Population dynamics of C. elegans and C. briggsae dormancy mutants

Dormancy allows organisms to survive hostile conditions and is hypothesized to enable species to coexist in fluctuating environments. Although determining how species avoid extinction is critical to understanding the dynamics of natural populations, experimental work exploring if and when dormancy rescues populations from extinction remains rare. We conducted an experiment, where we grew two species of nematode at three temperatures. Strains of Caenorhabditis elegans had mutations altering their propensity to enter a dormant stage and Caenorhabditis briggsae was a single strain with a wildtype background. We used those empirical results to parameterize a model and simulate competitive outcomes in fluctuating environments between the two species. We show that upregulating the dormancy pathway rescues populations that would otherwise go extinct, thereby increasing coexistence between competing species. By leveraging the genetic tools available from a model system, this study provides expe..., , , # Dormancy promotes coexistence in fluctuating environments

**Description of the data and file structure**

This R project “Worm_Coexistence_Oikos.R.proj” contains the data and and bespoke functions written. 

## **Files list (files found within Worm\_Coexistence\_Oikos.zip)**

CoexistenceSimulation_v6.0_Functions1.R

CoexistenceSimulation_v6.0_Functions2.R

analysisUtilityFunctions_v6.0.R

master_data.csv

parameters.csv

monocultureCoexistResults.tsv

## **Description**

CoexistenceSimulation_v6.0_Functions1.R – Functions required to run simulation

CoexistenceSimulation_v6.0_Functions2.R – Functions required to run simulation

analysisUtilityFunctions_v6.0.R– Utility functions for analysing the simulation data

Figure_1_Experimental_Results.R– This file generates Figure 1

Figure_3_Population_Dynamics_Plots– This file generates Figure 3

Figure_4_StackedBar&Euler– This file generates Figure 4  

Figure_S3_Comparing_ConspvsHeterosp_Params– This file generates Supplementary Figure...

滞育（dormancy）能够帮助生物体在恶劣环境中存活，且有假说指出其可促进物种在波动环境中共存。尽管明确物种如何避免灭绝对于理解自然种群动态至关重要，但探索滞育能否以及何时拯救种群免于灭绝的实验研究仍较为匮乏。我们开展了一项实验，在三种温度下培养两种线虫：秀丽隐杆线虫（Caenorhabditis elegans）的菌株带有可改变其进入滞育阶段倾向的突变，而布氏隐杆线虫（Caenorhabditis briggsae）则为单一野生型背景菌株。我们利用上述实验结果为模型进行参数化，并模拟了两种群落在波动环境中的竞争结局。研究表明，上调滞育通路可拯救本会灭绝的种群，从而提升竞争物种间的共存能力。本研究借助模式生物系统可获取的遗传工具，为……

# 滞育促进波动环境中的物种共存

## 数据与文件结构说明
本R项目"Worm_Coexistence_Oikos.R.proj"包含了实验数据与自定义编写的功能函数。

### 文件清单（Worm_Coexistence_Oikos.zip 压缩包内的文件）
CoexistenceSimulation_v6.0_Functions1.R
CoexistenceSimulation_v6.0_Functions2.R
analysisUtilityFunctions_v6.0.R
master_data.csv
parameters.csv
monocultureCoexistResults.tsv

### 文件说明
CoexistenceSimulation_v6.0_Functions1.R – 用于运行模拟的必需功能函数
CoexistenceSimulation_v6.0_Functions2.R – 用于运行模拟的必需功能函数
analysisUtilityFunctions_v6.0.R – 用于分析模拟数据的实用功能函数
Figure_1_Experimental_Results.R – 用于生成图1的脚本
Figure_3_Population_Dynamics_Plots – 用于生成图3的脚本
Figure_4_StackedBar&Euler – 用于生成图4的脚本
Figure_S3_Comparing_ConspvsHeterosp_Params – 用于生成补充图的脚本