"sleep traits" is a correct and usable phrase in written English
You can use it when discussing the qualities or characteristics of someone's sleep habits or patterns. For example, "His sleep traits were erratic and he often stayed up late."
Then, we question the adaptive value of sleep traits by using non-coding DNA as a metaphor that shows that the complexity in the design is not a definitive proof of adaptation.
Here, we demonstrate multilevel organizations of genetic landscape, candidate genes, and molecular networks associated with 328 stress and sleep traits in a chronically stressed population of 338 (C57BL/6J × A/J) F2 mice.
Age-matched (4 6.5 months old) male and female 5XFAD mice were monitored and compared to wild-type littermate controls for multiple sleep traits using a non-invasive, high throughput, automated piezoelectric system which detects breathing and gross body movements to characterize sleep and wake.
Means and standard deviations of the 20 sleep traits in the N2 population are presented in Supporting Information Table S1.
These factors clustered into five trait dimensions that represent state amount, sleep fragmentation, REM sleep traits, latency to REM or NREM sleep and relative EEG spectral power.
We wish to thank Erica Harris and Nikita Patel for their help with the database of sleep traits and logistic support, Chris Venditti and Chris Organ for their advice with the analysis in BayesTraits.
The 48-hr sleep recording period was partitioned into two 24-hr periods and further into a light and dark phase yielding four recording time domains per animal during which each sleep trait was computed (see Supporting Information for further details on the statistical methods).
We performed GWA analyses for the mean and environmental sensitivity of each sleep trait in the DGRP, and found many SNPs individually associated with each sleep trait, often with sex-specific effects.
Thus, only when a mutation or RNAi construct is sufficiently severe do we observe the effect on a correlated sleep trait.
We defined our threshold P-values for each sleep trait separately by calculating the false discovery rate (FDR) using the standard Benjamini-Hochberg procedure [ 68].
We computed genetic correlations between lines for the mean value and CV E of each sleep trait to assess the extent to which the same variants affect both the mean and environmental sensitivity.
