ArticleBMC plant biology2025
Multiomics analysis of cassava with different ploidy levels in response toTetranychus cinnabarinus.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundCassava (Manihot esculenta Crantz) is cultivated for its starchy root and mainly used as starch and biofuel feedstock in China. The red spider mite (Tetranychus cinnabarinus Boisduval) is one of the main insect pests reducing cassava yields and becoming more and more serious with regard to the increasing continuous cropping years in China.
resultsThe results indicated that SC205 (4×) was more resistant to T. cinnabarinus infestation than SC205 (2×) according to the leaf damage ingestion, nutrient substance and secondary metabolite results. The T. cinnabarinus infestation triggered the expression of many genes and various metabolic processes reaction. Under the mite feeding stress, SC205 (2×) and SC205 (4×) shared 4494 and 5849 differentially expressed genes (DEGs) at 2 and 8 days, respectively. The DEGs were found enriched in the defense pathways flavonoid biosynthesis (map00941) and the flavone and flavonol biosynthesis (map00944), while, differentially accumulated metabolites (DAMs) were also found enhanced in flavonol biosynthesis (map00944) and phenylpropanoid biosynthesis pathway (map00940). Integrative analysis revealed that under 8-day pest hazards, both DEGs and DAMs in SC205 (2×) and SC205 (4×) were significantly co-enriched in several key pathways, including alpha-linolenic acid metabolism, ABC transporters, galactose metabolism, ascorbate and aldarate metabolism, alanine, aspartate and glutamate metabolism, and tyrosine metabolism. These findings suggest that carbohydrate metabolism and amino acid metabolism play crucial roles in cassava's resistance to T. cinnabarinus infection.
conclusionsOur study reveal the mechanisms of how cassava diploid and its autopolyploid in response to the feeding of T. cinnabarinus and provides data support for the precise analysis of cassava resistance and mite resistance breeding in further research.
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