Species-wide survey of the expressivity and complexity spectrum of traits in yeast.
Species-wide survey of the expressivity and complexity spectrum of traits in yeast.
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DOI：
10.1371/journal.pgen.1011119
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发表时间：
2024-01
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影响因子：
4.5
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中科院分区：
文献类型：
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在物种水平上评估性状的复杂性和表现力是更好地剖析基因型-表型关系的重要第一步。由于性状复杂性是动态的，单基因性状和复杂性状之间的经典二分法过于简单化。然而，迄今为止，还没有在人口规模上对这种复杂性谱进行系统评估。在这种情况下，我们产生了一个大的双列杂交面板组成的190个独特的杂交来自20个自然分离物的代表S。酿酒酵母遗传多样性对于这些杂种中的每一个，获得了160个个体的大后代，导致总共30，400个后代个体。在38种诱导各种细胞应激的条件下评价其有丝分裂生长。我们开发了一个分类算法来分析后代的表型分布和评估性状的复杂性。我们清楚地发现，性状主要是复杂的群体水平。平均而言，我们发现91.2%的杂交/性状组合表现出高度的复杂性，而单基因和寡基因的情况下，仅占4.1%和4.7%，分别。然而，复杂性谱是非常动态的，性状特异性和密切相关的遗传背景。总的来说，我们的研究提供了更深入的了解性状的复杂性以及其在自然种群中的谱的潜在遗传基础。剖析自然表型变异的遗传起源是生物学的一个主要目标。1865年，孟德尔建立了描述遗传特征传递的遗传学原理。然而，我们仍然缺乏一个精确的视图的频谱和连续的性状复杂性在自然群体。在这种情况下，我们进行了一项研究的复杂性的特点，在一个大的人口的分离使用酵母酿酒酵母。我们分析了分布和遗传的后代的模式广泛的diabetes面板和在大量的环境。我们发现，平均91.2%的性状是复杂的，而只有4.1%和4.7%是单基因和寡基因，分别。然而，同样清楚的是，复杂性谱取决于遗传背景和环境。有趣的是，我们已经强调并剖析了表现出广泛复杂性谱的病例的遗传基础，例如在硫酸铜以及半乳糖作为碳源的情况下。
Assessing the complexity and expressivity of traits at the species level is an essential first step to better dissect the genotype-phenotype relationship. As trait complexity behaves dynamically, the classic dichotomy between monogenic and complex traits is too simplistic. However, no systematic assessment of this complexity spectrum has been carried out on a population scale to date. In this context, we generated a large diallel hybrid panel composed of 190 unique hybrids coming from 20 natural isolates representative of the S. cerevisiae genetic diversity. For each of these hybrids, a large progeny of 160 individuals was obtained, leading to a total of 30,400 offspring individuals. Their mitotic growth was evaluated on 38 conditions inducing various cellular stresses. We developed a classification algorithm to analyze the phenotypic distributions of offspring and assess the trait complexity. We clearly found that traits are mainly complex at the population level. On average, we found that 91.2% of cross/trait combinations exhibit high complexity, while monogenic and oligogenic cases accounted for only 4.1% and 4.7%, respectively. However, the complexity spectrum is very dynamic, trait specific and tightly related to genetic backgrounds. Overall, our study provided greater insight into trait complexity as well as the underlying genetic basis of its spectrum in a natural population. Dissecting the genetic origins of natural phenotypic variation is a major goal in biology. In 1865, Gregor Mendel established principles of inheritance that described the transmission of genetic traits. However, we still lack a precise view of the spectrum and continuum of trait complexity in natural population. In this context, we carried out a study of the complexity of traits in a large population of isolates using the yeast Saccharomyces cerevisiae. We analyzed patterns of distribution and inheritance of offspring of a wide diallel panel and in a large number of environments. We found that on average 91.2% of the traits are complex, while only 4.1% and 4.7% are monogenic and oligogenic, respectively. However, it is also clear that the complexity spectrum depends on genetic background and environment. Interestingly, we have highlighted and dissected the genetic basis of cases showing a broad complexity spectrum, such as in the presence of copper sulfate as well as galactose as a carbon source.
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影响因子：
7
作者：
Lee, Tracy Jiaye;Liu, Yu-Ching;Liu, Wei-An;Lin, Yu-Fei;Lee, Hsin-Han;Ke, Huei-Mien;Huang, Jen-Pan;Lu, Mei-Yeh Jade;Hsieh, Chia-Lun;Chung, Kuo-Fang;Liti, Gianni;Tsai, Isheng Jason
通讯作者：
Tsai, Isheng Jason
DOI：
10.1073/pnas.1820915116
发表时间：
2019-03-12
影响因子：
11.1
作者：
Hou, Jing;Tan, Guihong;Boone, Charles
通讯作者：
Boone, Charles
影响因子：
56.9
作者：
Blomen, Vincent A.;Majek, Peter;Brummelkamp, Thijn R.
通讯作者：
Brummelkamp, Thijn R.
影响因子：
9.9
作者：
Galardini, Marco;Busby, Bede P.;Beltrao, Pedro
通讯作者：
Beltrao, Pedro
影响因子：
16.6
作者：
Hou, Jing;Friedrich, Anne;Gounot, Jean-Sebastien;Schacherer, Joseph
通讯作者：
Schacherer, Joseph