抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

Evolution of Protein Molecules

The modern rise in obesity and its strong association with insulin resistance and type 2 diabetes have elicited interest in the underlying mechanisms of these pathologies. The discovery that obesity itself results in an inflammatory state in metabolic tissues ushered in a research field that examines the inflammatory mechanisms in obesity. Here, we summarize the unique features of this metabolic inflammatory state, termed metaflammation and defined as low-grade, chronic inflammation orchestrated by metabolic cells in response to excess nutrients and energy. We explore the effects of such inflammation in metabolic tissues including adipose, liver, muscle, pancreas, and brain and its contribution to insulin resistance and metabolic dysfunction. Another area in which many unknowns still exist is the origin or mechanism of initiation of inflammatory signaling in obesity. We discuss signals or triggers to the inflammatory response, including the possibility of endoplasmic reticulum stress as an important contributor to metaflammation. Finally, we examine anti-inflammatory therapies for their potential in the treatment of obesity-related insulin resistance and glucose intolerance.

/pdf/inflammatory-mechanisms-in-obesity-4zcumnwrzk.pdf

Inflammatory Mechanisms in Obesity

AACR Centennial Conference: Translational Cancer Medicine-- Nov 4-8, 2007; Singapore

PL02-05 

All cancers are due to abnormalities in DNA. The availability of the human genome sequence has led to the proposal that resequencing of cancer genomes will reveal the full complement of somatic mutations and hence all the cancer genes. To explore the nature of the information that will be derived from cancer genome sequencing we have sequenced the coding exons of the family of 518 protein kinases, ~1.3Mb DNA per cancer sample, in 210 cancers of diverse histological types. Despite the screen being directed toward the coding regions of a gene family that has previously been strongly implicated in oncogenesis, the results indicate that the majority of somatic mutations detected are “passengers”. There is considerable variation in the number and pattern of these mutations between individual cancers, indicating substantial diversity of processes of molecular evolution between cancers. The imprints of exogenous mutagenic exposures, mutagenic treatment regimes and DNA repair defects can all be seen in the distinctive mutational signatures of individual cancers. This systematic mutation screen and others have previously yielded a number of cancer genes that are frequently mutated in one or more cancer types and which are now anticancer drug targets (for example BRAF , PIK3CA , and EGFR ). However, detailed analyses of the data from our screen additionally suggest that there exist a large number of additional “driver” mutations which are distributed across a substantial number of genes. It therefore appears that cells may be able to utilise mutations in a large repertoire of potential cancer genes to acquire the neoplastic phenotype. However, many of these genes are employed only infrequently. These findings may have implications for future anticancer drug development.

Patterns of Somatic Mutation in Human Cancer Genomes

RNA viruses exploit all known mechanisms of genetic variation to ensure their survival. Distinctive features of RNA virus replication include high mutation rates, high yields, and short replication times. As a consequence, RNA viruses replicate as complex and dynamic mutant swarms, called viral quasispecies. Mutation rates at defined genomic sites are affected by the nucleotide sequence context on the template molecule as well as by environmental factors. In vitro hypermutation reactions offer a means to explore the functional sequence space of nucleic acids and proteins. The evolution of a viral quasispecies is extremely dependent on the population size of the virus that is involved in the infections. Repeated bottleneck events lead to average fitness losses, with viruses that harbor unusual, deleterious mutations. In contrast, large population passages result in rapid fitness gains, much larger than those so far scored for cellular organisms. Fitness gains in one environment often lead to fitness losses in an alternative environment. An important challenge in RNA virus evolution research is the assignment of phenotypic traits to specific mutations. Different constellations of mutations may be associated with a similar biological behavior. In addition, recent evidence suggests the existence of critical thresholds for the expression of phenotypic traits. Epidemiological as well as functional and structural studies suggest that RNA viruses can tolerate restricted types and numbers of mutations during any specific time point during their evolution. Viruses occupy only a tiny portion of their potential sequence space. Such limited tolerance to mutations may open new avenues for combating viral infections.

RNA virus mutations and fitness for survival

Summary: Evolution of RNA viruses occurs through disequilibria of collections of closely related mutant spectra or mutant clouds termed viral quasispecies. Here we review the origin of the quasispecies concept and some biological implications of quasispecies dynamics. Two main aspects are addressed: (i) mutant clouds as reservoirs of phenotypic variants for virus adaptability and (ii) the internal interactions that are established within mutant spectra that render a virus ensemble the unit of selection. The understanding of viruses as quasispecies has led to new antiviral designs, such as lethal mutagenesis, whose aim is to drive viruses toward low fitness values with limited chances of fitness recovery. The impact of quasispecies for three salient human pathogens, human immunodeficiency virus and the hepatitis B and C viruses, is reviewed, with emphasis on antiviral treatment strategies. Finally, extensions of quasispecies to nonviral systems are briefly mentioned to emphasize the broad applicability of quasispecies theory.

Viral Quasispecies Evolution

The double-stranded RNA-dependent protein kinase PKR is a critical mediator of the antiproliferative and antiviral effects exerted by interferons. Not only is PKR an effector molecule on the cellular response to double-stranded RNA, but it also integrates signals in response to Toll-like receptor activation, growth factors, and diverse cellular stresses. In this review, we provide a detailed picture on how signaling downstream of PKR unfolds and what are the ultimate consequences for the cell fate. PKR activation affects both transcription and translation. PKR phosphorylation of the alpha subunit of eukaryotic initiation factor 2 results in a blockade on translation initiation. However, PKR cannot avoid the translation of some cellular and viral mRNAs bearing special features in their 5′ untranslated regions. In addition, PKR affects diverse transcriptional factors such as interferon regulatory factor 1, STATs, p53, activating transcription factor 3, and NF-κB. In particular, how PKR triggers a cascade of events involving IKK phosphorylation of IκB and NF-κB nuclear translocation has been intensively studied. At the cellular and organism levels PKR exerts antiproliferative effects, and it is a key antiviral agent. A point of convergence in both effects is that PKR activation results in apoptosis induction. The extent and strength of the antiviral action of PKR are clearly understood by the findings that unrelated viral proteins of animal viruses have evolved to inhibit PKR action by using diverse strategies. The case for the pathological consequences of the antiproliferative action of PKR is less understood, but therapeutic strategies aimed at targeting PKR are beginning to offer promising results.

https://mmbr.asm.org/content/mmbr/70/4/1032.full.pdf

Impact of Protein Kinase PKR in Cell Biology: from Antiviral to Antiproliferative Action

Co-evolution between host and pathogen is, in principle, a powerful determinant of the biology and genetics of infection and disease. Yet co-evolution has proven difficult to demonstrate rigorously in practice, and co-evolutionary thinking is only just beginning to inform medical or veterinary research in any meaningful way, even though it can have a major influence on how genetic variation in biomedically important traits is interpreted. Improving our understanding of the biomedical significance of co-evolution will require changing the way in which we look for it, complementing the phenomenological approach traditionally favored by evolutionary biologists with the exploitation of the extensive data becoming available on the molecular biology and molecular genetics of host-pathogen interactions.

/pdf/biological-and-biomedical-implications-of-the-co-evolution-1hnhqm3c0r.pdf

Biological and biomedical implications of the co-evolution of pathogens and their hosts

P. Schuster and P.F. Stadler, Nature and Evolution of Early Replicons. H.D. Robertson and O.D. Neel, Virus Origins: Conjoined RNA Genomes as Precursors to DNA Genomes. J.S. Semancik and N. Duran-Vila, Viroids in Plants: Shadows and Footprints of a Primitive RNA. C. Biebricher, Mutation, Competition, and Selection as Measured with Small RNA Molecules. A. Meyerhans and J.-P. Vartanian, The Fidelity of Cellular and Viral Polymerases and Its Manipulation for Hypermutagenesis. S. Wain-Hobson and M. Sala, Drift and Conservatism in RNA Virus Evolution: Are They Adapting or Merely Changing? E. Domingo, C. Escarmis, L. Menendez-Aarias, and J.J. Holland, Viral Quasispecies and Fitness Variations. M.A. McClure, The Retroid Agents: Disease, Function, and Evolution. D. Wodarz and M.A. Nowak, Dynamics of HIV Pathogenesis and Treatment. I.M. Rouzine and J.M. Coffin, Interplay between Experiment and Theory in Development of a Working Model for HIV-1 Population Dynamics. A.J. Gibbs, P.L. Keese, M.J. Gibbs, and F. Garcia-Arenal, Plant Virus Evolution: Past, Present, and Future. M. Gromeier, E. Wimmer, and A.E. Gorbalenya, Genetics, Pathogenesis, and Evolution of Picornaviruses. J.I. Esteban, M. Martell, W.F. Carman, and J. Gomez, The Impact of Rapid Evolution of the Hepatitis Viruses. R.G. Webster, Antigenic Variation in Influenza Viruses. L.P. Villarreal, DNA Virus Contribution to Host Evolution. C.R. Parrish and U. Truyen, Parvovirus Variation and Evolution. D.J. McGeoch and A.J. Davison, The Molecular Evolutionary History of the Herpesviruses. J. Salas, M.L. Salas, and E. Vinuela, African Swine Fever Virus: A Missing Link Between Poxviruses and Iridoviruses? Subject Index.

Esteban Domingo

Papers

RNA virus mutations and fitness for survival

Viral Quasispecies Evolution

Impact of Protein Kinase PKR in Cell Biology: from Antiviral to Antiproliferative Action

Biological and biomedical implications of the co-evolution of pathogens and their hosts

Origin and evolution of viruses