Genome-Wide Identification and Expression Analysis of m6A Writers, Erasers, and Readers in Litchi ( Sonn.).

N6-methyladenosine (m6A) RNA modification is the most prevalent type of RNA methylation and plays a pivotal role in the development of plants. However, knowledge of the m6A modification in litchi remains limited. In this study, a complete analysis of m6A writers, erasers, and readers in litchi was performed and 31 litchi m6A regulatory genes were identified in total, including 7 m6A writers, 12 m6A erases, and 12 readers.

Meat differentiation between pasture-fed and concentrate-fed sheep/goats by liquid chromatography quadrupole time-of-flight mass spectrometry combined with metabolomic and lipidomic profiling.

Animal feeding method is a crucial factor in influencing meat quality. Consumers would preferentially select meat obtained from pasture-fed animals. In this study, an untargeted metabolomic and lipidomic method based on ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) combined with chemometric analysis was utilized to investigate the differences between meat from free-range and intensively-fed sheep/goats.

Rapid Immobilization of Simulated Radioactive Soil Waste Using Self-Propagating Synthesized Gd₂Ti₂O₇ Pyrochlore Matrix.

A rapid and effective method is necessary in the disposal of severely radioactive contaminated soil waste. Simulated Ce-bearing radioactive soil waste was immobilized by self-propagating high-temperature synthesis (SHS) within 5 min in this study. The main work includes the rapid synthesis of soil waste forms, the analysis of phase composition, microstructure and chemical durability.

Novel miRNA-based biomarker panel for detection β-agonists in goats.

miRNA sequencing was applied in this work to screen miRNA biomarkers related to β-agonists from the test and control goat samples. A total of 10 selected miRNAs were proven by qRT-PCR to be able to separate treatment cell groups from the control. With previously reported differentially expressed genes (DEGs), we used target gene prediction to build a miRNA-mRNA regulatory network related to β-agonists, which validated the miRNA biomarkers and provided a reference for identifying the mechanism of β-agonists.