bioRxivGenomicsPreprint
Haplotype-resolved genome assembly of upland switchgrass provides insights into cold tolerance
Bingchao WuiD, Dan Luo, Yuesen YueiD, Haidong YaniD, Min HeiD, Xixi MaiD, Bingyu ZhaoiD, Bin XuiD, Jie ZhuiD, Jing WangiD, Jiyuan JiaiD, Min SuniD, Zheni XieiD, Xiaoshan WangiD, Linkai HuangiD
Abstract
Switchgrass (Panicum virgatum L.) is a bioenergy and forage crop. Upland switchgrass exhibits superior cold tolerance than lowland ecotype, but the underlying molecular mechanisms remain unclear. Here, we presented a high-quality haplotype-resolved genome of the upland ecotype Jingji31 and conducted multi-omics analysis to understand its cold tolerance. The divergence between upland and lowland ecotypes of switchgrass occurred after the differentiation of the two subgenomes (K and N). Under cold stress, the K subgenome has more differentially expressed genes (DEGs). Transcriptome analysis revealed ecotype-specific differential expressions among members of the cold-responsive (COR) gene families. Specifically, certain members of the AFB1, ATL80, HOS10, and STRS2 gene families exhibited opposite expression changes between the two ecotypes, potentially contributing to their differential cold tolerance. By using haplotype-resolved genome, we identified more cold-induced allele-specific expressions (ASEs) in the upland ecotype, and these ASEs were significantly enriched in the COR gene families. Genome-wide association study detected an association signal on Chr3K related to overwintering rate, which overlapped with a selective sweep region and contained a cytochrome P450 (CYP450) gene highly expressed under cold stress. Heterologous overexpression of CYP450 in rice alleviated leaf wilting and improved cold tolerance. Our study provides a high-quality haplotype-resolved genome of upland switchgrass, to advance conceptual understanding of plant cold tolerance for breeding crops with enhanced cold adaptation.
- organism: plant (other)
- assay: whole-genome sequencing
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: GWAS / association mapping
- approach: statistical model
- approach: experimental assay
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Haplotype-resolved Genome Assemblies Reveal Subgenome Origins, Genome Bias and Reticulate Evolution in Wheatgrass Species
Yuanyuan Ji, Raju Chaudhary, … Lingling Jin·bioRxiv·Apr 8, 2026
- Temporal Regulation of Cold Transcriptional Response in Switchgrass
T. Ranaweera, B. N. I. Brown, … S.-H. Shiu·bioRxiv·Aug 1, 2022
- Exotic alleles contribute to heat tolerance in wheat under field conditions
G. Molero, B. Coombes, … M. P. Reynolds·bioRxiv·Feb 9, 2022
- Genome-Wide Associations with Resistance to Bipolaris Leaf Spot (Bipolaris oryzae (Breda de Haan) Shoemaker) in a Northern Switchgrass Population (Panicum virgatum)
Kittikun Songsomboon, Ryan Crawford, … Donald R. Viands·PlantsPeer-reviewed·May 20, 2022
- A novel tolerance index to identify heat tolerance in cultivated and wild barley genotypes
F. Bahrami, A. Arzani, M. Rahimmalek·bioRxiv·May 31, 2020
- Comparative transcriptomics and metabolomics reveal specialized metabolite drought stress responses in switchgrass (Panicum virgatum L.)
K. J. Tiedge, X. Li, … P. Zerbe·bioRxiv·Apr 20, 2022