Gene expression shifts in yellow-bellied marmots prior to natal dispersal
Ontology highlight
ABSTRACT:
ORGANISM(S): Marmota flaviventris
PROVIDER: GSE113744 | GEO | 2018/11/16
REPOSITORIES: GEO
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Project description:Gene expression shifts in yellow-bellied marmots prior to natal dispersal
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Project description:The causes and consequences of vertebrate natal dispersal have been studied extensively, yet little is known about the molecular mechanisms involved. We used RNA-seq to quantify transcriptomic gene expression in blood of wild yellow-bellied marmots (Marmota flaviventer) prior to dispersing from or remaining philopatric to their natal colony. We tested 3 predictions. First, we hypothesized dispersers and residents will differentially express genes and gene networks since dispersal is physiologically demanding. Second, we expected differentially expressed genes to be involved in metabolism, circadian processes, and immune function. Finally, in dispersing individuals, we predicted differentially expressed genes would change as a function of sampling date relative to dispersal date. We detected 150 differentially expressed genes, including genes that have critical roles in lipid metabolism and antigen defense. Gene network analysis revealed a module of 126 coexpressed genes associated with dispersal that was enriched for extracellular immune function. Of the dispersal-associated genes, 22 altered expression as a function of days until dispersal, suggesting that dispersal-associated genes do not initiate transcription on the same time scale. Our results provide novel insights into the fundamental molecular changes required for dispersal and suggest evolutionary conservation of functional pathways during this behavioral process.
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Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from blood samples from yellow-bellied marmots (Marmota flaviventris). DNA methylation data from n=159 blood samples. All samples were collected as part of a long-term study of a free-living population of yellow-bellied marmots in the Gunnison National Forest, Colorado (USA), where marmots were captured and blood samples collected biweekly during the their active season (May to August). Genomic DNA was extracted with Qiagen DNeasy blood and tissue kit.
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2017-02-27 | GSE95377 | GEO
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 global transcriptional regulator Hha of Escherichia coli controls hemolysin activity, biofilm formation, and virulence expressions. Earlier, we have reported that Hha represses initial biofilm formation and disperses biofilms as well as controls prophage excision in E. coli. Since biofilm dispersal is a promising area to control biofilms, here we rewired Hha to control biofilm dispersal and formation. The Hha variant Hha13D6 was obtained to have enhanced biofilm dispersal activity along with increased toxicity compared to wild-type Hha (Hha13D6 induces dispersal 60%, whereas wild-type Hha induces dispersal at early biofilms but not at mature biofilms). Toxic Hha13D6 caused cell death probably by the activation of proteases HslUV, Lon, and PrlC, and deletion of protease gene hslV with overproducing Hh13D6 repressed biofilm dispersal, indicating Hha13D6 induces biofilm dispersal through the activity of protease HslV. Furthermore, another Hha variant Hha24E9 was also obtained to decrease biofilm formation 4-fold compared to wild-type Hha by regulation of gadW, glpT, and phnF. However, the dispersal variant Hha13D6 did not decrease biofilm formation, while the biofilm variant Hha24E9 did not induce biofilm dispersal. Hence, Hha may have evolved two ways in response to environmental factors to control biofilm dispersal and formation, but both controlling mechanisms come from different regulatory systems. For the whole-transcriptome study of BW25113 hha/pCA24N-hha13D6 versus BW25113 hha/pCA24N-hha biofilm dispersal, cells were grown in 250 mL of LB glucose (0.2%) for 16 h at 125 rpm with 10 g of glass wool (Corning Glass Works, Corning, NY, USA) in 1 L Erlenmeyer flasks to form a robust biofilm (Ren et al., 2004) and incubated an additional 1 h with 1 mM IPTG to induce wild-type Hha and Hha13D6. Similarly, for the whole transcriptome study of BW25113 hha/pCA24N-hha24E9 versus BW25113 hha/pCA24N-hha biofilm formation, cells were grown in 250 mL of LB glucose (0.2%) containing 1 mM IPTG for 7 h at 250 rpm with 10 g of glass wool to form biofilms. Biofilm cells were obtained by rinsing and sonicating the glass wool in sterile 0.85% NaCl solution at 0°C, and RNALater buffer® (Applied Biosystems, Foster City, CA, USA) was added to stabilize RNA during the RNA preparation steps. Total RNA was isolated from biofilm cells using a bead beater (Biospec, Bartlesville, OK, USA). cDNA synthesis, fragmentation, and hybridizations to the E. coli GeneChip Genome 2.0 array (Affymetrix, Santa Clara, CA, USA; P/N 511302). Genes were identified as differentially expressed if the expression ratio was higher than the standard deviation: 2.0-fold (induced and repressed) cutoff for Hha13D6 DNA microarrays (standard deviation 1.3-fold) and 10.0-fold (induced) or 4.0-fold (repressed) for Hha24E9 DNA microarrays (standard deviation 4.0-fold), and if the p-value for comparing two chips was less than 0.05.
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Project description:Aeolian microbial dispersal limitation to Antarctica
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Project description:The global transcriptional regulator Hha of Escherichia coli controls hemolysin activity, biofilm formation, and virulence expressions. Earlier, we have reported that Hha represses initial biofilm formation and disperses biofilms as well as controls prophage excision in E. coli. Since biofilm dispersal is a promising area to control biofilms, here we rewired Hha to control biofilm dispersal and formation. The Hha variant Hha13D6 was obtained to have enhanced biofilm dispersal activity along with increased toxicity compared to wild-type Hha (Hha13D6 induces dispersal 60%, whereas wild-type Hha induces dispersal at early biofilms but not at mature biofilms). Toxic Hha13D6 caused cell death probably by the activation of proteases HslUV, Lon, and PrlC, and deletion of protease gene hslV with overproducing Hh13D6 repressed biofilm dispersal, indicating Hha13D6 induces biofilm dispersal through the activity of protease HslV. Furthermore, another Hha variant Hha24E9 was also obtained to decrease biofilm formation 4-fold compared to wild-type Hha by regulation of gadW, glpT, and phnF. However, the dispersal variant Hha13D6 did not decrease biofilm formation, while the biofilm variant Hha24E9 did not induce biofilm dispersal. Hence, Hha may have evolved two ways in response to environmental factors to control biofilm dispersal and formation, but both controlling mechanisms come from different regulatory systems.
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Project description:Identification of SERPINE1 as a Regulator of Glioblastoma Cell Dispersal via Analyzing Dynamic Transcriptome of Dispersing Cells
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