Penicillium species
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA510622 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8521260_1.fastq.gz | Fastqsanger.gz | |||
| SRR8521260_2.fastq.gz | Fastqsanger.gz | |||
| SRR8521251_1.fastq.gz | Fastqsanger.gz | |||
| SRR8521251_2.fastq.gz | Fastqsanger.gz | |||
| SRR8521261_1.fastq.gz | Fastqsanger.gz |
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Project description:RNA-seq was used in combination with various analytical chemistry approaches to identify the chemical and genetic basis of pigment production of the bacterium Glutamicibacter arilaitensis when growing on cheese. This bacterium commonly found in cheese rinds where it co-occurs with Penicillium species and other molds. Pinkish-red pigments are produced by the bacterium in response to growth with Penicillium. Both chemical analyses and RNA-seq point to coproporphyrin III as the major metabolite leading to pigment formation.
2018-04-01 | GSE112092 | GEO
Project description:Imaging run on co-culture and isolated cultures of Penicillium sp. #12 with Glutamicibacter arilaitensis. Both strains were isolated from cheese rinds and normalized to OD 0.1 before plating on 2.5% Cheese Curd agar and grown for 7 days at room temperature.
2018-05-24 | MSV000082397 | MassIVE
Project description:Imaging run on co-culture and isolated cultures of Penicillium sp. #12 with Glutamicibacter arilaitensis. Both strains were isolated from cheese rinds and normalized to OD 0.1 before plating on 2.5% Cheese Curd agar that was normalized to a pH of 5 and grown for 7 days at room temperature.
2018-05-24 | MSV000082398 | MassIVE
Project description:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
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Project description:The intra sub-species diversity of six strains of Lactococcus lactis subsp. lactis was investigated at the genomic level and in terms of phenotypic and transcriptomic profiles in UF-cheese model. Six strains were isolated from various sources, but all are exhibiting a dairy phenotype. Our results showed that, the six strains exhibited small phenotypic differences since similar behaviour in terms of growth was obtained during cheese ripening while only different acidification capability was detected. Even if all strains displayed high genomic similarities, sharing a high core genome of almost two thousands genes, the expression of this core genome directly in the cheese matrix revealed major strain-specific differences. This strains with the same dairy origin.
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Project description:Comparative analysis of transcriptome of Penicillium marneffei PM1 grown at 25°C and 37°C Penicillium marneffei strain PM1 was pre-cultured at 25°C and 37°C for two weeks on Sabouraud's Dextrose Agar (SDA). Messenger RNAs were then isolated from one-week 25°C and 37°C cultures and sequenced with Illumina by BGI America. Two replicates.
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