Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2020 May 26;15(5):e0232790. doi: 10.1371/journal.pone.0232790

Cross-sectional prevalence study of MERS-CoV in local and imported dromedary camels in Saudi Arabia, 2016-2018

Ahmed M Tolah 1,2, Saad B AL Masaudi 2, Sherif A El-Kafrawy 1,3, Ahmed A Mirza 3, Steve M Harakeh 1,3, Ahmed M Hassan 1, Mohammed A Alsaadi 1, Abdulrahman A Alzahrani 4, Ghaleb A Alsaaidi 4, Nabil M S Amor 5, Abdulaziz N Alagaili 5, Anwar M Hashem 6,7,*, Esam I Azhar 1,3,*
Editor: Stefan Pöhlmann8
PMCID: PMC7250453  PMID: 32453746

Abstract

The Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) is an endemic virus in dromedaries. Annually, Saudi Arabia imports thousands of camels from the Horn of Africa, yet the epidemiology of MERS-CoV in these animals is largely unknown. Here, MERS-CoV prevalence was compared in imported African camels and their local counterparts. A total of 1399 paired sera and nasal swabs were collected from camels between 2016 and 2018. Imported animals from Sudan (n = 829) and Djibouti (n = 328) were sampled on incoming ships at Jeddah Islamic seaport before unloading, and local camels were sampled from Jeddah (n = 242). Samples were screened for neutralizing antibodies (nAbs) and MERS-CoV viral RNA. The overall seroprevalence was 92.7% and RNA detection rate was 17.2%. Imported camels had higher seroprevalence compared to resident herds (93.8% vs 87.6%, p <0.01) in contrast to RNA detection (13.3% vs 35.5%, p <0.0001). Seroprevalence significantly increased with age (p<0.0001) and viral RNA detection rate was ~2-folds higher in camels <2-year-old compared to older animals. RNA detection was higher in males verses females (24.3% vs 12.6%, p<0.0001) but seroprevalence was similar. Concurrent positivity for viral RNA and nAbs was found in >87% of the RNA positive animals, increased with age and was sex-dependent. Importantly, reduced viral RNA load was positively correlated with nAb titers. Our data confirm the widespread of MERS-CoV in imported and domestic camels in Saudi Arabia and highlight the need for continuous active surveillance and better prevention measures. Further studies are also warranted to understand camels correlates of protection for proper vaccine development.

Introduction

Since its first isolation from a patient in Saudi Arabia in 2012, the Middle East respiratory syndrome-Coronavirus (MERS-CoV) has been causing human infections coupled with high fatality rates [15]. As of October 2019, 2468 confirmed human cases and 851 deaths (~34.5%) have been reported to the World Health Organization (WHO) from 27 countries [6]. Nonetheless, most of the cases and deaths are from Saudi Arabia, and all cases reported from Africa, Europe or North America are epidemiologically linked to the Arabian Peninsula [6]. While good control and prevention measures, when in place, limited MERS-CoV spread in healthcare and household settings, the majority of MERS cases are secondary due to human-to-human transmission in such locations [4,5,7,8].

Current epidemiological evidence suggest that dromedary camels are the only known virus reservoir and the main source of zoonotic transmission to humans [9,10] despite the reports suggesting a possible MERS-CoV circulation in other animal species such as sheep, goats, alpacas and llamas [1114]. Indeed, several studies have linked human cases with exposure to infected camels where identical or nearly identical camel and human MERS-CoV isolates were detected [1519]. Furthermore, seroprevalence rate in those who are in contact with camels is markedly higher than the general population [2022], further indicating that camel exposure is a major risk factor [23].

Widespread active MERS infection was detected in dromedaries from 15 different countries in Asia (Saudi Arabia, United Arab Emirates, Qatar, Oman, Iraq, Jordan, Kuwait, Iran and Pakistan) and Africa (Egypt, Ethiopia, Kenya, Nigeria, Burkina Faso and Morocco) [9,10]. Interestingly, no viral RNA was found in camels from some Asian countries despite the seropositivity in their dromedary population [13,24]. Viral shedding in dromedaries usually lasts for 2 weeks but RNA positivity could persist for extended period of time and could be detected in stool and milk in addition to respiratory secretions [2531].

Seropositivity in dromedaries ranged between ~30–100% in 20 Middle Eastern and African countries with lower rates being observed in the Canary Islands (4–9%) [9,10]. On the other hand, no MERS-CoV seropositive dromedaries were found in North America, Australia, Kazakhstan and Japan [9,10]. Similarly, there is no evidence of MERS-CoV circulation in bactrian camels in Mongolia and Kazakhstan [3234]. Of note, presence of neutralizing antibodies (nAbs) in camels could only provide partial protection but not sterilizing immunity possibly due to exposure to different lineages of the virus and/or waning of nAbs [2729,3537]. Furthermore, it has been shown that increase in dromedary age is usually associated with increase in seroprevalence and decrease in positivity for MERS-CoV RNA [9,10].

Serological evidence suggests that MERS-CoV or related virus has been circulating in African dromedaries for >35 years [38], yet data on autochthonous MERS infections in humans in Africa are sparse mostly probably due to limited epidemiological surveillance and/or genetic divergence of African MERS-CoV lineages compared to those in the Arabian Peninsula [35,39]. Interestingly, African MERS-CoV lineages do not seem to be established or cause infections in camels or humans in Saudi Arabia despite the continued importation of African camels into the Arabian Peninsula [40].

Most imported camels in Saudi Arabia come from the Horn of Africa (Eritrea, Ethiopia, Djibouti, Somalia, Sudan, and Kenya). They are mostly received via Jeddah Islamic seaport (Western region of Saudi Arabia) and to a lesser extent at Jizan seaport (Southwestern region of Saudi Arabia) where they may or may not be quarantined for few days before their movement to local markets [41]. These imported camels are usually adult animals or at least >2-year-old, however, young and juvenile camels (<2-year-old) could also comprise a significant number of incoming shipments. However, the epidemiology of MERS-CoV in imported dromedaries in Saudi Arabia is largely unknown. Therefore, the aim of this study was to investigate and compare the prevalence of MERS-CoV in imported camels from Sudan and Djibouti and local camels in Jeddah, Saudi Arabia by testing for nAbs and viral RNA to better evaluate the role of incoming animals in the introduction and epidemiology of the disease in Saudi Arabia and to help in implementing proper control measures.

Materials and methods

Samples

A total of 1399 paired blood samples and nasal swabs were collected from imported and local dromedary camels. Samples from imported camels (n = 1157) were collected between August 2016 and August 2018. These samples were randomly collected from ~15% of the animals in each animal compartment on incoming vessels from Sudan and Djibouti through Jeddah Islamic seaport before ships unloading. Samples from local camels (n = 242) were collected between March 2018 and August 2018 from 4 local farms north and south of Jeddah (30% of the sampled camels) and one local abattoir (70% of the sampled animals). All samples were transported in refrigerated containers for processing and analysis. Blood samples were collected from jugular vein in pre-labelled tubes which were centrifuged at 2,500 rpm for 5 min, and serum was separated, aliquoted and frozen at −80°C until testing. Nasal swabs were collected using dacron swabs in viral transport medium (VTM) and stored at -80°C until RNA extraction. Nasal swabs used in this study were from a larger sample pool used to study the genetic diversity of MERS-CoV in Saudi Arabia [40].

RNA-extraction and reverse transcription-PCR-screening

Viral RNA was extracted from 200μl of the VTM sample using QiaAmp viral RNA extraction kit (Qiagen, Germany) according to the manufacturer’s instructions. Testing for MERS-CoV was done using real-time reverse transcription-PCR (RT-PCR) assays targeting upE and ORF 1A as described previously [42]. Samples that were positive for both targets with cycle thresholds (Ct) values <40 were considered positive.

Live virus microneutralization assay

Serum samples were tested for nAbs as described previously [43]. Briefly, heat inactivated sera were diluted at 1:20 and co-incubated with equal volume of media containing 100 TCID50 of MERS-CoV for 1 h at 37°C to test for nAbs. Serum-virus mixture was then transferred to confluent Vero E6 monolayer in a 96-well plate and incubated for three days at 37°C in 5% CO2 humidified incubator. Each sample was tested in quadruplicates and samples with inhibited cytopathic effect (CPE) in all wells were considered positive with nAb titer of ≥20. Around 20% of the seropositive serum samples from viral RNA shedding camels were randomly selected and serially diluted to determine nAb titers.

Statistical analysis

Two-tail Chi22) test, Fisher exact test and 95% confidence intervals (CIs) were calculated using OpenEpi (Open Source Epidemiologic Statistics for Public Health). A p value of <0.05 was considered significant for all analyses.

Ethics statement

The study was conducted after obtaining the needed permits and approvals from the Directorate of Agriculture, Ministry of Environment, Water and Agriculture, Jeddah, Saudi Arabia.

The study was approved by the Unit of Biomedical Ethics, King Abdulaziz University Hospital, (Approval number 16–121)

Results

Overall demography of sampled camels

Among the total samples (n = 1399), 82.7% (n = 1157) were collected from imported African dromedaries in which 71.7% (n = 829) and 28.3% (n = 328) were from Sudan and Djibouti, respectively (Fig 1). The remaining 17.3% of the samples (n = 242) were from local camels sampled in Jeddah. Sex and age were only known for 83.2% (n = 1164) of the sampled camels. Male camels represented 68.3% (n = 800) of the sampled animals compared to 31.3% (n = 364) females. Most camels were older than 2 years (61.3%, n = 713) as compared to younger animals between the age of 1–2 years (35.0%, n = 408) or those <1-year-old (3.7%, n = 43) as shown in Table 1. The details of camel population characteristics are described in a previously published article (REF).

Fig 1. Map of source of collected samples from imported and local dromedary camels.

Fig 1

Results from each source is shown as number and percentage of detected nAbs and viral RNA.

Table 1. Overall positivity for MERS-CoV nAbs and RNA in imported and local dromedaries in Saudi Arabia.

Samples tested n (%) MN Assay Positive n (%; 95% CI) RT-PCR Positive n (%; 95% CI) MN Assay & RT-PCR Positive n (%; 95% CI)
Origin
Djibouti 328 (23.4) 321 (97.9; 96.3–99.4) 37 (11.3; 7.9–14.7) 34 (10.4; 7.1–13.7)
Sudan 829 (59.3) 764 (92.2; 90.3–94.0) 117 (14.1; 11.7–16.5) 99 (11.9; 9.7–14.2)
Jeddah 242 (17.3) 212 (87.6; 83.5–91.8) 86 (35.5; 29.5–41.6) 76 (31.4; 25.6–37.3)
p value <0.0001 <0.0001 <0.0001
Age*
< 1 year 43 (3.1) 29 (67.4; 53.4–81.5) 4 (9.3; 0.6–18.0) 4 (9.3; 0.6–18.0)
1–2 years 408 (29.2) 353 (86.5; 83.2–89.8) 116 (28.4; 24.1–32.8) 91 (22.3; 18.3–26.3)
>2 year 713 (51.0) 688 (96.5; 95.1–97.8) 120 (16.8; 14.1–19.6) 114 (16.0; 13.3–18.7)
p value <0.0001 <0.0001 0.0096
Sex*
Male 800 728 (91.0; 89.0–93.0) 194 (24.3; 21.3–27.2) 165 (20.6; 17.8–23.4)
Female 364 342 (94.0; 91.5–96.4) 46 (12.6; 9.2–16.1) 44 (12.1; 8.7–15.4)
p value 0.0862 <0.0001 <0.0001
Year
2016 382 354 (92.7; 90.1–95.3) 42 (11.0; 7.9–14.1) 30 (7.9; 5.2–10.6)
2017 637 595 (93.4; 91.5–95.3) 73 (11.5; 9.0–13.9) 68 (10.7; 8.3–13.1)
2018 380 348 (91.6; 88.8–94.4) 125 (32.9; 28.2–37.6) 111 (29.2; 24.6–33.8)
p value 0.5551 <0.0001 0.0004
Total 1399 1297 (92.7; 91.4–94.1) 240 (17.2; 15.2–19.1) 209 (14.9; 13.1–16.8)

*Sex and age were only available for 1164 samples (83.2%) out of the 1399 tested samples.

Seroprevalence of MERS-CoV in imported and local dromedaries in Saudi Arabia

Out of the 1399 tested sera, 92.7% (n = 1297) were seropositive with nAb titer ≥20. The seroprevalence was significantly higher (p <0.01) in imported camels (93.8%) compared to local animals (87.6%) (Fig 2). The highest seroprevalence was found in camels from Djibouti (97.9%, 95% CI 96.3–99.4) followed by those from Sudan (92.2%, 95% CI 90.3–94.0) compared to camels from Jeddah (87.6%, 95% CI 83.5–91.8) (Fig 2 and Table 1).

Fig 2. Seroprevalence rate in imported and local dromedary camels based on age and sex.

Fig 2

Percentage of seroprevalence is shown for each category. ****p<0.0001, ***p <0.001, **p <0.01, *p <0.05 and NS denotes not statistically significant (Fisher Exact Test).

Seroprevalence significantly (p <0.0001) increased with age as lower rates were observed in juvenile camels (<1-year-old) compared those >1-year-old despite their origin (Fig 2). The highest seroprevalence rate was found in camels aged >2 years (96.5%, 95% CI 95.1–97.8) followed by those aged 1–2 years (86.5%, 95% CI 83.2–89.8) and <1 year (67.4%, 95% CI 53.4–81.5) (Table 1). However, there was no significant difference between local and imported camels from the same age group except for adult camels from Djibouti (97.7%) which were significantly higher (p <0.001) than adults from Sudan (91.5%) and Jeddah (89.8%) as shown in Fig 2.

Although higher seroprevalence was observed in females (94%, 95% CI 91.5–96.4) compared to males (91%, 95% CI 89.0–93.0), the overall differences did not reach significant levels for imported and local camels (Fig 2 and Table 1). However, the rate was significantly higher (p <0.001) in females compared to males in Sudanese camels only (Fig 2). There was also a significant difference (p <0.05) between local and imported male camels mostly because of the significantly higher rate (p <0.0001) in animals from Djibouti compared to those from Sudan and Jeddah (Fig 2). No statistical difference was found based on the year of collection (Table 1). Together, these data showed that most imported and local camels have been exposed to MERS-CoV in which seropositivity was significantly higher in imported and older animals. Details of seroprevalence from each of the three countries are shown in Table 2.

Table 2. Positivity for MERS-CoV nAbs and RNA in camels based on age, sex and year of collection for each individual country.

Samples tested n (%) MN Assay Positive n (%) RT-PCR Positive n (%) MN Assay & RT-PCR Positive n (%)
Sudan Age*
< 1 year 17 (2.1) 11 (64.7) 1 (5.9) 1 (5.9)
1–2 years 304 (36.7) 263 (86.5) 83 (27.3) 66 (21.7)
>2 year 296 (35.7) 286 (96.6) 33 (11.1) 32 (10.8)
Unknown 212 (25.6) 204 (96.2) 0 (0.0) 0 (0.0)
Sex*
Male 315 (38.0) 274 (87.0) 84 (26.7) 67 (21.3)
Female 302 (36.4) 286 (94.7) 33 (10.9) 32 (10.6)
Unknown 212 (25.6) 204 (96.2) 0 (0.0) 0 (0.0)
Year
2016 359 (43.3) 331 (92.2) 42 (11.7) 30 (8.4)
2017 427 (51.5) 392 (91.8) 73 (17.1) 68 (15.9)
2018 43 (5.2) 41 (95.3) 2 (4.7) 1 (2.3)
Total 829 764 (92.2) 117 (14.1) 99 (11.9)
Djibouti Age*
< 1 year 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
1–2 years 25 (7.6) 24 (96.0) 0 (0.0) 0 (0.0)
>2 year 280 (85.4) 274 (97.9) 37 (13.2) 34 (12.1)
Unknown 23 (7.0) 23 (100.0) 0 (0.0) 0 (0.0)
Sex*
Male 305 (93.0) 298 (97.7) 37 (12.1) 34 (11.1)
Female 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
Unknown 23 (7.0) 23 (100.0) 0 (0.0) 0 (0.0)
Year
2016 23 (7.0) 23 (100.0) 0 (0.0) 0 (0.0)
2017 210 (64.0) 203 (96.7) 0 (0.0) 0 (0.0)
2018 95 (29.0) 95 (100.0) 37 (38.9) 34 (35.8)
Total 328 321 (97.9) 37 (11.3) 34 (10.4)
Jeddah Age*
< 1 year 26 (10.7) 18 (69.2) 3 (11.5) 3 (11.5)
1–2 years 79 (32.6) 66 (83.5) 33 (41.8) 25 (31.6)
>2 year 137 (56.6) 128 (93.4) 50 (36.5) 48 (35.0)
Unknown 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
Sex*
Male 180 (74.4) 156 (86.7) 73 (40.6) 64 (35.6)
Female 62 (25.6) 56 (90.3) 13 (21.0) 12 (19.4)
Unknown 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
Year
2016 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
2017 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
2018 242 (100.0) 212 (87.6) 86 (35.5) 76 (31.4)
Total 242 212 (87.6) 86 (35.5) 76 (31.4)

MERS-CoV RNA prevalence in imported and local dromedaries in Saudi Arabia

Next, we determined the prevalence rate of MERS-CoV RNA. Viral RNA was detected in 240 nasal swabs (17.2%, 95% CI 15.2–19.1) of the total 1399 sampled animals (Fig 3 and Table 1), with significantly higher detection rate (p <0.0001) in local camels (Fig 3). Specifically, MERS-CoV RNA was detected in 35.5% (95% CI 29.5–41.6) of camels from Jeddah, in 14.1% (95% CI 11.7–16.5) of camels from Sudan, and in 11.3% (95% CI 7.9–14.7) of camels from Djibouti (Fig 3 and Table 1). Genetic characteristics of the domestic and imported strains together with phylogenetic analysis are discussed in a previous publication [40].

Fig 3. RNA detection rate in imported and local dromedary camels based on age and sex.

Fig 3

Percentage of seroprevalence is shown for each category. ****p<0.0001, ***p <0.001, **p <0.01, *p <0.05 and NS denotes not statistically significant (Fisher Exact Test).

Interestingly, RNA detection was markedly higher in camels aged 1–2 years (28.4%, 95% CI 24.1–32.8) compared to younger (9.3%, 95% CI 0.6–18.0) and older animals (16.8%, 95% CI 14.1–19.6) (Table 1). However, no significant difference between juvenile camels <1-year-old and adult animals >1-year-old was observed except for local dromedaries from Jeddah (p <0.01) as shown in Fig 3. While there was no significant difference in the detection rate of MERS-CoV in local and imported juveniles, rates of viral RNA detection from local adults (>1-year-old) was significantly higher (p <0.0001) when compared to imported adult camels from Sudan and Djibouti (Fig 3).

Male camels always had significantly higher detection rate (p <0.0001) of MERS-CoV compared to females despite their origin except for Djibouti as no females were sampled (Fig 3 and Table 1). Consistent with the overall higher rate in local camels, viral RNA was detected in male and female resident animals at significantly higher rates (p <0.0001 and p <0.05, respectively) when compared to imported camels (Fig 3). Furthermore, significantly higher number (p <0.0001) of male camels from Sudan (26.7%) tested positive for MERS-CoV compared to males from Djibouti (12.1%) (Fig 3). While we observed significant difference (p <0.0001) in MERS-CoV RNA detection based on the year of collection (Table 1), these results could be biased because of the fact that only camels from Sudan were sampled during the three years and those from Djibouti and Jeddah were sampled only during 2018 (Table 2).

Concurrent positivity for MERS-CoV RNA and nAbs

We found that 209 of the total camels (14.9%; 95% CI 13.1–16.8) were positive for both MERS-CoV RNA and nAbs which represents >87% of the RNA positive animals (Table 1), suggesting that these camels were seroconverted, re-infected or have maternal nAbs. Indeed, 100% of the juvenile camels <1-year-old that were MERS-CoV RNA positive were also seropositive (Table 1), most probably due to acquiring maternal nAbs. Apart from that, concurrent positivity for viral RNA and nAbs increased with age as 78.5% and 95.0% of the RNA positive camels aged 1–2 years and >2 years were also seropositive, respectively (Table 1). Sex was also a factor in dual positivity among the RNA positive camels with 95.7% (44 out of 46) and 85.1% (165 out of 194) prevalence in females and males, respectively.

No significant differences in viral load (as evaluated by comparing their Ct values in the real time RT-PCR assay) were found based on sex or age except for adult camels >2-year-old compared to those aged between 1–2 years (p <0.001) as shown in Fig 4A and 4B. Of note, significantly higher viral load (p <0.0001) was observed in seronegative camels (mean Ct value ~25.8) compared to seropositive animals (mean Ct value ~33.0) as shown in Fig 4C. Furthermore, we determined the nAb titers in 40 samples from those positive for both viral RNA and nAbs and found that the overall geometric mean titer of nAbs was 8.5±1.3 log2 (range 4.3–13.3 log2). These titers showed strong positive correlation with Ct values (Pearson correlation coefficient 0.5602, p = 0.0003).

Fig 4. Comparison of MERS-CoV RNA load based on age, sex and presence of nAbs.

Fig 4

One-way ANOVA with Bonferroni post-test was used for (a) and student’s t test was used in (b and c). ****p<0.0001, ***p <0.001 and NS denotes not statistically significant.

Discussion

Our serological results indicate a widespread distribution of MERS-CoV in dromedaries from all tested countries where most imported and local camels (92.7%) showed an evidence of previous exposure to MERS-CoV. Seropositivity was significantly higher in imported compared to local dromedaries consistent with most previous studies [9,10,12,24,29]. The highest seroprevalence was found in camels from Djibouti (97.9%), which is reported for the first time, followed by those from Sudan (92.2%) compared to local camels from Jeddah (87.6%).

On the contrary, imported camels had significantly lower MERS-CoV RNA (11.3% and 14.1% in camels from Djibouti and Sudan, respectively) compared to locally sampled animals (35.5%). This is in accordance with a previous report from Saudi Arabia [44] but not those from Egypt [12,29,45]. However, all these previous studies have sampled imported camels at abattoirs, markets and quarantines compared to camels in our study which were sampled on the incoming individual ships before unloading and exposure to other camels. Therefore, some uncertainties of these previous findings remain regarding the extent of exposure of imported camels to their local counterpart at such sites and the possible amplification of the infection at the end of the value-chain and before the actual sampling. It is noteworthy that the rate of positivity for MERS-CoV RNA in local camels is higher than those reported by most previous studies from Saudi Arabia which ranged from 12.1%-29.0% [18,44,4648] except for one study which showed a higher rate of 56.0% [19]. Furthermore, while temporal viral shedding has been suggested between December to May [19,29], viral RNA was detected throughout the sampling period in the current study except for the months of July and August in imported camels (data not shown) as previously reported [44].

Previous studies have shown contradicting data on the effect of sex on seropositivity and presence of viral RNA [12,18,29,4951]. Here, we observed higher seroprevalence rates in females compared to males, but these differences were not significant for both imported and local camels except for camels from Sudan. However, there was more significantly seropositive imported males compared to local males. Detection rate of MERS-CoV was significantly higher in males vs females despite their origin consistent with most previous reports [18,29,51] except for one study from Egypt [12]. Nonetheless, local male and female camels were significantly more positive for viral RNA compared to imported animals.

Significant incremental increase in seroprevalence was observed in older camels in this study in which the overall rates increased from 67.4% in camels aged <1 year to 86.5% and 96.5% in those 1-2-year-old and >2-year-old, respectively. Similar age dependent pattern of seroprevalence was reported for MERS-CoV in camels in most other studies [9,10]. No significant difference was found in seropositivity between local and imported camels from the same age group except for adults from Djibouti which were significantly higher than their counterparts from Sudan and Saudi Arabia. Of note that camels from Djibouti were all >1-year-old. While no differences were observed between those aged >2 years from Djibouti (97.9%) compared to animals from Sudan or Saudi Arabia (96.6% and 93.4%, respectively), camels in the age range of 1–2 years were significantly more seropositive in Djibouti (96.0%) when compared to those from Sudan (86.5%) and Saudi Arabia (83.5%) (Table 2).

Several studies have shown an inverse association between viral RNA positivity and age in dromedaries in countries in Africa and the Middle East [18,19,36,46,51], although no significant differences were found in some studies from Egypt [12,29]. In contrast, we found that the overall rate of viral RNA positivity in camels >1-year-old (21.1%) is significantly higher than that in dromedaries <1-year-old (9.3%). Interestingly, RNA detection was significantly higher in camels aged 1–2 years with an overall rate of 28.4% compared to 9.3% and 16.8% in younger and older animals, respectively (Table 1). This pattern was clearly observed when age stratified data from each country were examined in which 41.8% and 27.3% of the 1-2-year-old camels were positive compared to 36.5% and 11.1% of the >2-year-old camels and 11.5% and 5.9% of the <1-year-old animals from Saudi Arabia and Sudan, respectively (Table 2). Notably, none of the 1-2-year-old camels from Djibouti had any evidence of active MERS-CoV infection compared to those >2-year-old. Together, these data show that there are almost 2-fold higher infection rate in camels <2 years compared to older camels suggesting that MERS-CoV infection mostly occurs in young camels and could represent a major source of human infections. Also, the presence of naïve young camels in such environment or at any stage in the value-chain could contribute to virus maintenance and amplification due to co-mixing or co-housing.

More than 87% of viral RNA shedding dromedaries were also seropositive for nAbs in which such camels were detected from all three countries. Generally, concurrent rate of positivity for viral RNA and nAbs was age-dependent (78.5% and 95.0% in camels aged 1–2 years and >2 years, respectively) except for camels <1-year-old which showed 100% positivity form both RNA and nAbs. While the presence of nAbs in animals >1-year-old could be due to seroconversion during early stage of infection, intermittent viral RNA shedding or re-infection possibly with different MERS-CoV lineages, the 100% positivity for MERS-CoV RNA and nAbs in juvenile camels suggest that these nAbs could be maternal rather than acquired due to infection. However, the possibility of infection of juvenile camels cannot be excluded completely. These data are in accordance with several previous studies which found nAbs and viral RNA shedding in both calves and older dromedaries [12,36,37]. Sex was also a determinant factor in co-positivity. We observed significantly more positive males vs females for both RNA and nAbs consistent with the overall higher rate of RNA shedding in males and almost similar seropositivity. However, females positive for MERS-CoV RNA were more prone to be seropositive (95.7%) compared to males (85.1%).

While the role of nAbs in preventing infection is still not fully clear especially with the observed decline in their titers over time [29,36,37], some existing evidence suggest that these Abs could minimize viral shedding and that sterile immunity could only be achieved at very high levels of nAbs [30,36,37]. Indeed, we found that seronegative camels tend to have significantly higher viral load compared to seropositive animals. Furthermore, we found a strong correlation between nAb titers and viral load in the cohort of camels that were positive for both viral RNA and nAbs. These data clearly suggest that while presence of nAbs could provide partial protection in camels and reduce viral load, our data point towards the fact that even high nAb titers cannot confer sterilizing immunity and prevent MERS-CoV re-infection in dromedaries.

In summary, our data show large geographical distribution and high endemicity of MERS-CoV in camels as most imported and local camels had serological evidence of exposure to the virus. Significantly higher seropositivity was found in imported and adult animals, and increased viral RNA excretion was detected in local, young (<2-year-old) and male camels. Nonetheless, MERS-CoV circulation was not uncommon among imported or adult camels. Furthermore, our findings clearly show that the presence of high titers of nAbs is not necessarily sufficient to prevent MERS-CoV infections in dromedaries. Although the sampling time frames of imported and domestic camels are different, as imported camels were sampled between 2016–2018 while domestic camels were only sampled in 2018, the results are still indicative of the prevalence of MERS-CoV in both groups and require further investigation and continuous screening programs to evaluate the seasonality of the infection.

These findings have important implications with respect to prevention, epidemiology of the disease and vaccination. First, most imported camels are used for meat consumption and they are destined to fattening farms and/or holding yards and ultimately to abattoirs and markets where increased viral shedding has been reported [44,48,51]. The presence of naïve as well as viral shedding imported camels during co-housing or co-mixing in such locations with resident animals would certainly increase the chance of virus maintenance and amplification. This could also contribute to co-infection and may lead to recombination events between different viral lineages. Therefore, better prevention and countermeasures should be applied not only to minimize virus circulation in camels but also to reduce any possible zoonotic transmission to high risk groups such as abattoir workers, shepherds, veterinary doctors, and camel handlers. Second, continuous systematic and longitudinal sampling and testing should be an integral part of any existing surveillance program to better understand the epidemiology of the disease, the dynamics of the infection and the various risk factors. Third, more studies are obviously needed to understand the correlates of protection in camels for better application and implementation of camel vaccination strategies as a one-health approach.

Acknowledgments

The authors are extremely grateful to Dr. Hamad Albatshan, Deputy Minister for Animal Resources, Ministry of Environment water and Agriculture, Saudi Arabia for his unlimited and enthusiastic support to undertake this study. We would like also to thank King Fahd Medical Research Center (KFMRC), King Abdulaziz University (KAU) for the support. Also, we wish to thank the King Abdulaziz City for Science and Technology (KACST) for their generous funding through the MERS-CoV research grant program (number 09–1), which is a part of the Targeted Research Program (TRP).

Data Availability

All relevant data are within the manuscript.

Funding Statement

This work was supported by King Fahd Medical Research Center (KFMRC), King Abdulaziz University (KAU), Jeddah, Saudi Arabia, the Vice Deanship of Research Chairs at the King Saud University, Riyadh, Saudi Arabia, and King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia [grant number 09-1].The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Zaki AM, van Boheemen S, Bestebroer TM, et al. Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia. N Engl J Med 2012; 367: 1814–1820. 10.1056/NEJMoa1211721 [DOI] [PubMed] [Google Scholar]
  • 2.van Boheemen S, de Graaf M, Lauber C, et al. Genomic characterization of a newly discovered coronavirus associated with acute respiratory distress syndrome in humans. MBio 2012; 3 pii: e00473–12. 10.1128/mBio.00473-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Assiri A, Al-Tawfiq JA, Al-Rabeeah AA, et al. Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study. Lancet Infect Dis 2013; 13: 752–761. 10.1016/S1473-3099(13)70204-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Memish ZA, Zumla AI, Al-Hakeem RF, et al. Family cluster of Middle East respiratory syndrome coronavirus infections. N Engl J Med 2013; 368: 2487–94. 10.1056/NEJMoa1303729 [DOI] [PubMed] [Google Scholar]
  • 5.Al-Abdallat MM, Payne DC, Alqasrawi S, et al. Hospital-associated outbreak of Middle East respiratory syndrome coronavirus: a serologic, epidemiologic, and clinical description. Clin Infect Dis 2014; 59: 1225–1233. 10.1093/cid/ciu359 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.WHO| Middle East respiratory syndrome coronavirus (MERS-CoV). https://www.who.int/emergencies/mers-cov/en/. Accessed 13 November 2019.
  • 7.Drosten C, Meyer B, Müller MA, et al. Transmission of MERS-coronavirus in household contacts. N Engl J Med 2014; 371: 828–835. 10.1056/NEJMoa1405858 [DOI] [PubMed] [Google Scholar]
  • 8.Park SH, Kim YS, Jung Y, et al. Outbreaks of Middle East Respiratory Syndrome in Two Hospitals Initiated by a Single Patient in Daejeon, South Korea. Infect Chemother 2016; 48: 99–107. 10.3947/ic.2016.48.2.99 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dighe A, Jombart T, Van Kerkhove MD, et al. A systematic review of MERS-CoV seroprevalence and RNA prevalence in dromedary camels: Implications for animal vaccination. Epidemics 2019; 100350 10.1016/j.epidem.2019.100350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sikkema RS, Farag EABA, Islam M, et al. Global status of Middle East respiratory syndrome coronavirus in dromedary camels: a systematic review. Epidemiol Infect 2019; 147: e84 10.1017/S095026881800345X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Reusken CB, Ababneh M, Raj VS, et al. Middle east respiratory syndrome coronavirus (MERS-CoV) serology in major livestock species in an affected region in Jordan, June to September 2013. Euro Surveill 2013; 18: 20662 10.2807/1560-7917.es2013.18.50.20662 [DOI] [PubMed] [Google Scholar]
  • 12.Ali M, El-Shesheny R, Kandeil A, et al. Cross-sectional surveillance of Middle East respiratory syndrome coronavirus (MERS-CoV) in dromedary camels and other mammals in Egypt, August 2015 to January 2016. Euro Surveill 2017; 22 pii: 30487 10.2807/1560-7917.ES.2017.22.11.30487 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.David D, Rotenberg D, Khinich E, et al. Middle East respiratory syndrome coronavirus specific antibodies in naturally exposed Israeli llamas, alpacas and camels. One Health 2018; 5: 65–68. 10.1016/j.onehlt.2018.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kandeil A, Gomaa M, Shehata M, et al. Middle East respiratory syndrome coronavirus infection in non-camelid domestic mammals. Emerg Microbes Infect 2019; 8: 103–108. 10.1080/22221751.2018.1560235 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Azhar EI, El-Kafrawy SA, Farraj SA, et al. Evidence for camel-to-human transmission of MERS coronavirus. N Engl J Med 2014; 370: 2499–2505. 10.1056/NEJMoa1401505 [DOI] [PubMed] [Google Scholar]
  • 16.Memish ZA, Cotten M, Meyer B, et al. Human infection with MERS coronavirus after exposure to infected camels, Saudi Arabia, 2013. Emerg Infect Dis 2014; 20: 1012–1015. 10.3201/eid2006.140402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Farag EA, Reusken CB, Haagmans BL, et al. High proportion of MERS-CoV shedding dromedaries at slaughterhouse with a potential epidemiological link to human cases, Qatar 2014. Infect Ecol Epidemiol 2015; 5: 28305 10.3402/iee.v5.28305 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kasem S, Qasim I, Al-Hufofi A, et al. Cross-sectional study of MERS-CoV-specific RNA and antibodies in animals that have had contact with MERS patients in Saudi Arabia. J Infect Public Health 2018; 11: 331–338. 10.1016/j.jiph.2017.09.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kasem S, Qasim I, Al-Doweriej A, et al. The prevalence of Middle East respiratory Syndrome coronavirus (MERS-CoV) infection in livestock and temporal relation to locations and seasons. J Infect Public Health 2018; 11: 884–888. 10.1016/j.jiph.2018.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Müller MA, Meyer B, Corman VM, et al. Presence of Middle East respiratory syndrome coronavirus antibodies in Saudi Arabia: a nationwide, cross-sectional, serological study. Lancet Infect Dis 2015; 15: 559–564. 10.1016/S1473-3099(15)70090-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Reusken CB, Farag EA, Haagmans BL, et al. Occupational exposure to dromedaries and risk for MERS-CoV infection, Qatar, 2013–2014. Emerg Infect Dis 2015; 21: 1422–1425. 10.3201/eid2108.150481 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Alshukairi AN, Zheng J, Zhao J, et al. High prevalence of MERS-CoV infection in camel workers in Saudi Arabia. MBio 2018; 9 pii:e01985–18. 10.1128/mBio.01985-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Alraddadi BM, Watson JT, Almarashi A, et al. Risk factors for primary Middle East Respiratory syndrome coronavirus illness in humans, Saudi Arabia, 2014. Emerg Infect Dis 2016; 22: 49–55. 10.3201/eid2201.151340 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Islam A, Epstein JH, Rostal MK, et al. Middle East Respiratory Syndrome Coronavirus Antibodies in Dromedary Camels, Bangladesh, 2015. Emerg Infect Dis 2018; 24: 926–928. 10.3201/eid2405.171192 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Al Hammadi ZM, Chu DK, Eltahir YM, et al. Asymptomatic MERS-CoV Infection in Humans Possibly Linked to Infected Dromedaries Imported from Oman to United Arab Emirates, May 2015. Emerg Infect Dis 2015; 21: 2197–2200. 10.3201/eid2112.151132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Muhairi SA, Hosani FA, Eltahir YM, et al. Epidemiological investigation of Middle East respiratory syndrome coronavirus in dromedary camel farms linked with human infection in Abu Dhabi Emirate, United Arab Emirates. Virus Genes 2016; 52: 848–854. 10.1007/s11262-016-1367-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wernery U, Corman VM, Wong EY, et al. Acute middle East respiratory syndrome coronavirus infection in livestock Dromedaries, Dubai, 2014. Emerg Infect Dis 2015; 21: 1019–1022. 10.3201/eid2106.150038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Yusof MF, Queen K, Eltahir YM, et al. Diversity of Middle East respiratory syndrome coronaviruses in 109 dromedary camels based on full-genome sequencing, Abu Dhabi, United Arab Emirates. Emerg Microbes Infect 2017; 6:e101 10.1038/emi.2017.89 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ali MA, Shehata MM, Gomaa MR, et al. Systematic, active surveillance for Middle East respiratory syndrome coronavirus in camels in Egypt. Emerg Microbes Infect 2017; 6:e1 10.1038/emi.2016.130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hemida MG, Chu DK, Poon LL, et al. MERS coronavirus in dromedary camel herd, Saudi Arabia. Emerg Infect Dis 2014; 20: 1231–1234. 10.3201/eid2007.140571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Reusken CB, Farag EA, Jonges M, et al. Middle East respiratory syndrome coronavirus (MERS-CoV) RNA and neutralising antibodies in milk collected according to local customs from dromedary camels, Qatar, April 2014. Euro Surveill 2014; 19: 20829 10.2807/1560-7917.es2014.19.23.20829 [DOI] [PubMed] [Google Scholar]
  • 32.Chan SM, Damdinjav B, Perera RA, et al. Absence of MERS-Coronavirus in Bactrian Camels, Southern Mongolia, November 2014. Emerg Infect Dis 2015; 21: 1269–1271. 10.3201/eid2107.150178 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Liu R, Wen Z, Wang J, et al. Absence of Middle East respiratory syndrome coronavirus in Bactrian camels in the West Inner Mongolia Autonomous Region of China: surveillance study results from July 2015. Emerg Microbes Infect 2015; 4:e73 10.1038/emi.2015.73 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Miguel E, Perera RA, Baubekova A, et al. Absence of Middle East Respiratory Syndrome Coronavirus in Camelids, Kazakhstan, 2015. Emerg Infect Dis 2016; 22: 555–557. 10.3201/eid2203.151284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Chu DK, Oladipo JO, Perera RA, et al. Middle East respiratory syndrome coronavirus (MERS-CoV) in dromedary camels in Nigeria, 2015. Euro Surveill 2015; 20. [DOI] [PubMed] [Google Scholar]
  • 36.Meyer B, Juhasz J, Barua R, et al. Time Course of MERS-CoV Infection and Immunity in Dromedary Camels. Emerg Infect Dis 2016; 22: 2171–2173. 10.3201/eid2212.160382 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hemida MG, Alnaeem A, Chu DK, et al. Longitudinal study of Middle East Respiratory Syndrome coronavirus infection in dromedary camel herds in Saudi Arabia, 2014–2015. Emerg Microbes Infect 2017; 6:e56 10.1038/emi.2017.44 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Müller MA, Corman VM, Jores J, et al. MERS coronavirus neutralizing antibodies in camels, Eastern Africa, 1983–1997. Emerg Infect Dis 2014; 20: 2093–2095. 10.3201/eid2012.141026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Chu DKW, Hui KPY, Perera RAPM, et al. MERS coronaviruses from camels in Africa exhibit region-dependent genetic diversity. Proc Natl Acad Sci U S A 2018; 115: 3144–3149. 10.1073/pnas.1718769115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.El-Kafrawy SA, Corman VM, Tolah AM, et al. Enzootic patterns of Middle East respiratory syndrome coronavirus in imported African and local Arabian dromedary camels: a prospective genomic study. Lancet Planet Health 2019; 3:e521–e528. 10.1016/S2542-5196(19)30243-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Younan M, Bornstein S, Gluecks IV. MERS and the dromedary camel trade between Africa and the Middle East. Trop Anim Health Prod 2016; 48: 1277–1282. 10.1007/s11250-016-1089-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Corman VM, Müller MA, Costabel U, et al. Assays for laboratory confirmation of novel human coronavirus (hCoV-EMC) infections. Euro Surveill 2012; 17 pii: 20334 10.2807/ese.17.49.20334-en [DOI] [PubMed] [Google Scholar]
  • 43.Al-Amri SS, Abbas AT, Siddiq LA, et al. Immunogenicity of Candidate MERS-CoV DNA Vaccines Based on the Spike Protein. Sci Rep 2017; 7: 44875 10.1038/srep44875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Sabir JS, Lam TT, Ahmed MM, et al. Co-circulation of three camel coronavirus species and recombination of MERS-CoVs in Saudi Arabia. Science 2016; 351: 81–84. 10.1126/science.aac8608 [DOI] [PubMed] [Google Scholar]
  • 45.Chu DK, Poon LL, Gomaa MM, et al. MERS coronaviruses in dromedary camels, Egypt. Emerg Infect Dis 2014; 20: 1049–1053. 10.3201/eid2006.140299 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Alagaili AN, Briese T, Mishra N, et al. Middle East respiratory syndrome coronavirus infection in dromedary camels in Saudi Arabia. MBio 2014; 5:e00884–14. 10.1128/mBio.00884-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Khalafalla AI, Lu X, Al-Mubarak AI, et al. MERS-CoV in Upper Respiratory Tract and Lungs of Dromedary Camels, Saudi Arabia, 2013–2014. Emerg Infect Dis 2015; 21: 1153–1158. 10.3201/eid2107.150070 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Alfuwaires M, Altaher A, Alhafufi A, et al. Middle east respiratory syndrome coronavirus in healthy and diseased dromedaries. J Camel Pract Res 2017; 24: 217–220. [Google Scholar]
  • 49.Munyua P, Corman VM, Bitek A, et al. No Serologic Evidence of Middle East Respiratory Syndrome Coronavirus Infection Among Camel Farmers Exposed to Highly Seropositive Camel Herds: A Household Linked Study, Kenya, 2013. Am J Trop Med Hyg 2017; 96: 1318–1324. 10.4269/ajtmh.16-0880 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Ommeh S, Zhang W, Zohaib A, et al. Genetic Evidence of Middle East Respiratory Syndrome Coronavirus (MERS-Cov) and Widespread Seroprevalence among Camels in Kenya. Virol Sin 2018; 33: 484–492. 10.1007/s12250-018-0076-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Miguel E, Chevalier V, Ayelet G, et al. Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015. Euro Surveill 2017; 22. pii: 30498. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Stefan Pöhlmann

17 Feb 2020

PONE-D-20-01538

Cross-sectional prevalence study of MERS-CoV in local and imported dromedary camels in Saudi Arabia, 2016-2018

PLOS ONE

Dear Prof Azhar,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

We would appreciate receiving your revised manuscript by Apr 02 2020 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter.

To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). This letter should be uploaded as separate file and labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. This file should be uploaded as separate file and labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. This file should be uploaded as separate file and labeled 'Manuscript'.

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

We look forward to receiving your revised manuscript.

Kind regards,

Stefan Pöhlmann, Ph.D.

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.plosone.org/attachments/PLOSOne_formatting_sample_main_body.pdf and http://www.plosone.org/attachments/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data.

3. We note that Figure #1 in your submission contain map images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright.

We require you to either (a) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (b) remove the figures from your submission:

a.    You may seek permission from the original copyright holder of Figure #1 to publish the content specifically under the CC BY 4.0 license. 

We recommend that you contact the original copyright holder with the Content Permission Form (http://journals.plos.org/plosone/s/file?id=7c09/content-permission-form.pdf) and the following text:

“I request permission for the open-access journal PLOS ONE to publish XXX under the Creative Commons Attribution License (CCAL) CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). Please be aware that this license allows unrestricted use and distribution, even commercially, by third parties. Please reply and provide explicit written permission to publish XXX under a CC BY license and complete the attached form.”

Please upload the completed Content Permission Form or other proof of granted permissions as an "Other" file with your submission.

In the figure caption of the copyrighted figure, please include the following text: “Reprinted from [ref] under a CC BY license, with permission from [name of publisher], original copyright [original copyright year].”

b.    If you are unable to obtain permission from the original copyright holder to publish these figures under the CC BY 4.0 license or if the copyright holder’s requirements are incompatible with the CC BY 4.0 license, please either i) remove the figure or ii) supply a replacement figure that complies with the CC BY 4.0 license. Please check copyright information on all replacement figures and update the figure caption with source information. If applicable, please specify in the figure caption text when a figure is similar but not identical to the original image and is therefore for illustrative purposes only.

The following resources for replacing copyrighted map figures may be helpful:

USGS National Map Viewer (public domain): http://viewer.nationalmap.gov/viewer/

The Gateway to Astronaut Photography of Earth (public domain): http://eol.jsc.nasa.gov/sseop/clickmap/

Maps at the CIA (public domain): https://www.cia.gov/library/publications/the-world-factbook/index.html and https://www.cia.gov/library/publications/cia-maps-publications/index.html

NASA Earth Observatory (public domain): http://earthobservatory.nasa.gov/

Landsat: http://landsat.visibleearth.nasa.gov/

USGS EROS (Earth Resources Observatory and Science (EROS) Center) (public domain): http://eros.usgs.gov/#

Natural Earth (public domain): http://www.naturalearthdata.com/

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: In the present manuscript Tolah and coworkers present their findings from a comparative screening study for MERS-CoV neutralizing antibodies and viral nucleic acid in imported dromedaries from Sudan and Djibouti and in local dromedary camels in Jeddah/Saudi Arabia.

While local cohorts of dromedaries on the Arabian Peninsula had been extensively surveyed before, less information is available for dromedaries imported from Africa. Few studies have been conducted on assessing the prevalence of MERS-CoV-specific antibodies and MERS-CoV RNA in local dromedary camel herds in different African countries that export animals to the Arabian Peninsula. Moreover, data on MERS-CoV prevalence in imported dromedaries have so far only been obtained for animals held at quarantines, abattoirs and markets, and thus leave the possibility for (i) infection of imported animals by local MERS-CoV variants and (ii) for exchange of MERS-CoV variants between dromedaries imported from different sources. As a result, it is difficult to tell whether imported dromedaries that are tested MERS-CoV-positive were already infected/antibody-positive before being imported to the Arabian Peninsula or if infection occurred after import.

Tolah and coworkers analyzed samples taken during the transport of dromedaries from the Horn of Africa (countries: Sudan and Djibouti) to Saudi Arabia (Jeddah) in order to assess the prevalence of MERS-CoV in dromedaries before they touch ground in Saudi Arabia and might get in contact with other imported animals (from other African countries) or local animals. The authors report that imported dromedaries had significantly higher seroprevalence than local animals. In contrast, prevalence of MERS-CoV RNA was significantly higher in local dromedaries. Interestingly, the authors found gender-specific differences in the MERS-CoV RNA levels, an observation that has been also made by other groups. Further, a link between age and seropositivity was observed.

This work fills a gap of our knowledge on MERS-CoV prevalence in dromedary camels that are imported from Africa to the Arabian Peninsula. The manuscript is well-written and the data are clearly presented. Overall, I can recommend this manuscript for publication without further modifications.

Reviewer #2: The mansucript by Tolah et al compares MERS-CoV seroprevalence and viral RNA detection rates between imported and local dromedaries in Saudi Arabia between 2016 and 2018. The authors used previously established PCR and neutralization tests. The main findings are that imported camels had higher seroprevalence compared to resident animal in contrast to RNA detection. Seroprevalence significantly increased with age and viral RNA detection rate was 2-folds higher in camels <2 year-old compared to older animals. Interestingly, concurrent positivity for viral RNA and nAbs was found in >87% of the RNA positive animals which has implications for vaccination strategies.

The manuscript is overall well written and the data support the conclusions. The fact, that many dromedaries with neutralizing antibodies were also RNA positive confirms previous observations. Although the novelty might not be striking, the direct comparison of seropositivity and MERS-CoV RNA among imported vs resident dromedaries has not been studied in detail.

I have a few remarks:

1. The authors should emphasize more that a previous study was already based on the same sampling (El-Kafrawy, Lancet Planetary Health, 2019). Otherwise, readers might wonder why the authors did not include phylogenies etc.

2. The authors state in line 146 that they left the serum-virus mix on the cells for 3 days. This seems uncommon, please check.

3. In Figure 4 the authors compare ct values. How did the authors guarantee that all PCRs had the same efficiency? Did they use a control RNA, or an in vitro transcript as standard?

4. African dromedaries were sampled 2016 until 2018. The resident dromedary samples were exclusively collected in 2018. A direct comparison of e.g. RNA detection rates between African and Arabian dromedaries is therefore only possible for the year 2018. This limitation should be addressed.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 May 26;15(5):e0232790. doi: 10.1371/journal.pone.0232790.r002

Author response to Decision Letter 0


4 Apr 2020

Journal Requirements:

When submitting your revision, we need you to address these additional requirements:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.plosone.org/attachments/PLOSOne_formatting_sample_main_body.pdf and http://www.plosone.org/attachments/PLOSOne_formatting_sample_title_authors_affiliations.pdf

The manuscript was formatted to meet PLOS ONE style requirements.

2. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data.

The phrase was removed.

3. We note that Figure #1 in your submission contain map images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright. We require you to either (a) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (b) remove the figures from your submission:

a. You may seek permission from the original copyright holder of Figure #1 to publish the content specifically under the CC BY 4.0 license. We recommend that you contact the original copyright holder with the Content Permission Form (http://journals.plos.org/plosone/s/file?id=7c09/content-permission-form.pdf) and the following text: “I request permission for the open-access journal PLOS ONE to publish XXX under the Creative Commons Attribution License (CCAL) CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). Please be aware that this license allows unrestricted use and distribution, even commercially, by third parties. Please reply and provide explicit written permission to publish XXX under a CC BY license and complete the attached form.” Please upload the completed Content Permission Form or other proof of granted permissions as an "Other" file with your submission. In the figure caption of the copyrighted figure, please include the following text: “Reprinted from [ref] under a CC BY license, with permission from [name of publisher], original copyright [original copyright year].”

b. If you are unable to obtain permission from the original copyright holder to publish these figures under the CC BY 4.0 license or if the copyright holder’s requirements are incompatible with the CC BY 4.0 license, please either i) remove the figure or ii) supply a replacement figure that complies with the CC BY 4.0 license. Please check copyright information on all replacement figures and update the figure caption with source information. If applicable, please specify in the figure caption text when a figure is similar but not identical to the original image and is therefore for illustrative purposes only. The following resources for replacing copyrighted map figures may be helpful: USGS National Map Viewer (public domain): http://viewer.nationalmap.gov/viewer/ The Gateway to Astronaut Photography of Earth (public domain): http://eol.jsc.nasa.gov/sseop/clickmap/ Maps at the CIA (public domain): https://www.cia.gov/library/publications/the-world-factbook/index.htmland https://www.cia.gov/library/publications/cia-maps-publications/index.html NASA Earth Observatory (public domain): http://earthobservatory.nasa.gov/ Landsat: http://landsat.visibleearth.nasa.gov/ USGS EROS (Earth Resources Observatory and Science (EROS) Center) (public domain): http://eros.usgs.gov/# Natural Earth (public domain): http://www.naturalearthdata.com/

The map was generated using a freely available victor mapping web site that does not require copy rights or licensing and we wrote the data on the generated map.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1:

In the present manuscript Tolah and coworkers present their findings from a comparative screening study for MERS-CoV neutralizing antibodies and viral nucleic acid in imported dromedaries from Sudan and Djibouti and in local dromedary camels in Jeddah/Saudi Arabia.

While local cohorts of dromedaries on the Arabian Peninsula had been extensively surveyed before, less information is available for dromedaries imported from Africa. Few studies have been conducted on assessing the prevalence of MERS-CoV-specific antibodies and MERS-CoV RNA in local dromedary camel herds in different African countries that export animals to the Arabian Peninsula. Moreover, data on MERS-CoV prevalence in imported dromedaries have so far only been obtained for animals held at quarantines, abattoirs and markets, and thus leave the possibility for (i) infection of imported animals by local MERS-CoV variants and (ii) for exchange of MERS-CoV variants between dromedaries imported from different sources. As a result, it is difficult to tell whether imported dromedaries that are tested MERS-CoV-positive were already infected/antibody-positive before being imported to the Arabian Peninsula or if infection occurred after import.

Tolah and coworkers analyzed samples taken during the transport of dromedaries from the Horn of Africa (countries: Sudan and Djibouti) to Saudi Arabia (Jeddah) in order to assess the prevalence of MERS-CoV in dromedaries before they touch ground in Saudi Arabia and might get in contact with other imported animals (from other African countries) or local animals. The authors report that imported dromedaries had significantly higher seroprevalence than local animals. In contrast, prevalence of MERS-CoV RNA was significantly higher in local dromedaries. Interestingly, the authors found gender-specific differences in the MERS-CoV RNA levels, an observation that has been also made by other groups. Further, a link between age and seropositivity was observed.

This work fills a gap of our knowledge on MERS-CoV prevalence in dromedary camels that are imported from Africa to the Arabian Peninsula. The manuscript is well-written and the data are clearly presented. Overall, I can recommend this manuscript for publication without further modifications.

We thank the reviewer for the positive feedback.

Reviewer #2:

The manuscript by Tolah et al compares MERS-CoV seroprevalence and viral RNA detection rates between imported and local dromedaries in Saudi Arabia between 2016 and 2018. The authors used previously established PCR and neutralization tests. The main findings are that imported camels had higher seroprevalence compared to resident animal in contrast to RNA detection. Seroprevalence significantly increased with age and viral RNA detection rate was 2-folds higher in camels <2 year-old compared to older animals. Interestingly, concurrent positivity for viral RNA and nAbs was found in >87% of the RNA positive animals which has implications for vaccination strategies.

The manuscript is overall well written and the data support the conclusions. The fact, that many dromedaries with neutralizing antibodies were also RNA positive confirms previous observations. Although the novelty might not be striking, the direct comparison of seropositivity and MERS-CoV RNA among imported vs resident dromedaries has not been studied in detail.

I have a few remarks:

1. The authors should emphasize more that a previous study was already based on the same sampling (El-Kafrawy, Lancet Planetary Health, 2019). Otherwise, readers might wonder why the authors did not include phylogenies etc.

The Following statement was added in the results section page 9, line 202-203 “Genetic characteristics of the domestic and imported strains together with phylogenetic analysis are discussed in a previous publication [40].”

2. The authors state in line 146 that they left the serum-virus mix on the cells for 3 days. This seems uncommon, please check.

We followed the protocol by our group in “Evaluation of MERS-CoV Neutralizing Antibodies in Sera Using Live Virus Microneutralization Assay” by Abdullah Algaissi and Anwar M. Hashem Book series: Methods In Molecular Biology, Book: “MERS Coronavirus”, ” DOI: 10.1007/978-1-0716-0211-9_9”

3. In Figure 4 the authors compare ct values. How did the authors guarantee that all PCRs had the same efficiency? Did they use a control RNA, or an in vitro transcript as standard?

In the PCR reactions, we used a control RNA and found that the Ct values for this control are within 5% difference between runs.

4. African dromedaries were sampled 2016 until 2018. The resident dromedary samples were exclusively collected in 2018. A direct comparison of e.g. RNA detection rates between African and Arabian dromedaries is therefore only possible for the year 2018. This limitation should be addressed.

The following statement was added in page 16-17, lines 343-347 “Although the sampling time frames of imported and domestic camels are different, as imported camels were sampled between 2016-2018 while domestic camels were only sampled in 2018, the results are still indicative of the prevalence of MERS-CoV in both groups and require further investigation and continuous screening programs to evaluate the seasonality of the infection.”.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Stefan Pöhlmann

22 Apr 2020

Cross-sectional prevalence study of MERS-CoV in local and imported dromedary camels in Saudi Arabia, 2016-2018

PONE-D-20-01538R1

Dear Dr. Azhar,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

With kind regards,

Stefan Pöhlmann, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Stefan Pöhlmann

14 May 2020

PONE-D-20-01538R1

Cross-sectional prevalence study of MERS-CoV in local and imported dromedary camels in Saudi Arabia, 2016-2018

Dear Dr. Azhar:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Prof. Stefan Pöhlmann

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES