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At least 19 recordsLinked to original sources
PubMed2005

Comparison of the yeast proteome to other fungal genomes to find core fungal genes.

The purpose of this research was to search for evolutionarily conserved fungal sequences to test the hypothesis that fungi have a set of core genes that are not found in other organisms, as these genes may indicate what makes fungi different from other organisms. By comparing 6355 predicted or known yeast (Saccharomyces cerevisiae) genes to the genomes of 13 other fungi using Standalone TBLASTN at an e-value <1E-5, a list of 3340 yeast genes was obtained with homologs present in at least 12 of 14 fungal genomes. By comparing these common fungal genes to complete genomes of animals (Fugu rubripes, Caenorhabditis elegans), plants (Arabidopsis thaliana, Oryza sativa), and bacteria (Agrobacterium tumefaciens, Xylella fastidiosa), a list of common fungal genes with homologs in these plants, animals, and bacteria was produced (938 genes), as well as a list of exclusively fungal genes without homologs in these other genomes (60 genes). To ensure that the 60 genes were exclusively fungal, these were compared using TBLASTN to the major sequence databases at GenBank: NR (nonredundant), EST (expressed sequence tags), GSS (genome survey sequences), and HTGS (unfinished high-throughput genome sequences). This resulted in 17 yeast genes with homologs in other fungal genomes, but without known homologs in other organisms. These 17 core, fungal genes were not found to differ from other yeast genes in GC content or codon usage patterns. More intensive study is required of these 17 genes and other common fungal genes to discover unique features of fungi compared to other organisms.

Computational Biology↗
PubMed1999

Degenerate MAGGY elements in a subgroup of Pyricularia grisea: a possible example of successful capture of a genetic invader by a fungal genome.

The LTR-retrotransposon MAGGY is found sporadically in isolates of Pyricularia grisea (Magnaporthe grisea). Based on a dendrogram constructed by RFLP analysis of rDNA, isolates that carry MAGGY elements were classified into a single cluster that comprised four rDNA types. However, in a few members of this cluster, exemplified by isolates from common millet (Panicum miliaceum), the MAGGY element has distinct features. Southern analysis suggested that these isolates possessed a single copy of a MAGGY-related sequence whose restriction map differed from that of MAGGY itself. Sequence analysis revealed that the MAGGY-related sequence was a degenerate form of MAGGY, characterized by numerous C:G to T:A transitions, which have often been reported to result from RIP (Repeat-induced point mutation) or RIP-like processes. However, the favored target site for C:G to T:A transitions in this fungus, determined by examining a total of 501 sites, was (A/T)pCp(A/T), which differs from that for the RIP process originally reported in Neurospora (CpA), and from that reported in Aspergillus (CpG). The fact that certain members of the cluster of MAGGY carriers retain a single copy of a degenerate MAGGY element implies that the ancestor of these isolates successfully "captured" the invading MAGGY element.

Amino Acid Sequence↗
PubMed2005

Variation in the pattern of synonymous and nonsynonymous difference between two fungal genomes.

The proportion of synonymous nucleotide differences per synonymous site (p(S)) and the proportion of nonsynonymous differences per nonsynonymous site (p(N)) were computed at 1,993,217 individual codons in 4,133 protein-coding genes between the two yeast species Saccharomyces cerevisiae and Saccharomyces paradoxus. When the modified Nei-Gojobori method was used, significantly more codons with p(N) > p(S) were observed than expected, based on random pairing of observed p(S) and p(N) values. However, this finding was most likely explained by the presence of a strong negative correlation between the number of synonymous differences and the number of nonsynonymous differences at codons with at least one difference. As a result of this correlation, codons with p(N) > p(S) were characterized not only by unusually high p(N) but also by unusually low p(S). On the other hand, the number of codons with p(N)>p(S) (where p(S) is the mean p(S) for all codons) was very similar to the random expectation, and the observed number of 30-codon windows with p(N) > p(S) was significantly lower than the random expectation. These results imply that the occurrence of a certain number of codons or codon windows with p(N) > p(S) is expected given the nature of nucleotide substitution and need not imply the action of positive Darwinian selection.

Codon↗
PubMed2007

The first filamentous fungal genome sequences: Aspergillus leads the way for essential everyday resources or dusty museum specimens?

The published Aspergillus genome sequences (A. nidulans, A. fumigatus, A. oryzae) and further sequence data from A. clavatus, Neosartorya fischeri, A. flavus, A. niger, A. parasiticus and A. terreus are the first from a group of related filamentous fungi. They indicate the gains possible from genomic approaches, but also problems that arise after the sequences are finished. Benefits include a greater understanding of genome structure and evolution, insights into gene regulation, predictions of new factors that may be relevant to pathogenicity and the discovery of novel enzymes with biotechnological value. Areas where further developments are needed include gene and structure-function predictions, methods for comparative genome analysis and the interfaces for access to genome information. In addition, strategies for continued maintenance and updating need to be developed at the start of the post-genomic era to increase the value of genome sequences into the future.

Aspergillus↗
PubMed2004

A comparison of the nature and abundance of microsatellites in 14 fungal genomes.

An overview of the character of microsatellites in 14 fungal genomes was obtained by analyzing databases containing complete or nearly complete genome sequences. Low GC content, rather than genome size, was the best predictor of high microsatellite density, although very long iterations of tandem repeats were less common in small genomes. Motif type correlated with %GC in that low-GC genomes were more likely to be dominated by A/T-rich motifs, and vice versa, although some exceptions were noted. The experimentally useful dinucleotide and trinucleotide arrays were analyzed in greater detail. Although these varied in sequence and length among fungal species, some that are likely to be universally useful were identified. This information will be useful for researchers wanting to identify the most useful microsatellites to analyze for the fungi included in this survey and provides a platform for choosing microsatellites to target in fungi that are not yet sequenced.

Base Sequence↗
PubMed2001

Fungal genomics and pathogenicity.

The filamentous fungal genetics community has enthusiastically embraced the utilization of genomics technologies to resolve long-standing issues in fungal biology. For example, such technologies have been proposed to study the mechanics of tip growth, photoreception, gene silencing, the molecular basis of conidiation, the pathway leading to sexual reproduction, and mechanisms of pathogenesis. These studies have provided a refreshing change of pace in research on filamentous fungi, which has lagged behind that on other eukaryotes in the exploitation of genome-wide methodologies. Despite the late start, several fungal genome sequencing projects are underway. The resulting databases will allow the comprehensive analysis of developmental processes that are characteristic of fungi, including the molecular nature of pathogenicity. DNA databases underpin analyses of the fungal transcriptome, proteome, and metabolome. This combined information will contribute to our basic understanding of not only the mechanics of infection but also the evolution of pathogenicity.

Calcium-Binding Proteins↗
PubMed1997

Multicellular ascomycetous fungal genomes contain more than 8000 genes.

Fungi comprise a large monophyletic group of uni- and multicellular eukaryotic organisms in which many species are of economic or medical importance. Fungal genomes are variable in size (13-42 Mb), and multicellular species support true spatial and temporal cell-type-specific regulation of gene expression. In a 38.8-kb Aspergillus nidulans contiguous genomic DNA region, a transposable element and 12 potential genes were identified, 7 similar to genes in other organisms. This observation is consistent with the prediction that multicellular ascomycetous fungi harbor 8000-9000 genes in a 36-Mb average genome. Thus, the genomic DNA sequence of filamentous fungi will provide substantial amounts of genetic and functional information that is not available in yeast, for the human and other metazoan minimal gene complement.

Animals↗
PubMed2004

Survey of simple sequence repeats in completed fungal genomes.

The use of simple sequence repeats or microsatellites as genetic markers has become very popular because of their abundance and length variation between different individuals. SSRs are tandem repeat units of 1 to 6 base pairs that are found abundantly in many prokaryotic and eukaryotic genomes. This is the first study examining and comparing SSRs in completely sequenced fungal genomes. We analyzed and compared the occurrences, relative abundance, relative density, most common, and longest SSRs in nine taxonomically different fungal species: Aspergillus nidulans, Cryptococcus neoformans, Encephalitozoon cuniculi, Fusarium graminearum, Magnaporthe grisea, Neurospora crassa, Saccharomyces cerevisiae, Schizosaccharomyces pombe, and Ustilago maydis. Our analysis revealed that, in all of the genomes studied, the occurrence, abundance, and relative density of SSRs varied and was not influenced by the genome sizes. No correlation between relative abundance and the genome sizes was observed, but it was shown that N. crassa, the largest genome analyzed had the highest relative abundance of SSRs. In most genomes, mononucleotide, dinucleotide, and trinucleotide repeats were more abundant than the longer repeated SSRs. Generally, in each organism, the occurrence, relative abundance, and relative density of SSRs decreased as the repeat unit increased. Furthermore, each organism had its own common and longest SSRs. Our analysis showed that the relative abundance of SSRs in fungi is low compared with the human genome and that longer SSRs in fungi are rare. In addition to providing new information concerning the abundance of SSRs for each of these fungi, the results provide a general source of molecular markers that could be useful for a variety of applications such as population genetics and strain identification of fungal organisms.

Fungi↗
PubMed2006

On the varied pattern of evolution of 2 fungal genomes: a critique of Hughes and Friedman.

A number of statistical tests have been proposed to detect positive Darwinian selection affecting a few amino acid sites in a protein, exemplified by an excess of nonsynonymous nucleotide substitutions. These tests are often more powerful than pairwise sequence comparison, which averages synonymous (d(S)) and nonsynonymous (d(N)) rates over the whole gene. In a recent study, however, Hughes AL and Friedman R (2005. Variation in the pattern of synonymous and nonsynonymous difference between two fungal genomes. Mol Bio Evol. 22: 1320-1324) argue that d(S) and d(N) are expected to fluctuate along the sequence by chance and that an excess of nonsynonymous differences in individual codons is no evidence for positive selection. The authors compared codons in protein-coding genes from the genomes of 2 yeast species, Saccharomyces cerevisiae and Saccharomyces paradoxus. They calculated the proportions of synonymous and nonsynonymous differences per site (p(S) and p(N)) in every codon and discovered that p(N) is often greater than p(S) and that among some codons p(S) and p(N) are negatively correlated. The authors argued that these results invalidate previous tests of codons under positive selection. Here I discuss several errors of statistics in the analysis of Hughes and Friedman, including confusion of statistics with parameters, arbitrary data filtering, and derivation of hypotheses from data. I also apply likelihood ratio tests of positive selection to the yeast data and illustrate empirically that Hughes and Friedman's criticisms on such tests are not valid.

Bias↗
PubMed1996

The Use of Rare-Cutting Endonucleases in Electrophoretic Karyotyping of Fungal Genomes

A method for the fast and reliable restriction analysis of intact fungal chromosomes is presented. For this purpose rare-cutting restriction enzymes of pro- and eukaryotic origin were used. Restriction fragments were separated on pulsed-field gels. Complete inactivation of proteinases remaining from chromosome preparations was crucial in this attempt. Rare-cutting restriction enzymes were employed to demonstrate the applicability of this procedure to the analysis of complex fungal genomes. This includes the localization of genes on discrete chromosomal fragments,the identification of telomeric restriction fragments, and the analysis of fungal transformants.

Journal Article↗
PubMed2005

Fungal genomics: forensic evidence of sexual activity.

The genome sequence of the 'asexual' human pathogenic fungus Aspergillus fumigatus suggests it has the capability to undergo mating and meiosis. That this organism engages in clandestine sexual activity is also suggested by observations of two equally distributed complementary mating types in nature, the expression of mating type genes and evidence of recent genome recombination events.

Animals↗
PubMed2006

Pulsed-field gel electrophoresis: a versatile tool for analysis of fungal genomes. A review.

The separation of chromosome-size DNA molecules by pulsed-field gel electrophoresis (PFGE) has become a well-established technique in recent years. Although it has very wide-ranging applications, it made a real breakthrough for fungal genome analysis. Because of the small size of fungal chromosomes, their investigation was not possible earlier. Different PFGE approaches allowed the separation of DNA molecules larger than 10 megabase pairs in size, and electrophoretic karyotypes for numerous previously genetically uncharacterized fungal species could be established. This review discusses the applicability of these electrophoretic karyotypes for the investigation of genome structure, for strain identification and for species delimitation.

Chromosomes, Fungal↗
PubMed2000

A simple method for extraction of fungal genomic DNA.

We have developed a new, simple and effective method for extraction of fungal genomic DNA. The initial steps involved suspension of freeze-dried mycelium in buffer containing sodium dodecyl sulphate, detachment of DNA from polysaccharides by mild shearing, NaCl precipitation of polysaccharides and protein, chloroform extraction and ethanol precipitation. The ethanol precipitate was then subjected to a second round of mild shearing, NaCl precipitation, chloroform extraction and ethanol precipitation. The procedure required approximately 1 h to perform. The method yielded 8-32 microg of high molecular weight DNA per 30 mg of freeze-dried mycelium when tested on six fungal species: Aspergillus niger, A. flavus, Fusarium graminarum, Neotyphodium lolii, Penicillium citrinum and Rhizopus nigricanes. The DNA was digestible with EcoRI, HindIII, SalI and BamHI. For the slow-growing N. lolii, a modification of the method was developed that removed the agar residue from colonies grown on agar plates by centrifugation at 13 000 rev min(-1) in the presence of CsCl. The modified method yielded 1.5-2 microg of high molecular weight DNA per colony.

Aspergillus flavus↗
PubMed2006

Predicting essential genes in fungal genomes.

Essential genes are required for an organism's viability, and the ability to identify these genes in pathogens is crucial to directed drug development. Predicting essential genes through computational methods is appealing because it circumvents expensive and difficult experimental screens. Most such prediction is based on homology mapping to experimentally verified essential genes in model organisms. We present here a different approach, one that relies exclusively on sequence features of a gene to estimate essentiality and offers a promising way to identify essential genes in unstudied or uncultured organisms. We identified 14 characteristic sequence features potentially associated with essentiality, such as localization signals, codon adaptation, GC content, and overall hydrophobicity. Using the well-characterized baker's yeast Saccharomyces cerevisiae, we employed a simple Bayesian framework to measure the correlation of each of these features with essentiality. We then employed the 14 features to learn the parameters of a machine learning classifier capable of predicting essential genes. We trained our classifier on known essential genes in S. cerevisiae and applied it to the closely related and relatively unstudied yeast Saccharomyces mikatae. We assessed predictive success in two ways: First, we compared all of our predictions with those generated by homology mapping between these two species. Second, we verified a subset of our predictions with eight in vivo knockouts in S. mikatae, and we present here the first experimentally confirmed essential genes in this species.

Computational Biology↗