Literature DB >> 30735813

Geographical structure of bat SARS-related coronaviruses.

Ping Yu1, Ben Hu2, Zheng-Li Shi2, Jie Cui3.   

Abstract

Bats are the natural reservoirs of severe acute respiratory syndrome coronavirus (SARS-CoV) which caused the outbreak of human SARS in 2002-2003. We introduce the genetic diversity of SARS-related coronaviruses (SARSr-CoVs) discovered in bats and provide insights on the bat origin of human SARS. We also analyze the viral geographical structure that may improve our understanding of the evolution of bat SARSr-CoVs.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bats; Geographical structure; Host switch; Phylogeny; SARS

Mesh:

Year:  2019        PMID: 30735813      PMCID: PMC7106260          DOI: 10.1016/j.meegid.2019.02.001

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


Introduction

Coronaviruses (CoVs) are enveloped positive-sense, single-stranded RNA viruses belonging to the subfamily Coronavirinae, family Coronaviridae, in the order Nidovirales, which are further divided into four genera, Alpha-, Beta-, Gamma- and Deltacoronavirus (de Groot et al., 2011; Payne, 2017). CoVs are the pathogenic agents for both avian and mammals, and have a worldwide distribution, usually causing respiratory diseases when infecting humans. In 2002–2003, a novel coronavirus termed Severe Acute Respiratory Syndrome (SARS) coronavirus caused >8000 cases of infection with a mortality of approximately 10%, drawing the attention for CoVs of zoonotic origin (Ksiazek et al., 2003; Peiris et al., 2004). Subsequently, more CoVs were identified from humans and different animals, containing human coronavirus NL63 (HCoV-NL63), HCoV-HKU1, Middle East respiratory syndrome coronavirus (MERS-CoV), swine acute diarrhoea syndrome coronavirus (SADS-CoV), bat-CoV HKU4, bat-CoV HKU5, white-eye coronavirus HKU16 (WECoV HKU16), sparrow coronavirus HKU17 (SpCoV HKU17), magpie robin coronavirus (MRCoV HKU18) and so on (Raj et al., 2014; Su et al., 2016; Woo et al., 2012; Woo et al., 2007; Zhou et al., 2018), indicating that CoVs have greater diversity and host range than estimated and remain a potential risk for the public health. Frequent contacts with humans and animals carrying coronaviruses provide a greater chance to facilitate cross-species viral transmission and emerge new viral variants.

The emergence and tracing the animal origin of SARS

In late 2002, SARS first emerged in Guangdong Province in southern China, and rapidly spread to other provinces and other countries, resulting in a global pandemic of severe respiratory diseases (Zhong et al., 2003). Initial investigations and researches indicated that marketplace masked palm civets (Paguma larvata) were likely to be the animal origin for SARS coronavirus (SARS-CoV) (Guan et al., 2003; Kan et al., 2005; Song et al., 2005), but no SARS-CoV was detected in farmed or wild-caught civets in the subsequent epidemiological studies, revealing that civets probably served only as intermediate hosts for SARS-CoV transmission (Chan and Chan, 2013; Shi and Hu, 2008; Tu et al., 2004).

Discovery of bat SARS-related coronaviruses (SARSr-CoVs)

In 2005, the discovery of novel CoVs related to human SARS-CoVs in Chinese horseshoe bats (genus Rhinolophus), named SARS-related coronaviruses (SARSr-CoVs), provided new clue that bats may be the natural host for SARS-CoV (Lau et al., 2005; Li et al., 2005). Since then, genetically diverse SARSr-CoVs have been discovered in Asia, Europe, and Africa, including China, South Korea, Thailand, Bulgaria, Slovenia, Italy, Luxembourg, Nigeria, and Kenya (Balboni et al., 2012b; Drexler et al., 2010; He et al., 2014; Lau et al., 2010; Lau et al., 2005; Li et al., 2005; Pauly et al., 2017; Ren et al., 2006; Rihtaric et al., 2010; Yang et al., 2013; Yuan et al., 2010). Importantly, it was reported that some bat SARSr-CoVs were able to use angiotensin converting enzyme II (ACE2) from humans, civets and Chinese horseshoe bats as a receptor for cell entry (Ge et al., 2013), further supporting human SARS-CoV originated from Chinese horseshoe bats and suggesting that these SARSr-CoVs had the ability to infect humans immediately without other intermediate hosts. Furthermore, serological evidence by ELISA of infection of bat SARSr-CoVs in human who live close to the bat cave in Yunnan, China, where diverse SARSr-CoVs were detected in bats, suggested the potential spillover of SARSr-CoVs from bats to humans (Wang et al., 2018).

Genetic diversity of SARSr-CoVs

SARS-CoV and SARSr-CoVs belong to lineage B of genus Betacoronavirus in the family Coronaviridae and share the same genomic organization with other coronaviruses, including genes coding for 16 nonstructural proteins (nsp, in ORF1ab domain), the structural proteins like spike protein (S), envelope (E), membrane (M), nucleocapsid (N) and other several genes (Perlman and Netland, 2009; Woo et al., 2009). The major distinction between SARS-CoV and SARSr-CoV genomes lies in the non-structural protein 3 (nsp3), ORF3, S and ORF8, among which S gene and ORF8 are the most variable (Shi and Hu, 2008; Wu et al., 2016). The S gene coding for spike protein can be further divided into two subunits S1 and S2, responsible for receptor binding and cellular membrane fusion, respectively (Belouzard et al., 2009). The S1 subunit is composed of the N-terminal domain (NTD) and the receptor-binding domain (RBD), the latter of which is critical for host-receptor binding and plays an important role on determining host range (Becker et al., 2008; de Haan et al., 2006; Li, 2013; Schickli et al., 2004; Tusell et al., 2007). Compared with human/civet SARS-CoV, most known SARSr-CoVs had two deletions in the RBD domain such as Rp3 (DQ071615), while a Bulgarian strain BM48–31 (GU190215) from Rhinolophus blasii had only one deletion in that region (Drexler et al., 2010; He et al., 2014). Several strains like WIV1 (KF367457) had same sequences length with SARS-CoV in the RBD regions, which were authenticated to be able to use human ACE2 as a cellular entry receptor (Ge et al., 2013; Hu et al., 2017; Yang et al., 2015). However, these SARSr-CoVs without any deletions have so far been merely discovered in Yunnan, indicating that the origin of the S genes of the immediate ancestors of SARS-CoV had been restricted in Yunnan. The ORF8 was highly variable during the course of the SARS epidemic in China (CSME, 2004). Most bat SARSr-CoVs (except the strain HKU3–8, Rs4084 and African and European bat SARSr-CoVs) and the early human SARS-CoV contain a single ORF8 (Balboni et al., 2012a). The HKU3–8 (GQ153543) has a 26 nt deletion in the ORF8 gene which subdivides its ORF8 into ORF8a, b, c. The ORF8 of Rs4084 is split into 8a and 8b due to a 5 nt deletion in its ORF8, similar to the ORF8a/8b of the middle/late human SARS-CoVs with a 29-nt deletion in the ORF8. In the European strain BM48–31, the ORF8 was entirely absent (Drexler et al., 2010; Hu et al., 2017; Lau et al., 2010). Moreover, compared with other bat SARSr-CoVs, some viruses such as WIV1 and WIV16 had an additional ORF (named ORFx) in their gene organization, involved in modulation of the host immune response (Hu et al., 2017; Yang et al., 2015; Zeng et al., 2016).

Geographical restriction of SARSr-CoVs

The phylogeny of SARS-CoV and SARSr-CoVs

SARSr-CoVs have been detected in bats from a wide range of provinces in China, including Guangdong, Guangxi, Guizhou, Hebei, Henan, Hong Kong, Hubei, Jilin, Shaanxi, Shanxi, Taiwan and Zhejiang (Table 1 ). Except several from Hipposideridae, these viruses were mainly detected in bats from the family Rhinolophidae, indicating that they are likely to be natural hosts for SARSr-CoVs.
Table 1

Host information and distribution of SARSr-CoVs available in GenBank.

ProvincesBat species
GuangdongRhinolophus sinicus
GuangxiRhinolophus pearsonii, Rhinolophus sinicus
GuizhouRhinolophus rex, Rhinolophus sinicus
HebeiRhinolophus ferrumequinum
HenanRhinolophus ferrumequinum
Hong KongRhinolophus sinicus
HubeiRhinolophus ferrumequinum, Rhinolophus macrotis, Rhinolophus sinicus
JilinRhinolophus ferrumequinum
ShaanxiRhinolophus pusillus
ShanxiRhinolophus ferrumequinum
TaiwanRhinolophus monoceros
YunnanAselliscus stoliczkanus, Rhinolophus affinis, Rhinolophus ferrumequinum, Rhinolophus sinicus
ZhejiangRhinolophus monoceros, Rhinolophus pearsonii, Rhinolophus sinicus, Rhinolophus thomasi
Host information and distribution of SARSr-CoVs available in GenBank. We collected the full-length RNA-dependent RNA polymerase (RdRp) sequences of previously reported SARSr-CoVs and SARS-CoVs retrieved from GenBank (Table S1). We used the Xia' test, Phi test/RDP and likelihood mapping analysis to check the Saturation Index, recombination and phylogenetic signal of our data, respectively before performing the phylogenetic reconstruction (Huson and Bryant, 2006; Martin et al., 2015; Strimmer and von Haeseler, 1997; Xia, 2013). Subsequently, we constructed a phylogenetic tree using these nucleotide sequences of full-length RdRp gene with the maximum likelihood (ML) method under the GTR + I + Γ model of nucleotide substitution as implemented in PhyML (version 3.1) (Guindon et al., 2010). Optimal model of nucleotide substitution were determined using Akaike Information Criterion (AIC) available in jModelTest (version 2.1.10) (Darriba et al., 2012). Three main lineages were found from that phylogenetic tree when HKU4–1 (EF065505) was set as a outgroup (Fig. 1A). The lineage 1, composed of bat SARSr-CoVs from the southwestern provinces including Yunnan, Guizhou and Guangxi with human/civet SARS-CoV. The viruses from other southern regions containing Guangdong, Hong Kong, Hubei and Zhejiang made up the second lineage (lineage 2). The third lineage (lineage 3) consisted of the strains from the central and northern areas such as Hubei, Henan, Shanxi, Shaanxi, Hebei and Jilin. Although SARS first emerged in Guangdong province, the lineage 1 SARSr-CoVs from southwestern China were closer to human SARS-CoV than other provinces in China including Guangdong, indicating Guangdong is unlikely to be the geographical origin of SARS-CoV and the direct progenitor of human SARS-CoV may have originated from lineage 1 (Hu et al., 2017). Additionally, the SARSr-CoVs from adjacent provinces grouped together (Fig. 1B), revealing that similar viruses have circulated in the neighboring provinces. In addition, it is also suggested that the bat hosts of SARSr-CoVs from southern China were more diversified than those from other locations.
Fig. 1

Phylogenetic analysis of SARS-CoVs and bat SARSr-CoVs. (A) The phylogenetic tree was constructed using the complete RdRp coding sequences and viewed in iTOL (http://itol.embl.de/). All strains here were named using abbreviations of virus ID and sampling provinces. The strain HKU4-1 (NC_009019) was used as a outgroup of that tree. The taxa for lineage 1, lineage 2 and lineage 3 are highlighted in light red, light green and light blue, respectively. The lineage 1, lineage 2 and lineage 3 are displayed with colored pentagrams. The taxa for the only European strain European BM48–31 (GU190215) is displayed by light purple. The branch of SARS-CoV is marked in red. These strains from Zhejiang were collapsed into a triangle named ZJ-SL/Zhejiang. The viruses from Hong Kong also were collapsed into a triangle named HKU3/Hong Kong. The numbers adjacent to the node represents the bootstrap value of 1000 replicates and only bootstrap values ≥70% are shown. (B) The geographical distribution of bat SARSr-CoVs and their hosts from the lineage 1, lineage 2 and lineage 3 in the A diagram. The South Korea and Chinese provinces from the three lineages are marked in the map using the corresponding colored pentagrams. The bat hosts are also mapped to the corresponding regions in the map. Location abbreviations are as follows: YN, Yunnan; GZ, Guizhou; GX, Guangxi; GD, Guangdong; HK, Hong Kong; SAX, Shaanxi; HuB, Hubei; SX, Shanxi; HeN, Henan; HeB, Hebei; ZJ, Zhejiang; JL, Jilin; SK, South Korea. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Phylogenetic analysis of SARS-CoVs and bat SARSr-CoVs. (A) The phylogenetic tree was constructed using the complete RdRp coding sequences and viewed in iTOL (http://itol.embl.de/). All strains here were named using abbreviations of virus ID and sampling provinces. The strain HKU4-1 (NC_009019) was used as a outgroup of that tree. The taxa for lineage 1, lineage 2 and lineage 3 are highlighted in light red, light green and light blue, respectively. The lineage 1, lineage 2 and lineage 3 are displayed with colored pentagrams. The taxa for the only European strain European BM48–31 (GU190215) is displayed by light purple. The branch of SARS-CoV is marked in red. These strains from Zhejiang were collapsed into a triangle named ZJ-SL/Zhejiang. The viruses from Hong Kong also were collapsed into a triangle named HKU3/Hong Kong. The numbers adjacent to the node represents the bootstrap value of 1000 replicates and only bootstrap values ≥70% are shown. (B) The geographical distribution of bat SARSr-CoVs and their hosts from the lineage 1, lineage 2 and lineage 3 in the A diagram. The South Korea and Chinese provinces from the three lineages are marked in the map using the corresponding colored pentagrams. The bat hosts are also mapped to the corresponding regions in the map. Location abbreviations are as follows: YN, Yunnan; GZ, Guizhou; GX, Guangxi; GD, Guangdong; HK, Hong Kong; SAX, Shaanxi; HuB, Hubei; SX, Shanxi; HeN, Henan; HeB, Hebei; ZJ, Zhejiang; JL, Jilin; SK, South Korea. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Relationships between bat coronaviruses and their hosts

Coronaviruses are single-stranded RNA viruses easy to mutate, which increases the diversity of the species and give them the ability to rapidly adapt to new hosts (Longdon et al., 2014). Nevertheless, the evolution and development of CoVs were not only the consequence of the coronavirus phylogeny and biology, but also the results of the interaction between CoVs and their hosts (Cui et al., 2007; Graham and Baric, 2010; Longdon et al., 2014; Parrish et al., 2008). Bats are the only mammals naturally capable of true and sustained flight. The bat tagging exercise had shown that the longest distance of the migration of the Chinese horseshoe bats is 17 km and other Rhinolophus species may migrate up to 30 km for hibernation (Lau et al., 2010). Such migration distance would help the transmission of SARSr-CoVs carried by bats within a certain geographical range. In order to identify the relationships between bat CoVs and their hosts, a tanglegram was made connecting the RdRp phylogeny of the SARSr-CoVs and the cytochrome b (CytB) phylogeny of their hosts (Fig. 2 ; Table S2). Different bat species in the same location like Yunnan, Guizhou and Zhejiang harbor closely related SARSr-CoVs, suggesting the lack of a strict host restriction and the existence of host shift in bat SARSr-CoVs (Cui et al., 2007). In addition, host shift mostly happened in different species under the same genus Rhinolophus, indicating that genetic distance between hosts as a key factor determines both the host shifts and cross-species transmission. Besides, though from same bat species, the SARSr-CoVs from adjacent provinces clustered, further supporting that the evolution of SARSr-CoVs were restricted by geography rather than by bat species.
Fig. 2

Phylogenetic relationships between human/civet SARS-CoVs, bat SARSr-CoVs and their hosts. The left tree was inferred based on the nucleotide of the complete RdRp sequences of human/civet SARS-CoVs and bat SARSr-CoVs. The right tree was constructed using the nucleotide of the CytB sequences of hosts. The branch of SARS-CoV from the left tree is marked in red. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Phylogenetic relationships between human/civet SARS-CoVs, bat SARSr-CoVs and their hosts. The left tree was inferred based on the nucleotide of the complete RdRp sequences of human/civet SARS-CoVs and bat SARSr-CoVs. The right tree was constructed using the nucleotide of the CytB sequences of hosts. The branch of SARS-CoV from the left tree is marked in red. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Recombinant origin of SARS-CoV from bat SARSr-CoVs

Recombination plays a significant role in the evolution of virus, which may create emerging virus, expand their host range (Graham and Baric, 2010; Vennema et al., 1998). Recombination events have been discovered in SARS-CoV and bat SARSr-CoVs (Graham and Baric, 2010; Hon et al., 2008). The two major recombination hotspots between bat SARSr-CoVs and SARS-CoV are S gene and ORF8, which probably contributes to the variability of the two genes (Hon et al., 2008; Lau et al., 2015; Wu et al., 2016). All the genomic constituents of SARS-CoV including the hypervariable regions S and ORF8 were discovered from different bat SARSr-CoVs in the same cave in Yunnan, with evidence of recombination events detected between these bat SARSr-CoVs (Hu et al., 2017), suggesting that human SARS-CoV may originate from the recombinant of bat SARSr-CoVs in this region. The SARSr-CoVs without any deletion at the RBD domain were only identified in Yunnan, so the S genes of human SARS-CoVs were from the recombination of these viruses in Yunnan. As recombination occurs frequently among bat SARSr-CoVs, further genomic characterization of bat SARS-CoVs in a broader range of host species and geographical origin needs to be done to understand the role of recombination plays in the evolution of SARSr-CoVs.

Conclusions

As bats have been identified to be the natural reservoirs of various emerging viruses, the concept of zoonotic origin of important viral pathogens becomes widely accepted (Parrish et al., 2008).Deciphering the evolution of a viral pathogen is vital for us to understand the context of its emergence. Although SARS were controlled and vanished in 2004, those recently identified SARSr-CoVs which are able to use human ACE2 receptor have posed a potential risk of future emergence (Ge et al., 2013; Graham and Baric, 2010; Parrish et al., 2008). In particular, the serological evidence of bat SARSr-CoV infected in human was discovered in Yunnan, suggesting these viruses may have spilled over to human from bats directly or via other intermediate hosts in Yunnan. Up to present, bat SARSr-CoVs have been discovered in Asia, Europe and Africa (Balboni et al., 2012b; Drexler et al., 2010; He et al., 2014; Lau et al., 2010, 2005; Li et al., 2005; Ren et al., 2006; Rihtaric et al., 2010; Yang et al., 2013; Yuan et al., 2010). However, for most of these strains from countries other than China, only partial RdRp fragment were obtained and full-length genome sequences have been determined for only few of them, thus the available genetic information is insufficient to explore the evolution and spread of these SARSr-CoVs. Phylogeny using these short sequences of currently known SARSr-CoVs indicated that the bat SARSr-CoVs from China are closer to human SARS-CoV than those from other countries (Ar Gouilh et al., 2018; Drexler et al., 2010; Quan et al., 2010; Rihtaric et al., 2010), suggesting that human SARS-CoV may have originated from China. Our analysis revealed that the human SARS-CoV may have originated from south China including Yunnan, Guangxi and Guizhou, and similar viruses likely circulated in these provinces for an extended time period before eventually emerging in humans. In addition, SARSr-CoVs clustered according to their geographical location of sampling, indicating that geographical range overlap between hosts is likely to play an important role in shaping the evolution of these viruses (Faria et al., 2013). Co-phylogeny analysis indicated the lack of a host restriction and the existence of frequent host shift in bat SARSr-CoVs, mainly occurred in horseshoe bats (genus Rhinolophus), which may be due to that close relatives of the hosts offer a similar environment for the virus to adapt (Longdon et al., 2014). However, space presents a greater barrier to virus diversification than host species for the evolution of bat SARSr-CoVs. Most importantly, cross-species transmission and frequent recombination of SARSr-CoVs within horseshoe bat populations in Yunnan could eventually lead to the generation of human SARS-CoV (Graham and Baric, 2010; Hon et al., 2008; Hu et al., 2017). Although Rhinolophus species may migrate up to 30 km (Lau et al., 2010), it is very unlikely for them to migrate a long distance such as from Yunnan to Guangdong. There are still some gaps needed to be filled in the origin of human SARS-CoV. Given that human SARS-CoV originated from bats in southwestern China including Yunnan, Guangxi and Guizhou, their transmission and migration to Guangdong where human SARS first appeared are unclear and needed to be clarified in the future. Although the serological evidence of bat SARSr-CoV infection was discovered in human living in proximity to the cave where diverse SARSr-CoVs are circulating (Wang et al., 2018), it is unable to judge that the SARSr-CoVs infecting those human populations are from bats or other animals inhabiting with bats. In short, it is necessary to carry out continuous surveillance of SARSr-CoVs in different geographical locations targeting different bat species and surrounding animals.
  57 in total

1.  Molecular evolution of the SARS coronavirus during the course of the SARS epidemic in China.

Authors: 
Journal:  Science       Date:  2004-01-29       Impact factor: 47.728

Review 2.  Cross-species virus transmission and the emergence of new epidemic diseases.

Authors:  Colin R Parrish; Edward C Holmes; David M Morens; Eun-Chung Park; Donald S Burke; Charles H Calisher; Catherine A Laughlin; Linda J Saif; Peter Daszak
Journal:  Microbiol Mol Biol Rev       Date:  2008-09       Impact factor: 11.056

3.  Likelihood-mapping: a simple method to visualize phylogenetic content of a sequence alignment.

Authors:  K Strimmer; A von Haeseler
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-24       Impact factor: 11.205

4.  Identification of diverse alphacoronaviruses and genomic characterization of a novel severe acute respiratory syndrome-like coronavirus from bats in China.

Authors:  Biao He; Yuzhen Zhang; Lin Xu; Weihong Yang; Fanli Yang; Yun Feng; Lele Xia; Jihua Zhou; Weibin Zhen; Ye Feng; Huancheng Guo; Hailin Zhang; Changchun Tu
Journal:  J Virol       Date:  2014-04-09       Impact factor: 5.103

Review 5.  Coronavirus diversity, phylogeny and interspecies jumping.

Authors:  Patrick C Y Woo; Susanna K P Lau; Yi Huang; Kwok-Yung Yuen
Journal:  Exp Biol Med (Maywood)       Date:  2009-06-22

6.  Tracing the SARS-coronavirus.

Authors:  Paul K S Chan; Martin C W Chan
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

7.  A real-time PCR assay for bat SARS-like coronavirus detection and its application to Italian greater horseshoe bat faecal sample surveys.

Authors:  Andrea Balboni; Laura Gallina; Alessandra Palladini; Santino Prosperi; Mara Battilani
Journal:  ScientificWorldJournal       Date:  2011-11-22

8.  Identification of a severe acute respiratory syndrome coronavirus-like virus in a leaf-nosed bat in Nigeria.

Authors:  Phenix-Lan Quan; Cadhla Firth; Craig Street; Jose A Henriquez; Alexandra Petrosov; Alla Tashmukhamedova; Stephen K Hutchison; Michael Egholm; Modupe O V Osinubi; Michael Niezgoda; Albert B Ogunkoya; Thomas Briese; Charles E Rupprecht; W Ian Lipkin
Journal:  mBio       Date:  2010-10-12       Impact factor: 7.867

Review 9.  The evolution and genetics of virus host shifts.

Authors:  Ben Longdon; Michael A Brockhurst; Colin A Russell; John J Welch; Francis M Jiggins
Journal:  PLoS Pathog       Date:  2014-11-06       Impact factor: 6.823

10.  Simultaneously reconstructing viral cross-species transmission history and identifying the underlying constraints.

Authors:  Nuno Rodrigues Faria; Marc A Suchard; Andrew Rambaut; Daniel G Streicker; Philippe Lemey
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

View more
  18 in total

1.  Clinical Profile of Coronavirus Disease 2019 Comparing the First and Second Waves: A Single-Center Study from North India.

Authors:  Sandeep Chhabra; Suman Sethi; Simran Kaur; Monika Singla; Jyoti Jindal; Vandana Midha; Rajesh Mahajan; Namita Bansal; Bishav Mohan
Journal:  Int J Appl Basic Med Res       Date:  2022-05-10

Review 2.  Molecular biology of coronaviruses: current knowledge.

Authors:  I Made Artika; Aghnianditya Kresno Dewantari; Ageng Wiyatno
Journal:  Heliyon       Date:  2020-08-17

3.  Product of natural evolution (SARS, MERS, and SARS-CoV-2); deadly diseases, from SARS to SARS-CoV-2.

Authors:  Mohamad Hesam Shahrajabian; Wenli Sun; Qi Cheng
Journal:  Hum Vaccin Immunother       Date:  2020-08-12       Impact factor: 3.452

4.  The effect of massage on the quality of life in patients recovering from COVID-19: A systematic review protocol.

Authors:  Liu Wu; Yuting Dong; Jin Li; Ju Huang; Dengpeng Wen; Tao Peng; Jian Luo
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.889

5.  Human-animal interactions and bat coronavirus spillover potential among rural residents in Southern China.

Authors:  Hongying Li; Emma Mendelsohn; Chen Zong; Wei Zhang; Emily Hagan; Ning Wang; Shiyue Li; Hong Yan; Huimin Huang; Guangjian Zhu; Noam Ross; Aleksei Chmura; Philip Terry; Mark Fielder; Maureen Miller; Zhengli Shi; Peter Daszak
Journal:  Biosaf Health       Date:  2019-11-09

Review 6.  Inter nation social lockdown versus medical care against COVID-19, a mild environmental insight with special reference to India.

Authors:  Biswaranjan Paital; Kabita Das; Sarat Kumar Parida
Journal:  Sci Total Environ       Date:  2020-04-23       Impact factor: 7.963

Review 7.  Bat origin of a new human coronavirus: there and back again.

Authors:  Xiang Li; Yuhe Song; Gary Wong; Jie Cui
Journal:  Sci China Life Sci       Date:  2020-02-09       Impact factor: 6.038

8.  Chinese medicine treatment of mastitis in COVID-19 patients: A protocol for systematic review.

Authors:  Dengpeng Wen; Yu Shi; Xiaoxia Zhang; Gang Lv
Journal:  Medicine (Baltimore)       Date:  2020-08-28       Impact factor: 1.817

9.  The effect of acupuncture on the quality of life of patients recovering from COVID-19: A systematic review protocol.

Authors:  Dengpeng Wen; Liu Wu; Yuting Dong; Ju Huang; Kuiyu Ren; Jianzhen Jiang; Shunxin Dai; Wei Zhao; Xinwei Xu; Dezhong Peng
Journal:  Medicine (Baltimore)       Date:  2020-07-24       Impact factor: 1.817

10.  Clinical characteristics and outcomes of COVID-19 patients with gastrointestinal symptoms admitted to Jianghan Fangcang Shelter Hospital in Wuhan, China.

Authors:  Ting Zheng; Chao Yang; Han-Yu Wang; Xiao Chen; Li Yu; Zi-Ling Wu; Hui Sun
Journal:  J Med Virol       Date:  2020-07-14       Impact factor: 20.693

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.