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Genetic diversity and evolution of hepatitis C virus in the Latin American region.

Hepatitis C virus (HCV) has been the subject of intense research and clinical investigations, as a consequence of the recognition of its major role in human disease. HCV evolution is a highly dynamic process. HCV exploits all known mechanisms of genetic variation, such as recombination and mutation, to ensure its survival. Like most RNA viruses, HCV circulates in vivo as a complex population of different but closely related variants, commonly referred to as a quasi species. This work describes the genetic variability of HCV in Latin America, with special emphasis on its diversification and recombination in this area of the world, and discusses how our knowledge of these issues can contribute to its control.

Comorbidity↗

Genetic 'budget' of viruses and the cost to the infected host: a theory on the relationship between the genetic capacity of viruses, immune evasion, persistence and disease.

The nature of the pathogen-host relationship is recognized as being a dynamic coevolutionary process where the immune system has required ongoing adaptation and improvement to combat infection. Under survival pressure from sophisticated immune responses, adaptive processes for microbes, including viruses, have manifested as immune evasion strategies. This paper proposes a theory that virus immune evasion can be broadly classified into 'acquisition' or 'erroneous replication' strategies. Acquisition strategies are characteristic of large genome dsDNA viruses, which (i) replicate in the cell nucleus; (ii) have acquired host genes that can be used to directly manipulate responses to infection; (iii) are often latent for the lifetime of the host; and (iv) have little or no serious impact on health. Alternatively, erroneous replication strategies are characteristic of small genome RNA viruses, which are recognized as being the cause of many serious diseases in humans. It is proposed that this propensity for disease is due to the cytoplasmic site of replication and truncated temporal relationship with the host, which has limited or removed the evolutionary opportunity for RNA viruses to have acquired host genes. This has resulted in RNA viruses relying on error-prone replication strategies which, while allowing survival and persistence, are more likely to lead to disease due to the lack of direct viral control over potentially host-deleterious inflammatory and immune responses to infection.

Animals↗

Dependencies of substitution steps number on Hamming distance are identical for one-parameter discrete models of both direct and parallel genetic diversity.

With the help of previously introduced enumeration procedure (M.Yu. Shchelkanov, A.N. Yudin, A.V Antonov, N.S. Starikov, A.A. Vedenov, E.V. Karamov, J. Biomol. Struct. Dyn. 15, 217-229 (1997)) and probability distribution function for the enumeration after some substitution steps (M.Yu. Shchelkanov, L.A. Soinov, V.V. Zalunin, D.A. Gumennyi, A.N. Yudin, A.A. Natan, V.B. Kireev, E.V. Karamov, J. Biomol. Struct. Dyn. 15, N 4, (1998)) we have demonstrated that dependencies of replication acts number on Hamming distance are identical for one-parameter discrete models of both direct and parallel genetic diversity.

Evolution, Molecular↗

Estimating the distribution of selection coefficients from phylogenetic data with applications to mitochondrial and viral DNA.

The distribution of selection coefficients of new mutations is of key interest in population genetics. In this paper we explore how codon-based likelihood models can be used to estimate the distribution of selection coefficients of new amino acid replacement mutations from phylogenetic data. To obtain such estimates we assume that all mutations at the same site have the same selection coefficient. We first estimate the distribution of selection coefficients from two large viral data sets under the assumption that the viral population size is the same along all lineages of the phylogeny and that the selection coefficients vary among sites. We then implement several new models in which the lineages of the phylogeny may have different population sizes. We apply the new models to a data set consisting of the coding regions from eight primate mitochondrial genomes. The results suggest that there might be little power to determine the exact shape of the distribution of selection coefficient but that the normal and gamma distributions fit the data significantly better than the exponential distribution.

Algorithms↗

Dating the origin of the African human T-cell lymphotropic virus type-i (HTLV-I) subtypes.

To investigate the origin of the African PTLV-I virus, we phylogenetically analyzed the available HTLV-I and STLV-I strains. We also attempted to date the presumed interspecies transmissions that resulted in the African HTLV-I subtypes. Molecular-clock analysis was performed using the Tamura-Nei substitution model and gamma distributed rate heterogeneity based on the maximum-likelihood topology of the combined long-terminal-repeat and env third-codon-position sequences. Since the molecular clock was not rejected and no evidence for saturation was found, a constant rate of evolution at these positions for all 33 HTLV-I and STLV-I strains was reasonably assumed. The spread of PTLV-I in Africa is estimated to have occurred at least 27,300 +/- 8,200 years ago. Using the available strains, the HTLV-If subtype appears to have emerged within the last 3,000 years, and the HTLV-Ia, HTLV-Ib, HTLV-Id, and HTLV-Ie subtypes appear to have diverged between 21,100 and 5,300 years ago. Interspecies transmissions, most probably simian to human, must have occurred around that time and probably continued later. When the synonymous and nonsynonymous substitution ratios were compared, it was clear that purifying selection was the driving force for PTLV-I evolution in the env gene, irrespective of the host species. Due to the small number of strains in some of the investigated groups, these data on selective pressure should be taken with caution.

Africa↗

Using protein structural information in evolutionary inference: transmembrane proteins.

We present a model of amino acid sequence evolution based on a hidden Markov model that extends to transmembrane proteins previous methods that incorporate protein structural information into phylogenetics. Our model aims to give a better understanding of processes of molecular evolution and to extract structural information from multiple alignments of transmembrane sequences and use such information to improve phylogenetic analyses. This should be of value in phylogenetic studies of transmembrane proteins: for example, mitochondrial proteins have acquired a special importance in phylogenetics and are mostly transmembrane proteins. The improvement in fit to example data sets of our new model relative to less complex models of amino acid sequence evolution is statistically tested. To further illustrate the potential utility of our method, phylogeny estimation is performed on primate CCR5 receptor sequences, sequences of l and m subunits of the light reaction center in purple bacteria, guinea pig sequences with respect to lagomorph and rodent sequences of calcitonin receptor and K-substance receptor, and cetacean sequences of cytochrome b.

Animals↗

Molecular evolution of the human immunodeficiency and related viruses.

A phylogenetic tree for different human immunodeficiency viruses type 1 (HIV1) and type 2 (HIV2), lentiviruses, and oncoviruses has been constructed by comparing the nucleotide sequences of the two regions of their pol genes that encode the reverse transcriptase and endonuclease/integrase. The analysis indicates that (1) different HIV1 strains form one cluster and their common ancestor diverged from the ancestor of HIV2, (2) the common ancestor of the HIV1 and HIV2 strains diverged from that of the lentivirus, and (3) the common ancestor of the lentivirus group and that of the oncoviruses diverged earlier than that. Divergence between the HIV1 and HIV2 strains seems to have occurred greater than 200 years ago, implying that AIDS has existed for a long time but went undetected. Furthermore, nonsynonymous changes are occurring uniformly through time, whereas synonymous changes are more variable among different lineages.

Base Sequence↗

Parameter estimation in biochemical pathways: a comparison of global optimization methods.

Here we address the problem of parameter estimation (inverse problem) of nonlinear dynamic biochemical pathways. This problem is stated as a nonlinear programming (NLP) problem subject to nonlinear differential-algebraic constraints. These problems are known to be frequently ill-conditioned and multimodal. Thus, traditional (gradient-based) local optimization methods fail to arrive at satisfactory solutions. To surmount this limitation, the use of several state-of-the-art deterministic and stochastic global optimization methods is explored. A case study considering the estimation of 36 parameters of a nonlinear biochemical dynamic model is taken as a benchmark. Only a certain type of stochastic algorithm, evolution strategies (ES), is able to solve this problem successfully. Although these stochastic methods cannot guarantee global optimality with certainty, their robustness, plus the fact that in inverse problems they have a known lower bound for the cost function, make them the best available candidates.

Algorithms↗

Physicochemical constraint violation by missense substitutions mediates impairment of protein function and disease severity.

We find that the degree of impairment of protein function by missense variants is predictable by comparative sequence analysis alone. The applicable range of impairment is not confined to binary predictions that distinguish normal from deleterious variants, but extends continuously from mild to severe effects. The accuracy of predictions is strongly dependent on sequence variation and is highest when diverse orthologs are available. High predictive accuracy is achieved by quantification of the physicochemical characteristics in each position of the protein, based on observed evolutionary variation. The strong relationship between physicochemical characteristics of a missense variant and impairment of protein function extends to human disease. By using four diverse proteins for which sufficient comparative sequence data are available, we show that grades of disease, or likelihood of developing cancer, correlate strongly with physicochemical constraint violation by causative amino acid variants.

Algorithms↗

The T4 glycoprotein is a cell-surface receptor for the AIDS virus.

Taken together, our studies suggest a mechanism of AIDS virus infection that initially involves the specific association of the AIDS virus with T4 molecules on the cell surface. This association does not require additional T-cell-specific molecules and can be demonstrated on both B lymphocytes and epithelial cell lines. The T4-AIDS virus complex is likely to be internalized in endosomes via receptor-mediated endocytosis. The virus can then fuse with the vacuolar membrane, releasing the viral nucleocapsid into the cytoplasm to undergo uncoating. Viral replication does not appear to require the environment of a T lymphocyte because active infection is also observed in human T4+ B lymphocytes and epithelial cell lines. Moreover, the T4 gene is expressed in the brain as well as in lymphocytes, providing an explanation for the dual neurotropic and lymphotropic character of the virus. In this manner, a T-lymphocyte surface protein thought to be important in mediating effector cell-target cell interactions has been exploited by a human lymphotropic virus to target the AIDS virus specifically to populations of T4+ cells.

Acquired Immunodeficiency Syndrome↗

Hanging in the balance. KIR and their role in disease.

The killer cell immunoglobulin-like receptors (KIR) are a recently discovered family of activating and inhibitory receptors that control natural killer (NK) cell function. KIR exist as a diverse family of receptors that have evolved rapidly by both gene duplication and recombination events. These findings were unexpected for a family of genes involved primarily in the innate immune response. These findings together with the observation that several of these genes have human leukocyte antigen (HLA) class I ligands, have led to a flurry of investigation into how KIR participate in viral infections, autoimmune diseases and malignancies. This review summarizes the major features of these genes and discusses how they may be involved in both disease pathogenesis and its amelioration.

Animals↗

Effects of random mutations in the human immunodeficiency virus type 1 transcriptional promoter on viral fitness in different host cell environments.

A mutation's effect on fitness or phenotype may in part depend on the interaction of the mutation with the environment. The resulting phenotype or fitness is important, since it determines the adaptive potential of a species. To date, most studies have focused on alterations to protein-coding regions of the genome and their consequential fitness effects. Non-protein-coding regulatory regions have been largely neglected, although they make up a large and important part of an organism's genome. Here, we use human immunodeficiency virus type 1 as a model system to investigate fitness effects of random mutations in noncoding DNA-binding sites of the transcriptional promoter. We determined 242 fitness values for 35 viral promoter mutants with one, two, or three mutations across seven distinct cellular environments and identified that (i) all mutants have an effect in at least one cellular environment; (ii) fitness effects are highly dependent on the cellular environment; (iii) disadvantageous and advantageous mutations occur at high and similar frequencies; and (iv) epistatic effects of multiple mutations are rare. Our results underline the evolutionary potential of regulatory regions and indicate that DNA-binding sites evolve under strong selection, while at the same time, they are very plastic to environmental change.

Cell Line↗

Early evolution of the human immunodeficiency virus type 1 subtype C epidemic in rural Malawi.

We have tracked the early years of the evolution of the human immunodeficiency virus type 1 (HIV-1) epidemic in a rural district of central east Africa from the first documented introductions of subtypes A, D, and C to the present predominance of subtype C. The earliest subtype C sequences ever reported are described. Blood samples were collected on filter papers from 1981 to 1984 and from 1987 to 1989 from more than 44,000 individuals living in two areas of Karonga District, Malawi. These samples included HIV-1-positive samples from 200 people. In 1982 to 1984, HIV-1 subtypes A, C, and D were all present, though in small numbers. By 1987 to 1989, 152 (90%) of a total of 168 sequences were subtype C and AC, AD, and DC recombinants had emerged. Four of the subtype C sequences from 1983 to 1984 were closely related and were found at the base of a large cluster of low diversity that by the late 1980s accounted for 40% of C sequences. The other two early C sequences fell into a separate and more diverse cluster. Three other clusters containing sequences from the late 1980s were identified. Each cluster contained at least one sample from a person who had recently arrived in the district. From 18 HIV-1-positive spouse pairs, 12 very closely related pairs of sequences were identified. We conclude that there were multiple introductions of HIV-1 with limited spread, followed by explosive growth of a subtype C cluster, probably arising from a single introduction in or before 1983.

Adult↗