RESUMO
Superoxide dismutase (SOD) is a key enzyme that scavenge superoxide anion free radical (O2·-) in vivo, and plays an important role in plant growth and development and stress. In this study, according to the genome and transcriptome data of Salvia miltiorrhizae, 9 SOD genes were identified and the expression patterns of SOD family genes were further analyzed, including 5 Cu/Zn-SOD, 2 Fe-SOD and 2 Mn-SOD. On the basis of proteomic analysis, combined with transcriptome data, one full-length cDNA of Mn-SOD gene, namely SmMSD2 was cloned from Salvia miltiorrhizae. The results of amino acid sequence alignment and phylogenetic analysis showed that SmMSD2 protein belongs to the manganese superoxide dismutase (Mn-SOD) subfamily, and SmMSD2 protein shares high sequence identity with the Mn-SOD proteins of various plants that all contain a C-terminal conserved metal-binding domain "DVWEHAYY". The prokaryotic expression vector pMAL-c2X-SmMSD2 was constructed and transformed into E. coli BL21 expressing strain, and the target recombinant protein was successfully induced and its enzymatic properties were analyzed. Spatiotemporal expression analysis showed that SmMSD2 gene was expressed in all tissues, indicating that SmMSD2 gene was constitutively expressed at a stable level. Real-time quantitative PCR indicated that drought (15% PEG6000), abscisic acid (ABA) and indole-3-acetic acid (IAA) could induce the expression of SmMSD2 gene, suggesting that SmMSD2 may be involved in the response of Salvia miltiorrhizae to abiotic stress such as drought, as well as the signaling pathways of phytohormone ABA and IAA. These results lay the foundation for further elucidating the involvement of superoxide dismutase in the stress response and accumulation of active components of Salvia miltiorrhiza.
RESUMO
Acute respiratory distress syndrome(ARDS)is one of the most common complications of sepsis, resulting in the high risk of death in patients with sepsis.By comparison with non-septic ARDS, sepsis-associated ARDS is characterized by high morbidity, heterogeneity and mortality.It is vital to early identify the occurrence of ARDS, accurately assess the severity, as well as effectively implement the individualized treatment.Based on the genome-wide association study, mass cytometry, and multiple omics data analysis, the molecular signatures of sepsis-associated ARDS have been elucidated, which were related to genetic susceptibility, inflammatory reaction pathway, and metabolic characteristics.The development of novel biomarkers is helpful to molecular classifier, risk stratification, early recognition and assessing severity, implement early intervention, then improving the prognosis.