Project description:Phlox subulata, a perennial herbaceous flower, can survive during the winter of northeast China, where the temperature can drop to -30 °C, suggesting that P. subulata is an ideal model for studying the molecular mechanisms of cold acclimation in plants. However, little is known about the gene expression profile of P. subulata under cold stress. Here, we examined changes in cold stress-related genes in P. subulata. We sequenced three cold-treated (CT) and control (CK) samples of P. subulata. After de novo assembly and quantitative assessment of the obtained reads, 99,174 unigenes were generated. Based on similarity searches with known proteins in public protein databases, 59,994 unigenes were functionally annotated. Among all differentially expressed genes (DEGs), 8302, 10,638 and 11,021 up-regulated genes and 9898, 17,876, and 12,358 down-regulated genes were identified after treatment at 4, 0, and -10 °C, respectively. Furthermore, 3417 up-regulated unigenes were expressed only in CT samples. Twenty major cold-related genes, including transcription factors, antioxidant enzymes, osmoregulation proteins, and Ca²? and ABA signaling components, were identified, and their expression levels were estimated. Overall, this is the first transcriptome sequencing of this plant species under cold stress. Studies of DEGs involved in cold-related metabolic pathways may facilitate the discovery of cold-resistance genes.
Project description:Elettaria cardamomum (L.) Maton, known as 'queen of spices, is a perennial herbaceous monocot of the family Zingiberaceae, native to southern India. Cardamom is an economically valuable spice crop and used widely in culinary and medicinal purposes. In the present study, using Ion Proton RNA sequencing technology, we performed transcriptome sequencing and de novo transcriptome assembly of a wild and five cultivar genotypes of cardamom. RNA-seq generated a total of 22,811,983 (92 base) and 24,889,197 (75 base) raw reads accounting for approximately 8.21GB and 7.65GB of sequence data for wild and cultivar genotypes of cardamom respectively. The raw data were submitted to SRA database of NCBI under the accession numbers SRX1141272 (wild) and SRX1141276 (cultivars). The raw reads were quality filtered and assembled using MIRA assembler resulted with 112,208 and 264,161contigs having N50 value 616 and 664 for wild and cultivar cardamom respectively. The assembled unigenes were functionally annotated using several databases including PlantCyc for pathway annotation. This work represents the first report on cardamom transcriptome sequencing. In order to generate a comprehensive reference transcriptome, we further assembled the raw reads of wild and cultivar genotypes which might enrich the plant transcriptome database and trigger advanced research in cardamom genomics.
Project description:Mangosteen (Garcinia mangostana L.) is known for its delectable taste and contains high amount of xanthones which have been reported to possess anti-cancer, anti-inflammatory and other bioactive properties. However, stage-specific regulation of mangosteen fruit ripening has never been studied in detail. We have performed a comparative transcriptomic analysis of three ripening stages (Stage 0, 2 and 6) of mangosteen. We have obtained a raw data from six libraries through Illumina HiSeq 4000. A total of ~ 40 Gb of raw data were generated. Clean reads of 650,887,650 (bp) were obtained from 656,913,570 (bp) raw reads. The raw transcriptome data were deposited to SRA database, with the BioProject accession number of PRJNA339916. These data will be beneficial for transcriptome profiling in order to study the regulation of mangosteen fruit ripening. The lack of a complete sequence database from this species impedes protein identification. These data sets provide a reference data for the exploration of novel genes or proteins to understand mangosteen fruit ripening behaviour.
Project description:Japanese plum (Prunus salicina L.) is a fruit tree of the Rosaceae family, which is an economically important stone fruit around the world. Currently, Japanese plum breeding programs combine traditional breeding and plant physiology strategies with genetic and genomic analysis. In order to understand the flavonoid pathway regulation and to develop molecular markers associated to the fuit skin color (EST-SSRs), we performed a next generation sequencing based on Illumina Hiseq2000 platform. A total of 22.4 GB and 21 GB raw data were obtained from 'Lamoon' and 'Angeleno' respectively, corresponding to 85,404,726 raw reads to 'Lamoon' and 79,781,666 to 'Angeleno'. A total of 139,775,975 reads were filtered after removing low-quality reads and trimming the adapter sequences. De novo transcriptome assembly was performed using CLC Genome Workbench software and a total of 54,584 unique contigs were generated, with an N50 of 1343 base pair (bp) and a mean length of 829 bp. This work contributed with a specific Japanese plum skin transcriptome, providing two libraries of contrasting fruit skin color phenotype (yellow and red) and increasing substantially the GB of raw data available until now for this specie.
Project description:Polygonum minus plant is rich in secondary metabolites, especially terpenoids and flavonoids. Present study generates transcriptome resource for P. minus to decipher its secondary metabolite biosynthesis pathways. Raw reads and the transcriptome assembly project have been deposited at GenBank under the accessions SRX313492 (root) and SRX669305 (leaf) respectively.
Project description:The white-clawed crayfish (Austropotamobius pallipes) is an endangered species in Europe with limited genomic information. Despite its conservation status there is no transcriptomic data available for A. pallipes in public databases. The data here represents the first transcriptome profile of the white-clawed crayfish generated using Illumina stranded RNA sequencing. Pair-end reads were assembled de novo with three separate transcriptome assemblers (Trinity, RNABloom, and RNASpades) followed by transcript assembly reduction and gene reconstruction using the EvidentialGene pipeline. The transcriptome was functionally annotated using InterProScan and genes coding for carbohydrate-active enzymes were identified through the dbCAN2 server. Raw fastq reads and the final version of the transcriptome assembly have been deposited in the NCBI-SRA (SRR10549898) and NCBI-TSA (GICG01) databases.
Project description:Background:The number of studies using third-generation sequencing utilising Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) is rapidly increasing in many different research areas. Among them, plant full-length single-molecule transcriptome studies have mostly used PacBio sequencing, whereas ONT is rarely used. Therefore, in this study, we examined ONT RNA sequencing methods in plants. We performed a detailed evaluation of reads from PacBio, Nanopore direct cDNA (ONT Dc), and Nanopore PCR cDNA (ONT Pc) sequencing including characteristics of raw data and identification of transcripts. In addition, matched Illumina data were generated for comparison. Results:ONT Pc showed overall better raw data quality, whereas PacBio generated longer read lengths. In the transcriptome analysis, PacBio and ONT Pc performed similarly in transcript identification, simple sequence repeat analysis, and long non-coding RNA prediction. PacBio was superior in identifying alternative splicing events, whereas ONT Pc could estimate transcript expression levels. Conclusions:This paper made a comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome, the results indicate that ONT Pc is more cost-effective for generating extremely long reads and can characterise the transcriptome as well as quantify transcript expression. Therefore, ONT Pc is a new cost-effective and worthwhile method for full-length single-molecule transcriptome analysis in plants.
Project description:Prorocentrum donghaiense Lu is one of the most frequently occurred harmful algae in the coastal waters of China. The growth of P. donghaiense can be limited by nitrogen or phosphorus in marine environment. However, molecular mechanism of P. donghaiense in response to nitrogen and phosphorus limitation is poorly understood. In this study, we summarized the transcriptome datasets of P. donghaiense in response to nitrogen or phosphorus depletion. Raw data of approximately 19 GB in size were generated from IlluminaHiSeqTM 4000 sequencer. From 250, 539, 604 raw reads, 211, 394, 052 clean reads were obtained. The raw data were deposited into SRA database with the BioProject ID 436946. Our dataset will provide more scientific and valuable information for analyses of gene expression related to metabolic processes in P. donghaiense.
Project description:Loggerhead sea turtle Caretta caretta is widely distributed in the oceans of tropical and subtropical latitude. This turtle is an endangered species due to anthropic and natural factors that have decreased their population levels. In this study, RNA sequencing and de-novo assembly of genes expressed in blood were performed. The raw FASTQ files have been deposited on NCBI's SRA database with accession number SRX2629512. A total of 5.4 Gb raw sequence data were obtained, corresponding to 48,257,019 raw reads. Trinity pipeline was used to perform a de-novo assembly, we were able to identify 64,930 transcripts for female loggerhead turtle transcriptome with an N50 of 1131 bp. The obtained transcriptome data will be useful for further studies of the physiology, biochemistry and evolution in this species.
Project description:In modern agricultural production, maize is the most successful crop utilizing heterosis. 712C-ms22 is an important male sterile material in maize. In this study, we performed transcriptome sequencing analysis of the V10 stage of male inflorescence. Through this analysis, 27.63 million raw reads were obtained, and trimming of the raw data revealed 26.63 million clean reads, with an average match rate of 94.64%. Using Tophat software, we matched these clean reads to the maize reference genome. The abundance of 39,622 genes was measured, and 35,399 genes remained after filtering out the non-expressed genes across all the samples. These genes were classified into 19 categories by clusters of orthologous groups of protein annotation. Transcriptome sequencing analysis of the male sterile and fertile 712C-ms22 maize revealed some key DEGs that may be related to metabolic pathways. qRT-PCR analysis validated the gene expression patterns identified by RNA-seq. This analysis revealed some of the essential genes responsible for pollen development and for pollen tube elongation. Our findings provide useful markers of male sterility and new insights into the global mechanisms mediating male sterility in maize.