Features of smaller ribosomes in Candidate Phyla Radiation (CPR) bacteria revealed with a molecular evolutionary analysis

The Candidate Phyla Radiation (CPR) is a large bacterial group consisting mainly of uncultured lineages. They have small cells and small genomes, and often lack ribosomal proteins L1, L9, and/or L30, which are basically ubiquitous in ordinary (non-CPR) bacteria. Here, we comprehensively analyzed the genomic information of CPR bacteria and identified their unique properties. In the distribution of protein lengths in CPR bacteria, the peak was at around 100–150 amino acids, whereas the position of the peak varies in the range of 100–300 amino acids in free-living non-CPR bacteria, and at around 100–200 amino acids in most symbiotic non-CPR bacteria. These results show that CPR bacteria have smaller proteins on average, like symbiotic non-CPR bacteria. We found that ribosomal proteins L28, L29, L32, and L33 are also deleted in CPR bacteria, in a lineage-specific manner. Moreover, the sequences of approximately half of all ribosomal proteins in CPR differ, in part, from those of non-CPR bacteria, with missing regions or specific added region. We also found that several regions of the 16S, 23S, and 5S rRNAs are lacking in CPR bacteria and that the total predicted length of the three rRNAs in CPR bacteria is smaller than that in non-CPR bacteria. The regions missing in the CPR ribosomal proteins and rRNAs are located near the surface of the ribosome, and some are close to one another. These observations suggest that ribosomes are smaller in CPR bacteria than in free-living non-CPR bacteria, with simplified surface structures.

Phylogenetic and molecular evolutionary analysis of SENV DNA isolated from Iraqi Hepatitis Patients

SEN Virus (SENV) is a newly discovered group of transmissible, hepatotropic, single-stranded, circular, non-enveloped DNA viruses that are distantly linked to the widely distributed Torque Teno Virus (TTV) family. This research aimed to use nucleotide sequencing to identify the genetic alterations of SEN-V and to investigate the similarities between isolates. Seven DNA samples of SENV, which were previously extracted from blood of post transfusion hepatitis, were used to identify the genetic variation of SEN-V by nucleotide sequencing. According to the current analysis results, specific primer pairs were used to detect SENV DNA sequences isolated from Iraqi patients with hepatitis; however, those specific primers can also detect two new variants of SENV that are closely related to the Torque Teno Virus. In addition, four SENV isolates showed several substitution mutations, and one of them revealed the replacement of Proline (P) at position 11 with Serine (S). Only one local isolate of SENV was 100% identical to the Iranian isolate (GenBank acc. no. GQ452051.1) from thalassemia.

A Combined Morphological and Molecular Evolutionary Analysis of Karst-Environment Adaptation for the Genus Urophysa (Ranunculaceae)

The karst environment is characterized by low soil water content, periodic water deficiency, and poor nutrient availability, which provides an ideal natural laboratory for studying the adaptive evolution of its inhabitants. However, how species adapt to such a special karst environment remains poorly understood. Here, transcriptome sequences of two Urophysa species (Urophysa rockii and Urophysa henryi), which are Chinese endemics with karst-specific distribution, and allied species in Semiaquilegia and Aquilegia (living in non-karst habitat) were collected. Single-copy genes (SCGs) were extracted to perform the phylogenetic analysis using concatenation and coalescent methods. Positively selected genes (PSGs) and clusters of paralogous genes (Mul_genes) were detected and subsequently used to conduct gene function annotation. We filtered 2,271 SCGs and the coalescent analysis revealed that 1,930 SCGs shared the same tree topology, which was consistent with the topology detected from the concatenated tree. Total of 335 PSGs and 243 Mul_genes were detected, and many were enriched in stress and stimulus resistance, transmembrane transport, cellular ion homeostasis, calcium ion transport, calcium signaling regulation, and water retention. Both molecular and morphological evidences indicated that Urophysa species evolved complex strategies for adapting to hostile karst environments. Our findings will contribute to a new understanding of genetic and phenotypic adaptive mechanisms of karst adaptation in plants.

Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts

The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. Based on molecular evolutionary analysis of the S protein, we found a significant correspondence in the location of amino acid substitutions between SARS-CoV-2 variants recently emerging and their relatives that infected bat and pangolin before the pandemic. This observation suggests that a limited number of sites in this protein are repeatedly substituted in different lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary mechanism behind these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2.

Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts

The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. Based on molecular evolutionary analysis of the S protein, we found a significant correspondence in the location of amino acid substitutions between SARS-CoV-2 variants recently emerging and their relatives that infected bat and pangolin before the pandemic. This observation suggests that a limited number of sites in this protein are repeatedly substituted in different lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary mechanism behind these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2.

A simple method for predicting emerging SARS-CoV-2 variants using outgroups infecting non-human hosts

The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. Based on molecular evolutionary analysis of S protein, we found a significant correspondence in the location of amino acid substitutions between SARS-CoV-2 variants recently emerging and their relatives that infected bat and pangolin before the pandemic. This observation suggests that a limited number of sites in this protein are repeatedly substituted in independent lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary mechanism behind these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2.

A Phylogenomic and Evolutionary Perspectives of COVID-19

From the time immemorial, all drastic pandemics and associated pathogens have been under the spotlight of research in our attempts to identify, characterise, control and trace back their origin. Quite often such attempts have enabled mankind to find effective solutions to overcome such pathogen outbreaks and turn them to pages of history. In the wake of repeated infections in different corners of the world, its quite essential to evaluate if they are the cruel aftermaths of nature or any manmade error. In such as scenario, recent developments in the molecular evolutionary analysis offer us more information in-depth regarding the virus emergence, molecular epidemiology, virulence and evolutionary concepts, adding to the conventional strategies in viral epidemiology. The nucleotide sequences were retrieved from NCBI. The present study revealed the genetic variability of CoV, 2019-nCoV against previously reported corona viruses. Moreover, the genetic variability of COVID-19 from different affected corners of the globe are evaluated to get a better understanding of their modes and routes of spread across our planet.Such nucleotide sequence-analyzed information gathered from this investigation will definitely assist the intention and implementation of effective pandemic control measures.

The Location of Substitutions and Bacterial Genome Arrangements

Increasing evidence supports the notion that different regions of a genome have unique rates of molecular change. This variation is particularly evident in bacterial genomes where previous studies have reported gene expression and essentiality tend to decrease, while substitution rates usually increases with increasing distance from the origin of replication. Genomic reorganization such as rearrangements occur frequently in bacteria and allow for the introduction and restructuring of genetic content, creating gradients of molecular traits along genomes. Here, we explore the interplay of these phenomena by mapping substitutions to the genomes of Escherichia coli, Bacillus subtilis, Streptomyces, and Sinorhizobium meliloti, quantifying how many substitutions have occurred at each position in the genome. Preceding work indicates that substitution rate significantly increases with distance from the origin. Using a larger sample size and accounting for genome rearrangements through ancestral reconstruction, our analysis demonstrates that the correlation between the number of substitutions and distance from the origin of replication is often significant but small and inconsistent in direction. Some replicons had a significantly decreasing trend (E. coli and the chromosome of S. meliloti), while others showed the opposite significant trend (B. subtilis, Streptomyces, pSymA and pSymB in S. meliloti). dN, dS and ω were examined across all genes and there was no significant correlation between those values and distance from the origin. This study highlights the impact that genomic rearrangements and location have on molecular trends in some bacteria, illustrating the importance of considering spatial trends in molecular evolutionary analysis. Assuming that molecular trends are exclusively in one direction can be problematic.

COI and ND1 as DNA barcodes to identify Taenia hydatigena (Cestoda: Taeniidae) from canine small intestine on Hainan Island in China

DNA barcoding based on universal gene markers is a fast, accurate, and innovative approach for the molecular discrimination of species. Some species are particularly difficult to discriminate using a traditional morphological identification method because of severely damaged morphological features. In this study, cytochrome c oxidase subunit I (COI) and NADH dehydrogenase subunit 1 (ND1) were used as barcoding markers to distinguish Taenia hydatigena in dogs on the tropical island of Hainan. Therefore, geographic differentiation based on the COI and ND1 sequences amongst the specimens and other geographic isolates in GenBank was determined by calculating the genetic distances according to the Kimura 2-parameter (K2P) model and constructing a phylogenetic tree using the neighbour-joining (NJ) method. Barcoding gap, base composition, and base saturation were tested to assess the effectiveness of the barcoding marker COI and ND1 genes for specimen identification. In addition, we analysed the barcoding gap and saturation and performed molecular evolutionary analysis of the intraspecies and interspecies diversity of Taenia.