Ontology highlight
ABSTRACT:
PROVIDER: PRJNA384013 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5469656_1.fastq.gz | Fastqsanger.gz | |||
| SRR5469656_2.fastq.gz | Fastqsanger.gz | |||
| SRR5469657_1.fastq.gz | Fastqsanger.gz | |||
| SRR5469657_2.fastq.gz | Fastqsanger.gz | |||
| SRR5469658_1.fastq.gz | Fastqsanger.gz |
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Project description:Because of severe abiotic limitations, Antarctic soils represent simplified ecosystems, where microorganisms are the principle drivers of nutrient cycling. This relative simplicity makes these ecosystems particularly vulnerable to perturbations, like global warming, and the Antarctic Peninsula is among the most rapidly warming regions on the planet. However, the consequences of the ongoing warming of Antarctica on microorganisms and the processes they mediate are unknown. Here, using 16S rRNA gene pyrosequencing and qPCR, we report a number of highly consistent changes in microbial community structure and abundance across very disparate sub-Antarctic and Antarctic environments following three years of experimental field warming (+ 0.5-2°C). Specifically, we found significant increases in the abundance of fungi and bacteria and in the Alphaproteobacteria-to-Acidobacteria ratio. These alterations were linked to a significant increase in soil respiration. Furthermore, the shifts toward generalist or opportunistic bacterial communities following warming weakened the linkage between bacterial diversity and functional diversity. Warming also increased the abundance of some organisms related to the N-cycle, detected as an increase in the relative abundance of nitrogenase genes via GeoChip microarray analyses. Our results demonstrate that soil microorganisms across a range of sub-Antarctic and Antarctic environments can respond consistently and rapidly to increasing temperatures, thereby potentially disrupting soil functioning.
2010-12-30 | GSE22825 | GEO
Project description:The goal of this study was to measure the effect of heat stress on the transcriptome of a cold-adapted fish species - Trematomus bernacchii - an Antarctic fish species. Keywords: Stress response
2007-12-14 | GSE9871 | GEO
Project description:Using RNAseq of small RNA libraries isolated from the gill tissue of the Antarctic fish Trematomus bernacchii we have characterized the termal sensitivity of miRNA homologues in these highly stenothermic fish.
2019-04-02 | GSE128132 | GEO
Project description:Background: Lactococcus garvieae is a bacterial pathogen that affects different animal species and human. Despite the widespread distribution and emerging clinical significance of L. garvieae in both veterinary and human medicine, there is almost a complete lack of knowledge about the genetic content of this microorganism. In the present study the genomic content of L. garvieae CECT 4531 was analyzed by bioinformatic tools and microarray-based comparative genomic hybridizations (CGH) experiments, using Lactococcus lactis subsp. lactis IL1403 and Streptococcus pneumoniae TIGR4 as reference microorganisms. Results: The combination and integration of in silico analyses and in vitro (CGH) experiments performed between the reference microorganisms allowed establishing an inter-species hybridization framework with a detection threshold based on the sequence similarity ?70%. With this threshold value, 267 genes were identified as having an analogue in L. garvieae, most of which (n = 258) have been documented for the first time in this pathogen. Most of these genes are related to ribosomal, sugar metabolism or energy conversion systems. Some identified genes could be involved in the pathogenesis of L. garvieae infections. Conclusions: In this study a comparative analysis based on microarray interspecies hybridization and the use of bioinformatic tools were used for the first time to study the genetic content of L. garvieae CECT 4531. Towards this approach, we identified 267 potentially present genes in L. garvieae CECT 4531, some of which could be involved in the pathogenesis of L. garvieae infections, such as als or mycA. These results provide the first insight into the genome content of L. garvieae. Array-based comparative genome hybridization (CGH): The L. lactis subsp. lactis IL1403 and S. pneumoniae TIGR4 microarrays used for the CGH analysis were purchased from Eurogentec (Serain, Belgium). The L. lactis microarray contains 4608 spots: 2126 duplicated ORFs, 32 negative controls and 324 empty spots. The S. pneumoniae microarray contains 4608 spots: 2087 duplicated ORFs, 224 negative controls and 210 empty spots. The CGH experiments were performed by means of competitive hybridizations using DNA of L. lactis subsp. lactis IL1403 or S. pneumoniae TIGR4, depending on the array as positive controls. DNAs to be hybridized on the same array were labelled with Cy3-dUTP and Cy5-dUTP, respectively. For each microarray hybridization reaction, aliquots (1–2 µg) of labelled genomic DNAs of reference (labelled with Cy3) and test (labelled with Cy5) strains, were mixed in 45 µl EGT hybridization solution (Eurogentec, Serain, Belgium) and denatured at 65ºC for 2 min. The hybridization mixture was then loaded onto a microarray slide, covered with a coverslip and incubated at 38ºC overnight. Following hybridization, the slides were washed in 2 X SSC, 0.5% SDS for 5 min followed by 5 min in 1 X SSC, 0.25% SDS. Finally, slides were rinsed in 0.2 X SSC and dried by centrifugation. The results presented herein represent a compilation of sixteen separate CGH experiments: L. lactis subsp. lactis IL1403 arrays (reference microorganism) were hybridized with S. pneumoniae TIGR4 (test microorganism) (n=2); S. pneumoniae TIGR4 arrays (reference microorganism) were hybridized with L. lactis subsp. lactis IL1403 (test microorganism) (n=2); L. lactis subsp. lactis IL1403 arrays (reference microorganism) were hybridized with L.garvieae CECT 4531 (test microorganism) (n=8); S. pneumoniae TIGR4 arrays (reference microorganism) were hybridized with L.garvieae CECT 4531 (test microorganism) (n=4). Data acquisition and analysis: The microarray was scanned after hybridization using a Scanarray HT microarray scanner (Perkin-Elmer). The signal intensity of the two fluors was determined using ImaGene software (BioDiscovery, El Segundo, CA, USA). Microarray data were analysed using ImaGene software, Microsoft Excel and an in-house designed and built Microsoft Access database [30]. Gene calling was based on a signal-to-noise ratio (SNR) > 3 for each spot. After CGH experiments, a gene was considered to show a positive result when it was present in at least three of the four CGH assays. In the case of the L. garvieae CECT 4531 hybridizations with L. lactis subsp. lactis IL1403 arrays, it was necessary to perform a greater number of assays (n=8) due to the poor quality of one of the array batches used. Thus, the criteria chosen to determine a positive result in this case was when the gene was present in at least five of the eight CGH assays.
2010-03-23 | E-GEOD-19005 | biostudies-arrayexpress
Project description:Halohasta litchfieldiae and Halorubrum lacusprofundi are important members of Deep Lake in Antarctica, representing ~44% (the most abundance) and ~10% (the 3rd most abundance) of the lake population. Deep Lake is in the Vestfold Hills, East Antarctica (68°33’36.8S, 78°11’48.7E) and is 36 m deep, monomictic, and perennially cold (down to -20C) (DeMaere et al., 2013; Williams et al., 2014; Tschitschko et al., 2015; Tschitschko et al., 2016). In this project, using quantitative proteomics (8-plex iTRAQ labeling), proteins, pathways and cellular processes important for cold adaptation were determined for both Hht. litchfieldiae and Hrr. lacusprofundi. The data provided a new level of understanding about molecular mechanisms and regulatory networks involved in adaptation of the Antarctic haloarchaea to cold environment. DeMaere, M. Z., Williams, T. J., Allen, M. A., Brown, M. V., Gibson, J. A., Rich, J., et al. (2013) High level of intergenera gene exchange shapes the evolution of haloarchaea in an isolated Antarctic lake. Proc Natl Acad Sci USA 110: 16939-16944. Tschitschko, B., Williams, T. J., Allen, M. A., Páez-Espino, D., Kyrpides, N., Zhong, L., et al. (2015) Antarctic archaea–virus interactions: metaproteome-led analysis of invasion, evasion and adaptation. ISME J 9: 2094-2107. Tschitschko, B., Williams, T. J., Allen, M. A., Zhong, L., Raftery, M. J., and Cavicchioli, R. (2016) Ecophysiological distinctions of haloarchaea from a hypersaline Antarctic lake determined using metaproteomics. Appl Environ Microbiol 82: 3165 – 3173. Williams, T. J., Allen, M. A., DeMaere, M. Z., Kyrpides, N. C., Tringe, S. G., Woyke, T., and Cavicchioli, R. (2014) Microbial ecology of an Antarctic hypersaline lake: genomic assessment of ecophysiology among dominant haloarchaea. ISME J 8: 1645-1658.
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