scholarly journals Genetic Characterizations and Molecular Evolution of VP7 Gene in Human Group A Rotavirus G1

Viruses ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 831
Author(s):  
Nan Zhou ◽  
Lu Zhou ◽  
Bei Wang

Rotavirus group A (RVA) G1 is one leading genotype circulating in humans worldwide, and related molecular information from a global perspective is still limited. Here, we present a comprehensive description of the genetic characterizations and molecular evolution of the RVA G1 VP7 gene. Our results show that RVA G1 can be divided into two lineages and multiple sub-lineages with a relatively high genetic diversity. Vaccine strains are phylogenetic, closer to lineage I. The evolutionary rate of the RVA G1 VP7 gene is 8.869 × 10−4 substitutions/site/year, and its most recent common ancestor was in 1933. The RVA G1 VP7 gene shows a linear evolution at the nucleotide level and a linear accumulation of difference at the amino acid level. Sub-lineage replacement of G1 VP7 gene is also observed and the effective population size of the G1 VP7 gene has had great change in the past decades and has remained stable in recent years. Altogether, the RVA G1 VP7 gene constantly evolves and there is no clear evidence that the evolution of the RVA G1 VP7 gene was influenced by vaccines. Continuous surveillance is still indispensable to evaluate the molecular epidemiology of RVA, especially in the post-vaccination era.

Viruses ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 707 ◽  
Author(s):  
Zhou ◽  
Zhou ◽  
Wang

Classic human astroviruses (HAstV) are major global viral agents for gastroenteritis, but the molecular characteristics of classic HAstVs are not well understood. Here, we presented the molecular evolution of all classic HAstV serotypes by the analysis of the capsid protein sequences. Our results show that classic HAstVs can be divided into four groups with the most recent common ancestor (TMRCA) of 749. The overall evolutionary rate of classic HAstVs on the capsid gene was 4.509×10−4 substitutions/site/year, and most of the serotypes present a clock-like evolution with an amino acid accumulation of mutations over time. The mean effective population size of classic HAstVs is in a downward trend, and some positive and more than 500 negative selection sites were determined. Taken together, these results reveal that classic HAstVs evolve at the intra-serotype level with high genetic heterogeneity and are driven by strong purifying selection. Long-term surveillance of classic HAstVs are needed to enrich the genomic data for further analysis.


2008 ◽  
Vol 363 (1512) ◽  
pp. 3931-3939 ◽  
Author(s):  
Sang Chul Choi ◽  
Benjamin D Redelings ◽  
Jeffrey L Thorne

Models of molecular evolution tend to be overly simplistic caricatures of biology that are prone to assigning high probabilities to biologically implausible DNA or protein sequences. Here, we explore how to construct time-reversible evolutionary models that yield stationary distributions of sequences that match given target distributions. By adopting comparatively realistic target distributions, evolutionary models can be improved. Instead of focusing on estimating parameters, we concentrate on the population genetic implications of these models. Specifically, we obtain estimates of the product of effective population size and relative fitness difference of alleles. The approach is illustrated with two applications to protein-coding DNA. In the first, a codon-based evolutionary model yields a stationary distribution of sequences, which, when the sequences are translated, matches a variable-length Markov model trained on human proteins. In the second, we introduce an insertion–deletion model that describes selectively neutral evolutionary changes to DNA. We then show how to modify the neutral model so that its stationary distribution at the amino acid level can match a profile hidden Markov model, such as the one associated with the Pfam database.


2019 ◽  
Vol 15 ◽  
pp. 117693431986492 ◽  
Author(s):  
Ke Guo ◽  
Li-Li Li ◽  
Qing Zhang ◽  
Jie-Mei Yu ◽  
Yan Ye

We assessed the quasispecies heterogeneity of a human astrovirus MLB2 (HAstV-MLB2-YJMGK) in immunocompromised patients following hematopoietic stem cell transplantation and performed genetic and evolutionary analyses of HAstV isolates circulating worldwide. The result showed that the virus had diversified variants and a strong positive selection in the patient, indicating that such patients may be a reservoir for astrovirus. The time to the most recent common ancestor of MLB2 and classic HAstVs was around 1800 years, and it has a decline in effective population size of HAstVs in the late 100 years.


2021 ◽  
Author(s):  
Jonas Wolf ◽  
Thiago Kastell Mazeto ◽  
Vagner Reinaldo Zingalli Bueno Pereira ◽  
Daniel Simon ◽  
Vagner Ricardo Lunge

Abstract Hepatitis B virus (HBV) genotype F evolution is not completely understood in Latin America. This study aims to evaluate the molecular evolution of HBV-F in Latin America by comparing 224 whole-genome sequences. Bayesian coalescent analysis was performed to estimate the time to the most recent common ancestor. Four main clades were formed dated back between 1245 and 1730. Also, four subclades were identified dated back between 1705 and 1801. HBV-F overall effective population size grew in the 18th century and showed an initial circulation of HBV-F from Venezuela to other countries from Latin America.


2021 ◽  
Vol 9 ◽  
Author(s):  
Mingjian Zhu ◽  
Jian Shen ◽  
Qianli Zeng ◽  
Joanna Weihui Tan ◽  
Jirapat Kleepbua ◽  
...  

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has posed an unprecedented challenge to public health in Southeast Asia, a tropical region with limited resources. This study aimed to investigate the evolutionary dynamics and spatiotemporal patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the region.Materials and Methods: A total of 1491 complete SARS-CoV-2 genome sequences from 10 Southeast Asian countries were downloaded from the Global Initiative on Sharing Avian Influenza Data (GISAID) database on November 17, 2020. The evolutionary relationships were assessed using maximum likelihood (ML) and time-scaled Bayesian phylogenetic analyses, and the phylogenetic clustering was tested using principal component analysis (PCA). The spatial patterns of SARS-CoV-2 spread within Southeast Asia were inferred using the Bayesian stochastic search variable selection (BSSVS) model. The effective population size (Ne) trajectory was inferred using the Bayesian Skygrid model.Results: Four major clades (including one potentially endemic) were identified based on the maximum clade credibility (MCC) tree. Similar clustering was yielded by PCA; the first three PCs explained 46.9% of the total genomic variations among the samples. The time to the most recent common ancestor (tMRCA) and the evolutionary rate of SARS-CoV-2 circulating in Southeast Asia were estimated to be November 28, 2019 (September 7, 2019 to January 4, 2020) and 1.446 × 10−3 (1.292 × 10−3 to 1.613 × 10−3) substitutions per site per year, respectively. Singapore and Thailand were the two most probable root positions, with posterior probabilities of 0.549 and 0.413, respectively. There were high-support transmission links (Bayes factors exceeding 1,000) in Singapore, Malaysia, and Indonesia; Malaysia involved the highest number (7) of inferred transmission links within the region. A twice-accelerated viral population expansion, followed by a temporary setback, was inferred during the early stages of the pandemic in Southeast Asia.Conclusions: With available genomic data, we illustrate the phylogeography and phylodynamics of SARS-CoV-2 circulating in Southeast Asia. Continuous genomic surveillance and enhanced strategic collaboration should be listed as priorities to curb the pandemic, especially for regional communities dominated by developing countries.


Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1236
Author(s):  
Elisabeth Hempel ◽  
Michael V. Westbury ◽  
José H. Grau ◽  
Alexandra Trinks ◽  
Johanna L. A. Paijmans ◽  
...  

Since the 19th century, the addax (Addax nasomaculatus) has lost approximately 99% of its former range. Along with its close relatives, the blue antelope (Hippotragus leucophaeus) and the scimitar-horned oryx (Oryx dammah), the addax may be the third large African mammal species to go extinct in the wild in recent times. Despite this, the evolutionary history of this critically endangered species remains virtually unknown. To gain insight into the population history of the addax, we used hybridization capture to generate ten complete mitochondrial genomes from historical samples and assembled a nuclear genome. We found that both mitochondrial and nuclear diversity are low compared to other African bovids. Analysis of mitochondrial genomes revealed a most recent common ancestor ~32 kya (95% CI 11–58 kya) and weak phylogeographic structure, indicating that the addax likely existed as a highly mobile, panmictic population across its Sahelo–Saharan range in the past. PSMC analysis revealed a continuous decline in effective population size since ~2 Ma, with short intermediate increases at ~500 and ~44 kya. Our results suggest that the addax went through a major bottleneck in the Late Pleistocene, remaining at low population size prior to the human disturbances of the last few centuries.


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Austin L. Hughes

Phylogenetic analysis of heme peroxidases (HPXs) of Culicidae and other insects revealed six highly conserved ancient HPX lineages, each of which originated by gene duplication prior to the most recent common ancestor (MRCA) of Hemimetabola and Holmetabola. In addition, culicid HPX7 and HPX12 arose by gene duplication after the MRCA of Culicidae and Drosophilidae, while HPX2 orthologs were not found in any other order analyzed except Diptera. Within Diptera, HPX2, HPX7, and HPX12 were relatively poorly conserved at the amino acid level in comparison to the six ancient lineages. The genome ofAnopheles gambiaeincluded genes ecoding five proteins (HPX10, HPX11, HPX13, HXP14, and HPX15) without ortholgs in other genomes analyzed. Overall, gene expression patterns did not seem to reflect phylogenetic relationships, but genes that evolved rapidly at the amino acid sequence level tended to have divergent expression patterns as well. The uniquely high level of duplication of HPXs inA. gambiaemay have played a role in coevolution with malaria parasites.


Genetics ◽  
1998 ◽  
Vol 150 (1) ◽  
pp. 499-510 ◽  
Author(s):  
Ian J Wilson ◽  
David J Balding

Abstract Ease and accuracy of typing, together with high levels of polymorphism and widespread distribution in the genome, make microsatellite (or short tandem repeat) loci an attractive potential source of information about both population histories and evolutionary processes. However, microsatellite data are difficult to interpret, in particular because of the frequency of back-mutations. Stochastic models for the underlying genetic processes can be specified, but in the past they have been too complicated for direct analysis. Recent developments in stochastic simulation methodology now allow direct inference about both historical events, such as genealogical coalescence times, and evolutionary parameters, such as mutation rates. A feature of the Markov chain Monte Carlo (MCMC) algorithm that we propose here is that the likelihood computations are simplified by treating the (unknown) ancestral allelic states as auxiliary parameters. We illustrate the algorithm by analyzing microsatellite samples simulated under the model. Our results suggest that a single microsatellite usually does not provide enough information for useful inferences, but that several completely linked microsatellites can be informative about some aspects of genealogical history and evolutionary processes. We also reanalyze data from a previously published human Y chromosome microsatellite study, finding evidence for an effective population size for human Y chromosomes in the low thousands and a recent time since their most recent common ancestor: the 95% interval runs from ~15,000 to 130,000 years, with most likely values around 30,000 years.


2013 ◽  
Vol 94 (4) ◽  
pp. 843-850 ◽  
Author(s):  
Shuiping Chen

Crimean–Congo hemorrhagic fever virus (CCHFV), which is widely distributed in parts of Asia, Africa and Europe, often causes fatal viral infections in humans. However, its evolutionary features are still unclear. In this study, a total of 22 global CCHFV strains with complete genome segments were analysed. Three medium (M) segment reassortants and two small (S) segment reassortants were newly identified. According to Bayesian analysis of the S, M and large (L) segment datasets with and without reassortants, inclusion of reassortants was approved to bias Bayesian analysis of the S and L segments, but not the M segment. The mucin domain of the M segment had no effect on evolutionary rate estimates, but had slight effects on the time to the most recent common ancestor. Selection pressure analysis suggested that CCHFV was under strong purifying selection regardless of the S, M and L segments, and that the L segment was also shaped by positive selection. Bayesian analysis in this study indicated the evolutionary features of CCHFV, which were helpful in investigating the molecular evolution, CCHF surveillance and the pathogenicity of CCHFV and other viruses in the family Bunyaviridae.


1992 ◽  
Vol 6 ◽  
pp. 100-100
Author(s):  
John J. Flynn

Calculations of “rates of evolution” have been applied to a variety of indicators of change within populations, species, or higher taxa. This has led to confusion about taxonomic and temporal scaling, particularly when rates are calculated for supposedly “equivalent” taxonomic ranks, or “higher-level” taxa that are not monophyletic groups. All calculations of rates of evolutionary change require accurate temporal calibration. Even in studies of molecular evolution that assume a “molecular clock”, the rate at which any clock ticks must be calibrated empirically by fossil data on the age of divergence of some taxa.Molecular clock rates for all Mammalia generally have been calculated from the primate fossil record and phylogeny. However, rates of molecular evolution have been shown to vary both within and among different clades. Given a preference for a more rigorous system in which molecular divergence is not assumed to occur at a constant rate, the time of divergence should be determined directly for all clades in studies of molecular “rates of evolution”.The mammalian order Carnivora is a monophyletic group widely cited in studies of evolutionary tempo, and mode. However, few of those rate studies have considered explicitly the roles of fossil taxa and rigorously tested phylogenies. For example, phylogenetic placement of early Cenozoic Carnivora (generally placed in the paraphyletic “stem-group” “Miacoidea”), relative to the two major clades of living Carnivora (Caniformia and Feliformia), profoundly influences estimates of the age of cladogenetic divergence for clades of living carnivorans. If all the taxa placed within the “Miacoidea” lie outside a restricted clade of Carnivora (defined as the most recent common ancestor of extant Carnivora, and all of its descendants), then the oldest Carnivora (“neocarnivorans”) are late Eocene (about 35–40 Ma). However, if miacid “miacoids” are caniforms and viverravid “miacoids” are feliforms, then the Caniformia/Feliformia (=Carnivora) clade is at least as old as the oldest “miacoid” (middle Paleocene, or >60 Ma). The implications for calculations of rates of evolution within Carnivora are obvious. Similarly, many fossil Carnivora taxa have been assigned to living families, although the phylogenetic relationships of both fossil and living taxa within most of these families has been poorly understood. This presentation will consider: 1) minimum estimates of clade divergence time, based on current hypotheses of carnivoran phylogeny (emphasizing placement of fossil taxa) and oldest occurrence of fossils within a clade or its sister group- traditional taxonomies both underestimate (e.g. Caniformia/Feliformia) and overestimate (e.g. some living families, such as Viverridae) clade divergence times; and 2) calculation of rates of evolution within Carnivora, focusing on taxonomic diversification and molecular divergence, comparison of rates calculated using traditional taxonomies and artificial “higher-taxa” categories versus those using phylogenetic clades (“unranked”), and the effects of fossil taxa.


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