ArticlePloS one2022
Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava.
Article in PloS one, 2022. 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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15 citing papers in PubMed, 34 citations in OpenAlex.
- Photosynthetic function analysis under rhizosphere anaerobic conditions in early-stage cassava.Photosynthesis research · 2025Article
- Decoding plant responses to waterlogging: from stress signals to molecular mechanisms and their future implications.Plant molecular biology · 2025Review
- Physiological and Multi-Omics Integrative Analysis Provides New Insights into Tolerance to Waterlogging Stress in Sesame (International journal of molecular sciences · 2025Article
- Integrated transcriptomics and metabolomics analyses reveal key pathway responses during the grain-filling stage in maize under waterlogging stress.Frontiers in plant science · 2025Article
- Comparative Analysis of Two Soybean Cultivars Revealed Tolerance Mechanisms Underlying Soybean Adaptation to Flooding.Current issues in molecular biology · 2024Article
- Transcriptomic analysis reveals the regulatory mechanisms of messenger RNA (mRNA) and long non-coding RNA (lncRNA) in response to waterlogging stress in rye (Secale cereale L.).BMC plant biology · 2024Article
- Transcriptomic, Physiological, and Metabolomic Response of an Alpine Plant,International journal of molecular sciences · 2023Article
- Article
- Exploring the Potential of Multiomics and Other Integrative Approaches for Improving Waterlogging Tolerance in Plants.Plants (Basel, Switzerland) · 2023Review
- Physiological and sucrose metabolic responses to waterlogging stress in balloon flower (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Transcriptomic responses of oil palm (Frontiers in plant science · 2023Article
- Elucidating the molecular responses to waterlogging stress in onion (Frontiers in plant science · 2023Article
- Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops.Frontiers in plant science · 2023Review
- Physiological, biochemical, and metabolic changes in diploid and triploid watermelon leaves during flooding.Frontiers in plant science · 2023Article
- Genome-wide identification and expression of TIFY family in cassava (Frontiers in plant science · 2022Article
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Owing to climate change impacts, waterlogging is a serious abiotic stress that affects crops, resulting in stunted growth and loss of productivity. Cassava (Manihot esculenta Grantz) is usually grown in areas that experience high amounts of rainfall; however, little research has been done on the waterlogging tolerance mechanism of this species. Therefore, we investigated the physiological responses of cassava plants to waterlogging stress and analyzed global gene transcription responses in the leaves and roots of waterlogged cassava plants. The results showed that waterlogging stress significantly decreased the leaf chlorophyll content, caused premature senescence, and increased the activities of superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD) in the leaves and roots. In total, 2538 differentially expressed genes (DEGs) were detected in the leaves and 13364 in the roots, with 1523 genes shared between the two tissues. Comparative analysis revealed that the DEGs were related mainly to photosynthesis, amino metabolism, RNA transport and degradation. We also summarized the functions of the pathways that respond to waterlogging and are involved in photosynthesis, glycolysis and galactose metabolism. Additionally, many transcription factors (TFs), such as MYBs, AP2/ERFs, WRKYs and NACs, were identified, suggesting that they potentially function in the waterlogging response in cassava. The expression of 12 randomly selected genes evaluated via both quantitative real-time PCR (qRT-PCR) and RNA sequencing (RNA-seq) was highly correlated (R2 = 0.9077), validating the reliability of the RNA-seq results. The potential waterlogging stress-related transcripts identified in this study are representatives of candidate genes and molecular resources for further understanding the molecular mechanisms underlying the waterlogging response in cassava.
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