From 1c7fb013bc09483442c4a06acea763abffcb06c6 Mon Sep 17 00:00:00 2001
From: Devyani Ravi <devyaniravi2003@gmail.com>
Date: Sat, 28 Sep 2024 21:51:28 +0000
Subject: [PATCH] fix text
---
docs/.vuepress/components/IterativeCycle.vue | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/docs/.vuepress/components/IterativeCycle.vue b/docs/.vuepress/components/IterativeCycle.vue
index 94ce017..38e56ea 100644
--- a/docs/.vuepress/components/IterativeCycle.vue
+++ b/docs/.vuepress/components/IterativeCycle.vue
@@ -116,9 +116,7 @@ export default {
{
title: 'Cycle 1: Data Analysis',
phases: [
- { title: 'Design', description: <p>Our objective is to utilise GenomeSPOT to compare the computationally predicted optimal growth conditions with experimentally determined conditions for both the native and genetically modified strain of <em>Vibrio natriegens</em> after integration of the construct into the genome. First, it is necessary to obtain complete genome sequences for both of the strains. These will serve as input data for the GenomeSPOT package and will be processed to generate predictions for key factors affecting bacterial growth, such as temperature, salinity, pH, and oxygen levels. This computational model is based on well-studied correlations between amino acid frequencies and growth factors (e.g., tryptophan frequency and positive correlation with oxygen tolerance associated with it) (Barnum et al., 2024).</p>
-
- <p>After simulating the optimal conditions, we will conduct laboratory experiments to test both strains under various conditions and determine if the experimental results match the predictions. The growth of both bacterial strains will be monitored under conditions provided by GenomeSPOT by measuring optical density (OD600) at regular intervals. In addition, the strains will be subjected to various alternative conditions to determine those that result in most optimal growth rates. Any discrepancies between the experimental and computationally predicted results will be carefully examined. This analysis will allow us to understand if the modified <em>Vibrio natriegens</em> has distinct requirements for optimal growth compared to the native strain. Furthermore, it will allow for an assessment of the accuracy of GenomeSPOT in predicting optimal growth conditions for engineered microbial strains.</p> },
+ { title: 'Design', description: 'Our objective is to utilise GenomeSPOT to compare the computationally predicted optimal growth conditions with experimentally determined conditions for both the native and genetically modified strain of <em>Vibrio natriegens</em> after integration of the construct into the genome. First, it is necessary to obtain complete genome sequences for both of the strains. These will serve as input data for the GenomeSPOT package and will be processed to generate predictions for key factors affecting bacterial growth, such as temperature, salinity, pH, and oxygen levels. This computational model is based on well-studied correlations between amino acid frequencies and growth factors (e.g., tryptophan frequency and positive correlation with oxygen tolerance associated with it) (Barnum et al., 2024). After simulating the optimal conditions, we will conduct laboratory experiments to test both strains under various conditions and determine if the experimental results match the predictions. The growth of both bacterial strains will be monitored under conditions provided by GenomeSPOT by measuring optical density (OD600) at regular intervals. In addition, the strains will be subjected to various alternative conditions to determine those that result in most optimal growth rates. Any discrepancies between the experimental and computationally predicted results will be carefully examined. This analysis will allow us to understand if the modified V. natriegens has distinct requirements for optimal growth compared to the native strain. Furthermore, it will allow for an assessment of the accuracy of GenomeSPOT in predicting optimal growth conditions for engineered microbial strains. ' },
]
},
]
--
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