De novo transcriptome analysis identifies key genes involved in dehydration stress response in kodo millet (Paspalum scrobiculatum L.)
Kodo millet (Paspalum scrobiculatum L.) is a small millet species known for its excellent nutritional and climate-resilient traits. To understand the genes and pathways underlying dehydration stress tolerance of kodo millet, the transcriptome of cultivar ‘CO3’ subjected to dehydration stress (0 h, 3...
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Veröffentlicht in: | Genomics (San Diego, Calif.) Calif.), 2022-05, Vol.114 (3), p.110347-110347, Article 110347 |
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Sprache: | eng |
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Zusammenfassung: | Kodo millet (Paspalum scrobiculatum L.) is a small millet species known for its excellent nutritional and climate-resilient traits. To understand the genes and pathways underlying dehydration stress tolerance of kodo millet, the transcriptome of cultivar ‘CO3’ subjected to dehydration stress (0 h, 3 h, and 6 h) was sequenced. The study generated 239.1 million clean reads that identified 9201, 9814, and 2346 differentially expressed genes (DEGs) in 0 h vs. 3 h, 0 h vs. 6 h, and 3 h vs. 6 h libraries, respectively. The DEGs were found to be associated with vital molecular pathways, including hormone metabolism and signaling, antioxidant scavenging, photosynthesis, and cellular metabolism, and were validated using qRT-PCR. Also, a higher abundance of uncharacterized genes expressed during stress warrants further studies to characterize this class of genes to understand their role in dehydration stress response. Altogether, the study provides insights into the transcriptomic response of kodo millet during dehydration stress.
•RNA-Seq of kodo millet (Paspalum scrobiculatum) subjected to dehydration stress was performed.•Several differentially expressed genes associated with vital molecular pathways were identified.•GO and KEGG pathway analysis revealed the enrichment of DEGs associated with stress tolerance.•Key transcription factors having roles in dehydration stress tolerance were identified.•qRT-PCR analysis of candidate genes validated the reliability of RNA-Seq data. |
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ISSN: | 0888-7543 1089-8646 |
DOI: | 10.1016/j.ygeno.2022.110347 |