Bell Avery Davis, Chou Han Ting, Paaby Annalise B
School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
bioRxiv. 2023 Mar 25:2023.03.24.533964. doi: 10.1101/2023.03.24.533964.
A universal feature of living systems is that natural variation in genotype underpins variation in phenotype. Yet, research in model organisms is often constrained to a single genetic background, the reference strain. Further, genomic studies that do evaluate wild strains typically rely on the reference strain genome for read alignment, leading to the possibility of biased inferences based on incomplete or inaccurate mapping; the extent of reference bias can be difficult to quantify. As an intermediary between genome and organismal traits, gene expression is well positioned to describe natural variability across genotypes generally and in the context of environmental responses, which can represent complex adaptive phenotypes. sits at the forefront of investigation into small-RNA gene regulatory mechanisms, or RNA interference (RNAi), and wild strains exhibit natural variation in RNAi competency following environmental triggers. Here, we examine how genetic differences among five wild strains affect the transcriptome in general and after inducing RNAi responses to two germline target genes. Approximately 34% of genes were differentially expressed across strains; 411 genes were not expressed at all in at least one strain despite robust expression in others, including 49 genes not expressed in reference strain N2. Despite the presence of hyper-diverse hotspots throughout the genome, reference mapping bias was of limited concern: over 92% of variably expressed genes were robust to mapping issues. Overall, the transcriptional response to RNAi was strongly strain-specific and highly specific to the target gene, and the laboratory strain N2 was not representative of the other strains. Moreover, the transcriptional response to RNAi was not correlated with RNAi phenotypic penetrance; the two germline RNAi incompetent strains exhibited substantial differential gene expression following RNAi treatment, indicating an RNAi response despite failure to reduce expression of the target gene. We conclude that gene expression, both generally and in response to RNAi, differs across strains such that choice of strain may meaningfully influence scientific conclusions. To provide a public, easily accessible resource for querying gene expression variation in this dataset, we introduce an interactive website at https://wildworm.biosci.gatech.edu/rnai/ .
生命系统的一个普遍特征是基因型的自然变异是表型变异的基础。然而,模式生物的研究通常局限于单一的遗传背景,即参考菌株。此外,那些评估野生菌株的基因组研究通常依赖参考菌株的基因组进行 reads 比对,这就导致了基于不完整或不准确映射而产生有偏差推断的可能性;参考偏差的程度可能难以量化。作为基因组与生物体性状之间的中介,基因表达能够很好地描述一般基因型之间以及在环境反应背景下的自然变异性,而环境反应可以代表复杂的适应性表型。在小 RNA 基因调控机制(即 RNA 干扰,RNAi)的研究中处于前沿地位,并且野生菌株在环境触发后 RNAi 能力表现出自然变异。在这里,我们研究了五个野生菌株之间的遗传差异如何总体上影响转录组,以及在诱导针对两个生殖系靶基因的 RNAi 反应后如何影响转录组。大约 34% 的基因在不同菌株间存在差异表达;411 个基因在至少一个菌株中完全不表达,尽管在其他菌株中表达强劲,其中包括 49 个在参考菌株 N2 中不表达但在其他菌株中表达的基因。尽管在整个基因组中存在高度多样的热点区域,但参考映射偏差问题不大:超过 92% 的可变表达基因不受映射问题的影响。总体而言,对 RNAi 的转录反应具有很强的菌株特异性,并且对靶基因具有高度特异性,实验室菌株 N2 不能代表其他菌株。此外,对 RNAi 的转录反应与 RNAi 表型外显率不相关;两个生殖系 RNAi 无能力的菌株在 RNAi 处理后表现出大量的差异基因表达,这表明尽管未能降低靶基因的表达,但仍存在 RNAi 反应。我们得出结论,无论是一般情况下还是对 RNAi 的反应,不同菌株间的基因表达都存在差异,因此菌株的选择可能会对科学结论产生重大影响。为了提供一个公开的、易于访问的资源来查询该数据集中的基因表达变异,我们在 https://wildworm.biosci.gatech.edu/rnai/ 上推出了一个交互式网站。