Project description:Rice, the world’s most important food crop, is attacked by multiple herbivores and pathogens.the rice striped stem borer (SSB) Chilo suppressalis is one of another most important rice insect pests. Here, we use Affymetrix Whole-Genome rice arrays to detect SSB infestation responsive genes.
Project description:Rice, the worldM-bM-^@M-^Ys most important food crop, is attacked by multiple herbivores and pathogens.the rice striped stem borer (SSB) Chilo suppressalis is one of another most important rice insect pests. Here, we use Affymetrix Whole-Genome rice arrays to detect SSB infestation responsive genes. RNA samples from five damaged stems of SSB-challenged 24 h rice plants or five stems from unchallenged plants (for control samples) were used to array analysis. Two replicate biological experiments of SSB treatment rice arrays and one control samples array were peformed.
Project description:Purpose: transcriptome sequencing of Conopomorpha sinensis Methods: high-through Illumina HiSeqTM 2000 Results:66017 transcripts,35383 unigenes Conclusions:This study provided valuable transcriptome data for the litchi fruit borer, which was the first fundamental genomic basis for exploiting gene resources from the litchi fruit borer
Project description:Sugarcane stalk borer larvae were grown on artificial diet and maintained at 25°C and 60±10% relative humidity with a 14 h/10 h light/dark cycle. Second instar larvae were maintained under fasting conditions for 18 h and transferred to two-month old plants (genotype SP80-3280, CTC, Brazil). Leaves were collected after 30 min and 24 h of exposure to herbivory for the control and experimental groups. Two plantlets were used for each time point. Extraction of total RNA was performed separately on each sample pool. Keywords: time course of stress response
Project description:Background: Sugarcane is an important sugar and energy crop largely used for bioethanol production in the world. The development of sugarcane cultivars with high sucrose content and yield is one of the biggest challenges of breeding programs nowadays. To identify genes networks that underlie sucrose content and yield, we used a custom designed oligonucleotide array with 21,901 different probes to study the transcriptome from breeding populations of sugarcane contrasting to sucrose content and genotypes contrasting to photosynthesis rate. Results: Physiological and biochemical data reveals that the transcriptome profiles described here showed a close relationship between sucrose content and stem development. A total of 2135 genes were differentially expressed in at least one experimental hybridization. We identified genes related to carbohydrate metabolism, cell wall metabolism and signal transduction. The same oligoarrays was used to detect transcription in both sense and antisense orientation. The enriched functional category from antisense expressed genes reveals light harvesting and circadian clock as the two top categories that can be related to photosynthesis and yield in sugarcane. Conclusions: Knowledge on the mechanisms underlying carbon partitioning and its relationship with sucrose accumulation in sugarcane stems would help defines routes to increase yield. Our findings showed for instance that sucrose accumulation and yield in sugarcane may be regulated by hormone signaling pathways, light harvesting and circadian clock genes. Analysis of the expression data and gene category enrichment provided an insight into signaling pathways and transcriptional control contrasting in high brix and low brix plants as well as differing photosynthesis rates and yield.