Integrating transcriptome and physiological analyses to elucidate the essential biological mechanisms of graphene phytotoxicity of alfalfa (Medicago sativa L.).

The phytotoxicity of nanoparticles has attracted considerable interest, given the broad applications of nanomaterials in different fields. Alfalfa (Medicago sativa L.) is a major forage crop grown worldwide with a high protein content. The molecular regulation mechanisms involved in nanomaterial-treated alfalfa were examined in this research. In our lab, 18 cDNA libraries of Golden Empress (GE) and Bara 310SC (SC) under control (CK), middle (10 g kg-1)- and high (20 g kg-1)-graphene stress treatments were constructed in 2019. All clean reads were matched to the reference Medicago_truncatula genome, the mapping ratio was higher than 50%, and a total of 3946 differentially expressed genes (DEGs) were obtained. The number of DEGs that reflect transcriptional activity is proportional to the degree of stress. For example, 1241/610 and 1794/1422 DEGs were identified as significant in the leaves of GE/SC under mid- and high-graphene treatment, respectively. Furthermore, GO analysis of the DEGs annotated in some significant biochemical process terms included 'response to abiotic stimulus', 'oxidation-reduction process', 'protein kinase activity', and 'oxidoreductase activity'. KEGG pathway analysis of the DEGs revealed strongly mediated graphene-responsive genes in alfalfa mainly linked to the 'biosynthesis of amino acids', 'isoflavonoid biosynthesis', 'linoleic acid metabolism', and 'phenylpropanoid biosynthesis' pathways. In addition, hundreds of DEGs, including photosynthetic, antioxidant enzyme, nitrogen metabolism, and metabolic sucrose and starch genes, have been identified as potentially involved in the response to graphene. Physiological findings revealed that enzymes related to the metabolism of nitrogen play a crucial role in the adaptation of graphene stress to alfalfa. Ultimately, in response to graphene stress, a preliminary regulatory mechanism was proposed for the self-protective mechanism of alfalfa, which helps to explain the phytotoxicity of the molecular mechanism of nanoparticle-treated crops.