SMART v1.0: A Database for Small Molecules with Functional Implications in Plants

Genome-wide identification of high-affinity nitrate transporter 2 (NRT2) gene family under phytohormones and abiotic stresses in alfalfa (Medicago sativa)

The high-affinity nitrate transporter 2 (NRT2) protein plays an important role in nitrate uptake and transport in plants. In this study, the NRT2s gene family were systematically analyzed in alfalfa. We identified three MsNRT2 genes from the genomic database. They were named MsNRT2.1-2.3 based on their chromosomal location. The phylogenetic tree revealed that NRT2 proteins were categorized into two main subgroups, which were further confirmed by their gene structure and conserved motifs. Three MsNRT2 genes distributed on 2 chromosomes. Furthermore, we studied the expression patterns of MsNRT2 genes in six tissues based on RNA-sequencing data from the Short Read Archive (SRA) database of NCBI, and the results showed that MsNRT2 genes were widely expressed in six tissues. After leaves and roots were treated with drought, salt, abscisic acid (ABA) and salicylic acid (SA) for 0-48 h, and we used quantitative RT-PCR to analyze the expression levels of MsNRT2 genes and the results showed that most of the MsNRT2 genes responded to these stresses. However, there are specific genes that play a role under specific treatment conditions. This result provides a basis for further research on the target genes. In summary, MsNRT2s play an irreplaceable role in the growth, development and stress response of alfalfa, and this study provides valuable information and theoretical basis for future research on MsNRT2 function.

Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods

Protein solubility is a critical parameter that determines the stability, activity, and functionality of proteins, with broad and far-reaching implications in biotechnology and biochemistry. Accurate prediction and control of protein solubility are essential for successful protein expression and purification in research and industrial settings. This study gathered information on soluble and insoluble proteins. In characterizing the proteins, they were mapped to STRING and characterized by functional and structural features. All functional/structural features were integrated to create a 5768-dimensional binary vector to encode proteins. Seven feature-ranking algorithms were employed to analyze the functional/structural features, yielding seven feature lists. These lists were subjected to the incremental feature selection, incorporating four classification algorithms, one by one to build effective classification models and identify functional/structural features with classification-related importance. Some essential functional/structural features used to differentiate between soluble and insoluble proteins were identified, including GO:0009987 (intercellular communication) and GO:0022613 (ribonucleoprotein complex biogenesis). The best classification model using support vector machine as the classification algorithm and 295 optimized functional/structural features generated the F1 score of 0.825, which can be a powerful tool to differentiate soluble proteins from insoluble proteins.

Genome-Wide Identification of the IQM Gene Family and Their Transcriptional Responses to Abiotic Stresses in Kiwifruit (Actinidia eriantha)

IQM is a plant-specific calcium-binding protein that plays a pivotal role in various aspects of plant growth response to stressors. We investigated the IQM gene family and its expression patterns under diverse abiotic stresses and conducted a comprehensive analysis and characterization of the AeIQMs, including protein structure, genomic location, phylogenetic relationships, gene expression profiles, salt tolerance, and expression patterns of this gene family under different abiotic stresses. Based on phylogenetic analysis, these 10 AeIQMs were classified into three distinct subfamilies (I-III). Analysis of the protein motifs revealed a considerable level of conservation among these AeIQM proteins within their respective subfamilies in kiwifruit. The genomic distribution of the 10 AeIQM genes spanned across eight chromosomes, where four pairs of IQM gene duplicates were associated with segmental duplication events. qRT-PCR analysis revealed diverse expression patterns of these AeIQM genes under different hormone treatments, and most AeIQMs showed inducibility by salt stress. Further investigations indicated that overexpression of AeIQMs in yeast significantly enhanced salt tolerance. These findings suggest that AeIQM genes might be involved in hormonal signal transduction and response to abiotic stress in Actinidia eriantha. In summary, this study provides valuable insights into the physiological functions of IQMs in kiwifruit.

CCIBP: a comprehensive cosmetic ingredients bioinformatics platform

SUMMARY

Cosmetics form an important part of our daily lives, and it is therefore important to understand the basic physicochemical properties, metabolic pathways, and toxicological and safe concentrations of these cosmetics molecules. Therefore, comprehensive cosmetic ingredients bioinformatics platform (CCIBP) was developed here, which is a unique comprehensive cosmetic database providing information on regulations, physicochemical properties, and human metabolic pathways for cosmetic molecules from major regions of the world, whilst also correlating plant information in natural products. CCIBP supports formulation analysis, efficacy component analysis, and also combines knowledge of synthetic biology to facilitate access to natural molecules and biosynthetic production. CCIBP, empowered with chemoinformatics, bioinformatics, and synthetic biology data and tools, presents a very helpful platform for cosmetic research and development of ingredients.

AVAILABILITY AND IMPLEMENTATION

CCIBP is available at: http://design.rxnfinder.org/cosing/.

Identification of Alfalfa SPL gene family and expression analysis under biotic and abiotic stresses

The SQUAMOSA promoter binding-like protein (SPL) is a specific transcription factor that affects plant growth and development. The SPL gene family has been explored in various plants, but information about these genes in alfalfa is limited. This study, based on the whole genome data of alfalfa SPL, the fundamental physicochemical properties, phylogenetic evolution, gene structure, cis-acting elements, and gene expression of members of the MsSPL gene family were analyzed by bioinformatics methods. We identified 82 SPL sequences in the alfalfa, which were annotated into 23 genes, including 7 (30.43%) genes with four alleles, 10 (43.47%) with three, 3 (13.04%) with two, 3 (13.04%) with one allele. These SPL genes were divided into six groups, that are constructed from A. thaliana, M. truncatula and alfalfa. Chromosomal localization of the identified SPL genes showed arbitary distribution. The subcellular localization predictions showed that all MsSPL proteins were located in the nucleus. A total of 71 pairs of duplicated genes were identified, and segmental duplication mainly contributed to the expansion of the MsSPL gene family. Analysis of the Ka/Ks ratios indicated that paralogs of the MsSPL gene family principally underwent purifying selection. Protein-protein interaction analysis of MsSPL proteins were performed to predict their roles in potential regulatory networks. Twelve cis-acting elements including phytohormone and stress elements were detected in the regions of MsSPL genes. We further analyzed that the MsSPLs had apparent responses to abiotic stresses such as drought and salt and the biotic stress of methyl jasmonate. These results provide comprehensive information on the MsSPL gene family in alfalfa and lay a solid foundation for elucidating the biological functions of MsSPLs. This study also provides valuable on the regulation mechanism and function of MsSPLs in response to biotic and abiotic stresses.