Genomic classification using an information-based similarity index: application to the SARS coronavirus.

Measures of genetic distance based on alignment methods are confined to studying sequences that are conserved and identifiable in all organisms under study. A number of alignment-free techniques based on either statistical linguistics or information theory have been developed to overcome the limitations of alignment methods. We present a novel alignment-free approach to measuring the similarity among genetic sequences that incorporates elements from both word rank order-frequency statistics and information theory. We first validate this method on the human influenza A viral genomes as well as on the human mitochondrial DNA database. We then apply the method to study the origin of the SARS coronavirus. We find that the majority of the SARS genome is most closely related to group 1 coronaviruses, with smaller regions of matches to sequences from groups 2 and 3. The information based similarity index provides a new tool to measure the similarity between datasets based on their information content and may have a wide range of applications in the large-scale analysis of genomic databases.     

Genetic diversity of coronaviruses in Miniopterus fuliginosus bats

Coronaviruses, such as severe acute respiratory syndrome coronavirus and Middle East respiratory syndrome coronavirus, pose significant public health threats. Bats have been suggested to act as natural reservoirs for both these viruses, and periodic monitoring of coronaviruses in bats may thus provide important clues about emergent infectious viruses. The Eastern bent-wing bat Miniopterus fuliginosus is distributed extensively throughout China. We therefore analyzed the genetic diversity of coronaviruses in samples of M. fuliginosus collected from nine Chinese provinces during 2011–2013. The only coronavirus genus found was Alphacoronavirus. We established six complete and five partial genomic sequences of alphacoronaviruses, which revealed that they could be divided into two distinct lineages, with close relationships to coronaviruses in Miniopterus magnater and Miniopterus pusillus. Recombination was confirmed by detecting putative breakpoints of Lineage 1 coronaviruses in M. fuliginosus and M. pusillus(Wu et al., 2015), which supported the results of topological and phylogenetic analyses. The established alphacoronavirus genome sequences showed high similarity to other alphacoronaviruses found in other Miniopterus species, suggesting that their transmission in different Miniopterus species may provide opportunities for recombination with different alphacoronaviruses. The genetic information for these novel alphacoronaviruses will improve our understanding of the evolution and genetic diversity of coronaviruses, with potentially important implications for the transmission of human diseases.     

Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning

The COVID-19 pandemic has demonstrated the serious potential for novel zoonotic coronaviruses to emerge and cause major outbreaks. The immediate animal origin of the causative virus, SARS-CoV-2, remains unknown, a notoriously challenging task for emerging disease investigations. Coevolution with hosts leads to specific evolutionary signatures within viral genomes that can inform likely animal origins. We obtained a set of 650 spike protein and 511 whole genome nucleotide sequences from 222 and 185 viruses belonging to the family Coronaviridae, respectively. We then trained random forest models independently on genome composition biases of spike protein and whole genome sequences, including dinucleotide and codon usage biases in order to predict animal host (of nine possible categories, including human). In hold-one-out cross-validation, predictive accuracy on unseen coronaviruses consistently reached ~73%, indicating evolutionary signal in spike proteins to be just as informative as whole genome sequences. However, different composition biases were informative in each case. Applying optimised random forest models to classify human sequences of MERS-CoV and SARS-CoV revealed evolutionary signatures consistent with their recognised intermediate hosts (camelids, carnivores), while human sequences of SARS-CoV-2 were predicted as having bat hosts (suborder Yinpterochiroptera), supporting bats as the suspected origins of the current pandemic. In addition to phylogeny, variation in genome composition can act as an informative approach to predict emerging virus traits as soon as sequences are available. More widely, this work demonstrates the potential in combining genetic resources with machine learning algorithms to address long-standing challenges in emerging infectious diseases.     

Improved SARS-CoV-2 main protease high-throughput screening assay using a 5-carboxyfluorescein substrate

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as a global threat to human health has highlighted the need for the development of novel therapies targeting current and emerging coronaviruses with pandemic potential. The coronavirus main protease (M^pro, also called 3CL^pro) is a validated drug target against coronaviruses and has been heavily studied since the emergence of SARS-CoV-2 in late 2019. Here, we report the biophysical and enzymatic characterization of native M^pro, then characterize the steady-state kinetics of several commonly used FRET substrates, fluorogenic substrates, and six of the 11 reported SARS-CoV-2 polyprotein cleavage sequences. We then assessed the suitability of these substrates for high-throughput screening. Guided by our assessment of these substrates, we developed an improved 5-carboxyfluorescein-based FRET substrate, which is better suited for high-throughput screening and is less susceptible to interference and false positives than existing substrates. This study provides a useful framework for the design of coronavirus M^pro enzyme assays to facilitate the discovery and development of therapies targeting M^pro.     

A human coronavirus evolves antigenically to escape antibody immunity

There is intense interest in antibody immunity to coronaviruses. However, it is unknown if coronaviruses evolve to escape such immunity, and if so, how rapidly. Here we address this question by characterizing the historical evolution of human coronavirus 229E. We identify human sera from the 1980s and 1990s that have neutralizing titers against contemporaneous 229E that are comparable to the anti-SARS-CoV-2 titers induced by SARS-CoV-2 infection or vaccination. We test these sera against 229E strains isolated after sera collection, and find that neutralizing titers are lower against these “future” viruses. In some cases, sera that neutralize contemporaneous 229E viral strains with titers >1:100 do not detectably neutralize strains isolated 8–17 years later. The decreased neutralization of “future” viruses is due to antigenic evolution of the viral spike, especially in the receptor-binding domain. If these results extrapolate to other coronaviruses, then it may be advisable to periodically update SARS-CoV-2 vaccines.     

Identification of Conserved Epitopes in SARS-CoV-2 Spike and Nucleocapsid Protein

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus that first occurred in Wuhan in December 2019. The spike glycoproteins and nucleocapsid proteins are the most common targets for the development of vaccines and antiviral drugs.ObjectiveWe herein analyze the rate of evolution along with the sequences of spike and nucleocapsid proteins in relation to the spatial locations of their epitopes, previously suggested to contribute to the immune response caused by SARS-CoV-2 infections.MethodsWe compare homologous proteins of seven human coronaviruses: HCoV-229E, HCoV-OC43, SARS-CoV, HCoV-NL63, HCoV-HKU1, MERS-CoV, and SARS-CoV-2. We then focus on the local, structural order-disorder propensity of the protein regions where the SARS-CoV-2 epitopes are located. ResultsWe show that most of nucleocapsid protein epitopes overlap the RNA-binding and dimerization domains, and some of them are characterized by a low rate of evolutions. Similarly, spike protein epitopes are preferentially located in regions that are predicted to be ordered and well- conserved, in correspondence of the heptad repeats 1 and 2. Interestingly, both the receptor-binding motif to ACE2 and the fusion peptide of spike protein are characterized by a high rate of evolution.ConclusionOur results provide evidence for conserved epitopes that might help develop broad-spectrum SARS-CoV-2 vaccines.     

Consistent probabilistic outputs for protein function prediction

Background:

The wide availability of genome-scale data for several organisms has stimulated interest in computational approaches to gene function prediction. Diverse machine learning methods have been applied to unicellular organisms with some success, but few have been extensively tested on higher level, multicellular organisms. A recent mouse function prediction project (MouseFunc) brought together nine bioinformatics teams applying a diverse array of methodologies to mount the first large-scale effort to predict gene function in the laboratory mouse.

Results:

In this paper, we describe our contribution to this project, an ensemble framework based on the support vector machine that integrates diverse datasets in the context of the Gene Ontology hierarchy. We carry out a detailed analysis of the performance of our ensemble and provide insights into which methods work best under a variety of prediction scenarios. In addition, we applied our method to Saccharomyces cerevisiae and have experimentally confirmed functions for a novel mitochondrial protein.

Conclusion:

Our method consistently performs among the top methods in the MouseFunc evaluation. Furthermore, it exhibits good classification performance across a variety of cellular processes and functions in both a multicellular organism and a unicellular organism, indicating its ability to discover novel biology in diverse settings.

     

Feline aminopeptidase N serves as a receptor for feline, canine, porcine, and human coronaviruses in serogroup I.

Two members of coronavirus serogroup I, human respiratory coronavirus HCV-229E and porcine transmissible gastroenteritis virus (TGEV), use aminopeptidase N (APN) as their cellular receptors. These viruses show marked species specificity in receptor utilization, as HCV-229E can utilize human but not porcine APN, while TGEV can utilize porcine but not human APN. To determine whether feline APN could serve as a receptor for two feline coronaviruses in serogroup I, feline infectious peritonitis virus (FIPV) and feline enteric coronavirus (FeCV), we cloned the cDNA encoding feline APN (fAPN) by PCR from cDNA isolated from a feline cell line and stably expressed it in FIPV- and FeCV-resistant mouse and hamster cells. The predicted amino acid sequence of fAPN shows 78 and 77% identity with human and porcine APN, respectively. When inoculated with either of two biologically different strains of FIPV or with FeCV, fAPN-transfected mouse and hamster cells became infected and viral antigens developed in the cytoplasm. Infectious FIPV was released from hamster cells stably transfected with fAPN. The fAPN-transfected mouse and hamster cells were challenged with other coronaviruses in serogroup I including canine coronavirus, porcine coronavirus TGEV, and human coronavirus HCV-229E. In addition to serving as a receptor for the feline coronaviruses, fAPN also served as a functional receptor for each of these serogroup I coronaviruses as shown by development of viral antigens in the cytoplasm of infected mouse or hamster cells stably transfected with fAPN. In contrast, fAPN did not serve as a functional receptor for mouse hepatitis virus (MHV-A59), which is in serogroup II and utilizes mouse biliary glycoprotein receptors unrelated to APN. Thus, fAPN serves as a receptor for a much broader range of group I coronaviruses than human and porcine APNs. The human, porcine, and canine coronaviruses in serogroup I that are able to use fAPN as a receptor have previously been shown to infect cats without causing disease. Therefore, host factors in addition to receptor specificity apparently affect the virulence and transmissibility of nonfeline serogroup I coronaviruses in the cat.     

Intrinsic resistance of feline peritoneal macrophages to coronavirus infection correlates with in vivo virulence.

Cats infected with virulent feline coronavirus strains develop feline infectious peritonitis, an invariably fatal, immunologically mediated disease; avirulent strains cause either clinically inapparent infection or mild enteritis. Four virulent coronavirus isolates and five avirulent isolates were assessed by immunofluorescence and virus titration for their ability to infect and replicate in feline peritoneal macrophages in vitro. The avirulent coronaviruses infected fewer macrophages, produced lower virus titers, were less able to sustain viral replication, and spread less efficiently to other susceptible macrophages than the virulent coronaviruses. Thus, the intrinsic resistance of feline macrophages may play a pivotal role in the outcome of coronavirus infection in vivo.     

基于毛细管电泳的快速检测七种人冠状病毒技术方法的建立

近来,一种新型冠状病毒(SARS-CoV-2)引发的COVID-19突发疫情,给全球公众健康和社会经济构成严重威胁。SARS-CoV-2成为继人冠状病毒229E(Human coronavirus 229E,HCoV-229E)、人冠状病毒OC43(Human coronavirus OC43,HCoV-OC43)、严重急性呼吸综合征冠状病毒(Severe acute respiratory syndrome coronavirus,SARS-CoV)、人冠状病毒NL63(Human coronavirus NL63,HCoV-NL63)、人冠状病毒HKU1(Human coronavirus HKU1,HCoV-HKU1)和中东呼吸综合征冠状病毒(Middle East respiratory syndrome coronavirus,MERS-CoV)后第七种感染人类的冠状病毒。本研究以高分辨毛细管电泳技术为基础,针对七种人冠状病毒基因保守区分别设计特异性引物对,经常规PCR扩增后,通过具备单碱基差异分辨率的毛细管电泳分析,实现快速检测七种人冠状病毒的目标。通过构建基于毛细管电泳的人冠状病毒分子靶标,实现同时快速精准鉴定七种人冠状病毒的目的。本研究建立的人冠状病毒毛细管电泳快速检测技术方法具有极高灵敏性和精确性,分辨率高而且特异性好,操作简便成本低廉,为人冠状病毒的临床诊断、口岸快速检测等提供了新的技术支持。     

Exploring human-animal host interactions and emergence of COVID-19: Evolutionary and ecological dynamics

The novel coronavirus disease (COVID-19) that emerged in December 2019 had caused substantial morbidity and mortality at the global level within few months. It affected economies, stopped travel, and isolated individuals and populations around the world. Wildlife, especially bats, serve as reservoirs of coronaviruses from which the variant Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) emerged that causes COVID-19. In this review, we describe the current knowledge on COVID-19 and the significance of wildlife hosts in its emergence. Mammalian and avian coronaviruses have diverse host ranges with distinct lineages of coronaviruses. Recombination and reassortments occur more frequently in mixed-animal markets where diverse viral genotypes intermingle. Human coronaviruses have evolved through gene gains and losses primarily in interfaces where wildlife and humans come in frequent contact. There is a gap in our understanding of bats as reservoirs of coronaviruses and there is a misconception that bats periodically transmit coronaviruses to humans. Future research should investigate bat viral diversity and loads at interfaces between humans and bats. Furthermore, there is an urgent need to evaluate viral strains circulating in mixed animal markets, where the coronaviruses circulated before becoming adapted to humans. We propose and discuss a management intervention plan for COVID-19 and raise questions on the suitability of current containment plans. We anticipate that more virulent coronaviruses could emerge unless proper measures are taken to limit interactions between diverse wildlife and humans in wild animal markets.     

A framework for improving microRNA prediction in non-human genomes

The prediction of novel pre-microRNA (miRNA) from genomic sequence has received considerable attention recently. However, the majority of studies have focused on the human genome. Previous studies have demonstrated that sensitivity (correctly detecting true miRNA) is sustained when human-trained methods are applied to other species, however they have failed to report the dramatic drop in specificity (the ability to correctly reject non-miRNA sequences) in non-human genomes. Considering the ratio of true miRNA sequences to pseudo-miRNA sequences is on the order of 1:1000, such low specificity prevents the application of most existing tools to non-human genomes, as the number of false positives overwhelms the true predictions. We here introduce a framework (SMIRP) for creating species-specific miRNA prediction systems, leveraging sequence conservation and phylogenetic distance information. Substantial improvements in specificity and precision are obtained for four non-human test species when our framework is applied to three different prediction systems representing two types of classifiers (support vector machine and Random Forest), based on three different feature sets, with both human-specific and taxon-wide training data. The SMIRP framework is potentially applicable to all miRNA prediction systems and we expect substantial improvement in precision and specificity, while sustaining sensitivity, independent of the machine learning technique chosen.     

冠状病毒的致病性及防控

近50年来，新的冠状病毒不断出现，引起人类及动物的各种疾病。近期，在武汉肺炎患者中分离到新的冠状病毒。世界卫生组织(World Health Organization，WHO)认为，中国在短期内即初步鉴定出新病原，且采取了有效管控措施，显示了科学家的科技实力及政府对突发新现传染病的处置能力。本文简要介绍了近年来新出现的冠状病毒并提出防控建议。     

Bat origin of human coronaviruses

Bats have been recognized as the natural reservoirs of a large variety of viruses. Special attention has been paid to bat coronaviruses as the two emerging coronaviruses which have caused unexpected human disease outbreaks in the 21st century, Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS-CoV), are suggested to be originated from bats. Various species of horseshoe bats in China have been found to harbor genetically diverse SARS-like coronaviruses. Some strains are highly similar to SARS-CoV even in the spike protein and are able to use the same receptor as SARS-CoV for cell entry. On the other hand, diverse coronaviruses phylogenetically related to MERS-CoV have been discovered worldwide in a wide range of bat species, some of which can be classified to the same coronavirus species as MERS-CoV. Coronaviruses genetically related to human coronavirus 229E and NL63 have been detected in bats as well. Moreover, intermediate hosts are believed to play an important role in the transmission and emergence of these coronaviruses from bats to humans. Understanding the bat origin of human coronaviruses is helpful for the prediction and prevention of another pandemic emergence in the future.     

Down on the farm: Farm coronaviruses are a large reservoir for new spillover events into humans

Until COVID‐19, coronaviruses were largely overlooked by virologists. Yet, their abundance in mammalian species could cause new spillover events into humans. Subject Categories: Ecology, Microbiology, Virology & Host Pathogen Interaction

By now, coronaviruses have become notorious. Yet, before the SARS coronaviruses started wreaking havoc with human society, coronaviruses were largely overlooked, even amongst virologists. “When I told another virologist at a meeting what I was working on”, recalled Peter Rottier at Utrecht University, the Netherlands, who began his coronavirus research in 1979, “that person said they''d never heard of coronaviruses”. With plenty of other viruses such as influenza and HIV demanding attention, funders saw no reason to support research on the endemic human coronaviruses in the 1980s and 1990s since they caused mostly common cold.

With plenty of other viruses such as influenza and HIV demanding attention, funders saw no reason to support research on the endemic human coronaviruses in the 1980s and 90s…

Clinicians and virologists began taking much notice around 2003 and 2004 after the SARS coronavirus inflicted about 800 deaths before the outbreak receded, but the potential of this virus family to spillover into new species and mutate to more virulent strains had long been recognized by veterinarians, because coronaviruses inflict significant diseases in poultry, cattle and especially pigs. Virologists now are taking a closer look at some of these diseases to better understand coronaviruses and why they may be relevant for potential future pandemics.     

Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information

Background  

Most of the existing in silico phosphorylation site prediction systems use machine learning approach that requires preparing a good set of classification data in order to build the classification knowledge. Furthermore, phosphorylation is catalyzed by kinase enzymes and hence the kinase information of the phosphorylated sites has been used as major classification data in most of the existing systems. Since the number of kinase annotations in protein sequences is far less than that of the proteins being sequenced to date, the prediction systems that use the information found from the small clique of kinase annotated proteins can not be considered as completely perfect for predicting outside the clique. Hence the systems are certainly not generalized. In this paper, a novel generalized prediction system, PPRED (Phosphorylation PREDictor) is proposed that ignores the kinase information and only uses the evolutionary information of proteins for classifying phosphorylation sites.     

Ecoepidemiology and Complete Genome Comparison of Different Strains of Severe Acute Respiratory Syndrome-Related Rhinolophus Bat Coronavirus in China Reveal Bats as a Reservoir for Acute,Self-Limiting Infection That Allows Recombination Events

Despite the identification of severe acute respiratory syndrome-related coronavirus (SARSr-CoV) in Rhinolophus Chinese horseshoe bats (SARSr-Rh-BatCoV) in China, the evolutionary and possible recombination origin of SARSr-CoV remains undetermined. We carried out the first study to investigate the migration pattern and SARSr-Rh-BatCoV genome epidemiology in Chinese horseshoe bats during a 4-year period. Of 1,401 Chinese horseshoe bats from Hong Kong and Guangdong, China, that were sampled, SARSr-Rh-BatCoV was detected in alimentary specimens from 130 (9.3%) bats, with peak activity during spring. A tagging exercise of 511 bats showed migration distances from 1.86 to 17 km. Bats carrying SARSr-Rh-BatCoV appeared healthy, with viral clearance occurring between 2 weeks and 4 months. However, lower body weights were observed in bats positive for SARSr-Rh-BatCoV, but not Rh-BatCoV HKU2. Complete genome sequencing of 10 SARSr-Rh-BatCoV strains showed frequent recombination between different strains. Moreover, recombination was detected between SARSr-Rh-BatCoV Rp3 from Guangxi, China, and Rf1 from Hubei, China, in the possible generation of civet SARSr-CoV SZ3, with a breakpoint at the nsp16/spike region. Molecular clock analysis showed that SARSr-CoVs were newly emerged viruses with the time of the most recent common ancestor (tMRCA) at 1972, which diverged between civet and bat strains in 1995. The present data suggest that SARSr-Rh-BatCoV causes acute, self-limiting infection in horseshoe bats, which serve as a reservoir for recombination between strains from different geographical locations within reachable foraging range. Civet SARSr-CoV is likely a recombinant virus arising from SARSr-CoV strains closely related to SARSr-Rh-BatCoV Rp3 and Rf1. Such frequent recombination, coupled with rapid evolution especially in ORF7b/ORF8 region, in these animals may have accounted for the cross-species transmission and emergence of SARS.Coronaviruses can infect a wide variety of animals, causing respiratory, enteric, hepatic, and neurological diseases with different degrees of severity. On the basis of genotypic and serological characteristics, coronaviruses were classified into three distinct groups (2, 20, 54). Among coronaviruses that infect humans, human coronavirus 229E (HCoV-229E) and human coronavirus NL63 (HCoV-NL63) belong to group 1 coronaviruses and human coronavirus OC43 (HCoV-OC43), and human coronavirus HKU1 (HCoV-HKU1) belong to group 2 coronaviruses, whereas severe acute respiratory syndrome-related coronavirus (SARSr-CoV) has been classified as a group 2b coronavirus, distantly related to group 2a, and the recently discovered group 2c and 2d coronaviruses (6, 8, 10, 18, 31, 38, 43, 46, 49, 50). Recently, the Coronavirus Study Group of the International Committee for Taxonomy of Viruses has proposed renaming the traditional group 1, 2, and 3 coronaviruses Alphacoronavirus, Betacoronavirus, and Gammacoronavirus, respectively (http://talk.ictvonline.org/media/p/1230.aspx).Among all coronaviruses, SARSr-CoV has caused the most severe disease in humans, with over 700 fatalities since the SARS epidemic in 2003. Although the identification of SARSr-CoV in Himalayan palm civets and raccoon dogs in live animal markets in southern China suggested that wild animals could be the origin of SARS (11), the presence of the virus in only market or farmed civets, but not civets in the wild, and the rapid evolution of SARSr-CoV genomes in market civets suggested that these caged animals were only intermediate hosts (24, 39, 42, 52). Since bats are commonly found and served in wild animal markets and restaurants in Guangdong, China (47), we have previously carried out a study of bats from the region and identified a SARSr-CoV in Rhinolophus Chinese horseshoe bats (SARSr-Rh-BatCoV) (21). Similar viruses have also been found in three other species of horseshoe bats in mainland China (25), supporting the hypothesis that horseshoe bats are a reservoir of SARSr-CoV. Recently, viruses closely related to SARSr-Rh-BatCoV in China were also reported in Chaerophon bats from Africa, although only partial RNA-dependent RNA polymerase (RdRp) sequences were available (41). In addition, more than 10 previously unrecognized coronaviruses of huge diversity have since been identified in bats from China and other countries (1, 3, 5, 9, 22, 27, 32, 33, 40, 46, 51), suggesting that bats play an important role in the ecology and evolution of coronaviruses.As a result of the unique mechanism of viral replication, coronaviruses have a high frequency of recombination (20). Such a high recombination rate, coupled with the infidelity of the polymerases of RNA viruses, may allow them to adapt to new hosts and ecological niches (12, 48). Recombination in coronaviruses was first recognized between different strains of murine hepatitis virus (MHV) and subsequently in other coronaviruses, such as infectious bronchitis virus, between MHV and bovine coronavirus, and between feline coronavirus type I and canine coronavirus generating feline coronavirus type II (12, 16, 17, 23). Recently, by complete genome analysis of 22 strains of HCoV-HKU1, we have also documented for the first time that natural recombination events in a human coronavirus can give rise to three different genotypes (48).Although previous studies have attempted to study the possible evolutionary and recombination origin of SARSr-CoV, no definite conclusion can be made on whether the viruses from bats are the direct ancestor of SARSr-CoV in civets and humans, given the paucity of available strains and genome sequences. To better define the epidemiology and evolution of SARSr-Rh-BatCoV in China and their role as a recombination origin of SARSr-CoV in civets, we carried out a 4-year study on coronaviruses in Chinese horseshoe bats in Hong Kong and Guangdong Province of southern China. Bat tagging was also performed to study the migration pattern of bats and viral persistence. The complete genomes of 10 strains of SARSr-Rh-BatCoV obtained at different time were sequenced and compared to previously sequenced genomes. With the availability of this larger set of genome sequences for more accurate analysis, recombination and molecular clock analyses were performed to elucidate the evolutionary origin and time of interspecies transmission of SARSr-CoV.