AP2/ERF is a large family of transcription factors in plant. Genes in the AP2/ERF family encode transcriptional regulators with a variety of functions involved in the developmental and physiological processes in plants. Two AP2/ERF family transcriptional regulators (BnaERFB3-1 and BnaERFB3-2) were isolated from B. napus by in silico cloning method using the conserved domain amino acid sequence of A. thaliana AP2/ERF-B3 subfamily as probe. Based on the sequences of BnaERFB3-1 and BnaERFB3-2, we isolated the BnaERFB3-1-Hy15 gene and BnaERFB3-2-Hy15 gene from winter and spring type B. napus L. cv Huyou15 by RT-PCR and PCR using cDNA and DNA as template. DNA sequencing and analyzing indicated that there was only one amino acid residue difference between BnaERFB3-1 and BnaERFB3-1-Hy15, BnaERFB3-2 and BnaERFB3-2-Hy15, respectively. No intron localized on the two genes from Huyou15. Then, deduced amino acid sequence, composition, hydrophobicty and hydrophilicity, physical and chemical characterization, phylogenetic tree, conserved domain sequences, function domain, molecular modeling, and folding state were predicted and analyzed. BnaERFB3-1-Hy15 and BnaERFB3-2-Hy15 were hydrophilic protein. The two proteins and AtERF5 have similar three-dimension structure. The disordered residues of protein BnaERFB3-1-Hy15 and BnaERFB3-2-Hy15 were higher than that of AtERF5. BnaERFB3-1 was mainly expressed in seed, while BnaERFB3-2 was mainly expressed in root. Moreover, those genes were successfully constructed into the recombinant plasmids of plant expression vector and yeast expression vector, which established a base for transformation of oilseed and studies of those genes function in abiotic stresses of B. napus.
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J Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFFood Funct
January 2025
College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
This study aimed to investigate the effects of heat-killed N1 (HK-N1) and lipoteichoic acid (LTA) derived from it on alleviating insulin resistance by modulating the gut microbiota and amino acid metabolism. High-fat diet (HFD)-fed mice were administered live bacteria or HK-N1, and the results demonstrated that HK-N1 significantly reduced epididymal adipocyte size and serum low density lipoprotein-cholesterol, and improved insulin resistance by increasing the YY peptide and glucagon-like peptide levels. HK-N1 also modulated the gut microbiome composition, enhancing microbiota uniformity and reducing the abundance of , and .
View Article and Find Full Text PDFMol Ecol Resour
January 2025
Manchester Institute of Biotechnology, School of Natural Sciences, University of Manchester, Manchester, UK.
Collagen is the most ubiquitous protein in the animal kingdom and one of the most abundant proteins on Earth. Despite having a relatively repetitive amino acid sequence motif that enables its triple helical structure, in type 1 collagen, that dominates skin and bone, there is enough variation for its increasing use for the biomolecular species identification of animal tissues processed or degraded beyond the amenability of DNA-based analyses. In recent years, this has been most commonly achieved through the technique of collagen peptide mass fingerprinting (PMF) known as ZooMS (Zooarchaeology by Mass Spectrometry), applied to the analysis of tens of thousands of samples across over one hundred studies in the past decade alone.
View Article and Find Full Text PDFGastro Hep Adv
September 2024
Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Aims: Steatotic liver disease (SLD) is the most common chronic liver disease strongly associated with metabolic dysfunction, but its pathogenesis remains incompletely understood. Exploring plasma circulating metabolites may help in elucidating underlying mechanisms and identifying new biomarkers for SLD.
Methods: We examined cross-sectionally the association between plasma metabolites and SLD as well as liver enzymes using data from 4 population-based cohort studies (Rotterdam study, Avon Longitudinal Study of Parents and Children, The Insulin Resistance Atherosclerosis Family Study, and Study of Latinos).
Background: Chronic low back pain (LBP) is a significant global health concern, often linked to vertebral bone marrow lesions (BML), particularly fatty replacement (FR). This study aims to explore the relationship between the gut microbiome, serum metabolome, and FR in chronic LBP patients.
Methods: Serum metabolomic profiling and gut microbiome analysis were conducted in chronic LBP patients with and without FR (LBP + FR, = 40; LBP, = 40) and Healthy Controls (HC, = 31).
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