Ontology highlight
ABSTRACT:
PROVIDER: PRJNA742120 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14994867.fastq.gz | Fastqsanger.gz | |||
| SRR14994868.fastq.gz | Fastqsanger.gz | |||
| SRR14994869_1.fastq.gz | Fastqsanger.gz | |||
| SRR14994869_2.fastq.gz | Fastqsanger.gz | |||
| SRR14994870.fastq.gz | Fastqsanger.gz |
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Project description:Jujube (Ziziphus jujuba Mill.) is an economically and agriculturally significant fruit crop and is widely cultivated throughout the world. Heat stress has recently become one of the major abiotic stresses limiting plant growth and productivity. However, there are few studies on the transcriptome profiling of jujube subjected to heat stress. In this study, we analyzed the physiological and transcriptomic changes of heat-resistant jujube cultivar ‘HR’ and heat-sensitive cultivar ‘HS’ caused by high temperature stress. We statistically determined 984, 1468, 1727 and 2098 differentially expressed genes (DEGs) between ‘HR’ and ‘HS’ after 0, 1, 3, 5 d of heat stress, respectively. Gene Ontology (GO) enrichment analysis indicated that Aa great deal of heat-responsive genes were identified in these DEGs by Gene Ontology (GO) enrichment analysis. It suggests the distinct molecular mechanism of jujube response to heat stress. Furthermore, we validated the expression profiles of 12 candidates using qRT-PCR to further confirm the accuracy of the RNA-seq data. These results will advance our knowledge of the genes involved in the complex regulatory networks of heat stress and provide genetic resources for further improving the heat tolerance in jujube.
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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).
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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:We found a heat-resistant jujube cultivar in our previous study, but the molecular mecanism of heat-resistantance remained investigated. In the current study, we made this seedlings of jujube cultivar to be under heat stress (45°C) for 0, 1, 3, 5 and 7 days respectively. After checking the phenotypic and physiological features, the leaf samples (HR0, HR1, HR3, HR5 and HR7) were collected accordingly. RNA-seq transcriptome comparisons were performed, showing that 2266, 4907, 6120 and 2894 differentially expressed genes (DEGs) were identified among HR1 vs. HR0, HR3 vs. HR0, HR5 vs. HR0, and HR7 vs. HR0 respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of the DEGs from these comparisons. it revealed that a series of biological processes involved in photosynthesis, protein processing in endoplasmic reticulum and metabolism, suggesting that lowering or upregulating these processes may contribute to improved heat resistance in this jujube cultivar.
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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.
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