scholarly journals Timing and scope of genomic expansion within Annelida: evidence from homeoboxes in the genome of the earthworm Eisenia fetida

2015 ◽  
Author(s):  
Allison S Zwarycz ◽  
Carlos W Nossa ◽  
Nicholas H Putnam ◽  
Joseph Ryan
Keyword(s):  
Eisenia Fetida ◽  
Evolutionary Dynamics ◽  
Dynamic Range ◽  
Draft Genome ◽  
Recent Common Ancestor ◽  
Genome Data ◽  
Most Recent Common Ancestor ◽  
Helobdella Robusta ◽  
Evolutionary Genomic ◽  
New Perspective

Annelida represents a large and morphologically diverse group of bilaterian organisms. The recently published polychaete and leech genome sequences revealed an equally dynamic range of diversity at the genomic level. The availability of more annelid genomes will allow for the identification of evolutionary genomic events that helped shape the annelid lineage and better understand the diversity within the group. We sequenced and assembled the genome of the common earthworm, Eisenia fetida. As a first pass at understanding the diversity within the group, we classified 440 earthworm homeoboxes and compared them to those of the leech Helobdella robusta and the polychaete Capitella teleta. We inferred many gene expansions occurring in the lineage connecting the most recent common ancestor (MRCA) of Capitella and Eisenia to the Eisenia/Helobdella MRCA. Likewise, the lineage leading from the Eisenia/Helobdella MRCA to the leech Helobdella robusta has experienced substantial gains and losses. However, the lineage leading from Eisenia/Helobdella MRCA to E. fetida is characterized by extraordinary levels of homeobox gain. The evolutionary dynamics observed in the homeoboxes of these lineages are very likely to be generalizable to all genes. These genome expansions and losses have likely contributed to the remarkable biology exhibited in this group. These results provide a new perspective from which to understand the diversity within these lineages, show the utility of sub-draft genome assemblies for understanding genomic evolution, and provide a critical resource from which the biology of these animals can be studied. The genome data can be accessed through the Eisenia fetida Genome Portal: http://ryanlab.whitney.ufl.edu/genomes/Efet/

scholarly journals Global transmission and evolutionary dynamics of the Chikungunya virus

2020 ◽  
Vol 148 ◽  
Author(s):  
F. Deeba ◽  
M. S. H. Haider ◽  
A. Ahmed ◽  
A. Tazeen ◽  
M. I. Faizan ◽  
...  
Keyword(s):  
Selection Pressure ◽  
Chikungunya Virus ◽  
Evolutionary Dynamics ◽  
Control Measures ◽  
Recent Common Ancestor ◽  
Viral Pathogen ◽  
Evolutionary Pattern ◽  
Genetic Characterisation ◽  
Most Recent Common Ancestor ◽  
E1 Protein

Abstract Chikungunya virus (CHIKV) is a re-emerging pathogen of global importance. We attempted to gain an insight into the organisation, distribution and mutational load of the virus strains reported from different parts of the world. We describe transmission dynamics and genetic characterisation of CHIKV across the globe during the last 65 years from 1952 to 2017. The evolutionary pattern of CHIKV was analysed using the E1 protein gene through phylogenetic, Bayesian and Network methods with a dataset of 265 sequences from various countries. The time to most recent common ancestor of the virus was estimated to be 491 years ago with an evolutionary rate of 2.78 × 10−4 substitutions/site/year. Genetic characterisation of CHIKV strains was carried out in terms of variable sites, selection pressure and epitope mapping. The neutral selection pressure on the E1 gene of the virus suggested a stochastic process of evolution. We identified six potential epitope peptides in the E1 protein showing substantial interaction with human MHC-I and MHC-II alleles. The present study augments global epidemiological and population dynamics of CHIKV warranting undertaking of appropriate control measures. The identification of epitopic peptides can be useful in the development of epitope-based vaccine strategies against this re-emerging viral pathogen.

scholarly journals Multi-year evolutionary dynamics of West Nile virus in suburban Chicago, USA, 2005–2007

2010 ◽  
Vol 365 (1548) ◽  
pp. 1871-1878 ◽  
Author(s):  
Giusi Amore ◽  
Luigi Bertolotti ◽  
Gabriel L. Hamer ◽  
Uriel D. Kitron ◽  
Edward D. Walker ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Evolutionary Dynamics ◽  
Common Ancestor ◽  
Hot Spot ◽  
Viral Envelope ◽  
Recent Common Ancestor ◽  
Evolutionary Information ◽  
Envelope Gene ◽  
West Nile ◽  
Most Recent Common Ancestor

West Nile virus has evolved in concert with its expansion across North America, but little is known about the evolutionary dynamics of the virus on local scales. We analysed viral nucleotide sequences from mosquitoes collected in 2005, 2006, and 2007 from a known transmission ‘hot spot’ in suburban Chicago, USA. Within this approximately 11 × 14 km area, the viral envelope gene has increased approximately 0.1% yr −1 in nucleotide-level genetic diversity. In each year, viral diversity was higher in ‘residential’ sites characterized by dense housing than in more open ‘urban green space’ sites such as cemeteries and parks. Phylodynamic analyses showed an increase in incidence around 2005, consistent with a higher-than-average peak in mosquito and human infection rates that year. Analyses of times to most recent common ancestor suggest that WNV in 2005 and 2006 may have arisen predominantly from viruses present during 2004 and 2005, respectively, but that WNV in 2007 had an older common ancestor, perhaps indicating a predominantly mixed or exogenous origin. These results show that the population of WNV in suburban Chicago is an admixture of viruses that are both locally derived and introduced from elsewhere, containing evolutionary information aggregated across a breadth of spatial and temporal scales.

scholarly journals Evolutionary dynamics of human and avian metapneumoviruses

2008 ◽  
Vol 89 (12) ◽  
pp. 2933-2942 ◽  
Author(s):  
Miranda de Graaf ◽  
Albert D. M. E. Osterhaus ◽  
Ron A. M. Fouchier ◽  
Edward C. Holmes
Keyword(s):  
Genetic Diversity ◽  
Evolutionary Dynamics ◽  
Recent Common Ancestor ◽  
Human Populations ◽  
Population Bottlenecks ◽  
Genetic Lineages ◽  
The Past ◽  
Most Recent Common Ancestor ◽  
Large Sets ◽  
Respiratory Tract Illnesses

Human (HMPV) and avian (AMPV) metapneumoviruses are closely related viruses that cause respiratory tract illnesses in humans and birds, respectively. Although HMPV was first discovered in 2001, retrospective studies have shown that HMPV has been circulating in humans for at least 50 years. AMPV was first isolated in the 1970s, and can be classified into four subgroups, A–D. AMPV subgroup C is more closely related to HMPV than to any other AMPV subgroup, suggesting that HMPV has emerged from AMPV-C upon zoonosis. Presently, at least four genetic lineages of HMPV circulate in human populations – A1, A2, B1 and B2 – of which lineages A and B are antigenically distinct. We used a Bayesian Markov Chain Monte Carlo (MCMC) framework to determine the evolutionary and epidemiological dynamics of HMPV and AMPV-C. The rates of nucleotide substitution, relative genetic diversity and time to the most recent common ancestor (TMRCA) were estimated using large sets of sequences of the nucleoprotein, the fusion protein and attachment protein genes. The sampled genetic diversity of HMPV was found to have arisen within the past 119–133 years, with consistent results across all three genes, while the TMRCA for HMPV and AMPV-C was estimated to have existed around 200 years ago. The relative genetic diversity observed in the four HMPV lineages was low, most likely reflecting continual population bottlenecks, with only limited evidence for positive selection.

scholarly journals Molecular Phylogenesis and Spatiotemporal Spread of SARS-CoV-2 in Southeast Asia

2021 ◽  
Vol 9 ◽  
Author(s):  
Mingjian Zhu ◽  
Jian Shen ◽  
Qianli Zeng ◽  
Joanna Weihui Tan ◽  
Jirapat Kleepbua ◽  
...  
Keyword(s):  
Southeast Asia ◽  
Evolutionary Dynamics ◽  
Phylogenetic Analyses ◽  
Population Expansion ◽  
Principal Component ◽  
Viral Population ◽  
Recent Common Ancestor ◽  
Tropical Region ◽  
Effective Population ◽  
Most Recent Common Ancestor

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.

scholarly journals Comprehensive evolution and molecular characteristics of a large number of SARS-CoV-2 genomes revealed its epidemic trend and possible origins

2020 ◽  
Author(s):  
Yunmeng Bai ◽  
Dawei Jiang ◽  
Jerome R Lon ◽  
Xiaoshi Chen ◽  
Meiling Hu ◽  
...  
Keyword(s):  
Common Ancestor ◽  
Neutral Evolution ◽  
Recent Common Ancestor ◽  
Molecular Characteristics ◽  
Major Haplotype ◽  
Most Recent Common Ancestor ◽  
Evolution Analysis ◽  
The World ◽  
Long Time ◽  
New Perspective

AbstractObjectivesTo reveal epidemic trend and possible origins of SARS-CoV-2 by exploring its evolution and molecular characteristics based on a large number of genomes since it has infected millions of people and spread quickly all over the world.MethodsVarious evolution analysis methods were employed.ResultsThe estimated Ka/Ks ratio of SARS-CoV-2 is 1.008 or 1.094 based on 622 or 3624 SARS-CoV-2 genomes, and the time to the most recent common ancestor (tMRCA) was inferred in late September 2019. Further 9 key specific sites of highly linkage and four major haplotypes H1, H2, H3 and H4 were found. The Ka/Ks, detected population size and development trends of each major haplotype showed H3 and H4 subgroups were going through a purify evolution and almost disappeared after detection, indicating H3 and H4 might have existed for a long time, while H1 and H2 subgroups were going through a near neutral or neutral evolution and globally increased with time. Notably the frequency of H1 was generally high in Europe and correlated to death rate (r>0.37).ConclusionsIn this study, the evolution and molecular characteristics of more than 16000 genomic sequences provided a new perspective for revealing epidemiology of SARS-CoV-2.

scholarly journals Draft Genome Sequence of a Potentially Novel Streptococcus Species Belonging to the Streptococcus mitis Group

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
Ingerid Ø. Kirkeleite ◽  
Jon Bohlin ◽  
Lonneke Scheffer ◽  
Einar T. Weme ◽  
Didrik F. Vestrheim
Keyword(s):  
Species Identification ◽  
Genome Sequence ◽  
Common Ancestor ◽  
Draft Genome ◽  
Draft Genome Sequence ◽  
Recent Common Ancestor ◽  
Streptococcus Mitis ◽  
Content Type ◽  
Streptococcus Species ◽  
Most Recent Common Ancestor

We report here the draft genome sequence of a Streptococcus species belonging to the S. mitis group. While a clear species identification cannot be made for the isolate, it appears that its most recent common ancestor is the species S. pseudopneumoniae.

scholarly journals Genomic and Micro-Evolutionary Features of Mammalian 2 orthobornavirus (Variegated Squirrel Bornavirus 1, VSBV-1)

2021 ◽  
Vol 9 (6) ◽  
pp. 1141
Author(s):  
Dániel Cadar ◽  
Jonas Schmidt-Chanasit ◽  
Dennis Tappe
Keyword(s):  
Evolutionary Dynamics ◽  
Animal Husbandry ◽  
Purifying Selection ◽  
Recent Common Ancestor ◽  
Positive Pressure ◽  
Evolutionary Mechanisms ◽  
Time Resolved ◽  
Viral Pathogen ◽  
Most Recent Common Ancestor ◽  
Evolutionary Features

Mammalian 2 orthobornavirus (VSBV-1) is an emerging zoonotic pathogen discovered in several exotic squirrel species and associated with fatal human encephalitis. The dynamics of VSBV-1 spread and evolution in its presumed natural hosts are unknown. Here, we present the phylogeny, micro-evolution, cross-species transmission and spread of VSBV-1 at a temporal and spatial resolution within the limits of animal husbandry. The results showed that VSBV-1 can be classified into six distinct groups and that the most recent common ancestor of the known German strains emerged at least 20 years ago. We here demonstrate that the genetic diversity of the VSBV-1 groups is shaped primarily by in situ evolution and most of the amino acid changes are deleterious polymorphisms removed by purifying selection. Evidence of adaptive evolution has been found in the G and L genes which might have an influence on transmission fitness. Furthermore, there was also evidence for some form of adaptive changes in the glycoprotein which suggests that many sites might be subjected to positive pressure evolving under episodic directional selection, indicating past occurrence of positive selection. Host switching events were detected as dominant evolutionary mechanisms driving the virus-host associations. Virus spread by animal trade followed by subsequent local micro-evolution in zoos and holdings is responsible for diversifying strains. Time-resolved phylogeny indicated that Prevost’s squirrels might be the original squirrel species carrying and seeding the virus in Germany. This study provides the first insight into the ecology and micro-evolutionary dynamics of this novel viral pathogen in the captive exotic squirrel population under artificial ecological conditions (zoos and animal husbandry) and co-housing of different squirrel species.

scholarly journals Evolutionary dynamics of GII.17 norovirus

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4333 ◽  
Author(s):  
Shaowei Sang ◽  
Xiaoyun Yang
Keyword(s):  
Binding Site ◽  
Evolutionary Dynamics ◽  
Phylogenetic Analyses ◽  
Recent Common Ancestor ◽  
Blood Group Antigens ◽  
The Novel ◽  
Nucleotide Substitutions ◽  
Most Recent Common Ancestor ◽  
Likelihood Analysis ◽  
Amino Acid Distance

Background During the winter of 2014–2015, a rarely reported norovirus (NoV) genotype GII.17 was found to have increased its frequency in norovirus outbreaks in East Asia, surpassing the GII.4 NoV infections. GII.17 genotype has been detected for over three decades in the world. The aim of this study is to examine the evolutionary dynamics of GII.17 over the last four decades. Methods NoV GII.17 sequences with complete or nearly complete VP1 were downloaded from GenBank and the phylogenetic analyses were then conducted. Results The maximum likelihood analysis showed that GII.17 genotype could be divided into four different clades (Clades A–D). The strains detected after 2012, which could be the cause of the outbreaks, were separated into Clades C–D with their mean amino acid distance being 4.5%. Bayesian Markov chain Monte Carlo analyses indicated that the rate of nucleotide substitution per sites was 1.68 × 10−3 nucleotide substitutions/site/year and the time of the most recent common ancestor was 1840. The P2 subdomain of GII.17 was highly variable with 44% (56/128) amino acids variations including two insertions at positions 295–296 and one deletion at position 385 (Clades C and D) and one insertion at position 375 (Clade D). Variations existed in Epitopes A, B and D corresponding to GII.4 and human histo-blood group antigens binding site I in P2 subdomain. Conclusion The novel GII.17 strains that caused outbreaks in 2013–2015 may have two new variants. The evolvement of HBGAs binding site and epitopes in P2 subdomain might contribute to the novel GII.17 strains predominance in some regions.

scholarly journals Evolution of NLR resistance genes with non-canonical N-terminal domains in wild tomato species

2019 ◽  
Author(s):  
Kyungyong Seong ◽  
Eunyoung Seo ◽  
Meng Li ◽  
Brian Staskawicz
Keyword(s):  
Single Molecule ◽  
Evolutionary Dynamics ◽  
Plant Immunity ◽  
Gene Families ◽  
Recent Common Ancestor ◽  
Wild Tomato Species ◽  
Most Recent Common Ancestor ◽  
Tomato Species ◽  
Large Gene ◽  
And Function

AbstractBackgroundNucleotide-binding and leucine-rich repeat immune receptors (NLRs) are an important component of plant immunity that provides resistance against diverse pathogens. NLRs often exist as large gene families, the members of which display diverse multi-domain architectures (MDAs) and evolve through various mechanisms of duplications and selections.ResultsWe conducted resistance gene enrichment sequencing (RenSeq) with single-molecule real time (SMRT) sequencing of PacBio for 18 accessions in Solanaceae including 15 wild tomatoes. We demonstrate what was previously known as Solanaceae Domain (SD) not only is more diverse in structure and function but also far anciently originated from the most recent common ancestor (MRCA) between Asterids and Amaranthaceae. In tomato, NLRs with the extended N-terminus displayed distinct patterns of evolution based on phylogenetic clades by proliferation, continuous elongation and domain losses.ConclusionsOur study provides high quality gene models of NLRs that can serve as resources for future studies for crop engineering and elucidates greater evolutionary dynamics of the extended NLRs than previously assumed.

scholarly journals Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics

2018 ◽  
Author(s):  
Emily Dolson ◽  
Alexander Lalejini ◽  
Steven Jorgensen ◽  
Charles Ofria
Keyword(s):  
Evolutionary Dynamics ◽  
Common Ancestor ◽  
Optimization Problems ◽  
Mutation Rates ◽  
Recent Common Ancestor ◽  
Two Dimensional ◽  
Digital Evolution ◽  
Most Recent Common Ancestor ◽  
Long Time ◽  
Phylogenetic Divergence

Fine-scale evolutionary dynamics can be challenging to tease out when focused on broad brush strokes of whole populations over long time spans. We propose a suite of diagnostic metrics that operate on lineages and phylogenies in digital evolution experiments with the aim of improving our capacity to quantitatively explore the nuances of evolutionary histories in digital evolution experiments. We present three types of lineage measurements: lineage length, mutation accumulation, and phenotypic volatility. Additionally, we suggest the adoption of four phylogeny measurements from biology: depth of the most-recent common ancestor, phylogenetic richness, phylogenetic divergence, and phylogenetic regularity. We demonstrate the use of each metric on a set of two-dimensional, real-valued optimization problems under a range of mutation rates and selection strengths, confirming our intuitions about what they can tell us about evolutionary dynamics.

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