A dataset of 40 assembled and annotated transcriptomes from 34 species in Silene and related genera.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-11-01 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111094

Patrik Cangren, Yann J K Bertrand, John M Braverman, Gregor Duncan Gilfillan, Matthew B Hamilton, Bengt Oxelman

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引用次数: 0

Abstract

A dataset of 40 assembled and annotated transcriptomes from 34 different species sampled from phylogenetically diverse parts of the flowering plant genus Silene (Caryophyllaceae) and the related genera Agrostemma, Atocion, Eudianthe, Heliosperma, Petrocoptis and Viscaria. RNA extracted from roots, stems, leaves, buds and flowers were sequenced using paired end reads on the Illumina Hiseq platform. A total of 716 million raw reads were produced and assembled into 2.67 million isogroups ("genes"). Contigs from all samples were annotated using UniProt/SwissProt and assigned with GO-terms. A total of 974274 annotations were made (per sample average 24357, stdev 7034), giving an annotation proportion of 37% (per sample average 39%, stdev 9.75%). 741087 of the annotations had taxonomic identities within Magnoliopsida (per sample average 18527, stdev 3931), resulting in assignment of 4519488 GO-terms (per sample average 112987, stdev 22536). The data set can be further utilized for biological research and phylogenetic studies, evolutionary questions, functional analyses of genes, polyploidy as well as for marker development.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.