Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Qi X

PROVIDER: S-EPMC6718820 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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

Qi Xinpeng X Ogden Elizabeth L EL Ehlenfeldt Mark K MK Rowland Lisa J LJ

Data in brief 20190812

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 ...[more]

PMID: 31497632

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Project description:The coconut rhinoceros beetle, Oryctes rhinoceros L. (Insecta: Coleoptera: Scarabaeidae: Dynastinae) is one of the world's most important endemic and incessant pests of coconut (particularly in India and Southeast Asia), causing an estimated 10% yield loss in the crop. Various management strategies formulated and implemented to control this pest include bioagents, insecticide sprays, liquid formulations, pheromone traps, and botanical formulations. Also, potential microbial bioagents viz., Oryctes rhinoceros nudivirus (OrNV) and Metarhizium anisopliae have been implemented as biological control agents and this has led to a beneficial reduction of the pest population unless significant immigration occurs. To date, research and development activities are still on-going for the successful management of the pest; yet advances in understanding at the molecular level have been limited because basic genomic information is lacking for this cosmopolitan pest. Transcriptome approach has been proved extremely useful in finding potential genes for pest control. Transcriptome analysis aids in gaining insights into the transcriptional changes which occur during different developmental stages of an organism. We have performed RNA sequencing of certain different developmental stages of O. rhinoceros viz., early instar larva, late instar larva, pupa, and adult, in an Illumina HiSeq™ 2500 platform. Due to the unavailability of O. rhinoceros genome, the RNA-seq data generated were assembled de novo using Trinity and annotated following redundancy removal. A dataset of 87,451 transcripts, which resulted after redundancy removal, were annotated using the NCBI non-redundant (nr) protein and Uniprot databases. The data furnished could be used by others working in the development of pest management strategies, especially the identification of molecular targets for effective pest control. This information allows a better understanding of O. rhinoceros biology which would contribute to outlining a new generation of stage-specific, environmentally friendly pest management techniques.

Dataset Information

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

Publications

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

Similar Datasets

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