# Statistical analysis supports the size control mechanism of Chlamydia development

**Authors:** Jinsu Kim, Christine Sütterlin, Ming Tan, German Enciso

PMC · DOI: 10.1371/journal.pcbi.1013227 · PLOS Computational Biology · 2025-07-14

## TL;DR

This study uses statistical analysis to support the idea that Chlamydia bacteria switch forms based on their size, not external signals.

## Contribution

The paper provides statistical evidence supporting a size-based mechanism for Chlamydia's developmental switch.

## Key findings

- The size control model accurately reproduces key statistical properties of Chlamydia's developmental cycle.
- A positive correlation between RB and EB numbers supports an internal size-based mechanism.
- The coefficient of variation of EB numbers evolves monotonically, consistent with size control.

## Abstract

Chlamydia is an intracellular bacterium that reproduces via an unusual developmental cycle that only occurs within a eukaryotic host cell. A replicating form of the bacterium (RB) repeatedly divides to produce about a thousand progeny, which convert in a delayed and asynchronous manner into the infectious form (EB). The regulatory mechanisms that control this developmental switch are unknown, but they could potentially include extrinsic signals from the host cell or other chlamydiae, or an intrinsic signal such as chlamydial cell size. In this paper, we investigated the regulation of RB-to-EB conversion by developing and analyzing three mathematical models, each based on a different regulatory mechanism. To test these models, we derived statistical evidence from parameters, including number, size and location of RBs and EBs, obtained from experimental measurements and model fitting. All three models successfully reproduced the experimentally measured timing of RB-to-EB conversion and growth curves of the developmental forms in an infected cell. However, only the size control model, which postulates that RB size is an intrinsic signal that regulates the timing of RB-to-EB conversion, reproduced two additional statistical properties of the intracellular infection. These properties are a positive correlation between the number of RBs and EBs throughout the developmental cycle and the monotonic evolution of the coefficient of variation of EB number. This analysis thus provides support for the size control model.

Chlamydia trachomatis is a bacterium that infects mammalian cells and reproduces inside them before invading other cells. Before it can leave its mammalian host cell, it must first convert into a spore-like form called elementary body (EB), which is able to survive outside the host but cannot reproduce. Conversion into this form is a crucial cell fate decision for Chlamydia, and in this work we aim to compare different possible mechanisms that might regulate and drive this decision. Specifically, we use a statistical analysis of the timing of conversion, to rule out a broad series of possible mechanisms. We argue that any mechanism that has an external input for conversion will tend to feature a negative correlation between unconverted and converted Chlamydia forms. However, the experimental data indicates a positive correlation between the forms. We conclude that a mechanism internal to each chlamydia is more likely at work. This supports a so-called size control mechanism, where Chlamydia converts once it reaches a sufficiently small size after multiple divisions. An additional analysis of the noise in the number of EB forms for each inclusion further supports this conclusion.

## Linked entities

- **Species:** Chlamydia trachomatis (taxon 813)

## Full-text entities

- **Diseases:** infected (MESH:D007239)
- **Chemicals:** RB (MESH:D012413), EB (MESH:C478160)
- **Species:** Chlamydia (genus) [taxon 810]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12279117/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12279117/full.md

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Source: https://tomesphere.com/paper/PMC12279117