scholarly journals The Phylogeny of Class B Flavoprotein Monooxygenases and the Origin of the YUCCA Protein Family

Plants ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1092
Author(s):  
Igor I. Turnaev ◽  
Konstantin V. Gunbin ◽  
Valentin V. Suslov ◽  
Ilya R. Akberdin ◽  
Nikolay A. Kolchanov ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Land Plant ◽  
Protein Family ◽  
Land Plants ◽  
Recent Common Ancestor ◽  
Most Recent Common Ancestor ◽  
Class B ◽  
Protein Group ◽  
Rhodococcus Jostii Rha1 ◽  
New Protein

YUCCA (YUCCA flavin-dependent monooxygenase) is one of the two enzymes of the main auxin biosynthesis pathway (tryptophan aminotransferase enzyme (TAA)/YUCCA) in land plants. The evolutionary origin of the YUCCA family is currently controversial: YUCCAs are assumed to have emerged via a horizontal gene transfer (HGT) from bacteria to the most recent common ancestor (MRCA) of land plants or to have inherited it from their ancestor, the charophyte algae. To refine YUCCA origin, we performed a phylogenetic analysis of the class B flavoprotein monooxygenases and comparative analysis of the sequences belonging to different families of this protein class. We distinguished a new protein family, named type IIb flavin-containing monooxygenases (FMOs), which comprises homologs of YUCCA from Rhodophyta, Chlorophyta, and Charophyta, land plant proteins, and FMO-E, -F, and -G of the bacterium Rhodococcus jostii RHA1. The type IIb FMOs differ considerably in the sites and domain composition from the other families of class B flavoprotein monooxygenases, YUCCAs included. The phylogenetic analysis also demonstrated that the type IIb FMO clade is not a sibling clade of YUCCAs. We have also identified the bacterial protein group named YUC-like FMOs as the closest to YUCCA homologs. Our results support the hypothesis of the emergence of YUCCA via HGT from bacteria to MRCA of land plants.

scholarly journals Algal ancestor of land plants was preadapted for symbiosis

2015 ◽  
Vol 112 (43) ◽  
pp. 13390-13395 ◽  
Author(s):  
Pierre-Marc Delaux ◽  
Guru V. Radhakrishnan ◽  
Dhileepkumar Jayaraman ◽  
Jitender Cheema ◽  
Mathilde Malbreil ◽  
...  
Keyword(s):  
Root Colonization ◽  
Land Plant ◽  
Land Plants ◽  
Recent Common Ancestor ◽  
Mycorrhizal Symbiosis ◽  
Specific Expression ◽  
Symbiotic Associations ◽  
Most Recent Common Ancestor ◽  
Green Algal ◽  
Colonization Of Land

Colonization of land by plants was a major transition on Earth, but the developmental and genetic innovations required for this transition remain unknown. Physiological studies and the fossil record strongly suggest that the ability of the first land plants to form symbiotic associations with beneficial fungi was one of these critical innovations. In angiosperms, genes required for the perception and transduction of diffusible fungal signals for root colonization and for nutrient exchange have been characterized. However, the origin of these genes and their potential correlation with land colonization remain elusive. A comprehensive phylogenetic analysis of 259 transcriptomes and 10 green algal and basal land plant genomes, coupled with the characterization of the evolutionary path leading to the appearance of a key regulator, a calcium- and calmodulin-dependent protein kinase, showed that the symbiotic signaling pathway predated the first land plants. In contrast, downstream genes required for root colonization and their specific expression pattern probably appeared subsequent to the colonization of land. We conclude that the most recent common ancestor of extant land plants and green algae was preadapted for symbiotic associations. Subsequent improvement of this precursor stage in early land plants through rounds of gene duplication led to the acquisition of additional pathways and the ability to form a fully functional arbuscular mycorrhizal symbiosis.

scholarly journals RootDigger: a root placement program for phylogenetic trees

2020 ◽  
Author(s):  
Ben Bettisworth ◽  
Alexandros Stamatakis
Keyword(s):  
Phylogenetic Analysis ◽  
Markov Model ◽  
Phylogenetic Trees ◽  
Common Ancestor ◽  
Markov Models ◽  
Recent Common Ancestor ◽  
Most Recent Common Ancestor ◽  
Root Position ◽  
Confidence Value ◽  
Root Location

AbstractSummaryIn phylogenetic analysis, it is common to infer unrooted trees. Thus, it is unknown which node is the most recent common ancestor of all the taxa in the phylogeny. However, knowing the root location is desirable for downstream analyses and interpretation. There exist several methods to recover a root, such as midpoint rooting or rooting the tree at an outgroup. Non-reversible Markov models can also be used to compute the likelihood of a potential root position. We present a software called RootDigger which uses a non-reversible Markov model to compute the most likely root location on a given tree and to infer a confidence value for each possible root placement.Availability and implementationRootDigger is available under the MIT licence at https://github.com/computations/root_digger

scholarly journals A11 Evaluation of phylogenetic inference methods to determine direction of HIV transmission

2019 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
R Rose ◽  
A D Redd ◽  
S Lamers ◽  
S F Porcella ◽  
S E Hudelson ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Hiv Transmission ◽  
Recent Common Ancestor ◽  
Consensus Sequences ◽  
Most Recent Common Ancestor ◽  
Index Sequence ◽  
Inference Methods ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Entire Dataset

Abstract It has been postulated that the direction of HIV transmission between two individuals can be determined by phylogenetic analysis of HIV sequences. This approach may be problematic, since HIV sequences from newly infected individuals are often more similar to index sequences from samples collected years before transmission, compared to those from samples collected at the time of transmission. We evaluated the accuracy of phylogenetic methods for determining the direction of HIV transmission by analyzing next-generation sequencing (NGS) data from index–partner pairs enrolled in the HIV Prevention Trials Network (HPTN) 052 trial. HIV-infected index and HIV-uninfected partner participants were enrolled as serodiscordant couples; samples were analyzed from couples with index-to-partner HIV transmission that was confirmed by genetic linkage studies. NGS for HIV gp41 (HXB2 coordinates: 7691–8374) was performed using plasma samples from thirty-nine index–partner pairs (seventy-eight samples collected within 3 months of partner seroconversion). Maximum likelihood trees were generated using the entire dataset using FastTree v.2. Topological patterns of HIV from each index–partner pair were analyzed. The analysis included 9,368 consensus sequences and 521,145 total sequence reads for the seventy-eight samples analyzed. In 10 per cent (four out of thirty-nine) of couples, the phylogeny was inconsistent with the known direction of transmission. In 26 per cent (ten out of thirty-nine) of couples, the phylogeny results could not discern directionality. In 64 per cent (twenty-five out of thirty-nine) of couples, the results correctly indicated index-to-partner transmission; in two of these twenty-five cases, only one index sequence was closest to the most recent common ancestor. Phylogenetic analysis of NGS data obtained from samples collected within 3 months of transmission correctly determined the direction of transmission in 64 per cent of the cases analyzed. In 36 per cent of the cases, the phylogenetic topology did not support the known direction of infection, and in one-third of these cases the observed topology was opposite to the known direction of transmission. This demonstrates that phylogenetic topology alone may not be sufficient to accurately determine the direction of HIV transmission.

scholarly journals A territory-wide study of early COVID-19 outbreak in Hong Kong community: A clinical, epidemiological and phylogenomic investigation

2020 ◽  
Author(s):  
Kenneth Siu-Sing Leung ◽  
Timothy Ting-Leung Ng ◽  
Alan Ka-Lun Wu ◽  
Miranda Chong-Yee Yau ◽  
Hiu-Yin Lao ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Hong Kong ◽  
Local Community ◽  
Common Ancestor ◽  
Evolutionary Rate ◽  
Reproduction Number ◽  
Epidemiological Data ◽  
Recent Common Ancestor ◽  
Common Mutation ◽  
Most Recent Common Ancestor

AbstractInitial cases of COVID-19 reported in Hong Kong were mostly imported from China. However, most cases reported in February 2020 were locally-acquired infections, indicating local community transmissions. We extracted the demographic, clinical and epidemiological data from 50 COVID-19 patients, who accounted for 53.8% of the cases in Hong Kong by February 2020. Whole-genome sequencing of the SARS-CoV-2 were conducted to determine the phylogenetic relatedness and transmission dynamics. Only three (6.0%) patients required ICU admission. Phylogenetic analysis identified six transmission clusters. All locally-acquired cases harboured a common mutation Orf3a G251V and were clustered in two subclades in global phylogeny of SARS-CoV-2. The estimated time to the most recent common ancestor of local COVID-2019 outbreak was December 24, 2019 with an evolutionary rate of 3.04×10−3 substitutions per site per year. The reproduction number value was 1.84. Social distancing and vigilant epidemiological control are crucial to the containment of COVID-19 transmission.Article summary linesA combined epidemiological and phylogenetic analysis of early COVID-19 outbreak in Hong Kong revealed that a SARS-CoV-2 variant with ORF3a G251V mutation accounted for all locally acquired cases, and that asymptomatic carriers could be a huge public health risk for COVID-19 control.

Evolutionary analysis of rabies virus using the partial Nucleoprotein and Glycoprotein gene in Mumbai region of India

2021 ◽  
Author(s):  
Rajesh Raghunanth Pharande ◽  
Sharmila Badal Majee ◽  
Satish S. Gaikwad ◽  
S. D. Moregoankar ◽  
AnilKumar Bannalikar ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Rabies Virus ◽  
Evolutionary Dynamics ◽  
Recent Common Ancestor ◽  
N Gene ◽  
Evolutionary Analysis ◽  
Coalescent Analysis ◽  
Most Recent Common Ancestor ◽  
Indian Isolates ◽  
Highest Posterior Density

Nearly 1.7 million cases of dog bites are reported every year in India and many cases of animal rabies are left unattended and undiagnosed. Therefore, a mere diagnosis of rabies is not sufficient to understand the epidemiology and the spread of the rabies virus (RV) in animals. There is a paucity of information about the evolutionary dynamics of RV in dogs and its biodiversity patterns in India. In total, 50 dog-brain samples suspected of rabies were screened by the nucleoprotein- (N) and glycoprotein- (G) gene PCR. The N and G genes were subsequently sequenced to understand the molecular evolution in these genes. The phylogenetic analysis of the N gene revealed that six isolates in the Mumbai region belonged to a single Arctic lineage. Time-scaled phylogeny by Bayesian coalescent analysis of the partial N gene revealed that the time to the most recent common ancestor (TMRCA) for the sequences belonged to the cluster from 2006.68 with a highest posterior density of 95 % betweeen 2005–2008, which is assigned to Indian lineage I. Migration pattern revealed a strong Bayes factor between Mumbai to Delhi, Panji to Hyderabad, Delhi to Chennai, and Chennai to Chandigarh. Phylogenetic analysis of the G gene revealed that the RVs circulating in the Mumbai region are divided into three lineages. Time-scaled phylogeny by the Bayesian coalescent analysis method estimated that the TMRCA for sequences under study was from 1993 and Indian clusters was from 1962. In conclusion, the phylogenetic analysis of the N gene revealed that six isolates belonged to single Arctic lineages along with other Indian isolates and they were clustered into a single lineage but divided into three clades based on the G-gene sequences. The present study highlights and enhances the current molecular epidemiology and evolution of RV and revealed strong location bias and geographical clustering within Indian isolates on the basis of N and G genes.

scholarly journals THE USE OF STATISTICAL PHYLOGENETICS IN VIROLOGY

2019 ◽  
Author(s):  
Y. Vakulenko ◽  
A. Lukashev ◽  
A. Deviatkin
Keyword(s):  
Phylogenetic Analysis ◽  
Bayesian Analysis ◽  
Molecular Phylogenetics ◽  
Evolutionary Model ◽  
Amino Acid Sequences ◽  
Recent Common Ancestor ◽  
Virus Infections ◽  
H9n2 Influenza Virus ◽  
Most Recent Common Ancestor ◽  
Phylogenetic Methods

Molecular phylogenetics, and, in particular, statistical phylogenetics is widely used to solve the fundamental and applied problems of virology. Bayesian, or statistical, phylogenetic methods, which came into practice 10-15 years ago, significantly expanded the range of questions that can be answered based on the analysis of nucleotide and amino acid sequences. The ability to use different evolution models allows infering the chronology, geography and dynamics of the infection spreading. For example, analysis of a globally distributed HIV group M by Bayesian methods demonstrated with a probability of 99% that the most recent common ancestor of these viruses existed in the surroundings of the city of Kinshasa (Democratic Republic of the Congo) in the early 1920s. Another study showed that H9N2 influenza virus most likely passed on to humans from wild ducks in Hong Kong in the late 1960s. In addition, using the Bayesian analysis allows evaluating the effect of measures taken on the development of the epidemic process. For example, it was retrospectively shown that the number of hepatitis C virus infections in Egypt increased by several orders of magnitude in the middle of the twentieth century. A sharp increase is associated with the treatment for schistosomiasis using non-sterile repeatedly used syringes. A set of Bayesian analysis methods has been used in tens of thousands of publications describing various aspects of the occurrence and spread of infectious diseases in humans and animals. This was facilitated by the development and accessibility of software that implements these methods. The complexity of Bayesian phylogenetic methods imposes strict requirements on the data being analyzed. The correctness of the phylogenetic analysis results depends on various factors. For example, it is necessary to choose an evolutionary model that most adequately describes the studied objects. A mandatory step in formulating the results is the justification of the selected model. For viruses, the acquisition of genetic elements from other organisms is typical, therefore, the genomes of even closely related viruses may have non-homologous regions unsuitable for phylogenetic analysis. Another aspect is the creation of a representative dataset. All stages of the analysis sometimes are not indicated in publications, which is why obtained results can be interpreted ambiguously. The correct use of statistical phylogenetics methods in virology is possible only with an understanding of their principles, proper methods of data preparation and evolutionary models selection criteria.

scholarly journals The PhyloCode applied to Cintractiellales, a new order of smut fungi with unresolved phylogenetic relationships in the Ustilaginomycotina

2020 ◽  
Vol 6 (1) ◽  
pp. 55-64
Author(s):  
A.R. McTaggart ◽  
C.J. Prychid ◽  
J.J. Bruhl ◽  
R.G. Shivas
Keyword(s):  
Phylogenetic Analysis ◽  
Ribosomal Dna ◽  
Phylogenetic Relationships ◽  
Common Ancestor ◽  
Recent Common Ancestor ◽  
New Order ◽  
Smut Fungi ◽  
Systematic Relationship ◽  
Most Recent Common Ancestor

The PhyloCode is used to classify taxa based on their relation to a most recent common ancestor as recovered from a phylogenetic analysis. We examined the first specimen of Cintractiella (Ustilaginomycotina) collected from Australia and determined its systematic relationship to other Fungi. Three ribosomal DNA loci were analysed both with and without constraint to a phylogenomic hypothesis of the Ustilaginomycotina. Cintractiella did not share a most recent common ancestor with other orders of smut fungi. We used the PhyloCode to define the Cintractiellales, a monogeneric order with four species of Cintractiella, including C. scirpodendri sp. nov. on Scirpodendron ghaeri. The Cintractiellales may have shared a most recent common ancestor with the Malasseziomycetes, but are otherwise unresolved at the rank of class.

scholarly journals Spread dynamics of SARS-CoV-2 epidemic in China: a phylogenetic analysis

2020 ◽  
Author(s):  
Hong GuoHu ◽  
Guan Qing ◽  
Mao Qing
Keyword(s):  
Phylogenetic Analysis ◽  
Population Size ◽  
Control Measures ◽  
Viral Population ◽  
Recent Common Ancestor ◽  
Effective Measure ◽  
Most Recent Common Ancestor ◽  
Geographic Spread ◽  
Spread Dynamics ◽  
The Impact

AbstractBackgroundSince December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic and infected millions of people. As the first country proclaimed the SARS-CoV-2 outbreak, China implemented travel ban measure, and curbed the epidemic quickly. We performed a phylogenetic analysis to reveal the spread dynamics detail of SARS-CoV-2 in China and the impact of travel ban on SARS-CoV-2.MethodFocusing on SARS-CoV-2 sequences collected from China in public database released as of March 31, 2020, we performed a Bayesian inference phylogenetic analyses to estimate the effective population size (Ne) curve of SARS-CoV-2 epidemic. Furthermore, we displayed the geographic spread mode of SARS-CoV-2 among different China regions by using Bayesian stochastic search variable selection (BSSVS) method.ResultsThe most recent common ancestor (tMRCA) of SARS-CoV-2 in China was traced back to December 9, 2019. According the Ne estimation and geographic spread reconstruction, January 25, 2020 was considered as the crucial time point during the SARS-CoV-2 epidemic in China,which was 2 days after the travel ban implemented. On the point, the tendency of viral population size changed from ascending to decreasing, and the cross-regional spread paths were blocked.ConclusionsTravel ban is an effective measure to intervene in the spread of SARS-CoV-2, It is necessary to continue efforts in research for prevention and control measures.

scholarly journals Allelic Genealogies in Sporophytic Self-Incompatibility Systems in Plants

Genetics ◽  
1998 ◽  
Vol 150 (3) ◽  
pp. 1187-1198 ◽  
Author(s):  
Mikkel H Schierup ◽  
Xavier Vekemans ◽  
Freddy B Christiansen
Keyword(s):  
Dominance Hierarchy ◽  
Common Ancestor ◽  
Recent Common Ancestor ◽  
Self Incompatibility ◽  
Most Recent Common Ancestor ◽  
Dominance Interactions ◽  
Turnover Process ◽  
Neutral Gene ◽  
Interspecific Comparisons ◽  
Coalescence Times

Abstract Expectations for the time scale and structure of allelic genealogies in finite populations are formed under three models of sporophytic self-incompatibility. The models differ in the dominance interactions among the alleles that determine the self-incompatibility phenotype: In the SSIcod model, alleles act codominantly in both pollen and style, in the SSIdom model, alleles form a dominance hierarchy, and in SSIdomcod, alleles are codominant in the style and show a dominance hierarchy in the pollen. Coalescence times of alleles rarely differ more than threefold from those under gametophytic self-incompatibility, and transspecific polymorphism is therefore expected to be equally common. The previously reported directional turnover process of alleles in the SSIdomcod model results in coalescence times lower and substitution rates higher than those in the other models. The SSIdom model assumes strong asymmetries in allelic action, and the most recessive extant allele is likely to be the most recent common ancestor. Despite these asymmetries, the expected shape of the allele genealogies does not deviate markedly from the shape of a neutral gene genealogy. The application of the results to sequence surveys of alleles, including interspecific comparisons, is discussed.

scholarly journals Molecular epidemiological characteristics of echovirus 6 in mainland China: extensive circulation of genotype F from 2007 to 2018

2021 ◽  
Author(s):  
Wenjun Cheng ◽  
Tianjiao Ji ◽  
Shuaifeng Zhou ◽  
Yong Shi ◽  
Lili Jiang ◽  
...  
Keyword(s):  
Common Ancestor ◽  
Mainland China ◽  
Recent Common Ancestor ◽  
Genetic Characteristics ◽  
Most Recent Common Ancestor ◽  
Significant Difference ◽  
Echovirus 6 ◽  
Epidemiological Characteristics ◽  
Highest Posterior Density ◽  
Genotype F

AbstractEchovirus 6 (E6) is associated with various clinical diseases and is frequently detected in environmental sewage. Despite its high prevalence in humans and the environment, little is known about its molecular phylogeography in mainland China. In this study, 114 of 21,539 (0.53%) clinical specimens from hand, foot, and mouth disease (HFMD) cases collected between 2007 and 2018 were positive for E6. The complete VP1 sequences of 87 representative E6 strains, including 24 strains from this study, were used to investigate the evolutionary genetic characteristics and geographical spread of E6 strains. Phylogenetic analysis based on VP1 nucleotide sequence divergence showed that, globally, E6 strains can be grouped into six genotypes, designated A to F. Chinese E6 strains collected between 1988 and 2018 were found to belong to genotypes C, E, and F, with genotype F being predominant from 2007 to 2018. There was no significant difference in the geographical distribution of each genotype. The evolutionary rate of E6 was estimated to be 3.631 × 10-3 substitutions site-1 year-1 (95% highest posterior density [HPD]: 3.2406 × 10-3-4.031 × 10-3 substitutions site-1 year-1) by Bayesian MCMC analysis. The most recent common ancestor of the E6 genotypes was traced back to 1863, whereas their common ancestor in China was traced back to around 1962. A small genetic shift was detected in the Chinese E6 population size in 2009 according to Bayesian skyline analysis, which indicated that there might have been an epidemic around that year.

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