Ontology highlight
ABSTRACT:
PROVIDER: PRJNA706883 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13889918_1.fastq.gz | Fastqsanger.gz | |||
| SRR13889918_2.fastq.gz | Fastqsanger.gz | |||
| SRR13889919_1.fastq.gz | Fastqsanger.gz | |||
| SRR13889919_2.fastq.gz | Fastqsanger.gz | |||
| SRR13889920_1.fastq.gz | Fastqsanger.gz |
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Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them. This study investigated the geographic distribution of Acid Mine Drainages microbial communities using a 16S rRNA gene-based RFLP method and the diversity, composition and structure of AMD microbial communities phylogenetically and functionally using an AMD-specific microarray which contained 1,072 probes ( 571 related to 16S rRNA and 501 related to functional genes). The functional genes in the microarray were involved in carbon metabolism (158), nitrogen metabolism (72), sulfur metabolism (39), iron metabolism (68), DNA replication and repair (97), metal-resistance (27), membrane-relate gene (16), transposon (13) and IST sequence (11).
2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).
2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples.
2016-04-01 | GSE55293 | GEO
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2011-03-08 | GSE27542 | GEO
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Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. Three groups of samples, A, B and C. Every group has 3 replicates.
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Project description:Interventions: The patient receives standard oral supplement (Ensure),The patient receives beta-hydroxy-beta-methylbutyrate (HMB) enriched oral supplement;Treatment,Treatment;Group 1 ,Group 2
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Project description:BACKGROUND. The incidence of Type 1 Diabetes (T1D) has significantly increased in recent decades and coincides with lifestyle changes that have likely altered the composition of the gut microbiota. Dysbiosis and gut barrier dysfunction are associated with T1D, and notably, our studies have identified an inflammatory state in T1D families that is consistent microbial antigen exposure. METHODS. We conducted a 6-week, single-arm, open-label trial to investigate whether daily multi-strain probiotic (Bifidobacteria, Lactobacillus, and Streptococcus) supplementation could reduce the familial inflammatory state in 25 unaffected siblings of diabetes patients. RESULTS. Probiotic supplementation was found safe and well-tolerated; there were no adverse events and participant adherence was 93%. Bacterial 16S rDNA gene sequencing of stool revealed that community alpha and beta diversity were not altered between the pre- and post-supplement samplings. LEfSe analyses identified post-supplement enrichment of the family Lachnospiraceae, producers of the anti-inflammatory short chain fatty acid butyrate. Systemic inflammation was measured by plasma induced transcription and quantified with a gene ontology-based composite inflammatory index (I.I.com). After supplementation, I.I.com was reduced (p=0.017), and pathway analysis predicted inhibition of IL17A, lipopolysaccharide, NFkB, IL1B, and TNF (Z-score≤-2.0) and activation of IL10RA (Z-score=2.0). Post-supplement plasma levels of IL12p40, IL-13, IL-15, IL-18, CCL2, CCL24 were reduced (p<0.05), while butyrate levels trended 2.4-fold higher (p=0.06). CONCLUSION. There is a substantial need for safe, broadly applicable therapies to reduce T1D susceptibility. This study indicates that investigations of prebiotic and probiotic strategies are warranted as they may be efficacious either alone or in combination with other therapeutic agents.
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