Decrease in Transcriptomic Liberality during Batch Cultivation of Streptococcus salivarius ssp. thermophilus in Milk- A Comparative Observation with CHO Cells
DOI:
https://doi.org/10.51094/jxiv.1761キーワード:
Liberality抄録
Batch cultivation imposes physiological constraints on cells, often resulting in characteristic transcriptomic changes. In Chinese hamster ovary (CHO) cells, transcriptomic liberality, defined as the α-diversity of intracellular transcriptomes, has been shown to decrease during batch culture. To investigate whether this phenomenon also occurs in prokaryotes, we analyzed RNA-seq data from Streptococcus salivarius ssp. thermophilus cultured under standard milk fermentation conditions. Samples were collected at four phases of fermentation corresponding to distinct pH milestones (lag phase at 2 h, pH 6.0; mid-exponential at 5 h, pH 5.1; late-exponential at 7 h, pH 4.5; stabilization phase). Raw counts obtained from a published dataset were used to calculate liberality. We observed a progressive decrease in liberality across fermentation phases, consistent with previous findings in CHO cells. These results suggest that the decline in transcriptomic liberality represents a general feature of batch cultivation across both prokaryotic and eukaryotic systems.
利益相反に関する開示
The authors have no conflicts of interest directly relevant to the content of this article.ダウンロード *前日までの集計結果を表示します
引用文献
Martínez, O., & Reyes-Valdés, M. H. (2008). Defining diversity, specialization, and gene specificity in transcriptomes through information theory. Proceedings of the National Academy of Sciences of the United States of America, 105(28), 9709–9714. https://doi.org/10.1073/pnas.0803479105
Matsuda, T. (2021). Importance of experimental information (metadata) for archived sequence data: case of specific gene bias due to lag time between sample harvest and RNA protection in RNA sequencing. PeerJ, 9, e11875. https://doi.org/10.7717/peerj.11875
Ogata, N. (2022). Transcriptome dedifferentiation observed in animal primary cultures is essential to plant reprogramming. Journal of Bioinformatics and Systems Biology: Open Access, 5(4), 116–118. https://doi.org/10.26502/jbsb.5107039
Ogata, N., & Hosaka, A. (2022). Cellular liberality is measurable as Lempel-Ziv complexity of fastq files. 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), 321–326. https://doi.org/10.1109/bibe55377.2022.00072
Ogata, N., Kozaki, T., Yokoyama, T., Hata, T., & Iwabuchi, K. (2015). Comparison between the amount of environmental change and the amount of transcriptome change. PloS One, 10(12), e0144822. https://doi.org/10.1371/journal.pone.0144822
Wang, Y., Zhao, H., Zhang, H., Hou, B., Hung, W., He, J., Liang, C., Li, B., Man, C., Jiang, Y., Zhang, Y., & Guo, L. (2025). Metabolic and Transcriptomic-Based Characterization of Streptococcus salivarius ssp. thermophilus Snew Fermentation in Milk. Foods (Basel, Switzerland), 14(3). https://doi.org/10.3390/foods14030530
ダウンロード
公開済
投稿日時: 2025-10-17 12:05:14 UTC
公開日時: 2025-10-24 01:33:42 UTC
ライセンス
Copyright(c)2025
Norichika OGATA
この作品は、Creative Commons Attribution 4.0 International Licenseの下でライセンスされています。
