Impact of Current Genome Projects on the Study of Pathogenic and Allergenic Fungi

2002 ◽  
pp. 5-9 ◽  
Author(s):  
M. Breitenbach ◽  
R. Crameri ◽  
S.B. Lehrer
Keyword(s):  
Allergenic Fungi ◽  
Genome Projects

scholarly journals IGD: high-performance search for large-scale genomic interval datasets

2020 ◽  
Author(s):  
Jianglin Feng ◽  
Nathan C Sheffield
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Interval Data ◽  
Scale Analysis ◽  
Genome Database ◽  
Genomic Interval ◽  
Critical Resource ◽  
Genomic Regions ◽  
Genome Projects

Abstract Summary Databases of large-scale genome projects now contain thousands of genomic interval datasets. These data are a critical resource for understanding the function of DNA. However, our ability to examine and integrate interval data of this scale is limited. Here, we introduce the integrated genome database (IGD), a method and tool for searching genome interval datasets more than three orders of magnitude faster than existing approaches, while using only one hundredth of the memory. IGD uses a novel linear binning method that allows us to scale analysis to billions of genomic regions. Availability https://github.com/databio/IGD

scholarly journals The Autophagy Machinery in Human-Parasitic Protists; Diverse Functions for Universally Conserved Proteins

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1258
Author(s):  
Hirokazu Sakamoto ◽  
Kumiko Nakada-Tsukui ◽  
Sébastien Besteiro
Keyword(s):  
Membrane Vesicle ◽  
Model Organisms ◽  
Unicellular Eukaryotes ◽  
Current State ◽  
Important Challenge ◽  
Molecular Machinery ◽  
Cellular Machinery ◽  
Apparent Reduction ◽  
Related Proteins ◽  
Genome Projects

Autophagy is a eukaryotic cellular machinery that is able to degrade large intracellular components, including organelles, and plays a pivotal role in cellular homeostasis. Target materials are enclosed by a double membrane vesicle called autophagosome, whose formation is coordinated by autophagy-related proteins (ATGs). Studies of yeast and Metazoa have identified approximately 40 ATGs. Genome projects for unicellular eukaryotes revealed that some ATGs are conserved in all eukaryotic supergroups but others have arisen or were lost during evolution in some specific lineages. In spite of an apparent reduction in the ATG molecular machinery found in parasitic protists, it has become clear that ATGs play an important role in stage differentiation or organelle maintenance, sometimes with an original function that is unrelated to canonical degradative autophagy. In this review, we aim to briefly summarize the current state of knowledge in parasitic protists, in the light of the latest important findings from more canonical model organisms. Determining the roles of ATGs and the diversity of their functions in various lineages is an important challenge for understanding the evolutionary background of autophagy.

scholarly journals Dynamics and Innovations within Oomycete Genomes: Insights into Biology, Pathology, and Evolution

2012 ◽  
Vol 11 (11) ◽  
pp. 1304-1312 ◽  
Author(s):  
Howard S. Judelson
Keyword(s):  
Protein Sequence ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Life Cycles ◽  
Aquatic Environments ◽  
Gene Fusions ◽  
Additional Species ◽  
Functional Studies ◽  
Eukaryotic Microbes ◽  
Genome Projects

ABSTRACT The eukaryotic microbes known as oomycetes are common inhabitants of terrestrial and aquatic environments and include saprophytes and pathogens. Lifestyles of the pathogens extend from biotrophy to necrotrophy, obligate to facultative pathogenesis, and narrow to broad host ranges on plants or animals. Sequencing of several pathogens has revealed striking variation in genome size and content, a plastic set of genes related to pathogenesis, and adaptations associated with obligate biotrophy. Features of genome evolution include repeat-driven expansions, deletions, gene fusions, and horizontal gene transfer in a landscape organized into gene-dense and gene-sparse sectors and influenced by transposable elements. Gene expression profiles are also highly dynamic throughout oomycete life cycles, with transcriptional polymorphisms as well as differences in protein sequence contributing to variation. The genome projects have set the foundation for functional studies and should spur the sequencing of additional species, including more diverse pathogens and nonpathogens.

Genome Projects of Model Organisms

2001 ◽  
pp. 5-40
Author(s):  
Alfred Pühler ◽  
Doris Jording ◽  
Jörn Kalinowski ◽  
Detlev Buttgereit ◽  
Renate Renkawitz‐Pohl ◽  
...  
Keyword(s):  
Model Organisms ◽  
Genome Projects

scholarly journals ASPic-GeneID: A Lightweight Pipeline for Gene Prediction and Alternative Isoforms Detection

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Tyler Alioto ◽  
Ernesto Picardi ◽  
Roderic Guigó ◽  
Graziano Pesole
Keyword(s):  
Ab Initio ◽  
Gene Annotation ◽  
Gene Prediction ◽  
Gene Prediction Program ◽  
C Elegans ◽  
Prediction Program ◽  
First Pass ◽  
Main Components ◽  
Genome Projects ◽  
Alternative Isoforms

New genomes are being sequenced at an increasingly rapid rate, far outpacing the rate at which manual gene annotation can be performed. Automated genome annotation is thus necessitated by this growth in genome projects; however, full-fledged annotation systems are usually home-grown and customized to a particular genome. There is thus a renewed need for accurateab initiogene prediction methods. However, it is apparent that fullyab initiomethods fall short of the required level of sensitivity and specificity for a quality annotation. Evidence in the form of expressed sequences gives the single biggest improvement in accuracy when used to inform gene predictions. Here, we present a lightweight pipeline for first-pass gene prediction on newly sequenced genomes. The two main components are ASPic, a program that derives highly accurate, albeit not necessarily complete, EST-based transcript annotations from EST alignments, and GeneID, a standard gene prediction program, which we have modified to take as evidence intron annotations. The introns output by ASPic CDS predictions is given to GeneID to constrain the exon-chaining process and produce predictions consistent with the underlying EST alignments. The pipeline was successfully tested on the entireC. elegansgenome and the 44 ENCODE human pilot regions.

scholarly journals A Deep Dive into Genome Assemblies of Non-vertebrate Animals

2021 ◽  
Author(s):  
Nadège Guiglielmoni ◽  
Ramón Rivera-Vicéns ◽  
Romain Koszul ◽  
Jean-François Flot
Keyword(s):  
Genome Assembly ◽  
Current Knowledge ◽  
Genome Structure ◽  
Deep Dive ◽  
Sequencing Technologies ◽  
Current State ◽  
Animal Diversity ◽  
And Function ◽  
Genome Assemblies ◽  
Genome Projects

Non-vertebrate species represent about ~95% of known metazoan (animal) diversity. They remain to this day relatively unexplored genetically, but understanding their genome structure and function is pivotal for expanding our current knowledge of evolution, ecology and biodiversity. Following the continuous improvements and decreasing costs of sequencing technologies, many genome assembly tools have been released, leading to a significant amount of genome projects being completed in recent years. In this review, we examine the current state of genome projects of non-vertebrate animal species. We present an overview of available sequencing technologies, assembly approaches, as well as pre and post-processing steps, genome assembly evaluation methods, and their application to non-vertebrate animal genomes.

Status of genome projects for nonpathogenic bacteria and archaea

10.1038/80235 ◽  
2000 ◽  
Vol 18 (10) ◽  
pp. 1049-1054 ◽  
Author(s):  
Karen E. Nelson ◽  
Ian T. Paulsen ◽  
John F. Heidelberg ◽  
Claire M. Fraser
Keyword(s):  
Genome Projects

Bridging the gap between theory and practice in elucidating modular gene regulatory sequence organisation within genomes

Genome ◽  
2020 ◽  
Vol 63 (6) ◽  
pp. 281-289
Author(s):  
Kelly Seto ◽  
Wendy Mok ◽  
Jonny Stone
Keyword(s):  
Promoter Region ◽  
Morphological Evolution ◽  
Theory And Practice ◽  
Regulatory Sequence ◽  
Promoter Regions ◽  
Evolutionary Transitions ◽  
Computational Research ◽  
Theoretical Considerations ◽  
Region Evolution ◽  
Genome Projects

Changes to promoter regions probably have been responsible for many morphological evolutionary transitions, especially in animals. This idea is becoming testable, as data from genome projects amass and enable bioinformaticians to conduct comparative sequence analyses and test for correlations between genotypic similarities or differences and phenotypic likeness or disparity. Although such practical pursuits have initiated some theoretical considerations, a conceptual framework for understanding promoter region evolution, potentially effecting morphological evolution, is only starting to emerge, predominantly resulting from computational research. We contribute to this framework by specifying three big problems for promoter region research; reviewing computational research on promoter region evolution; and exemplifying a topic for future promoter region research — module evolution.

scholarly journals Purification, Reconstitution, and Inhibition of Cytochrome P-450 Sterol Δ22-Desaturase from the Pathogenic Fungus Candida glabrata

1999 ◽  
Vol 43 (7) ◽  
pp. 1725-1728 ◽  
Author(s):  
David C. Lamb ◽  
Segula Maspahy ◽  
Diane E. Kelly ◽  
Nigel J. Manning ◽  
Antonia Geber ◽  
...  
Keyword(s):  
Candida Glabrata ◽  
Desaturase Activity ◽  
Pathogenic Fungus ◽  
Kinetic Studies ◽  
Gene Encoding ◽  
Fungal Cell ◽  
Total Inhibition ◽  
Reconstituted System ◽  
Cytochrome P 450 ◽  
Genome Projects

ABSTRACT Sterol Δ22-desaturase has been purified from a strain of Candida glabrata with a disruption in the gene encoding sterol 14α-demethylase (cytochrome P-45051; CYP51). The purified cytochrome P-450 exhibited sterol Δ22-desaturase activity in a reconstituted system with NADPH–cytochrome P-450 reductase in dilaurylphosphatidylcholine, with the enzyme kinetic studies revealing a Km for ergosta-5,7-dienol of 12.5 μM and aV max of 0.59 nmol of this substrate metabolized/min/nmol of P-450. This enzyme is encoded by CYP61 (ERG5) in Saccharomyces cerevisiae, and homologues have been shown in the Candida albicans andSchizosaccharomyces pombe genome projects. Ketoconazole, itraconazole, and fluconazole formed low-spin complexes with the ferric cytochrome and exhibited type II spectra, which are indicative of an interaction between the azole moiety and the cytochrome heme. The azole antifungal compounds inhibited reconstituted sterol Δ22-desaturase activity by binding to the cytochrome with a one-to-one stoichiometry, with total inhibition of enzyme activity occurring when equimolar amounts of azole and cytochrome P-450 were added. These results reveal the potential for sterol Δ22-desaturase to be an antifungal target and to contribute to the binding of drugs within the fungal cell.

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