半野生盖牛(Bos frontalis)的从头转录组组装和注释。

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Zhendong Gao, Bo Wang, Ying Lu, Yuqing Chong, Mengfei Li, Jieyun Hong, Jiao Wu, Dongmei Xi, Weidong Deng
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引用次数: 0

摘要

盖雅牛是一种罕见的半野生牛,生活在印度支那的恶劣环境中。尽管盖雅族的起源仍然是一个谜,但解决缺乏全面的转录组学数据对于了解其遗传和分子特征至关重要,这对于制定有效的保护和管理计划至关重要。本研究采用PacBio Iso-seq和RNA-seq对10个不同器官和组织样本进行了综合分析,每个样本进行了三次测序。分析的样本包括心脏、肝脏、脾脏、肺、肾脏、瘤胃、皱胃、十二指肠、回肠和直肠。这项综合分析鉴定出30,760个全长转录本,范围从363 bp到7,157 bp不等,转录本信息与7个常用数据库相匹配。基因家族聚类和系统发育分析涵盖了9个牛种的综合数据集,其中包括盖雅牛。此外,在所有样本组织中鉴定了长链非编码rna (lncRNAs),并进行了全面的基因表达谱和差异表达基因分析。这些发现提供了丰富的遗传信息库,为全面的功能基因组学研究奠定了基础,为深入了解盖雅族的分子机制铺平了道路,从而促进了我们对其转录组结构的理解,并为保护工作和实际应用提供了重要的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
De novo transcriptome assembly and annotation of the semi-wild Gayal (Bos frontalis).

The Gayal (Bos frontalis) is a rare semi-wild Bovine species that inhabits the harsh environments of Indo-China. Although the origins of the Gayal remain largely enigmatic, addressing the lack of comprehensive transcriptomic data is critical for understanding its genetic and molecular characteristics, which are essential for formulating effective conservation and management plans. In this study, an integrated PacBio Iso-seq and RNA-seq analysis was conducted on samples from 10 different organs and tissues of the Gayal, with each being sequenced in triplicate. The samples analyzed included the heart, liver, spleen, lung, kidney, rumen, abomasum, duodenum, ileum, and rectum. This comprehensive analysis resulted in the identification of 30,760 full-length transcripts ranging from 363 bp to 7,157 bp, with transcript information matched to seven commonly used databases. Gene family clustering and phylogenetic analyses encompassed a comprehensive dataset of 9 Bovine species, including the Gayal. Additionally, long non-coding RNAs (lncRNAs) were identified across all sampled tissues, and comprehensive gene expression profiles and differential expression gene analyses were performed. These findings provide a rich repository of genetic information, laying the foundation for comprehensive functional genomics studies and paving the way for deeper insights into the molecular mechanisms of the Gayal, thereby advancing our understanding of its transcriptome architecture and offering crucial data for conservation efforts and practical applications.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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