Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptome sequencing of Prunus mume for different tissues.

ABSTRACT: We have sequenced a wild Prunus mume and constructed a reference sequence for this genome. In order to improve quality of gene models, RNA samples of five tissues (bud, leaf, root, stem, fruit) were extracted from the Prunus mume. To investigate tissue specific expression using the reference genome assembly and annotated genes, we extracted RNA samples of different tissues and conducted transcriptome sequencing and DEG analysis. Five RNA pools were created corresponding to different tissues of the Prunus mume.

ORGANISM(S): Prunus mume

SUBMITTER: Zhijun Zheng

PROVIDER: E-GEOD-40162 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The domestic goat, Capra hircus (2n=60), is one of the most important domestic livestock species in the world. Here we report its high quality reference genome generated by combining Illumina short reads sequencing and a new automated and high throughput whole genome mapping system based on the optical mapping technology which was used to generate extremely long super-scaffolds. The N50 size of contigs, scaffolds, and super-scaffolds for the sequence assembly reported herein are 18.7 kb, 3.06 Mb, and 18.2 Mb, respectively. Almost 95% of the supper-scaffolds are anchored on chromosomes based on conserved syntenic information with cattle. The assembly is strongly supported by the RH map of goat chromosome 1. We annotated 22,175 protein-coding genes, most of which are recovered by RNA-seq data of ten tissues. Rapidly evolving genes and gene families are enriched in metabolism and immune systems, consistent with the fact that the goat is one of the most adaptable and geographically widespread livestock species. Comparative transcriptomic analysis of the primary and secondary follicles of a cashmere goat revealed 51 genes that were significantly differentially expressed between the two types of hair follicles. This study not only provides a high quality reference genome for an important livestock species, but also shows that the new automated optical mapping technology can be used in a de novo assembly of large genomes. Corresponding whole genome sequencing is available in NCBI BioProject PRJNA158393. We have sequenced a 3-year-old female Yunnan black goat and constructed a reference sequence for this breed. In order to improve quality of gene models, RNA samples of ten tissues (Bladder, Brain, Heart, Kidney, Liver, Lung, Lymph, Muscle, Ovarian, Spleen) were extracted from the same goat which was sequenced. To investigate the genic basis underlying the development of cashmere fibers using the goat reference genome assembly and annotated genes, we extracted RNA samples of primary hair follicle and secondary hair follicle from three Inner Mongolia cashmere goats and conducted transcriptome sequencing and DGE analysis. This submission represents RNA-Seq component of study.

Project description:Purpose: The State of Rio Grande do Sul is the largest producer of peaches from Brazil. However, it still has low values of productivity when compared to other States. One of the problems associated to it this is the occurrence of drainage soils problems, which can suffer flooding situations potentially hampering the development and productivity such culture. For studies to assist in the selection of flood tolerant genotypes, it is essential to understand the physiological and molecular changes of the plants in situations of oxygen deprivation. Using Illumina Hiseq2500 we performed transcriptome analysis of leaves from ‘Capdeboscq’ (Prunus persica) and ‘Julior’ (Prunus insititia x Prunus domestica) rootstocks under flooding for 48 hours. Methods: The mRNA of Prunus spp. plants cv. Capdeboscq e Julior was generated using deep sequencing, in triplicate, using Illumina Hi-Seq 2500, for the following treatments:I) control: plants received irrigation daily until field capacity; and II) plants exposed to flood stress, maintaining a water level of approximately 3 cm above the ground. The sequence reads that passed quality filters were analyzed at the transcript level using this method: Mapping using STAR and identification of differentially expressed genes (DEGs) was performed with the edgeR (false discovery rates - FDRs of <0.05). RT–qPCR validation was performed using SYBR Green assays. Results: Flooding stress causes important high transcriptional changes in the ‘Capdeboscq’ compared to 'Julior' and this is mainly due to their sensitivity/tolerance levels. ‘Capdeboscq’ had photosynthesis as the most affected physiological process at the molecular level, showing a large number of down-regulated enriched GOs, even though it activated cellular signaling pathways under flooding. 'Julior' was more efficient in defense responses, which include the activation of flavonoid biosynthesis pathways. Conclusions: The analysis of two Prunus spp. rootstocks contrasting to the level of tolerance / sensitivity provide new insights into the process of plant flood stress tolerance.

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Transcriptome sequencing of Prunus mume for different tissues.

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