Centre for Interdisciplinay Archaeological Research, Ashoka University, Sonipat, Haryana, 131029, India.
Department of Biology, Ashoka University, Sonipat, Haryana, 131029, India.
J Mol Evol. 2023 Aug;91(4):391-404. doi: 10.1007/s00239-023-10107-2. Epub 2023 May 8.
The advent of next generation sequencing technologies (NGS) has greatly accelerated our understanding of critical aspects of organismal biology from non-model organisms. Bats form a particularly interesting group in this regard, as genomic data have helped unearth a vast spectrum of idiosyncrasies in bat genomes associated with bat biology, physiology, and evolution. Bats are important bioindicators and are keystone species to many eco-systems. They often live in proximity to humans and are frequently associated with emerging infectious diseases, including the COVID-19 pandemic. Nearly four dozen bat genomes have been published to date, ranging from drafts to chromosomal level assemblies. Genomic investigations in bats have also become critical towards our understanding of disease biology and host-pathogen coevolution. In addition to whole genome sequencing, low coverage genomic data like reduced representation libraries, resequencing data, etc. have contributed significantly towards our understanding of the evolution of natural populations, and their responses to climatic and anthropogenic perturbations. In this review, we discuss how genomic data have enhanced our understanding of physiological adaptations in bats (particularly related to ageing, immunity, diet, etc.), pathogen discovery, and host pathogen co-evolution. In comparison, the application of NGS towards population genomics, conservation, biodiversity assessment, and functional genomics has been appreciably slower. We reviewed the current areas of focus, identifying emerging topical research directions and providing a roadmap for future genomic studies in bats.
下一代测序技术(NGS)的出现极大地加速了我们对非模式生物的生物机体生物学的关键方面的理解。在这方面,蝙蝠是一个特别有趣的群体,因为基因组数据揭示了与蝙蝠生物学、生理学和进化相关的蝙蝠基因组的广泛特征。蝙蝠是重要的生物指标,也是许多生态系统的关键物种。它们经常生活在人类附近,经常与新发传染病有关,包括 COVID-19 大流行。迄今为止,已经发表了近 40 种蝙蝠基因组,范围从草图到染色体水平的组装。蝙蝠的基因组研究也对我们理解疾病生物学和宿主-病原体共同进化至关重要。除了全基因组测序,低覆盖度的基因组数据,如简化基因组文库、重测序数据等,也极大地促进了我们对自然种群进化及其对气候和人为干扰的响应的理解。在这篇综述中,我们讨论了基因组数据如何增强我们对蝙蝠生理适应(特别是与衰老、免疫、饮食等相关)、病原体发现和宿主-病原体共同进化的理解。相比之下,NGS 在种群基因组学、保护、生物多样性评估和功能基因组学方面的应用要慢得多。我们回顾了当前的关注领域,确定了新兴的研究方向,并为未来的蝙蝠基因组研究提供了路线图。