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De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore
Scientific Data ( IF 9.8 ) Pub Date : 2024-05-11 , DOI: 10.1038/s41597-024-03338-5
Yifan Wang , Yiming Huang , Yongkang Zhen , Jiasheng Wang , Limin Wang , Ning Chen , Feifan Wu , Linna Zhang , Yizhao Shen , Congliang Bi , Song Li , Kelsey Pool , Dominique Blache , Shane K. Maloney , Dongxu Liu , Zhiquan Yang , Chuang Li , Xiang Yu , Zhenbin Zhang , Yifei Chen , Chun Xue , Yalan Gu , Weidong Huang , Lu Yan , Wenjun Wei , Yusu Wang , Jinying Zhang , Yifan Zhang , Yiquan Sun , Shengbo Wang , Xinle Zhao , Chengfang Luo , Haodong Wang , Luoyang Ding , Qing-Yong Yang , Ping Zhou , Mengzhi Wang

Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.



中文翻译:

来自七种家养草食动物各 100 个组织的从头转录组组装数据库

驯化的食草动物是重要的农业资源,在全球粮食安全中发挥着关键作用,特别是因为它们能够适应包括贫瘠土地在内的各种环境。了解其生物学的分子基础将有助于更好的管理和可持续生产。因此,我们对七种草食动物(牛、绵羊、山羊、梅花鹿、马、驴和兔子)(包括两个品种的羊)各两只雌性的 100 至 105 个组织进行了转录组测序。使用 FastQC 根据碱基质量、GC 含量、重复序列率、过度表达的 k-mers 和质量得分分布来评估原始和修剪读数的质量。高质量过滤后的RNA-seq原始reads存入公共数据库,该数据库总共提供约540亿条高质量双端测序reads,平均映射率约为93.92%。转录组数据库代表了宝贵的资源,可用于研究基因表达模式以及与关键生物过程相关的途径,包括草食动物的重要经济性状。

更新日期:2024-05-11
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