Investigating the transcriptomic profile of plants under abiotic stress
Climate change is amplifying the frequency and intensity of abiotic stresses experienced by plants, posing significant risks to agriculture and ecosystems. Despite advancements made in understanding plant stress responses, there remains a gap in the global gene expression dataset examining abi...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175623 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Climate change is amplifying the frequency and intensity of abiotic stresses experienced
by plants, posing significant risks to agriculture and ecosystems. Despite advancements
made in understanding plant stress responses, there remains a gap in the global gene
expression dataset examining abiotic stress resistance mechanisms in Selaginella
moellendorffii and Klebsormidium nitens, both are rising model organisms for
evolutionary studies due to their positions in the evolutionary tree. This study
investigates the impact of seven abiotic stresses - heat, cold, light, darkness, salt,
mannitol, and nitrogen deficiency - on the phenotype of Selaginella moellendorffi to
identify optimal stress conditions. Additionally, we analysed the transcriptomic profile of
Klebsormidium nitens under these optimal stress conditions. Our findings revealed that
media stresses induced more pronounced growth reduction in Selaginella compared to
environmental stresses. Transcriptome data of Klebsormidium showed a significantly
higher number of differentially expressed genes in response to environmental stresses
compared to media stresses. Across biological processes, photosynthesis emerges as
the sole process affected by all abiotic stresses. The insights gained from this
transcriptomic analysis are instrumental in understanding plant stress resistance
mechanisms and can guide future research on the transcriptional coordination of genes
involved in stress response. |
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