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Insect

ABSTRACT: insect Transcriptome or Gene expression

PROVIDER: PRJNA326701 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR3717412_1.fastq.gz	Fastqsanger.gz
	SRR3717412_2.fastq.gz	Fastqsanger.gz
	SRR3717246_1.fastq.gz	Fastqsanger.gz
	SRR3717246_2.fastq.gz	Fastqsanger.gz
	SRR3717487_1.fastq.gz	Fastqsanger.gz

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Project description:Pesticides are widely used to protect growth of crops and prevent the spread of diseases. However, more and more pest insects have developed resistance to chemical pesticides along with the long-term application of the pesticides. It is very important to explore the molecular mechanisms of insecticide resistance not only for reversing the resistance in insects, but also for finding out new function targets of the insecticides. Recently, the next-generation sequence technique has become an effective tool to screen resistance genes and has developed transcriptome profiles of various species. However, a comprehensive database to collect these transcriptome data remains poorly developed. In this study, we constructed a database for insect resistance called IRdb, which contains gene count data from various insect species analyzed by a unified process. In addition to the gene data, IRdb also contains 430 unique resistance proteins (experimentally verified proteins manually extracted from literature). Users can discriminate the resistance proteins by submitting fasta sequence of proteins of interest, which can provide clues to detect resistance proteins. The application of resistance protein part in IRdb indicates the accuracy of prediction of IRdb by extracting CTD features and employing random forest. The database IRdb online web server (http://120.27.24.199:20609/) was provided for users to download the transcriptome and protein data for resistance of insects to insecticides and to predict potential resistance proteins.

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Dastarcus helophoroides strain:insect

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A multicenter study on the efficacy and influencing factors of Insect Compound Particle in the treatment of MMR related stage III colorectal cancer

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Genome sequencing and transcriptional profiling of the insect biocontrol fungus Beauveria bassiana

Project description:Insect pathogenic fungus Beauveria bassiana in one of the best studied insect biocontrol fungus, which infects insects by cuticle penetration. After breaking the cuticles, the fungus will propagate in insect hemocoel and kill insect hosts. It has also been found that the mycelia of B. bassiana can penetrate plant tissues to reach insect inside plant, e.g. corn borer (Ostrinia furnacalis), but do not cause damage to plants. The mechanism of fungal physiological plasticity is poorly understood. To accompany our genome sequencing work of B. bassiana strain ARSEF 2860, fungal transcriptional responses to different niches were studied using an Illumina RNA_seq technique. To examine fungal response to insect cuticle, conidia were inoculated on locust hind wings for 24 hours before used for RNA extraction. To evaluate fungal adaptation to insect hemocole, the fifth instar larvae of cotton bollworms were injected with spore suspension and fungal cells isolated by centrifugation in a step gradient buffer. To unveil the mechanism of interaction with plants, the fungus was grown in corn root exudates for 24 hours. After RNA sequencing, around three million tags were acquired for each sample and fungal transcriptional profiles were compared. Unveiling gene differential expression patterns when the insect biocontrol fungus Beauveria bassiana grown in insect hemocoel, corn root exudates and on insect cuticles.

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Transcriptional changes in Zea mays seedlings treated with insect elicitor (volicitin).

Project description:Insect elicitors, in particular fatty acid amides like volicitin, have been known to induce defense-related gene expression. Here we investigated transcriptional changes in response to volicitin 60min after treatment locally and in distal parts of the treated leaf.

2013-09-19 | GSE50981 | GEO

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Project description:One of the most thoroughly studied insect species, with respect to locomotion behaviour, is the stick insect Carausius morosus. Although detailed information exists on premotor networks controlling walking, surprisingly little is known about neuropeptides, which are certainly involved in motor activity generation and modulation. So far, only few neuropeptides were identified from C. morosus or related stick insects. We performed a transcriptome analysis of the central nervous system to assemble and identify 65 neuropeptide and protein hormone precursors of C. morosus, including five novel putative neuropeptide precursors without clear homology to known neuropeptide precursors of other insects (Carausius neuropeptide-like precursor 1, HanSolin, PK-like1, PK-like2, RFLamide). Using Q Exactive Orbitrap and MALDI-TOF mass spectrometry, 277 peptides including 153 likely bioactive mature neuropeptides were confirmed. Peptidomics yielded a complete coverage for many of the neuropeptide propeptides and confirmed a surprisingly high number of heterozygous sequences. Few neuropeptide precursors commonly occurring in insects, including those of insect kinins and sulfakinins, could neither be found in the transcriptome data nor did peptidomics support their presence. The results of our study represent one of the most comprehensive peptidomic analyses on insects and provide the necessary input for subsequent experiments revealing neuropeptide function in greater detail.

2018-04-30 | PXD009536 | Pride

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