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1.
G3 (Bethesda) ; 8(3): 815-822, 2018 03 02.
Article in English | MEDLINE | ID: mdl-29305388

ABSTRACT

Received wisdom in the field of fungal biology holds that the process of editing a genome by transformation and homologous recombination is inherently mutagenic. However, that belief is based on circumstantial evidence. We provide the first direct measurement of the effects of transformation on a fungal genome by sequencing the genomes of 29 transformants and 30 untransformed controls with high coverage. Contrary to the received wisdom, our results show that transformation of DNA segments flanked by long targeting sequences, followed by homologous recombination and selection for a drug marker, is extremely safe. If a transformation deletes a gene, that may create selective pressure for a few compensatory mutations, but even when we deleted a gene, we found fewer than two point mutations per deletion strain, on average. We also tested these strains for changes in gene expression and found only a few genes that were consistently differentially expressed between the wild type and strains modified by genomic insertion of a drug resistance marker. As part of our report, we provide the assembled genome sequence of the commonly used laboratory strain Cryptococcus neoformans var. grubii strain KN99α.


Subject(s)
Cryptococcus neoformans/genetics , Transformation, Genetic , DNA Copy Number Variations , Gene Deletion , Gene Expression Regulation, Fungal , Genome, Fungal , Genomics , High-Throughput Nucleotide Sequencing , Mutagenesis, Insertional , Phenotype , Reverse Genetics , Sequence Analysis, DNA , Sequence Deletion
2.
Proc Natl Acad Sci U S A ; 113(47): E7428-E7437, 2016 11 22.
Article in English | MEDLINE | ID: mdl-27810962

ABSTRACT

The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed an algorithm, NetSurgeon, which uses genome-wide gene-regulatory networks to identify interventions that force a cell toward a desired expression state. We first validated NetSurgeon extensively on existing datasets. Next, we used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in Saccharomyces cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional state of cells using xylose toward that of cells producing large amounts of ethanol from glucose might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism.


Subject(s)
Gene Deletion , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae/growth & development , Transcription Factors/genetics , Algorithms , Ethanol/metabolism , Fermentation , Gene Regulatory Networks , Glucose/metabolism , Metabolic Engineering , Models, Genetic , Saccharomyces cerevisiae/genetics , Transcriptome , Xylose/metabolism
3.
mBio ; 7(2): e00313-16, 2016 Apr 19.
Article in English | MEDLINE | ID: mdl-27094327

ABSTRACT

UNLABELLED: Cryptococcus neoformans is a ubiquitous, opportunistic fungal pathogen that kills over 600,000 people annually. Here, we report integrated computational and experimental investigations of the role and mechanisms of transcriptional regulation in cryptococcal infection. Major cryptococcal virulence traits include melanin production and the development of a large polysaccharide capsule upon host entry; shed capsule polysaccharides also impair host defenses. We found that both transcription and translation are required for capsule growth and that Usv101 is a master regulator of pathogenesis, regulating melanin production, capsule growth, and capsule shedding. It does this by directly regulating genes encoding glycoactive enzymes and genes encoding three other transcription factors that are essential for capsule growth: GAT201, RIM101, and SP1. Murine infection with cryptococci lacking Usv101 significantly alters the kinetics and pathogenesis of disease, with extended survival and, unexpectedly, death by pneumonia rather than meningitis. Our approaches and findings will inform studies of other pathogenic microbes. IMPORTANCE: Cryptococcus neoformans causes fatal meningitis in immunocompromised individuals, mainly HIV positive, killing over 600,000 each year. A unique feature of this yeast, which makes it particularly virulent, is its polysaccharide capsule; this structure impedes host efforts to combat infection. Capsule size and structure respond to environmental conditions, such as those encountered in an infected host. We have combined computational and experimental tools to elucidate capsule regulation, which we show primarily occurs at the transcriptional level. We also demonstrate that loss of a novel transcription factor alters virulence factor expression and host cell interactions, changing the lethal condition from meningitis to pneumonia with an exacerbated host response. We further demonstrate the relevant targets of regulation and kinetically map key regulatory and host interactions. Our work elucidates mechanisms of capsule regulation, provides methods and resources to the research community, and demonstrates an altered pathogenic outcome that resembles some human conditions.


Subject(s)
Cryptococcosis/microbiology , Cryptococcus neoformans/pathogenicity , Fungal Proteins/metabolism , Gene Expression Regulation, Fungal , Transcription Factors/metabolism , Animals , Computational Biology , Cryptococcus neoformans/genetics , Cryptococcus neoformans/metabolism , Female , Fungal Proteins/genetics , Gene Regulatory Networks , Humans , Melanins/metabolism , Mice , Transcription Factors/genetics , Virulence
4.
Genome Res ; 25(5): 690-700, 2015 May.
Article in English | MEDLINE | ID: mdl-25644834

ABSTRACT

Key steps in understanding a biological process include identifying genes that are involved and determining how they are regulated. We developed a novel method for identifying transcription factors (TFs) involved in a specific process and used it to map regulation of the key virulence factor of a deadly fungus-its capsule. The map, built from expression profiles of 41 TF mutants, includes 20 TFs not previously known to regulate virulence attributes. It also reveals a hierarchy comprising executive, midlevel, and "foreman" TFs. When grouped by temporal expression pattern, these TFs explain much of the transcriptional dynamics of capsule induction. Phenotypic analysis of TF deletion mutants revealed complex relationships among virulence factors and virulence in mice. These resources and analyses provide the first integrated, systems-level view of capsule regulation and biosynthesis. Our methods dramatically improve the efficiency with which transcriptional networks can be analyzed, making genomic approaches accessible to laboratories focused on specific physiological processes.


Subject(s)
Chromosome Mapping/methods , Gene Regulatory Networks , Virulence Factors/genetics , Animals , Cryptococcus neoformans/genetics , Cryptococcus neoformans/pathogenicity , Female , Fungal Proteins/genetics , Mice , Mice, Inbred C57BL , Models, Genetic , Transcription Factors/genetics
5.
Eukaryot Cell ; 13(6): 832-42, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24747214

ABSTRACT

Cryptococcus neoformans is an opportunistic yeast responsible for lethal meningoencephalitis in humans. This pathogen elaborates a polysaccharide capsule, which is its major virulence factor. Mannose constitutes over one-half of the capsule mass and is also extensively utilized in cell wall synthesis and in glycosylation of proteins and lipids. The activated mannose donor for most biosynthetic reactions, GDP-mannose, is made in the cytosol, although it is primarily consumed in secretory organelles. This compartmentalization necessitates specific transmembrane transporters to make the donor available for glycan synthesis. We previously identified two cryptococcal GDP-mannose transporters, Gmt1 and Gmt2. Biochemical studies of each protein expressed in Saccharomyces cerevisiae showed that both are functional, with similar kinetics and substrate specificities in vitro. We have now examined these proteins in vivo and demonstrate that cells lacking Gmt1 show significant phenotypic differences from those lacking Gmt2 in terms of growth, colony morphology, protein glycosylation, and capsule phenotypes. Some of these observations may be explained by differential expression of the two genes, but others suggest that the two proteins play overlapping but nonidentical roles in cryptococcal biology. Furthermore, gmt1 gmt2 double mutant cells, which are unexpectedly viable, exhibit severe defects in capsule synthesis and protein glycosylation and are avirulent in mouse models of cryptococcosis.


Subject(s)
Carrier Proteins/metabolism , Cryptococcus neoformans/metabolism , Fungal Proteins/metabolism , Animals , Carrier Proteins/genetics , Cryptococcus neoformans/genetics , Cryptococcus neoformans/growth & development , Cryptococcus neoformans/pathogenicity , Fungal Proteins/genetics , Mice , Virulence/genetics
6.
PLoS Pathog ; 7(12): e1002411, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22174677

ABSTRACT

Cryptococcus neoformans is an opportunistic fungal pathogen that causes serious human disease in immunocompromised populations. Its polysaccharide capsule is a key virulence factor which is regulated in response to growth conditions, becoming enlarged in the context of infection. We used microarray analysis of cells stimulated to form capsule over a range of growth conditions to identify a transcriptional signature associated with capsule enlargement. The signature contains 880 genes, is enriched for genes encoding known capsule regulators, and includes many uncharacterized sequences. One uncharacterized sequence encodes a novel regulator of capsule and of fungal virulence. This factor is a homolog of the yeast protein Ada2, a member of the Spt-Ada-Gcn5 Acetyltransferase (SAGA) complex that regulates transcription of stress response genes via histone acetylation. Consistent with this homology, the C. neoformans null mutant exhibits reduced histone H3 lysine 9 acetylation. It is also defective in response to a variety of stress conditions, demonstrating phenotypes that overlap with, but are not identical to, those of other fungi with altered SAGA complexes. The mutant also exhibits significant defects in sexual development and virulence. To establish the role of Ada2 in the broader network of capsule regulation we performed RNA-Seq on strains lacking either Ada2 or one of two other capsule regulators: Cir1 and Nrg1. Analysis of the results suggested that Ada2 functions downstream of both Cir1 and Nrg1 via components of the high osmolarity glycerol (HOG) pathway. To identify direct targets of Ada2, we performed ChIP-Seq analysis of histone acetylation in the Ada2 null mutant. These studies supported the role of Ada2 in the direct regulation of capsule and mating responses and suggested that it may also play a direct role in regulating capsule-independent antiphagocytic virulence factors. These results validate our experimental approach to dissecting capsule regulation and provide multiple targets for future investigation.


Subject(s)
Cryptococcus neoformans/pathogenicity , Fungal Proteins/metabolism , Histone Acetyltransferases/metabolism , Polysaccharides/metabolism , Amino Acid Sequence , Animals , Chromatin Immunoprecipitation , Cryptococcosis/genetics , Cryptococcosis/metabolism , Cryptococcus neoformans/genetics , Cryptococcus neoformans/metabolism , Female , Fungal Proteins/genetics , Gene Expression Profiling , Gene Expression Regulation, Fungal , Histone Acetyltransferases/genetics , Mice , Mice, Inbred C57BL , Microscopy, Fluorescence , Molecular Sequence Data , Polysaccharides/genetics , Sequence Homology, Amino Acid , Transcription, Genetic , Virulence/genetics , Virulence Factors/genetics , Virulence Factors/metabolism
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