Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dataset for de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus.

ABSTRACT: In this article, we report the first de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus. In this data, 75,320,390 raw reads were acquired from African bullfrog mRNA using Illumina paired-end sequencing platform. De novo assembly resulted in a total of 136,958 unigenes. In the obtained unigenes, 30,039 open reading frames (ORFs) were detected. This dataset provides basic information for molecular level analysis of this species, which undergoes a state of dormancy under dry conditions at ordinary temperatures called estivation.

SUBMITTER: Yoshida N

PROVIDER: S-EPMC7082503 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Dataset for de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus.

Yoshida Naoki N Kaito Chikara C

Data in brief 20200306

In this article, we report the first de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus. In this data, 75,320,390 raw reads were acquired from African bullfrog mRNA using Illumina paired-end sequencing platform. De novo assembly resulted in a total of 136,958 unigenes. In the obtained unigenes, 30,039 open reading frames (ORFs) were detected. This dataset provides basic information for molecular level analysis of this species, which undergoes a sta ...[more]

PMID: 32211462

Similar Datasets

Dataset from de novo transcriptome assembly of Nephelium lappaceum aril.

Project description:Nephelium lappaceum (Rambutan), is one of tropical fruit in which - cultivated widely in Indonesia and has good taste and aroma. However, the transcriptomic study of rambutan has limited. In this study, we performed transcriptome assembly using paired-end Illumina technology. The assembled transcriptome was constructed using Trinity and after filtering and removal sequences redundancy produced 36,303 contigs. The contig ranged 201-11,770 bp and N50 has 1327 bp. The contig was annotated with several databases such as SwissProt, TrEMBL, and nr/nt of NCBI databases. The raw reads are deposited in the DDBJ with DRA accession number, DRA007359: https://www.ncbi.nlm.nih.gov/sra/?term=DRA007359. The assembled contigs of transcriptome are deposited in the DDBJ TSA repository with accession number IADQ01000001-IADQ01036303: ftp://ftp.ddbj.nig.ac.jp/ddbj_database/tsa/IADQ.gz and also can be accessed at http://rujakbase.id.

| S-EPMC6321968 | biostudies-literature

Dataset of de novo transcriptome assembly of Rhizome in Curcuma aeruginosa Roxb.

Project description:Curcuma aeruginosa Roxb. is an Indonesian traditional medicinal plant of the Zingiberaceae family. C. aeruginosa is known to have anticancer activity, especially in the rhizomes. Despite many studies on the phytochemical content of this plant with antioxidant and anticancer activity, transcriptomic studies are still limited in terms of genetic information. We ran transcriptome of Curcuma aeruginosa using a paired-end Illumina NextSeq 550 with PE150 mode and generating 12.8 GB of raw data. Raw reads have been filed with NCBI under project number PRJNA918644. This dataset allowed us to identify genes associated with biosynthetic pathways of anticancer drugs. Transcriptome data can also be used to develop new EST-SSR and SNP markers for use in plant breeding programs.

| S-EPMC10293965 | biostudies-literature

The first dataset of de novo transcriptome assembly of Heterotrigona itama (Apidae, Meliponinae) queen larva.

Project description:Heterotrigona itama is a species of stingless bee recently domesticated (or reared) for honey production in a few Southeast Asian countries namely Malaysia and Indonesia. Being categorized in the clade Corbiculata together with the honeybees (Apis spp.) and bumble bees (Bombus spp.), the stingless bees are highly social in which the colony members are subjected to labor division where a queen functions as the reproductive caste. In this data article, we provide a resource encompassing a transcriptome profile (de novo assembled) from H. itama queen larva - the first report of transcriptome assembly for this species. The generated data is pivotal for the characterization of important genes and biological pathways in order to further improve our understanding on the developmental biology, behavior, social structure and ecological needs of this eusocial hymenopteran insect from the molecular aspect. The raw RNA sequencing data is available at NCBI Sequence Read Archive (SAR) under the accession number SRP230250 and the assembled reads are deposited at DDBJ/EMBL/Genbank as Transcriptome Shotgun Assembly (TSA) under the accession GIIH00000000.

| S-EPMC7013129 | biostudies-literature

Dataset of de novo assembly and functional annotation of the transcriptome of blueberry (Vaccinium spp.).

Project description:Blueberry is an economically important berry crop. Both production and consumption of blueberries have increased sharply worldwide in recent years at least partly due to their known health benefits. The development of improved genomic resources for blueberry, such as a well-assembled genome and transcriptome, could accelerate breeding through genomic-assisted approaches. To enrich available transcriptome data and identify genes potentially involved in fruit quality, RNA sequencing was performed on fruit tissue from two northern-adapted hybrid blueberry breeding populations. RNA-seq was carried out using the Illumina HiSeqTM 2500 platform. Because of the absence of a reference-grade genome for blueberry, a transcriptome was de novo assembled from this RNA-seq data and other publicly available transcriptome data from blueberry downloaded from the National Center for Biotechnology Information (NCBI) Short Read Archive (SRA) using Trinity. After removing redundancy, this resulted in a dataset of 91,861 blueberry unigenes. This unigene dataset was functionally annotated using the NCBI-Nr protein database. All raw reads from the breeding populations were deposited in the NCBI SRA with accession numbers SRR6281886, SRR6281887, SRR6281888, and SRR6281889. The de novo transcriptome assembly was deposited at NCBI Transcriptome Shotgun Assembly (TSA) database with accession number GGAB00000000. These data will provide real expression evidence for the blueberry genome gene prediction and gene functional annotation and a reference transcriptome for future gene expression studies involving blueberry fruit.

| S-EPMC6718820 | biostudies-literature

Dataset of the first de novo transcriptome assembly of the arillode of Baccaurea motleyana.

Project description:Baccaurea motleyana Müll. Arg. (rambai) is one of the underutilized fruit natives to Indonesia, Thailand, and Malaya Peninsula and it is mostly cultivated in Java island (Lim, 2012) [1]. The edible part of fruits is white and reddish arillodes in which having sweet to acid-sweet tastes. However, nucleotide as well as transcriptome information of this species is still scarce, no information has been deposited in GenBank. In this data article, we performed for the first time of de novo assembly of transcriptome using paired-end Illumina technology. The assembled contigs were constructed using Trinity and after filtering and clustering, produced 37,077 contigs. The contig ranged 201-4972 bp and N50 has 696 bp. The contig was annotated with several database such as SwissProt, TrEMBL, nr and nt NCBI databases. The raw reads were deposited in DDBJ with DRA numbers, DRA007358. The assembled contigs of transcriptome are deposited in the DDBJ TSA with accession number, IADP01000001-IADP01037077 and also can be accessed at http://rujakbase.id.

| S-EPMC6307336 | biostudies-literature

Informed kmer selection for de novo transcriptome assembly.

Project description:MotivationDe novo transcriptome assembly is an integral part for many RNA-seq workflows. Common applications include sequencing of non-model organisms, cancer or meta transcriptomes. Most de novo transcriptome assemblers use the de Bruijn graph (DBG) as the underlying data structure. The quality of the assemblies produced by such assemblers is highly influenced by the exact word length k As such no single kmer value leads to optimal results. Instead, DBGs over different kmer values are built and the assemblies are merged to improve sensitivity. However, no studies have investigated thoroughly the problem of automatically learning at which kmer value to stop the assembly. Instead a suboptimal selection of kmer values is often used in practice.ResultsHere we investigate the contribution of a single kmer value in a multi-kmer based assembly approach. We find that a comparative clustering of related assemblies can be used to estimate the importance of an additional kmer assembly. Using a model fit based algorithm we predict the kmer value at which no further assemblies are necessary. Our approach is tested with different de novo assemblers for datasets with different coverage values and read lengths. Further, we suggest a simple post processing step that significantly improves the quality of multi-kmer assemblies.ConclusionWe provide an automatic method for limiting the number of kmer values without a significant loss in assembly quality but with savings in assembly time. This is a step forward to making multi-kmer methods more reliable and easier to use.Availability and implementationA general implementation of our approach can be found under: https://github.com/SchulzLab/KREATIONSupplementary information: Supplementary data are available at Bioinformatics online.Contactmschulz@mmci.uni-saarland.de.

| S-EPMC4892416 | biostudies-literature

Pyxicephalus adspersus isolate:1538 | breed:African Bullfrog

Project description:Pyxicephalus adspersus isolate:1538 | breed:African Bullfrog Genome sequencing and assembly

| PRJNA439445 | ENA

Dataset from de novo transcriptome assembly of Myristica fatua leaves using MinION nanopore sequencer.

Project description:Myristica fatua is a tropical fruit tree species originating from Indonesia. Very few genomic resources are available for the species. We developed a full-length transcriptome assembly using long-read sequencing (MinION Nanopore technology) and produced 4.3 million reads (3.5 G of bases). The assembled full-length transcript was constructed using the RATTLE program and assembled 21,098 transcripts. The transcript ranged from 201 - 14,174 bp, and N50 was 2,017 bp. The transcripts were annotated with the UNIPROT database using BlastX. The functional annotation was performed using Blast2go software. The 8,445 microsatellite motif-containing contigs were identified. The raw reads are deposited in the ENA (European Nucleotide Archive) with ENA experiment accession number ERX6798613.

| S-EPMC9803912 | biostudies-literature

Effect of de novo transcriptome assembly on transcript quantification.

Project description:Correct quantification of transcript expression is essential to understand the functional elements in different physiological conditions. For the organisms without the reference transcriptome, de novo transcriptome assembly must be carried out prior to quantification. However, a large number of erroneous contigs produced by the assemblers might result in unreliable estimation. In this regard, this study investigates how assembly quality affects the performance of quantification based on de novo transcriptome assembly. We examined the over-extended and incomplete contigs, and demonstrated that assembly completeness has a strong impact on the estimation of contig abundance. Then we investigated the behavior of the quantifiers with respect to sequence ambiguity which might be originally presented in the transcriptome or accidentally produced by assemblers. The results suggested that the quantifiers often over-estimate the expression of family-collapse contigs and under-estimate the expression of duplicated contigs. For organisms without reference transcriptome, it remains challenging to detect the inaccurate estimation on family-collapse contigs. On the contrary, we observed that the situation of under-estimation on duplicated contigs can be warned through analyzing the read proportion of estimated abundance (RPEA) of contigs in the connected component inferenced by the quantifiers. In addition, we suggest that the estimated quantification results on the connected component level have better accuracy over sequence level quantification. The analytic results conducted in this study provides valuable insights for future development of transcriptome assembly and quantification.

| S-EPMC6549443 | biostudies-literature

De novo transcriptome assembly of Setatria italica variety Taejin.

Project description:Foxtail millet (Setaria italica) belonging to the family Poaceae is an important millet that is widely cultivated in East Asia. Of the cultivated millets, the foxtail millet has the longest history and is one of the main food crops in South India and China. Moreover, foxtail millet is a model plant system for biofuel generation utilizing the C4 photosynthetic pathway. In this study, we carried out de novo transcriptome assembly for the foxtail millet variety Taejin collected from Korea using next-generation sequencing. We obtained a total of 8.676 GB raw data by paired-end sequencing. The raw data in this study can be available in NCBI SRA database with accession number of SRR3406552. The Trinity program was used to de novo assemble 145,332 transcripts. Using the TransDecoder program, we predicted 82,925 putative proteins. BLASTP was performed against the Swiss-Prot protein sequence database to annotate the functions of identified proteins, resulting in 20,555 potentially novel proteins. Taken together, this study provides transcriptome data for the foxtail millet variety Taejin by RNA-Seq.

| S-EPMC4878839 | biostudies-literature