Dataset Information

Peach RNA viromes in six different peach cultivars.

ABSTRACT: Many recent studies have demonstrated that several known and unknown viruses infect many horticultural plants. However, the elucidation of a viral population and the understanding of the genetic complexity of viral genomes in a single plant are rarely reported. Here, we conducted metatranscriptome analyses using six different peach trees representing six individual peach cultivars. We identified six viruses including five viruses in the family Betaflexiviridae and a novel virus belonging to the family Tymoviridae as well as two viroids. The number of identified viruses and viroids in each transcriptome ranged from one to six. We obtained 18 complete or nearly complete genomes for six viruses and two viroids using transcriptome data. Furthermore, we analyzed single nucleotide variations for individual viral genomes. In addition, we analyzed the amount of viral RNA and copy number for identified viruses and viroids. Some viruses or viroids were commonly present in different cultivars; however, the list of infected viruses and viroids in each cultivar was different. Taken together, our study reveals the viral population in a single peach tree and a comprehensive overview for the diversities of viral communities in different peach cultivars.

SUBMITTER: Jo Y

PROVIDER: S-EPMC5789896 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Peach RNA viromes in six different peach cultivars.

Jo Yeonhwa Y Lian Sen S Chu Hyosub H Cho Jin Kyong JK Yoo Su-Hyun SH Choi Hoseong H Yoon Ju-Yeon JY Choi Seung-Kook SK Lee Bong Choon BC Cho Won Kyong WK

Scientific reports 20180130 1

Many recent studies have demonstrated that several known and unknown viruses infect many horticultural plants. However, the elucidation of a viral population and the understanding of the genetic complexity of viral genomes in a single plant are rarely reported. Here, we conducted metatranscriptome analyses using six different peach trees representing six individual peach cultivars. We identified six viruses including five viruses in the family Betaflexiviridae and a novel virus belonging to the ...[more]

PMID: 29382911

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Project description:Quantitative real-time PCR (qRT-PCR) has been emerged as an effective method to explore the gene function and regulatory mechanisms. However, selecting appropriate reference gene (s) is a prerequisite for obtaining accurate qRT-PCR results. Peach is one of important fruit in Rosaceae and is widely cultivated worldwide. In this study, to explore reliable reference gene (s) in peach with different types during fruit ripening and softening (S1-S4), nine candidate reference genes (EF-1α, GAPDH, TBP, UBC, eIF-4α, TUB-A, TUB-B, ACTIN, and HIS) were selected from the whole-genome data. Then, the expression levels of the nine selected genes were detected using qRT-PCR in three peach types, including 'Hakuho' (melting type), 'Xiacui' (stony hard type), 'Fantasia' and 'NJC108' (non-melting type) cultivars were detected using qRT-PCR. Four software (geNorm, NormFinder, BestKeeper and RefFinder) were applied to evaluate the expression stability of these candidate reference genes. Gene expression was characterized in different peach types during fruit ripening and softening stages. The overall performance of each candidate in all samples was evaluated. The Actin gene (ACTIN) was a suitable reference gene and displayed excellent stability in 'Total' set, 'Hakuho' samples, S3 and S4 fruit developmental stages. Ubiquitin C gene (UBC) showed the best stability in most independent samples, including 'Fantasia', 'NJC108', S2 sets. Elongation factor-1α gene (EF-1α) was the most unstable gene across the set of all samples, 'NJC108' and S2 sets, while showed the highest stability in 'Xiacui' samples. The stability of candidate reference genes was further verified by analyzing the relative expression level of ethylene synthase gene of Prunus persica (PpACS1) in fruit ripening and softening periods of 'Hakuho'. Taken together, the results from this study provide a basis for future research on the mining of important functional genes, expression patterns and regulatory mechanisms in peach.

Dataset Information

Peach RNA viromes in six different peach cultivars.

Publications

Peach RNA viromes in six different peach cultivars.

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