光诱导香菇菌丝转色阶段的转录因子表达分析

转录因子在真菌环境响应及生理过程中发挥重要的调节作用。本文利用转录组测序（RNA-Seq）技术研究光诱导香菇菌丝转色过程中的转录因子表达变化。转录组测序结果表明,在光照条件下转色的菌丝（313C）与黑暗条件下未转色的菌丝（313W）相比,香菇菌丝中共有68个转录因子基因表达发生变化（48个转录因子上调表达,20个转录因子下调表达）;转色的菌丝（313C）与初始未转色的菌丝（118）相比,香菇菌丝中有80个转录因子基因表达发生变化（49个转录因子上调表达,31个转录因子下调表达）。这些差异表达的转录因子包括WD40、MADS-box、MYB和GATA等家族。另外,样品的两两比较中差异表达的转录因子既存在部分重叠,也表现特异性。其中,313C/313W中有14个特异性差异表达转录因子,313C/118中有26个特异差异表达的转录因子。重叠的转录因子有64个,其中有39个表达水平上调,15个表达水平下调。采用实时荧光定量PCR对几个转录因子进行了表达检测,其中部分转录因子的表达趋势与转录组分析基本相同。这些数据为进一步研究香菇转色的转录调控奠定了一定的基础。     

A method to determine rates and patterns of variability in ecological communities

It is well known that ecological communities are spatially and temporally dynamic. Quantifying temporal variability in ecological communities is challenging, however, especially for time-series data sets of less than 40 measurement intervals. In this paper, we describe a method to quantify temporal variability in multispecies communities over time frames of 10–40 measurement intervals. Our approach is a community-level extension of autocorrelation analysis, but we use Euclidean distance to measure similarity of community samples at increasing time lags rather than the correlation coefficient. Regressing Euclidean distances versus increasing time lags yields a measure of the rate and nature of community change over time. We demonstrate the method with empirical data sets from shortgrass steppe, old-field succession and zooplankton dynamics in lakes, and we investigate properties of the analysis using simulation models. Results indicate that time-lag analysis provides a useful quantitative measurement of the rate and pattern of temporal dynamics in communities over time frames that are too short for more traditional autocorrelation approaches.