Botany Department, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z4.
Philos Trans R Soc Lond B Biol Sci. 2019 Nov 25;374(1786):20190085. doi: 10.1098/rstb.2019.0085. Epub 2019 Oct 7.
Microbial eukaryotes (protists) are structurally, developmentally and behaviourally more complex than their prokaryotic cousins. This complexity makes it more difficult to translate genomic and metagenomic data into accurate functional inferences about systems ranging all the way from molecular and cellular levels to global ecological networks. This problem can be traced back to the advent of the cytoskeleton and endomembrane systems at the origin of eukaryotes, which endowed them with a range of complex structures and behaviours that still largely dominate how they evolve and interact within microbial communities. But unlike the diverse metabolic properties that evolved within prokaryotes, the structural and behavioural characteristics that strongly define how protists function in the environment cannot readily be inferred from genomic data, since there is generally no simple correlation between a gene and a discrete activity or function. A deeper understanding of protists at both cellular and ecological levels, therefore, requires not only high-throughput genomics but also linking such data to direct observations of natural history and cell biology. This is challenging since these observations typically require cultivation, which is lacking for most protists. Potential remedies with current technology include developing a more phylogenetically diverse range of model systems to better represent the diversity, as well as combining high-throughput, single-cell genomics with microscopic documentation of the subject cells to link sequence with structure and behaviour. This article is part of a discussion meeting issue 'Single cell ecology'.
微生物真核生物(原生生物)在结构、发育和行为上比它们的原核表亲更复杂。这种复杂性使得将基因组和宏基因组数据转化为关于从分子和细胞水平到全球生态网络的系统的准确功能推断更加困难。这个问题可以追溯到真核生物起源时细胞骨架和内膜系统的出现,这使它们具有一系列复杂的结构和行为,这些结构和行为在很大程度上仍然主导着它们在微生物群落中的进化和相互作用方式。但与原核生物中进化出的多样化代谢特性不同,强烈定义原生生物在环境中功能的结构和行为特征不能轻易从基因组数据中推断出来,因为基因与离散的活动或功能之间通常没有简单的相关性。因此,要在细胞和生态水平上更深入地了解原生生物,不仅需要高通量基因组学,还需要将这些数据与对自然历史和细胞生物学的直接观察联系起来。这是具有挑战性的,因为这些观察通常需要培养,而大多数原生生物都缺乏培养。当前技术的潜在补救措施包括开发更具系统发育多样性的模型系统,以更好地代表多样性,以及将高通量单细胞基因组学与对主体细胞的微观记录相结合,将序列与结构和行为联系起来。本文是“单细胞生态学”讨论会议的一部分。