Ontology highlight
ABSTRACT:
PROVIDER: PRJNA765687 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16028429.fastq.gz | Fastqsanger.gz |
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Project description:We present metaproteome data from maize rhizosphere from sodic soil. Isolation of proteome from maize rhizosphere collected from Experimental Farm, ICAR-IISS, Mau, India was done with the standardized protocol at our laboratory and metaproteome analysis was done with the standardized pipepline. In total 696 proteins with different functions representing 245 genus and 395 species were identified. The proteome data provides direct evidence on the biological processes in soil ecosystem and is the first reported reference data from maize rhizosphere.
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Project description:Coffee leaf miner is an important plague in coffee crops. Using subtracted cDNA libraries and nylon filter arrays, we analyzed the expression profile of 1536 expressed sequence tags (ESTs) of coffee plants from an hybrid progeny (C. arabica x C. racemosa), containg resistant (R) and susceptible plants (S) to the infestation of coffee leaf miner. Leaf discs were collected from non-infested plants (R control - RC; S control - SC), infested plants after moth oviposition (R oviposition - Ro; S oviposition - So) and infested after larvar eclosion (R eclosion - Re; S eclosion - Se). Isolation and characterization of Coffea genes induced during coffee leaf miner (Leucoptera coffeella) infestation. Plant Science 169(2):351-360 Keywords: ordered
2005-08-15 | GSE2045 | GEO
Project description:The present study was conducted to evaluate the effects of the intake of three types of coffee (caffeinated, decaffeinated, and green unroasted coffee) on the livers of C57BL/6J mice fed a high-fat diet, and to extensively elucidate the physiological responses to coffee intake by analysing the findings obtained from a comprehensive transcriptomic analysis using DNA microarrays. The present study was conducted to evaluate the effects of the intake of three types of coffee (caffeinated, decaffeinated, and green unroasted coffee) on the livers of C57BL/6J mice fed a high-fat diet, and to extensively elucidate the physiological responses to coffee intake by analysing the findings obtained from a comprehensive transcriptomic analysis using DNA microarrays. Briefly, 7-week-old male C57BL/6J mice purchased from Charles River Laboratories Japan (Yokohama) were divided into the following five groups. The normal diet group (ND group) was fed D12450B (10 kcal% fat, Research Diets, New Brunswick, NJ, USA). The high-fat diet group (HF group) was fed D12492 (60 kcal% fat, Research Diets, New Brunswick, NJ, USA). The caffeinated coffee group (HFCC group) was fed a high-fat diet containing 2% caffeinated freeze-dried coffee. The decaffeinated coffee group (HFDC group) was fed a high-fat diet containing 2% decaffeinated freeze-dried coffee. The green unroasted coffee group (HFGC group) was fed a high-fat diet containing 2% unroasted caffeinated freeze-dried coffee. The mice had ad libitum access to their diets and drinking water. After 9 weeks, mice were sacrificed and the livers were subjected to the Affymrtix DNA microarray experiment.
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Project description:Background: Understanding the genetic elements that contribute to key aspects of coffee biology will impact future agronomical improvements for this economically important tree. The past years, EST collections were generated in Coffee, opening the possibility to create new tools for functional genomics. Results: The project PUCE CAFE, set up by the scientific consortium NESTLE/IRD/CIRAD has developed of long oligonucleotide coffee array using public coffee EST sequences mainly obtained from different stages during fruit development and leaves in Coffea canephora (Robusta). We have performed a validation experiment in order to check the array usability and the reproducibility of hybridizations. Conclusion: We have generated the first 15K Coffee array during this three years project PUCE CAFE, granted by The French National Research Agency (ANR, Programme Génoplante) . This new tool was dedicated to large scale transcriptomic analysis during grain development of Coffea canephora grown in different countries . Furthermore, other analysis have been also initiated by the different partners like analysis of polyploidy or drought resistance. In any case, at the end of the project, the generated arrays will be available to the international scientific community.
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