Project description:Bioinformatic prediction, deep sequencing of microRNA and expression analysis during phenotypic plasticity in the pea aphid acyrthosiphon pisum We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 155 miRNAs including 56 conserved and 99 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode.
2010-03-01 | GSE20107 | GEO
Project description:Transcriptome data of pea leaves
| PRJNA752108 | ENA
Project description:Pea seedling root transcriptome data
Project description:Pea (Pisum. sativum L.) is a traditional and important edible legume that can be sorted into grain pea and vegetable pea according to their harvested maturely or not. Vegetable pea by eating the fresh seed is becoming more and more popular in recent years. These two type peas display huge variations of the taste and nutrition, but how seed development and nutrition accumulation of grain pea and vegetable pea and their differences at the molecular level remains poorly understood. To understand the genes and gene networks regulate seed development in grain pea and vegetable pea, high throughput RNA-Seq and bioinformatics analysis were used to compare the transcriptomes of vegetable pea and grain pea developing seed. RNA-Seq generated 18.7 G raw data, which was then de novo assembled into 77,273 unigenes with a mean length of 930 bp. Functional annotation of the unigenes was carried out using the nr, Swiss-Prot, COG, GO and KEGG databases. There were 459 and 801 genes showing differentially expressed between vegetable pea and grain pea at early and late seed maturation phases, respectively. Sugar and starch metabolism related genes were dramatically activated during pea seed development. The up-regulated of starch biosynthesis genes could explain the increment of starch content in grain pea then vegetable pea; while up-regulation of sugar metabolism related genes in vegetable pea then grain pea should participate in sugar accumulation and associated with the increase in sweetness of vegetable pea then grain pea. Furthermore, transcription factors were implicated in the seed development regulation in grain pea and vegetable pea. Thus, our results constitute a foundation in support of future efforts for understanding the underlying mechanism that control pea seed development and also serve as a valuable resource for improved pea breeding.
Project description:transcriptome changes in pea leaves with sulfur deficency/sufficiency during reproductive phase.-Characterization of transcriptome changes in leaves of wild-type and PsSultr4 mutant lines (for a sulfur transporter) subjected or not to sulfur deficiency during the reproductive phase 4plex_pea_2014_01 - transcriptome changes in pea leaves with sulfur deficency/sufficiency during reproductive phase. - Role of sulfur and of the sulfate store in leaf metabolism. - Comparison of: 1- The leaf transcriptome of pea subjected or not to sulfur deficiency during the reproductive phase (S+ versus S –) 2- The leaf transcriptome of wild-type and mutant lines for a sulfur transporter (two TILLING alleles) grown under sulfur sufficient conditions : WT1/Mut1 S+ et WT2/Mut2 S+ 3- The leaf transcriptome of wild-type and mutant lines for a sulfur transporter (two TILLING alleles) grown under sulfur deficient conditions : WT1/Mut1 S+ et WT2/Mut2 S+
Project description:We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 155 miRNAs including 56 conserved and 99 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode.
Project description:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment.
Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.
Project description:Bioinformatic prediction, deep sequencing of microRNA and expression analysis during phenotypic plasticity in the pea aphid acyrthosiphon pisum We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 155 miRNAs including 56 conserved and 99 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode. deep sequencing of small RNAs from parthenogenetic Acyrthosiphon pisum
Project description:Pea (Pisum sativum L.) cultivar Arka Chaitra (AC) is considered heat tolerant variety, whereas cultivar Matar Ageta (MA) the heat sensitive variety. In this study, we initially report the repertoire of morpho-physiological traits namely pod number (PNP), weight of pods (PW), seed number/pod (SNP) and weight of seed/pod (SW) during high temperature environment in AC and MA. Subsequently, we conducted pollen viability assay to further examine the pollen behaviour under heat stress (HS). Morpho-physiological analysis revealed that cultivar AC exhibited greater number of pods and seeds, as well as higher pod and seed weights, compared to MA under HS. Furthermore, pollen viability in cultivar AC was reduced by 23%, whereas in cultivar MA, it was reduced by 41%, indicating that AC possess robust tolerance mechanisms under high temperature conditions. Based on these observations, we delve deeper to investigate the regulatory mechanisms by profiling the transcriptomes of cultivars AC and MA using RNA Sequencing under HS. We identified 1922 DEGs in the ACCON-ACHS cluster, 411 DEGs in the MACON-MAHS cluster, and 11,129 DEGs in the ACHS-MAHS cluster indicating substantial transcriptional reprogramming induced by HS. Further, the identified DEGs were annotated through gene ontology (GO) analysis, revealing a significant GO term associated with pollen and flower development, heat stress proteins, and plastid development in tolerant variety, in contrast, the sensitive variety was enriched with GO terms related to cell morphogenesis, cell growth, and cell wall biogenesis. These findings provide in-depth analysis of genes and pathways involved in imparting thermotolerance across pea cultivars AC and MA.