Comparative transcriptome profiling of two sweetpotato cultivars with contrasting flooding stress tolerance levels

Abstract

Sweetpotato (Ipomoea batatas [L.] Lam) is an important starch crop that ensures food and nutrition security in the era of climate change. Sweetpotato is tolerant to environmental stresses such as drought, high temperature, and high salt, and therefore, is well adapted to marginal lands; however, it is relatively vulnerable to flooding stress, which severely reduces its yield and commercial value. To understand the flooding stress response of sweetpotato, we performed comparative transcriptome analysis of the leaves of two sweetpotato cultivars with contrasting flooding stress tolerance levels: Yeonjami (YJM; flooding tolerant) and Jeonmi (JM; flooding sensitive). Both cultivars were partially submerged in water for 0, 0.5, and 3 days. RNA-seq data of both cultivars revealed 14,229 differentially expressed genes (DEGs), which were categorized into seven clusters and six groups, based on the expression pattern of co-expressed DEGs and expression duration of DEGs, respectively. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that DEGs of distinguishing functions between the two cultivars were involved in plant hormone signaling, carbohydrate transport, and mitogen-activated protein kinase (MAPK) signaling. Based on these results, we predict that YJM promotes adventitious growth, whereas JM exhibits shoot elongation under flooding stress. The expression levels of several key candidate genes involved in flooding tolerance correlated well with the comparative transcriptomics data. Overall, this study provides further insights into the molecular mechanism of flooding stress response in sweetpotato, and reveals candidate genes that could be used for developing new flooding tolerant sweetpotato cultivars.