Locusta migratoria
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA271501 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1738245_1.fastq.gz | Fastqsanger.gz | |||
| SRR1738245_2.fastq.gz | Fastqsanger.gz | |||
| SRR1738246_1.fastq.gz | Fastqsanger.gz | |||
| SRR1738246_2.fastq.gz | Fastqsanger.gz | |||
| SRR1770193_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
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Project description:Genomic and transciptomic study of southern lineage migratory locust
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Project description:Microarray-based annotation of the gut transcriptome of the migratory locust, Locusta migratoria
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Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of nervous system in locust Locusta migratoria manilensis. By obtaining over 57,000,000 bases of sequence from central nervous system, we generated 101836 contigs and 69440 scaffolds. We finally get 41179 unigene with an average length of 570bp. There are 5519 unigenes beyond the length of 1000bp. Using BLAST searches of the NR, NT, Swiss-Prot, KEGG and COG databases we are able to identify 13552 unigene (E<0.0001). Comprehensive assessment of all the unigenes by comparing with the studied genes of other insects nervous system reveals that our unigene are broadly representative of the transcriptome of insect nervous system. Our data provides the most large-scale EST-project for locust nervous system, which greatly benefits the exploring of this insect. In addition, we identify a large number of novel nervous genes which can be used in systematic studies of locust and other insects.
2011-01-04 | GSE24498 | GEO
Project description:The migratory locust, Locusta migratoria, is a serious agricultural pest and important insect model to study insect digestion and feeding behavior. The gut is one of the primary interfaces between the insect and its environment. Nevertheless, knowledge on the gut transcriptome of L. migratoria is still very limited. With the development of two EST databases from L. migratoria (whole body and central nervous system (CNS)) and one EST database from Schistocerca gregaria (CNS), an abundance of transcript data was made available for locusts. In addition, the genome of Locusta was also recently published in an effort to create a better understanding of swarm formation and flight behavior (Wang et al., 2014). While the transcript composition of nervous tissue was relatively well studied after the development of the specific CNS-derived EST-databases from both L. migratoria and S. gregaria, little transcript profiling information is available for the digestive system at the moment. Locusts are, however, widely used as physiological model organisms regarding the regulation and control of feeding and digestion, and improved knowledge on the gut transcriptome could contribute significantly to a better understanding of their gut physiology. Therefore, we aimed to use the available sequence data to specifically identify gut-expressed transcripts in 5th larval locusts. By means of two independent self-self microarray hybridizations for two distinct tissues, the gut and the brain, a selection could be made of those ESTs that are present in the gut and/or the brain. Here, sequences that were found to be expressed in gut but not brain were further functionally annotated to shed new light on the complex physiology of the locust digestive system. Since the gut is the single most important organ in digestion, and both tissues are assumed to be involved in the regulation thereof, the resulting subset of sequences can also be valuable for further in-depth studies on the regulation of digestion. In addition, the method allowed us to rank the signal intensities, using them as a rough indicator to compare relative transcript abundance in the gut. Therefore, the data complement previously published transcript and genomic data, and provide a clear overview of the expressed portion of the genome in the gut. Taken together, the present data provide significant insight into locust larval gut physiology, and will be valuable for future studies on the insect gut.
2016-07-02 | GSE83967 | GEO
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of nervous system in locust Locusta migratoria manilensis. By obtaining over 57,000,000 bases of sequence from central nervous system, we generated 101836 contigs and 69440 scaffolds. We finally get 41179 unigene with an average length of 570bp. There are 5519 unigenes beyond the length of 1000bp. Using BLAST searches of the NR, NT, Swiss-Prot, KEGG and COG databases we are able to identify 13552 unigene (E<0.0001). Comprehensive assessment of all the unigenes by comparing with the studied genes of other insects nervous system reveals that our unigene are broadly representative of the transcriptome of insect nervous system. Our data provides the most large-scale EST-project for locust nervous system, which greatly benefits the exploring of this insect. In addition, we identify a large number of novel nervous genes which can be used in systematic studies of locust and other insects. Examination of 1 sample
2011-01-04 | E-GEOD-24498 | biostudies-arrayexpress
Project description:The migratory locust, Locusta migratoria, is a serious agricultural pest and important insect model to study insect digestion and feeding behavior. The gut is one of the primary interfaces between the insect and its environment. Nevertheless, knowledge on the gut transcriptome of L. migratoria is still very limited. With the development of two EST databases from L. migratoria (whole body and central nervous system (CNS)) and one EST database from Schistocerca gregaria (CNS), an abundance of transcript data was made available for locusts. In addition, the genome of Locusta was also recently published in an effort to create a better understanding of swarm formation and flight behavior (Wang et al., 2014). While the transcript composition of nervous tissue was relatively well studied after the development of the specific CNS-derived EST-databases from both L. migratoria and S. gregaria, little transcript profiling information is available for the digestive system at the moment. Locusts are, however, widely used as physiological model organisms regarding the regulation and control of feeding and digestion, and improved knowledge on the gut transcriptome could contribute significantly to a better understanding of their gut physiology. Therefore, we aimed to use the available sequence data to specifically identify gut-expressed transcripts in 5th larval locusts. By means of two independent self-self microarray hybridizations for two distinct tissues, the gut and the brain, a selection could be made of those ESTs that are present in the gut and/or the brain. Here, sequences that were found to be expressed in gut but not brain were further functionally annotated to shed new light on the complex physiology of the locust digestive system. Since the gut is the single most important organ in digestion, and both tissues are assumed to be involved in the regulation thereof, the resulting subset of sequences can also be valuable for further in-depth studies on the regulation of digestion. In addition, the method allowed us to rank the signal intensities, using them as a rough indicator to compare relative transcript abundance in the gut. Therefore, the data complement previously published transcript and genomic data, and provide a clear overview of the expressed portion of the genome in the gut. Taken together, the present data provide significant insight into locust larval gut physiology, and will be valuable for future studies on the insect gut. Self-self hybridisation of Cy5- and Cy3-labeled samples. One biological repeat per tissue type, i.e., brain and gut. Gut is a combination of foregut, midgut, gastric caeca and hindgut. Per tissue type, a pool was made from RNA from 3 pools of 5 locusts, and this for 3 different feeding conditions, resulting in samples derived from a total of 45 locust larvae. Feeding conditions were normally fed, fed with diet containing additional protease inhibitors (PIs), and starved locusts.
2016-07-02 | E-GEOD-83967 | biostudies-arrayexpress
Project description:Locust flight muscle: hypoxia-treated vs control
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Project description:All the reports on insect small RNAs come from holometabolous insects. However, small RNAs of hemimetabolous insects have not yet been investigated.Study of hemimetabolous insect small RNAs could provide more insights into evolution and function of small RNAs in hemi- and holometabolous insects. The locust is an important, economically harmful hemimetabolous insect and its phase changes is an interesting phenomenon.Here, we used high-throughput sequencing to characterize and compare the small RNA transcriptomes of gregarious and solitary phases in locusts. We found abundant small RNAs and their different expression profiles in the two phases.
2009-01-16 | GSE12640 | GEO
Project description:Protease inhibitors (PIs) are among the most ubiquitous plant defences against herbivorous insects. These inhibitors arrest proteolytic digestion by binding to the proteases in the gut. However, many pest insects have coevolved mechanisms to counteract these effects. While the nature of these counter-defensive strategies has been well described for several insect pests, our understanding of how these responses are triggered and regulated remains limited. In this study we investigated the initiation of this adaptive response in the economically damaging migratory locust (Locusta migratoria), via microarray analysis of gut tissues following the dietary uptake of PIs. For this purpose, the total number of ESTs available for locusts was narrowed down to transcripts that were found expressed in gut and/or brain tissue. The remaining subset was used for the construction of an optimized microarray platform.
2016-04-07 | GSE79995 | GEO