Strong Positive Selection Pressure Research Articles

Sequence signatures within the genome of SARS-CoV-2 can be used to predict host source.

We conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained transmission within these hosts. Classification models trained on single nucleotide and amino acid differences between samples effectively identified white-tailed deer-, human-, and mink-derived SARS-CoV-2. For example, the balanced accuracy score of Extremely Randomized Trees classifiers was 0.984 ± 0.006. Eighty-eight commonly identified predictive mutations are found at sites under strong positive and negative selective pressure. A large fraction of sites under selection (86.9%) or identified by machine learning (87.1%) are found in genes other than the spike. Some locations encoded by these gene regions are predicted to be B- and T-cell epitopes or are implicated in modulating the immune response suggesting that host adaptation may involve the evasion of the host immune system, modulation of the class-I major-histocompatibility complex, and the diminished recognition of immune epitopes by CD8+ T cells. Our selection and machine learning analysis also identified that silent mutations, such as C7303T and C9430T, play an important role in discriminating deer-derived samples across multiple clades. Finally, our investigation into the origin of the B.1.641 lineage from white-tailed deer in Canada discovered an additional human sequence from Michigan related to the B.1.641 lineage sampled near the emergence of this lineage. These findings demonstrate that machine-learning approaches can be used in combination with evolutionary genomics to identify factors possibly involved in the cross-species transmission of viruses and the emergence of novel viral lineages.IMPORTANCESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus capable of infecting and establishing itself in human and wildlife populations, such as white-tailed deer. This fact highlights the importance of developing novel ways to identify genetic factors that contribute to its spread and adaptation to new host species. This is especially important since these populations can serve as reservoirs that potentially facilitate the re-introduction of new variants into human populations. In this study, we apply machine learning and phylogenetic methods to uncover biomarkers of SARS-CoV-2 adaptation in mink and white-tailed deer. We find evidence demonstrating that both non-synonymous and silent mutations can be used to differentiate animal-derived sequences from human-derived ones and each other. This evidence also suggests that host adaptation involves the evasion of the immune system and the suppression of antigen presentation. Finally, the methods developed here are general and can be used to investigate host adaptation in viruses other than SARS-CoV-2.

Whole genome resequencing reveals significant genetic differentiation between Exserohilum turcicum populations from maize and sorghum and candidate effector genes related to host specificity (Retracted).

After the manuscript was accepted, inconsistencies in the analyses were detected. These inconsistencies affected the general conclusion of the manuscript. This article was retracted on 27 March 2024.Exserohilum turcicum is a devastating fungal pathogen that infects both maize and sorghum, leading to severe leaf diseases of the two crops. According to host specificity, pathogenic isolates of E. turcicum are divided into two formae speciales, namely E. turcicum f. sp. zeae and E. turcicum f. sp. sorghi. To date, the molecular mechanism underlying the host specificity of E. turcicum is marginally known. In this study, the whole genomes of 60 E. turcicum isolates collected from both maize and sorghum were resequenced, which enabled identification of 147,847 high-quality SNPs in total. Based on the SNPs, all isolates were clustered into four genetic groups that had a close relationship with host source. This observation was validated by the result of principal component analysis. The analysis of population structure revealed that there was obvious genetic differentiation between maize and sorghum host populations. Further analysis showed that 5,431 SNPs, including 612 nonsynonymous SNPs, were completely co-segregated with host source. These nonsynonymous SNPs were located in 539 genes in which 18 genes were predicted to encode secretory proteins, including six putative effector genes. The sequence polymorphism analysis of the six effector genes in 60 isolates indicated that these genes were perfectly co-segregated with host source. All SNVs in the coding regions of these genes were non-synonymous substitutions, suggesting that these genes were subject to strong positive selection pressure. These findings provide new insights into the molecular basis of host specificity in E. turcicum.

Absence of the Z-disc protein α-actinin-3 impairs the mechanical stability of Actn3KO mouse fast-twitch muscle fibres without altering their contractile properties or twitch kinetics

BackgroundA common polymorphism (R577X) in the ACTN3 gene results in the complete absence of the Z-disc protein α-actinin-3 from fast-twitch muscle fibres in ~ 16% of the world’s population. This single gene polymorphism has been subject to strong positive selection pressure during recent human evolution. Previously, using an Actn3KO mouse model, we have shown in fast-twitch muscles, eccentric contractions at L0 + 20% stretch did not cause eccentric damage. In contrast, L0 + 30% stretch produced a significant ~ 40% deficit in maximum force; here, we use isolated single fast-twitch skeletal muscle fibres from the Actn3KO mouse to investigate the mechanism underlying this.MethodsSingle fast-twitch fibres are separated from the intact muscle by a collagenase digest procedure. We use label-free second harmonic generation (SHG) imaging, ultra-fast video microscopy and skinned fibre measurements from our MyoRobot automated biomechatronics system to study the morphology, visco-elasticity, force production and mechanical strength of single fibres from the Actn3KO mouse. Data are presented as means ± SD and tested for significance using ANOVA.ResultsWe show that the absence of α-actinin-3 does not affect the visco-elastic properties or myofibrillar force production. Eccentric contractions demonstrated that chemically skinned Actn3KO fibres are mechanically weaker being prone to breakage when eccentrically stretched. Furthermore, SHG images reveal disruptions in the myofibrillar alignment of Actn3KO fast-twitch fibres with an increase in Y-shaped myofibrillar branching.ConclusionsThe absence of α-actinin-3 from the Z-disc in fast-twitch fibres disrupts the organisation of the myofibrillar proteins, leading to structural weakness. This provides a mechanistic explanation for our earlier findings that in vitro intact Actn3KO fast-twitch muscles are significantly damaged by L0 + 30%, but not L0 + 20%, eccentric contraction strains. Our study also provides a possible mechanistic explanation as to why α-actinin-3-deficient humans have been reported to have a faster decline in muscle function with increasing age, that is, as sarcopenia reduces muscle mass and force output, the eccentric stress on the remaining functional α-actinin-3 deficient fibres will be increased, resulting in fibre breakages.

SNPPar: identifying convergent evolution and other homoplasies from microbial whole-genome alignments.

Homoplasic SNPs are considered important signatures of strong (positive) selective pressure, and hence of adaptive evolution for clinically relevant traits such as antibiotic resistance and virulence. Here we present a new tool, SNPPar, for efficient detection and analysis of homoplasic SNPs from large whole genome sequencing datasets (>1000 isolates and/or >100 000 SNPs). SNPPar takes as input an SNP alignment, tree and annotated reference genome, and uses a combination of simple monophyly tests and ancestral state reconstruction (ASR, via TreeTime) to assign mutation events to branches and identify homoplasies. Mutations are annotated at the level of codon and gene, to facilitate analysis of convergent evolution. Testing on simulated data (120 Mycobacterium tuberculosis alignments representing local and global samples) showed SNPPar can detect homoplasic SNPs with very high specificity (zero false-positives in all tests) and high sensitivity (zero false-negatives in 89 % of tests). SNPPar analysis of three empirically sampled datasets ( Elizabethkingia anophelis , Burkholderia dolosa and M. tuberculosis ) produced results that were in concordance with previous studies, in terms of both individual homoplasies and evidence of convergence at the codon and gene levels. SNPPar analysis of a simulated alignment of ~64 000 genome-wide SNPs from 2000 M. tuberculosis genomes took ~23 min and ~2.6 GB of RAM to generate complete annotated results on a laptop. This analysis required ASR be conducted for only 1.25 % of SNPs, and the ASR step took ~23 s and 0.4 GB of RAM. SNPPar automates the detection and annotation of homoplasic SNPs efficiently and accurately from large SNP alignments. As demonstrated by the examples included here, this information can be readily used to explore the role of homoplasy in parallel and/or convergent evolution at the level of nucleotide, codon and/or gene.

Virulence effector SidJ evolution in Legionella pneumophila is driven by positive selection and intragenic recombination.

Effector proteins translocated by the Dot/Icm type IV secretion system determine the virulence of Legionella pneumophila (L. pneumophila). Among these effectors, members of the SidE family (SidEs) regulate several cellular processes through a unique phosphoribosyl ubiquitination mechanism mediated by another effector, SidJ. Host-cell calmodulin (CaM) activates SidJ to glutamylate the SidEs of ubiquitin (Ub) ligases and to make a balanced Ub ligase activity. Given the central role of SidJ in this regulatory process, studying the nature of evolution of sidJ is important to understand the virulence of L. pneumophila and the interaction between the bacteria and its hosts. By studying sidJ from a large number of L. pneumophila strains and using various molecular evolution algorithms, we demonstrated that intragenic recombination drove the evolution of sidJ and contributed to sidJ diversification. Additionally, we showed that four codons of sidJ which are located in the N-terminal (NTD) (codons 58 and 200) and C-terminal (CTD) (codons 868 and 869) domains, but not in the kinase domain (KD) had been subjected to strong positive selection pressure, and variable mutation profiles of these codons were identified. Protein structural modeling of SidJ provided possible explanations for these mutations. Codons 868 and 869 mutations might engage in regulating the interactions of SidJ with CaM through hydrogen bonds and affect the CaM docking to SidJ. Mutation in codon 58 of SidJ might affect the distribution of main-chain atoms that are associated with the interaction with CaM. In contrast, mutations in codon 200 might influence the α-helix stability in the NTD. These mutations might be important to balance Ub ligase activity for different L. pneumophila hosts. This study first reported that intragenic recombination and positive Darwinian selection both shaped the genetic plasticity of sidJ, contributing to a deeper understanding of the adaptive mechanisms of this intracellular bacterium to different hosts.

Dynamic differential evolution schemes of WRKY transcription factors in domesticated and wild rice

WRKY transcription factors play key roles in stress responses, growth, and development. We previously reported on the evolution of WRKYs from unicellular green algae to land plants. To address recent evolution events, we studied three domesticated and eight wild species in the genus Oryza, an ideal model due to its long history of domestication, economic importance, and central role as a model system. We have identified prevalence of Group III WRKYs despite differences in breeding of cultivated and wild species. Same groups of WRKY genes tend to cluster together, suggesting recent, multiple duplication events. Duplications followed by divergence may result in neofunctionalizations of co-expressed WRKY genes that finely tune the regulation of target genes in a same metabolic or response pathway. WRKY genes have undergone recent rearrangements to form novel genes. Group Ib WRKYs, unique to AA genome type Oryza species, are derived from Group III genes dated back to 6.76 million years ago. Gene tree reconciliation analysis with the species tree revealed details of duplication and loss events in the 11 genomes. Selection analysis on single copy orthologs reveals the highly conserved nature of the WRKY domain and clusters of fast evolving sites under strong positive selection pressure. Also, the numbers of single copy orthologs under positive or negative selection almost evenly split. Our results provide valuable insights into the preservation and diversification of an important gene family under strong selective pressure for biotechnological improvements of the world’s most valued food crop.

Phylogenomics Analysis of SARS-CoV2 Genomes Reveals Distinct Selection Pressure on Different Viral Strains.

We are witnessing a tremendous outbreak of a novel coronavirus (SARS-CoV2) across the globe. Upon exposure to different population and changing environment, the viral strain might experience different mutational bias that leads to genetic diversity among the viral population. Also, the diversification can be influenced by distinct selection pressure on different viral genomes. We have carried out a comparative genomic analysis of 82 SARS-CoV2 genomes. We have evaluated their evolutionary divergence, substitution pattern, and rates. Viral genomes under distinct selection pressure have been identified. Sites that experience strong selection pressure also have been identified. Our result shows that the translational preference of a few codons is strongly correlated with the mutational bias imposed by genome compositional constraint and influenced by natural selection. Few genomes are evolving with a higher mutational rate with a distinct signature of nucleotide substitution in comparison to others. Four viral strains are under the effect of purifying selection, while nine SARS-CoV2 genomes are under strong positive selection bias. Site analysis indicates a strong positive selection pressure on two codon positions at 3606th and 8439th positions. Our study elucidates adaptation of few SARS-CoV2 viral strain during the outbreak shaping by natural selection and genomic compositional constraints.

Evolutionary compromises in fungal fitness: hydrophobins can hinder the adverse dispersal of conidiospores and challenge their survival

Fungal evolutionary biology is impeded by the scarcity of fossils, irregular life cycles, immortality, and frequent asexual reproduction. Simple and diminutive bodies of fungi develop inside a substrate and have exceptional metabolic and ecological plasticity, which hinders species delimitation. However, the unique fungal traits can shed light on evolutionary forces that shape the environmental adaptations of these taxa. Higher filamentous fungi that disperse through aerial spores produce amphiphilic and highly surface-active proteins called hydrophobins (HFBs), which coat spores and mediate environmental interactions. We exploited a library of HFB-deficient mutants for two cryptic species of mycoparasitic and saprotrophic fungi from the genus Trichoderma (Hypocreales) and estimated fungal development, reproductive potential, and stress resistance. HFB4 and HFB10 were found to be relevant for Trichoderma fitness because they could impact the spore-mediated dispersal processes and control other fitness traits. An analysis in silico revealed purifying selection for all cases except for HFB4 from T. harzianum, which evolved under strong positive selection pressure. Interestingly, the deletion of the hfb4 gene in T. harzianum considerably increased its fitness-related traits. Conversely, the deletion of hfb4 in T. guizhouense led to the characteristic phenotypes associated with relatively low fitness. The net contribution of the hfb4 gene to fitness was found to result from evolutionary tradeoffs between individual traits. Our analysis of HFB-dependent fitness traits has provided an evolutionary snapshot of the selective pressures and speciation process in closely related fungal species.

Multicentric origin and diversification of atp6-orf79-like structures reveal mitochondrial gene flows in Oryza rufipogon and Oryza sativa.

Cytoplasmic male sterility (CMS) is a widely used genetic tool in modern hybrid rice breeding. Most genes conferring rice gametophytic CMS are homologous to orf79 and co‐transcribe with atp6. However, the origin, differentiation and flow of these mitochondrial genes in wild and cultivated rice species remain unclear. In this study, we performed de novo assembly of the mitochondrial genomes of 221 common wild rice (Oryza rufipogon Griff.) and 369 Asian cultivated rice (Oryza sativa L.) accessions, and identified 16 haplotypes of atp6‐orf79‐like structures and 11 orf79 alleles. These homologous structures were classified into 4 distinct groups (AO‐I, AO‐II, AO‐III and AO‐IV), all of which were observed in O. rufipogon but only AO‐I was detected in O. sativa, causing a decrease in the frequency of atp6‐orf79‐like structures from 19.9% to 8.1%. Phylogenetic and biogeographic analyses revealed that the different groups of these gametophytic CMS‐related genes in O. rufipogon evolved in a multicentric pattern. The geographical origin of the atp6‐orf79‐like structures was further traced back, and a candidate region in north‐east of Gangetic Plain on the Indian Peninsula (South Asia) was identified as the origin centre of AO‐I. The orf79 alleles were detected in all three cytoplasmic types (Or‐CT0, Or‐CT1 and Or‐CT2) of O. rufipogon, but only two alleles (orf79a and orf79b) were observed in Or‐CT0 type of O. sativa, while no orf79 allele was found in other types of O. sativa. Our results also revealed that the orf79 alleles in cultivated rice originated from the wild rice population in South and South‐East Asia. In addition, strong positive selection pressure was detected on the sequence variations of orf79 alleles, and a special evolutionary strategy was noted in these gametophytic CMS‐related genes, suggesting that their divergence could be beneficial to their survival in evolution.

Bioinformatic Detection of Positive Selection Pressure in Plant Pathogens: The Neutral Theory of Molecular Sequence Evolution in Action.

The genomes of plant pathogenic fungi and oomycetes are often exposed to strong positive selection pressure. During speciation, shifts in host range and preference can lead to major adaptive changes. Furthermore, evolution of total host resistance to most isolates can force rapid evolutionary changes in host-specific pathogens. Crop pathogens are subjected to particularly intense selective pressures from monocultures and fungicides. Detection of the footprints of positive selection in plant pathogen genomes is a worthwhile endeavor as it aids understanding of the fundamental biology of these important organisms. There are two main classes of test for detection of positively selected alleles. Tests based on the ratio of non-synonymous to synonymous substitutions per site detect the footprints of multiple fixation events between divergent lineages. Thus, they are well-suited to the study of ancient adaptation events spanning speciations. On the other hand, tests that scan genomes for local fluctuations in allelic diversity within populations are suitable for detection of recent positive selection in populations. In this review, I briefly describe some of the more widely used tests of positive selection and the theory underlying them. I then discuss various examples of their application to plant pathogen genomes, emphasizing the types of genes that are associated with signatures of positive selection. I conclude with a discussion of the practicality of such tests for identification of pathogen genes of interest and the important features of pathogen ecology that must be taken into account for accurate interpretation.

Low Evolutionary Selection Pressure in Senescence Does Not Explain the Persistence of Aβ in the Vertebrate Genome.

The argument is frequently made that the amyloid-β protein (Aβ) persists in the human genome because Alzheimer’s disease (AD) primarily afflicts individuals over reproductive age and, therefore, there is low selective pressure for the peptide’s elimination or modification. This argument is an important premise for AD amyloidosis models and therapeutic strategies that characterize Aβ as a functionless and intrinsically pathological protein. Here, we review if evolutionary theory and data on the genetics and biology of Aβ are consistent with low selective pressure for the peptide’s expression in senescence. Aβ is an ancient neuropeptide expressed across vertebrates. Consistent with unusually high evolutionary selection constraint, the human Aβ sequence is shared by a majority of vertebrate species and has been conserved across at least 400 million years. Unlike humans, the overwhelming majority of vertebrate species do not cease reproduction in senescence and selection pressure is maintained into old age. Hence, low selective pressure in senescence does not explain the persistence of Aβ across the vertebrate genome. The “Grandmother hypothesis” (GMH) is the prevailing model explaining the unusual extended postfertile period of humans. In the GMH, high risk associated with birthing in old age has lead to early cessation of reproduction and a shift to intergenerational care of descendants. The rechanneling of resources to grandchildren by postreproductive individuals increases reproductive success of descendants. In the GMH model, selection pressure does not end following menopause. Thus, evolutionary models and phylogenetic data are not consistent with the absence of reproductive selection pressure for Aβ among aged vertebrates, including humans. Our analysis suggests an alternative evolutionary model for the persistence of Aβ in the vertebrate genome. Aβ has recently been identified as an antimicrobial effector molecule of innate immunity. High conservation across the Chordata phylum is consistent with strong positive selection pressure driving human Aβ’s remarkable evolutionary longevity. Ancient origins and widespread conservation suggest the human Aβ sequence is highly optimized for its immune role. We detail our analysis and discuss how the emerging “Antimicrobial Protection Hypothesis” of AD may provide insights into possible evolutionary roles for Aβ in infection, aging, and disease etiology.

Evolution of methicillin-resistant Staphylococcus aureus: Evidence of positive selection in a penicillin-binding protein (PBP) 2a coding gene mecA

Methicillin-resistant Staphylococcus aureus (S. aureus) (MRSA) represents more and more S. aureus infections. MecA, the novel coding gene of penicillin-binding protein (PBP) 2a of MRSA, is the key resistance factor of β-lactam, but little is known about the evolution of this gene. Given the crucial role of mecA in S. aureus physiology and β-lactam resistance, the selective forces may contribute to adaptation of the bacteria to the special environments such as its host or antibiotics. To understand the evolution of this gene, we screened GenBank database and analyzed mecA of 249 S. aureus strains. Twenty-nine unique alleles with 26 unique amino acid sequences were identified. Phylogenetic analysis showed three main groups of mecA in the global S. aureus strains. Analysis of these alleles using codon-substitution models (M8, M3, and M2a) and likelihood ratio tests (LRTs) of the codeML package and a random-effects likelihood (REL) method of HyPhy package for the site-specific ratio of nonsynonymous to synonymous substitution rates suggested that fourteen sites in the allosteric domain of PBP2a have been subjected to strong positive selection pressure. Mutations of two positive selection sites (N146K and E239K) were reported to be essential for ceftaroline- or L-695, 256-resistant. Further study indicated that the positive selection pressure might be more likely related to the host's inflammatory or immune response during S. aureus infection. Our studies provide the first evidence of positive Darwinian selection in the mecA of S. aureus, contributing to a better understanding of the adaptive mechanism of this bacterium.

Ancient DNA Investigation of a Medieval German Cemetery Confirms Long-Term Stability of CCR5-Δ32 Allele Frequencies in Central Europe.

The CCR5-Δ32 mutation present in European populations is among the most prominently debated cases of recent positive selection in humans. This allele, a 32-bp deletion that renders the T-cell CCR5 receptor nonfunctional, has important epidemiological and public health significance, as homozygous carriers are resistant to several HIV strains. However, although the function of this allele in preventing HIV infection is now well described, its human evolutionary origin is poorly understood. Initial attempts to determine the emergence of the CCR5-Δ32 allele pointed to selection during the 14th-century Black Death pandemic; however, subsequent analyses suggest that the allele rose in frequency more than 5,000 years ago, possibly through drift. Recently, three studies have identified populations predating the 14th century CE that are positive for the CCR5-Δ32 allele, supporting the claim for a more ancient origin. However, these studies also suggest poorly understood regional differences in the recent evolutionary history of the CCR5-Δ32 allele. Here a new hydrolysis-probe-based real-time PCR assay was designed to ascertain CCR5 allele frequency in 53 individuals from a 10th- to 12th-century CE church and convent complex in central Germany that predates outbreaks of the Black Death pandemic. High-confidence genotypes were obtained for 32 individuals, and results show that CCR5-Δ32 allele frequency has remained unchanged in this region of Central Europe over the last millennium, suggesting that there has been no strong positive selective pressure over this time period and confirming a more ancient origin for the allele.

Life History of the Oldest Lentivirus: Characterization of ELVgv Integrations in the Dermopteran Genome.

Endogenous retroviruses are genomic elements formed by germline infiltration by originally exogenous viruses. These molecular fossils provide valuable information about the evolution of the retroviral family. Lentiviruses are an extensively studied genus of retroviruses infecting a broad range of mammals. Despite a wealth of information on their modern evolution, little is known about their origins. This is partially due to the scarcity of their endogenous forms. Recently, an endogenous lentivirus, ELVgv, was discovered in the genome of the Malayan colugo (order Dermoptera). This represents the oldest lentiviral evidence available and promises to lead to further insights into the history of this genus. In this study, we analyzed ELVgv integrations at several genomic locations in four distinct colugo specimens covering all the extant dermopteran species. We confirmed ELVgv integrations in all the specimens examined, which implies that the virus originated before the dermopteran diversification. Using a locus-specific dermopteran substitution rate, we estimated that the proviral integrations occurred 21-40 Ma. Using phylogenetic analysis, we estimated that ELVgv invaded an ancestor of today's Dermoptera in an even more distant past. We also provide evidence of selective pressure on the TRIM5 antiviral restriction factor, something usually taken as indirect evidence of past retroviral infections. Interestingly, we show that TRIM5 was under strong positive selection pressure only in the common dermopteran ancestor, where the ELVgv endogenization occurred. Further experiments are required to determine whether ELVgv participated in the TRIM5 selection.

Single amino acid substitution (G42E) in the receptor binding domain of mouse mammary tumour virus envelope protein facilitates infection of non-murine cells in a transferrin receptor 1-independent manner.

BackgroundMouse mammary tumour virus (MMTV) is a betaretrovirus that infects rodent cells and uses mouse tranferrin receptor 1 (TfR1) for cell entry. Several MMTV strains have been shown to productively infect, in addition to murine cells, various heterologous cell lines including those of human origin, albeit less efficiently than murine cells. Furthermore, there have been reports that the continued passage of MMTV in heterologous cell lines gives rise to novel variants that are able to infect naive non-murine cells with higher efficiency than the parental virus.ResultsWe show that MMTV(C3H), like other MMTV strains, that had undergone a number of replication cycles in non-murine cells displayed an increased replication kinetic, as compared to parental virus, when applied on naive human cells. Sequence analysis of several replication kinetic variants and the parental virus, together with calculation of the ratio of non-synonymous to synonymous mutations at individual codons, revealed that several regions within the viral genome were under strong positive selection pressure during viral replication in human cells. The mutation responsible, at least in part, for the phenotypic change was subsequently mapped to the segment of env encoding the receptor binding site (F40HGFR44). Introduction of the identified mutation, leading to single amino acid substitution (G42E), into egfp-containing recombinant MMTV virions enhanced their ability to bind to and infect human cells. Interestingly, neither the replication kinetic mutant nor the parental virus required human TfR1 for infection. Knock-out of TFR1 gene from the human genome did not decrease the susceptibility of Hs578T cells to virus infection. Furthermore, the expression of human TfR1, in contrast to mouse TfR1, did not enhance the susceptibility of MMTV-resistant Chinese hamster ovary cells. Thus, human TfR1 is dispensable for infection and another cell surface molecule mediates the MMTV entry into human cells.ConclusionTaken together, our data explain the mechanism enabling MMTV to form ‘host-range variants’ in non-murine cells that has been known for a long time, the basis of which remained obscure. Our findings may expand our understanding of how viruses gain capability to cross species-specific barriers to infect new hosts.Electronic supplementary materialThe online version of this article (doi:10.1186/s12977-015-0168-2) contains supplementary material, which is available to authorized users.

Role of microorganisms present in dairy fermented products in health and disease.

Role of microorganisms present in dairy fermented products in health and disease.

Natural Selection and Genetic Drift: Neutral and adaptive genetic variability of hatchery versus wild populations in brown trout Salmo trutta

Event Abstract Back to Event Natural Selection and Genetic Drift: Neutral and adaptive genetic variability of hatchery versus wild populations in brown trout Salmo trutta Tamara Schenekar1* and Steven J. Weiss1 1 University of Graz, Austria Genetic drift and natural selection are two of the major forces shaping the genetic makeup of a population. Genetic drift reduces genetic variability due to the random loss of alleles during the transition from one generation to the next one. The smaller the population, the stronger genetic drift is. Natural selection favors the spread of specific alleles within a population over time, namely those alleles that are beneficial in the specific environment of this population. Individuals that carry alleles that are less advantageous have a lower probability to survive and reproduce. For establishing a captive population, very often, only a small number of individuals are taken and the number breeding individuals used to maintain the population is limited, thus increasing the amount of genetic drift. On the other hand, the drastically different environment in captivity (artificial diet, higher individual density, altered pathogen pressure, etc.) may favor alleles that are maladaptive for individuals when they are released back in the wild, e.g. for stocking measures. We screened both, neutral and adaptive genetic markers, in order to assess the relative importance of genetic drift and selection pressure on wild and hatchery populations of Austrian brown trout. We confirm a strong positive selection pressure on an adaptive locus of the Major histocompatibility Complex (MHC), whereas the signal of this selection pressure was more pronounced in hatchery populations. This may either stem from stronger genetic drift in wild populations due to smaller effective population sizes or a stronger directional selection in these wild populations, whereby only particular genetic variants proved to be adaptive in each specific environment. Therefore, the alleles arising from the hatchery selection regime may be detrimental in the wild, which can lead to lower survival rates of stocked fish in wild environments. Keywords: Adaptation to captivity, Genetic Drift, Satr-DAB, microsatellites, dN/dS, captive population genetics, MHC class II Conference: XV European Congress of Ichthyology, Porto, Portugal, 7 Sep - 11 Sep, 2015. Presentation Type: Oral Presentation Topic: Phylogeny, Systematics and Genetics Citation: Schenekar T and Weiss SJ (2015). Natural Selection and Genetic Drift: Neutral and adaptive genetic variability of hatchery versus wild populations in brown trout Salmo trutta. Front. Mar. Sci. Conference Abstract: XV European Congress of Ichthyology. doi: 10.3389/conf.fmars.2015.03.00062 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 11 Nov 2015; Published Online: 11 Nov 2015. * Correspondence: Ms. Tamara Schenekar, University of Graz, Graz, Austria, tamara.schenekar@uni-graz.at Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract Supplemental Data The Authors in Frontiers Tamara Schenekar Steven J Weiss Google Tamara Schenekar Steven J Weiss Google Scholar Tamara Schenekar Steven J Weiss PubMed Tamara Schenekar Steven J Weiss Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

High-Throughput Sequencing of EBV Genomes Reveals Evidence for Strong Positive Selection Pressure From the Host Immune System.

Around 90% of the adult population worldwide is Epstein-Barr Virus (EBV) seropositive and in most cases infection is controlled by host immunity. However, EBV is also linked to a number of malignancies including post-transplant lymphoproliferative disorder. Despite the prevalence of this virus, little is known about its genome-wide diversity, which could provide key insights into how the virus evolves in response to immune system pressure and the factors that determine whether EBV infection leads to disease. We characterized the genomic diversity of EBV by using a publically available dataset containing high throughput sequencing reads from EBV-infected cell lines. Following alignment of reads to the B95-8 reference genome, the GATK SNP calling module was used to determine sites that differed from the reference. This was followed by calculation of the average diversity (as quantified by Shannon entropy) over a sliding window across the genome. Overall, over 3,000 sites were found to be variable, 1400 of which were in protein-coding regions, and 796 were non-synonymous variants, representing a dS/dN ratio of 1.24. This suggests, as expected, that the EBV genome is under strong positive selection. The most diverse annotated genes as measured by SNP density were EBNA3c, LMP1, and EBNA3b, all genes involved in the latent phase of the viral lifecycle. This high level of diversity provides evidence consistent with tetramer-staining studies showing these genes are immunodominant and thus under strong selective pressure. At a larger scale, we identified several hotspots of diversity both within and outside of protein-coding regions that may be used in the future to track or elucidate the EBV family tree both within and between individuals. We are currently proceeding with sequencing transplant patient samples over time to analyze the effect the immune response has on viral diversity and connect variants with clinical outcomes.

A “Universal” Lectin-Mediated Interaction Drives B-Cell Receptor Signaling In Primary Follicular Lymphoma Cells

B-cell receptor (BCR) signaling has been identified as a critical driver of B-cell malignancies and as a target for therapeutic attack. Clinical responses to novel inhibitors of BCR-associated kinases have been relatively modest in follicular lymphoma (FL) and a more detailed knowledge of BCR function in these cells is required. Surface Ig (sIg) is unusual in FL since variable regions contain N-linked glycosylation sites which are introduced by somatic mutation. These are rarely found in normal B cells, indicating strong positive selective pressure in malignant cells. Remarkably, added sugars terminate with high mannose suggesting a novel function for FL BCRs in binding to, and perhaps receiving stimulation via, microenvironmental mannose-binding lectins. In previous studies we demonstrated that candidate mannose-binding lectins, including DC-SIGN, promote intracellular calcium mobilization in primary FL cells, but not normal B cells. In this work, we characterized in more detail the response of FL cells to DC-SIGN and its inhibition by BCR-targeted kinase inhibitors.Initial studies using immunoblotting demonstrated that, like anti-Ig antibodies, DC-SIGN caused increased phosphorylation of the downstream kinases AKT and ERK in primary FL samples. DC-SIGN treatment also resulted in increased expression of the MYC oncoprotein in a subset of samples. In contrast to FL samples, DC-SIGN did not increase AKT or ERK phosphorylation in normal B cells although anti-IgM induced strong responses in these cells. Overall, responses to DC-SIGN were similar in IgM+ and IgG+ FL samples. Flow cytometry demonstrated that DC-SIGN also increased phosphorylation of proximal signaling kinases (SYK and BTK), as well as phosphorylation of PLCγ2 in FL samples, and that DC-SIGN-induced signaling occurred within the CD19+BCL2+ malignant cells. Flow cytometry also revealed intraclonal variation in responses to DC-SIGN and, like responses to anti-Ig, DC-SIGN responses were strongest in a sub-population of malignant cells with high CD20 expression. Finally, we demonstrated that tamatinib, the active form of the SYK inhibitor pro-drug fostamatinib, significantly inhibited phosphorylation of ERK and PLCγ2 induced by either anti-Ig or DC-SIGN.Overall our results are consistent with the hypothesis that N-linked glycosylation sites, introduced into BCRs by somatic mutation, are selected for in FL since they confer signaling responsiveness following binding of environmental lectins. Like canonical antigen signaling, lectin-mediated signaling via the BCR appears to be susceptible to therapeutic blockade using kinase inhibitors. However, further analysis of this novel lectin-mediated pathway may reveal novel targets for optimal therapeutic attack. Disclosures:No relevant conflicts of interest to declare.

Harnessing red cell membrane pathophysiology towards point‐of‐care diagnosis for sickle cell disease

Harnessing red cell membrane pathophysiology towards point‐of‐care diagnosis for sickle cell disease