Freedman Adam H, Sackton Timothy B
Faculty of Arts and Sciences Informatics Group, Harvard University, Cambridge, Massachusetts, USA.
Mol Ecol. 2025 Aug;34(15):e17378. doi: 10.1111/mec.17378. Epub 2024 May 9.
Recent advances in genomic technology, including the rapid development of long-read sequencing technology and single-cell RNA-sequencing methods, are poised to significantly expand the kinds of studies that are feasible in ecological genomics. In this perspective, we review these new technologies and discuss their potential impact on gene expression studies in non-model organisms. Although traditional RNA-sequencing methods have been an extraordinarily powerful tool to apply functional genomics in an ecological context, bulk RNA-seq approaches often rely on de novo transcriptome assembly, and cannot capture expression changes in rare cell populations or distinguish shifts in cell type abundance. Advancements in genome assembly technology, particularly long-read sequencing, and improvements in the scalability of single-cell RNA-sequencing (scRNA-seq) offer unprecedented resolution in understanding cellular heterogeneity and gene regulation. We discuss the potential of these technologies to enable disentangling differential gene regulation from cell type composition differences and uncovering subtle expression patterns masked by bulk RNA-seq. The integration of these approaches provides a more nuanced understanding of the ecological and evolutionary dynamics of gene expression, paving the way for refined models and deeper insights into the generation of biodiversity.
基因组技术的最新进展,包括长读长测序技术和单细胞RNA测序方法的迅速发展,有望显著扩展生态基因组学中可行的研究类型。从这个角度出发,我们回顾这些新技术,并讨论它们对非模式生物基因表达研究的潜在影响。尽管传统的RNA测序方法一直是在生态背景下应用功能基因组学的极其强大的工具,但批量RNA测序方法通常依赖于从头转录组组装,无法捕捉稀有细胞群体中的表达变化,也无法区分细胞类型丰度的变化。基因组组装技术的进步,特别是长读长测序,以及单细胞RNA测序(scRNA-seq)可扩展性的提高,为理解细胞异质性和基因调控提供了前所未有的分辨率。我们讨论了这些技术在区分细胞类型组成差异中的差异基因调控以及揭示被批量RNA测序掩盖的微妙表达模式方面的潜力。这些方法的整合为基因表达的生态和进化动态提供了更细致入微的理解,为完善模型和更深入洞察生物多样性的产生铺平了道路。