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Transcriptome divergence during leaf development in two contrasting switchgrass (Panicum virgatum L.) cultivars
Nathan A Palmer1, R V Chowda-Reddy1, Anthony A Muhle2
1Wheat, Sorghum, and Forage Research Unit, USDA-ARS, Lincoln, Nebraska, United states of America.
Plos One
|September 13, 2019
Summary
Switchgrass cultivars
Area of Science:
- Plant genetics and molecular biology
- Agronomy and crop science
Background:
- Distinct genetic and stress response differences exist between switchgrass cultivars.
- Limited data available on basal transcriptional differences across switchgrass cultivar development.
- Switchgrass (Panicum virgatum L.) is a key biofuel crop with potential for trait improvement.
Purpose of the Study:
- To evaluate basal and temporal gene expression changes in leaf functions for two switchgrass cultivars.
- To identify cultivar-specific and cultivar-independent gene expression patterns.
- To explore the genetic basis for differential responses to biotic stressors.
Main Methods:
- Greenhouse cultivation of 'Kanlow' and 'Summer' switchgrass cultivars.
- Harvesting of the 4th leaf at regular intervals from emergence to senescence.
- Gene expression analysis using multidimensional scaling (MDS) and genomic resequencing.
- Measurement of leaf chlorophyll and nitrogen content.
Main Results:
- Leaf chlorophyll and nitrogen content changes were similar between cultivars.
- Both cultivar-independent (leaf function) and cultivar-specific gene expression were observed.
- Differentially expressed genes, including nucleotide-binding leucine rich repeat (NB-LRR) proteins and wall-bound kinases, were identified.
- Genomic analysis revealed potential absence or non-expression of NB-LRR genes in the 'Summer' cultivar.
Conclusions:
- Cultivar-specific genes and gene networks likely contribute to differential pathogen responses in switchgrass.
- Understanding these genetic differences can guide trait improvement for enhanced disease resistance.
- Improving pathogen resistance in switchgrass can increase biomass production sustainability under low-input conditions.
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