Three Co-expression Pattern Types across Microbial Transcriptional Networks of Plankton in Two Oceanic Waters

Ruby Sharma, Xuye Luo, Sajal Kumar, Mingzhou Song
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引用次数: 1

Abstract

Patterns of two molecules across biological systems are often labeled as conserved or differential. We argue that this classification is insufficient. Here, we introduce three types of relationships across systems. Upon stimuli, a type-0 pattern arises from conserved circuitry with active conserved trajectory; a type-1 pattern is conserved circuitry with active differential trajectory; a type-2 pattern is rewired circuitry with active trajectory. We present a 1st-order marginal change test, prove its optimality, and establish its asymptotic chi-squared distribution under the null hypothesis of identical marginals across conditions. The test outperformed other methods in detecting 1st-order difference in simulation studies. We also introduce a zeroth-order strength test to assess association of two variables across systems. We compared gene co-expression networks of planktonic microbial communities in cold California coastal water against the warm water of North Pacific Subtropical Gyre. The frequency of type-1 patterns is much higher than those of type-2 and type-0 patterns, revealing that the microbial communities are mostly conserved in molecular circuitry but responded differentially to ocean habitats. Type-1 and 2 patterns are enriched with genes known to respond to environmental changes or stress; type-0 patterns involve genes having essential function such as photosynthesis and general transcription. Our work provides a deep understanding to effects of the environment on gene regulation in microbial communities. The method is generally applicable to other biological systems. All tests are provided in the R package 'DiffXTables' at https://cran.r-project.org/package=DiffXTables. Other source code and lists of significant gene patterns are available at https://www.cs.nmsu.edu/~joemsong/ACM-BCB-2020/Plankton
两大洋浮游生物微生物转录网络中的三种共表达模式类型
生物系统中两种分子的模式通常被标记为保守或微分。我们认为这种分类是不充分的。在这里,我们将介绍三种跨系统的关系。在刺激下,0型模式由具有主动守恒轨迹的守恒电路产生;一类模式是带有主动微分轨迹的守恒电路;第二种模式是有活动轨迹的重新布线电路。给出了一个一阶边际变化检验,证明了它的最优性,并在相同边际的零假设下建立了它的渐近卡方分布。在模拟研究中,该方法在检测一阶差分方面优于其他方法。我们还引入了一个零阶强度测试来评估两个变量在系统中的关联。我们比较了寒冷的加利福尼亚沿海水域和温暖的北太平洋副热带环流中浮游微生物群落的基因共表达网络。1型模式的频率远高于2型和0型模式,表明微生物群落在分子电路中大多是保守的,但对海洋生境的响应存在差异。1型和2型模式富含对环境变化或压力作出反应的基因;0型模式涉及具有基本功能的基因,如光合作用和一般转录。我们的工作提供了对环境对微生物群落基因调控的影响的深刻理解。该方法一般适用于其他生物系统。所有测试都在R包“DiffXTables”中提供,地址为https://cran.r-project.org/package=DiffXTables。其他重要基因模式的源代码和列表可在https://www.cs.nmsu.edu/~joemsong/ACM-BCB-2020/Plankton上获得
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