Ontology highlight
ABSTRACT:
PROVIDER: PRJNA880698 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21590300_1.fastq.gz | Fastqsanger.gz | |||
| SRR21590300_2.fastq.gz | Fastqsanger.gz | |||
| SRR21590301_1.fastq.gz | Fastqsanger.gz | |||
| SRR21590301_2.fastq.gz | Fastqsanger.gz | |||
| SRR21590302_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
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Project description:Response of the aphid head transcriptome to nicotine in artificial diets (250 µM nicotine, 24 hours feeding) Two condition experiment: heads of aphids feeding on control diet vs heads of aphids feeding on 250 µM nicotine containing diet
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Project description:Response of the aphid head transcriptome to nicotine in artificial diets (100 µM nicotine, 24 hours feeding) Two condition experiment: heads of aphids feeding on control diet vs heads of aphids feeding on 100 µM nicotine containing diet
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Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. We used microarrays to characterize the soybean plant's transcriptional defense against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured trancript levels in leaves after one and seven days of aphid infestation.
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Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. Aphids do not normally kill their host and colonize plants for long periods of time, up to several months in soybean. However, our knowledge of plant responses to long-term aphid colonization is very limited. We used microarrays to characterize the soybean plant's transcriptional response against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured transcript levels in leaves after 21 days of aphid infestation.
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Project description:Phenotypic responses to biotic stresses are often studied as the interactions between two species; however, in the phytobiome, these responses frequently result from complex interactions involving several organisms. Here, we show that variation in chlorosis caused by Russian wheat aphid (Diuraphis noxia) feeding is determined, in part, by aphid-associated bacteria. Proteomic analysis of fluids injected into a sterile medium by the aphid during feeding indicate that 99% of the proteins are of bacterial origin. Of these, the greatest proportion are produced by bacteria in the order Enterobacteriales. Bacteria from five genera in four families that have the capacity to produce these proteins were isolated directly from aphids as well as from wheat leaves only after D. noxia feeding. By themselves or in combination, these bacteria were not virulent to wheat, even at high inoculum levels. Metagenomic analysis showed that the same five D. noxia-associated genera dominated the non-Buchnera component of the aphid microbiome, and that representation of these genera was reduced in aphids from colonies established after isolation of newborn nymphs from their mothers prior to feeding (‘isolated’ aphids). Isolation or treatment with antibiotics reduced bacterial numbers, and these aphids caused less feeding damage on wheat than non-isolated or non-antibiotic treated aphids. Our data show that bacterial proteins are a significant component of Russian wheat aphid saliva, that the bacteria producing these proteins are associated with aphids and plants fed upon by aphids, and that these aphid-associated bacteria facilitate aphid virulence to wheat.
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Project description:Resistance to herbicides in weeds can be due to alteration(s) in the gene encoding the herbicide target site, or to herbicide degradation via a deviation in plant general metabolism. If target-site-based resistance is easy to study, the multigenic control of metabolism-based resistance renders it much more complex to study. Metabolism-based resistance to herbicides represents the major part of herbicide resistance in black-grass. Its most likely basis is an overexpression of genes encoding enzymes degrading herbicides. We thus seek to identify such overexpressed genes by comparing the transcriptomes of resistant and sensitive black-grass individuals belonging to an F2 line segregating for two resistance genes. Given there are no genomic tools developed for black-grass, this approach will use heterologous hybridisation onto a wheat Affymetrix microarray. Comparison using heterologous hybridisation onto a wheat whole-genome microarray of transcriptome of three pools of black-grass plants obtained 2h30 after herbicide spraying at field rate. The three pools correspond to: · Sensitive plants (killed by herbicide). · Moderately resistant plants (growth impaired by herbicide but plants still alive) · Resistant plants (growth unimpaired by herbicide)
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