Soybean is an important crop grown worldwide, and drought stress seriously affects the yield and quality of soybean. Therefore, it is necessary to elucidate the molecular mechanisms underlying soybean resistance to drought stress. In this study, RNA-seq technology and ultra-performance liquid chromatography–tandem mass spectrometry were used to analyze the transcriptome and metabolome changes in soybean leaves at the seedling stage under drought stress. The results showed that there were 4790 and 3483 DEGs (differentially expressed genes) and 156 and 124 DAMs (differentially expressed metabolites), respectively, in the HN65CK vs. HN65S0 and HN44CK vs. HN44S0 comparison groups. Comprehensive analysis of transcriptomic and metabolomic data reveals metabolic regulation of seedling soybean in response to drought stress. Some candidate genes such as LOC100802571, LOC100814585, LOC100777350 and LOC100787920, LOC100800547, and LOC100785313 showed different expression trends between the two cultivars, which may cause differences in drought resistance. Secondly, a large number of flavonoids were identified, and the expression of Monohydroxy-trimethoxyflavone-O-(6″-malonyl)glucoside was upregulated between the two varieties. Finally, several key candidate genes and metabolites involved in isoflavone biosynthesis and the TCA cycle were identified, suggesting that these metabolic pathways play important roles in soybean response to drought. Our study deepens the understanding of soybean drought resistance mechanisms and provides references for soybean drought resistance breeding.

Soybean is an important food crop in the world. Drought can seriously affect the yield and quality of soybean; however, studies on extreme drought—weak and strong—are absent. In this study, drought-tolerant soybean Heinong 44 (HN44) and sensitive soybean Heinong 65 (HN65) were used as the test varieties, and the effects of strong and weak droughts on the physiological stability of soybean were explored through the drought treatment of soybean at the early flowering stage. The results showed that the contents of malondialdehyde (MDA), hydrogen peroxide (H₂O₂), and superoxide anions (${\mathrm{O}}_2^{·-}$) increased with the increase in the degree of drought. The plant height and relative water content decreased, and photosynthesis was inhibited. The activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), and the total antioxidant capacity (T-AOC) showed a trend of first increasing and then decreasing. Through contribution analysis, CAT changed the most, and the role of SOD gradually increased with the aggravation of drought. With the aggravation of drought, the contents of soluble sugar (SSC) and proline (Pro) increased gradually, and the content of soluble protein (SP) increased initially and then decreased. According to contribution analysis, SSC had the highest contribution to osmotic adjustment. SSC and Pro showed an upward trend with the aggravation of drought, indicating that their role in drought was gradually enhanced.

Low temperatures have seriously affected crop growth owing to climate change and frequent extreme weather. Low-temperature disasters easily affect the early-growth stages of planted soybeans in Northeast China. In the present study, the comprehensive evaluation method using low-temperature (4 °C) simulation at soybean germination and seedling stages was used to compare soybean cultivars. The results revealed that low temperatures inhibited the germination ability of soybean seeds and prolonged the average germination time (about 7–13 days under low temperatures). Simultaneously, low-temperature stress at the seedling stage decreased plant height and dry weight, but accumulated proline and soluble sugar. The soluble protein content of most cultivars decreased at low temperatures. Peroxidase activity was significantly decreased in henong70, suinong82, and heinong83, and opposite in the other cultivars. Additionally, MDA content increased in cultivars heinong69, dongnong42, and dongnong55. The final comprehensive evaluation showed that Suinong42 had better low-temperature tolerance, whereas Kendou40 was more sensitive to low temperatures. The grey correlation analysis also showed that dry weight and proline can be used as the target traits for cultivar improvement.