Figure 1). Patient 163 had a recorded transmission history that traced back to patient 119. However, for 1 interim transmission, the place and approximate time of exposure could be reconstructed, but individual contacts could not be determined. Thus, patient 163 might belong to at least the fourth, but potentially the fifth, generation of transmission ().To identify virus changes, we obtained 2 samples from each of the 4 patients, 1 at the early and 1 at the late stage of infection. Clinical samples were tested for MERS-CoV RNA by reverse transcription PCR (RT-PCR) targeting the upE (upstream of E) and ORF1 (open reading frame 1) genes (). Using virus quantity estimates as a basis, we determined full genomes by amplifying overlapping PCR products and sequencing as previously described ().
Table 1

Characteristics of cases and samples in a study of the microevolution of 8 isolates obtained from 4 patients during a MERS-CoV outbreak, South Korea, 2015*

Patient no., date of symptom onsetSample typeDate of sample collectionCycle threshold for upE/ORF1aTransmission generation (source of transmission)
14, May 25Second (patient 1 to 14)
Sample 1ETAMay 3124.0/25.2
Sample 2
Sputum
Jun 13
29.0/31.5

35, May 29Third (patient 1 to 14 to 35)
Sample 1SputumJun 324.7/25.3
Sample 2

Jun 18
27.5/28.2

168, June 17ETAFourth (patient 1 to 14 to 76 to 168)
Sample 1SputumJun 2131.6/32.3
Sample 2
Sputum
Jun 24
28.9/28.3

163, June 13Fourth or fifth (patient 1 to ? to 52 to 119 to 163)
Sample 1SputumJun 1920.2/20.9
Sample 2SputumJun 2928.4/28.8

*ETA, endotracheal aspirate; MERS-CoV, Middle East respiratory syndrome coronavirus; ORF1a, open reading frame 1a gene; upE, upstream of E gene.

Figure 1

Transmission tree timeline for 8 Middle East respiratory syndrome coronavirus strains isolated during an outbreak in South Korea, 2015. Numbers without parentheses indicate patients in this study; numbers inside parentheses indicate patients not included in this study. The index case-patient is represented by (1). Numbers 1 and 2 following patient identification numbers indicate separate samples that were sequenced. The left edge of each shaded box indicates date of symptom onset for that patient; solid black vertical lines indicate sampling dates. Dashed vertical line indicates transmission from patient 14 to patient 76; (?) indicates unknown source of infection.

*ETA, endotracheal aspirate; MERS-CoV, Middle East respiratory syndrome coronavirus; ORF1a, open reading frame 1a gene; upE, upstream of E gene. Transmission tree timeline for 8 Middle East respiratory syndrome coronavirus strains isolated during an outbreak in South Korea, 2015. Numbers without parentheses indicate patients in this study; numbers inside parentheses indicate patients not included in this study. The index case-patient is represented by (1). Numbers 1 and 2 following patient identification numbers indicate separate samples that were sequenced. The left edge of each shaded box indicates date of symptom onset for that patient; solid black vertical lines indicate sampling dates. Dashed vertical line indicates transmission from patient 14 to patient 76; (?) indicates unknown source of infection. Genome sequences with a minimum length of 29,831 bp (99.04% of the genome) were obtained from each specimen and submitted to GenBank (accession nos. KT374050– KT374057). All sequences clustered phylogenetically with MERS-CoV strains identified during the outbreak and with a sequence from a linked case in China (,). Our findings confirmed previously described evidence for recombination between MERS-CoV clades (). MERS-CoV strain Hu/Riyadh KSA_2959_2015, the closest related strain outside the South Korea outbreak, was used as an outgroup to reconstruct the phylogeny of the 8 viral genomes (Technical Appendix Figure); the strain was isolated in Riyadh, Saudi Arabia, during February 2015. The 8 strains from South Korea shared 99.8%–99.9% nt identity with Hu/Riyadh KSA_2959_2015, deviating by 24–27 positions across the genome. Sequences for the viruses showed 13 variant nucleotide positions: 6 in the ORF1ab gene, 5 in the spike gene, and 1 each in accessory genes ORF4a and ORF5 (Figure 2). Of the 13 variants, 11 caused nonsynonymous substitutions (Technical Appendix Table 2). To analyze substitutions along the transmission tree, we reconstructed the unknown sequence of the index case-patient’s virus based on an isolate from his wife (GenBank accession no. KT029139), a virus from a patient who traveled to China (accession no. KT006149), the co-ancestral strain from Saudi Arabia (accession no. KT026453), and all sequences determined in this study. Considering that sequencing errors were possible in strains KT029139 and KT006149 due to cell culture adaptation and differences in sequencing technique (,), and assuming no mutation reversion within short human-to-human passage, an unequivocal ancestral sequence reconstruction was possible (). The index case-patient showed overt symptoms by May 11, indicating virus exposure occurred around May 1 (). This date coincides with days (May 1 and 2) that the index case-patient spent in Saudi Arabia, where, at the time, viruses most closely related to the South Korea strains were circulating (). Thus, that starting sequence, as determined by ancestral sequence reconstruction, was assumed to have existed on May 1.
Figure 2

Location of the 13 variant nucleotide positions identified in genomes of 8 Middle East respiratory syndrome coronavirus strains isolated during an outbreak in South Korea, 2015. Case-patient numbers are indicated on the left, as are GenBank accession numbers for 2 related strains. For each case, the top and bottom horizontal bars represent the genome sequence generated from the first and second samples, respectively. Letters indicate matching nucleotide positions between samples. Sample collection dates are shown in Table 1. E, small envelope gene; M, matrix gene; N, nucleocapsid gene; ORF, open reading frame.

Location of the 13 variant nucleotide positions identified in genomes of 8 Middle East respiratory syndrome coronavirus strains isolated during an outbreak in South Korea, 2015. Case-patient numbers are indicated on the left, as are GenBank accession numbers for 2 related strains. For each case, the top and bottom horizontal bars represent the genome sequence generated from the first and second samples, respectively. Letters indicate matching nucleotide positions between samples. Sample collection dates are shown in Table 1. E, small envelope gene; M, matrix gene; N, nucleocapsid gene; ORF, open reading frame. Substitutions observed along the transmission tree corresponded, on average, to 3.78 × 10−6 substitutions/site/day (Table 2). The average substitution rate within individual patients (comparing first and second samples for each patient) was not significantly different: 3.44 × 10−6 substitutions/site/day. The between-patient evolutionary rate was projected to be 1.3 × 10−3 substitutions/site/year, which is within the CI of an earlier estimate of the evolutionary rate for MERS-CoV: 1.12 × 10−3 substitutions/site/year (95% CI 8.76 × 10−4 to 1.37 × 10−3) (). This finding suggests that the exclusively human-to-human transmission observed in this outbreak has not led to a change in the apparent evolutionary rate of the virus. No similar mutations occurred in parallel transmission chains leading up to patients 35, 168, and 163, suggesting that quasispecies sampling during transmission events has been stochastic rather than selective. Selective sampling would have been expected in the hypothetical case of emergence of a mutated virus with increased transmissibility or replication level.
Table 2

Substitution rates in strains within and between cases in a study of the microevolution of 8 isolates obtained during a MERS-CoV outbreak, South Korea, 2015*

VariableWithin cases
Between cases
Days between samplesSubstitutions/ observation periodSubstitutions/ site/dDays after start of transmission chain†Substitutions/ observation period†Substitutions/ site/d
Patient no.
141312.58 × 10–63033.35 × 10–6
3515003355.08 × 10–6
168311.12 ×10–55163.94 × 10–6
163
10
0
0

49
4
2.74 × 10–6
Mean (SD)NANA3.44 × 10–6 (4.59 × 10–6)NANA3.78 × 10–6 (8.64 × 10–7)

*MERS-CoV, Middle East respiratory syndrome coronavirus; NA, not applicable.
†Determined on the basis of the reconstructed ancestral sequence existing on May 1, 2015.

*MERS-CoV, Middle East respiratory syndrome coronavirus; NA, not applicable.
†Determined on the basis of the reconstructed ancestral sequence existing on May 1, 2015. The MERS-CoV spike glycoprotein targets the cellular receptor DPP4 (dipeptidyl peptidase 4). The receptor-binding domain (RBD) consists of residues E382 to C585 (,). In this study, we identified 2 RBD variants: D510G and I529T. Recent mutagenesis studies indicate that alterations of key residues within this region (D510A and E513A) could substantially reduce the efficiency of binding and virus entry (,). Because aspartate and glycine have similar physicochemical properties, the D510G variant found in this study might resemble D510A in its potential to reduce receptor binding. Patient 168, a 36-year-old man who worked as a radiology technologist at a university hospital in Seoul, South Korea, carried the D510G variant virus. He was exposed to the virus via patient 76 on June 6. Symptoms developed on June 17, and he was immediately admitted to an isolation room in the hospital. RT-PCR was conducted at admission, but MERS-CoV RNA was not detected until 2 days later, suggesting an initially low level of virus replication. After MERS-CoV infection was confirmed by RT-PCR, combined interferon and ribavirin treatment was administered. The patient’s vital signs were stable, and no lung lesions were seen on chest radiographs during hospitalization. He was discharged on June 30 after 2 consecutively negative RT-PCR results (June 28 and 30). The patient’s mild clinical course and indicators of a low level of virus replication warrant further virologic study of a potentially attenuating effect of the D510G variant. Another RBD variant, I529T, was carried by study patients 14 and 35. Although further studies are needed, physicochemical considerations suggest that this variant is unlikely to affect virus binding. Of note, patient 14 transmitted the virus to >80 tertiary case-patients and was thus considered a superspreader; however, persons infected by this patient, including patient 35, were not superspreaders.

Conclusions

Our study is limited by the absence of full-genome information for the index case-patient’s virus and by the effect of outbreak interventions that may have concealed phenotypic virus changes. However, we found no evidence for an increase in the evolutionary rate or for adaptive changes over at least 4 generations of transmission. Changes that were observed were likely caused by transmission bottleneck effects.

Technical Appendix

Clinical description of the study patients and variants and phylogenetic analysis based on variant sites identified within 8 strains of Middle East respiratory syndrome coronavirus strains isolated during a 2015 outbreak in South Korea.
  15 in total

1.  Assays for laboratory confirmation of novel human coronavirus (hCoV-EMC) infections.

Authors:  V M Corman; M A Müller; U Costabel; J Timm; T Binger; B Meyer; P Kreher; E Lattwein; M Eschbach-Bludau; A Nitsche; T Bleicker; O Landt; B Schweiger; J F Drexler; A D Osterhaus; B L Haagmans; U Dittmer; F Bonin; T Wolff; C Drosten
Journal:  Euro Surveill       Date:  2012-12-06

2.  A conformation-dependent neutralizing monoclonal antibody specifically targeting receptor-binding domain in Middle East respiratory syndrome coronavirus spike protein.

Authors:  Lanying Du; Guangyu Zhao; Yang Yang; Hongjie Qiu; Lili Wang; Zhihua Kou; Xinrong Tao; Hong Yu; Shihui Sun; Chien-Te K Tseng; Shibo Jiang; Fang Li; Yusen Zhou
Journal:  J Virol       Date:  2014-04-09       Impact factor: 5.103

3.  Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia.

Authors:  Ali M Zaki; Sander van Boheemen; Theo M Bestebroer; Albert D M E Osterhaus; Ron A M Fouchier
Journal:  N Engl J Med       Date:  2012-10-17       Impact factor: 91.245

4.  Rooting the phylogenetic tree of middle East respiratory syndrome coronavirus by characterization of a conspecific virus from an African bat.

Authors:  Victor Max Corman; Ndapewa Laudika Ithete; Leigh Rosanne Richards; M Corrie Schoeman; Wolfgang Preiser; Christian Drosten; Jan Felix Drexler
Journal:  J Virol       Date:  2014-07-16       Impact factor: 5.103

5.  Complete Genome Sequence of Middle East Respiratory Syndrome Coronavirus KOR/KNIH/002_05_2015, Isolated in South Korea.

Authors:  You-Jin Kim; Yong-Joon Cho; Dae-Won Kim; Jeong-Sun Yang; Hak Kim; SungHan Park; Young Woo Han; Mi-Ran Yun; Han Saem Lee; A-Reum Kim; Deok Rim Heo; Joo Ae Kim; Su Jin Kim; Hee-Dong Jung; Namil Kim; Seok-Hwan Yoon; Jeong-Gu Nam; Hae Ji Kang; Hyang-Min Cheong; Joo-Shil Lee; Jongsik Chun; Sung Soon Kim
Journal:  Genome Announc       Date:  2015-08-13

6.  Origin and Possible Genetic Recombination of the Middle East Respiratory Syndrome Coronavirus from the First Imported Case in China: Phylogenetics and Coalescence Analysis.

Authors:  Yanqun Wang; Di Liu; Weifeng Shi; Roujian Lu; Wenling Wang; Yanjie Zhao; Yao Deng; Weimin Zhou; Hongguang Ren; Jun Wu; Yu Wang; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  MBio       Date:  2015-09-08       Impact factor: 7.867

7.  Structure of MERS-CoV spike receptor-binding domain complexed with human receptor DPP4.

Authors:  Nianshuang Wang; Xuanling Shi; Liwei Jiang; Senyan Zhang; Dongli Wang; Pei Tong; Dongxing Guo; Lili Fu; Ye Cui; Xi Liu; Kelly C Arledge; Ying-Hua Chen; Linqi Zhang; Xinquan Wang
Journal:  Cell Res       Date:  2013-07-09       Impact factor: 25.617

8.  Transmission and evolution of the Middle East respiratory syndrome coronavirus in Saudi Arabia: a descriptive genomic study.

Authors:  Matthew Cotten; Simon J Watson; Paul Kellam; Abdullah A Al-Rabeeah; Hatem Q Makhdoom; Abdullah Assiri; Jaffar A Al-Tawfiq; Rafat F Alhakeem; Hossam Madani; Fahad A AlRabiah; Sami Al Hajjar; Wafa N Al-nassir; Ali Albarrak; Hesham Flemban; Hanan H Balkhy; Sarah Alsubaie; Anne L Palser; Astrid Gall; Rachael Bashford-Rogers; Andrew Rambaut; Alimuddin I Zumla; Ziad A Memish
Journal:  Lancet       Date:  2013-09-20       Impact factor: 79.321

9.  Human infection with MERS coronavirus after exposure to infected camels, Saudi Arabia, 2013.

Authors:  Ziad A Memish; Matthew Cotten; Benjamin Meyer; Simon J Watson; Abdullah J Alsahafi; Abdullah A Al Rabeeah; Victor Max Corman; Andrea Sieberg; Hatem Q Makhdoom; Abdullah Assiri; Malaki Al Masri; Souhaib Aldabbagh; Berend-Jan Bosch; Martin Beer; Marcel A Müller; Paul Kellam; Christian Drosten
Journal:  Emerg Infect Dis       Date:  2014-06       Impact factor: 6.883

10.  Middle East respiratory syndrome coronavirus neutralising serum antibodies in dromedary camels: a comparative serological study.

Authors:  Chantal B E M Reusken; Bart L Haagmans; Marcel A Müller; Carlos Gutierrez; Gert-Jan Godeke; Benjamin Meyer; Doreen Muth; V Stalin Raj; Laura Smits-De Vries; Victor M Corman; Jan-Felix Drexler; Saskia L Smits; Yasmin E El Tahir; Rita De Sousa; Janko van Beek; Norbert Nowotny; Kees van Maanen; Ezequiel Hidalgo-Hermoso; Berend-Jan Bosch; Peter Rottier; Albert Osterhaus; Christian Gortázar-Schmidt; Christian Drosten; Marion P G Koopmans
Journal:  Lancet Infect Dis       Date:  2013-08-09       Impact factor: 25.071

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1.  Evaluation of a Real-Time Reverse Transcription-PCR (RT-PCR) Assay for Detection of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in Clinical Samples from an Outbreak in South Korea in 2015.

Authors:  Jee-Soo Lee; Ji Soo Ahn; Byeong Su Yu; Sung Im Cho; Man Jin Kim; Jong Moon Choi; Soo Hyun Seo; Sung Sup Park; Moon-Woo Seong
Journal:  J Clin Microbiol       Date:  2017-05-31       Impact factor: 5.948

2.  Prevention and treatment of respiratory viral infections: Presentations on antivirals, traditional therapies and host-directed interventions at the 5th ISIRV Antiviral Group conference.

Authors:  Jennifer L McKimm-Breschkin; Shibo Jiang; David S Hui; John H Beigel; Elena A Govorkova; Nelson Lee
Journal:  Antiviral Res       Date:  2017-11-21       Impact factor: 5.970

Review 3.  MERS coronavirus: diagnostics, epidemiology and transmission.

Authors:  Ian M Mackay; Katherine E Arden
Journal:  Virol J       Date:  2015-12-22       Impact factor: 4.099

4.  Deletion Variants of Middle East Respiratory Syndrome Coronavirus from Humans, Jordan, 2015.

Authors:  Mart M Lamers; V Stalin Raj; Mah'd Shafei; Sami Sheikh Ali; Sultan M Abdallh; Mahmoud Gazo; Samer Nofal; Xiaoyan Lu; Dean D Erdman; Marion P Koopmans; Mohammad Abdallat; Aktham Haddadin; Bart L Haagmans
Journal:  Emerg Infect Dis       Date:  2016-04       Impact factor: 6.883

5.  Middle East respiratory syndrome coronavirus disease is rare in children: An update from Saudi Arabia.

Authors:  Jaffar A Al-Tawfiq; Rana F Kattan; Ziad A Memish
Journal:  World J Clin Pediatr       Date:  2016-11-08

6.  Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus.

Authors:  Donghyun Park; Hee Jae Huh; Yeon Jeong Kim; Dae-Soon Son; Hyo-Jeong Jeon; Eu-Hyun Im; Jong-Won Kim; Nam Yong Lee; Eun-Suk Kang; Cheol In Kang; Doo Ryeon Chung; Jin-Hyun Ahn; Kyong Ran Peck; Sun Shim Choi; Yae-Jean Kim; Chang-Seok Ki; Woong-Yang Park
Journal:  Cold Spring Harb Mol Case Stud       Date:  2016-11

7.  A camel-derived MERS-CoV with a variant spike protein cleavage site and distinct fusion activation properties.

Authors:  Jean Kaoru Millet; Monty E Goldstein; Rachael N Labitt; Hung-Lun Hsu; Susan Daniel; Gary R Whittaker
Journal:  Emerg Microbes Infect       Date:  2016-12-21       Impact factor: 7.163

Review 8.  Festina lente: hydroxychloroquine, COVID-19 and the role of the rheumatologist.

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9.  Spread of Mutant Middle East Respiratory Syndrome Coronavirus with Reduced Affinity to Human CD26 during the South Korean Outbreak.

Authors:  Yuri Kim; Shinhye Cheon; Chan-Ki Min; Kyung Mok Sohn; Ying Jin Kang; Young-Je Cha; Ju-Il Kang; Seong Kyu Han; Na-Young Ha; Gwanghun Kim; Abdimadiyeva Aigerim; Hyun Mu Shin; Myung-Sik Choi; Sanguk Kim; Hyun-Soo Cho; Yeon-Sook Kim; Nam-Hyuk Cho
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10.  MERS-CoV spillover at the camel-human interface.

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