Adaptive evolution of gene expression in Drosophila melanogaster

描述（由申请人提供）：尽管基因调节和转录物加工在驱动细胞特化、组织特异性表达和形态发育中具有重要意义，但关于这些机制在适应性进化中的相对作用知之甚少.虽然全球基因表达的研究已成为人类疾病和健康研究的核心，但现有的统计工具不足以区分表达的适应性变化和中性遗传结构。顺式和反式调节是两种能够产生适应性变化的基因表达机制;这些机制中的每一种在驱动适应性变化中的意义尚不清楚。此外，选择性剪接被认为是mRNA转录多样性的主要贡献者，以前的工作表明，这种转录多样性包括异构体丰度的适应性变化以及显着的随机噪声成分的混合物。由于统计上的不足和异构体丰度变化的微妙性，这些变化传达适应功能的比例是未知的，难以估计。为了解决这些问题，我提出了详细的RNA-Seq检查的差异表达在果蝇反复适应冷应激。从非洲和欧洲收集的低海拔和高海拔（和纬度）种群之间的耐寒性遗传表型差异已经被确定，并且D.黑腹果蝇使其成为获得差异基因、等位基因和同种型表达的高分辨率测量的理想生物体。我将从在温暖和寒冷处理中饲养的冷适应和暖适应果蝇的多个发育组织中产生全局表达谱，鉴定差异表达的基因座和剪接异构体。我将开发一种新的统计方法，解释中性群体结构以及基因表达的高方差，以确定表达的功能变化。此外，我将量化等位基因特异性表达的F1果蝇之间的交叉冷和温暖的适应苍蝇，揭示了在两个跨调控背景的等位基因特异性表达的变化。从这些等位基因特异性的估计，我可以确定是否在父母的果蝇中确定的表达的适应性转变是顺式或反式调节变化的结果。此外，通过检查 表达在温暖和寒冷适应苍蝇在温暖（祖先）和寒冷（衍生）的治疗，我可以确定是否适应性变化的基因表达功能创造新的表达模式适应新的环境，或canalize祖先的表达模式在新的条件。这项工作可以为理解适应性进化如何操纵基因表达模式提供无与伦比的力量。结合全基因组序列数据，我可以将联合收割机转录组学和群体基因组学结合起来，以确定与基因和亚型表达的适应性变化相关的基因座和调控突变。

DESCRIPTION (provided by applicant): In spite of the significance of gene regulation and transcript processing in driving cellular specialization, tissue- specific expression, and morphological development, little is known concerning the relative role of these mechanisms in adaptive evolution. Although studies of global gene expression have become central to the study of human disease and health, the statistical tools available are not adequate in differentiating between adaptive changes in expression and those attributed to neutral genetic structure. Cis- and trans-regulation are two mechanisms capable of producing adaptive shifts in gene expression; the significance of each of these mechanisms in driving adaptive change is unclear. In addition, alternative splicing has been cited as a major contributor to mRNA transcript diversity, and previous work has suggested that this transcriptional diversity consists of a mixture of adaptive shifts in isoform abundance as well as a significant stochastic noise component. Due to statistical inadequacies and the subtlety of shifts in isoform abundance, the proportion of these changes conveying adaptive function is unknown and difficult to estimate. To address these issues, I propose detailed RNA-Seq examination of differential expression in Drosophila melanogaster following repeated adaptation to cold stress. Heritable phenotypic differences in cold tolerance between pairs of low- and high-altitude (and latitude) populations collected from Africa and Europe have already been identified and the range of genomic tools available for D. melanogaster make it the ideal organism to obtain high resolution measures of differential gene, allele, and isoform expression. I will generate global expression profiles from multiple developmental tissues in cold-adapted and warm-adapted flies raised in both warm and cold treatments, identifying differentially expressed loci and splicing isoforms. I will develop a novel statistical approach that accounts for neutral population structure as well as the high variance in gene expression to identify functional changes in expression. In addition, I will quantify allele-specific expression in F1 flies from crosses between cold- and warm-adapted flies, revealing shifts in allele-specific expression in both trans- regulatory backgrounds. From these allele-specific estimates, I can determine whether the adaptive shifts in expression identified in parental flies are the result of cis- or trans-regulatory changes. Also, by examining expression in both warm- and cold-adapted flies in warm (ancestral) and cold (derived) treatments, I can identify whether adaptive changes in gene expression function create novel expression patterns adaptive in the new environment, or canalize the ancestral expression pattern in the novel conditions. The proposed work can provide unparalleled power in understanding how adaptive evolution manipulates patterns of gene expression. In conjunction with whole genome sequence data, I can combine transcriptomics and population genomics to identify loci and regulatory mutations associated with adaptive changes in gene and isoform expression.