Biology subjects

Ito, J.

Publications and source records attributed to Ito, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Evolution of BA.2.86 to JN.1 reveals functional changes in non-structural viral proteins are required for fitness of SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the coronavirus disease 2019 (COVID-19), is still circulating among humans, leading to the continuous evolution. SARS-CoV-2 Omicron JN.1 evolved from a distinct SARS-CoV-2 lineage, BA.2.86, spread rapidly worldwide. It is unclear why BA.2.86 did not become dominant and was quickly replaced by JN.1, which possesses one amino acid substitution in the spike protein (S:L455S) and two in the non-spike proteins NSP6 and ORF7b (NSP6:R252K and ORF7b:F19L) compared to BA.2.86. Here, we utilized recombinant viruses to elucidate the impact of these mutations on the virological characteristics of JN.1. We found that the mutation in the spike attenuated viral replication, but the non-spike mutations enhanced replication, suggesting the mutations in the non-spike proteins compensate for the one in the spike to improve viral fitness, as the mutations in the spike contribute to further immune evasion. Our findings suggest that functional changes in both the spike and non-spike proteins are necessary in the evolution of SARS-CoV-2 to enable evasion of adaptive immunity within the human population while sustaining replication. IMPORTANCEBecause the spike protein is strongly associated with certain virological properties of SARS-CoV-2, such as immune evasion and infectivity, most previous studies on SARS-CoV-2 variants have focused on spike protein mutations. However, the non-spike proteins also contribute to infectivity, as observed throughout the evolution of Omicron subvariants. In this study, we demonstrate a "trade-off" strategy in SARS-CoV-2 Omicron JN.1 in which the reduced infectivity caused by spike mutation is compensated by non-spike mutations. Our results provide insight into the evolutionary scenario of the emerging virus in the human population.

microbiology↗

bioRxiv2024

Virological characteristics of the SARS-CoV-2 XEC variant

The SARS-CoV-2 JN.1 variant (BA.2.86.1.1), arising from BA.2.86.1 with spike protein (S) substitution S:L455S, outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 (JN.1.11.1.2) and KP.3 (JN.1.11.1.3), which acquired additional S substitutions (e.g., S:R346T, S:F456L, and S:Q493E), have emerged concurrently. As of October 2024, KP.3.1.1 (JN.1.11.1.3.1.1), which acquired S:31del, outcompeted other JN.1 subvariants including KP.2 and KP.3 and is the most predominant SARS-CoV-2 variant in the world. Thereafter, XEC, a recombinant lineage of KS.1.1 (JN.13.1.1.1) and KP.3.3 (JN.1.11.1.3.3), was first identified in Germany on August 7, 2024. XEC acquired two S substitutions, S:T22N and S:F59S, compared with KP.3 through recombination, with a breakpoint at genomic position 21,738-22,599. We estimated the relative effective reproduction number (Re) of XEC using a Bayesian multinomial logistic model based on genome surveillance data from the USA, the United Kingdom, France, Canada, and Germany, where this variant has spread as of August 2024. In the USA, the Re of XEC is 1.13-fold higher than that of KP.3.1.1. Additionally, the other countries under investigation herein showed higher Re for XEC. These results suggest that XEC has the potential to outcompete the other major lineage including KP.3.1.1. We then assessed the virological properties of XEC using pseudoviruses. Pseudovirus infection assay showed that the infectivity of KP.3.1.1 and XEC was significantly higher than that of KP.3. Although S:T22N did not affect the infectivity of the pseudovirus based on KP.3, S:F59S significantly increased it. Neutralization assay was performed using three types of human sera: convalescent sera after breakthrough infection (BTI) with XBB.1.5 or KP.3.3, and convalescent sera after JN.1 infection. In all serum groups, XEC as well as KP.3.1.1 showed immune resistance when compared to KP.3 with statistically significant differences. In the cases of XBB.1.5 BTI sera and JN.1 infection sera, the 50% neutralization titers (NT50s) of XEC and KP.3.1.1 were comparable. However, we revealed that the NT50 of XEC was significantly (1.3-fold) lower than that of KP.3.1.1. Moreover, both S:T22N and S:F59S significantly (1.5-fold and 1.6-fold) increased the resistance to KP.3.3 BTI sera. Here we showed that XEC exhibited higher pseudovirus infectivity and higher immune evasion than KP.3. Particularly, XEC exhibited more robust immune resistance to KP.3.3 BTI sera than KP.3.1.1. Our data suggest that the higher Re of XEC than KP.3.1.1 is attributed to this property and XEC will be a predominant SARS-CoV-2 variant in the world in the near future.

microbiology↗

bioRxiv2024

RO8191, a new compound for initiating embryoimplantation in mice

During early pregnancy in mice, leukemia inhibitory factor (LIF) regulates embryo implantation by activating the JAK/STAT3 signaling pathway. The STAT3 pathway has been recognized to play a critical role in embryo implantation. However, it is not clear whether STAT3 activation itself can cause induction of embryo implantation. In this study, the effects of RO8191, a potential STAT3 activator, on embryo implantation were investigated through a series of studies with different mouse models. We found that the injection of RO8191 can induce embryo implantation by activating the STAT3 pathway in delayed implantation mice. Furthermore, RO8191 can initiate decidualization, which is essential for embryo implantation, in uterine epithelial-specific Stat3, Gp130, or Lifr conditional knockout (cKO) mice, which shows infertility due to embryo implantation failure. Histomorphological observations revealed that successful embryo implantation and embryonic development was seen in Lifr cKO mice. Increased epithelial detachment and vascularization were observed in Stat3 cKO mice, and excessive inflammatory response and embryo death were observed in Gp130 cKO mice. These results suggest that STAT3, Gp130 and LIFR each play a distinct role in embryo implantation and development. Although the specific mechanisms of RO8191 are not fully understood, the present study will provide insights to support the application of RO8191 in treating recuurent implantation failure.

developmental biology↗

bioRxiv2024

The oocyte zinc transporter Slc39a10/Zip10 is a regulator of zinc sparks during fertilization in mice.

In all vertebrates studied to date, a rise(s) in intracellular calcium is indispensable for successful fertilization and further embryonic development. Recent studies demonstrated that zinc is ejected to the extracellular milieu, the zinc spark, and follows the first few calcium rises of fertilization. However, the role of the zinc sparks in fertilization and development, and the supporting influx mechanism(s) are unknown. In this study, we focused on zinc transporters Zip10/Slc39a10 which was expressed in mouse oocytes through follicular development, and investigated the oocyte-specific deficient mice for Zip10 (Zip10d/d: Zip10flox/flox Gdf9Cre/+). Zip10 mRNA or ZIP10 protein was expressed throughout folliculogenesis in the oocyte or plasma membrane, respectively. The number of ovulated oocytes was examined in Zip10d/d mice, and no change from the number of oocytes was observed. Zip10d/d oocytes decreased zinc level in the oocytes, but did not affect maturation and metaphase II spindles formation. Fertilization-induced calcium oscillations were present in Zip10d/d oocytes, but zinc sparks were not observed. Despite other events of egg activation proceeding normally in Zip10d/doocytes, embryo development into 4-cells and beyond was compromised. We show here for the first time that the zinc transporter ZIP10 contributes to zinc homeostasis in oocytes and embryos, highlighting the role of labile zinc ions in early development. Submission informationThe zinc transporter, Slc39a10/Zip10, is required for the zinc sparks of fertilization in mice.

developmental biology↗

bioRxiv2024

Virological characteristics of the SARS-CoV-2 KP.3.1.1 variant

The SARS-CoV-2 JN.1 variant (BA.2.86.1.1), arising from BA.2.86.1 with spike protein (S) substitution S:L455S, outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 (JN.1.11.1.2) and KP.3 (JN.1.11.1.3), which acquired additional S substitutions e.g., S:R346T, S:F456L, and S:Q493E, have emerged concurrently. Thereafter, JN.1 subvariants, such as LB.1 (JN.1.9.2.1), KP.2.3 (JN.1.11.1.2.3), and KP.3.1.1 (JN.1.11.1.3.1.1), which convergently acquired a deletion of Serine at the 31st position in S (S:S31del) in addition to the above substitutions, have emerged and spread as of June 2024. We recently reported the virological features of JN.1 subvariants including KP.2, KP.3, LB.1, and KP.2.3.2,3 Here, we investigated the virological properties of KP.3.1.1. First, we estimated the relative effective reproduction number (Re) of KP.3.1.1 using a Bayesian multinomial logistic model4 based on genome surveillance data from Spain, the USA, France, Canada, and the UK, where this variant has spread as of June 2024. In Spain, the Re of KP.3.1.1 is over 1.2-fold higher than that of JN.1 and even higher than those of KP.2, KP.3, LB.1, and KP.2.3. Additionally, the other countries under investigation herein show higher Re for KP.3.1.1. However, it must be noted there is the possibility of overestimation in these countries due to more limited KP.3.1.1 sequence numbers. These results suggest that KP.3.1.1 will spread worldwide along with other JN.1 sublineages. We then assessed the virological properties of KP.3.1.1 using pseudoviruses. The pseudovirus of KP.3.1.1 had significantly higher infectivity than that of KP.3. Neutralization of KP.3.1.1 was tested using i) convalescent sera after breakthrough infection (BTI) with XBB.1.5 or EG.5, ii) convalescent sera after the infection with HK.3 or JN.1, and iii) sera after monovalent XBB.1.5 vaccination. The 50% neutralization titer (NT50) against KP.3.1.1 was significantly lower than KP.3 (1.4-1.6-fold) in all four groups of convalescent sera tested. KP.3.1.1 also showed a 1.3-fold lower NT50 against XBB.1.5 vaccine sera than KP.3. Moreover, KP.3.1.1 showed stronger resistance with a 1.3-fold lower NT50 with statistical significances to the convalescent sera infected with EG.5 and HK.3 than KP.2.3. Altogether, KP.3.1.1 exhibited a higher Re, higher pseudovirus infectivity, and higher neutralization evasion than KP.3. These results align with our recent report that the JN.1 subvariants with S:S31del (e.g., KP.2.3 and LB.1) exhibited enhanced Re and immune evasion compared to the other JN.1 subvariants without S:S31del (e.g., JN.1, KP.2, and KP.3), highlighting the evolutionary significance of S:S31del in the JN.1 lineages.

microbiology↗

bioRxiv2024

Virological characteristics of the SARS-CoV-2 KP.3, LB.1 and KP.2.3 variants

The SARS-CoV-2 JN.1 variant, arising from BA.2.86.1 with a substitution in the spike (S) protein, S:L455S, exhibited increased fitness and outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 and KP.3, which convergently acquired S protein substitutions such as S:R346T, S:F456L, and S:Q493E, have emerged concurrently. Furthermore, JN.1 subvariants such as LB.1 and KP.2.3, which convergently acquired S:S31del in addition to the above substitutions, have emerged and spread as of June 2024. Here we investigated the virological properties of KP.3, LB.1 and KP.2.3. We estimated the relative effective reproduction number (Re) of KP.3, LB.1, and KP.2.3 using a Bayesian multinomial logistic model based on the genome surveillance data from Canada, the UK, and the USA, where these variants have spread from March to April 2024. The Re of KP.3 is more than 1.2-fold higher than that of JN.1 and higher than or comparable to that of KP.2 in these countries. Importantly, the Re values of LB.1 and KP.2.3 are even higher than those of KP.2 and KP.3. These results suggest that the three variants we investigated herein, particularly LB.1, and KP.2.3, will become major circulating variants worldwide in addition to KP.2 and KP.3. The pseudovirus infectivity of KP.2 and KP.3 was significantly lower than that of JN.1. On the other hand, the pseudovirus infectivity of LB.1 and KP.2.3 was comparable to that of JN.1. Neutralization assay was conducted by using four types of breakthrough infection (BTI) sera with XBB.1.5, EG.5, HK.3 and JN.1 infections as well as monovalent XBB.1.5 vaccine sera. In all four groups of BTI sera tested, the 50% neutralization titers (NT50) against LB.1 and KP.2.3 were significantly lower than those against JN.1 (2.2-3.3-fold and 2.0-2.9-fold) and even lower than those against KP.2 (1.6-1.9-fold and 1.4-1.7 fold). Although KP.3 exhibited neutralization resistance against all BTI sera tested than JN.1 (1.6-2.2-fold) with statistical significance, there were no significant differences between KP.3 and KP.2. In the case of infection-naive XBB.1.5 vaccine sera, the NT50 values of JN.1 subvariants were very low. In the case of XBB.1.5 vaccine sera after natural XBB infection, the NT50 values against KP.3, LB.1 and KP.2.3 were significantly lower than those of JN.1 (2.1-2.8-fold) and even lower than KP.2 after infection (1.4-2.0-fold). Overall, our results suggest that the S substitutions convergently acquired in the JN.1 subvariants contribute to immune evasion, and therefore, increase their Re when compared to parental JN.1. More importantly, LB.1 and KP.2.3 exhibited higher pseudovirus infectivity and more robust immune resistance than KP.2. These data suggest that S:S31del is critical to exhibit increased infectivity, increased immune evasion, and therefore, potentially contributes to increased Re.

microbiology↗

bioRxiv2024

PRDX6 dictates ferroptosis sensitivity by directing cellular selenium mobilization

Selenium-dependent glutathione peroxidase 4 (GPX4) is the guardian of ferroptosis and prevents unrestrained (phospho)lipid peroxidation by directly reducing phospholipid hydroperoxides (PLOOH) to their corresponding alcohols. However, it remains unclear whether other phospholipid peroxidases can also contribute to ferroptosis prevention, albeit to a varying degree. Here we show that cells lacking GPX4 still exhibit substantial PLOOH reduction capacity, arguing for the presence of alternative PLOOH peroxidases. By scrutinizing potential candidates, we showed that while overexpression of peroxiredoxin 6 (PRDX6), a thiol-specific antioxidant enzyme with reported PLOOH-reducing activity, failed to prevent ferroptosis, its genetic loss markedly sensitizes cancer cells to ferroptosis. Mechanistically, we uncover that PRDX6 facilitates intracellular selenium handling, which is crucial for selenium incorporation into selenoproteins, including GPX4. Consequently, PRDX6 modulates GPX4 expression, thereby dictating the sensitivity of cells to undergo ferroptosis. Our study highlights PRDX6 as a critical factor in ferroptosis prevention by directing cellular selenium mobilization.

cell biology↗

bioRxiv2024

Landscape of Evolutionary Arms Races between Transposable Elements and KRAB-ZFP Family

Transposable elements (TEs) are mobile parasitic sequences that have expanded within the host genome. It has been hypothesized that host organisms have expanded the Kruppel-associated box-containing zinc finger proteins (KRAB-ZFPs), which epigenetically suppress TEs, to counteract disorderly TE transpositions. This process is referred to as the evolutionary arms race. However, the extent to which this evolutionary arms race occurred across various TE families remains unclear. In the present study, we systematically explored the evolutionary arms race between TE families and KRAB-ZFPs using public ChIP-seq data. We discovered and characterized new instances of evolutionary arms races with KRAB-ZFPs in endogenous retroviruses. Furthermore, we found that the regulatory landscape shaped by this arms race contributed to the gene regulatory network. In summary, our results provide insight into the impact of the evolutionary arms race on TE families, the KRAB-ZFP family, and host gene regulatory networks.

evolutionary biology↗

bioRxiv2024

Virological characteristics of the SARS-CoV-2 KP.2 variant

The JN.1 variant (BA.2.86.1.1), arising from BA.2.86(.1) with the S:L455S substitution, exhibited increased fitness and outcompeted the previous dominant XBB lineage by the biggening of 2024. JN.1 subsequently diversified, leading to the emergence of descendants with spike (S) protein substitutions such as S:R346T and S:F456L. Particularly, the KP.2 (JN.1.11.1.2) variant, a descendant of JN.1 bearing both S:R346T and S:F456L, is rapidly spreading in multiple regions as of April 2024. Here, we investigated the virological properties of KP.2. KP.2 has three substitutions in the S protein including the two above and additional one substitution in non-S protein compared with JN.1. We estimated the relative effective reproduction number (Re) of KP.2 based on the genome surveillance data from the USA, United Kingdom, and Canada where >30 sequences of KP.2 has been reported, using a Bayesian multinomial logistic model. The Re of KP.2 is 1.22-, 1.32-, and 1.26-times higher than that of JN.1 in USA, United Kingdom, and Canada, respectively. These results suggest that KP.2 has higher viral fitness and potentially becomes the predominant lineage worldwide. Indeed, as of the beginning of April 2024, the estimated variant frequency of KP.2 has already reached 20% in United Kingdom. The pseudovirus assay showed that the infectivity of KP.2 is significantly (10.5-fold) lower than that of JN.1. We then performed a neutralization assay using monovalent XBB.1.5 vaccine sera and breakthrough infection (BTI) sera with XBB.1.5, EG.5, HK.3 and JN.1 infections. In all cases, the 50% neutralization titer (NT50) against KP.2 was significantly lower than that against JN.1. Particularly, KP.2 shows the most significant resistance to the sera of monovalent XBB.1.5 vaccinee without infection (3.1-fold) as well as those who with infection (1.8-fold). Altogether, these results suggest that the increased immune resistance ability of KP.2 partially contributes to the higher Re more than previous variants including JN.1.

microbiology↗

bioRxiv2024

A Protein Language Model for Exploring Viral Fitness Landscapes

Successively emerging SARS-CoV-2 variants lead to repeated epidemic surges through escalated spreading potential (i.e., fitness). Modeling genotype-fitness relationship enables us to pinpoint the mutations boosting viral fitness and flag high-risk variants immediately after their detection. Here, we introduce CoVFit, a protein language model able to predict the fitness of variants based solely on their spike protein sequences. CoVFit was trained with genotype-fitness data derived from viral genome surveillance and functional mutation data related to immune evasion. When limited to only data available before the emergence of XBB, CoVFit successfully predicted the higher fitness of the XBB lineage. Fully-trained CoVFit identified 549 fitness elevation events throughout SARS-CoV-2 evolution until late 2023. Furthermore, a CoVFit-based simulation was able to predict the higher fitness of JN.1 subvariants before their detection. Our study provides both insight into the SARS-CoV-2 fitness landscape and a novel tool potentially transforming viral genome surveillance.

microbiology↗

bioRxiv2024

Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings

Contemporary electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of those artifacts on the data quality has never been reported. Here we present, based on examination of electrophysiology recordings from multiple laboratories, that multi-electrode recordings of spiking activity commonly contain extremely precise (at the data sampling resolution) spike coincidences far above the chance level. We derive, through modeling of the electric cross-talk, a systematic relation between the amount of such hyper-synchronous events (HSEs) in channel pairs and the correlation between the raw signals of those channels in the multi-unit activity frequency range (500-7500 Hz). We show that whitening the band-pass filtered raw signals removes the above chance HSEs; strongly suggesting they originate from linear mixing of signals. Whitening should therefore be performed prior to spike sorting and any further analysis of precise spike correlation, otherwise analysis results may be considerably affected. Significance StatementArtifacts are ubiquitous in electrophysiological recordings. To mitigate their impact, these artifacts need to be detected and they should be removed from the data without impacting the quality of the data. This work presents measures to identify and quantify the amount of artifacts within a multichannel recording by evaluating the occurrence of hyper-synchronous events i.e., spikes that are synchronous on a sub-millisecond time scale, and further introduces zero-phase component analysis (ZCA) as a method to remove these artifacts from the data. Thus, we recommend to use ZCA as a general preprocessing for electrophysiological recordings.

neuroscience↗

bioRxiv2023

Virological characteristics of the SARS-CoV-2 JN.1 variant

The SARS-CoV-2 BA.2.86 lineage, first identified in August 2023, is phylogenetically distinct from the currently circulating SARS-CoV-2 Omicron XBB lineages, including EG.5.1 and HK.3. Comparing to XBB and BA.2, BA.2.86 carries more than 30 mutations in the spike (S) protein, indicating a high potential for immune evasion. BA.2.86 has evolved and its descendant, JN.1 (BA.2.86.1.1), emerged in late 2023. JN.1 harbors S:L455S and three mutations in non-S proteins. S:L455S is a hallmark mutation of JN.1: we have recently shown that HK.3 and other "FLip" variants carry S:L455F, which contributes to increased transmissibility and immune escape ability compared to the parental EG.5.1 variant. Here, we investigated the virological properties of JN.1.

microbiology↗

bioRxiv2023

Virological characteristics of the SARS-CoV-2 Omicron HK.3 variant harboring the "FLip" substitution

In November 2023, SARS-CoV-2 XBB descendants, including EG.5.1 (XBB.1.9.2.5.1), the currently predominant lineage, are circulating worldwide according to Nextstrain. EG.5.1 has a characteristic amino acid substitution in the spike protein (S), S:F456L, which contributes to its escape from humoral immunity. EG.5.1 has further evolved, and its descendant lineage harboring S:L455F (i.e., EG.5.1+S:L455F) emerged and was named HK.3 (XBB.1.9.2.5.1.1.3). HK.3 was initially discovered in East Asia and is rapidly spreading worldwide. Notably, the XBB subvariants bearing both S:L455F and S:F456L substitutions, including HK.3, are called the "FLip" variants. These FLip variants, such as JG.3 (XBB.1.9.2.5.1.3.3), JF.1 (XBB.1.16.6.1) and GK.3 (XBB.1.5.70.3), have emerged convergently, suggesting that the acquisition of these two substitutions confers a growth advantage to XBB in the human population. Here, we investigated the virological properties of HK.3 as a representative of the FLip variants.

microbiology↗

bioRxiv2023

Virological characteristics of the SARS-CoV-2 BA.2.86 variant

In late 2023, a lineage of SARS-CoV-2 emerged and was named the BA.2.86 variant. BA.2.86 is phylogenetically distinct from other Omicron sublineages identified so far, displaying an accumulation of over 30 amino acid mutations in its spike protein. Here, we performed multiscale investigations to reveal the virological characteristics of the BA.2.86 variant. Our epidemic dynamics modeling suggested that the relative reproduction number of BA.2.86 is significantly higher than that of EG.5.1. Experimental studies showed that four clinically-available antivirals were effective against BA.2.86. Although the fusogenicity of BA.2.86 spike is similar to that of the parental BA.2 spike, the intrinsic pathogenicity of BA.2.86 in hamsters was significantly lower than that of BA.2. Since the growth kinetics of BA.2.86 is significantly lower than that of BA.2 in both in vitro cell cultures and in vivo, it is suggested that the attenuated pathogenicity of BA.2.86 is due to its decreased replication capacity.

microbiology↗

bioRxiv2023

Virological characteristics of the SARS-CoV-2 Omicron EG.5.1 variant

In middle-late 2023, a sublineage of SARS-CoV-2 Omicron XBB, EG.5.1 (a progeny of XBB.1.9.2), is spreading rapidly around the world. Here, we performed multiscale investigations to reveal virological features of newly emerging EG.5.1 variant. Our phylogenetic-epidemic dynamics modeling suggested that two hallmark substitutions of EG.5.1, S:F456L and ORF9b:I5T, are critical to the increased viral fitness. Experimental investigations addressing the growth kinetics, sensitivity to clinically available antivirals, fusogenicity and pathogenicity of EG.5.1 suggested that the virological features of EG.5.1 is comparable to that of XBB.1.5. However, the cryo-electron microscopy reveals the structural difference between the spike proteins of EG.5.1 and XBB.1.5. We further assessed the impact of ORF9b:I5T on viral features, but it was almost negligible at least in our experimental setup. Our multiscale investigations provide the knowledge for understanding of the evolution trait of newly emerging pathogenic viruses in the human population.

microbiology↗

bioRxiv2023

SARS-CoV-2 ORF7a mutation found in BF.5 and BF.7 sublineages impacts its functions

A feature of the SARS-CoV-2 Omicron subvariants BF.5 and BF.7 that recently circulated mainly in China and Japan was the high prevalence of ORF7a: H47Y mutation. Here we evaluated the effect of this mutation on the three main functions ascribed to SARS-CoV-2 ORF7a protein. Our findings show that H47Y mutation impairs the ability of SARS-CoV-2 ORF7a to antagonize type-I interferon (IFN-I) response and to downregulate Major Histocompatibility Complex-I (MHC-I) cell surface levels, but had no effect in its anti-SERINC5 function. Overall, our results suggest that the H47Y mutation of ORF7a affects important functions of this protein resulting in changes in virus pathogenesis. ImportanceIn late 2021, the Omicron (B.1.1.529) VOC emerged and outcompeted the circulating VOC Delta (B.1.617.2). Soon afterwards, Omicron VOC has expanded and diversified in the world. Among the emerged subvariants of Omicron are BF.5 and BF.7 that are characterized by the presence of a number of mutations across their genome and spread quite effectively across China and other countries later on. One such mutation that was found in the vast majority of isolates of the BF.5 and BF.7 subvariants was ORF7a: H47Y, whose effect on ORF7a is unknown. In this report, we show that H47Y inhibits a number of ORF7a functions, which can potentially affect virus pathogenesis.

microbiology↗

bioRxiv2023

Transmissibility, infectivity, and immune resistance of the SARS-CoV-2 BA.2.86 variant

In September 2023, the SARS-CoV-2 XBB descendants, such as XBB.1.5 and EG.5.1 (originally XBB.1.9.2.5.1), are predominantly circulating worldwide. Unexpectedly, however, a lineage distinct from XBB was identified and named BA.2.86 on August 14, 2023. Notably, BA.2.86 bears more than 30 mutations in the spike (S) protein when compared to XBB and the parental BA.2, and many of them are assumed to be associated with immune evasion. Although the number of reported cases is low (68 sequences have been reported as of 7 September 2023), BA.2.86 has been detected in several continents (Europe, North America and Africa), suggesting that this variant may be spreading silently worldwide. On 17 August 2023, the WHO designated BA.2.86 as a variant under monitoring. Here we show evidence suggesting that BA.2.86 potentially has greater fitness than current circulating XBB variants including EG.5.1. The pseudovirus assay showed that the infectivity of BA.2.86 was significantly lower than that of B.1.1 and EG.5.1, suggesting that the increased fitness of BA.2.86 is not due to the increased infectivity. We then performed a neutralization assay using XBB breakthrough infection sera to address whether BA.2.86 evades the antiviral effect of the humoral immunity induced by XBB subvariants. The 50% neutralization titer of XBB BTI sera against BA.2.86 was significantly (1.6-fold) lower than those against EG.5.1. The sera obtained from individuals vaccinated with 3rd-dose monovalent, 4th-dose monovalent, BA.1 bivalent, and BA.5 bivalent mRNA vaccines exhibited very little or no antiviral effects against BA.2.86. Moreover, the three monoclonal antibodies (Bebtelovimab, Sotrovimab and Cilgavimab), which worked against the parental BA.2, did not exhibit antiviral effects against BA.2.86. These results suggest that BA.2.86 is one of the most highly immune evasive variants ever.

microbiology↗

bioRxiv2023

Virological characteristics of the SARS-CoV-2 XBB.1.5 variant

Circulation of SARS-CoV-2 Omicron XBB has resulted in the emergence of XBB.1.5, a new Variant of Interest. Our phylogenetic analysis suggests that XBB.1.5 evolved from XBB.1 by acquiring the F486P spike (S) mutation, subsequent to the acquisition of a nonsense mutation in ORF8. Neutralization assays showed similar abilities of immune escape between XBB.1.5 and XBB.1. We determined the structural basis for the interaction between human ACE2 and the S protein of XBB.1.5, showing similar overall structures between the S proteins of XBB.1 and XBB.1.5. The intrinsic pathogenicity of XBB.1.5 in hamsters is lower than that of XBB.1. Importantly, we found that the ORF8 nonsense mutation of XBB.1.5 resulted in impairment of MHC expression. In vivo experiments using recombinant viruses revealed that the XBB.1.5 mutations are involved with reduced virulence of XBB.1.5. Together, these data suggest that the mutations in ORF8 and S could enhance spreading of XBB.1.5 in humans.

microbiology↗