Chinese Microbiome Study
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB19740 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1864500_1.fastq.gz | Fastqsanger.gz | |||
| ERR1864500_2.fastq.gz | Fastqsanger.gz | |||
| ERR1864510_1.fastq.gz | Fastqsanger.gz | |||
| ERR1864510_2.fastq.gz | Fastqsanger.gz | |||
| ERR1864520_1.fastq.gz | Fastqsanger.gz |
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2015-04-25 | E-GEOD-68224 | biostudies-arrayexpress
Project description:Objective: In order to study the change law of Chinese fir gene expression caused by fertilization, it provides scientific basis for Chinese fir fertilization theory and practice. Method: Using Illumina HiSeq4000 high-throughput sequencing technology, sequencing sequences of four different fertilizer treatment materials (control CK1, nitrogen treatment N1, phosphorous treatment P1, and phosphorous and nitrogen mixture treatment NP1, each with three biological repeats) were obtained, and a series of comparative analysis of the differences were conducted. The experimental material was the 1-year clone cuttings of Chinese fir K62. At the end of 2017year, sand culture experiment was carried out in the plastic greenhouse of research institute of subtropical forestry,CAF. Because it was transcriptome sequencing without reference genome , sequencing reads need to be spliced into de novo, unigene and transcripts are assembled, and then functional annotation, differential expression and other project analysis are conducted. Result: In 12 samples, transcriptome sequencing produced clean reads5.0E+07nt to 7.1E+07nt, and the total splicing length was 724,341,090nt. BLASTX analysis was performed on clean reads in six databases (Nr, Swiss-prot,eggNOG, ,KEGG, Pfam, GO), and 74,288 genes were generated；The Venn diagram reveals the general overview of the gene response of different fertilization treatments: in the N1-VS-CK1 comparison group, NH4NO3 stimulation induced the opening expression of 3,295 genes, and CK1 produced 2,944 genes resistant to nitrogen; Similar results were obtained for other comparison groups. Chinese fir fertilization turns on and up-regulates the expression of some genes while shutting down or down regulating some genes of expression; Analysis of gene differential expression revealed that :720 differentially expressed genes were screened out in the N1-VS-CK1 comparison group, and 3,694 genes were found to be silenced by nitrogen application. Similar results were obtained in the other five groups: a number of differentially expressed genes were screened out, and a number of genes were silenced by nitrogen and phosphorus fertilizer; The results of the heatmap clustering graph of the six comparison groups were revealed that the genes between the same treatment and the same comparison group are basically distributed in blocks: either high expression or low expression, and vice versa. The gene distribution between different treatments in the same comparison group was complementary. To fertilize Chinese fir, it is better to mix fertilizer with different types of fertilizers; The GO enrichment and functional classification has three major categories, namely, biological process BP, cell component CC and molecular function MF, with 50 small categories; Fertilization, whether single fertilizer or multiple fertilizers, has the greatest impact on the GO terms of Chinese fir: chloroplasts, cytoskeleton, cell membrane, nucleus and cytoplasm. secondly molecular function, protein binding and biological process are affected. These results revealed that nitrogen and phosphorus can promote the absorption and metabolism of themselves and each other; KEGG enrichment analysis was performed in 6 comparison groups, and the most significant first 5 Pathway KEGG terms were selected in each comparison group, the comprehensive analysis results showed that after fertilizing Chinese fir, the most significant KEGG term was photosynthesis, nitrogen metabolism, carbon fixation and carbon metabolism, plant hormone signal transduction, plant-pathogen interaction, phenylpropanoid biosynthesis, pentose-phosphate pathway, porphyrin and chlorophyll metabolism, arginine biosynthesis and ect. Based on the above studies, the significantly up-regulated or down-regulated genes in important terms obtained by GO enrichment and classification and KEEG enrichment can be studied, and the results can guide the diagnosis of Chinese fir fertilization. Conclusion: Illumina HiSeq4000 transcriptome sequencing is a quick and cheap way to study the molecular mechanisms of non-model plants, including coniferous trees with large genomes. Chinese fir fertilization can not only turn on some genes, but also turn off some genes. The growth and development of Chinese fir will be regulated in a way that is favorable for its adaptation to the environment, competitive resources and growth and development.
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Project description:Chinese alligator gut microbiome Raw sequence reads
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Project description:We monitored by RNAseq the transcriptomic response of roots and leaves of Triticum aestivum cv chinese Spring during a long term interaction with Funneliformis mossae (2 months) with or without a pathogen infection by infiltration of Xanthomonas translucens CFBP 2054. The control condition of roots and leaves wheat without mycorhizal fungi is in E-MTAB-5891 (material produced simultaneously and treated at the same time).
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Project description:There are remarkable disparities among patients of different races with prostate cancer; however, the mechanism underlying this difference remains unclear. Here, we present a comprehensive landscape of the transcriptome profiles of 14 primary prostate cancers and their paired normal counterparts from the Chinese population using RNA-seq, revealing tremendous diversity across prostate cancer transcriptomes with respect to gene fusions, long noncoding RNAs (long ncRNA), alternative splicing and somatic mutations. Three of the 14 tumors (21.4%) harbored a TMPRSS2-ERG fusion, and the low prevalence of this fusion in Chinese patients was further confirmed in an additional tumor set (10/54=18.5%). Notably, two novel gene fusions, CTAGE5-KHDRBS3 (20/54=37%) and USP9Y-TTTY15 (19/54=35.2%), occurred frequently in our patient cohort. Further systematic transcriptional profiling identified numerous long ncRNAs that were differentially expressed in the tumors. An analysis of the correlation between expression of long ncRNA and genes suggested that long ncRNAs may have functions beyond transcriptional regulation. This study yielded new insights into the pathogenesis of prostate cancer in the Chinese population.Cell Research advance online publication 21 February 2012; doi:10.1038/cr.2012.30.
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Project description:Background: Hypertension is one of the most common metabolic diseases in the elderly and its pathogenesis is associated with microbiota dysbiosis. Recent evidence suggests that oral microbiota dysbiosis is also an important factor in the development of hypertension. However, the relationship between hypertension and oral flora in the elderly has not been adequately investigated. Objective: The aim of this cross-sectional study was to investigate the structure of the oral microbiota and its correlation with hypertension in elderly hypertensive patients. To provide new ideas for the prevention and treatment of hypertension. Methods: 206 subjects aged 60 ~ 89 years were selected and divided into normal (CON) and hypertensive (HTN) groups, according to the 2018 Chinese Guidelines for the Management of Hypertension. The oral microbiome composition of saliva samples was determined by 16S rRNA gene sequencing. Results: Although there was no significant difference in α and β diversity between the two groups, systolic and diastolic blood pressure were the most important factors influencing the structure of the oral microbiota. At the phylum level, the relative abundance of the spirochete phylum and the mutualistic bacterial phylum was higher in the HT group than in the CON group (p < 0.05). Diastolic blood pressure was negatively correlated with Streptococcus. Furthermore, we analyzed HTN patients with 120 mmHg<systolic blood pressure<160 mmHg and systolic blood pressure>160 mmHg separately and found that the abundance of Saccharibacteria_(TM7) was significantly increased in the HTN_2 group. Conclusions: Our study identified specific oral microbiota in elderly hypertensive patients, confirming the relationship between oral microbiota and hypertension. This enhances our understanding of the important role of oral microbiota in the pathogenesis of hypertension and accumulates more evidence for microbial involvement in the development of hypertension.
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