Biology subjects

Yu, Q.

Publications and source records attributed to Yu, Q..

At least 127 records · Page 7Linked to original sources

bioRxiv2022

Cellular senescence modulates progenitor cell expansion during axolotl limb regeneration

Axolotl limb regeneration is accompanied by the transient induction of cellular senescence within the blastema, the structure which nucleates regeneration. The precise role of this blastemal senescent cell (bSC) population, however, remains unknown. Here, through a combination of gain- and loss-of-function assays, we elucidate the functions and molecular features of cellular senescence in vivo. We demonstrate that cellular senescence plays a positive role during axolotl regeneration, by creating a pro-proliferative niche that supports progenitor cell expansion and blastema outgrowth. Senescent cells impact on their microenvironment via Wnt pathway modulation. Further, we uncover a link between Wnt signalling and senescence induction, and propose that bSC-derived Wnt signals facilitate the proliferation of neighbouring cells in part by preventing their induction into senescence. This work defines the roles of cellular senescence in regeneration of complex structures.

developmental biology↗

bioRxiv2022

Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions

Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations. These are all among the core problems in the RNA field. With the rapid growth of sequencing technology, we have accumulated a massive amount of unannotated RNA sequences. On the other hand, expensive experimental observatory results in only limited numbers of annotated data and 3D structures. Hence, it is still challenging to design computational methods for predicting their structures and functions. The lack of annotated data and systematic study causes inferior performance. To resolve the issue, we propose a novel RNA foundation model (RNA-FM) to take advantage of all the 23 million non-coding RNA sequences through self-supervised learning. Within this approach, we discover that the pre-trained RNA-FM could infer sequential and evolutionary information of non-coding RNAs without using any labels. Furthermore, we demonstrate RNA-FMs effectiveness by applying it to the downstream secondary/3D structure prediction, SARS-CoV-2 genome structure and evolution prediction, protein-RNA binding preference modeling, and gene expression regulation modeling. The comprehensive experiments show that the proposed method improves the RNA structural and functional modelling results significantly and consistently. Despite only being trained with unlabelled data, RNA-FM can serve as the foundational model for the field.

bioinformatics↗

bioRxiv2022

Half-calcified Calmodulin Promotes Basal Activity and Inactivation of the Calcium Channel CaV1.2.

The L-type Ca2+ channel CaV1.2 controls gene expression, cardiac contraction, and neuronal activity. Calmodulin (CaM) governs CaV1.2 open probability (Po) and Ca2+-dependent inactivation (CDI) but the mechanisms remain unclear. We identified a half Ca2+-saturated CaM species (Ca2/CaM) with Ca2+ bound solely at the third and fourth EF-hands (EF3 and EF4) under resting Ca2+ concentrations (50-100 nM) that constitutively pre-associates with CaV1.2 to promote Po and CDI. We present an NMR structure of a complex between the CaV1.2 IQ motif (residues 1644-1665) and Ca2/CaM12, a calmodulin mutant in which Ca2+ binding to EF1 and EF2 is completely disabled. The CaM12 N-lobe does not interact with the IQ motif. The CaM12 C-lobe bound two Ca2+ ions and formed close contacts with IQ residues I1654 and Y1657. I1654A and Y1657D mutations impaired CaM binding, CDI, and Po, as did disabling Ca2+ binding to EF3 and EF4 in the CaM34 mutant when compared to wildtype CaM. Accordingly, a previously unappreciated Ca2/CaM species promotes CaV1.2 Po and CDI identifying Ca2/CaM as an important mediator of Ca signaling.

biochemistry↗

bioRxiv2022

Endothelial TET2 Regulates Cardiac Remodeling by Modifying Endothelial-to-Mesenchymal Transition

DNA methylation modification has been proved to play an important role in heart diseases. In this study, the role of Ten-Eleven Translocation-2 (TET2), which is a key demethylation enzyme, is investigated in cardiac remodeling. TET2 is abundant in endothelial cells but decreased in hypertrophic hearts. TET2 knockdown in endothelial cells triggers endothelial-to-mesenchymal transition (EndMT), while overexpression of TET2 inhibits the EndMT. In vivo, Cdh5-CreERT2/TET2flox/flox; Rosa26-mTmG+/- mice are developed and undergo transverse aortic constriction (TAC) subsequently to induce pathological cardiac hypertrophy model. Hearts of Cdh5-CreERT2/TET2flox/flox mice show more severe hypertrophy and fibrosis than controls in the TAC model. Furthermore, EGLN3 is identified to participate in EndMT as the downstream target of TET2 by using RNA sequencing and whole-genome bisulfite sequencing (WGBS). Finally, vitamin C, which can mimic TET2 restoration, is found to partially improve cardiac function and inhibit myocardial fibrosis. These insights into how TET2 alleviates cardiac fibrosis may open new avenues for treating cardiac remodeling in the future.

genetics↗

bioRxiv2022

A Development-Inspired Niche for Homeostatic Human Mini-Intestines

Epithelial organoids derived from intestinal tissue, also referred to as mini-intestines or mini-guts, recapitulate many aspects of the organ in vitro and can be used for biological discovery, personalized medicine, and drug development. Murine intestinal organoids represent a homeostatic system that balances stem cell maintenance within a crypt-like compartment and differentiation within a villus-like compartment1-3. However, this homeostatic balance and spatial organization has not been achieved with human intestinal organoids4. Here, we leverage single cell RNA-seq data (scRNA-seq) and high-resolution imaging to interrogate the developing human intestinal stem cell niche. We identified an EGF-family member, EPIREGULIN (EREG), as uniquely expressed in the developing crypt, and found that EREG can take the place of EGF as an in vitro niche factor. Unlike EGF, which leads to growth of thin-walled cystic organoids, EREG-organoids are spatially resolved into budded and proliferative crypt domains and a differentiated villus-like central lumen. Transcriptomics and epigenomics showed that EREG-organoids are globally similar to the native intestine while EGF-organoids have an altered chromatin landscape, downregulate the master intestinal transcription factor CDX25,6, and ectopically express stomach genes.

developmental biology↗

bioRxiv2022

FBXO11 deficiency in mice impairs lung development and aggravates cigarette smoke-induced airway fibrosis

Small airway fibrosis is a common pathology of chronic obstructive pulmonary disease (COPD) and contributes to airflow obstruction. However, the underlying fibrogenic mechanism is poorly understood. Epithelial-mesenchymal transition (EMT) has been proposed as a driver of fibrosis. EMT occurs in the airways of COPD patients and smokers, but it remains elusive whether EMT may contribute to airway fibrosis. We previously reported that FBXO11 is a critical suppressor of EMT and Fbxo11 deficiency in mice causes neonatal lethality and EMT in epidermis. Here, we found that Fbxo11-deficient mouse embryonic lungs showed impaired epithelial differentiation, excess fibroblast cells surrounding the airways, and thickened interstitial mesenchyme. We further generated conditional mutant mice to ablate Fbxo11 selectively in the club airway epithelial cells in adult mice, which induced partial EMT in the airways. To determine the effect of EMT on airway fibrosis, Fbxo11 conditional mutant mice were exposed to cigarette smoke. Airway-specific loss of Fbxo11 markedly enhanced smoking-induced airway fibrotic remodeling and collagen deposition. Taken together, our study suggests that EMT in the airway epithelium exacerbates cigarette smoke-induced airway fibrosis.

cell biology↗

bioRxiv2022

The 5-hydroxytryptaminergic Neurons Locating in the Dorsal Raphe Nucleus and Different Receptors of 5-HT Were Implicated in Mediating the Arousal from Sevoflurane Anesthesia

In order to explore the mechanism of general anesthesia emergence, based on the common clinical phenomenon-delayed emergence, we explore the role of 5-hydroxytryptamine (5-HT) neurons in the dorsal raphe nucleus in promoting awakening from sevoflurane anesthesia in mice model. In this study, C57BL/6J male mice were selected to specifically activate or inhibit 5-HT neurons in the dorsal raphe nucleus (DRN) and different 5-HT receptors by intraperitoneal, lateral ventricle, intranuclear or DRN injection of agonists/antagonists and optogenetics during the sevoflurane anesthesia to record and observe the anesthesia induction and emergence time of mice. Through intraventricular infusion and intranuclear microinjection of 5-HT and the agonists or antagonists of different 5-HT receptors, our data showed that 5-HT and 5-HT1A and 2A/C receptors, especially 5-HT1A receptor, are involved in the regulation of delayed awakening mediated by DRN 5-HT neurons. This can provide a reliable theoretical basis as well as potential targets for clinical intervention to prevent delayed emergence and some postoperative risks. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/492958v2_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@ff4f7forg.highwire.dtl.DTLVardef@1bc56dborg.highwire.dtl.DTLVardef@1ea5737org.highwire.dtl.DTLVardef@41548_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2022

Ratiometric NAD+ sensors reveal subcellular NAD+ modulators

Mapping NAD+ dynamics in live cells and human are essential for translating NAD+ interventions into effective therapies. Yet genetically encoded NAD+ sensors with better specificity and pH-resistance are still needed for cost-effective monitoring of subcellular and clinical NAD+. We introduce multicolor, resonance energy transfer-based NAD+ sensors that cover nano- to milli-molar concentration ranges for clinical NAD+ measurement and subcellular NAD+ visualization. The sensors captured the blood NAD+ increase induced by NMN supplementation and revealed the distinct subcellular effects of NAD+ supplements and modulators. Then, the sensors enabled high-throughput screenings for mitochondrial and nucleic NAD+ modulators and identified -GPC, a cognition-related metabolite, induces NAD+ redistribution from mitochondria to nucleus relative to the total adenine nucleotides, which was confirmed by NAD+ FRET microscopy.

bioengineering↗

bioRxiv2022

Spatiotemporal landscape of SARS-CoV-2 pulmonary infection reveals Slamf9+Spp1+ macrophages promoting viral clearance and inflammation resolution

While SARS-CoV-2 pathogenesis has been intensively investigated, the host mechanisms of viral clearance and inflammation resolution are still elusive because of the ethical limitation of human studies based on COVID-19 convalescents. Here we infected Syrian hamsters by authentic SARS-CoV-2 and built an ideal model to simulate the natural recovery process of SARS-CoV-2 infection from severe pneumonia1,2. We developed and applied a spatial transcriptomic sequencing technique with subcellular resolution and tissue-scale extensibility, i.e., Stereo-seq3, together with single-cell RNA sequencing (scRNA-seq), to the entire lung lobes of 45 hamsters and obtained an elaborate map of the pulmonary spatiotemporal changes from acute infection, severe pneumonia to the late viral clearance and inflammation resolution. While SARS-CoV-2 infection caused massive damages to the hamster lungs, including naive T cell infection and deaths related to lymphopenia, we identified a group of monocyte-derived proliferating Slamf9+Spp1+ macrophages, which were SARS-CoV-2 infection-inducible and cell death-resistant, recruiting neutrophils to clear viruses together. After viral clearance, the Slamf9+Spp1+ macrophages differentiated into Trem2+ and Fbp1+ macrophages, both responsible for inflammation resolution and replenishment of alveolar macrophages. The existence of this specific macrophage subpopulation and its descendants were validated by RNAscope in hamsters, immunofluorescence in hACE2 mice, and public human autopsy scRNA-seq data of COVID-19 patients. The spatiotemporal landscape of SARS-CoV-2 infection in hamster lungs and the identification of Slamf9+Spp1+ macrophages that is pivotal to viral clearance and inflammation resolution are important to better understand the critical molecular and cellular players of COVID-19 host defense and also develop potential interventions of COVID-19 immunopathology.

immunology↗

bioRxiv2022

Early Endosome Capture Proteomics and its Application to Amyloid Precursor Protein Intramembrane Processing by β and γ-Secretases

Degradation and recycling of plasma membrane-localized proteins occurs via the endolysosomal system, wherein endosomes bud into the cytosol from the plasma membrane and subsequently mature into degradative lysosomal compartments. The endolysosomal system also participates in intracellular membrane protein trafficking, signaling, and protein degradation via autophagy. Our understanding of the endolysosomal system has been significantly advanced through the development of methods for selective capture of lysosomes (termed Lyso-IP), but methods for analogous isolation of early intermediates in the endolysosomal system are lacking. Here, we develop an approach for rapid isolation of early/sorting endosomes through affinity capture of the early endosome-associated protein EEA1 (Endo-IP) and provide proteomic and lipidomic snapshots of early endosomes in action. In addition to resident endosomal components, we identify numerous recycling, regulatory and membrane fusion complexes as well as candidate cargo, providing a proteomic landscape of early/sorting endosomes that we distinguished from lysosomes via comparative proteomics. The approach allows capture of internalized transferrin within minutes of its addition to cells, indicating the utility of the approach for dynamic analysis of early/sorting endosomes. Among the endocytic cargo identified by Endo-IP was the amyloid precursor protein (APP) genetically linked with Alzheimers disease. Processing of APP to amyloidogenic A{beta} peptides by {beta}- and {gamma}-Secretases can occur within the endolysosomal system among other compartments, but methods for spatial quantification of A{beta} products in individual organelles are lacking. We combined Endo- and Lyso-IP with targeted proteomics to provide a spatial digital snapshot of A{beta} products. This analysis revealed that products of A{beta} processing by {beta}- and {gamma}-Secretases, and alterations in the specificity of cleavage by small molecule {gamma}-Secretase modulators, can be quantified in both early/sorting endosomes and lysosomes. We anticipate that the Endo-IP approach will facilitate systematic interrogation of the many processes that are coordinated on early endosomes.

cell biology↗

bioRxiv2022

Telomerase-independent maintenance of telomere length in a vertebrate

Telomere shortening places a key limitation on cell proliferation1. In all vertebrates explored to date, this limitation is overcome by telomerase-dependent telomere extension. Failure to maintain telomere length results in premature ageing and functional impairments in highly replicative cell populations as telomeres erode2. Alternative lengthening of telomeres (ALT), a telomerase-independent mechanism, compensates for telomere loss in a subset of human cancer cell lines 2. Here, we demonstrate that the highly regenerative newt Pleurodeles waltl lacks telomerase activity, contains telomeres distinct from all known vertebrates in both sequence and structure, and deploys ALT for physiological telomere maintenance. This constitutes the first report of telomerase-independent resolution of the end-replication problem at the whole-organism level within Chordata. One-Sentence SummaryP. waltl telomere biology is distinct amongst vertebrates and uses ALT at the whole-organism level.

molecular biology↗

bioRxiv2022

Global Spatial Transcriptome of Macaque Brain at Single-Cell Resolution

Global profile of gene expression at single-cell resolution remains to be determined for primates. Using a recently developed technology ("Stereo-seq"), we have obtained a comprehensive single-cell spatial transcriptome map at the whole-brain level for cynomolgus monkeys, with [~]600 genes per cell for 10 m-thick coronal sections (up to 15 cm2 in size). Large-scale single-nucleus RNA-seq analysis for [~]1 million cells helped to identify cell types corresponding to Stereo-seq gene expression profiles, providing a 3-D cell type atlas of the monkey brain. Quantitative analysis of Stereo-seq data revealed molecular fingerprints that mark distinct neocortical layers and subregions, as well as domains within subcortical structures including hippocampus, thalamus, striatum, cerebellum, hypothalamus and claustrum. Striking whole-brain topography and coordinated patterns were found in the expression of genes encoding receptors and transporters for neurotransmitters and neuromodulators. These results pave the way for cellular and molecular understanding of organizing principles of the primate brain.

cell biology↗

bioRxiv2022

Multimodal spatiotemporal phenotyping of human organoid development

Organoids generated from human pluripotent stem cells (PSCs) provide experimental systems to study development and disease. However, we lack quantitative spatiotemporal descriptions of organoid development that incorporate measurements across different molecular modalities. Here we focus on the retina and use a single-cell multimodal approach to reconstruct human retinal organoid development. We establish an experimental and computational pipeline to generate multiplexed spatial protein maps over a retinal organoid time course and primary adult human retina, registering protein expression features at the population, cellular, and subcellular levels. We develop an analytical toolkit to segment nuclei, identify local and global tissue units, infer morphology trajectories, and analyze cell neighborhoods from multiplexed imaging data. We use this toolkit to visualize progenitor and neuron location, the spatial arrangements of extracellular and subcellular components, and global patterning in each organoid and primary tissue. In addition, we generate a single-cell transcriptome and chromatin accessibility time course dataset and infer a gene regulatory network underlying organoid development. We then integrate genomic data with spatially segmented nuclei into a multi-modal atlas enabling virtual exploration of retinal organoid development. We visualize molecular, cellular, and regulatory dynamics during organoid lamination, and identify regulons associated with neuronal differentiation and maintenance. We use the integrated atlas to explore retinal ganglion cell (RGC) spatial neighborhoods, highlighting pathways involved in RGC cell death. Finally, we show that mosaic CRISPR/Cas genetic perturbations in retinal organoids provide insight into cell fate regulation. Altogether, our work is a major advance toward a virtual human retinal organoid, and provides new directions for how to approach disorders of the visual system. More broadly, our approaches can be adapted to many organoid systems.

systems biology↗

bioRxiv2022

Reconstructing cell interactions and state trajectories in pancreatic cancer stromal tumoroids

Interlineage communication within a cancer microenvironment can augment cancer cell behaviour and impact response to therapy. Patient-derived cancer organoids provide an opportunity to explore cancer cell biology, however it is a major challenge to generate a complex cancer microenvironment in vitro. Here, we established a stromal tumoroid culture system modeling pancreatic ductal adenocarcinoma (PDAC) that reconstitutes multilineage interactions between cancer, endothelial, and fibroblast cells and recapitulates several aspects of primary tumors. Whole-mount immunohistochemistry on cleared tumoroids reveals organized vessel, desmoplastic fibroblast, and glandular cancer cell phenotypes that emerge over time. Time-course scRNA-seq measurements show that tumoroid formation activates fibroblasts, altering the extracellular matrix (ECM) composition and inducing cancer cell signal-response signatures and metabolic state change. Comparison between tumoroids with normal or cancer associated fibroblasts (CAFs) reveals different ECM compositions, as well as differential effects on cancer cell behaviors and metabolism. We identify Syndecan 1 (SDC1) and Peroxisome proliferator-activated receptor gamma (PPARG) as receptor and metabolic nodes involved in cancer cell response to CAF signals, and blocking SDC1 disrupts cancer cell growth within the tumoroid. Tumoroids from multiple PDAC patients revealed co-existence of subpopulations associated with classical and basal phenotypes, and CAF-induced migration behaviors emerged in certain patient tumoroids. Comparisons between patient tumoroids revealed a multigene migration signature that develops over time reflecting a stress response mechanism that correlates with worse clinical outcome. Altogether, stromal tumoroids can be used to explore dynamic and reciprocal interactions between cancer, CAF and endothelial cell states, and our data provides new inroads into the discovery of personalized pancreatic cancer therapies.

cancer biology↗

bioRxiv2022

A chromosome-level phased Citrus sinensis genome facilitates understanding Huanglongbing tolerance mechanisms at the allelic level in an irradiation induced mutant

Sweet orange (SWO) originated from introgressive hybridization of pummelo and mandarin resulting in a highly heterozygous genome. Here, we assembled a chromosome-level phased Valencia SWO (DVS) genome with [~]98.5% completeness, high accuracy (QV=50.6), and the highest annotation BUSCO completeness (99.2%) thus far in citrus. DVS harbors a high level of allelic variances and enables study of allelic somatic structural mutations and corresponding allelic expression alteration in two SWO mutants, one with high Huanglongbing tolerance (T19) and one more sensitive (T78). In T78, a large deletion on the pummelo-origin chr8 causes regional allelic expression absence. In T19, seven upregulated genes are located at one terminal of a translocated segment, including three genes related to heat shock protein (HSP) regulation. Furthermore, 68 of 133 HSPs are significantly upregulated in T19, which may be related to its enhanced HLB tolerance by preventing phloem necrosis. The DVS will advance allelic level studies in citrus.

plant biology↗

bioRxiv2022

Enhancement of central norepinephrinergic neurotransmission contributes to inhibition of seizure-induced respiratory arrest by targeting the beta-1 adrenergic receptor (β1-AR) locating in the cardiomyocytes in the DBA/1 mouse SUDEP model

Sudden unexpected death of epilepsy (SUDEP) is the leading cause of of death in patients with epilepsy. Due to the complicated pathogenesis of SUDEP, however, the exact mechanism of SUDEP remains elusive. Currently, although it is recognized that the seizure-induced respiratory arrest (S-IRA) may be a main cause for SUDEP, other factors resulting in SUDEP can not be excluded e.g arrhythmias. Our previous findings indicated that the incidence of S-IRA and SUDEP evoked by acoustic stimulation or pentetrazol (PTZ) injection was significantly reduced by atomoxetine, a norepinephrine reuptake inhibitor (NRI), suggesting that noradrenergic neurotransmission modulates S-IRA and SUDEP. Given that norepinephrine acts on the target to modulate respiratory and circulation function by targeting adrenergic receptor and beta (a-AR and {beta}-AR) and the arrhythmias can be contributed to SUDEP. Meanwhile, to further test whether cardiac factors are implicated in S-IRA and SUDEP, we choose esmolol hydrochloride, a selective antagonist of {beta}1-AR to test it in our models. Our findings demonstrated that the lower incidence of S-IRA and SUDEP evoked by acoustic stimulation or PTZ injection in DBA/1 mice by administration with atomoxetine was significantly reversed by intraperitoneal (IP) of esmolol hydrochloride. Importantly, the data of electrocardiogram (ECG) showed that the cardiac arrhythmia including the ventricular tachycardia, ventricular premature beat and atrioventricular block can be evoked by acoustic stimulation or PTZ injection in our model. Administration of atomoxetine significantly reduced these arrhythmias and the incidence of S-IRA and SUDEP in our models. However, administration of esmolol hydrochloride with the dose without affecting ECG and mortality changing of DBA/1 significantly blocking the protective effects of atomoxetine on S-IRA and SUDEP in our models. Thus, the dysfunction of respiratory and circulation may be implicated in the pathogenesis of S-IRA and SUDEP. Enhancing the central norepinephrinergic neurotransmission in the brain contributes to inhibition of seizure-induced respiratory arrest by targeting {beta}1-AR locating in the cardiomyocytes. Furthermore, the suppression effects of S-IRA by atomoxetine was significantly reversed by the norepinephrine neuronal degradation in the LC in our models. Furthermore, PTZ-induced Tyrosine hydroxylase (TH), the rate-limiting enzyme in the synthesis of norepinephrine, activity but not TH content from the serum of left ventricle and the whole heart tissue was reduced following the S-IRA. Our findings will show a new light on decoding the pathogenesis of SUDEP concerning the pathway between the LC and heart.

neuroscience↗

bioRxiv2021

HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides

Identifying the targets of an antimicrobial peptide is a fundamental step in studying the innate immune response and combating antibiotic resistance, and more broadly, precision medicine and public health. There have been extensive studies on the statistical and computational approaches to identify (i) whether a peptide is an antimicrobial peptide (AMP) or a non-AMP and (ii) which targets are these sequences effective to (Gram-positive, Gram-negative, etc.). Despite the existing deep learning methods on this problem, most of them are unable to handle the small AMP classes (anti-insect, anti-parasite, etc.). And more importantly, some AMPs can have multiple targets, which the previous methods fail to consider. In this study, we build a diverse and comprehensive multi-label protein sequence database by collecting and cleaning amino acids from various AMP databases. To generate efficient representations and features for the small classes dataset, we take advantage of a protein language model trained on 250 million protein sequences. Based on that, we develop an end-to-end hierarchical multi-label deep forest framework, HMD-AMP, to annotate AMP comprehensively. After identifying an AMP, it will further predict what targets the AMP can effectively kill from eleven available classes. Extensive experiments suggest that our framework outperforms state-of-the-art models in both the binary classification task and the multi-label classification task, especially on the minor classes. Compared with the previous deep learning methods, our method improves the performance on macro-AUROC by 11%. The model is robust against reduced features and small perturbations and produces promising results. We believe HMD-AMP will both contribute to the future wet-lab investigations of the innate structural properties of different antimicrobial peptides and build promising empirical underpinnings for precise medicine with antibiotics.

bioinformatics↗

bioRxiv2021

Identification and Characterization of Long Non-Coding RNA in Tomato Roots under Salt Stress

As one of the most important vegetable crops in the world, the production of tomatoes was restricted by salt stress. Therefore, it is of great interest to analyze the salt stress tolerance genes. As the non-coding RNAs (ncRNAs) with a length of more than 200 nucleotides, long non-coding RNAs (lncRNAs) lack the ability of protein-coding, but they can play crucial roles in plant development and response to abiotic stresses by regulating gene expression. Nevertheless, there are few studies on the roles of salt-induced lncRNAs in tomatoes. Therefore, we selected wild tomato Solanum pennellii (S. pennellii) and cultivated tomato M82 to be materials. By high-throughput sequencing, 1044 putative lncRNAs were identified here. Among them, 154 and 137 lncRNAs were differentially expressed in M82 and S. pennellii, respectively. Through functional analysis of target genes of differentially expressed lncRNAs (DE-lncRNAs), some genes were found to respond positively to salt stress by participating in Abscisic Acid (ABA) signaling pathway, brassinosteroid (BR) signaling pathway, ethylene (ETH) signaling pathway and anti-oxidation process. We also construct a salt-induced lncRNA-mRNA co-expression network to dissect the putative mechanisms of high salt tolerance in S. pennellii. We analyze the function of salt-induced lncRNAs in tomato roots at the genome-wide levels for the first time. These results will contribute to understanding the molecular mechanisms of salt tolerance in tomatoes from the perspective of lncRNAs.

bioinformatics↗