misORFPred: A Novel Method to Mine Translatable sORFs in Plant Pri-miRNAs Using Enhanced Scalable k-mer and Dynamic Ensemble Voting Strategy.

The primary microRNAs (pri-miRNAs) have been observed to contain translatable small open reading frames (sORFs) that can encode peptides as an independent element. Relevant studies have proven that those of sORFs are of significance in regulating the expression of biological traits. The existing methods for predicting the coding potential of sORFs frequently overlook this data or categorize them as negative samples, impeding the identification of additional translatable sORFs in pri-miRNAs.

SlLTPg1, a tomato lipid transfer protein, positively regulates in response to biotic stresses.

Late blight, caused by Phytophthora infestans (P. infestans), is among the most devastating diseases affecting tomato and other Solanaceae species. Lipid transfer proteins (LTPs) represent a class of small, basic proteins that play a crucial role in combating biotic stresses.

Regulatory Peptide Encoded by the Primary Transcript of miR396a Influences Gene Expression and Root Development in .

MicroRNAs (miRNAs) are the processing products of primary miRNAs (pri-miRNAs) that regulate the expression of target genes. Recent studies have demonstrated that some pri-miRNAs can encode small peptides (miPEPs) that perform significant biological functions. The function of miPEPs in tomatoes, an important model horticultural crop, remains to be investigated.

Spontaneous chromosome instability and tissue culture-induced karyotypic alteration in wheat-Thinopyrum intermedium alien addition lines.

Wheat lines harboring wild-relative chromosomes can be karyotypically unstable during long-term maintenance. Tissue culture exacerbates chromosomal instability but appears inefficient to induce somatic homoeologous exchange between alien and wheat chromosomes. We assessed if long-term refrigerator storage with regular renewal via self-fertilization, a widely used practice for crop germplasm maintenance, would ensure genetic fidelity of alien addition lines, and explored the possibility of inducing somatic homoeologues exchange by tissue culture.

The lncRNA20718-miR6022-RLPs module regulates tomato resistance to Phytophthora infestans.

Sl-lncRNA20718 acts as an eTM of Sl-miR6022 regulating its expression thereby affecting SlRLP6/10 expression. SlRLP6/10 regulate PRs expression, ROS accumulation, and JA/ET content thereby affecting tomato resistance to P. infestans.

Gas-responsive two-dimensional metal-organic framework composites for trace visualization of volatile organic compounds.

Highly sensitive and specific identification of complex volatile organic compound mixtures has always been a huge challenge in the field of gas detection. To address this issue, the gas-responsive two-dimensional metal-organic framework (MOF) composites have been designed for fabricating a colorimetric sensor arrays for extremely sensitive detection of volatile organic compounds (VOCs). The physically exfoliated MOF nanosheets Zn(bim) with large surface area and abundant unsaturated active sites were used for loading various dyes to form dye/Zn(bim) composites.

PAMPred: A hierarchical evolutionary ensemble framework for identifying plant antimicrobial peptides.

Antimicrobial peptides (AMPs) play a crucial role in plant immune regulation, growth and development stages, which have attracted significant attentions in recent years. As the wet-lab experiments are laborious and cost-prohibitive, it is indispensable to develop computational methods to discover novel plant AMPs accurately. In this study, we presented a hierarchical evolutionary ensemble framework, named PAMPred, which consisted of a multi-level heterogeneous architecture to identify plant AMPs.

miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning.

MicroRNAs (miRNAs) are an essential type of small molecule RNAs that play significant regulatory roles in organisms. Recent studies have demonstrated that small open reading frames (sORFs) harbored in primary miRNAs (pri-miRNAs) can encode small peptides, known as miPEPs. Plant miPEPs can increase the abundance and activity of cognate miRNAs by promoting the transcription of their corresponding pri-miRNAs, thereby modulating plant traits.

Secreted Peptide SpPIP1 Modulates Disease Resistance and Salt Tolerance in Tomato.

Tomato is a globally important horticultural and economic crop, but its productivity is severely affected by various stresses. Plant small secretory peptides have been identified as crucial mediators in plant resistance. Here, we conducted a comparative transcriptome analysis and identified the gene from (), as an ortholog of encoding the precursor protein of PAMP-induced SSP 1.

The effectors of Phytophthora infestans impact host immunity upon regulation of antagonistic hormonal activities.

Phytophthora infestans effectors manipulate the antagonism of host hormones to interfere with the immune response of plants at different infection stages. Phytophthora infestans (P. infestans) poses a serious threat to global crop production, and its effectors play an indispensable role in its pathogenicity.

Sl-lncRNA47980, a positive regulator affects tomato resistance to Phytophthora infestans.

Emerging evidence suggests that long non-coding RNAs (lncRNAs) involve in defense respond against pathogen attack and show great potentials to improve plant resistance. Tomato late blight, a destructive plant disease, is caused by the oomycete pathogen Phytophthora infestans, which seriously affects the yield and quality of tomato. Our previous research has shown that Sl-lncRNA47980 is involved in response to P.

Identification of small open reading frames in plant lncRNA using class-imbalance learning.

Recently, small open reading frames (sORFs) in long noncoding RNA (lncRNA) have been demonstrated to encode small peptides that can help study the mechanisms of growth and development in organisms. Since machine learning-based computational methods are less costly compared with biological experiments, they can be used to identify sORFs and provide a basis for biological experiments. However, few computational methods and data resources have been exploited for identifying sORFs in plant lncRNA.

sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs.

Long non-coding RNAs (lncRNAs) are important regulators of biological processes. It has recently been shown that some lncRNAs include small open reading frames (sORFs) that can encode small peptides of no more than 100 amino acids. However, existing methods are commonly applied to human and animal datasets and still suffer from low feature representation capability.

Characterization of lncRNAs in mycorrhizal tomato and elucidation of the role of lncRNA69908 in disease resistance.

Long noncoding RNAs (lncRNAs) have attracted widespread attention because of their meaningful roles in various plant biological processes. However, the potential functions of lncRNAs in the plant-beneficial microorganism interactions have not been fully explored. Arbuscular mycorrhiza (AM) symbiosis is accompanied by the systemic induction of defense responses in the host leaves.

The lncRNA39896-miR166b-HDZs module affects tomato resistance to Phytophthora infestans.

The yield and quality of tomatoes (Solanum lycopersicum) is seriously affected by Phytophthora infestans. The long non-coding RNA (lncRNA) Sl-lncRNA39896 is induced after P. infestans infection and was previously predicted to act as an endogenous target mimic (eTM) for the microRNA Sl-miR166b, which function in stress responses.

RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction.

Different ribonucleic acids (RNAs) can interact to form regulatory networks that play important role in many life activities. Molecular biology experiments can confirm RNA-RNA interactions to facilitate the exploration of their biological functions, but they are expensive and time-consuming. Machine learning models can predict potential RNA-RNA interactions, which provide candidates for molecular biology experiments to save a lot of time and cost.

Genome-wide identification and characterization of the tomato F-box associated (FBA) protein family and expression analysis of their responsiveness to Phytophthora infestans.

Late blight caused by Phytophthora infestans brings huge economic losses to the production of tomato (Solanum lycopersicum) every year. F-box proteins participate in plants response to phytohormones and biotic stress, whereas as the largest subfamily of F-box superfamily, the detailed information about F-box associated (SlFBA) family in tomato has been rarely reported. In this study, a total of 46 tomato FBA genes were identified based on the latest genome annotation.

Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA-Protein Interactions.

Long non-coding RNAs (lncRNAs) have attracted extensive attention due to their important roles in various biological processes, among which lncRNA-protein interaction plays an important regulatory role in plant immunity and life activities. Laboratory methods are time consuming and labor-intensive, so that many computational methods have gradually emerged as auxiliary tools to assist relevant research. However, there are relatively few methods to predict lncRNA-protein interaction of plant.

Overexpression of lncRNA08489 enhances tomato immunity against Phytophthora infestans by decoying miR482e-3p.

LncRNAs are widely involved in various biological processes of plants. Recent evidences indicated that lncRNAs could act as competing endogenous RNAs (ceRNAs) to adsorb complementary miRNAs in a type of target mimicry, thereby indirectly regulating the target genes of miRNAs. In this study, a lncRNA, lncRNA08489 was identified to be the ceRNA of miR482e-3p in tomato plants.

Mining plant endogenous target mimics from miRNA-lncRNA interactions based on dual-path parallel ensemble pruning method.

The interactions between microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) play important roles in biological activities. Specially, lncRNAs as endogenous target mimics (eTMs) can bind miRNAs to regulate the expressions of target messenger RNAs (mRNAs). A growing number of studies focus on animals, but the studies on plants are scarce and many functions of plant eTMs are unknown.

PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

Background: Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types of proteins interact with the lncRNAs. However, the models or rules of interactions are a major challenge when calculating and estimating the types of RBP.

Identifying LncRNA-Encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning.

Long non-coding RNA (lncRNA) contains short open reading frames (sORFs), and sORFs-encoded short peptides (SEPs) have become the focus of scientific studies due to their crucial role in life activities. The identification of SEPs is vital to further understanding their regulatory function. Bioinformatics methods can quickly identify SEPs to provide credible candidate sequences for verifying SEPs by biological experimenrts.

LncRNA-Encoded Short Peptides Identification Using Feature Subset Recombination and Ensemble Learning.

Long non-coding RNA (lncRNA), which is a type of non-coding RNA, was reported to contain short open reading frames (sORFs). SORFs-encoded short peptides (SEPs) have been demonstrated to play a crucial role in regulating the biological processes such as growth, development, and resistance response. The identification of SEPs is vital to further understanding their function.

Function identification of miR394 in tomato resistance to Phytophthora infestans.

MiR394 plays a negative role in tomato resistance to late blight. The lncRNA40787 severing as an eTM for miR394 to regulate LCR and exerting functions in tomato resistance. Tomato (Solanum lycopersicum), which was used as model species for studying the mechanism of plant disease defense, is susceptible to multiple pathogens.