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New Connections across Pathways and Cellular Processes: Industrialized Mutant Screening Reveals Novel Associations between Diverse Phenotypes in Arabidopsis

机译:跨途径和细胞过程的新联系:工业化的突变体筛选揭示了拟南芥中不同表型之间的新型关联。

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摘要

In traditional mutant screening approaches, genetic variants are tested for one or a small number of phenotypes. Once bona fide variants are identified, they are typically subjected to a limited number of secondary phenotypic screens. Although this approach is excellent at finding genes involved in specific biological processes, the lack of wide and systematic interrogation of phenotype limits the ability to detect broader syndromes and connections between genes and phenotypes. It could also prevent detection of the primary phenotype of a mutant. As part of a systems biology approach to understand plastid function, large numbers of Arabidopsis thaliana homozygous T-DNA lines are being screened with parallel morphological, physiological, and chemical phenotypic assays (). To refine our approaches and validate the use of this high-throughput screening approach for understanding gene function and functional networks, approximately 100 wild-type plants and 13 known mutants representing a variety of phenotypes were analyzed by a broad range of assays including metabolite profiling, morphological analysis, and chlorophyll fluorescence kinetics. Data analysis using a variety of statistical approaches showed that such industrial approaches can reliably identify plant mutant phenotypes. More significantly, the study uncovered previously unreported phenotypes for these well-characterized mutants and unexpected associations between different physiological processes, demonstrating that this approach has strong advantages over traditional mutant screening approaches. Analysis of wild-type plants revealed hundreds of statistically robust phenotypic correlations, including metabolites that are not known to share direct biosynthetic origins, raising the possibility that these metabolic pathways have closer relationships than is commonly suspected.
机译:在传统的突变体筛选方法中,测试遗传变异体的一种或少量表型。一旦确定了善意的变体,通常会对它们进行有限数量的次级表型筛选。尽管这种方法在发现涉及特定生物学过程的基因方面非常出色,但缺乏对表型的广泛而系统的询问限制了检测更广泛的综合症以及基因与表型之间联系的能力。它还可能会阻止检测突变体的主要表型。作为了解质体功能的系统生物学方法的一部分,正在使用平行的形态,生理和化学表型分析方法筛选大量拟南芥纯合T-DNA株系()。为了完善我们的方法并验证使用这种高通量筛选方法来理解基因功能和功能网络,我们通过包括代谢物谱分析在内的多种分析方法对大约100种野生型植物和13种代表各种表型的已知突变体进行了分析,形态分析和叶绿素荧光动力学。使用多种统计方法进行的数据分析表明,这种工业方法可以可靠地鉴定植物突变表型。更重要的是,该研究发现了这些特性良好的突变体以前未报告的表型以及不同生理过程之间的意外关联,表明该方法比传统的突变体筛选方法具有强大的优势。对野生型植物的分析揭示了数百种统计上强大的表型相关性,其中包括尚不知道具有直接生物合成起源的代谢产物,这增加了这些代谢途径与通常所怀疑的联系更紧密的可能性。

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