1. The reference genome and abiotic stress responses of the model perennial grass Brachypodium sylvaticum
- Author
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Lei, Li, Gordon, Sean P, Liu, Lifeng, Sade, Nir, Lovell, John T, Del Mar Rubio Wilhelmi, Maria, Singan, Vasanth, Sreedasyam, Avinash, Hestrin, Rachel, Phillips, Jeremy, Hernandez, Bryan T, Barry, Kerrie, Shu, Shengqiang, Jenkins, Jerry, Schmutz, Jeremy, Goodstein, David M, Thilmony, Roger, Blumwald, Eduardo, and Vogel, John P
- Subjects
Biochemistry and Cell Biology ,Biological Sciences ,Genetics ,Mathematical Sciences ,Statistics ,Humans ,Brachypodium ,Genome ,Plant ,Biomass ,Transcriptome ,Stress ,Physiological ,genome ,perennial grass ,transcriptome ,abiotic stress ,transposable element ,Plant Genetics and Genomics ,Biochemistry and cell biology - Abstract
Perennial grasses are important forage crops and emerging biomass crops and have the potential to be more sustainable grain crops. However, most perennial grass crops are difficult experimental subjects due to their large size, difficult genetics, and/or their recalcitrance to transformation. Thus, a tractable model perennial grass could be used to rapidly make discoveries that can be translated to perennial grass crops. Brachypodium sylvaticum has the potential to serve as such a model because of its small size, rapid generation time, simple genetics, and transformability. Here, we provide a high-quality genome assembly and annotation for B. sylvaticum, an essential resource for a modern model system. In addition, we conducted transcriptomic studies under 4 abiotic stresses (water, heat, salt, and freezing). Our results indicate that crowns are more responsive to freezing than leaves which may help them overwinter. We observed extensive transcriptional responses with varying temporal dynamics to all abiotic stresses, including classic heat-responsive genes. These results can be used to form testable hypotheses about how perennial grasses respond to these stresses. Taken together, these results will allow B. sylvaticum to serve as a truly tractable perennial model system.
- Published
- 2023