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将核糖体(r)DNA和rRNA拷贝数与细胞大小和生长速率相联系的单细胞分析为原生生物分子生态学提供了见解。

Single Cell Analysis Linking Ribosomal (r)DNA and rRNA Copy Numbers to Cell Size and Growth Rate Provides Insights into Molecular Protistan Ecology.

作者信息

Fu Rao, Gong Jun

机构信息

Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

J Eukaryot Microbiol. 2017 Nov;64(6):885-896. doi: 10.1111/jeu.12425. Epub 2017 Jun 9.

DOI:10.1111/jeu.12425
PMID:28499076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5697653/
Abstract

Ribosomal (r)RNA and rDNA have been golden molecular markers in microbial ecology. However, it remains poorly understood how ribotype copy number (CN)-based characteristics are linked with diversity, abundance, and activity of protist populations and communities observed at organismal levels. Here, we applied a single-cell approach to quantify ribotype CNs in two ciliate species reared at different temperatures. We found that in actively growing cells, the per-cell rDNA and rRNA CNs scaled with cell volume (CV) to 0.44 and 0.58 powers, respectively. The modeled rDNA and rRNA concentrations thus appear to be much higher in smaller than in larger cells. The observed rRNA:rDNA ratio scaled with CV . The maximum growth rate could be well predicted by a combination of per-cell ribotype CN and temperature. Our empirical data and modeling on single-cell ribotype scaling are in agreement with both the metabolic theory of ecology and the growth rate hypothesis, providing a quantitative framework for linking cellular rDNA and rRNA CNs with body size, growth (activity), and biomass stoichiometry. This study also demonstrates that the expression rate of rRNA genes is constrained by cell size, and favors biomass rather than abundance-based interpretation of quantitative ribotype data in population and community ecology of protists.

摘要

核糖体(r)RNA和rDNA一直是微生物生态学中的黄金分子标记。然而,基于核糖体类型拷贝数(CN)的特征如何与在生物体水平上观察到的原生生物种群和群落的多样性、丰度及活性相关联,目前仍知之甚少。在此,我们采用单细胞方法对在不同温度下培养的两种纤毛虫的核糖体类型CN进行了量化。我们发现,在活跃生长的细胞中,每个细胞的rDNA和rRNA CN分别与细胞体积(CV)按0.44和0.58的幂次比例缩放。因此,较小细胞中模拟的rDNA和rRNA浓度似乎比较大细胞中的高得多。观察到的rRNA:rDNA比例与CV成比例缩放。通过每个细胞的核糖体类型CN和温度的组合可以很好地预测最大生长速率。我们关于单细胞核糖体类型缩放的实证数据和模型与生态代谢理论及生长速率假说均相符,为将细胞rDNA和rRNA CN与体型大小、生长(活性)及生物量化学计量联系起来提供了一个定量框架。这项研究还表明,rRNA基因的表达速率受细胞大小的限制,并且在原生生物种群和群落生态学中,倾向于基于生物量而非丰度来解释定量核糖体类型数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/3a3acaf5895c/JEU-64-885-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/0c7a625077ac/JEU-64-885-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/22dfe0c5340f/JEU-64-885-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/7904321849c3/JEU-64-885-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/3722551c1f9f/JEU-64-885-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/1aca212dd29a/JEU-64-885-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/3a3acaf5895c/JEU-64-885-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/0c7a625077ac/JEU-64-885-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/22dfe0c5340f/JEU-64-885-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/7904321849c3/JEU-64-885-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/3722551c1f9f/JEU-64-885-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/1aca212dd29a/JEU-64-885-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc3f/5697653/3a3acaf5895c/JEU-64-885-g006.jpg

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