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Thermo-tolerant Tomato Growth

Rachel Blanding, Dr. Robert Reid, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223

Global warming is the rise of the earth’s temperature due to greenhouse gases and carbon dioxide emissions. If the carbon dioxide emission rate does not decrease then the global temperature will increase. As a result, the world will experience severe heatwaves and changes in precipitation patterns, which can negatively affect the production of produce. Up to one-half of all plants may become at risk of extinction if these global warming changes persist. One of the issues associated with global warming is the reproduction and survival of plants. If produce around the world is not able to survive and reproduce, then many animals and humans will not be able to obtain the nutrition they need. Many animals will die from starvation. This can result in a lowered fitness and changes in offspring. Many studies have focused on determining which DNA sequencing in at-risk plants will make them more tolerant to higher temperatures. Other studies focus on preventing and reversing the damage done due to climate change. This study focused on finding genes that are expressed in tomato plants that give them the ability to survive stress conditions like super-optimal temperatures. Tomato genes were extracted and analyzed for the ability to reproduce and survive in optimal and super-optimal temperatures. Pollen tube growth in the pistil was observed and then certain pathways were analyzed for changes in these conditions.  According to Yamamoto et al, the pollen development in tomatoes becomes flawed when exposed to higher than optimal temperatures. These temperatures then affect the protein structure of plants and lead to a decreased fertility rate (Yamamoto, Masaya, et al.,1979-1990). An increase in flavonoids occurs in relationship to super-optimal temperatures in tomato plants (Neeta, Mohan, et al., 2020). Software tools are used to create pathways and to predict how certain DNA sequencing will react.

 




Additional Abstract Information

Presenter: Rachel Blanding

Institution: University of North Carolina at Charlotte

Type: Poster

Subject: Biology

Status: Approved


Time and Location

Session: Poster 2
Date/Time: Mon 3:00pm-4:00pm
Session Number: 2638