推进分子宏观植物生物多样性监测:基于牛津纳米孔和Illumina的元编码和元基因组学之间的比较
Karlijn Doorenspleet1, Amalia Aikaterini Mailli2, Berry B van der Hoorn3
1Marine Animal Ecology, Wageningen University and Research, Wageningen, Netherlands.
PeerJ
|April 18, 2025
概括
对于宏观植物生物多样性研究,DNA测序方法正在进步. 牛津纳米孔测序为Illumina MiSeq提供了一个可行的替代方案,用于监测,尽管数据库的完整性对于元基因组学至关重要.
科学领域:
- 海洋生物学 海洋生物学
- 分子生态学分子生态学
- 生物信息学是一种生物信息学.
背景情况:
- 基于DNA的方法对宏观植物生物多样性评估越来越重要.
- 监测测序技术的标准化实施正在接近.
- 评估这些DNA技术的可靠性至关重要.
研究的目的:
- 为了比较三种基于DNA的测序技术对生物多样性评估的有效性.
- 为了评估安普利康测序 (Illumina MiSeq,牛津纳米孔) 与猎枪测序 (Illumina NovaSeq).
- 评估这些方法对来自比利时北海的宏观植物样本的性能.
主要方法:
- 使用Illumina MiSeq.针对COI基因的安普利康测序.
- 使用牛津纳米孔进行便携式实时测序.
- 使用Illumina NovaSeq.进行枪测序.
- 阿尔法和贝塔多样性指标和社区组成的比较.
主要成果:
- 牛津纳米孔和MiSeqmetabarcoding在多样性和社区组成方面表现相似.
- NovaSeq的元基因组学产生了类似的α多样性,但社区结构略有不同.
- 特定位置的社区组成在所有平台上都是一致的.
- NovaSeq显示与形态丰富度的相关性最弱;不匹配突出了数据库的局限性.
结论:
- 牛津纳米孔元编码是一种可靠的替代Illumina MiSeq的生物多样性监测.
- 数据库的完整性对于准确的基于DNA的生物多样性评估至关重要,特别是对于元基因组学.
- 基于DNA的标准化监测需要仔细考虑测序平台和数据库质量.
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