Coolon Joseph D, Jones Kenneth L, Todd Timothy C, Carr Bryanua C, Herman Michael A
Ecological Genomics Institute, Kansas State University, Manhattan, KS, USA.
PLoS Genet. 2009 Jun;5(6):e1000503. doi: 10.1371/journal.pgen.1000503. Epub 2009 Jun 5.
With the post-genomic era came a dramatic increase in high-throughput technologies, of which transcriptional profiling by microarrays was one of the most popular. One application of this technology is to identify genes that are differentially expressed in response to different environmental conditions. These experiments are constructed under the assumption that the differentially expressed genes are functionally important in the environment where they are induced. However, whether differential expression is predictive of functional importance has yet to be tested. Here we have addressed this expectation by employing Caenorhabditis elegans as a model for the interaction of native soil nematode taxa and soil bacteria. Using transcriptional profiling, we identified candidate genes regulated in response to different bacteria isolated in association with grassland nematodes or from grassland soils. Many of the regulated candidate genes are predicted to affect metabolism and innate immunity suggesting similar genes could influence nematode community dynamics in natural systems. Using mutations that inactivate 21 of the identified genes, we showed that most contribute to lifespan and/or fitness in a given bacterial environment. Although these bacteria may not be natural food sources for C. elegans, we show that changes in food source, as can occur in environmental disturbance, can have a large effect on gene expression, with important consequences for fitness. Moreover, we used regression analysis to demonstrate that for many genes the degree of differential gene expression between two bacterial environments predicted the magnitude of the effect of the loss of gene function on life history traits in those environments.
随着后基因组时代的到来,高通量技术急剧增加,其中微阵列转录谱分析是最受欢迎的技术之一。该技术的一个应用是识别在不同环境条件下差异表达的基因。这些实验是在这样的假设下构建的:差异表达的基因在其被诱导的环境中具有重要的功能。然而,差异表达是否能预测功能重要性还有待检验。在这里,我们以秀丽隐杆线虫作为本地土壤线虫类群与土壤细菌相互作用的模型,来解决这个问题。通过转录谱分析,我们鉴定了与草地线虫相关或从草地土壤中分离出的不同细菌诱导下调控的候选基因。许多受调控的候选基因预计会影响新陈代谢和先天免疫,这表明类似的基因可能会影响自然系统中线虫群落的动态。通过使鉴定出的21个基因失活的突变,我们表明大多数基因在给定的细菌环境中对寿命和/或适应性有贡献。尽管这些细菌可能不是秀丽隐杆线虫的天然食物来源,但我们表明,环境干扰可能导致的食物来源变化会对基因表达产生很大影响,并对适应性产生重要影响。此外,我们使用回归分析证明,对于许多基因来说,两种细菌环境之间基因差异表达的程度预测了基因功能丧失对这些环境中生活史特征影响的大小。