Biology subjects

Peng, Y.

Publications and source records attributed to Peng, Y..

At least 127 records · Page 7Linked to original sources

bioRxiv2023

Spatially resolved molecular and cellular atlas of the mouse brain

A comprehensive atlas of genes, cell types, and their spatial distribution across a whole mammalian brain is fundamental for understanding function of the brain. Here, using snRNA-seq and Stereo-seq techniques, we generated a mouse brain atlas with spatial information for 308 cell clusters with single-cell resolution involving over 6 million cells as well as for 29,655 genes. We have identified new astrocyte clusters, and demonstrated that distinct cell clusters exhibit preference for cortical subregions. In addition, we identified 155 genes exhibiting regional specificity in the brainstem, and 513 long non-coding RNA exhibited regional specificity in the adult brain. Parcellation of brain regions based on spatial transcriptomic information showed large overlap with that by traditional method. Furthermore, we have uncovered 411 transcription factor regulons with spatiotemporal specificity during development. Thus, our study has discovered genes and regulon with spatiotemporal specificity, and provided a high-resolution spatial transcriptomic atlas of the mouse brain.

neuroscience↗

bioRxiv2023

Stomatal maturomics: identifying genes regulating guard cell maturation and function formation from single-cell transcriptomes

Stomata play critical roles in gas exchange and immunity to pathogens. While many genes regulating early stomatal development up to the production of young guard cells (GCs) have been described in Arabidopsis, much less is known about how young GCs develop into mature functional stomata. Here we performed a maturomics study on stomata, with "maturomics" defined as omics analysis of the maturation process of a tissue or organ. We developed an integrative scheme to analyze three public stomata-related single-cell RNA-seq datasets and identified a list of 586 genes that were specifically up-regulated in all three datasets during stomata maturation and function formation. The list, termed sc_586, is enriched with known regulators of stomatal maturation and functions. We selected two candidate G2-like TFs genes, MYS1 and MYS2, from the list to investigate their roles in stomata. Our results showed that these two genes redundantly regulate the size and hoop rigidity of mature GCs, and their double mutations caused mature GCs to have severe defects in regulating their stomatal apertures. Our analysis thus provides a valuable gene list for studying GC maturation and function formation.

plant biology↗

bioRxiv2023

Machine learning-based revelation of GABBR1 and IQGAP2 as candidate biomarkers of pulmonary arterial hypertension and their correlation with immune infiltration

Pulmonary arterial hypertension (PAH) is a pulmonary vascular disease with complex pathogenesis, and its intrinsic molecular mechanisms remain unclear. The aim of this study was to screen gene expression data from PAH patients, identify possible diagnostic indicators of PAH and to investigate the role of immune cell infiltration in the progression of PAH. This study made use of the gene expression dataset of PAH patients from the GEO database. R software was used to identify differentially expressed genes and perform functional enrichment analysis. The SVM-RFE, LASSO and Random Forest algorithms were then used to screen for PAH hub genes and validated in the peripheral blood and lung tissue datasets. Finally, the CIBERSORT algorithm was used to assess PAH lung tissue immune cell infiltration and to investigate the correlation between hub genes and immune cells. A total of 132 DEGs were screened in this study, which were centrally involved in the neuroreceptor-ligand activity pathway and associated with neurotransmission and hemoglobin complex. A total of 2 pivotal genes, GABBR1 and IQGAP2, were obtained by machine learning algorithms. The 2 pivotal genes had good predictive power as verified by ROC curves. Further immune infiltration analysis showed a decrease in T cells and an increase in the proportion of macrophages and dendritic cells in the lung tissue of PAH patients. The expression of GABBR1 was positively correlated with T cells and negatively correlated with macrophages and dendritic cells. In our study, we identified 2 potential diagnostic key genes: GABBR1 and IQGAP2. Our findings may provide a theoretical basis for the analysis of the underlying mechanisms of PAH and the development of targeted medicines. Highlight BoxO_ST_ABSKey findingsC_ST_ABSO_LIWe identified 2 potential key genes of PAH, GABBR1 and IQGAP2. C_LI What is known and what is new?O_LISympathetic hyperexcitability as well as immune responses are closely associated with the development of PAH, and pulmonary vascular hyperplasia is a key pathogenetic mechanism of PAH. C_LIO_LIImportant biomarkers related to neuroreceptors and immune responses in PAH lung tissue have not been identified, while our study identified GABBR1 as a key neuroreceptor and immune cell regulator in PAH. IQGAP2 could be a new hotspot direction for pulmonary vascular remodeling. C_LI What is the implication, and what should change now?O_LIGABBR1 and IQGAP2 may be potential therapeutic targets for PAH. The new horizon provided by this study will provide some reference for subsequent PAH studies. C_LI

bioinformatics↗

bioRxiv2023

Spatiotemporal Profiling Unveiling the Cellular Organization Patterns and Local Protumoral Immune Microenvironment Remodeling in Early Lung Adenocarcinoma Progression

Spatial cellular organization patterns (COPs) in tumor microenvironment influence the tumor progression and therapeutic response, however, little is known about the cellular composition and functional potential of these multicellular structures during lung adenocarcinoma progression. Here, we integrate spatial transcriptomics with single cell RNA sequencing to characterize the local tumor and immunological landscape of samples from 8 patients with early-stage lung adenocarcinoma at different pathological stages. We identified ten COPs that show distinct associations with local immune states and clinical outcomes, including survival and therapy response. The local infiltration levels of regulatory and dysfunctional immune cells are increased with pathological progression. Cell-to-cell interactions between malignant cells and tumor microenvironment (TME) cells were involved in protumor immune state remodeling. Finally, we detected a group of malignant cells that were specifically located at the tumor boundary, representing a more aggressive state, were involved in the invasion of invasive adenocarcinoma (IAC). Altogether, these results can improve our understanding of the local microenvironment characteristics that underlie LUAD progression and may facilitate the identification of drug targets to prevent invasive progression and biomarkers for diagnosis.

cell biology↗

bioRxiv2023

Virome analysis provides new insights into the pathogenesis mechanism and treatment of SLE disease

Systemic lupus erythematosus (SLE) is a multi-system autoimmune disease. Many viruses have been reported to be associated with SLE, but the diversity of the virome in SLE and the mechanisms underlying the interactions between viral infection and SLE are still unclear. This study identified ten human virus species from 826 RNA-Seq samples of human blood from 688 SLE patients and 138 healthy controls. SLE patients were found to have higher positive rates of viruses than healthy controls, although the virus abundances were low and comparable in both SLE patients and healthy controls. Analysis of the antiviral interferon-stimulated genes (ISGs) in samples showed higher ISG expression levels in virus-positive samples compared to virus-negative samples, which confirmed viral infections in virus-positive samples. Further analysis of differential expression genes between virus-positive and negative SLE patients showed that several genes that were up-regulated in SLE patients were further up-regulated after viral infections, and they were mainly enriched in immune response-related biological processes, suggesting an excess immune response in SLE patients after viral infections. Finally, three marker genes of the SLE severity, namely STAT1, STAT5A, and STAT5B, showed higher expression levels in virus-positive SLE patients compared to those in virus-negative SLE patients, suggesting that viral infections may aggravate the SLE disease. Overall, the study deepens our understanding of the association between viruses and SLE and provides new insights into prevention and control of the disease.

bioinformatics↗

bioRxiv2023

Data-driven optimization yielded a highly-efficient CRISPR/Cas9 system for gene editing in Arabidopsis

The CRISPR/Cas9 technology is widely used for plant gene editing. In Arabidopsis, the early CRISPR/Cas9 systems using constitutive promoters to drive Cas9 expression usually have low heritable mutation efficiencies in the T1 generation. Germ cell-specific or cell division-specific promoters, like EC1.2en-EC1.1p fusion, YAO and CDC45, have been used as alternatives to direct Cas9 expression, but the efficiency of getting nonchimeric mutations is still not high. To further improve gene editing efficiency, we used gene co-expression network analysis to identify NUC1 as a candidate promoter for driving Cas9 expression. NUC1 has expression patterns similar to YAO, but expresses at a much higher level. We constructed a CRISPR/Cas9 system pHY07 that uses the NUC1 promoter to drive Cas9 and carries the mCherry protein as a fluorescent marker for selecting transgenic seeds. Using this system to edit the GL2 gene, we obtained apparently nonchimeric mutations in 55% of the T1 transgenic plants. Among the Cas9-free T2 plants 99% harbored mutations that are stably inherited from the previous generation. Therefore, our system exhibited extremely high editing efficiency, and through fluorescent screening of transgenic seeds, it become easy to obtain Cas9-free and stable genetic mutants in the T2 generation.

plant biology↗

bioRxiv2023

Cep290 is cooperatively maintained at basal body by Cep131-Cep162 and Cby-Fam92 modules

Cilia play critical roles in cell signal transduction and organ development. Defects in cilia function result in a variety of genetic disorders. Cep290 is an evolutionarily conserved ciliopathy protein that bridges the ciliary membrane and axoneme at the basal body and plays critical roles in the initiation of ciliogenesis and TZ assembly. How Cep290 is maintained at basal body and whether axonemal and ciliary membrane localized cues converge to determine the localization of Cep290 remain unknown. Here, we report that the Cep131-Cep162 module near the axoneme and the Cby-Fam92 module close to the membrane synergistically control the basal body localization of Cep290 and the subsequent initiation of ciliogenesis. Concurrent deletion of any protein of the Cep131-Cep162 module and of the Cby-Fam92 module leads to a complete loss of Cep290 from basal body and blocks ciliogenesis at its initiation stage. Our results reveal that the first step of ciliogenesis strictly depend on cooperative and retroactive interactions between Cep131-Cep162, Cby-Fam92 and Cep290, which may contribute to the complex pathogenesis of Cep290-related ciliopathies.

cell biology↗

bioRxiv2023

The Unexpected Role of GCN2 Kinase Activation in Mediating Pulmonary Vascular Remodeling and Pulmonary Arterial Hypertension

BackgroundPulmonary arterial hypertension (PAH) is characterized by progressive increase of pulmonary vascular resistance and remodeling that result in right heart hypertrophy and failure. Published studies show that recessive mutations of EIF2AK4 gene (encoding GCN2, General control nonderepressibe 2 kinase) are linked to heritable pulmonary veno-occlusive disease (PVOD) in patients and EIF2AK4 mutations were also found in PAH patients although very rare. However, the role of GCN2 kinase in the pathogenesis of PAH remains unclear. MethodsEif2ak4-/- mice with genetic disruption of the kinase domain and GCN2 kinase inhibitor A-92 were employed in animal models of PH including chronic hypoxia-exposed mice and monocrotaline-challenged rats. Human lung endothelial cells (HLMVECs) were used for mechanistic studies. Endothelium-targeted nanoparticles were employed to deliver plasmid DNA to adult mice to knockout Eif2ak4 or overexpress Endothelin-1 (Edn1) selectively in ECs. ResultsHere we show that loss of GCN2 induced neither spontaneous PVOD nor PH in Eif2ak4-/- mice but inhibited hypoxia-induced PH evident by reduced right ventricular systolic pressure, right ventricle hypertrophy and pulmonary vascular remodeling. RNA sequencing analysis suggested Edn1 as the downstream target of GCN2. In cultured HLMVECs, GCN2 was phosphorylated and activated in response to hypoxia, mediating hypoxia-induced Edn1 expression via HIF-2. Restored Edn1 expression in ECs in Gcn2-deficient mice reversed the reduced phenotype of hypoxia-induced PH. Furthermore, loss of endothelial Eif2ak4 in mice attenuated hypoxia-induced PH. Monocrotaline-induced PH and pulmonary vascular remodeling in rats were inhibited by GCN2 inhibitor A-92 treatment. The clinical relevance of the observation was validated by GCN2 hyperphosphorylation indicative of activation in ECs of pulmonary vascular lesions of PAH patients. ConclusionThese studies demonstrate that GCN2 activation by hypoxia mediates pulmonary vascular remodeling and PAH through Edn1. Thus, targeting GCN2 signaling is a promising therapeutic strategy for treatment of PAH in patients without EIF2AK4 loss of function mutations.

physiology↗

bioRxiv2023

Broadening the scope: Multiple functional connectivity networks underlying threat and safety signaling

IntroductionThreat learning and extinction processes are thought to be foundational to anxiety and fear-related disorders. However, the study of these processes in the human brain has largely focused on a priori regions of interest, owing partly to the ease of translating between these regions in human and non-human animals. Moving beyond analyzing focal regions of interest to whole-brain dynamics during threat learning is essential for understanding the neuropathology of fear-related disorders in humans. Methods223 participants completed a 2-day Pavlovian threat conditioning paradigm while undergoing fMRI. Participants completed threat acquisition and extinction. Extinction recall was assessed 48 hours later. Using a data-driven group independent component analysis (ICA), we examined large-scale functional connectivity networks during each phase of threat conditioning. Connectivity networks were tested to see how they responded to conditional stimuli during early and late phases of threat acquisition and extinction and during early trials of extinction recall. ResultsA network overlapping with the default mode network involving hippocampus, vmPFC, and posterior cingulate was implicated in threat acquisition and extinction. Another network overlapping with the salience network involving dACC, mPFC, and inferior frontal gyrus was implicated in threat acquisition and extinction recall. Other networks overlapping with parts of the salience, somatomotor, visual, and fronto-parietal networks were involved in the acquisition or extinction of learned threat responses. ConclusionsThese findings help confirm previous investigations of specific brain regions in a model-free fashion and introduce new findings of spatially independent networks during threat and safety learning. Rather than being a single process in a core network of regions, threat learning involves multiple brain networks operating in parallel coordinating different functions at different timescales. Understanding the nature and interplay of these dynamics will be critical for comprehensive understanding of the multiple processes that may be at play in the neuropathology of anxiety and fear-related disorders.

neuroscience↗

bioRxiv2023

A vast repertoire of secondary metabolites influences community dynamics and biogeochemical processes in cold seeps

In deep sea cold seeps, diverse microbial communities thrive on the geological seepage of hydrocarbons and inorganic compounds. These chemosynthetically-driven communities are unique in composition, ecology, and biogeochemical activities compared to photosynthetically-driven ecosystems. However, their biosynthetic capabilities remain largely unexplored. Here, we analyzed 81 metagenomes, 33 metatranscriptomes, and seven metabolomes derived from nine globally distributed areas of cold seeps to investigate the secondary metabolites produced by cold seep microbiomes. Cold seep microbiomes encode diverse, abundant, and novel biosynthetic gene clusters (BGCs). Most BGCs are affiliated with understudied bacteria and archaea, including key mediators of methane and sulfur cycling, and multiple candidate phyla. The BGCs encode diverse antimicrobial compounds (e.g. NRPS, PKSs, RiPPs) that potentially shape community dynamics, as well as compounds predicted to influence biogeochemical cycling, such as phosphonates, iron-acquiring siderophores, nitrogenase-protecting glycolipids, and methyl-CoM reductase-modifying proteins. BGCs from key players in cold seeps are widely distributed and highly expressed, with their abundance and expression levels varying with different sediment depths. Numerous unique natural products were detected through untargeted sediment metabolomics, demonstrating a vast, unexplored chemical space and validating in situ expression of the BGCs in cold seep sediments. Overall, these results demonstrate cold seep sediments potentially serve as a reservoir of hidden natural products and provide insights into microbial adaptation in chemosynthetically-driven ecosystems.

microbiology↗

bioRxiv2023

Genetic Screen Identified Prmt5 as a Neuroprotection Target against Cerebral Ischemia

Epigenetic regulators present novel opportunities for both ischemic stroke research and therapeutic interventions. While previous work has implicated that they may provide neuroprotection by potentially influencing coordinated sets of genes and pathways, most of them remains largely uncharacterized in ischemic conditions. In this study, we used the oxygen-glucose deprivation (OGD) model in the immortalized mouse hippocampal neuronal cell line HT-22 and carried out an RNAi screen on epigenetic regulators. We identified Prmt5 as a novel negative regulator of neuronal cell survival after OGD, which presented a phenotype of translocation from the cytosol to the nucleus upon oxygen and energy depletion both in vitro and in vivo. Prmt5 bound to the chromatin and a large number of promoter regions to repress downstream gene expression. Silencing Prmt5 significantly dampened the OGD-induced changes for a large-scale of genes, and gene ontology analysis showed that Prmt5-target genes were highly enriched for Hedgehog signaling. Encouraged by the above observation, we treated mice with middle cerebral artery occlusion (MCAO) with the Prmt5 inhibitor EPZ015666 and found that Prmt5 inhibition sustain protection against neuronal death in vivo. Together, our findings revealed a novel epigenetic mechanism of Prmt5 in cerebral ischemia and uncovered a potential target for neuroprotection.

cell biology↗

bioRxiv2023

Predicting the impact of rare variants on RNA splicing in CAGI6

BackgroundVariants which disrupt splicing are a frequent cause of rare disease that have been under-ascertained clinically. Accurate and efficient methods to predict a variants impact on splicing are needed to interpret the growing number of variants of unknown significance (VUS) identified by exome and genome sequencing. Here we present the results of the CAGI6 Splicing VUS challenge, which invited predictions of the splicing impact of 56 variants ascertained clinically and functionally validated to determine splicing impact. ResultsThe performance of 12 prediction methods, along with SpliceAI and CADD, was compared on the 56 functionally validated variants. The maximum overall accuracy achieved was 82% from two different approaches, one weighting SpliceAI scores by minor allele frequency, and one applying the recently published Splicing Prediction Pipeline (SPiP). SPiP performed optimally in terms of sensitivity, while an ensemble method combining multiple prediction tools and information from databases exceeded all others for specificity. ConclusionsSeveral challenge methods equalled or exceeded the performance of SpliceAI, with ultimate choice of prediction method likely to depend on experimental or clinical aims. One quarter of the variants were incorrectly predicted by at least 50% of the methods, highlighting the need for further improvements to splicing prediction methods for successful clinical application.

bioinformatics↗

bioRxiv2023

VIGA: an one-stop tool for eukaryotic Virus Identification and Genome Assembly from next-generation-sequencing data

Identification of viruses and further assembly of viral genomes from the next-generation-sequencing (NGS) data are essential steps in virome studies. This study presented an one-stop tool named VIGA (available at https://github.com/viralInformatics/VIGA) for eukaryotic virus identification and genome assembly from NGS data. It was composed of four modules including identification, taxonomic annotation, assembly and novel virus discovery which integrated the homology-based method for virus identification and both the reference-based and de novo assemblers for accurate and effective assembly of virus genomes. Evaluation on multiple simulated and real virome datasets showed that VIGA assembled more complete virus genomes than its competitors on both the metatranscriptomic and metagenomic data, and also performed well in assembling virus genomes at the strain level. Finally, VIGA was used to investigate the virome in metatranscriptomic data from the Human Microbiome Project and revealed different composition and positive rate of viromes in diseases of Prediabetes, Crohns disease and Ulcerative colitis. Overall, VIGA would help much in identification and characterization of viromes in future studies.

bioinformatics↗

bioRxiv2023

Intermediate basal cell population in prostate homeostasis and cancer initiation

Many glandular epithelia are mainly composed of basal cells and luminal cells, including the prostate gland. Adult prostate basal and luminal cells are independently self-sustained by unipotent stem cells that can reactivate multipotency under prostate inflammation and carcinogenesis contexts. However, the defined basal stem cell populations responsible for prostate regeneration and their cell fates in prostate homeostasis, inflammation and carcinogenesis remain unclear. Using a genetic proliferation tracer (ProTracer) system, we found that basal cells exhibited extensive cell loss and proliferation during androgen-mediated prostate regression and regeneration, respectively. A rare intermediate basal cell population that expresses luminal cell markers (Nkx3.1 and Pbsn) (termed Basal-B) and a large basal cell population (termed Basal-A) were identified in mouse prostates by single-cell RNA sequencing. Basal-B cells exhibited a greater capacity for organoid formation and luminal cell differentiation in vitro. Genetic lineage tracing using dual recombinases showed that prostate homeostasis and regeneration are not driven by specific basal cell types. Fate-mapping results showed that Basal-B cells had a greater tendency to generate luminal cells under bacteria-induced prostate inflammation. Deletion of Pten in basal cells resulted in Basal-A-to-Basal-B-to-luminal transition and prostatic intraepithelial neoplasia. Moreover, the human Basal-B-cell population was significantly increased in human benign prostate hyperplasia and prostatic intraepithelial neoplasia samples compared with normal prostate samples. This study identifies intermediate Basal-B cells as a potential stem cell population and provides genetic evidence of prostate basal cell lineage plasticity under physiological and pathological contexts.

developmental biology↗

bioRxiv2023

Modulation of infraslow oscillation in the dentate gyrus during Non-REM sleep

Synchronous neuronal activity is organized into neuronal oscillations with various frequency and time domains across different brain areas and brain states. For example, hippocampal theta, gamma and sharp wave oscillations are critical for memory formation and communication between hippocampal subareas and the cortex. In this study, we investigated the neuronal activity of the dentate gyrus (DG) with optical imaging tools during sleep-wake cycles. We found that the activity of major glutamatergic cell populations in the DG is organized into infraslow oscillations (0.01 - 0.03 Hz) during NREM sleep. Although the DG is considered a sparsely active network during wakefulness, we found that 50% of granule cells and about 25% of mossy cells exhibit increased activity during NREM sleep, compared to that during wakefulness. Further experiments revealed that the infraslow oscillation in the DG was correlated with rhythmic serotonin release during sleep, which oscillates at the same frequency but in an opposite phase. Genetic manipulation of 5-HT receptors revealed that this neuromodulatory regulation is mediated by 5-HT1a receptors and the knockdown of these receptors leads to memory impairment. Together, our results provide novel mechanistic insights into how the 5-HT system can influence hippocampal activity patterns during sleep.

neuroscience↗

bioRxiv2023

Detection of new pioneer transcription factors as cell-type specific nucleosome binders

Wrapping of DNA into nucleosomes restricts accessibility to the DNA and may affect the recognition of binding motifs by transcription factors. A certain class of transcription factors, the pioneer transcription factors, can specifically recognize their DNA binding sites on nucleosomes, may initiate local chromatin opening and facilitate the binding of co-factors in a cell-type-specific manner. For the majority of human pioneer transcription factors, the locations of their binding sites, mechanisms of binding and regulation remain unknown. We have developed a computational method to predict the cell-type-specific ability of transcription factors to bind nucleosomes by integrating ChIP-seq, MNase-seq and DNase-seq data with details of nucleosome structure. We have demonstrated the ability of our approach in discriminating pioneer from canonical transcription factors and predicted new potential pioneer transcription factors in H1, K562, HepG2 and HeLa cell lines. Lastly, we systemically analyzed the interaction modes between various pioneer transcription factors and detected several clusters of distinctive binding sites on nucleosomal DNA.

bioinformatics↗

bioRxiv2023

Target-identification and mechanism-of-action studies of indole terpenoid mimics reveal that proper spindle microtubule assembly is essential for Cdh1-mediated proteolysis of CENP-A

Centromere protein A (CENP-A), a histone H3 variant specific to centromeres, is crucial for kinetochore positioning and chromosome segregation. However, its regulatory mechanism in human cells remains incompletely understood. We conducted a structure-activity relationship (SAR) study of the cell cycle-arresting indole terpenoid mimic JP18 and found two more potent analogues, (+)-6-Br-JP18 and (+)-6-Cl-JP18. Tubulin was identified as a potential cellular target of these halogenated analogues by using the drug affinity responsive target stability (DARTS) based method. X-ray crystallography analysis revealed that both molecules bind to the colchicine-binding site of {beta}-tubulin. Furthermore, we discovered that treatment of human cells with microtubule-targeting agents (MTAs), including these two compounds, led to CENP-A accumulation by destabilizing Cdh1, a co-activator of the APC/C E3 ubiquitin ligase. Our study establishes a link between microtubule dynamics and CENP-A accumulation using small-molecule tools and highlights the role of Cdh1 in CENP-A proteolysis.

cell biology↗

bioRxiv2023

Nano-silver and forskolin regulate rice seed germination mediated by OsPIP2-1 and α-amylase

As timely germination of seeds is crucial to crop yield and quality, the low germination percentage for direct seeding in rice and pre-harvest sprouting during late stage of maturity have extremely adverse effects on rice production. Herein, we found that nano-silver inhibited rice seed germination while forskolin promoted this process. Germination assay showed that 20 M AgNPs and 0.5 M forskolin could be the optimal concentrations regulating rice seed germination. At the molecular level, an aquaporin gene, OsPIP2-1, was most highly expressed among those homologous genes during rice seed germination, and was decreased by AgNPs and increased by forskolin. Meanwhile, the activity of -amylase and its genes expression were also inhibited by AgNPs and promoted by forskolin. Next, the germination percentage of OsPIP2-1 overexpressing seeds was significantly higher than that of wild-type, and that of OsPIP2-1 knockout seeds was dramatically reduced. Furthermore, compared with the wild type, -amylase activity and the transcription of OsAmy3C and OsAmy3E were increased in OsPIP2-1 overexpressing seeds and decreased in OsPIP2-1 knockout seeds, indicating that OsPIP2-1 positively regulates -amylase. Interestingly, seed germination, -amylase activity and its genes expression in OsPIP2-1 overexpressed and knockdout lines could also be inhibited by nano-silver and promoted by forskolin. In conclusion, we propose that nano-silver and forskolin regulated seed germination by modulating the expression of OsPIP2-1 and thus -amylase. Our results may bring new application of nano-silver and forskolin in rice cultivation.

plant biology↗