Abstract
Hosts have evolved diverse strategies to respond to microbial infections, including the detection of pathogen-encoded proteases by inflammasome-forming sensors such as NLRP1 and CARD8. Here, we find that the 3CL protease (3CLpro) encoded by diverse coronaviruses, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), cleaves a rapidly evolving region of human CARD8 and activates a robust inflammasome response. CARD8 is required for cell death and the release of pro-inflammatory cytokines during SARS-CoV-2 infection. We further find that natural variation alters CARD8 sensing of 3CLpro, including 3CLpro-mediated antagonism rather than activation of megabat CARD8. Likewise, we find that a single nucleotide polymorphism (SNP) in humans reduces CARD8’s ability to sense coronavirus 3CLpros and, instead, enables sensing of 3C proteases (3Cpro) from select picornaviruses. Our findings demonstrate that CARD8 is a broad sensor of viral protease activities and suggests that CARD8 diversity contributes to inter- and intraspecies variation in inflammasome-mediated viral sensing and immunopathology.
This study describes an innate immune mechanism for sensing coronavirus and picornavirus infection by detecting the activity of virus-encoded proteases. Genetic variants among mammalian hosts affect which viruses can be sensed by this host ‘tripwire’ system, confirming its importance in the evolutionary arms race between viruses and the host immune response.
Introduction
Effector-triggered immunity (ETI) is a host defense strategy by which innate immune sensors recognize pathogens via the detection of pathogen-specific activities [1–7]. Long recognized as an important strategy of host defense in plants, ETI has only recently been considered to have a role in vertebrate pathogen recognition [1–3,7]. In particular, a subset of inflammasome-forming innate immune sensors detect pathogen-specific activities. Inflammasomes are large, intracellular immune complexes that coordinate downstream inflammatory responses. Upon pathogen detection, inflammasome-forming sensors oligomerize into platforms for the recruitment and activation of pro-inflammatory caspases, predominantly caspase-1 (CASP1), to initiate inflammatory signaling via interleukin (IL)-1β and IL-18 and pyroptotic cell death through cleavage of the pore-forming protein Gasdermin D (GSDMD) [8–10].
In humans, the activity of viral proteases can be sensed by the inflammasome-forming sensors CARD8 and NLRP1 [11–15]. CARD8 comprises a disordered N-terminal region and a C-terminal function-to-find domain (FIIND) and caspase activation and recruitment domain (CARD). The FIIND undergoes self-cleavage resulting in a bipartite sensor, with the disordered N-terminus acting as a “tripwire” for viral proteases [16]. For instance, proteolytic cleavage of CARD8 by the HIV-1 protease (HIV-1pro) leads to proteasome-dependent “functional degradation” [17,18] of the cleaved N-terminus and release of the bioactive CARD-containing C-terminus, which is sufficient for inflammasome assembly and activation [15]. However, the extent to which CARD8 has evolved to sense other viral proteases and function as an innate immune sensor of viral infection has been unclear.
Here, we find that CARD8 is a dynamically evolving ETI sensor of a diverse range of viral proteases and is an important component of cellular sensing of coronavirus infection. First, we demonstrate that site-specific cleavage of CARD8 by the coronavirus 3C-like protease (3CLpro) activates the CARD8 inflammasome and that infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or the seasonal coronavirus, hCoV-229E, leads to CARD8-dependent cell death and pro-inflammatory cytokine release. Our evolutionary and functional studies further indicate that CARD8 sequence variation between species and within humans has a profound impact on the ability to sense viral proteases. For instance, we find that bats have either lost CARD8 or have a CARD8 protein that is antagonized, rather than activated, by coronavirus 3CLpro cleavage. Furthermore, we find that a high-frequency human single nucleotide polymorphism (SNP) within the 3CLpro cleavage site attenuates the ability of CARD8 to sense coronavirus 3CLpro. Strikingly, we find that this same human SNP potentiates the ability of CARD8 to sense the 3C proteases (3Cpros) from a subset of human picornaviruses, suggestive of an evolutionary trade-off in CARD8 that may shape individual responses to viral infection. In total, our work reveals the broad capacity of CARD8 to sense a diverse set of coronavirus 3CL and picornaviral 3Cpros and promote an inflammasome response in a manner that is exquisitely host and virus specific.
The SARS-CoV-2 3CLpro activates the human CARD8 inflammasome via proteolysis within the disordered N-terminus
Based on prior work showing that HIV-1pro could activate CARD8 [15], we reasoned that other viral proteases might activate the CARD8 inflammasome. To predict if the CARD8 inflammasome can sense coronavirus infection by mimicking sites of viral polyprotein cleavage, we adapted our previous bioinformatic approach [14] to generate a predictive model for the cleavage specificity of Coronaviridae 3CLpro (also known as main protease (Mpro)), which has been shown to cleave host proteins in addition to the coronavirus polyprotein [16,19–22]. The resulting 3CLpro cleavage motif, XXΦQ[G/A/S]XXX (where Φ denotes a hydrophobic residue and X denotes any amino acid) (Figs 1A and S1 and S1 and S2 Tables), is broadly consistent with previous studies [23–26] and allowed us to predict 2 putative 3CLpro cleavage sites within the N-terminus of human CARD8 (Fig 1A).
To determine if human CARD8 is cleaved by coronavirus 3CLpro, we coexpressed an N-terminal 3xFlag/mCherry-tagged isoform of human CARD8 (wild-type (WT)) with 3CLpro (encoded by nsp5) from SARS-CoV-2 in HEK293T cells (Figs 1B and S2). We used HIV-1pro as a positive control since it had previously been shown to cleave CARD8 between residues F59-F60 (site F59 in Fig 1A and 1B). We observed an approximately 34 kDa CARD8 product in the presence of SARS-CoV-2 3CLpro but not the catalytically inactive C145A 3CLpro mutant. The approximately 34 kDa product is predicted to result from cleavage at site Q37 (Fig 1A), which migrated slightly below the cleavage product of HIV-1pro. Mutating the putative P1 residue in the Q37 site (CARD8 Q37A) eliminated the 34 kDa product, confirming SARS-CoV-2 3CLpro cleavage at this site. The CARD8 Q37A mutant also revealed a cryptic approximately 37 kDa 3CLpro-dependent product, which matches cleavage at the predicted site Q61 (Figs 1A and S2). The CARD8 Q37A Q61A mutant was completely insensitive to cleavage by SARS-CoV-2 3CLpro (Fig 1B), whereas cleavage by the HIV-1pro was unperturbed by either mutant. Thus, CARD8 can be cleaved by SARS-CoV-2 3CLpro at amino acid sequences that mimic the coronavirus polyprotein cleavage site.
For both NLRP1 and CARD8, N-terminal proteolytic cleavage can activate CASP1 in a reconstituted inflammasome assay [13–15,18,27]. Consistent with the prior observation that CARD8 is endogenously expressed in some HEK293T cell lines [15], transfection of our HEK293T cells with only CASP1, pro-IL-1β, and SARS-CoV-2 3CLpro resulted in robust CASP1-dependent processing of pro-IL-1β to mature bioactive IL-1β (p17) as measured by immunoblot or IL-1β reporter assay (see Materials and methods) (Fig 1C and 1D). Importantly, 3CLpro-mediated inflammasome activation occurred independently of ASC, which is required for NLRP3 and NLRP1 inflammasome activation, but not CARD8 inflammasome activation [28–30]. We further confirmed a requirement for CARD8 by showing that there was no inflammasome activation when 3CLpro was expressed in CARD8 knockout (KO) cells (Fig 1D).
To confirm that SARS-CoV-2 3CLpro cleavage of CARD8 is responsible for inflammasome activation, we complemented CARD8 KO cells with WT CARD8 or cleavage site mutants. Complementation with WT CARD8 rescued both HIV-1pro- and 3CLpro-induced inflammasome activation (Figs 1E and S3). In contrast, whereas CARD8 3CLpro cleavage site mutants had no effect on HIV-1pro-induced inflammasome activation, 3CLpro-induced inflammasome activation was reduced or abolished in CARD8 KO cells complemented with CARD8 Q37A or CARD8 Q37A Q61A, respectively (Figs 1E and S3). We observed that 3CLpro-induced inflammasome activation in CARD8 KO cells complemented with CARD8 Q61A, however, was not significantly different compared to cells complemented with WT CARD8 (S4 Fig). These results validate that 3CLpro site-specific cleavage at site Q37 but not Q61 is required for CARD8 inflammasome activation. As expected, 3CLpro inflammasome activation did not occur in CARD8 KO cells complemented with the CARD8 FIIND autoprocessing mutant (S297A) (S5 Fig) [15,31,32]. Taken together, our results indicate that human CARD8 senses the proteolytic activity of the SARS-CoV-2 3CLpro, which drives inflammasome activation via functional degradation.
To test if proteases from other coronaviruses also cleave CARD8, we cloned 3CLpros from other human-relevant betacoronaviruses (Beta-CoVs) (SARS-CoV (SARS), MERS-CoV (MERS), hCoV-HKU1 (HKU1)), 2 human Alpha-CoVs (hCoV-229E (229E) and hCoV-NL63 (NL63)), and the mouse Beta-CoV murine hepatitis virus (MHV) (S6 Fig). Consistent with their structural and cleavage motif similarity [33], we found that every tested 3CLpro was able to cleave and activate CARD8 in a site-specific manner (Figs 1F and S7). Thus, ETI by human CARD8 takes advantage of the evolutionary constraint on viral protease cleavage specificity to sense both endemic and pandemic human coronaviruses.
Coronavirus infection activates the CARD8 inflammasome
We next evaluated the consequences of CARD8 inflammasome activation by infecting the human monocyte-like cell line THP-1 with hCoV-229E. We found that hCoV-229E-infected WT but not 2 independently derived CARD8 KO THP-1 cell lines underwent significant cell death (Fig 2A) and release of IL-1β (Fig 2B), a result similar to treatment with Val-boroPro (VbP) (S8 Fig), which specifically activates the CARD8 inflammasome in myeloid and lymphoid lineages [32,34]. Virus-induced cell death and VbP-induced cell death were both dependent on CASP1, validating the involvement of the inflammasome for viral sensing (S9 Fig).
To further confirm that specific cleavage of CARD8 by 3CLpro during viral infection is required for inflammasome-mediated sensing and cell death, we complemented CARD8 KO THP-1 cells with either WT CARD8, cleavage resistant CARD8 (Q37A Q61A) or FIIND mutant CARD8 (S297A). As expected, complementation of CARD8 KO cells with WT or cleavage-resistant CARD8 restored responsiveness to VbP, whereas complementation with FIIND mutant CARD8 did not (S10 Fig). We next infected these cell lines with hCoV-229E and compared cell viability of the complemented lines to the parental THP-1 and CARD8 KO THP-1 cells. Importantly, we observed virus-induced cell death when we complemented cells with WT CARD8 but not the cleavage resistant CARD8 or FIIND mutant CARD8 (Figs 2C and S11). These results validate that CARD8 senses coronavirus infection through protease-mediated cleavage of the CARD8 tripwire.
Recent evidence indicates that SARS-CoV-2 infection [35,36] or uptake via FcγR-mediated antibody-dependent enhancement [37] by monocytes or macrophages induces inflammasome activation. To determine if CARD8 senses and responds to SARS-CoV-2 infection in THP-1 cells, we engineered WT or CARD8 KO THP-1 cells to express ACE2 and TMPRSS2 (THP-1A+T). As with hCoV-229E, we found that SARS-CoV-2 infection of THP-1A+T WT but not CARD8 KO cells induced both cell death and IL-1β release (Fig 2D and 2E). Together, our results demonstrate that CARD8 is a bona fide innate immune sensor of coronavirus infection via the detection of the enzymatic activity of viral 3CLpro.
Inter- and intrahost diversity in CARD8 impacts inflammatory responses to coronavirus proteases
Host–virus interactions, including those between viral proteases and host cleavage targets, are often engaged in evolutionary arms races that shape the species specificity of these interactions [16,38–40]. Indeed, we have previously shown that the CARD8 homolog and viral protease sensor, NLRP1, has been duplicated and recurrently lost across mammalian evolution. NLRP1 also displays strong signatures of positive selection in an N-terminal region of the protein that is cleaved by pathogen-encoded proteases, which we refer to as the “tripwire” region due to its role in host-specific virus detection and subsequent inflammasome activation [14,27]. We thus predicted that CARD8 may have a similarly dynamic evolutionary history and that host inter- and intraspecies variation would underlie differences in CARD8 cleavage and inflammasome activation by coronavirus 3CLpros.
We first found that both CARD8 and NLRP1 are each present in only certain mammalian lineages, consistent with their dynamic roles in host defense as opposed to dedicated housekeeping functions (Fig 3A). For instance, we found that within the order Chiroptera (bats), microbats retain a NLRP1 ortholog but have lost CARD8, whereas megabats have lost NLRP1 and only encode CARD8. Because bats serve as main reservoir hosts of emerging coronaviruses [41,42], but CARD8 is missing from microbats, we tested if the CARD8 inflammasome could serve as a sensor for 3CLpro in the megabat species Rousettus aegyptiacus. Unlike human CARD8, the R. aegyptiacus CARD8 (CARD8Ra) N-terminus lacks sites Q37 and Q61 and was not cleaved by SARS-CoV-2 3CLpro. We did, however, observe a cleavage product that matched a predicted 3CLpro site at Q349 in CARD8Ra downstream of the FIIND autoprocessing site in the inflammasome-forming C-terminus (Fig 3A and 3B). Interestingly, megabats are the only mammals with a serine in the P1’ position of the cleavage site (Figs 3A and S12), which is preferred for cleavage based on our computational model (Fig 1A). Indeed, a threonine in this position (S350T), which is found in human CARD8 as well as most other mammals (S12 Fig), prevents cleavage of CARD8Ra by SARS-CoV-2 3CLpro (Fig 3C). We next wished to test the functional effect of 3CLpro on the megabat CARD8 inflammasome. First, we determined if functional degradation could activate megabat CARD8 by inserting a TEVpro cleavage site into the N-terminus of CARD8Ra, permitting TEVpro cleavage of CARD8Ra-TEV but not WT CARD8Ra. When coexpressed with CASP1 and pro-IL-1β from R. aegyptiacus, TEVpro cleavage of CARD8Ra-TEV resulted in inflammasome activation, indicating that we can reconstitute the R. aegyptiacus CARD8 inflammasome in human cells (Fig 3D). Using this reconstitution system, we found that SARS-CoV-2 3CLpro does not activate and, in fact, antagonizes TEV-mediated CARD8Ra inflammasome activation (Fig 3D), similar to our previous observations of viral proteases that antagonize the activation of the NLRP1 inflammasome [14]. We further found that all 3CLpros that we tested can instead prevent TEVpro-mediated activation of the CARD8Ra inflammasome (Fig 3E). Together with the loss of CARD8 from many bat species, these data provide a putative mechanism of disease tolerance that protects bats from immunopathogenic effects of inflammasome activation.
We next focused on the evolution of human CARD8. Supporting a previous genome-wide study [43], we found evidence that CARD8 has evolved under recurrent positive selection in hominoids and Old World monkeys, which we find is primarily driven by the N-terminal region of the protein (Fig 4A). Codon-based analyses also show that positively selected sites are predominantly found in the N-terminus, including a codon at position 60 that lies in the HIV-1pro site and the secondary coronavirus 3CLpro site (Figs 4B and S13 and S5 Table). We thus infer that, like NLRP1, the CARD8 disordered N-terminus is a molecular “tripwire” that is rapidly evolving to mimic viral polyprotein sites and sense diverse viral proteases.
We further analyzed the human population for nonsynonymous SNPs in CARD8 (Fig 4B). Within the N-terminus, we found several high frequency human SNPs, including a S39P variant that resides at the P2’ position within the 3CLpro cleavage site and is present in >20% of all sampled African and African American individuals (GnomAD v3.1.2; [44]) (Fig 4B and S5 and S6 Tables). Strikingly, while CARD8 S39 and P39 variants are similarly cleaved and activated by HIV-1pro, the CARD8 P39 variant exhibits reduced sensitivity to cleavage and activation by coronavirus 3CLpros (Figs 4C, 4D and S14). This is reinforced by our observation that a proline in the P2’ position is never found in the >10,000 polyprotein cleavage sites we sampled from Beta-CoVs (Fig 1A and S1 Table). In contrast, another human SNP (R40W) found in approximately 1 in every 2,000 alleles (S5 Table) does not detectably affect CARD8 cleavage in our assays (Fig 4C and 4D).
To determine if the CARD8 polymorphism at CARD8 residue 39 affects its sensing of coronaviruses, we complemented our CARD8 KO THP-1 cells with the P39 CARD8 variant. We found that VbP responsiveness was restored when we complemented CARD8 KO cells with CARD8 P39 (S15 Fig), indicating that the P39 CARD8 variant is functional. However, unlike what we observed for CARD8 S39 (i.e., the reference allele) (Fig 2C), we observed that CARD8 P39 did not restore responsiveness to hCoV-229E infection (Fig 4E). These data suggest that polymorphism within the tripwire region of human CARD8 alters sensing and inflammasome responses to coronavirus infection.
A human SNP confers a specificity switch for CARD8 sensing of coronavirus 3CLpro and human rhinovirus 3Cpro
We next considered if the CARD8 P39 variant, in addition to affecting sensing of coronavirus 3CLpros, might also alter recognition of other viral pathogens. We noticed that although a P2’ proline is disfavored in our model for 3CLpro cleavage, a P2’ proline is strongly preferred in our previously published model for cleavage site specificity for the 3Cpro from members of the enterovirus genus within the viral family Picornaviridae (Fig 5A) [14]. Indeed, our 3Cpro motif search [14] identified a cleavage site in CARD8 P39 but not CARD8 S39 (Fig 5A). Validating these bioinformatic predictions, cleavage assays with the 3Cpro from the respiratory enterovirus, human rhinovirus (HRV), revealed that HRV 3Cpro cleavage of human CARD8 at site Q37 is considerably more pronounced for the P39 variant than the S39 variant (Fig 5B). Likewise, we found that inflammasome activation by HRV 3Cpro was nearly absent in HEK293T CARD8 KO cells complemented with CARD8 S39, whereas we observed robust inflammasome activation in cells complemented with CARD8 P39—the opposite sensitivity observed for SARS-CoV-2 3CLpro (Fig 5C and 5D).
Finally, we wished to determine how human CARD8 sequence variation impacts cleavage by 3Cpros from a diverse range of picornaviruses. A recent paper found that infection with the enterovirus Coxsackievirus B3 (CVB3) could activate the inflammasome via cleavage of the S39 variant of CARD8 [11]. Although we do observe some cleavage of the CARD8 S39 variant by enterovirus 3Cpros, we found that every tested enterovirus 3Cpro cleaves the CARD8 P39 with higher efficiency than the S39 variant, as we saw with HRV (S16 Fig). Also like HRV, we observe increased inflammasome activation when the P39 variant is tested against diverse enterovirus 3Cpros. For instance, 3Cpro from either enterovirus D68 (EV68) or poliovirus (PV1) activates the CARD8 inflammasome when the P39 variant is used but results in little to no activation when the S39 variant is used (S16 Fig). In contrast, 3Cpros from non-enteroviral picornaviruses exhibit different cleavage and activation patterns when comparing the S39 and P39 variants. For instance, 3Cpro from Aichi virus (Aichi) resembles SARS-CoV-2 3CLpro by resulting in activation of inflammasomes reconstituted with CARD8 S39 but not the P39 variant whereas rosavirus (Rosa2) 3Cpro resulted in activation regardless of the variant (S16 Fig). Thus, a single amino acid change in CARD8 functions as a viral specificity switch between coronaviruses and enteroviruses, and even among diverse picornaviruses, underscoring the importance of pathogen-driven evolution in shaping inflammasome responses.
Discussion
As is clear from the ongoing Coronavirus Disease 2019 (COVID-19) pandemic, understanding the molecular mechanisms that drive viral sensing and inflammatory pathogenesis during infection remains key to developing rationalized, host-directed treatments to support antiviral defense or quell severe disease. CARD8 is expressed in airway epithelia [45] and other cell types, including monocytes and T cells [32,34,46] that are physiologically relevant for respiratory coronaviruses and picornaviruses [45,47,48], including SARS-CoV-2 [35–37]. Our data showing that SARS-CoV-2 infection activates the CARD8 inflammasome in THP-1 cells is consistent with findings that inflammasome activation contributes to severe COVID-19 and suggests that the CARD8 inflammasome in monocytes and macrophages contribute to inflammation in COVID-19 patients.
Based on our results and the finding that FcγR-mediated uptake of SARS-CoV-2 virions into monocytes leads to abortive infection [37], we speculate that CARD8-dependent pyroptosis contributes to the poor permissiveness of myeloid cells for SARS-CoV-2 [49], wherein the myeloid compartment may not substantially contribute to viral load but likely impacts immunopathology via inflammasome-driven inflammation [50,51]. Prior reports have proposed a similar role for the NLRP3 inflammasome in myeloid cells [35–37]. One potential model is that CARD8-dependent GSDMD pore formation contributes to NLRP3 inflammasome activation, which also offers an explanation for CARD8-dependent release of IL-1β [30]. Interestingly, the SARS-CoV-2 3CLpro also cleaves and activates NLRP1 in airway epithelia [12]. This results in cell death via a noncanonical NLRP1>CASP8>CASP3>GSDME inflammasome pathway, suggesting that the cellular context of inflammasome responses may uniquely shape antiviral defense and/or inflammation.
Beyond SARS-CoV-2, we demonstrate that 3CLpros from human-relevant coronaviruses such as 229E, NL63, HKU1, SARS, and MERS also cleave CARD8 at the evolutionarily dynamic Q37 site, leading to activation of the CARD8 inflammasome and release of pro-inflammatory cytokines such as IL-1β. Furthermore, numerous 3Cpros from human-relevant picornaviruses including the enteroviruses CVB3, PV1, EV68, HRV, as well as non-enteroviruses such as encephalomyocarditis virus, human parechovirus, Aichi virus, hepatitis A virus, salivirus, and rosavirus also cleave and activate the CARD8 inflammasome. Although each of these viruses infect humans, their disease outcomes range from mild inflammation to acute respiratory distress syndrome, and we speculate that a multitude of variables such as cell tropism and viral replication kinetics dictate the outcome of virus-induced inflammasome activation in antiviral immunity and pathogenesis.
The potential role of human CARD8 in inflammatory pathogenesis raised the possibility that bats, the presumed reservoir for many human-relevant Beta-CoVs [41], may limit disease by avoiding 3CLpro-induced inflammasome activation. Consistent with this possibility, we found that CARD8 was either lacking in bats, or coronavirus 3CLpros antagonize rather than activate megabat CARD8, reminiscent of prior work demonstrating that bats have a dampened NLRP3 inflammasome response [52]. We infer that viral evasion or antagonism of inflammasomes may be a general mechanism underlying the diminished immunopathologies of reservoir hosts of pathogenic viruses.
We also identified a high-frequency nonsynonymous SNP in human CARD8 that changes its specificity for viral proteases. The CARD8 P39 variant does not detect coronavirus 3CLpros and, instead, enables sensing of several enteroviral 3Cpros, including PV1, EV68, and HRV, suggestive of an evolutionary trade-off for CARD8-mediated detection of different groups of human viruses. Given the impact of SNPs on human CARD8 sensing of pathogenic viruses, it is tempting to speculate that diminished CARD8 inflammasome activation may be a contributing factor to variation in COVID-19 disease outcomes, and more generally for other human pathogenic coronavirus and picornavirus infections. Further studies are required to establish this connection.
Taken together, our findings establish CARD8 as a rapidly evolving, polymorphic, innate immune sensor of positive-sense RNA viruses. We demonstrate that CARD8 has the capacity to detect viral proteases from at least 3 viral families that include important human pathogens: Coronaviridae, Picornaviridae, and Retroviridae. This diverse pathogen sensing is the result of viral protease site mimics in the disordered N-terminus of CARD8, which allows activation by one or more viruses using the same tripwire region. Our results also indicate that CARD8 evolution may dynamically reshape the repertoire of host-specific sensing of viral infection. Thus, our work not only identifies an important new mechanism of sensing coronavirus infection in humans, but also builds on the emerging concept that ETI is an important mechanism of pathogen recognition, including the use of host mimicry of viral polyprotein cleavage motifs as an evolutionary strategy in the ongoing arms race between host and viruses.
Materials and methods
Motif generation and search
To build the Beta-CoV 3CLpro cleavage motif, 995 nonredundant Beta-CoV polyprotein sequences were collected from the Viral Pathogen Resource (ViPR) [53] and aligned with 5 well-annotated reference enteroviral polyprotein sequences from RefSeq (S1A and S1B Fig). P1 and P1’ of the annotated cleavage sites across the RefSeq sequences served as reference points for putative cleavage sites across the 995 ViPR sequences (S1 Table). Four amino acid residues upstream (P4-P1) and downstream (P1’-P4’) of each cleavage site were extracted from every MAFFT-aligned [54] polyprotein sequence, resulting in 1000 sets of cleavage sites (RefSeq sites included) (S1 Table). Each set of cleavage sites representative of each polyprotein was then concatenated (S2 Table). Next, duplicates were removed from the concatenated cleavage sites (S2 Table). The remaining 60 nonredundant, concatenated cleavage sites were then split into individual 8-mer cleavage sites and were aligned using MAFFT [54] to generate Geneious-defined [55] sequence logo information at each aligned position (S2 Table). Pseudo-counts to the position-specific scoring matrix were adjusted as described previously [14] and a motif p-value cutoff of 0.00231 corresponding to detection of 99% of the initial polyprotein cleavage sites was selected (S1 Fig).
Sequence alignments and phylogenetic trees
Complete polyprotein sequences from 60 Beta-CoVs with nonredundant cleavage sites (see “Motif generation and search” section above) were downloaded from ViPR. Sequences were aligned using MAFFT [54] and a neighbor-joining phylogenetic tree was generated using Geneious software [55].
Evolutionary analyses
For phylogenomic analyses of CARD8 and NLRP1 (Fig 3A), human CARD8 (accession NP_001338711) and human NLRP1 (accession NP_127497.1) were used as BLASTP [56] search queries against the indicated mammalian proteomes (Fig 3A). A species was determined to have an ortholog if it had a protein with >50% sequence identity, >70% sequence coverage, and was the bidirectional best hit to the indicated human protein. The species tree shown in Fig 3A is based on NCBI Common Tree (https://www.ncbi.nlm.nih.gov/Taxonomy/CommonTree/wwwcmt.cgi). To identify regions of mammalian CARD8s that are orthologous to the 3CLpro cleavage site (Q349) in R. aegyptiacus CARD8, a 50 amino acid region of R. aegyptiacus CARD8 that was centered on the Q349 cleavage site was used as a BLASTP query against the entire RefSeq protein database with a 60% sequence identity cutoff. A single CARD8 sequence from each species (S12 Fig) was aligned using MAFFT [54] and trimmed to only include the 8 amino acids spanning the cleavage site.
For positive selection analyses, primate nucleotide sequences that aligned to human full-length CARD8 (Protein: NP_001338711, mRNA: NM_001351782.2) were downloaded from NCBI and aligned using MAFFT [54]. Only 8 other primate sequences, only from hominoids and Old World monkeys, were fully alignable to full-length human CARD8 (sequence accessions in S3 Table). Maximum likelihood (ML) tests were performed with codeml in the PAML software suite [57] or using BUSTED [58] on the DataMonkey [59] server. For PAML, aligned sequences were subjected to ML tests using NS sites models disallowing (M7) or allowing (M8) positive selection. The p-value reported is the result of a chi-squared test on twice the difference of the log likelihood (lnL) values between the 2 models using 2 degrees of freedom. We confirmed convergence of lnL values by performing each analysis using 2 starting omega (dN/dS) values (0.4 and 1.5). Results are reported from analyses using the F61 codon frequency model. Analyses with the F3x4 model gave similar results. For evolutionary analyses of regions of CARD8, the full-length alignment was truncated to only include codons 1 to 161 (“tripwire” region) or 162 to 537 (FIIND-CARD region) and PAML or BUSTED analyses were performed as described above.
We used 3 independent methods to estimate individual codons within CARD8 that have been subject to positive selection (S4 Table). PAML was used to identify positively selected codons with a posterior probability greater than 0.90 using a Bayes Empirical Bayes (BEB) analysis and the F61 or F3x4 codon frequency models. The same CARD8 alignment was also used as input for FEL [60] and FUBAR [61] using the DataMonkey [59] server. In both cases, default parameters were used and codons with a signature of positive selection with a p-value of <0.1 are reported. In all cases, codon numbers correspond to the amino acid position and residue in human CARD8 (NCBI accession NP_001338711).
Plasmids and constructs
Megabat CARD8, CASP1, IL-1β, and all 3CLpro sequences were ordered as either gBlocks (Integrated DNA Technologies, San Diego, CA) or Twist Gene Fragments (Twist Biosciences, South San Francisco, CA). All sequences are found in S7 Table. Vectors containing the coding sequences of human CARD8, ASC, human CASP1, human IL-1β-V5, and TEVpro were previously described [27]. Vector psPAX2 containing the untagged coding sequence for HIV-1 gag-pol was a gift from Didier Trono (Addgene plasmid # 12260).
For CARD8 cleavage assays, the coding sequences of human CARD8 (NCBI accession NP_001171829.1), human CARD8 mutants (Q37A, Q37A Q61A, S39P, R40W), human CARD8 TEV, R. aegyptiacus (megabat) CARD8 (NCBI accession XP_016010896), and megabat CARD8 TEV were cloned into the pcDNA5/FRT/TO backbone (Invitrogen, Carlsbad, CA) with an N-terminal 3xFlag-mCherry tag. For CARD8 activation and complementation assays, the same sequences were cloned into the pQCXIP vector backbone (Takara Bio, Mountain View, CA) or the doxycycline-inducible plasmid pLKO-puro (gift from Melissa Kane) with a C-terminal Myc tag, respectively. Megabat CASP1 (NCBI accession KAF6464288) and megabat IL-1β (NCBI accession KAF6447073), also from R. aegyptiacus, were cloned in the same vector as their respective human orthologues. 3CLpro sequences were cloned with an N-terminal HA tag into the QCXIP vector backbone, flanked by polyprotein cleavage sites fused to N-terminal eGFP and C-terminal mCherry (S2 Fig). 3Cpro constructs were described previously [14].
Single point mutations were made using overlapping stitch PCR. All plasmid stocks were sequenced across the entire inserted region to verify that no mutations were introduced during the cloning process. The primers used for cloning are described in S7 Table.
Cell culture and transient transfection
All cell lines (HEK293T, HEK-Blue-IL-1β) are routinely tested for mycoplasma by PCR kit (ATCC, Manassas, VA) and kept at a low passage number to maintain less than 1 year since purchase, acquisition, or generation. HEK293T cells were obtained from ATCC (catalog # CRL-3216) and HEK-Blue-IL-1β cells were obtained from Invivogen (catalog # hkb-il1b) and all lines were verified by those sources and were grown in complete media containing DMEM (Gibco, Carlsbad, CA), 10% FBS, and appropriate antibiotics (Gibco, Carlsbad, CA). THP-1 cells were purchased from ATCC and grown in complete media containing RPMI (Gibco, Carlsbad, CA), 10% FBS, and 1% L-glutamine. For transient transfections, HEK293T cells were seeded the day prior to transfection in a 24-well plate (Genesee, El Cajon, CA) with 500 μl complete media. Cells were transiently transfected with 500 ng of total DNA and 1.5 μl of Transit X2 (Mirus Bio, Madison, WI) following the manufacturer’s protocol. HEK-Blue IL-1β reporter cells (Invivogen, San Diego, CA) were grown and assayed in 96-well plates (Genesee, El Cajon, CA).
Generation of knockout and transgenic cell lines
CARD8 KOs in HEK293T cells were generated similarly to NLRP1 KOs described in [14]. Briefly, lentivirus-like particles were made by transfecting HEK293T cells with the plasmids psPAX2 (gift from Didier Trono, Addgene plasmid # 12260), pMD2.G (gift from Didier Trono, Addgene plasmid # 12259), and either pLB-Cas9 (gift from Feng Zhang, Addgene plasmid # 52962) [62] or plentiGuide-Puro, which was adapted for ligation-independent cloning (gift from Moritz Gaidt) [63]. Conditioned supernatant was harvested 48 and 72 h post-transfection and used for spinfection of HEK293T cells at 1,200 × g for 90 min at 32°C. Cells with stable expression of Cas9 were selected in media containing 100 μg/ml blasticidin, 48 h post-spinfection. Blasticidin-resistant cells were then transduced with sgRNA-encoding lentivirus-like particles and selected in media containing 0.5 μg/ml puromycin. Cells resistant to blasticidin and puromycin were single cell cloned by limiting dilution in 96-well plates and confirmed as KOs by Sanger sequencing. CARD8 and CASP1 KO THP-1 cells were generated as described previously [64]. Briefly, CARD8-specific and CASP1-specific sgRNAs were designed using CHOPCHOP [65] and cloned into a plasmid containing U6-sgRNA-CMV-mCherry-T2A-Cas9 using ligation-independent cloning. THP-1 cells were electroporated using the BioRad GenePulser Xcell. After 24 h, mCherry-positive cells were sorted and plated for cloning by limiting dilution. Monoclonal lines were validated as KOs by deep sequencing and OutKnocker analysis, as described previously [66,67]. KO lines were further validated by immunoblot and functional assays. sgRNA used to generate KOs are described in S7 Table. To make THP-1 cells susceptible to SARS-CoV-2 infection [68], ACE2 and TMPRSS2 expressing THP-1 cells were made using the same lentiviral transduction protocol as described above, but using the transfer plasmid PpWIP-IRES-Bla-AK-ACE2-IRES-TMPRSS2 (gift from Sonja Best). THP-1 cells were selected with 10 μg/ml blasticidin.
THP-1 treatments and viral infections of WT and CARD8 KO THP-1 cells
Around 50,000 to 100,000 THP-1 cells were seeded per well in 96-well round bottom plates in 50 μl OptiMEM containing 500 ng/mL Pam3CSK4 for 6 h, followed by treatment with VbP (10 μM) or infection with the coronaviruses hCoV-229E (BEI NR-52726) or SARS-CoV-2 (USA/WA-1/2020, BEI NR-52281) at indicated multiplicities of infection (MOIs). Supernatants were harvested for the detection of IL-1β (see below), 48 h post-treatment or infection. Cells were transferred to a white-walled 96-well assay plate and mixed with an equal volume of Cell Titer Glo reagent (Promega). Measurements for fluorescence at 544–15 nm (excitation), 620–20 nm (emission), or luminescence at 555–70 (emission) were taken following incubation at room temperature, rocking for 10 min.
CARD8 complementation and infection
Lentiviruses used for complementation were generated by transfecting HEK293T in 6-well format (2 mL total volume) using TransIT-LT1 reagent (Mirus Bio LLC). Cells were cotransfected with doxycycline-inducible pLKO-CARD8 complementing constructs, psPAX2, and pMD2.G, and media was replaced the next day. Virus-containing supernatants were harvested 2 d post-transfection and used to transduce CARD8 KO THP-1 cells. CARD8 KO THP-1 cells were seeded at 2 × 105 cells/well in 6-well plates and transduced with 800 μL virus in the presence of 1 μg/mL polybrene via spinoculation at 1,200 × g for 90 min at 32°C, then puro-selected 24 h post-transduction. Following selection, cells were kept at low passage for all functional assays.
For infection experiments with complemented cell lines, 15,000 THP-1 cells (parental, CARD8 KO, and complemented CARD8 KO cells) were seeded in white 96-well plates. After 48 h, cells were treated with doxycycline (10 ng/μL) and infected with 200 PFU hCoV-229E unless otherwise indicated. Cells were incubated at 33°C for 48 h. Cell viability was measured using the CellTiter-Glo Luminescent Cell Viability kit (Promega). Briefly, 48 h post-infection, half of the uninfected cells were treated with Triton-X (1% final solution). The CellTiter-Glo Buffer was mixed with the CellTiter-Glo Substrate and added to each well. The cells were gently rocked for 2 min and then incubated at room temperature for an additional 10 min. Luminescence was read on a BioTek Cytation5 Imaging Reader (Agilent). To calculate percent viability, the average luminescence units for Triton-X treated cells was subtracted from the virus infected cells. This value was divided by the luminescence units for Triton-X subtracted from uninfected, untreated cells. Experiments were performed 3 to 10 independent times with 3 to 6 replicates per condition.
CARD8 cleavage assays
100 ng of epitope-tagged human CARD8 (WT, Q37A, Q37A Q61A, S39P, R40W), human CARD8 TEV, megabat CARD8 WT, or megabat CARD8 TEV was cotransfected with either HA-tagged QCXIP empty vector (“−”), 250 ng of TEVpro, 250 ng of untagged HIV-1pro (HIV-1 gag-pol carrying HIV-1 protease activity), 5 ng of HA-tagged 3CLpro, or 250 ng of HA-tagged 3Cpro-encoding constructs. The cells were harvested, lysed in 1× NuPAGE LDS sample buffer (Invitrogen, Carlsbad, CA) containing 5% β-mercaptoethanol (Fisher Scientific, Pittsburg, PA), and immunoblotted with antibodies described in S8 Table, 24 h post-transfection.
CARD8 activity assays
To reconstitute the human CARD8 inflammasome, 100 ng of human CASP1 and 50 ng of human IL-1β-V5 were cotransfected with 50 ng of either HA-tagged QCXIP empty vector, WT, or mutant pQCXIP-CARD8-Myc constructs in CARD8 KO HEK293T cells. To reconstitute the megabat CARD8 inflammasome, 10 ng of megabat CASP1 and 50 ng of megabat IL-1β-V5 were cotransfected with 2 ng megabat CARD8 constructs in CARD8 KO HEK293T cells. These cells were further cotransfected with either empty vector (“−”), 250 ng of TEVpro, 100 ng of untagged HIV-1 gag-pol (with HIV-1 protease activity), 5 ng of HA-tagged 3CLpro, 100 ng of HA-tagged enteroviral 3Cpro, or 20 ng of HA-tagged non-enteroviral 3Cpro-encoding constructs. After 24 h, cells were harvested and lysed in 1× NuPAGE LDS sample buffer containing 5% β-mercaptoethanol and immunoblotted with antibodies described in S8 Table, or culture media was harvested for quantification of IL-1β levels by HEK-Blue assays (see below). Appearance of the mature p17 band of IL-1β indicates successful assembly and activation of the inflammasome.
HEK-Blue IL-1β assay
To quantify the levels of bioactive IL-1β released from cells, we employed HEK-Blue IL-1β reporter cells (Invivogen, San Diego, CA). In these cells, binding to IL-1β to the surface receptor IL-1R1 results in the downstream activation of NF-kB and subsequent production of secreted embryonic alkaline phosphatase (SEAP) in a dose-dependent manner [14]. SEAP levels were detected using a colorimetric substrate assay, QUANTI-Blue (Invivogen, San Diego, CA), by measuring an increase in absorbance at OD655.
Culture supernatant from inflammasome-reconstituted HEK293T cells or HEK293T CARD8 KO cells that had been transfected with 3CLpro was added to HEK-Blue IL-1β reporter cells plated in 96-well format in a total volume of 200 μl per well. On the same plate, serial dilutions of recombinant human IL-1β (Invivogen, San Diego, CA) were added to generate a standard curve for each assay. SEAP levels were assayed by taking 20 μl of the supernatant from HEK-Blue IL-1β reporter cells and adding to 180 μl of QUANTI-Blue colorimetric substrate following the manufacturer’s protocol, 24 h later. After incubation at 37°C for 30 to 60 min, absorbance at OD655 was measured on a BioTek Cytation5 plate reader (BioTek Instruments, Winooski, VT), and absolute levels of IL-1β were calculated relative to the standard curve. All assays, beginning with independent transfections or infections, were performed in triplicate.
Immunoblotting and antibodies
Harvested cell pellets were washed with 1× PBS and lysed with 1× NuPAGE LDS sample buffer containing 5% β-mercaptoethanol at 98°C for 10 min. The lysed samples were spun down at 15,000 RPM for 2 min, followed by loading into a 4% to 12% Bis-Tris SDS-PAGE gel (Life Technologies, San Diego, CA) with 1× MOPS buffer (Life Technologies, San Diego, CA) and wet transfer onto a nitrocellulose membrane (Life Technologies, San Diego, CA). Membranes were blocked with PBS-T containing 5% bovine serum albumin (BSA) (Spectrum, New Brunswick, NJ), followed by incubation with primary antibodies for V5 (IL-1β), FLAG (mCherry-fused CARD8 for protease assays), Myc (CARD8-Myc for activation assays), HA (viral protease), or GAPDH. Membranes were rinsed 3 times in PBS-T and then incubated with the appropriate HRP-conjugated secondary antibodies. Membranes were rinsed again 3 times in PBS-T and developed with SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo Fisher Scientific, Carlsbad, CA). The specifications, source, and clone info for antibodies are described in S8 Table.
Supporting information
Acknowledgments
We thank all members of the Daugherty and Mitchell laboratories and Michael Emerman for helpful discussions. We thank Joshua Marceau, Nell Baumgarten, and Julie Overbaugh for providing hCoV-229E resources and expertise.
Abbreviations
- Beta-CoV
betacoronavirus
- CARD
caspase activation and recruitment domain
- CASP1
caspase-1
- COVID-19
Coronavirus Disease 2019
- CVB3
Coxsackievirus B3
- ETI
effector-triggered immunity
- FIIND
function-to-find domain
- GSDMD
Gasdermin D
- HIV-1pro
HIV-1 protease
- HRV
human rhinovirus
- IL
interleukin
- KO
knockout
- MHV
murine hepatitis virus
- ML
maximum likelihood
- MOI
multiplicity of infection
- Mpro
main protease
- SARS-CoV-2
Severe Acute Respiratory Syndrome Coronavirus 2
- SEAP
secreted embryonic alkaline phosphatase
- SNP
single nucleotide polymorphism
- VbP
Val-boroPro
- ViPR
Viral Pathogen Resource
- WT
wild-type
- 3Cpro
3C protease
- 3CLpro
3CL protease
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by National Institutes of Health grant R35 GM133633 (to MDD); Pew Biomedical Scholars Program (to MDD); Hellman Fellows Program (to MDD); Burroughs Wellcome Investigators in the Pathogenesis of Infectious Disease Program (to MDD); National Institutes of Health T32 grant GM007240 (to BVT, APR, CB); Helen Hay Whitney; Postdoctoral Fellowship ( to NSG); National Institutes of Health T32 grant GM007270 (JK); National Institutes of Health T32 grant GM133351 ( to LKC); Ford Foundation Predoctoral Fellowship program (to LKC); National Science Foundation graduate research fellowship 2019284620 (to CB); National Institutes of Health grant DP2 AI154432 (PSM); Mallinckrodt Foundation grant (to PSM); UC Berkeley CEND Catalyst award (to REV); National Institutes of Health grant R37 AI075039 (to REV); Investigator of the Howard Hughes Medical Institute (to REV). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Cui H, Tsuda K, Parker JE. Effector-triggered immunity: from pathogen perception to robust defense. Annu Rev Plant Biol 2015;66:487–511. Epub 2014/12/11. doi: 10.1146/annurev-arplant-050213-040012 . [DOI] [PubMed] [Google Scholar]
- 2.Fischer NL, Naseer N, Shin S, Brodsky IE. Effector-triggered immunity and pathogen sensing in metazoans. Nat Microbiol 2020;5(3):528. Epub 2020/02/12. doi: 10.1038/s41564-020-0682-4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Jones JD, Vance RE, Dangl JL. Intracellular innate immune surveillance devices in plants and animals. Science. 2016;354(6316). Epub 2016/12/10. doi: 10.1126/science.aaf6395 . [DOI] [PubMed] [Google Scholar]
- 4.Mitchell PS, Sandstrom A, Vance RE. The NLRP1 inflammasome: new mechanistic insights and unresolved mysteries. Curr Opin Immunol 2019;60:37–45. Epub 2019/05/24. doi: 10.1016/j.coi.2019.04.015 ; PubMed Central PMCID: PMC6800612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Vance RE, Isberg RR, Portnoy DA. Patterns of pathogenesis: discrimination of pathogenic and nonpathogenic microbes by the innate immune system. Cell Host Microbe 2009;6(1):10–21. Epub 2009/07/21. doi: 10.1016/j.chom.2009.06.007 ; PubMed Central PMCID: PMC2777727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Orzalli MH, Parameswaran P. Effector-triggered immunity in mammalian antiviral defense. Trends Immunol. 2022;43(12):1006–1017. Epub 2022/11/08. doi: 10.1016/j.it.2022.10.004 . [DOI] [PubMed] [Google Scholar]
- 7.Remick BC, Gaidt MM, Vance RE. Effector-Triggered Immunity. Annu Rev Immunol. 2022. Epub 2023/02/08. doi: 10.1146/annurev-immunol-101721-031732 . [DOI] [PubMed] [Google Scholar]
- 8.Broz P, Dixit VM. Inflammasomes: mechanism of assembly, regulation and signalling. Nat Rev Immunol. 2016;16(7):407–420. Epub 2016/06/14. doi: 10.1038/nri.2016.58 . [DOI] [PubMed] [Google Scholar]
- 9.Evavold CL, Kagan JC. Inflammasomes: Threat-Assessment Organelles of the Innate Immune System. Immunity. 2019;51(4):609–624. Epub 2019/09/02. doi: 10.1016/j.immuni.2019.08.005 ; PubMed Central PMCID: PMC6801093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rathinam VA, Fitzgerald KA. Inflammasome Complexes: Emerging Mechanisms and Effector Functions. Cell. 2016;165(4):792–800. Epub 2016/05/08. doi: 10.1016/j.cell.2016.03.046 ; PubMed Central PMCID: PMC5503689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nadkarni R, Chu WC, Lee CQE, Mohamud Y, Yap L, Toh GA, et al. Viral proteases activate the CARD8 inflammasome in the human cardiovascular system. J Exp Med. 2022;219(10). Epub 2022/09/21. doi: 10.1084/jem.20212117 ; PubMed Central PMCID: PMC9499823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Planes R, Pinilla M, Santoni K, Hessel A, Passemar C, Lay K, et al. Human NLRP1 is a sensor of pathogenic coronavirus 3CL proteases in lung epithelial cells. Mol Cell. 2022;82(13):2385–2400 e9. Epub 2022/05/16. doi: 10.1016/j.molcel.2022.04.033 ; PubMed Central PMCID: PMC9108100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Robinson KS, Teo DET, Tan KS, Toh GA, Ong HH, Lim CK, et al. Enteroviral 3C protease activates the human NLRP1 inflammasome in airway epithelia. Science. 2020;370(6521). Epub 2020/10/24. doi: 10.1126/science.aay2002 . [DOI] [PubMed] [Google Scholar]
- 14.Tsu BV, Beierschmitt C, Ryan AP, Agarwal R, Mitchell PS, Daugherty MD. Diverse viral proteases activate the NLRP1 inflammasome. elife 2021;10. Epub 2021/01/08. doi: 10.7554/eLife.60609 ; PubMed Central PMCID: PMC7857732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wang Q, Gao H, Clark KM, Mugisha CS, Davis K, Tang JP, et al. CARD8 is an inflammasome sensor for HIV-1 protease activity. Science. 2021;371(6535). Epub 2021/02/06. doi: 10.1126/science.abe1707 ; PubMed Central PMCID: PMC8029496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Tsu BV, Fay EJ, Nguyen KT, Corley MR, Hosuru B, Dominguez VA, et al. Running With Scissors: Evolutionary Conflicts Between Viral Proteases and the Host Immune System. Front Immunol. 2021;12:769543. Epub 2021/11/19. doi: 10.3389/fimmu.2021.769543 ; PubMed Central PMCID: PMC8591160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chui AJ, Okondo MC, Rao SD, Gai K, Griswold AR, Johnson DC, et al. N-terminal degradation activates the NLRP1B inflammasome. Science. 2019;364(6435):82–85. Epub 2019/03/16. doi: 10.1126/science.aau1208 ; PubMed Central PMCID: PMC6610862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sandstrom A, Mitchell PS, Goers L, Mu EW, Lesser CF, Vance RE. Functional degradation: A mechanism of NLRP1 inflammasome activation by diverse pathogen enzymes. Science. 2019;364(6435). Epub 2019/03/16. doi: 10.1126/science.aau1330 ; PubMed Central PMCID: PMC6532986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chen S, Tian J, Li Z, Kang H, Zhang J, Huang J, et al. Feline Infectious Peritonitis Virus Nsp5 Inhibits Type I Interferon Production by Cleaving NEMO at Multiple Sites. Viruses. 2019;12(1). Epub 2020/01/08. doi: 10.3390/v12010043 ; PubMed Central PMCID: PMC7019732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Moustaqil M, Ollivier E, Chiu HP, Van Tol S, Rudolffi-Soto P, Stevens C, et al. SARS-CoV-2 proteases PLpro and 3CLpro cleave IRF3 and critical modulators of inflammatory pathways (NLRP12 and TAB1): implications for disease presentation across species. Emerg Microbes Infect. 2021;10(1):178–195. Epub 2020/12/30. doi: 10.1080/22221751.2020.1870414 ; PubMed Central PMCID: PMC7850364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Zhu X, Fang L, Wang D, Yang Y, Chen J, Ye X, et al. Porcine deltacoronavirus nsp5 inhibits interferon-beta production through the cleavage of NEMO. Virology. 2017;502:33–38. Epub 2016/12/17. doi: 10.1016/j.virol.2016.12.005 ; PubMed Central PMCID: PMC7111669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zhu X, Wang D, Zhou J, Pan T, Chen J, Yang Y, et al. Porcine Deltacoronavirus nsp5 Antagonizes Type I Interferon Signaling by Cleaving STAT2. J Virol. 2017;91(10). Epub 2017/03/03. doi: 10.1128/JVI.00003-17 ; PubMed Central PMCID: PMC5411617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chuck CP, Chong LT, Chen C, Chow HF, Wan DC, Wong KB. Profiling of substrate specificity of SARS-CoV 3CL. PLoS ONE. 2010;5(10):e13197. Epub 2010/10/16. doi: 10.1371/journal.pone.0013197 ; PubMed Central PMCID: PMC2950840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Chuck CP, Chow HF, Wan DC, Wong KB. Profiling of substrate specificities of 3C-like proteases from group 1, 2a, 2b, and 3 coronaviruses. PLoS ONE. 2011;6(11):e27228. Epub 2011/11/11. doi: 10.1371/journal.pone.0027228 ; PubMed Central PMCID: PMC3206940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fang S, Shen H, Wang J, Tay FP, Liu DX. Functional and genetic studies of the substrate specificity of coronavirus infectious bronchitis virus 3C-like proteinase. J Virol. 2010;84(14):7325–7336. Epub 2010/05/07. doi: 10.1128/JVI.02490-09 ; PubMed Central PMCID: PMC2898227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Goetz DH, Choe Y, Hansell E, Chen YT, McDowell M, Jonsson CB, et al. Substrate specificity profiling and identification of a new class of inhibitor for the major protease of the SARS coronavirus. Biochemistry. 2007;46(30):8744–8752. Epub 2007/07/04. doi: 10.1021/bi0621415 . [DOI] [PubMed] [Google Scholar]
- 27.Chavarria-Smith J, Mitchell PS, Ho AM, Daugherty MD, Vance RE. Functional and Evolutionary Analyses Identify Proteolysis as a General Mechanism for NLRP1 Inflammasome Activation. PLoS Pathog. 2016;12(12):e1006052. Epub 2016/12/08. doi: 10.1371/journal.ppat.1006052 ; PubMed Central PMCID: PMC5142783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Broz P, von Moltke J, Jones JW, Vance RE, Monack DM. Differential requirement for Caspase-1 autoproteolysis in pathogen-induced cell death and cytokine processing. Cell Host Microbe. 2010;8(6):471–483. Epub 2010/12/15. doi: 10.1016/j.chom.2010.11.007 ; PubMed Central PMCID: PMC3016200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Guey B, Bodnar M, Manie SN, Tardivel A, Petrilli V. Caspase-1 autoproteolysis is differentially required for NLRP1b and NLRP3 inflammasome function. Proc Natl Acad Sci U S A. 2014;111(48):17254–17259. Epub 2014/11/19. doi: 10.1073/pnas.1415756111 ; PubMed Central PMCID: PMC4260594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Ball DP, Taabazuing CY, Griswold AR, Orth EL, Rao SD, Kotliar IB, et al. Caspase-1 interdomain linker cleavage is required for pyroptosis. Life Sci Alliance. 2020;3(3). Epub 2020/02/14. doi: 10.26508/lsa.202000664 ; PubMed Central PMCID: PMC7025033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.D’Osualdo A, Weichenberger CX, Wagner RN, Godzik A, Wooley J, Reed JC. CARD8 and NLRP1 undergo autoproteolytic processing through a ZU5-like domain. PLoS ONE. 2011;6(11):e27396. Epub 2011/11/17. doi: 10.1371/journal.pone.0027396 ; PubMed Central PMCID: PMC3210808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Johnson DC, Okondo MC, Orth EL, Rao SD, Huang HC, Ball DP, et al. DPP8/9 inhibitors activate the CARD8 inflammasome in resting lymphocytes. Cell Death Dis. 2020;11(8):628. Epub 2020/08/14. doi: 10.1038/s41419-020-02865-4 ; PubMed Central PMCID: PMC7428001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Roe MK, Junod NA, Young AR, Beachboard DC, Stobart CC. Targeting novel structural and functional features of coronavirus protease nsp5 (3CL(pro), M(pro)) in the age of COVID-19. J Gen Virol. 2021;102(3). Epub 2021/01/29. doi: 10.1099/jgv.0.001558 ; PubMed Central PMCID: PMC8515871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Linder A, Bauernfried S, Cheng Y, Albanese M, Jung C, Keppler OT, et al. CARD8 inflammasome activation triggers pyroptosis in human T cells. EMBO J. 2020;39(19):e105071. Epub 2020/08/26. doi: 10.15252/embj.2020105071 ; PubMed Central PMCID: PMC7527815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rodrigues TS, de Sa KSG, Ishimoto AY, Becerra A, Oliveira S, Almeida L, et al. Inflammasomes are activated in response to SARS-CoV-2 infection and are associated with COVID-19 severity in patients. J Exp Med. 2021;218(3). Epub 2020/11/25. doi: 10.1084/jem.20201707 ; PubMed Central PMCID: PMC7684031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sefik E, Qu R, Junqueira C, Kaffe E, Mirza H, Zhao J, et al. Inflammasome activation in infected macrophages drives COVID-19 pathology. Nature. 2022;606(7914):585–593. Epub 2022/04/29. doi: 10.1038/s41586-022-04802-1 ; PubMed Central PMCID: PMC9288243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Junqueira C, Crespo A, Ranjbar S, de Lacerda LB, Lewandrowski M, Ingber J, et al. FcgammaR-mediated SARS-CoV-2 infection of monocytes activates inflammation. Nature. 2022;606(7914):576–584. Epub 2022/04/07. doi: 10.1038/s41586-022-04702-4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Daugherty MD, Malik HS. Rules of engagement: molecular insights from host-virus arms races. Annu Rev Genet. 2012;46:677–700. Epub 2012/11/14. doi: 10.1146/annurev-genet-110711-155522 . [DOI] [PubMed] [Google Scholar]
- 39.Rothenburg S, Brennan G. Species-Specific Host-Virus Interactions: Implications for Viral Host Range and Virulence. Trends Microbiol. 2020;28(1):46–56. Epub 2019/10/11. doi: 10.1016/j.tim.2019.08.007 ; PubMed Central PMCID: PMC6925338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Sironi M, Cagliani R, Forni D, Clerici M. Evolutionary insights into host-pathogen interactions from mammalian sequence data. Nat Rev Genet. 2015;16(4):224–236. Epub 2015/03/19. doi: 10.1038/nrg3905 ; PubMed Central PMCID: PMC7096838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Letko M, Seifert SN, Olival KJ, Plowright RK, Munster VJ. Bat-borne virus diversity, spillover and emergence. Nat Rev Microbiol. 2020;18(8):461–471. Epub 2020/06/13. doi: 10.1038/s41579-020-0394-z ; PubMed Central PMCID: PMC7289071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Menachery VD, Yount BL Jr., Debbink K, Agnihothram S, Gralinski LE, Plante JA, et al. A SARS-like cluster of circulating bat coronaviruses shows potential for human emergence. Nat Med. 2015;21(12):1508–1513. Epub 2015/11/10. doi: 10.1038/nm.3985 ; PubMed Central PMCID: PMC4797993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.da Fonseca RR, Kosiol C, Vinar T, Siepel A, Nielsen R. Positive selection on apoptosis related genes. FEBS Lett. 2010;584(3):469–476. Epub 2009/12/23. doi: 10.1016/j.febslet.2009.12.022 . [DOI] [PubMed] [Google Scholar]
- 44.Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alfoldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581(7809):434–443. Epub 2020/05/29. doi: 10.1038/s41586-020-2308-7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Yamamoto M, Torigoe T, Kamiguchi K, Hirohashi Y, Nakanishi K, Nabeta C, et al. A novel isoform of TUCAN is overexpressed in human cancer tissues and suppresses both caspase-8- and caspase-9-mediated apoptosis. Cancer Res. 2005;65(19):8706–8714. Epub 2005/10/06. doi: 10.1158/0008-5472.CAN-04-4649 . [DOI] [PubMed] [Google Scholar]
- 46.Johnson DC, Taabazuing CY, Okondo MC, Chui AJ, Rao SD, Brown FC, et al. DPP8/DPP9 inhibitor-induced pyroptosis for treatment of acute myeloid leukemia. Nat Med. 2018;24(8):1151–1156. Epub 2018/07/02. doi: 10.1038/s41591-018-0082-y ; PubMed Central PMCID: PMC6082709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bagnall RD, Roberts RG, Mirza MM, Torigoe T, Prescott NJ, Mathew CG. Novel isoforms of the CARD8 (TUCAN) gene evade a nonsense mutation. Eur J Hum Genet. 2008;16(5):619–625. Epub 2008/01/24. doi: 10.1038/sj.ejhg.5201996 . [DOI] [PubMed] [Google Scholar]
- 48.Bouchier-Hayes L, Conroy H, Egan H, Adrain C, Creagh EM, MacFarlane M, et al. CARDINAL, a novel caspase recruitment domain protein, is an inhibitor of multiple NF-kappa B activation pathways. J Biol Chem. 2001;276(47):44069–44077. Epub 2001/09/12. doi: 10.1074/jbc.M107373200 . [DOI] [PubMed] [Google Scholar]
- 49.Hui KPY, Cheung MC, Perera R, Ng KC, Bui CHT, Ho JCW, et al. Tropism, replication competence, and innate immune responses of the coronavirus SARS-CoV-2 in human respiratory tract and conjunctiva: an analysis in ex-vivo and in-vitro cultures. Lancet Respir Med. 2020;8(7):687–695. Epub 2020/05/11. doi: 10.1016/S2213-2600(20)30193-4 ; PubMed Central PMCID: PMC7252187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Vora SM, Lieberman J, Wu H. Inflammasome activation at the crux of severe COVID-19. Nat Rev Immunol. 2021;21(11):694–703. Epub 2021/08/11. doi: 10.1038/s41577-021-00588-x ; PubMed Central PMCID: PMC8351223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yap JKY, Moriyama M, Iwasaki A. Inflammasomes and Pyroptosis as Therapeutic Targets for COVID-19. J Immunol. 2020;205(2):307–312. Epub 2020/06/05. doi: 10.4049/jimmunol.2000513 ; PubMed Central PMCID: PMC7343621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Ahn M, Anderson DE, Zhang Q, Tan CW, Lim BL, Luko K, et al. Dampened NLRP3-mediated inflammation in bats and implications for a special viral reservoir host. Nat Microbiol. 2019;4(5):789–799. Epub 2019/02/26. doi: 10.1038/s41564-019-0371-3 ; PubMed Central PMCID: PMC7096966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Pickett BE, Greer DS, Zhang Y, Stewart L, Zhou L, Sun G, et al. Virus pathogen database and analysis resource (ViPR): a comprehensive bioinformatics database and analysis resource for the coronavirus research community. Viruses. 2012;4(11):3209–3226. Epub 2012/12/04. doi: 10.3390/v4113209 ; PubMed Central PMCID: PMC3509690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–780. Epub 2013/01/19. doi: 10.1093/molbev/mst010 ; PubMed Central PMCID: PMC3603318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28(12):1647–1649. Epub 2012/05/01. doi: 10.1093/bioinformatics/bts199 ; PubMed Central PMCID: PMC3371832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, et al. BLAST+: architecture and applications. BMC Bioinformatics. 2009;10:421. Epub 2009/12/17. doi: 10.1186/1471-2105-10-421 ; PubMed Central PMCID: PMC2803857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Yang Z. PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007;24(8):1586–1591. Epub 2007/05/08. doi: 10.1093/molbev/msm088 . [DOI] [PubMed] [Google Scholar]
- 58.Murrell B, Weaver S, Smith MD, Wertheim JO, Murrell S, Aylward A, et al. Gene-wide identification of episodic selection. Mol Biol Evol. 2015;32(5):1365–1371. Epub 2015/02/24. doi: 10.1093/molbev/msv035 ; PubMed Central PMCID: PMC4408417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Weaver S, Shank SD, Spielman SJ, Li M, Muse SV, Kosakovsky Pond SL. Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes. Mol Biol Evol. 2018;35(3):773–777. Epub 2018/01/05. doi: 10.1093/molbev/msx335 ; PubMed Central PMCID: PMC5850112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kosakovsky Pond SL, Frost SD. Not so different after all: a comparison of methods for detecting amino acid sites under selection. Mol Biol Evol. 2005;22(5):1208–1222. Epub 2005/02/11. doi: 10.1093/molbev/msi105 . [DOI] [PubMed] [Google Scholar]
- 61.Murrell B, Moola S, Mabona A, Weighill T, Sheward D, Kosakovsky Pond SL, et al. FUBAR: a fast, unconstrained bayesian approximation for inferring selection. Mol Biol Evol. 2013;30(5):1196–1205. Epub 2013/02/20. doi: 10.1093/molbev/mst030 ; PubMed Central PMCID: PMC3670733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Sanjana NE, Shalem O, Zhang F. Improved vectors and genome-wide libraries for CRISPR screening. Nat Methods. 2014;11(8):783–784. Epub 2014/07/31. doi: 10.1038/nmeth.3047 ; PubMed Central PMCID: PMC4486245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Schmidt T, Schmid-Burgk JL, Hornung V. Synthesis of an arrayed sgRNA library targeting the human genome. Sci Rep. 2015;5:14987. Epub 2015/10/09. doi: 10.1038/srep14987 ; PubMed Central PMCID: PMC4597219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Gaidt MM, Morrow A, Fairgrieve MR, Karr JP, Yosef N, Vance RE. Self-guarding of MORC3 enables virulence factor-triggered immunity. Nature. 2021;600(7887):138–142. Epub 2021/11/12. doi: 10.1038/s41586-021-04054-5 ; PubMed Central PMCID: PMC9045311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Labun K, Montague TG, Krause M, Torres Cleuren YN, Tjeldnes H, Valen E. CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 2019;47(W1):W171–W174. Epub 2019/05/21. doi: 10.1093/nar/gkz365 ; PubMed Central PMCID: PMC6602426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Schmid-Burgk JL, Schmidt T, Gaidt MM, Pelka K, Latz E, Ebert TS, et al. OutKnocker: a web tool for rapid and simple genotyping of designer nuclease edited cell lines. Genome Res. 2014;24(10):1719–1723. Epub 2014/09/05. doi: 10.1101/gr.176701.114 ; PubMed Central PMCID: PMC4199374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Schmidt T, Schmid-Burgk JL, Ebert TS, Gaidt MM, Hornung V. Designer Nuclease-Mediated Generation of Knockout THP1 Cells. Methods Mol Biol. 2016;1338:261–272. Epub 2015/10/08. doi: 10.1007/978-1-4939-2932-0_19 . [DOI] [PubMed] [Google Scholar]
- 68.Hoffmann M, Kleine-Weber H, Schroeder S, Kruger N, Herrler T, Erichsen S, et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell. 2020;181(2):271–280 e8. Epub 2020/03/07. doi: 10.1016/j.cell.2020.02.052 ; PubMed Central PMCID: PMC7102627. [DOI] [PMC free article] [PubMed] [Google Scholar]
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