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At least 1,567 records · Page 87Linked to original sources
PubMed2002

Exon discovery by genomic sequence alignment.

MOTIVATION: During evolution, functional regions in genomic sequences tend to be more highly conserved than randomly mutating 'junk DNA' so local sequence similarity often indicates biological functionality. This fact can be used to identify functional elements in large eukaryotic DNA sequences by cross-species sequence comparison. In recent years, several gene-prediction methods have been proposed that work by comparing anonymous genomic sequences, for example from human and mouse. The main advantage of these methods is that they are based on simple and generally applicable measures of (local) sequence similarity; unlike standard gene-finding approaches they do not depend on species-specific training data or on the presence of cognate genes in data bases. As all comparative sequence-analysis methods, the new comparative gene-finding approaches critically rely on the quality of the underlying sequence alignments. RESULTS: Herein, we describe a new implementation of the sequence-alignment program DIALIGN that has been developed for alignment of large genomic sequences. We compare our method to the alignment programs PipMaker, WABA and BLAST and we show that local similarities identified by these programs are highly correlated to protein-coding regions. In our test runs, PipMaker was the most sensitive method while DIALIGN was most specific. AVAILABILITY: The program is downloadable from the DIALIGN home page at http://bibiserv.techfak.uni-bielefeld.de/dialign/.

Animals↗
PubMed2025

Evolutionary Genomics Unravels the Responses and Adaptation to Climate Change in a Key Alpine Forest Tree Species.

Despite widespread biodiversity loss, our understanding of how species and populations will respond to accelerated climate change remains limited. In this study, we integrate population genomics, experimental evolution, and environmental modeling to elucidate the evolutionary responses to climate change in Populus lasiocarpa, a key alpine forest tree species primarily distributed in the mountainous regions of a global biodiversity hotspot. Over historical timescales, our findings demonstrate that demographic dynamics, divergent selection, and long-term balancing selection have shaped and maintained genetic variation within and between populations. In examining genomic signatures of contemporary climate adaptation, we found that haplotype blocks, potentially caused by inversion polymorphisms that suppress recombination, are linked to enriched combinations of locally adaptive environmental variations. We further assessed the relative contributions of environmentally induced plastic responses, constitutive expression divergence between genetic clusters, and their interactions in driving gene expression variation and divergence. Notably, we observed a strong correlation between sequence divergence and constitutive differential expression among genetic clusters. Finally, by incorporating genetic adaptation, migration, and genetic load into our predictions of population-level climate change risks, we identified western populations-primarily distributed in the Hengduan Mountains, a region known for its environmental heterogeneity and significant biodiversity-as the most vulnerable to climate change. These populations should be prioritized for conservation and management. Overall, our study advances the understanding of the relative roles of long-term natural selection, local environmental adaptation, and immediate plastic expression changes in shaping the responses of natural populations of keystone species to climate change.

Climate Change↗
PubMed1997

Comparable rates of gene loss and functional divergence after genome duplications early in vertebrate evolution.

Duplicated genes are an important source of new protein functions and novel developmental and physiological pathways. Whereas most models for fate of duplicated genes show that they tend to be rapidly lost, models for pathway evolution suggest that many duplicated genes rapidly acquire novel functions. Little empirical evidence is available, however, for the relative rates of gene loss vs. divergence to help resolve these contradictory expectations. Gene families resulting from genome duplications provide an opportunity to address this apparent contradiction. With genome duplication, the number of duplicated genes in a gene family is at most 2n, where n is the number of duplications. The size of each gene family, e.g., 1, 2, 3, ..., 2n, reflects the patterns of gene loss vs. functional divergence after duplication. We focused on gene families in humans and mice that arose from genome duplications in early vertebrate evolution and we analyzed the frequency distribution of gene family size, i.e., the number of families with two, three or four members. All the models that we evaluated showed that duplicated genes are almost as likely to acquire a new and essential function as to be lost through acquisition of mutations that compromise protein function. An explanation for the unexpectedly high rate of functional divergence is that duplication allows genes to accumulate more neutral than disadvantageous mutations, thereby providing more opportunities to acquire diversified functions and pathways.

Animals↗
PubMed2004

Trends between gene content and genome size in prokaryotic species with larger genomes.

Although the evolution process and ecological benefits of symbiotic species with small genomes are well understood, these issues remain poorly elucidated for free-living species with large genomes. We have compared 115 completed prokaryotic genomes by using the Clusters of Orthologous Groups database to determine whether there are changes with genome size in the proportion of the genome attributable to particular cellular processes, because this may reflect both cellular and ecological strategies associated with genome expansion. We found that large genomes are disproportionately enriched in regulation and secondary metabolism genes and depleted in protein translation, DNA replication, cell division, and nucleotide metabolism genes compared to medium- and small-sized genomes. Furthermore, large genomes do not accumulate noncoding DNA or hypothetical ORFs, because the portion of the genome devoted to these functions remained constant with genome size. Traits other than genome size or strain-specific processes are reflected by the dispersion around the mean for cell functions that showed no correlation with genome size. For example, Archaea had significantly more genes in energy production, coenzyme metabolism, and the poorly characterized category, and fewer in cell membrane biogenesis and carbohydrate metabolism than Bacteria. The trends we noted with genome size by using Clusters of Orthologous Groups were confirmed by our independent analysis with The Institute for Genomic Research's Comprehensive Microbial Resource and Kyoto Encyclopedia of Genes and Genomes' Orthology annotation databases. These trends suggest that larger genome-sized species may dominate in environments where resources are scarce but diverse and where there is little penalty for slow growth, such as soil.

Animals↗
PubMed2004

Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models.

BACKGROUND: The size distribution of gene families in a broad range of genomes is well approximated by a generalized Pareto function. Evolution of ensembles of gene families can be described with Birth, Death, and Innovation Models (BDIMs). Analysis of the properties of different versions of BDIMs has the potential of revealing important features of genome evolution. RESULTS: In this work, we extend our previous analysis of stochastic BDIMs. In addition to the previously examined rational BDIMs, we introduce potentially more realistic logistic BDIMs, in which birth/death rates are limited for the largest families, and show that their properties are similar to those of models that include no such limitation. We show that the mean time required for the formation of the largest gene families detected in eukaryotic genomes is limited by the mean number of duplications per gene and does not increase indefinitely with the model degree. Instead, this time reaches a minimum value, which corresponds to a non-linear rational BDIM with the degree of approximately 2.7. Even for this BDIM, the mean time of the largest family formation is orders of magnitude greater than any realistic estimates based on the timescale of life's evolution. We employed the embedding chains technique to estimate the expected number of elementary evolutionary events (gene duplications and deletions) preceding the formation of gene families of the observed size and found that the mean number of events exceeds the family size by orders of magnitude, suggesting a highly dynamic process of genome evolution. The variance of the time required for the formation of the largest families was found to be extremely large, with the coefficient of variation >> 1. This indicates that some gene families might grow much faster than the mean rate such that the minimal time required for family formation is more relevant for a realistic representation of genome evolution than the mean time. We determined this minimal time using Monte Carlo simulations of family growth from an ensemble of simultaneously evolving singletons. In these simulations, the time elapsed before the formation of the largest family was much shorter than the estimated mean time and was compatible with the timescale of evolution of eukaryotes. CONCLUSIONS: The analysis of stochastic BDIMs presented here shows that non-linear versions of such models can well approximate not only the size distribution of gene families but also the dynamics of their formation during genome evolution. The fact that only higher degree BDIMs are compatible with the observed characteristics of genome evolution suggests that the growth of gene families is self-accelerating, which might reflect differential selective pressure acting on different genes.

Birth Rate↗
PubMed2001

Ongoing evolution of strand composition in bacterial genomes.

We tried to identify the substitutions involved in the establishment of replication strand bias, which has been recognized as an important evolutionary factor in the evolution of bacterial genomes. First, we analyzed the composition asymmetry of 28 complete bacterial genomes and used it to test the possibility that asymmetric deamination of cytosine might be at the origin of the bias. The model showed significant correlation to the data but left unexplained a significant portion of the variance and indicated a systematic underestimation of GC skews in comparison with TA skews. Second, we analyzed the substitutions acting on the genes from five fully sequenced Chlamydia genomes that had not suffered strand switch since speciation. This analysis showed that substitutions were not at equilibrium in Chlamydia trachomatis or in C. muridarum and that strand bias is still an on-going process in these genes. Third, we identified substitutions involved in the adaptation of genes that had switched strands after speciation. These genes adapted quickly to the skewed composition of the new strand, mostly due to C-->T, A-->G, and C-->G asymmetric substitutions. This observation was reinforced by the analysis of genes that switched strands after divergence between Bacillus subtilis and B. halodurans. Finally, we propose a more extended model based on the analysis of the substitution asymmetries of CHLAMYDIA: This model fits well with the data provided by bacterial genomes presenting strong strand bias.

Bacteria↗
PubMed2025

Phylogenetic and Genetic Evolution Analysis of Complete SFTSV Genome Sequences in Shandong Province, China.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by SFTS virus (SFTSV). Shandong province is one of the epidemic regions with high incidence rate of SFTS. To investigate phylogenetical and genetic evolution characteristics of SFTSV in Shandong province, we isolated SFTSV from suspected patients between April 2023 and October 2024, and then whole SFTSV genomes were amplified and sequenced in this study. A total of 25 new strains were analyzed together 56 strains submitted in Genbank from Shandong province. Phylogenetical and genetic analyses of the data set revealed that four genotypes were co-circulating in Shandong province. C3 genotype was the most common genotype in each year with lower genetic divergence. 298 amino acid substitutions were detected in the four proteins of SFTSV, but only two substitutions (Arg624Lys and Arg962Ser) had been proven to have potential impacts on biological functions. In addition, one reassortment strain (C3/C4/C4 for L, M and S segments) and three recombinant strains were identified. Analysis of selection pressure at the level of amino acid substitutions indicated genes within the four ORFs of SFTSV were all subjected to negative selection. In conclusion, the genetic characteristics and evolutionary mechanism of SFTSV was complex in Shandong province. It is necessary to conduct continuous surveillance to grasp the genetic evolution patterns, and to discover novel prevalent variants in a timely manner.

China↗
PubMed2001

Evolution of hepatitis C virus genome in chronically infected patients receiving ribavirin monotherapy.

Recent results of clinical trials suggest that combination of interferon and ribavirin exhibits an enhanced antiviral effect in the treatment of chronic hepatitis C. To investigate the effect of ribavirin on hepatitis C virus (HCV) infection, we analysed the evolution of the genetic heterogeneity of HCV in relation to the anti-HCV humoral response in patients treated by ribavirin alone. The study population included 35 patients with liver biopsy proven chronic hepatitis C infected with HCV genotype 1. Among them, 26 were treated with ribavirin for at least 12 months and nine untreated patients served as a control group. Serum samples were analysed before and at 6 and 12 months of therapy. Three regions of the HCV genome, i.e. HVR1, a domain of NS5A including part of the interferon sensitivity determining region (ISDR), and a segment of NS5B, were amplified by RT-PCR using specific primers. The PCR products were then studied using single-strand conformation polymorphism (SSCP) analysis followed by either direct sequencing, or cloning and sequencing. In parallel, the humoral anti-E1 response was studied using an ELISA (Innotest HCV E1Ab, Innogenetics). The results of HCV genome analysis showed no significant effect on the amino acid sequence evolution of the HVR1, NS5A and NS5B regions of HCV. Analysis of a phylogenetic tree from the major quasispecies variants showed the absence of correlation with ribavirin response, and the absence of selection of viral strains during ribavirin treatment. A trend towards a decrease in the anti-E1 Ab response was also observed. Altogether these results suggest that ribavirin may not exhibit a direct antiviral effect, but may trigger a favourable response to interferon by modulating the immune response against HCV.

Amino Acid Sequence↗
PubMed2002

From pixels to picograms: a beginners' guide to genome quantification by Feulgen image analysis densitometry.

The study of genome size variation is important from a number of practical and theoretical perspectives. For example, the long-standing "C-value enigma" relating to the more than 200,000-fold range in eukaryotic genome sizes is best studied from a broad comparative standpoint. Genome size data are also required in detailed analyses of genome structure and evolution. The choice of future genome sequencing projects will be dependent on knowledge regarding the sizes of genomes to be sequenced, and so on. To date, genome size data have been acquired primarily by Feulgen microdensitometry or flow cytometry. Each has several advantages but also important limitations. In this review, we provide a practical guide to the new technique of Feulgen image analysis densitometry. The review is designed for those interested in genome size measurements but not extensively experienced in histochemistry, densitometry, or microscopy. Therefore, relevant historical and technical background information is included. For easy reference, we provide recipes for required reagents, guidelines for cell staining, and a checklist of steps for successful image analysis. We hope that the accuracy, rapidity, and cost-effectiveness of Feulgen image analysis demonstrated here will stimulate further surveys of genome sizes in a variety of taxa.

Animals↗
PubMed2006

Novel type IV secretion system involved in propagation of genomic islands.

Type IV secretion systems (T4SSs) mediate horizontal gene transfer, thus contributing to genome plasticity, evolution of infectious pathogens, and dissemination of antibiotic resistance and other virulence traits. A gene cluster of the Haemophilus influenzae genomic island ICEHin1056 has been identified as a T4SS involved in the propagation of genomic islands. This T4SS is novel and evolutionarily distant from the previously described systems. Mutation analysis showed that inactivation of key genes of this system resulted in a loss of phenotypic traits provided by a T4SS. Seven of 10 mutants with a mutation in this T4SS did not express the type IV secretion pilus. Correspondingly, disruption of the genes resulted in up to 100,000-fold reductions in conjugation frequencies compared to those of the parent strain. Moreover, the expression of this T4SS was found to be positively regulated by one of its components, the tfc24 gene. We concluded that this gene cluster represents a novel family of T4SSs involved in propagation of genomic islands.

Bacterial Proteins↗
PubMed1994

Evolution escapes rugged fitness landscapes by gene or genome doubling: the blessing of higher dimensionality.

Evolution on rugged landscapes ceases when a local maximum is attained. This poses the problem of how evolution could approach or attain a global maximum, especially for large genomes for which quasispecies are ineffective. I show how increasing the dimensionality of the landscape, which occurs every time there is a gene or higher order duplication (up to polyploidy), may solve this problem. Epistasis or complementarity between the duplicated genes provides an all uphill pathway towards the global maximum. The evolution of hemoglobin and other dimeric and tetrameric proteins provides a testable case, since fitness is readily defined.

Animals↗
PubMed2001

Directed evolution of a recombinase for improved genomic integration at a native human sequence.

We previously established that a unidirectional site-specific recombinase, the phage phiC31 integrase, can mediate integration into mammalian chromosomes. The enzyme directs integration of plasmids bearing the phage attB recognition site into pseudo attP sites, a set of native sequences related to the phage attP recognition site. Here we use two cycles of DNA shuffling and screening in Escherichia coli to obtain evolved integrases that possess significant improvements in integration frequency and sequence specificity at a pseudo attP sequence located on human chromosome 8, when measured in the native genomic environment of living human cells. Such integrases represent custom integration tools that will be useful for modifying the genomes of higher eukaryotic cells.

Base Sequence↗
PubMed2005

Prokaryotic phylogenies inferred from protein structural domains.

The determination of the phylogenetic relationships among microorganisms has long relied primarily on gene sequence information. Given that prokaryotic organisms often lack morphological characteristics amenable to phylogenetic analysis, prokaryotic phylogenies, in particular, are often based on sequence data. In this work, we explore a new source of phylogenetic information, the distribution of protein structural domains within fully sequenced prokaryotic genomes. The evolution of the structural domains we use has been studied extensively, allowing us to base our phylogenetic methods on testable theoretical models of structural evolution. We find that the methods that produce reasonable phylogenetic relationships are indeed the methods that are most consistent with theoretical evolutionary models. This work represents, to our knowledge, the first such theoretically motivated phylogeny, as well as the first application of structural information to phylogeny on this scale. Our results have strong implications for the phylogenetic relationships among prokaryotic organisms and for the understanding of protein evolution as a whole.

Archaeal Proteins↗
PubMed2004

Sequence composition, organization, and evolution of the core Triticeae genome.

We investigated the composition and the basis of genome expansion in the core Triticeae genome using Aegilops tauschii, the D-genome donor of bread wheat. We sequenced an unfiltered genomic shotgun (trs) and a methylation-filtration (tmf) library of A. tauschii, and analyzed wheat expressed sequence tags (ESTs) to estimate the expression of genes and transposable elements (TEs). The sampled D-genome sequences consisted of 91.6% repetitive elements, 2.5% known genes, and 5.9% low-copy sequences of unknown function. TEs constituted 68.2% of the D-genome compared with 50% in maize and 14% in rice. The DNA transposons constituted 13% of the D-genome compared with 2% in maize. TEs were methylated unevenly within and among elements and families, and most were transcribed which contributed to genome expansion in the core Triticeae genome. The copy number of a majority of repeat families increased gradually following polyploidization. Certain TE families occupied discrete chromosome territories. Nested insertions and illegitimate recombination occurred extensively between the TE families, and a majority of the TEs contained internal deletions. The GC content varied significantly among the three sequence sets examined ranging from 42% in tmf to 46% in trs and 52% in the EST. Based on enrichment of genic sequences, methylation-filtration offers one option, although not as efficient as in maize, for isolating gene-rich regions from the large genome of wheat.

Edible Grain↗
PubMed1998

Evolution of the plant mitochondrial genome: dynamics of duplication and deletion of sequences.

Several descriptive models have been proposed to explain the occurrence of deletion-duplication events in the plant mitochondrial genome. In order to investigate the dynamics of these events, we have simulated them using a computer model. The simulation shows that whatever the recombination rates between repeats, if a mitochondrial sequence becomes unnecessary for the proper function of mitochondria, this sequence can be deleted and another sequence can be duplicated in consequence. Furthermore, the model shows that the organization of the sequences with respect to the origin of replication has a great influence over the dynamics of the deletion-duplication events.

DNA, Mitochondrial↗