Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1255863 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33323810_1.fastq.gz | Fastqsanger.gz | |||
| SRR33323810_2.fastq.gz | Fastqsanger.gz | |||
| SRR33323811_1.fastq.gz | Fastqsanger.gz | |||
| SRR33323811_2.fastq.gz | Fastqsanger.gz | |||
| SRR33323812_1.fastq.gz | Fastqsanger.gz |
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Project description:BACKGROUND: Western flower thrips are considered the major insect pest of horticultural crops worldwide, causing economic and yield loss to Solanaceae crops. The eggplant (Solanum melongena L.) resistance against thrips remains largely unexplored. This work aims to identify thrips-resistant eggplants and dissect the molecular mechanisms underlying this resistance using the integrated metabolomic and transcriptomic analyses of thrips-resistant and -susceptible cultivars. RESULTS: We developed a micro-cage thrips bioassay to identify thrips-resistant eggplant cultivars, and highly resistant cultivars were identified from wild eggplant relatives. Metabolomic profiles of thrips-resistant and -susceptible eggplant were compared using the gas chromatography-mass spectrometry (GC-MS)-based approach, resulting in the identification of a higher amount of quinic acid in thrips-resistant eggplant compared to the thrips-susceptible plant. RNA-sequencing analysis identified differentially expressed genes (DEGs) by comparing genome-wide gene expression changes between thrips-resistant and -susceptible eggplants. Consistent with metabolomic analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs revealed that the starch and sucrose metabolic pathway in which quinic acid is a metabolic by-product was highly enriched. External application of quinic acid enhances the resistance of susceptible eggplant to thrips. CONCLUSION: Our results showed that quinic acid plays a key role in the resistance to thrips. These findings highlight a potential application of quinic acid as a biocontrol agent to manage thrips and expand our knowledge to breed thrips-resistant eggplant.
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Project description:ncreasing effects of anthropogenic stressors and those of natural origin on aquatic ecosystems have intensified the need for predictive and functional models of their effects. Here, we use gene expression patterns in combination with weighted gene co-expression networks and generalized additive models to predict effects on reproduction in the aquatic microcrustacean Daphnia. We developed models to predict effects on reproduction upon exposure to different cyanobacteria, different insecticides and binary mixtures of cyanobacteria and insecticides. Models developed specifically for groups of stressors (e.g. either cyanobacteria or insecticides) performed better than general models developed on all data. Furthermore, models developed using in silico generated mixture gene expression profiles from single stressor data were able to better predict effects on reproduction compared to models derived from the mixture exposures themselves. Our results highlight the potential of gene expression data to quantify effects of complex exposures at higher level organismal effects without prior mechanistic knowledge or complex exposure data.
2017-12-07 | GSE102226 | GEO
Project description:Cotton is an excellent model for studying heterosis, crop domestication and bioengineering improvement. Chromatin profiling helps to reveal how histone modifications are involved in controlling differential gene expression between A and D subgenome in allotetraploid cotton. However, the detailed profiling and functional characterization of H3K27me3 and H3K4me3/H3K27me3 bivalent mark are still understudied in cotton. In this study, we conducted H3K4me3 and H3K27me3-related ChIP-seq followed by comprehensively characterizing their roles in regulating gene transcription in cotton. We found that H3K4me3 and H3K27me3 exhibited active and repressive roles in regulating expression of genes between A and D subgenome, respectively. Expression of H3K4me3-H3K27me3 bivalent genes was regulated by combinatorial actions of both marks and may be dominantly controlled by H3K4me3. More importantly, H3K4me3 exhibited enrichment levels, positioning and distance-related effects on expression levels of related genes. In addition, H3K4me3, H3K27me3 and bivalent mark can indirectly influence gene expression through TF-mediated regulatory networks. Thus, our study provides insights in functions of H3K4me3 and H3K27me3 in regulating differential gene expression between A and D subgenome in cotton.
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Project description:To examine expression of miRNAs in cotton fiber development, we employed miRNA microarrays and compared miRNA accumulation level in cotton fibers, cotton leaves and mutant fibers.
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Project description:We analyzed the interaction between Arabidopsis and western flower thrips (Frankliniella occidentalis), which are one of the most serious insect pests of cultivated plants. A total of 1.2K potential biotic and abiotic stress-related genes were selected from the genes covered by the Arabidopsis 7K array (RIKEN, Japan) and Arabidopsis oligo microarray (Agilent Technologies, USA) for this study. The 21- day-old plants were feeded by western flower thrips in an acryl cylinder chamber with air ventilation windows covered with a fine mesh. Leaves were harvested several time after the feeding. Our results indicate that JA plays an important role in Arabidopsis in terms of response to, and tolerance against, thrip feeding.
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Project description:In the current study, we sought to elucidate the plant-mediated mechanisms underlying the interaction between TSWV and its insect vector, F. occidentalis in the plant host, tomato, Solanum lycopersicum L. We performed replicated greenhouse and laboratory experiments to confirm that TSWV altered vector performance and behavior in ways that improved virus transmission. To characterize plant molecular mechanisms, microarray analysis was done in tomato plants that were systemically-infected with TSWV, infested with thrips, or both TSWV and thrips using Affymetrix Tomato GeneChip®. The tomato microarray chip includes many defense- and stress-related genes and genes related to chloroplast function, cell wall modification, and protein synthesis which we hypothesized would be involved in TSWV-vector interaction.
2020-08-01 | E-MTAB-9294 | biostudies-arrayexpress
Project description:Spodoptera frugiperda is the world’s major agricultural pests, and has the distinctive features of high fecundity, strong migratory capacity and high resistance to most insecticides. At present, the control of S. frugiperda in China relies mainly on the spraying of chemical insecticides. MicroRNAs (miRNAs) are a class of small, single-stranded, non-coding RNAs, and play crucial regulatory roles in various physiological processes, including the insecticide resistance in insects. However, little is known about the regulatory roles of miRNAs on the resistance of S. frugiperda to insecticides. In the present research, the miRNAs that were differentially expressed after cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole treatment were analyzed by RNA-Seq. A total of 504 miRNAs were systematically identified from S. frugiperda, and 24, 22, 31 and 30 miRNAs were differentially expressed after treatments of cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole. GO and KEGG enrichment analyses were used to predict the function of differentially expressed miRNAs’ target genes. Importantly, ten miRNAs were significantly differentially expressed among the treatments of three insecticides. MiR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p were significantly down-regulated among the treatments of three insecticides by RT-qPCR. Furthermore, overexpression of miR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p significantly increased the mortality of S. frugiperda to cyantraniliprole and emamectin benzoate. The mortality was significantly increased with spinetoram treatment after overexpression of miR-13b-3p, miR-10485-5p and miR-10483-5p. These results suggest that miRNAs, which are differentially expressed in response to insecticides, may play a key regulatory role in the insecticide resistance in S. frugiperda.
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