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Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava

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Title Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava
 
Creator Cao, Min
Zheng, Linling
Junyi Li
Mao, Yiming
Zhang, Rui
Niu, Xiaolei
Geng, Mengting
Zhang, Xiaofei
Huang, Wei
Luo, Kai
Chen, Yinhua
 
Subject waterlogging
cassava
water tolerance
gene expression
transcription factors
 
Description 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.
 
Date 2022-01-21
2023-01-20T09:32:32Z
2023-01-20T09:32:32Z
 
Type Journal Article
 
Identifier Cao, M.; Zheng, L.; Li, J.; Mao, Y.; Zhang, R.; Niu, X.; Geng, M.; Zhang, X.; Huang, W.; Luo, K.; Chen, Y. (2022) Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava. PLOS ONE 17(1): e0261086. ISSN: 1932-6203
1932-6203
https://hdl.handle.net/10568/127662
https://doi.org/10.1371/journal.pone.0261086
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format application/pdf
 
Publisher Public Library of Science (PLoS)
 
Source PLOS ONE