Data on the de novo transcriptome assembly for the migratory bird, the Common quail (Coturnix coturnix)

被引:1
|
作者
Marasco, Valeria [1 ]
Fusani, Leonida [1 ,2 ]
Pola, Gianni [3 ]
Smith, Steve [1 ]
机构
[1] Univ Vet Med Vienna, Konrad Lorenz Inst Ethol, Dept Interdisciplinary Life Sci, Savoyenstr 1a, A-1160 Vienna, Austria
[2] Univ Vienna, Dept Behav & Cognit Biol, Althanstr 14, A-1090 Vienna, Austria
[3] Ist Sperimentale Zootecn Sicilia, Via Roccazzo 85, I-90135 Palermo, Italy
来源
DATA IN BRIEF | 2020年 / 32卷
关键词
RNA-Sequencing transcriptome; De novo assembly annotation; Gene Ontology (GO) analysis; Common quail; Avian migration; GENERATION;
D O I
10.1016/j.dib.2020.106041
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Common or European quail (Coturnix coturnix) is a Galliform bird of ecological importance for research in the field of animal migration. The Common quail is also a game bird, thus, of great interest for recreational activities and conservation management. Here, we generated a high quality de novo transcriptome for the Common quail for which no reference genome is to date publicly available. The transcriptome was obtained from a population of Common quail originated from captive founders raised under laboratory conditions. Paired-end RNA-Sequencing reads were obtained from extracted total RNA of brain tissue punches (preoptic-hypothalamic region) of 23 quails, which yielded to 5.5-11.2 million reads per individual bird for a total of 236 million reads. After assembly optimization, we used a stringent filtering analysis pipeline to remove redundant and low confidence transcripts. The final transcriptome consisted of 22,293 transcripts of which 21,551 (97%) were provided with annotation data. Our data offers a high quality pipeline for compiling transcriptomes of complex non-genomic species. Our data also provide a robust reference for gene expression studies in this species or other related Galliform species, including the Japanese quail. (C) 2020 The Authors. Published by Elsevier Inc.
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页数:10
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