ABSTRACT
Differences in host angiotensin converting enzyme 2 (ACE2) genes may affect the host range of SARS-CoV-2-related coronaviruses (SC2r-CoVs) and further determine the tropism of host ACE2 for the infection receptor. However, the factor(s) responsible for determining the host tropism of SC2r-CoVs, which may in part be determined by the tropism of host ACE2 usage, remains unclear. Here, we use the pseudoviruses with the spike proteins of two Laotian SC2r-CoVs, BANAL-20-236 and BANAL-20-52, and the cells expressing ACE2 proteins of eight different Rhinolophus bat species to show that these two spikes have different tropisms for Rhinolophus bat ACE2. Through structural analysis and cell culture experiments, we demonstrate that this tropism is determined by residue 493 of the spike and residues 31 and 35 of ACE2. Our results suggest that SC2r-CoVs exhibit differential ACE2 tropism, which may be driven by adaptation to different Rhinolophus bat ACE2 proteins.
IMPORTANCE
The efficiency of infection receptor use is the first step in determining the species tropism of viruses. After the coronavirus disease 2019 pandemic, a number of SARS-CoV-2-related coronaviruses (SC2r-CoVs) were identified in Rhinolophus bats, and some of them can use human angiotensin converting enzyme 2 (ACE2) for the infection receptor without acquiring additional mutations. This means that the potential of certain SC2r-CoVs to cause spillover from bats to humans is "off-the-shelf." However, both SC2r-CoVs and Rhinolophus bat species are highly diversified, and the host tropism of SC2r-CoVs remains unclear. Here, we focus on two Laotian SC2r-CoVs, BANAL-20-236 and BANAL-20-52, and determine how the tropism of SC2r-CoVs to Rhinolophus bat ACE2 is determined at the amino acid resolution level.
KEYWORDS: Rhinolophus bat, ACE2, SARS-CoV-2, coronavirus, spike
INTRODUCTION
A series of SARS-CoV-2-related coronaviruses (SC2r-CoVs), which are phylogenetically related to SARS-CoV-2, were identified in Rhinolophus bats in China and Southeast Asian countries. For example, RaTG13 (Rhinolophus affinis in China, 2013) (1), RmYN02 (Rhinolophus malayanus in China, 2019) (2), RacCS203 (Rhinolophus acuminatus in Thailand) (3), RpYN06 (Rhinolophus pusillus in China, 2020) (4), RshSTT182 (Rhinolophus shameli in Cambodia, 2010) (5), BANAL-20-236 (B236; Rhinolophus marshalli in Laos, 2020) (6), and Rc-o319 (Rhinolophus cornutus in Japan, 2013) (7) were reported so far. Also, SC2r-CoVs, such as Pangolin-CoV and MpCoV-GX, were identified in pangolins (8, 9). These findings support the concept that SARS-CoV-2 emergence is caused by the spillover of certain SC2r-CoV into humans. Importantly, the spike (S) proteins of some SC2r-CoVs, such as RaTG13 (10), B236 (6), and those identified in pangolins (11, 12), are capable of binding to human angiotensin converting enzyme 2 (ACE2), the receptor for SARS-CoV-2 infection. Therefore, it is plausible to assume that some SC2r-CoVs, which can bind to human ACE2, circulate in Rhinolophus bats and pangolins in the wild, particularly those residing in Southeast Asian countries. However, because bat ACE2 genes are highly diversified (13 – 15), it is hypothesized that the differences in bat ACE2 genes can affect the host range of SC2r-CoVs and further modulate the tropism of host ACE2 for the infection receptor.
B236 is a replication-competent SC2r-CoV that was isolated from rectal swabs of Laotian R. marshalli by Temmam et al. (6) In this previous study, the viral sequences of BANAL-20-52 (B52) and BANAL-20-103 (B103) were identified from the samples of R. malayanus and R. pusillus (6). Importantly, these three BANAL-20 viruses are phylogenetically close to SARS-CoV-2 (6). The amino acid sequences of the S receptor binding motif of B52 and B103 are identical, and the receptor binding domain (RBD) of B52/103 RBD more strongly binds to human ACE2 than that of SARS-CoV-2 S RBD (6). These observations suggest that B236, B52, and B103 are capable of using human ACE2 for the infection receptor; however, the host tropism of these viruses, which can be determined in part by host ACE2 usage, remains unclear. In this study, we particularly focus on the two Laotian SC2r-CoVs, B236 and B52, and elucidate the difference in host ACE2 tropism.
RESULTS
Difference in ACE2 tropism between B236 and B52
We set out to understand the phylogenetic relationship of SC2r-CoVs in Rhinolophus bats and pangolins. Consistent with a previous report (6), most of the SC2r-CoVs that are capable of using human ACE2 for the infection receptor formed a cluster with SARS-CoV-2 (Fig. 1A).
To investigate the host ACE2 tropism of two Laotian SC2r-CoVs, B236 and B52, we prepared the HOS-TMPRSS2 cell lines that stably express the ACE2 proteins of eight Rhinolophus bat species: R. affinis, R. cornutus, R. ferrumequinum, R. macrotis, R. pearsonii, R. pusillus, R. shameli, and R. sinicus, most of which are found throughout Southeast and East Asia (Fig. 1B). As controls, we also prepared HOS-TMPRSS2 cells stably expressing the ACE2 proteins of humans, hamsters, and pangolins. We then prepared the human immunodeficiency virus type 1 (HIV-1)-based pseudoviruses with the S proteins of B236 and B52 and inoculated them into a series of target cells. As shown in Fig. 1C, the HOS-TMPRSS2 cells expressing R. affinis ACE2 exhibited similar infectivity to both B236 and B52. On the other hand, B236 exhibited higher infectivity than B52 in the cells expressing the ACE2 proteins of R. cornutus, R. ferrumequinum, R. pearsonii, and R. pusillus (Fig. 1C). In contrast, B52 exhibited higher infectivity than B236 in the cells expressing the ACE2 proteins of R. macrotis, R. shameli, and R. sinicus as well as those expressing the ACE2 proteins of pangolins, humans, and hamsters (Fig. 1C). These results suggest that the ACE2 tropism of B236 and B52 is different among animal species.
Interspecies polymorphisms of ACE2 linked to susceptibility to B52 than B236 infection
We next investigated the determinant factor(s) that are responsible for the ACE2 tropism of B52 and B236 on both sides of hosts (i.e., ACE2) and viruses (i.e., viral S). We first addressed the host side and assumed the evolutionary relationship of horseshoe bat species. However, there is no clear correlation between the tropism of B236/52 and the phylogenetic relationship of the host (Fig. 1D). Also, the phylogenetic tree of the ACE2 gene did not show a clear association with the tropism of B236/52 (Fig. 1E). For example, the R. macrotis ACE2 gene is phylogenetically closely related to R. pusillus and R. cornutus (Fig. 1E). However, R. macrotis ACE2 showed higher susceptibility to B52 than to B236, while the ACE2 proteins of R. pusillus and R. cornutus displayed higher susceptibility to B236 than to B52 (Fig. 1C). These observations suggest that the differences in susceptibility of ACE2 proteins to B52 and B236 could not solely be explained by the phylogenetic relationships of the host species and the ACE2 gene (Fig. 1D and E).
To identify the genetic determinants of susceptibility to B52 and B236 infections in ACE2 proteins, we then assessed the amino acid polymorphisms in ACE2 proteins that can be associated with susceptibility to B52 and B236. As shown in Fig. 2A, the susceptibility of ACE2 proteins to B236 exhibited a strong inverse correlation with that of B52 (except for the ACE2 proteins of humans and R. pearsonii). We calculated the relative infectivity score between B236 and B52 [i.e., log10(B236 infectivity/B52 infectivity)] for each ACE2 and subsequently evaluated the association between this score and amino acid polymorphism at each site in the ACE2 protein. For the analysis, the data for outlier species, humans and R. pearsonii, were excluded. At the permissive statical threshold (P < 0.1), we detected eight amino acid sites associated with susceptibility (Fig. 2B and C). Of these, residue 35 exhibited the strongest association (P = 0.0067). In these eight residues, four residues positioned at 30, 31, 35, and 79 are located in the region that interacts with the SARS-CoV-2 S RBD (17). Particularly, Shang et al. showed that the residues positioned at 31 (K31) and 35 (E35) of human ACE2 are crucial to form hydrogen bonds with Q493 of SARS-CoV-2 S (Fig. 2D) (17). When we focus on the virus side, the amino acid similarity of the RBDs of B52 and B236 is very high (221/223; 99.1%), and the two amino acid residues positioned at 324 (D324 for B236, E324 for B52) and 493 (K493 for B236, Q493 for B52) are different in the RBD between B52 and B236 (Fig. 2E). Importantly, out of the two residues that differ in the RBDs of B52 and B236, only residue 493 can interact with human ACE2 (Fig. 2D and E). Moreover, the co-crystal structure of B236 S RBD and human ACE2 showed that the K493 of B236 S interacts with the E35 of human ACE2 (6). Because a previous paper (17) and our analyses (Fig. 2A through C) suggested the importance of the residues positioned at 31 and 35 of ACE2 to interact with viral S protein, we addressed the possibility that the residues 31 and 35 of Rhinolophus bat ACE2 interact with the residue 493 of B236/52 S. We prepared homology models of B52 S RBD and the ACE2 proteins of four Rhinolophus bats, R. cornutus, R. macrotis, R. pusillus, and R. sinicus, and replaced the co-structure of B236 S RBD and human ACE2 (PDB: 7PKI) (6) with those models. As summarized in Fig. 2C and Table 1, the ACE2 tropism of B236/52 is closely correlated to the two residues positioned at 31 and 35. In fact, the replaced models of S RBD and ACE2 showed that the K493 of B236 formed salt bridges with the D31 and E35 of the ACE2 proteins of R. cornutus and R. pusillus, while electrostatic repulsion was observed between the K493 of B236 and the K31 and K35 of the ACE2 proteins of R. macrotis and R. sinicus (Fig. 2F). In contrast, the Q493 of B52 formed hydrogen bonds with the K31 of the ACE2 proteins of R. macrotis and R. sinicus or with D31 of the ACE2 proteins of R. cornutus and R. pusillus (Fig. 2G). These observations suggest that the electrostatic interaction between residue 493 of the B236/52 S protein and residues 31 and 35 of the host ACE2 protein is associated with the tropism of B52 and B236.
TABLE 1.
Residue | |||
---|---|---|---|
Bat species of ACE2 | 31 | 35 | ACE2 tropism of B236 and B52 |
R. cornutus | D | E | B52<B236 |
R. pusillus | D | E | B52<B236 |
R. macrotis | K | K | B52>B236 |
R. sinicus | K | K | B52>B236 |
R. shameli | K | E | B52>B236 |
Determination of the different tropisms of B236 and B52
To address the possibility that the interaction between the residue 493 of viral S protein and the residues 31 and 35 of host ACE2 protein explains the different tropism of B236 and B52, we prepared the two S derivatives of B236 and B52, which harbor the mutations at residue 493: B236 S K493Q and B52 S Q493K. The mutations at residue 493 of S protein did not affect the levels of S proteins incorporated into the released pseudoviral particles (Fig. 3A). We then selected the two Rhinolophus ACE2 proteins as representatives: those from R. pusillus and R. macrotis, which are strongly preferred by B236 and B52, respectively (Fig. 1C), for pseudovirus infection experiments. As shown in Fig. 3B, in the cells expressing R. pusillus ACE2, which is preferred by B236, the infectivity of B236 S pseudovirus was significantly decreased (89.7-fold) by the K493Q substitution. In contrast, the infectivity of the B52 S pseudovirus was significantly increased (24.1-fold) by the Q493K substitution (Fig. 3B). In the cells expressing R. macrotis ACE2, which is preferred by B52, the infectivity of B52 pseudovirus was significantly decreased (2.4-fold) by the Q493K substitution, while that of B236 was 5.9-fold increased by the K493Q mutation (Fig. 3B). These results suggest that residue 493 of B236/52 S determines the tropism of Rhinolophus ACE2.
To further address the possibility that residues 31 and 35 of the ACE2 receptor are responsible for the tropism of B236/52, we generated plasmids expressing R. pusillus ACE2 D31K/E35K and R. macrotis ACE2 K31D/K35E. The mutations at residues 31 and 35 of Rhinolophus ACE2 did not affect their protein expression levels (Fig. 3C). In the case of R. pusillus ACE2 D31K/E35K, the B52 infectivity was 4.5-fold decreased by the Q493K substitution, while the B236 infectivity was 16.1-fold increased by the K493Q substitution (Fig. 3D). In the case of R. macrotis ACE2 K31D/K35E, the B52 infectivity was 11.5-fold increased by the Q493K substitution, while the B236 infectivity was 13.7-fold decreased by the K493Q substitution (Fig. 3D). Altogether, these findings suggest that the ACE2 tropism of B236 and B52 is determined by residue 493 of viral S proteins, and residues 31 and 35 of ACE2 receptors are responsible for the viral tropism.
DISCUSSION
In this study, we showed that the SC2r-CoVs identified in Laotian bats, B236 and B52, exhibit different ACE2 tropisms. We further demonstrate that this tropism difference is determined by the amino acid residue positioned at 493 of their S proteins. Structural analysis suggests that residue 493 of the viral S protein plays a critical role in the interaction mediated by a salt bridge with amino acid residues positioned at 31 and 35 of the host ACE2 protein. Our results provide insight into the host tropism of SC2r-CoVs, which is defined by the ACE2 receptor.
Interactions between viral proteins and host receptors that determine host range are known from other viruses [reviewed in reference (18)]. For example, the host tropism of influenza A viruses (IAVs) is determined by the affinity of the viral hemagglutinin for the sialic acids of the host species: human IAVs prefer to bind to α2–3-linked sialic acid, whereas avian IAVs prefer to bind to α2–6-linked sialic acid [reviewed in reference (19, 20)]. In primate lentiviruses (PLVs), including HIV-1, the viral envelope protein binds to two host receptor proteins, the CD4 protein (major receptor) and chemokine receptors (coreceptors), to initiate infection. Russell et al. showed that CD4 receptor diversity is an ancient protective mechanism against PLVs (21). Moreover, although HIV-1 and related primate lentiviruses use CCR5 as the infection coreceptor, some PLVs that are evolutionarily unrelated to HIV-1 use CCR2 (22, 23) or CXCR6 (24 – 26). Furthermore, the host range of the Ebola virus is determined by the difference in amino acid residues in the Niemann-Pick C1 protein, the infection receptor (27, 28). Therefore, the identification of the amino acid residues of the viral S protein that determine the specificity of the host receptor proteins leads to an estimate of the host range of the virus. Furthermore, if the use of human ACE2 and the amino acid residues of the SC2r-CoV S proteins that determine its affinity can be identified, it will be possible to infer from the S gene sequence alone whether the SC2r-CoV of concern is capable of spreading to humans.
Li et al. reported on the ACE2 residues crucial for the binding of another SC2r-CoV, RaTG13, to R. affinis ACE2 (13). They conducted experiments using seven polymorphic variants of R. affinis ACE2 and demonstrated that residues 34 and 38 of ACE2 play a critical role in the binding to RaTG13. Additionally, they generated B52 and B236 pseudoviruses and conducted infection experiments with the polymorphic variants, illustrating that B52 and B236 efficiently infected all R. affinis ACE2 variants. These findings are consistent with our results, pointing out that both B52 and B236 exhibit similar infectivity to R. affinis ACE2 (Fig. 1C). Based on these results, B52 and B236 are better adapted to R. affinis ACE2, including its polymorphic variants, than RaTG13. In our study, employing ACE2 from various Rhinolophus species other than R. affinis, we observed differences in the bat ACE2 tropisms of B52 and B236. Notably, ACE2 residues 31 and 35 influenced susceptibility (Fig. 3D).
The mutation pattern of residue 493 of SARS-CoV-2 S is extraordinary: the S proteins of prior SARS-CoV-2 variants of concern (VOCs), including the ancestral Wuhan-Hu-1 strain, harbor Q493 (29), while those of the two major SARS-CoV-2 VOCs, Omicron BA.1 and BA.2, harbor R493 (30). Interestingly, the R493 has reverted to Q493 in subsequent Omicron subvariants such as Omicron BA.4, BA.5, BA.2.75, and BQ.1.1 (31 – 34). Regarding this, Wang et al. showed that the R493Q reversion mutation improves the affinity for human ACE2 (35). Additionally, we have previously shown that the R493Q mutation contributes to the evasion of humoral immunity induced by BA.2, which carries R493, in rodents (31). Therefore, residue 493 of SC2r-CoVs may be relatively easily converted to R493 and Q493, depending on immune evasion and/or affinity to the host ACE2 protein, and the humoral immunity of Rhinolophus bats against SC2r-CoVs may be associated with the conversion of residue 493.
Here, we focused on two Laotian SC2r-CoVs, B236 and B52. However, there are still limitations to this study. First, as the ACE2 genes of their host Rhinolophus bats, R. marshalli and R. malayanus, have not yet been determined, we could not test the receptor tropism of these two SC2r-CoVs on their host species. As there are still several Rhinolophus bat species in Southeast Asia, it would be possible to map the range and diversity of each SC2r-CoV by studying its habitat and ACE2 gene diversity. Second, although we used the publicly available ACE2 gene sequences from each Rhinolophus bat, previous studies focusing on the ACE2 genes of R. affinis and R. sinicus showed the single nucleotide polymorphisms of ACE2 genes in these species and demonstrated that the allelic variation impacts the susceptibility to SC2r-CoVs (e.g., RaTG13) (13, 15). Therefore, not only the difference in the ACE2 gene between species, on which we focused this study, but also the single nucleotide polymorphism of the ACE2 gene within species may affect the tropism of SC2r-CoVs in Rhinolophus bats. Third, here we focused on ACE2, the receptor for the infection of SARS-CoV and SARS-CoV-2; however, recent studies by Guo et al. showed that certain SC2r-CoVs infect cells in an ACE2-independent manner (6, 36, 37). Therefore, it would be difficult to exclude the possibility of the existence of alternative receptor(s) for SC2r-CoVs beyond ACE2. Moreover, although most Merbecoviruses, including the Middle East respiratory syndrome coronavirus, use dipeptidyl peptidase 4 for the infection receptor, a report showed that two Merbecoviruses, PDF-2180 and NeoCoV, identified in Pipistrellus hesperus bats and Neoromicia capensis bats, respectively, employ ACE2 instead of dipeptidyl peptidase 4 for the infection receptor (38). Therefore, coronaviruses may relatively easily change the receptors for infection.
In conclusion, here we showed that ACE2 genes are diversified in Rhinolophus bats and this may determine the tropism of SC2r-CoVs in Rhinolophus bat species. The difference in SC2r-CoVs in Rhinolophus ACE2 tropism may be a driving force that promotes the diversity of circulating viruses in Rhinolophus bats and further confers infectivity to a variety of host species, including humans. Previous studies focusing on the SARS-CoV-2 VOCs have shown that the host range can be altered by mutations in the S gene. For example, although the S protein of the ancestral Wuhan-Hu-1 strain is unable to use murine ACE2 as an infection receptor, the N501Y mutation present in the S proteins of the Alpha and subsequent variants allows murine ACE2 to be used for infection (39). Identifying mutations in the S protein that determine host receptor usage should be an important study to estimate the host range of SC2r-CoVs of concern. Further investigations will be needed to identify and predict SC2r-CoVs in the wild that can be transmitted to humans.
MATERIALS AND METHODS
Nucleotide sequence data collection
The whole genome sequences of known SC2r-CoVs and three SC1r-CoVs [SARS-CoV-1 Tor2 (NC_004718.3), WIV1 (KF367457.1), and LYRa11 (KF569996.1)] were downloaded from NCBI GenBank (https://www.ncbi.nlm.nih.gov/; download date: 24 March 2023). Also, the nucleotide sequences of ACE2 from various species were collected from NCBI GenBank (download date: 24 March 2023). Information on the sarbecoviruses and ACE2 sequences is summarized in Tables 2 and 3.
TABLE 2.
Host species | Accession no. |
---|---|
Rhinolophus affinis | MT394225.1 |
Rhinolophus cornutus | LC564973 |
Rhinolophus ferrumequinum | AB297479.1 |
Rhinolophus macrotis | GQ999932.1 |
Rhinolophus pearsonii | EF569964.1 |
Rhinolophus pusillus | GQ999938.1 |
Rhinolophus shameli | MZ851782.1 |
Rhinolophus sinicus | KC881004.1 |
Hamster | XM_005074209.3 |
Human | NM_021804.3 |
Pangolin | XM_017650263.2 |
TABLE 3.
Virus | Accession no. |
---|---|
BANAL-20-236 | MZ937003.2 |
BANAL-20-103 | MZ937001.1 |
BANAL-20-52 | MZ937000.1 |
Wuhan-Hu-1 | NC_045512.2 |
MP789 (MpCoV-GD) | MT121216.1 |
Guangdong/1/2019 | EPI_ISL_410721 |
RShSTT200 | EPI_ISL_852605 |
RShSTT182 | EPI_ISL_852604 |
RaTG13 | MN996532.2 |
GX-P2V | MT072864.1 |
GX-P5L | MT040335.1 |
GX-P4L | MT040333.1 |
GX-P1E (MpCoV-GX) | MT040334.1 |
GX-P5E | MT040336.1 |
Rc-kw8 | LC663793.1 |
Rc-mk2 | LC663959.1 |
Rc-o319 | LC556375.1 |
Rc-os20 | LC663958.1 |
PDF-2370 | MT726044.1 |
PDF-2386 | MT726043.1 |
PRD-0038 | MT726045.1 |
BtKY72 | KY352407.1 |
BM48-31 | NC_014470.1 |
Khosta-1 | MZ190137.1 |
Khosta-2 | MZ190138.1 |
RhGB01 | MW719567.1 |
Tor2 | NC_004718.3 |
WIV1 | KF367457.1 |
LYRa11 | KF569996.1 |
Molecular phylogenetic analysis
The ML tree of RBDs of SC2r-CoVs was constructed by the following procedures: multiple sequence alignment (MSA) was constructed using MAFFT v7.511 (40) with the default option. Alignment sites with <30% site coverage were excluded using trimAl v1.2rev59 (41). Alignment sites corresponding to the RBD of SARS-CoV-2 S (e.g., nucleotide positions 22,517–23,185 in the SARS-CoV-2 Wuhan-Hu-1 strain) were used for the tree construction. The ML tree was constructed using RAxML-NG v1.1.0 (42) under the GTR + G + I nucleotide substitution model with 100 bootstrap analyses.
In Fig. 1E, the ML tree of nucleotide sequences of Rhinolophus ACE2 was constructed by the following procedures: MSA was constructed using MUSCLE (43) implemented in MEGA11 v11.0.13 (44). The ML tree was constructed using the ML method implemented in MEGA11 under the T92 + G substitution model with 100 bootstrap analyses.
Cell culture
HEK293 cells (a human embryonic kidney cell line; ATCC, CRL-1573), HEK293T cells (a human embryonic kidney cell line; ATCC, CRL-3216), and HOS-ACE2/TMPRSS2 cells (a human osteosarcoma cell line; ATCC, CRL-1543) stably expressing human ACE2 and TMPRSS2 (45, 46) were maintained in Dulbecco’s modified Eagle’s medium (high glucose) (Sigma-Aldrich, Cat# 6429-500ML) containing 10% fetal bovine serum and 1% penicillin-streptomycin (Sigma-Aldrich, Cat# P4333-100ML). The HOS-TMPRSS2 cells that stably express Rhinolophus bat ACE2 were generated as described below (see the section Generation of HOS-TMPRSS2 cells stably expressing a variety of ACE2 proteins) and maintained in Dulbecco’s modified Eagle’s medium (high glucose) (Sigma-Aldrich, Cat# 6429-500ML) containing 10% fetal bovine serum and 1% penicillin-streptomycin (Sigma-Aldrich, Cat# P4333-100ML).
Plasmid construction
Plasmids expressing the codon-optimized S proteins of B236 (GenBank accession no. MZ937003.2) and B52 (GenBank accession no. MZ937000.1) were synthesized by a gene synthesis service (Fasmac). Plasmids expressing the ACE2 proteins of R. sinicus (GenBank accession no. KC881004.1), R. ferrumequinum (GenBank accession no. AB297479.1), R. shameli (GenBank accession no. MZ851782.1), R. pearsonii (GenBank accession no. EF569964.1), R. pusillus (GenBank accession no. GQ999938.1), R. macrotis (GenBank accession no. GQ999932.1), R. affinis (GenBank accession no. MT394225.1), hamster (GenBank accession no. XM_005074209.3), and pangolin (GenBank accession no. XM_017650263.2) were also synthesized by a gene synthesis service (Fasmac). For R. cornutus ACE2 (GenBank accession no. LC564973.1), pCAGGS-blast-RcACE2 (47) was provided. Plasmids expressing the derivatives of codon-optimized S proteins of B236 and B52 and Rhinolophus bat ACE2 were generated by site-directed overlap extension PCR using the following primers:
BANAL52 S-Fw, 5′-cta tag ggc gaa ttg ggt acc atg ttc gtc ttc ctc-3′; BANAL52 S-Rv, 5′-agc tcc acc gcg gtg gcg gcc gct cat gtg tag tgc aa-3′; BANAL236 S-Fw, 5′-cta tag ggc gaa ttg ggt acc atg ttg ttc ttc ttc-3′; BANAL236 S-Rv, 5′-agc tcc acc gcg gtg gcg gcc gct cat gtg tag tgg ag-3′; BANAL-52-Q493K-Fw, 5′-gtt att ttc cac tta agt cat acg gat tcc-3′; BANAL-52-Q493K-Rv, 5′-gga atc cgt atg act taa gtg gaa aat aac-3′; BANAL-236-K493Q-Fw, 5′-gtt act tcc cac tgc aat cat atg gat tcc-3′; BANAL-236-K493Q-Rv, 5′-gga atc cat atg att gca gtg gga agt aac-3′; R_pusillus_inf-Fw, 5′-cta gcc tcg agg ttt gga tcc gcc acc atg tca ggc-3′; ACE2_univr_inf-Rv, 5′-agt tta aac act agt acg cgt cta ctt gtc atc gtc-3′; R_macrotis_inf-Fw, 5′-cta gcc tcg agg ttt gga tcc gcc acc atg tca ggc-3′; R_pusillus_D31K_E35K-Fw, 5′-aaa ttt ttg aac aag ttt aac tcc aaa gct gaa gac ctg-3′; R_pusillus_D31K_E35K-Rv, 5′-cag gtc ttc agc ttt gga gtt aaa ctt gtt caa aaa ttt-3′; R_macrotis_K31D_K35E-Fw, 5′-aaa ttt ttg gac gac ttt aac tct gaa gct gaa gac ctg-3′; R_macrotis_K31D_K35E-Rv, 5′-cag gtc ttc agc ttc aga gtt aaa gtc gtc caa aaa ttt-3′. The resulting PCR fragment was cloned into the KpnI-NotI site of the backbone pCAGGS vector (48) (for the S expression plasmids) or the BamHI/MluI site of pWPI-ACE2-zeo (for ACE2 expression plasmids) (46) with a 3× FLAG tag at the C-terminus using the In-Fusion HD Cloning Kit (Takara, Cat# Z9650N). Nucleotide sequences were determined by DNA sequencing services (Eurofins), and the sequence data were analyzed by Sequencher v5.1 software (Gene Codes Corporation).
Generation of HOS-TMPRSS2 cells stably expressing a variety of ACE2 proteins
To prepare lentiviral vectors expressing ACE2, HEK293T cells (2,000,000 cells) were cotransfected with 12 µg of pCAG-HIVgp, 10 µg of pCMV-VSV-G-RSV-Rev, and 17 µg of either pWPI-ACE2-zeo by the calcium phosphate method. After 12 h of transfection, the culture medium was changed to fresh medium. After 48 h of transfection, the culture supernatant, including lentivector particles, was collected. HOS-TMPRSS2 cells (100,000 cells) were then transduced with the ACE2-expressing lentiviral vector. After 48 h post transduction, transduced cells were maintained for zeocin (50 µg/mL; Invivogen, Cat#ant-zn-1) selections for 14 days.
Pseudovirus assay
A pseudovirus assay was performed as previously described (29 – 32, 46, 49 – 57). Briefly, HIV-1-based, luciferase-expressing reporter viruses were pseudotyped with the S proteins of B236, B52, and their derivatives. HEK293T cells (3,000,000 cells) were cotransfected with 4 µg psPAX2-IN/HiBiT (58), 4 µg pWPI-Luc2 (58), and 2 µg plasmids expressing parental S or its derivatives using PEI Max (Polysciences, Cat# 24765-1) according to the manufacturer’s protocol. Two days post transfection, the culture supernatants were harvested, and the pseudoviruses were stored at −80°C until use. For pseudovirus infection, the amount of input virus was normalized to the HiBiT value measured by the Nano Glo HiBiT lytic detection system (Promega, Cat# N3040), which indicates the amount of p24 HIV-1 antigen. For target cells, the HOS-TMPRSS2 cells stably expressing a variety of Rhinolophus bat ACE2 (Fig. 1D) and the HEK293 cells transfected with the plasmids expressing R. pusillus and R. macrotis ACE2 and their derivatives with TransIT-LT1 (Takara, Cat# MIR2300) (Fig. 3B and D) were used. Two days post infection, the infected cells were lysed with a Bright-Glo Luciferase Assay System (Promega, Cat# E2620), and the luminescent signal was measured using a GloMax Explorer Multimode Microplate Reader (Promega).
Association analysis between the B236 and B52 infection tropisms and polymorphic sites in ACE2 among animals
The results of the B236 and B52 pseudoviral infection assays in cells expressing ACE2 from Rhinolophus bats and other representative species were used. Of these, results for R. affinis, R. cornutus, R. ferrumequinum, R. macrotis, R. pusillus, R. shameli, R. sinicus, hamster, and pangolin were used. We excluded the data for humans and R. pearsonii from the analysis because the data for these species deviated from the trend in which ACE2 proteins more sensitive to B236 infection are less sensitive to B52. First, we calculated relative infectivity [log10(B236 infectivity/B52 infectivity)] for each ACE2 protein. This relative infectivity score was used as an objective variable for the association analysis. We constructed the MSA of ACE2 amino acid sequences using MAFFT v7.511 (40) with the default option. We used amino acid residues in each alignment site of the MSA as qualitative explanatory variables. The statistical significance of the association between the relative infectivity and amino acid residues in an ACE2 polymorphic site was evaluated using a one-way ANOVA. The analysis was performed in R v4.2.1.
Protein structure model
All protein structural analyses were performed using Discovery Studio 2021 (Dassault Systèmes BIOVIA). In Fig. 2F and G, the crystal co-structure of B236 S RBD and human ACE2 (PDB: 7PKI, https://www.rcsb.org/structure/7PKI) (6) was used as the template, and 40 homology models of the B52 S RBD were generated using the Build homology model protocol MODELLER v9.24 (59). Evaluation of the homology models was performed using PDF total scores and DOPE scores, and the best model for the B52 S was selected. Homology models of ACE2 in R. cornutus, R. pusillus, R. macrotis, or R. sinicus were generated in the same way as B52 S RBD. The crystal co-structures of B236 S RBD and human ACE2 (PDB: 7PKI, https://www.rcsb.org/structure/7PKI) (6) were used. To predict interaction between S RBD and ACE2, the structure of human ACE2 was replaced by the homology models of ACE2 in R. cornutus, R. pusillus, R. macrotis, or R. sinicus. In Fig. 2G, the structure of B236 S RBD was replaced by the homology model of B52 S RBD.
Western blot
Western blot was performed as previously described (30, 31, 52, 54, 56, 60). For the blot, the supernatants of HEK293T cells cotransfected with the S expression plasmids and HIV-1-based pseudovirus producing plasmids, or HEK293 cells cotransfected with bat ACE2 expression plasmids (see the section Pseudovirus assay) were used. The harvested cells were washed and lysed in RIPA buffer [50 mM Tris-HCl buffer (pH 7.6), 150 mM NaCl, 1% Nonidet P-40, 0.5% sodium deoxycholate, 0.1% SDS], protease inhibitor cocktail (Nacalai Tesque, Cat# 03969-21). The lysates were diluted with 2× sample buffer [100 mM Tris-HCl (pH 6.8), 4% SDS, 12% β-mercaptoethanol, 20% glycerol, 0.05% bromophenol blue]. Both samples were boiled for 10 m. Then, 10 µL samples were subjected to Western blotting. In addition, 900 µL culture medium containing the pseudoviruses at 250 ng HIV-1 p24 antigen was layered onto 500 µL 20% sucrose in PBS and centrifuged at 20,000 × g for 2 h at 4°C. Pelleted virions were resuspended in 1× sample buffer [50 mM Tris-HCl (pH 6.8), 2% SDS, 6% β-mercaptoethanol, 10% glycerol, 0.0025% bromophenol blue] and boiled for 10 m. For protein detection, the following antibodies were used: mouse anti-SARS-CoV-2 S monoclonal antibody (clone 1A9, GeneTex, Cat# GTX632604, 1:10,000), mouse anti-HIV-1 p24 monoclonal antibody (183-H12-5C, obtained from the HIV Reagent Program, NIH, Cat# ARP-3537, 1:1,000), mouse anti-alpha-tubulin (TUBA) monoclonal antibody (clone DM1A, Sigma-Aldrich, Cat# T9026, 1:10,000), horseradish peroxidase (HRP)-conjugated mouse anti-FLAG monoclonal antibody (clone M2, Sigma-Aldrich, Cat# A8592, 1:1,000), and HRP-conjugated horse anti-mouse IgG antibody (Cell Signaling, Cat# 7076S, 1:2,000). Chemiluminescence was detected using SuperSignal West Femto Maximum Sensitivity Substrate (Thermo Fisher Scientific, Cat# 34095) or Western Lightning Plus-ECL (PerkinElmer, Cat# NEL104001EA) according to the manufacturer’s instructions. Bands were visualized using the ChemiDoc Touch Imaging System (Bio-Rad).
ACKNOWLEDGMENTS
We would like to thank all members belonging to the Genotype to Phenotype Japan (G2P-Japan) Consortium. The supercomputer resource was provided by the Human Genome Center at The University of Tokyo. We thank Dr. Shin Murakami (The University of Tokyo) for providing pCAGGS-blast-RcACE2. We gratefully acknowledge all data contributors, i.e., the Authors and their Originating laboratories responsible for obtaining the specimens, and their Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.
This study was supported in part by AMED SCARDA Japan Initiative for World-leading Vaccine Research and Development Centers "UTOPIA" (JP223fa627001 to Kei Sato), AMED SCARDA Program on R&D of new generation vaccine including new modality application (JP223fa727002 to Kei Sato); AMED Research Program on Emerging and Re-emerging Infectious Diseases (JP22fk0108511 to G2P-Japan Consortium and Kei Sato; JP22fk0108516 to Kei Sato; JP22fk0108506 to Kei Sato; JP22fk0108146 to Kei Sato; JP21fk0108494 to G2P-Japan Consortium and Kei Sato; JP21fk0108425 to Kei Sato; JP21fk0108432 to Kei Sato); AMED Research Program on HIV/AIDS (JP22fk0410039 to Kei Sato); JST PRESTO (JPMJPR22R1 to Jumpei Ito); JST CREST (JPMJCR20H4 to Kei Sato); JSPS KAKENHI Grant-in-Aid for Early-Career Scientists (20K15767 to Jumpei Ito; 23K14526 to Jumpei Ito); JSPS Core-to-Core Program (A. Advanced Research Networks) (JPJSCCA20190008 to Kei Sato); and JST SPRING (JPMJSP2108 to Shigeru Fujita).
Members of the Genotype to Phenotype Japan (G2P-Japan) Consortium are as follows: Keita Matsuno, Naganori Nao, Hirofumi Sawa, Shinya Tanaka, Masumi Tsuda, Lei Wang, Yoshikata Oda, Zannatul Ferdous, Kenji Shishido, Takasuke Fukuhara, Tomokazu Tamura, Rigel Suzuki, Saori Suzuki, and Hayato Ito (Hokkaido University, Japan), Yu Kaku, Naoko Misawa, Arnon Plianchaisuk, Ziyi Guo, Alfredo A. Hinay, Jr., Keiya Uriu, Jarel Elgin M. Tolentino, Luo Chen, Lin Pan, Mai Suganami, Mika Chiba, Ryo Yoshimura, Kyoko Yasuda, Keiko Iida, Naomi Ohsumi, Adam P. Strange, and Shiho Tanaka (University of Tokyo, Japan), Kazuhisa Yoshimura, Kenji Sadamasu, Mami Nagashima, Hiroyuki Asakura, and Isao Yoshida (Tokyo Metropolitan Institute of Public Health, Japan), So Nakagawa (Tokai University, Japan), Kotaro Shirakawa, Akifumi Takaori-Kondo, Kayoko Nagata, Ryosuke Nomura, Yoshihito Horisawa, Yusuke Tashiro, Yugo Kawai, Kazuo Takayama, Rina Hashimoto, Sayaka Deguchi, Yukio Watanabe, Ayaka Sakamoto, Naoko Yasuhara, Takao Hashiguchi, Tateki Suzuki, Kanako Kimura, Jiei Sasaki, Yukari Nakajima, and Hisano Yajima (Kyoto University, Japan), Takashi Irie and Ryoko Kawabata (Hiroshima University, Japan), Kaori Tabata (Kyushu University, Japan), Terumasa Ikeda, Hesham Nasser, Ryo Shimizu, M. S. T. Monira Begum, Michael Jonathan, Yuka Mugita, Otowa Takahashi, Kimiko Ichihara, Chihiro Motozono, Takamasa Ueno, and Mako Toyoda (Kumamoto University, Japan), and Akatsuki Saito, Maya Shofa, Yuki Shibatani, and Tomoko Nishiuchi (University of Miyazaki, Japan).
Contributor Information
Kei Sato, Email: KeiSato@g.ecc.u-tokyo.ac.jp.
Tom Gallagher, Loyola University Chicago, Maywood, Illinois, USA .
The Genotype to Phenotype Japan (G2P-Japan) Consortium:
Keita Matsuno, Naganori Nao, Hirofumi Sawa, Shinya Tanaka, Masumi Tsuda, Lei Wang, Yoshikata Oda, Zannatul Ferdous, Kenji Shishido, Takasuke Fukuhara, Tomokazu Tamura, Rigel Suzuki, Saori Suzuki, Hayato Ito, Yu Kaku, Naoko Misawa, Arnon Plianchaisuk, Ziyi Guo, Alfredo A. Hinay, Keiya Uriu, Jarel Elgin M. Tolentino, Luo Chen, Lin Pan, Mai Suganami, Mika Chiba, Ryo Yoshimura, Kyoko Yasuda, Keiko Iida, Naomi Ohsumi, Adam P. Strange, Shiho Tanaka, Kazuhisa Yoshimura, Kenji Sadamasu, Mami Nagashima, Hiroyuki Asakura, Isao Yoshida, So Nakagawa, Akifumi Takaori-Kondo, Kayoko Nagata, Ryosuke Nomura, Yoshihito Horisawa, Yusuke Tashiro, Yugo Kawai, Kazuo Takayama, Rina Hashimoto, Sayaka Deguchi, Yukio Watanabe, Ayaka Sakamoto, Naoko Yasuhara, Takao Hashiguchi, Tateki Suzuki, Kanako Kimura, Jiei Sasaki, Yukari Nakajima, Hisano Yajima, Takashi Irie, Ryoko Kawabata, Kaori Tabata, Terumasa Ikeda, Hesham Nasser, Ryo Shimizu, M. S. T. Monira Begum, Michael Jonathan, Yuka Mugita, Otowa Takahashi, Kimiko Ichihara, Chihiro Motozono, Takamasa Ueno, Mako Toyoda, Akatsuki Saito, Maya Shofa, Yuki Shibatani, Tomoko Nishiuchi, and Kotaro Shirakawa
DATA AVAILABILITY
The computational codes used in the present study are available on the GitHub repository (https://github.com/TheSatoLab/BANAL_tropism).
REFERENCES
- 1. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD, Chen J, Luo Y, Guo H, Jiang RD, Liu MQ, Chen Y, Shen XR, Wang X, Zheng XS, Zhao K, Chen QJ, Deng F, Liu LL, Yan B, Zhan FX, Wang YY, Xiao GF, Shi ZL. 2020. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 588:270–273. doi: 10.1038/s41586-020-2951-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Zhou H, Chen X, Hu T, Li J, Song H, Liu Y, Wang P, Liu D, Yang J, Holmes EC, Hughes AC, Bi Y, Shi W. 2020. A novel bat coronavirus closely related to SARS-CoV-2 contains natural insertions at the S1/S2 cleavage site of the spike protein. Curr Biol 30:3896. doi: 10.1016/j.cub.2020.09.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Wacharapluesadee S, Tan CW, Maneeorn P, Duengkae P, Zhu F, Joyjinda Y, Kaewpom T, Chia WN, Ampoot W, Lim BL, Worachotsueptrakun K, Chen VC-W, Sirichan N, Ruchisrisarod C, Rodpan A, Noradechanon K, Phaichana T, Jantarat N, Thongnumchaima B, Tu C, Crameri G, Stokes MM, Hemachudha T, Wang L-F. 2021. Evidence for SARS-CoV-2 related coronaviruses circulating in bats and pangolins in Southeast Asia. Nat Commun 12:1430. doi: 10.1038/s41467-021-21768-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Zhou H, Ji J, Chen X, Bi Y, Li J, Wang Q, Hu T, Song H, Zhao R, Chen Y, Cui M, Zhang Y, Hughes AC, Holmes EC, Shi W. 2021. Identification of novel bat coronaviruses sheds light on the evolutionary origins of SARS-CoV-2 and related viruses. Cell 184:4380–4391. doi: 10.1016/j.cell.2021.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Delaune D, Hul V, Karlsson EA, Hassanin A, Ou TP, Baidaliuk A, Gámbaro F, Prot M, Tu VT, Chea S, Keatts L, Mazet J, Johnson CK, Buchy P, Dussart P, Goldstein T, Simon-Lorière E, Duong V. 2021. A novel SARS-CoV-2 related coronavirus in bats from cambodia. Nat Commun 12:6563. doi: 10.1038/s41467-021-26809-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Temmam S, Vongphayloth K, Baquero E, Munier S, Bonomi M, Regnault B, Douangboubpha B, Karami Y, Chrétien D, Sanamxay D, Xayaphet V, Paphaphanh P, Lacoste V, Somlor S, Lakeomany K, Phommavanh N, Pérot P, Dehan O, Amara F, Donati F, Bigot T, Nilges M, Rey FA, van der Werf S, Brey PT, Eloit M. 2022. Bat coronaviruses related to SARS-CoV-2 and infectious for human cells. Nature 607:330–336. doi: 10.1038/s41586-022-05048-7 [DOI] [PubMed] [Google Scholar]
- 7. Murakami S, Kitamura T, Suzuki J, Sato R, Aoi T, Fujii M, Matsugo H, Kamiki H, Ishida H, Takenaka-Uema A, Shimojima M, Horimoto T. 2020. Detection and characterization of bat sarbecovirus phylogenetically related to SARS-CoV-2, Japan. Emerg Infect Dis 26:3025–3029. doi: 10.3201/eid2612.203386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Xiao K, Zhai J, Feng Y, Zhou N, Zhang X, Zou JJ, Li N, Guo Y, Li X, Shen X, Zhang Z, Shu F, Huang W, Li Y, Zhang Z, Chen RA, Wu YJ, Peng SM, Huang M, Xie WJ, Cai QH, Hou FH, Chen W, Xiao L, Shen Y. 2020. Isolation of SARS-CoV-2-related coronavirus from Malayan pangolins. Nature 583:286–289. doi: 10.1038/s41586-020-2313-x [DOI] [PubMed] [Google Scholar]
- 9. Lam TT-Y, Jia N, Zhang Y-W, Shum MH-H, Jiang J-F, Zhu H-C, Tong Y-G, Shi Y-X, Ni X-B, Liao Y-S, Li W-J, Jiang B-G, Wei W, Yuan T-T, Zheng K, Cui X-M, Li J, Pei G-Q, Qiang X, Cheung WY-M, Li L-F, Sun F-F, Qin S, Huang J-C, Leung GM, Holmes EC, Hu Y-L, Guan Y, Cao W-C. 2020. Identifying SARS-Cov-2-related coronaviruses in Malayan pangolins. Nature 583:282–285. doi: 10.1038/s41586-020-2169-0 [DOI] [PubMed] [Google Scholar]
- 10. Liu K, Pan X, Li L, Yu F, Zheng A, Du P, Han P, Meng Y, Zhang Y, Wu L, Chen Q, Song C, Jia Y, Niu S, Lu D, Qiao C, Chen Z, Ma D, Ma X, Tan S, Zhao X, Qi J, Gao GF, Wang Q. 2021. Binding and molecular basis of the bat coronavirus RaTG13 virus to Ace2 in humans and other species. Cell 184:3438–3451. doi: 10.1016/j.cell.2021.05.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Niu S, Wang J, Bai B, Wu L, Zheng A, Chen Q, Du P, Han P, Zhang Y, Jia Y, Qiao C, Qi J, Tian WX, Wang HW, Wang Q, Gao GF. 2021. Molecular basis of cross-species Ace2 interactions with SARS-CoV-2-like viruses of pangolin origin. EMBO J 40:e107786. doi: 10.15252/embj.2021107786 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Wrobel AG, Benton DJ, Xu P, Calder LJ, Borg A, Roustan C, Martin SR, Rosenthal PB, Skehel JJ, Gamblin SJ. 2021. Structure and binding properties of pangolin-Cov spike glycoprotein inform the evolution of SARS-CoV-2. Nat Commun 12:837. doi: 10.1038/s41467-021-21006-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Li P, Hu J, Liu Y, Ou X, Mu Z, Lu X, Zan F, Cao M, Tan L, Dong S, Zhou Y, Lu J, Jin Q, Wang J, Wu Z, Zhang Y, Qian Z, Menachery VD. 2023. Effect of polymorphism in Rhinolophus affinis Ace2 on entry of SARS-CoV-2 related bat coronaviruses. PLoS Pathog 19:e1011116. doi: 10.1371/journal.ppat.1011116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Yan H, Jiao H, Liu Q, Zhang Z, Xiong Q, Wang BJ, Wang X, Guo M, Wang LF, Lan K, Chen Y, Zhao H. 2021. Ace2 receptor usage reveals variation in susceptibility to SARS-CoV and SARS-CoV-2 infection among bat species. Nat Ecol Evol 5:600–608. doi: 10.1038/s41559-021-01407-1 [DOI] [PubMed] [Google Scholar]
- 15. Guo H, Hu BJ, Yang XL, Zeng LP, Li B, Ouyang S, Shi ZL. 2020. Evolutionary arms race between virus and host drives genetic diversity in bat severe acute respiratory syndrome-related coronavirus spike genes. J Virol 94:e00902-20. doi: 10.1128/JVI.00902-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Kumar S, Suleski M, Craig JM, Kasprowicz AE, Sanderford M, Li M, Stecher G, Hedges SB. 2022. Timetree 5: an expanded resource for species divergence times. Mol Biol Evol 39:msac174. doi: 10.1093/molbev/msac174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Shang J, Ye G, Shi K, Wan Y, Luo C, Aihara H, Geng Q, Auerbach A, Li F. 2020. Structural basis of receptor recognition by SARS-CoV-2. Nature 581:221–224. doi: 10.1038/s41586-020-2179-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Maginnis MS. 2018. Virus-receptor interactions: the key to cellular invasion. J Mol Biol 430:2590–2611. doi: 10.1016/j.jmb.2018.06.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Shi Y, Wu Y, Zhang W, Qi J, Gao GF. 2014. “Enabling the 'host jump': structural determinants of receptor-binding specificity in influenza A viruses”. Nat Rev Microbiol 12:822–831. doi: 10.1038/nrmicro3362 [DOI] [PubMed] [Google Scholar]
- 20. de Graaf M, Fouchier RAM. 2014. Role of receptor binding specificity in influenza A virus transmission and pathogenesis. EMBO J 33:823–841. doi: 10.1002/embj.201387442 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Russell RM, Bibollet-Ruche F, Liu W, Sherrill-Mix S, Li Y, Connell J, Loy DE, Trimboli S, Smith AG, Avitto AN, Gondim MVP, Plenderleith LJ, Wetzel KS, Collman RG, Ayouba A, Esteban A, Peeters M, Kohler WJ, Miller RA, François-Souquiere S, Switzer WM, Hirsch VM, Marx PA, Piel AK, Stewart FA, Georgiev AV, Sommer V, Bertolani P, Hart JA, Hart TB, Shaw GM, Sharp PM, Hahn BH. 2021. Cd4 receptor diversity represents an ancient protection mechanism against primate lentiviruses. Proc Natl Acad Sci U S A 118:e2120901118. doi: 10.1073/pnas.2025914118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Gautam R, Gaufin T, Butler I, Gautam A, Barnes M, Mandell D, Pattison M, Tatum C, Macfarland J, Monjure C, Marx PA, Pandrea I, Apetrei C. 2009. Simian immunodeficiency virus SIVrcm, a unique CCR2-Tropic virus, selectively depletes memory CD4+ T cells in pigtailed macaques through expanded coreceptor usage in vivo. J Virol 83:7894–7908. doi: 10.1128/JVI.00444-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Chen Z, Kwon D, Jin Z, Monard S, Telfer P, Jones MS, Lu CY, Aguilar RF, Ho DD, Marx PA. 1998. Natural infection of a homozygous Delta24 CCR5 red-capped mangabey with an R2B-tropic simian immunodeficiency virus. J Exp Med 188:2057–2065. doi: 10.1084/jem.188.11.2057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Wetzel KS, Yi Y, Elliott STC, Romero D, Jacquelin B, Hahn BH, Muller-Trutwin M, Apetrei C, Pandrea I, Collman RG. 2017. CXCR6-mediated simian immunodeficiency virus SIVagmsab entry into Sabaeus African green monkey lymphocytes Implicates widespread use of non-CCR5 pathways in natural host infections. J Virol 91:e01626-16. doi: 10.1128/JVI.01626-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Riddick NE, Wu F, Matsuda K, Whitted S, Ourmanov I, Goldstein S, Goeken RM, Plishka RJ, Buckler-White A, Brenchley JM, Hirsch VM. 2015. Simian immunodeficiency virus SIVagm efficiently utilizes non-CCR5 entry pathways in African green monkey lymphocytes: potential role for GPR15 and CXCR6 as viral coreceptors. J Virol 90:2316–2331. doi: 10.1128/JVI.02529-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Elliott STC, Wetzel KS, Francella N, Bryan S, Romero DC, Riddick NE, Shaheen F, Vanderford T, Derdeyn CA, Silvestri G, Paiardini M, Collman RG. 2015. Dualtropic CXCR6/CCR5 simian immunodeficiency virus (SIV) infection of sooty mangabey primary lymphocytes: distinct coreceptor use in natural versus pathogenic hosts of SIV. J Virol 89:9252–9261. doi: 10.1128/JVI.01236-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Ng M, Ndungo E, Kaczmarek ME, Herbert AS, Binger T, Kuehne AI, Jangra RK, Hawkins JA, Gifford RJ, Biswas R, Demogines A, James RM, Yu M, Brummelkamp TR, Drosten C, Wang L-F, Kuhn JH, Müller MA, Dye JM, Sawyer SL, Chandran K. 2015. Filovirus receptor NPC1 contributes to species-specific patterns of Ebolavirus susceptibility in bats. Elife 4:e11785. doi: 10.7554/eLife.11785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Takadate Y, Kondoh T, Igarashi M, Maruyama J, Manzoor R, Ogawa H, Kajihara M, Furuyama W, Sato M, Miyamoto H, Yoshida R, Hill TE, Freiberg AN, Feldmann H, Marzi A, Takada A. 2020. Niemann-pick C1 heterogeneity of bat cells controls filovirus tropism. Cell Rep 30:308–319. doi: 10.1016/j.celrep.2019.12.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Kimura I, Kosugi Y, Wu J, Zahradnik J, Yamasoba D, Butlertanaka EP, Tanaka YL, Uriu K, Liu Y, Morizako N, Shirakawa K, Kazuma Y, Nomura R, Horisawa Y, Tokunaga K, Ueno T, Takaori-Kondo A, Schreiber G, Arase H, Motozono C, Saito A, Nakagawa S, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. The SARS-CoV-2 lambda variant exhibits enhanced infectivity and immune resistance. Edited by Motozono C., Saito A., Nakagawa S., and Sato K.. Cell Rep 38:110218. doi: 10.1016/j.celrep.2021.110218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Yamasoba D, Kimura I, Nasser H, Morioka Y, Nao N, Ito J, Uriu K, Tsuda M, Zahradnik J, Shirakawa K, Suzuki R, Kishimoto M, Kosugi Y, Kobiyama K, Hara T, Toyoda M, Tanaka YL, Butlertanaka EP, Shimizu R, Ito H, Wang L, Oda Y, Orba Y, Sasaki M, Nagata K, Yoshimatsu K, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Kuramochi J, Seki M, Fujiki R, Kaneda A, Shimada T, Nakada T-A, Sakao S, Suzuki T, Ueno T, Takaori-Kondo A, Ishii KJ, Schreiber G, Sawa H, Saito A, Irie T, Tanaka S, Matsuno K, Fukuhara T, Ikeda T, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike. Edited by Sawa H., Saito A., Irie T., Tanaka S., Matsuno K., Fukuhara T., and Ikeda T.. Cell 185:2103–2115. doi: 10.1016/j.cell.2022.04.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Kimura I, Yamasoba D, Tamura T, Nao N, Suzuki T, Oda Y, Mitoma S, Ito J, Nasser H, Zahradnik J, Uriu K, Fujita S, Kosugi Y, Wang L, Tsuda M, Kishimoto M, Ito H, Suzuki R, Shimizu R, Begum MM, Yoshimatsu K, Kimura KT, Sasaki J, Sasaki-Tabata K, Yamamoto Y, Nagamoto T, Kanamune J, Kobiyama K, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Shirakawa K, Takaori-Kondo A, Kuramochi J, Schreiber G, Ishii KJ, Hashiguchi T, Ikeda T, Saito A, Fukuhara T, Tanaka S, Matsuno K, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Virological characteristics of the novel SARS-CoV-2 Omicron variants including BA.4 and BA.5. Cell 185:3992–4007. doi: 10.1016/j.cell.2022.09.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Saito A, Tamura T, Zahradnik J, Deguchi S, Tabata K, Anraku Y, Kimura I, Ito J, Yamasoba D, Nasser H, Toyoda M, Nagata K, Uriu K, Kosugi Y, Fujita S, Shofa M, Monira Begum M, Shimizu R, Oda Y, Suzuki R, Ito H, Nao N, Wang L, Tsuda M, Yoshimatsu K, Kuramochi J, Kita S, Sasaki-Tabata K, Fukuhara H, Maenaka K, Yamamoto Y, Nagamoto T, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Ueno T, Schreiber G, Takaori-Kondo A, Shirakawa K, Sawa H, Irie T, Hashiguchi T, Takayama K, Matsuno K, Tanaka S, Ikeda T, Fukuhara T, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Virological characteristics of the SARS-CoV-2 Omicron BA.2.75 variant. Cell Host Microbe 30:1540–1555. doi: 10.1016/j.chom.2022.10.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Ito J, Suzuki R, Uriu K, Itakura Y, Zahradnik J, Kimura KT, Deguchi S, Wang L, Lytras S, Tamura T, Kida I, Nasser H, Shofa M, Begum MM, Tsuda M, Oda Y, Suzuki T, Sasaki J, Sasaki-Tabata K, Fujita S, Yoshimatsu K, Ito H, Nao N, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Yamamoto Y, Nagamoto T, Kuramochi J, Schreiber G, Saito A, Matsuno K, Takayama K, Hashiguchi T, Tanaka S, Fukuhara T, Ikeda T, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2023. Convergent evolution of the SARS-CoV-2 Omicron subvariants leading to the emergence of BQ.1.1 variant. Nat Commun 14:2671. doi: 10.1038/s41467-023-38188-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Tamura T, Ito J, Uriu K, Zahradnik J, Kida I, Anraku Y, Nasser H, Shofa M, Oda Y, Lytras S, Nao N, Itakura Y, Deguchi S, Suzuki R, Wang L, Begum MM, Kita S, Yajima H, Sasaki J, Sasaki-Tabata K, Shimizu R, Tsuda M, Kosugi Y, Fujita S, Pan L, Sauter D, Yoshimatsu K, Suzuki S, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Yamamoto Y, Nagamoto T, Schreiber G, Maenaka K, Hashiguchi T, Ikeda T, Fukuhara T, Saito A, Tanaka S, Matsuno K, Takayama K, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2023. Virological characteristics of the SARS-CoV-2 XBB variant derived from recombination of two Omicron subvariants. Nat Commun 14:2800. doi: 10.1038/s41467-023-38435-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Wang Q, Guo Y, Iketani S, Nair MS, Li Z, Mohri H, Wang M, Yu J, Bowen AD, Chang JY, Shah JG, Nguyen N, Chen Z, Meyers K, Yin MT, Sobieszczyk ME, Sheng Z, Huang Y, Liu L, Ho DD.. 2022. Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4, & BA.5. Nature doi: 10.1038/s41586-022-05053-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Guo H, Li A, Dong TY, Su J, Yao YL, Zhu Y, Shi ZL, Letko M. 2022. Ace2-independent bat sarbecovirus entry and replication in human and bat cells. mBio 13:e0256622. doi: 10.1128/mbio.02566-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Guo H, Li A, Dong T-Y, Si H-R, Hu B, Li B, Zhu Y, Shi Z-L, Letko M. 2023. Isolation of ACE2-dependent and -independent sarbecoviruses from Chinese horseshoe bats. BioRxiv. doi: 10.1101/2023.03.02.530738 [DOI] [PMC free article] [PubMed]
- 38. Xiong Q, Cao L, Ma C, Tortorici MA, Liu C, Si J, Liu P, Gu M, Walls AC, Wang C, Shi L, Tong F, Huang M, Li J, Zhao C, Shen C, Chen Y, Zhao H, Lan K, Corti D, Veesler D, Wang X, Yan H. 2022. Close relatives of MERS-CoV in bats use Ace2 as their functional receptors. Nature 612:748–757. doi: 10.1038/s41586-022-05513-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Gu H, Chen Q, Yang G, He L, Fan H, Deng YQ, Wang Y, Teng Y, Zhao Z, Cui Y, Li Y, Li XF, Li J, Zhang NN, Yang X, Chen S, Guo Y, Zhao G, Wang X, Luo DY, Wang H, Yang X, Li Y, Han G, He Y, Zhou X, Geng S, Sheng X, Jiang S, Sun S, Qin CF, Zhou Y. 2020. Adaptation of SARS-CoV-2 in BALB/C mice for testing vaccine efficacy. Science 369:1603–1607. doi: 10.1126/science.abc4730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Katoh K, Standley DM. 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30:772–780. doi: 10.1093/molbev/mst010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. 2009. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25:1972–1973. doi: 10.1093/bioinformatics/btp348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. 2019. RaxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics 35:4453–4455. doi: 10.1093/bioinformatics/btz305 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Edgar RC. 2004. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5:113. doi: 10.1186/1471-2105-5-113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Tamura K, Stecher G, Kumar S. 2021. Mega11: molecular evolutionary genetics analysis version 11. Mol Biol Evol 38:3022–3027. doi: 10.1093/molbev/msab120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Ozono S, Zhang Y, Ode H, Sano K, Tan TS, Imai K, Miyoshi K, Kishigami S, Ueno T, Iwatani Y, Suzuki T, Tokunaga K. 2021. SARS-CoV-2 D614G spike mutation increases entry efficiency with enhanced ACE2-binding affinity. Nat Commun 12:848. doi: 10.1038/s41467-021-21118-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Ferreira IATM, Kemp SA, Datir R, Saito A, Meng B, Rakshit P, Takaori-Kondo A, Kosugi Y, Uriu K, Kimura I, Shirakawa K, Abdullahi A, Agarwal A, Ozono S, Tokunaga K, Sato K, Gupta RK, CITIID-NIHR BioResource COVID-19 Collaboration, Indian SARS-CoV-2 Genomics Consortium, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2021. SARS-CoV-2 B.1.617 mutations L452R and E484Q are not synergistic for antibody evasion. J Infect Dis 224:989–994. doi: 10.1093/infdis/jiab368 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Murakami S, Kitamura T, Matsugo H, Kamiki H, Oyabu K, Sekine W, Takenaka-Uema A, Sakai-Tagawa Y, Kawaoka Y, Horimoto T. 2022. Isolation of bat sarbecoviruses, Japan. Emerg Infect Dis 28:2500–2503. doi: 10.3201/eid2812.220801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Niwa H, Yamamura K, Miyazaki J. 1991. Efficient selection for high-expression transfectants with a novel eukaryotic vector. Gene 108:193–199. doi: 10.1016/0378-1119(91)90434-d [DOI] [PubMed] [Google Scholar]
- 49. Motozono C, Toyoda M, Zahradnik J, Saito A, Nasser H, Tan TS, Ngare I, Kimura I, Uriu K, Kosugi Y, Yue Y, Shimizu R, Ito J, Torii S, Yonekawa A, Shimono N, Nagasaki Y, Minami R, Toya T, Sekiya N, Fukuhara T, Matsuura Y, Schreiber G, Ikeda T, Nakagawa S, Ueno T, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2021. SARS-CoV-2 spike L452R variant evades cellular immunity and increases infectivity. Edited by Ikeda T., Nakagawa S., Ueno T., and Sato K.. Cell Host Microbe 29:1124–1136. doi: 10.1016/j.chom.2021.06.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Uriu K, Kimura I, Shirakawa K, Takaori-Kondo A, Nakada T-A, Kaneda A, Nakagawa S, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2021. Neutralization of the SARS-CoV-2 mu variant by convalescent and vaccine serum. N Engl J Med 385:2397–2399. doi: 10.1056/NEJMc2114706 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Fujita S, Kosugi Y, Kimura I, Yamasoba DThe Genotype To Phenotype Japan G P-Japan Consortium Sato K. 2022. Structural insight into the resistance of the SARS-CoV-2 Omicron BA.4 and BA.5 variants to cilgavimab. Viruses 14:2677. doi: 10.3390/v14122677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Suzuki R, Yamasoba D, Kimura I, Wang L, Kishimoto M, Ito J, Morioka Y, Nao N, Nasser H, Uriu K, Kosugi Y, Tsuda M, Orba Y, Sasaki M, Shimizu R, Kawabata R, Yoshimatsu K, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Sawa H, Ikeda T, Irie T, Matsuno K, Tanaka S, Fukuhara T, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant. Nature 603:700–705. doi: 10.1038/s41586-022-04462-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Uriu K, Cardenas P, Munoz E, Barragan V, Kosugi Y, Shirakawa K, Takaori-Kondo A, Sato K. 2022. Characterization of the immune resistance of SARS-CoV-2 mu variant and the robust immunity induced by mu infection. J Infect Dis. doi: 10.1093/infdis/jiac053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Saito A, Irie T, Suzuki R, Maemura T, Nasser H, Uriu K, Kosugi Y, Shirakawa K, Sadamasu K, Kimura I, Ito J, Wu J, Iwatsuki-Horimoto K, Ito M, Yamayoshi S, Loeber S, Tsuda M, Wang L, Ozono S, Butlertanaka EP, Tanaka YL, Shimizu R, Shimizu K, Yoshimatsu K, Kawabata R, Sakaguchi T, Tokunaga K, Yoshida I, Asakura H, Nagashima M, Kazuma Y, Nomura R, Horisawa Y, Yoshimura K, Takaori-Kondo A, Imai M, Tanaka S, Nakagawa S, Ikeda T, Fukuhara T, Kawaoka Y, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Enhanced fusogenicity and pathogenicity of SARS-CoV-2 Delta P681R mutation. Nature 602:300–306. doi: 10.1038/s41586-021-04266-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Yamasoba D, Kosugi Y, Kimura I, Fujita S, Uriu K, Ito J, Sato K, Genotype to Phenotype Japan (G2P-Japan) Consortium . 2022. Neutralisation sensitivity of SARS-CoV-2 Omicron subvariants to therapeutic monoclonal antibodies. Lancet Infect Dis 22:942–943. doi: 10.1016/S1473-3099(22)00365-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Kimura I, Yamasoba D, Nasser H, Zahradnik J, Kosugi Y, Wu J, Nagata K, Uriu K, Tanaka YL, Ito J, Shimizu R, Tan TS, Butlertanaka EP, Asakura H, Sadamasu K, Yoshimura K, Ueno T, Takaori-Kondo A, Schreiber G, Toyoda M, Shirakawa K, Irie T, Saito A, Nakagawa S, Ikeda T, Sato K. 2022. The SARS-CoV-2 spike S375F mutation characterizes the Omicron BA.1 variant. iScience 25:105720. doi: 10.1016/j.isci.2022.105720 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Uriu K, Ito J, Zahradnik J, Fujita S, Kosugi Y, Schreiber G, Phenotype Japan C, Sato K. 2023. Enhanced transmissibility, infectivity, and immune resistance of the SARS-Cov-2 Omicron XBB.1.5 variant. Lancet Infect Dis 23:280–281. doi: 10.1016/S1473-3099(23)00051-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Ozono S, Zhang Y, Tobiume M, Kishigami S, Tokunaga K. 2020. Super-rapid quantitation of the production of HIV-1 harboring a luminescent peptide tag. J Biol Chem 295:13023–13030. doi: 10.1074/jbc.RA120.013887 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Fiser A, Do RK, Sali A. 2000. Modeling of loops in protein structures. Protein Sci 9:1753–1773. doi: 10.1110/ps.9.9.1753 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Nasser H, Shimizu R, Ito J, TGtPJGP-J C, Saito A, Sato K, Ikeda T. 2022. Monitoring fusion kinetics of viral and target cell membranes in living cells using a SARS-CoV-2 spike-protein-mediated membrane fusion assay. STAR Protoc 3:101773. doi: 10.1016/j.xpro.2022.101773 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The computational codes used in the present study are available on the GitHub repository (https://github.com/TheSatoLab/BANAL_tropism).