在牛群中优化成本效益高的基因表达表型化方法,使用3'mRNA测序
Ruwaa I Mohamed1, Taylor B Ault-Seay2, Sonia J Moisá2
1Genome Science and Technology Program, Bredesen Center, University of Tennessee, Knoxville, TN, USA.
BMC genomics
|April 16, 2025
概括
在牛中使用Takara SMART-Seq v4 3'DE套件优化3'mRNA测序 (3'mRNA-Seq) 为分子表型和基因型赋值提供了具有成本效益的方法,需要最小的测序深度.
科学领域:
- 牲畜基因组学 动物基因组学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 牲畜中的遗传和基因组选择需要广泛的表型,这通常是昂贵和困难的特征,如肉质量或疾病耐药性.
- 通过具有成本效益的测序利用分子中间体为捕获关键动物数据提供了一个可扩展的替代方案.
研究的目的:
- 优化3'mRNA测序 (3'mRNA-Seq) 以便于使用全血样本在牛群中进行具有成本效益的分子表型化.
- 确定最有效的图书馆准备套件和最佳的测序深度,以捕获基因表达表现型.
主要方法:
- 与Takara SMART-Seq v4 3'DE和Lexogen QuantSeq图书馆准备套件进行比较,用于3'mRNA-Seq.
- 对15只霍尔斯坦小牛的测序数据 (0.5至200万读数/样本) 进行了序列下载样本分析.
- 评估指标包括读数质量,基因表达和变异调用.
主要成果:
- 在所有评估指标上,Takara SMART-Seq v4 3'DE显著超过了Lexogen QuantSeq.
- 每个样本只读到800万次,就捕获了大量的基因表达变异,而超出这个深度的边际收益很小.
- 3'mRNA-Seq数据使得能够发现许多适合基因型归算的SNP和INDEL.
结论:
- 使用塔卡拉SMART-Seq v4 3'DE套件的3'mRNA-Seq是一种非常具有成本效益的方法 (<25美元/样本),用于量化分子表型,并使牛的基因型归算成为可能.
- 这种方法促进了大规模的分子表型化和牲畜种群的遗传改进.
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