ArticleScientific data2019
Transcriptomic profiling of sesame during waterlogging and recovery.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Mechanistic and omics based integrative approaches reveal genetic and molecular basis of drought resilience in sesame (Sesamum indicum L.).Plant molecular biology · 2026Review
- Physiological and Transcriptional Responses of Sesame (International journal of molecular sciences · 2025Article
- Multiple transcriptome analyses reveal mouse testis developmental dynamics.BMC genomics · 2024Article
- Full-length transcriptome and RNA-Seq analyses reveal the resistance mechanism of sesame in response to Corynespora cassiicola.BMC plant biology · 2024Article
- Physiological and Transcriptome Analyses of Photosynthesis in Three Mulberry Cultivars within Two Propagation Methods (Cutting and Grafting) under Waterlogging Stress.Plants (Basel, Switzerland) · 2023Article
- Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement.International journal of molecular sciences · 2023Review
- Article
- Variation in Melatonin Contents and Genetic Dissection of Melatonin Biosynthesis in Sesame.Plants (Basel, Switzerland) · 2022Article
- Genome-wide characterization and identification of candidate ERF genes involved in various abiotic stress responses in sesame (Sesamum indicum L.).BMC plant biology · 2022Article
- Full-Length Transcriptome and RNA-Seq Analyses Reveal the Mechanisms Underlying Waterlogging Tolerance in Kiwifruit (International journal of molecular sciences · 2022Article
- Article
- Comprehensive Analysis ofInternational journal of molecular sciences · 2021Article
- A novel motif in the 5'-UTR of an orphan gene 'Big Root Biomass' modulates root biomass in sesame.Plant biotechnology journal · 2021Article
- Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sesame is naturally adapted to arid environments but highly susceptible to waterlogging stress. A few hours of waterlogging (lasting over 36 h) are detrimental to the crop growth, yield and survival. To better understand the molecular mechanisms underlying sesame responses to waterlogging and recovery, it is essential to design a high-resolution time-series experiment. In this study, we reported the RNA-seq profiling of two contrasting genotypes under waterlogging and recovery. The plants were grown in pots and subjected to waterlogging treatment at the flowering stage for 36 h and subsequently, 12 h drainage. Root samples were collected in triplicate at 22 time points under waterlogging/drainage treatments and at 10 time points in the control condition. This represents a total of 195 biological samples and the RNA-seq yielded over eight billion reads. Basic data analyses demonstrated a clear separation of transcriptomes from control, waterlogging and drainage treatments. Overall, the generated high-quality and comprehensive RNA-seq resources will undoubtedly advance our understanding of waterlogging/drainage responses in a non-model sensitive crop.
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