Genome-wide identification of lncRNAs, miRNAs, mRNAs and their regulatory networks involved in tapping panel dryness in rubber tree (Hevea brasiliensis)

Genome-wide identification and functional profile analysis of long non-coding RNAs in Avicennia marina

Avicennia marina, known for its remarkable adaptability to the challenging coastal environment, including high salinity, tide, and anaerobic soils, holds pivotal functions in safeguarding the coastal ecosystem. Long non-coding RNAs (lncRNAs) have emerged as significant players in various natural processes of plants such as development. However, lncRNAs in A. marina remain largely unknown and uncharacterized. Here, we employed the transcriptome datasets from multiple tissues, such as root, leaf, and seed, to detect and characterize the lncRNAs of A. marina. Analyzing synthetically, we finally identified 6333 lncRNAs in the A. marina. These lncRNAs exhibited distinct features compared to messenger RNAs, including larger exons, lower guanine-cytosine contents, lower expression levels, and higher tissue specificities. Moreover, we identified thousands of tissue-specific lncRNAs across the examined tissues and further found that these tissue-specific lncRNAs were significantly enriched in biological processes related to the major functions of their corresponding tissues. For instance, leaf-specific lncRNAs showed prominent enrichment in photosynthesis, oxidation-reduction processes, and light harvesting. By providing a comprehensive dataset and functional annotations for A. marina lncRNAs, this study offers a valuable overview of lncRNAs in A. marina and lays the fundamental foundation for further functional exploring of them.

Genome-Wide Identification and Expression Profile Analysis of the Phenylalanine Ammonia-Lyase Gene Family in Hevea brasiliensis

The majority of the world's natural rubber comes from the rubber tree (Hevea brasiliensis). As a key enzyme for synthesizing phenylpropanoid compounds, phenylalanine ammonia-lyase (PAL) has a critical role in plant satisfactory growth and environmental adaptation. To clarify the characteristics of rubber tree PAL family genes, a genome-wide characterization of rubber tree PALs was conducted in this study. Eight PAL genes (HbPAL1-HbPAL8), which spread over chromosomes 3, 7, 8, 10, 12, 13, 14, 16, and 18, were found to be present in the genome of H. brasiliensis. Phylogenetic analysis classified HbPALs into groups I and II, and the group I HbPALs (HbPAL1-HbPAL6) displayed similar conserved motif compositions and gene architectures. Tissue expression patterns of HbPALs quantified by quantitative real-time PCR (qPCR) proved that distinct HbPALs exhibited varying tissue expression patterns. The HbPAL promoters contained a plethora of cis-acting elements that responded to hormones and stress, and the qPCR analysis demonstrated that abiotic stressors like cold, drought, salt, and H2O2-induced oxidative stress, as well as hormones like salicylic acid, abscisic acid, ethylene, and methyl jasmonate, controlled the expression of HbPALs. The majority of HbPALs were also regulated by powdery mildew, anthracnose, and Corynespora leaf fall disease infection. In addition, HbPAL1, HbPAL4, and HbPAL7 were significantly up-regulated in the bark of tapping panel dryness rubber trees relative to that of healthy trees. Our results provide a thorough comprehension of the characteristics of HbPAL genes and set the groundwork for further investigation of the biological functions of HbPALs in rubber trees.

Integrated physiology, transcriptome and proteome analyses highlight the potential roles of multiple hormone-mediated signaling pathways involved in tapping panel dryness in rubber tree

Currently, one of the most serious threats to rubber tree is the tapping panel dryness (TPD) that greatly restricts natural rubber production. Over-tapping or excessive ethephon stimulation is regarded as the main cause of TPD occurrence. Although extensive studies have been carried out, the molecular mechanism underlying TPD remains puzzled. An attempt was made to compare the levels of endogenous hormones and the profiles of transcriptome and proteome between healthy and TPD trees. Results showed that most of endogenous hormones such as jasmonic acid (JA), 1-aminocyclopropanecarboxylic acid (ACC), indole-3-acetic acid (IAA), trans-zeatin (tZ) and salicylic acid (SA) in the barks were significantly altered in TPD-affected rubber trees. Accordingly, multiple hormone-mediated signaling pathways were changed. In total, 731 differentially expressed genes (DEGs) and 671 differentially expressed proteins (DEPs) were identified, of which 80 DEGs were identified as putative transcription factors (TFs). Further analysis revealed that 12 DEGs and five DEPs regulated plant hormone synthesis, and that 16 DEGs and six DEPs were involved in plant hormone signal transduction pathway. Nine DEGs and four DEPs participated in rubber biosynthesis and most DEGs and all the four DEPs were repressed in TPD trees. All these results highlight the potential roles of endogenous hormones, signaling pathways mediated by these hormones and rubber biosynthesis pathway in the defense response of rubber trees to TPD. The present study extends our understanding of the nature and mechanism underlying TPD and provides some candidate genes and proteins related to TPD for further research in the future.

Advancing image segmentation with DBO-Otsu: Addressing rubber tree diseases through enhanced threshold techniques

Addressing the profound impact of Tapping Panel Dryness (TPD) on yield and quality in the global rubber industry, this study introduces a cutting-edge Otsu threshold segmentation technique, enhanced by Dung Beetle Optimization (DBO-Otsu). This innovative approach optimizes the segmentation threshold combination by accelerating convergence and diversifying search methodologies. Following initial segmentation, TPD severity levels are meticulously assessed using morphological characteristics, enabling precise determination of optimal thresholds for final segmentation. The efficacy of DBO-Otsu is rigorously evaluated against mainstream benchmarks like Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Feature Similarity Index (FSIM), and compared with six contemporary swarm intelligence algorithms. The findings reveal that DBO-Otsu substantially surpasses its counterparts in image segmentation quality and processing speed. Further empirical analysis on a dataset comprising TPD cases from level 1 to 5 underscores the algorithm's practical utility, achieving an impressive 80% accuracy in severity level identification and underscoring its potential for TPD image segmentation and recognition tasks.

Bark transcriptome analyses reveals molecular mechanisms involved in tapping panel dryness occurrence and development in rubber tree (Hevea brasiliensis)

Tapping panel dryness (TPD) has become the mostimportant limiting factor for increasing natural rubber yield, whereas illuminating the molecular mechanisms underlying TPD is the prerequisite for solving the problem of TPD. However, molecular mechanisms underlying TPD are largely unknown. In this study, healthy and different stages of TPD-affected rubber trees were utilized to analyze TPD for the first time. We found that the changing tendencies of key latex physiological parameters were closely related to TPD occurrence and development. To reveal the molecular mechanisms underlying TPD, we sequenced and compared bark transcriptomes among healthy rubber tree, and TPD-affected ones at initial and advanced stages. In total, 8607 genes were identified as TPD-related genes in contrast to healthy rubber tree. According to gene expression profiles, the five samples were divided into three groups including healthy rubber tree, and TPD-affected rubber tree in the initial and advanced stages, which was consistent with the stages of TPD occurrence and development. Interestingly, only asmall proportionof the TPD-related genes were constantly down- or up-regulated with TPD occurrence and development. The TPD-related genes in KEGG pathways significantly enriched were closely associated with protein metabolism, cell division and differentiation, PCD, stress responses, terpene biosynthesis, and various metabolism processes. Moreover, overexpression of HbAPX2 identified as a TPD-related gene enhanced oxidative stress tolerance in S. cerevisiae. The typical symptoms of TPD, partial or complete dry zone (no latex flow) on tapping panel, might attribute to lower IPP available for rubber biosynthesis, and downregulation of the genes in post-IPP steps of rubber biosynthesis and the genes involved in latex flow. Our results not only provide new insights into molecular mechanisms underlying TPD occurrence and development but also contribute to developing effective measures to control TPD in rubber trees.

Construction and analysis of the tapping panel dryness-related lncRNA/circRNA-miRNA-mRNA ceRNA network in latex of Hevea brasiliensis

Tapping panel dryness (TPD) results in a severe reduction in latex yield in Hevea brasiliensis. However, the molecular regulatory mechanisms of TPD occurrence are still largely unclear. In this study, whole-transcriptome sequencing was carried out on latex from TPD and healthy trees. In total, 7078 long noncoding RNAs (lncRNAs), 3077 circular RNAs (circRNAs), 4956 miRNAs, and 25041 mRNAs were identified in latex, among which 435 lncRNAs, 68 circRNAs, 320 miRNAs, and 1574 mRNAs were differentially expressed in the latex of TPD trees. GO and KEGG analyses indicated that plant hormone signal transduction, MAPK signaling pathway, and ubiquitin-mediated proteolysis were the key pathways associated with TPD onset. Phytohormone profiling revealed significant changes in the contents of 28 hormonal compounds, among which ACC, ABA, IAA, GA, and JA contents were increased, while SA content was reduced in TPD latex, suggesting that hormone homeostasis is disrupted in TPD trees. Furthermore, we constructed a TPD-related competitive endogenous RNA (ceRNA) regulatory network of lncRNA/circRNA-miRNA-mRNA with 561 edges and 434 nodes (188 lncRNAs, 5 circRNAs, 191 miRNAs, and 50 mRNAs) and identified two hub lncRNAs (MSTRG.11908.1 and MSTRG.8791.1) and four hub miRNAs (hbr-miR156, miR156-x, miRf10477-y, and novel-m0452-3p). Notably, the lncRNA-miR156/157-SPL module containing three hubs probably plays a crucial role in TPD onset. The expression of network hubs and the lncRNA-miR156/157-SPL module were further validated by qRT-PCR. Our results reveal the TPD-associated ceRNA regulatory network of lncRNA/circRNA-miRNA-mRNA in latex and lay a foundation for further investigation of molecular regulatory mechanisms for TPD onset in H. brasiliensis.

Genome-wide identification, characterization, and functional analysis of lncRNAs in Hevea brasiliensis

Natural rubber (NR) is an essential industrial raw material widely used in our life. Hevea brasiliensis (Reyan7-33-97) is an economic plant producing natural rubber. Long non-coding RNAs (lncRNAs) are emerging as crucial regulators in numerous biological processes while the characterization and analysis of lncRNAs in Hevea brasiliensis are still largely unrevealed. We integrated the transcriptome datasets from multiple tissues to identify rubber lncRNAs. As a result, 12,029 lncRNAs were found and characterized with notably distinctive features such as longer exon, lower expression levels and GC content, and more tissue specificity in comparison with mRNAs. We discovered thousands of tissue-specific lncRNAs in rubber root, latex, bark, leaf, flower, and seed tissues. The functional enrichment result reveals that tissue-specific lncRNAs are potentially referred to particular functions of tissues, while the non-tissue specific is related to the translation and metabolic processes. In the present study, a comprehensive lncRNA dataset was identified and its functional profile in Hevea brasiliensis was explored, which provides an annotation resource and important clues to understand the biological functions of lncRNAs in Hevea brasiliensis.