ABSTRACT: Chromosome-level reference genome analyses of Poncirus polyandra provide insights into the identification of resistance genes associated with cold and disease stresses
Project description:Grapes are a valuable fruit and an important economic crop in the world, where wine production is a major industry. Drought, salinity and extreme temperatures are abiotic stresses that can trigger significant complex responses in grapevines. This project investigates plant protein reactions in response to abiotic stresses, with particular reference to proteomic changes induced by the impact of hot and cold temperature stress on cultured Cabernet sauvignon cells. The aim of this quantitative label-free shotgun proteomics experiment is to provide insights into the targeted proteins, metabolic pathways and regulatory networks that are related to temperature stress in grapevine and futuristically assist in marker assisted selection.
Project description:Oil palm (Elaeis guineensis) is a highly productive oil crop and the most consumed vegetable oil globally due to its unique oil characteristics. Palm oil production is affected by abiotic stresses, leading to food security issues and huge economic losses. To understand the oil palm responses to different abiotic stresses at the transcriptional level, we performed RNA-Seq analyses of oil palm leaves treated with drought, high salinity, heat, cold and flood stresses compared with controls. A total of 18 libraries (three biological replicates per treatment) were generated with approximately 843 million of total clean reads after data filtering. Clean reads were mapped to the oil palm reference genome at a total mapping rate of more than 70%. The quantification of expression analysis enabled the identification of potential abiotic stress-responsive genes, co-expressed under multiple abiotic stresses and unigenes that were induced by a specific abiotic stress. The availability of these RNA-Seq datasets will provide a better understanding of the abiotic stress response mechanisms to develop climate-resilient oil palm planting materials.
2024-12-14 | GSE242922 | GEO
Project description:Integrated transcriptomics and metabolomics analyses provide insights into cold stress response in Argyranthemum frutescens
Project description:Comparative transcriptome analyses provide insights into the adaptation mechanisms to acute salt stresses in juvenile Sinonovacula constricta
Project description:Purpose: The goals of this study are studies the response of annual Zea mays ssp. mexicana L. under cold and drought stress Methods: The seedlings of zea may ssp. mexicana L. were generated by Illumina HiSeq2500 deep-sequencing. In order to generate a global overview of Zea mexicana transcriptome data, 3 of complement DNA (cDNA) libraries were prepared from RNA isolated from root, stem, and leave mixed tissues of Zea Mexicana from Control (24℃), Cold (4℃) and Drought (PEG2000, 20%) treatments and each teatment has two repetitions. The sequence reads that passed quality filters were merged and de novo to generate all transcripts set by Trinity with default parameter, which will be treated as reference genome. The number of paired-reads of each sample were mapped to reference genome by Bowtie software v1.1.1 and the number of mapped reads were calculated by RSEM. qRT-PCR validation was performed using BIO-RAD CFX96 sequence detection system and SYBR Green assays. Results: Using RNA-Seq technology with the Trinity assembled method, we generated a seedling plant transcriptome at a sequencing size of 51.78Gb of Zea mays ssp. mexicana L. from pooled RNA samples which included control (CK), cold (4℃) and drought (PEG2000, 20%) stressed plant samples. A total of 414,232,462 high quality clean reads were used to conduct de novo assembly and annotation of genes without reference genome information. All of these reads were assembled into 251,145 transcripts (N50 = 1,269 bp) and 184,280 unigenes (N50 = 923 bp). A total of 3,504 up-regulated and 1,220 down-regulated genes were detected under cold stress and 532 up-regulated and 82 down-regulated genes were detected under drought stress. A Venn diagram indicated that 208 genes were affected by both cold and drought stresses. 3 cold stress pathways and 5 drought related pathways showed significant KEGG pathways. Functional enrichment analyses identified many common or specific biological processes and gene sets in response to drought and cold stresses. The ABA dependent pathway, trehalose synthetic pathway and CBF6 gene of ICE1-CBF pathway may play important roles in the DEGs co-up-regulated by both stresses of Zea mays ssp. mexicana L. Conclusions: We analyzed transcriptome data and gene expression profile information from seedlings of Zea mays ssp. mexicana L. under cold and drought stresses. Together these data provides the most comprehensive sequence study available for Zea mays ssp. mexicana L. and provides some important functional genes and molecular mechanism information for improving the quality characteristic of maize in the future.
Project description:Aspergillus display an amazing level of diversity in physiologies, and environments that they occupy. Strategies for coping with diverse environmental stresses have evolved in different Aspergillus species. Therefore, Aspergillus are considered to be good models for investigating the adaptation and response to many natural and anthropogenic environmental stressors. Recent genome sequencing projects in several Aspergillus have provided insights into the molecular and genetic mechanisms underlying their responses to some environmental stressors. However, to better clarify the conserved and differentiated features of the adaptive response to specific stresses and to trace the evolutionary process of environmental adaptation and response in Aspergillus, insight from more Aspergillus species with different evolutionary positions, such as A. glaucus, and thus offer a large number of models of adaptation and response to various environmental stresses. Here, we report a high-quality reference genome assembly of A. glaucus CCHA from the surface of wild vegetation around saltern of Jilin, China, based on sequence data from whole-genome shotgun (WGS) sequencing platforms of Illumina solexa technologies. This assembly contains 106 scaffolds ( >1 Kb; N50 = ~0.795 Mb), has a length of ~28.9 Mb and covers ~97% of the predicted genome size (~120 Mb). Together with the data analyses from comprehensive transcriptomic surveys and comparative genomic analyses, we aim to obtain new insights into molecular mechanisms of the adaptation to living at high salt in the saltern