Streamlined regulation of chloroplast development in the liverwort Marchantia polymorpha.

Chloroplasts develop from undifferentiated plastids in response to light. In angiosperms, after the perception of light, the Elongated Hypocotyl 5 (HY5) transcription factor initiates photomorphogenesis, and two families of transcription factors known as GOLDEN2-LIKE (GLK) and GATA are considered master regulators of chloroplast development. In addition, the MIR171-targeted SCARECROW-LIKE GRAS transcription factors also impact chlorophyll biosynthesis.

Impact of urban land use tax on carbon emission efficiency of urban construction land--Analysis based on panel data of 30 provinces in China.

Reducing urban carbon emissions is an important path for ecological civilization construction, which can be achieved through the adjustment of urban land use tax. Using provincial Panel data from 2011 to 2021, based on the analysis of urban carbon emission efficiency values using a non radial SBM model, the Tobit random effects panel model is used to explore the institutional impact of urban land use tax. The study found that urban land use tax has a significant positive promoting effect on carbon emission efficiency and shows certain regional differences.

Limited conservation in cross-species comparison of GLK transcription factor binding suggested wide-spread cistrome divergence.

Non-coding cis-regulatory variants in animal genomes are an important driving force in the evolution of transcription regulation and phenotype diversity. However, cistrome dynamics in plants remain largely underexplored. Here, we compare the binding of GOLDEN2-LIKE (GLK) transcription factors in tomato, tobacco, Arabidopsis, maize and rice.

Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis.

Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide. Due to the lack of early diagnosis methods and warning signals of CRC and its strong heterogeneity, the determination of accurate treatments for CRC and the identification of specific early warning signals are still urgent problems for researchers. In this study, the expression profiles of cancer tissues and the expression profiles of tumor-adjacent tissues in 28 CRC patients were combined into a human protein-protein interaction (PPI) network to construct a specific network for each patient.