Study on the dynamic position of nucleosome in different attribute genes under environmental pressure

Inhalt:
The eukaryotic nucleosome positioning is dynamic in environmental changes, and their moving patterns on different transcription level genes are varied. We divided the yeast nucleosome occupancy data into different groups by the transcription level of genes. Based on the least squares fitting(LSF) algorithm, we calculated the dyad of nucleosome positions around TSS before and after heat shock. According to the gene attributes, we use the local regulatory correlation (LRC) algorithm to explore the movement tendency of nucleosomes. Firstly, we observed that the movement pattern of nucleosomes on sensitive-up expression genes is divergent under pressure conditions. However, the movement pattern of nucleosomes on high transcription level of sensitive-up expression genes is convergent and tending to get closer to TSS. Secondly, the movement pattern of sensitive-down expression genes is also divergent. Compared to the sensitive-down expression genes, the nucleosomes on low transcription level of sensitive-down expression tended to significantly get away from TSS. After heat shock, nucleosomes of non-sensitive expression genes are almost stable. In addition,~ 80% of nucleosomes located on high transcription level of non-sensitive expression genes tended to get away from TSS.