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PubMed1997

Identification and molecular genetic analysis of multiple loci contributing to high-level tellurite resistance in Rhodobacter sphaeroides 2.4.1.

The ability of the facultative photoheterotroph Rhodobacter sphaeroides to tolerate and reduce high levels of tellurite in addition to at least 10 other rare earth metal oxides and oxyanions has considerable potential for detoxification and bioremediation of contaminated environments. We report the identification and characterization of two loci involved in high-level tellurite resistance. The first locus contains four genes, two of which, trgAB, confer increased tellurite resistance when introduced into the related bacterium Paracoccus denitrificans. The trgAB-derived products display no significant homology to known proteins, but both are likely to be membrane-associated proteins. Immediately downstream of trgB, the cysK (cysteine synthase) and orf323 genes were identified. Disruption of the cysK gene resulted in decreased tellurite resistance in R. sphaeroides, confirming earlier observations on the importance of cysteine metabolism for high-level tellurite resistance. The second locus identified is represented by the telA gene, which is separated from trgAB by 115 kb. The telA gene product is 65% similar to the product of the klaB (telA) gene from the tellurite-resistance-encoding kilA operon from plasmid RK2. The genes immediately linked to the R. sphaeroides telA gene have no similarity to other components of the kilA operon. R. sphaeroides telA could not functionally substitute for the plasmid RK2 telA gene, indicating substantial functional divergence between the two gene products. However, inactivation of R. sphaeroides telA resulted in a significant decrease in tellurite resistance compared to the wild-type strain. Both cysK and telA null mutations readily gave rise to suppressors, suggesting that the phenomenon of high-level tellurite resistance in R. sphaeroides is complex and other, as yet uncharacterized, loci may be involved.

Amino Acid Sequence↗
PubMed1996

Persistence, replacement, and microevolution of Cryptococcus neoformans strains in recurrent meningitis in AIDS patients.

Six separate human immunodeficiency virus-positive patients with cryptococcal meningitis were each found to have been infected with a unique strain of Cryptococcus neoformans on the basis of genomic DNA finger-printing analysis with the microsatellite sequence-containing oligonucleotide probe (GGAT)4 and by random amplification of polymorphic DNA. Two patients (A and B) experienced a recurrent episode of infection. Between 12 and 16 single-colony isolates recovered from primary isolation media (> 50% of C. neoformans colonies recovered) from cerebrospinal fluid specimens were fingerprinted from both patients during each episode. The fingerprints of both isolate collections from patient B were very similar, although minor polymorphisms were evident in both sets of profiles. The fingerprints of the isolate collection from the initial episode of infection in patient A were also identical to each other, apart from minor polymorphisms, but they were clearly different from the corresponding profiles of the isolate collection from the recurrent episode, the latter of which were completely identical, apart from minor polymorphisms in a single isolate. Furthermore, prolonged storage and in vitro subculture of the isolates did not alter the fingerprint profiles. These results provided convincing evidence that patients A and B were each infected with a single C. neoformans strain during each episode of infection and that in patient B, the same strain persisted and caused both episodes, while in patient A, a different strain was responsible for each episode. The prevalence of polymorphisms in multiple single-colony isolates from both patients also suggested that C. neoformans populations may undergo microevolution.

AIDS-Related Opportunistic Infections↗
PubMed1997

pol gene diversity of five human immunodeficiency virus type 1 subtypes: evidence for naturally occurring mutations that contribute to drug resistance, limited recombination patterns, and common ancestry for subtypes B and D.

Naturally occurring mutations in the polymerase gene of human immunodeficiency virus type 1 (HIV-1) have important implications for therapy and the outcome of clinical studies. Using 42 virus isolates obtained from the UNAIDS sample collection, we analyzed the protease (99 amino acids [aa]) and the first 297 aa of reverse transcriptase (RT) coding regions. Based on the V3 sequence analysis, the collection includes subtype A (n = 5), subtype B (n = 12), subtype C (n = 1), subtype D (n = 11), and subtype E (n = 13) viruses. Of the 42 protease genes, 37 contained naturally occurring mutations at positions in the gene that contribute to resistance to protease inhibitors (indinavir, saquinavir, ritonavir, and nelfinavir) in clade B isolates. The phenotypic effect of these substitutions in non-B isolates is unclear. The The 5'half RT coding region of the 42 isolates was found to be less variable, although 19 of the 42 RT sequences contained amino acid substitutions known to contribute to nucleoside and/or nonnucleoside drug resistance. Since the virus isolates were obtained in 1992, it is unlikely that the infected subjects received protease inhibitors, but we found evidence that one subject acquired a zidovudine (AZT)-resistant HIV-1 strain from a contact who had received AZT. Phylogenetic analysis identified five subtype pol clusters: A, B, C, D, and A'. Comparison of env and pol sequences of the same viruses showed no more recombination events than were already identified on the basis of gag/env comparison (M. Cornelissen, G. Kampinga, F. Zorgdrager, J. Goudsmit, and the UNAIDS Network for HIV Isolation and Characterization, J. Virol. 70:8209-8212, 1996). In one of the known recombinants, a crossover site between subtypes A and C could be identified, and in another, a crossover site could not be identified due to lack of a reference subtype F pol sequence. We analyzed the ds/da ratio of gag, pol, and env sequences of 35 isolates, excluding the recombinants. Our analysis showed that gag and pol are subjected to purifying selection with an average ds/da ratio above 1, independent of the subtype and in contrast with V3 (ds/da approximately 1). Based on the low ds/da ratio of the intergroup analysis of A/E and B/D gag and pol sequences, we analyzed the evolutionary relation between subtypes B and D in more detail by constructing separate phylogenetic trees for synonymous and nonsynonymous substitutions. Our analysis suggests a common ancestry for subtypes B and D that is distinct from that of subtypes A and E.

Amino Acid Sequence↗
PubMed1998

Interferon resistance of hepatitis C virus genotype 1b: relationship to nonstructural 5A gene quasispecies mutations.

A 40-amino-acid sequence located in the nonstructural 5A (NS5A) protein of hepatitis C virus genotype 1b (HCV-1b) was recently suggested to be the interferon sensitivity-determining region (ISDR), because HCV-1b strains with an ISDR amino acid sequence identical to that of the prototype strain HCV-J were found to be resistant to alpha interferon (IFN-alpha) whereas strains with amino acid substitutions were found to be sensitive (N. Enomoto, I. Sakuma, Y. Asahina, M. Kurosaki, T. Murakami, C. Yamamoto, N. Izumi, F. Marumo, and C. Sato, J. Clin. Invest. 96:224-230, 1995; N. Enomoto, I. Sakuma, Y. Asahina, M. Kurosaki, T. Murakami, C. Yamamoto, Y. Ogura, N. Izumi, F. Marumo, and C. Sato, N. Engl. J. Med. 334:77-81, 1996). We used single-strand conformation polymorphism (SSCP) analysis, combined with cloning and sequencing strategies, to characterize NS5A quasispecies in HCV-1b-infected patients and determine the relationships between pre- and posttreatment NS5A quasispecies mutations and the IFN-alpha sensitivity of HCV-1b. The serine residues involved in phosphorylation of NS5A protein were highly conserved both in the various patients and in quasispecies in a given patient, suggesting that phosphorylation is important in NS5A protein function. A hot spot for amino acid substitutions was found at positions 2217 to 2218; it could be the result of either strong selection pressure or tolerance to these amino acid replacements. The proportion of synonymous mutations was significantly higher than the proportion of nonsynonymous mutations, suggesting that genetic variability in the region studied was the result of high mutation rates and viral replication kinetics rather than of positive selection. Sustained HCV RNA clearance was associated with low viral load and low nucleotide sequence entropy, suggesting (i) that the replication kinetics when treatment is started plays a critical role in HCV-1b sensitivity to IFN-alpha and (ii) that HCV-1b resistance to IFN-alpha could be conferred by numerous and/or related mutations that could be patient specific and located at different positions throughout the viral genome and could allow escape variants to be selected by IFN-alpha-stimulated immune responses. No NS5A sequence appeared to be intrinsically resistant or sensitive to IFN-alpha, but the HCV-J sequence was significantly more frequent in nonresponder quasispecies than in sustained virological responder quasispecies, suggesting that the balance between NS5A quasispecies sequences in infected patients could have a subtle regulatory influence on HCV replication.

Amino Acid Sequence↗
PubMed1999

Aminoglycoside phosphotransferases: proteins, structure, and mechanism.

Aminoglycoside antibiotics constitute an important class of clinically useful drugs which are imperiled by the emergence of resistant organisms. Aminoglycoside resistance in the clinics is primarily due to the presence of modifying enzymes which N-acetylate, O-adenylate or O-phosphorylate the antibiotics. The latter family of enzymes are termed the aminoglycoside phosphotransferases or kinases and are the subject of this review. There are seven classes of aminoglycoside phosphotransferases (APH(3'), APH(2''), APH(3'off'), APH(6), APH(9), APH(4), APH(7'')) and many isozymes in each class, and although there is very little overall general sequence homology among these enzymes, certain signature residues and sequences are common. The recent determination of the three-dimensional structure of the broad spectrum aminoglycoside kinase APH(3')-IIIa complexed with the product ADP, in addition to mechanistic and mutagenic studies on this and related enzymes, has added a great deal to our understanding of this class of antibiotic resistance enzyme. In particular, the revelation of structural and mechanistic similarities between APHs and Ser/Thr and Tyr kinases has set the stage for future inhibition studies which could prove important in reversing aminoglycoside resistance.

Aminoglycosides↗
PubMed1998

New trends in antimicrobial development.

The continual evolution of microbial resistance to the available classes of antibiotics poses a serious threat to the efficacy of traditional antibacterial therapy. Today, there are two main approaches that are being applied to discover better and more effective anti-infective agents against common as well as resistant pathogens: (a) the improvement of the "classical" antimicrobial agents by targeting the so called "resistance factors", and (b) the search of new anti-infective agents with novel modes of actions. This review will highlight the most relevant aspects of both of these approaches and some of the latest findings in the field of antimicrobial discovery.

Anti-Bacterial Agents↗
PubMed1997

Molecular evolution and optimization.

Microbial populations (and life) not only evolve, they optimize. The transition from a random, unorganized, lifeless Earth to the present situation, where the Earth is virtually covered with nucleic acids and diverse and complex species, required numerous molecular changes and the integration of metabolic pathways over billions of years. Primitive prokaryotic life was dependent on and constrained by the physical-chemical conditions on the Earth, while slowly reshaping conditions present. In this review, molecular evolution and molecular optimization are examined with an emphasis on the order in which evolutionary events occurred.

Cells↗
PubMed2026

microntology: a lightweight, data-driven controlled vocabulary to describe earth's microbial habitats.

MOTIVATION: Data-enabled studies of microbial ecology and evolution depend on high-quality descriptions of microbial habitats, based on curated and consolidated vocabularies. RESULTS: We introduce microntology v1.0, a pragmatic controlled vocabulary of 148 terms to describe microbial habitats and lifestyles, and provide manually curated microntology annotations for >300k metagenomic samples from public repositories. AVAILABILITY: microntology controlled vocabulary terms and term hierarchies (doi: 10.5281/zenodo.19730167), and curated annotations for 305 626 metagenomic samples (doi: 10.5281/zenodo.18164252) are available via Zenodo and spire.embl.de/downloads. Underlying code is available via github.com/grp-schmidt/microntology and Zenodo (doi: 10.5281/zenodo.20323497). User feedback, suggestions and bug reports are welcome at github.com/grp-schmidt/microntology/issues.

Ecosystem↗
PubMed2026

De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag.

Ancient DNA provides a direct window into the evolutionary processes that have shaped living microbial species today, as well as their now extinct relatives. Advances in both sequencing methods and de novo assembly techniques have not only resulted in a flood of modern metagenomic sequencing data, but they have also allowed palaeogenomicists to retrieve vast amounts of ancient DNA from past microorganisms, including species and strains without modern reference genomes. However, the degraded nature of ancient DNA means that the standard techniques of genome assembly developed for modern DNA are unlikely to perform effectively, unless heavily modified. This hinders the incorporation of ancient data into broader metagenomic studies that would otherwise benefit from having deep time information on the evolution of different microbial species. In this primer and protocol paper, we provide guidance on ways to adapt existing metagenomic de novo assembly processes, including data input, tools, and settings, in order to perform more robustly and effectively on ancient DNA. After assembly, we then further describe how ancient DNA contigs can be identified and validated. The key steps of ancient metagenomic assembly are now integrated in a dedicated ancient DNA mode in the established pipeline nf-core/mag. By introducing support for ancient DNA data in nf-core/mag, we aim to improve the ability of researchers to more regularly integrate de novo assembled ancient microbial data into broader metagenomics studies of microbial ecology and evolution.

DNA, Ancient↗
PubMed1998

Bacterial nonspecific acid phosphohydrolases: physiology, evolution and use as tools in microbial biotechnology.

Bacterial nonspecific acid phosphohydrolases (NSAPs) are secreted enzymes, produced as soluble periplasmic proteins or as membrane-bound lipoproteins, that are usually able to dephosphorylate a broad array of structurally unrelated substrates and exhibit optimal catalytic activity at acidic to neutral pH values. Bacterial NSAPs are monomeric or oligomeric proteins containing polypeptide components with an M(r) of 25-30 kDa. On the basis of amino acid sequence relatedness, three different molecular families of NSAPs can be distinguished, indicated as molecular class A, B and C, respectively. Members of each class share some common biophysical and functional features, but may also exhibit functional differences. NSAPs have been detected in several microbial taxa, and enzymes of different classes can be produced by the same bacterial species. Structural and phyletic relationships exist among the various bacterial NSAPs and some other bacterial and eucaryotic phosphohydrolases. Current knowledge on bacterial NSAPs is reviewed, together with analytical tools that may be useful for their characterization. An overview is also presented concerning the use of bacterial NSAPs in biotechnology.

Acid Phosphatase↗
PubMed1999

Functional genomics and enzyme evolution. Homologous and analogous enzymes encoded in microbial genomes.

Computational analysis of complete genomes, followed by experimental testing of emerging hypotheses--the area of research often referred to as 'functional genomics'--aims at deciphering the wealth of information contained in genome sequences and at using it to improve our understanding of the mechanisms of cell function. This review centers on the recent progress in the genome analysis with special emphasis on the new insights in enzyme evolution. Standard methods of predicting functions for new proteins are listed and the common errors in their application are discussed. A new method of improving the functional predictions is introduced, based on a phylogenetic approach to functional prediction, as implemented in the recently constructed Clusters of Orthologous Groups (COG) database (available at http:@www.ncbi.nlm.nih.gov/COG). This approach provides a convenient way to characterize the protein families (and metabolic pathways) that are present or absent in any given organism. Comparative analysis of microbial genomes based on this approach shows that metabolic diversity generally correlates with the genome size-parasitic bacteria code for fewer enzymes and lesser number of metabolic pathways than their free-living relatives. Comparison of different genomes reveals another evolutionary trend, the non-orthologous gene displacement of some enzymes by unrelated proteins with the same cellular function. An examination of the phylogenetic distribution of such cases provides new clues to the problems of biochemical evolution, including evolution of glycolysis and the TCA cycle.

Databases, Factual↗
PubMed1993

Evolution of prokaryotic genomes.

Molecular genetics, which has its roots mainly in the development of microbial genetics in the middle of this century, not only greatly facilitates investigations of essential cellular functions, but also offers a means to better understand evolutionary progress. Spontaneous mutagenesis, the driving force of biological evolution, depends on a multitude of mechanistically distinct processes, many of which are already quite well understood. Often, enzymes act as variation generators, and natural gene vectors help to spread functional domains, entire genes and groups of genes across natural isolation barriers. In this overview, particular attention is given to comparing three selected natural strategies for the generation of genetic diversity: nucleotide substitution, DNA rearrangements, and gene acquisition. All of these mechanisms, as well as many others, appear to fulfill their specific roles in microbial evolution. Rather than being the result of an accumulation of errors, biological evolution may depend on a multitude of specific biological functions, as well as on a certain degree of intrinsic structural flexibility of biological molecules.

Biological Evolution↗
PubMed2000

Measurement of heat evolution and correlation with oxygen consumption during microbial growth. Reprinted from Biotechnology and Bioengineering, Vol. XI, Issue 3, Pages 269-281 (1968).

A procedure for measuring the rate of heat production from a fermentation has been developed. The method is based on measuring the rate of temperature rise of the fermentation broth resulting from metabolism, when the temperature controller is turned off. The heat accumulation measured in this manner is then corrected for heat losses and gains. A sensitive thermistor is used to follow the temperature rise with time. This procedure is shown to be as accurate as previous methods but much simpler in execution. Using this technique, the rate of heat production during metabolism was found to correlate with the rate of oxygen consumption. Experiments were performed using bacteria (E. coli and B. subtilis), a yeast (C. intermedia), and a mold (A. niger). The substrates investigated included glucose, molasses, and soy bean meal. The proportionality constant for the correlation is independent of the growth rate, slightly dependent on the substrate, and possibly dependent on the type of organism growth. This correlation has considerable potential for predicting heat evolution from the metabolism of microorganisms on simple or complex substrates and providing quantitative parameters necessary for heat removal calculations.

Aspergillus niger↗
PubMed1998

Abundant microsatellite polymorphism in Saccharomyces cerevisiae, and the different distributions of microsatellites in eight prokaryotes and S. cerevisiae, result from strong mutation pressures and a variety of selective forces.

We examined the distributions of short tandemly repeated DNAs (microsatellites) in nine complete microbial genomes (Saccharomyces cerevisiae, Archaeoglobus fulgidus, Escherichia coli, Haemophilus influenzae, Helicobacter pylori, Methanococcus jannaschii, Mycoplasma pneumoniae, M. genitalium, and Synechocystis PCC6803.) These repeats contribute differently to the global features of these genomes, and we explore the evolutionary implications of these differences by empirical examination of length polymorphisms at 20 long triplet-repeats repeats in S. cerevisiae, and by comparison of observed and expected repeat distributions. All of a sample of 20 microsatellites found in S. cerevisiae are highly polymorphic in length, suggesting that mutation pressure overcomes overall selection for small genome size that will tend to shorten or eliminate unnecessary DNA. By comparison, prokaryotes have fewer long repeats than expected, except for a few statistically improbable repeats that appear to function in gene regulation. Finally, we find that in all these genomes there is an excess of repeats shorter than those traditionally considered to be microsatellites. This finding suggests that even in prokaryotes these repeats are being generated by mutational pressures. These results have important potential implications for understanding genome stability and evolution in these microbial species.

Bacteria↗
PubMed1997

Strategies for whole microbial genome sequencing and analysis.

The introduction of methods for automated DNA sequence analysis nearly a decade ago, together with more recent advances in the field of bioinformatics, have revolutionized biology and medicine and have ushered in a new era of genomic science, the study of genes and genomes. These new technologies have had an impact on many areas of research, including the association between genes and disease, in DNA-based diagnostics, and in the sequencing of genomes from human and other model organisms. The demonstration in 1995, that automated DNA sequencing methods could be used to decipher the entire genome sequence of a free-living organism, Haemophilus influenzae, was a milestone in both the genomics and microbial fields [1]. Since the first report of the complete sequence of H. influenzae, these methodologies have been adopted by laboratories around the world. The complete genomic sequence of five eubacterial species [1-5], one archaea [6], and the eukaryote, Saccharomyces cerevisiae [7], have been reported in the last 18 months. At the beginning of 1997 more than a dozen microbial genome projects are at or near completion, with many others in progress. It is likely that in the next few years we will see the complete sequence of perhaps as many as 30-40 microbial genomes. In this article, we will review methods for whole genome sequencing and analysis and examine how this information can be exploited to better understand microbial physiology and evolution.

Base Sequence↗
PubMed2025

The role of mobile genetic elements in adaptation of the microbiota to the dynamic human gut ecosystem.

The human intestinal microbiota is a dynamic ecosystem shaped by extensive horizontal gene transfer, particularly in individuals from industrialized populations. In this review, we discuss recent advances in our understanding of how mobile genetic elements (MGEs) contribute to microbial ecology and evolution in this diverse community, focusing on MGEs carrying fitness-conferring genes. Bacteroidales species can colonize individuals for decades and serve as major hubs for MGE exchange. Most MGEs are highly variable across individuals and geographies. Occasionally, conserved MGEs can spread across geography and lifestyles. Functional characterizations of MGEs reveal their roles in antibiotic resistance, interbacterial antagonism, biofilm formation, immune evasion, and nutrient acquisition, among others. Substantive progress in our understanding of MGEs in the gut microbiome offers promising avenues for therapeutic microbiome interventions. However, major challenges remain in functional prediction, host-MGE linkage, and experimental characterization.

Humans↗
PubMed1997

Evolution of high mutation rates in experimental populations of E. coli.

Most mutations are likely to be deleterious, and so the spontaneous mutation rate is generally held at a very low value. Nonetheless, evolutionary theory predicts that high mutation rates can evolve under certain circumstances. Empirical observations have previously been limited to short-term studies of the fates of mutator strains deliberately introduced into laboratory populations of Escherichia coli, and to the effects of intense selective events on mutator frequencies in E. coli. Here we report the rise of spontaneously originated mutators in populations of E. coli undergoing long-term adaptation to a new environment. Our results corroborate computer simulations of mutator evolution in adapting clonal populations, and may help to explain observations that associate high mutation rates with emerging pathogens and with certain cancers.

Adaptation, Physiological↗