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Biology subjects

Li, T.

Publications and source records attributed to Li, T..

At least 253 records · Page 14Linked to original sources

Multi-step engineered adeno-associated virus enables whole-brain mRNA delivery

Adeno-associated viruses (AAVs) are commonly used vectors for DNA delivery in gene therapy. Here we developed a system that enables the AAV shell to package mRNAs by multi-step introduction of RNA-packaging components and modification of AAV Rep proteins. The resultant mRNA-carrying AAVs (RAAVs) retained most properties of conventional AAVs, including capsid composition, virus morphology, and tissue tropism. These RAAVs could mediate mRNA transfer into target cells and tissues, leading to transient expression of the functional protein. Importantly, intravenously injected RAAVs efficiently crossed the blood-brain barrier (BBB) and infected the whole mouse brain. Thus, the DNA viral vector could be modified for RNA delivery, and our RAAV represents the first highly efficient BBB-crossing mRNA delivery system that could be used for therapeutic purposes via whole-brain infection.

bioengineering↗

stVCR: Reconstructing spatio-temporal dynamics of cell development using optimal transport

Time-series spatial transcriptome data with single-cell resolution provide an opportunity to study cell differentiation, proliferation and migration in physical space over time. Due to the destructive nature of sequencing, reconstruction of spatiotemporal dynamics from data remains challenging. Especially, the inference of migration in physical space remains a difficult task, as samples obtained at different temporal snapshots might not be in the same coordinate system due to the difference of biological replicates. Here we developed stVCR, a generative deep learning model, which integrates the dynamical optimal transport (OT) with the unbalanced setting, the density matching invariant to rigid body transformations as well as priors to model known biology and preserve spatial structure. stVCR achieves the end-to-end simultaneous reconstruction of continuous cell differentiation, proliferation, physical space migration, and spatial coordinates alignment from spatial transcriptome snapshots. In addition, stVCR allows the interpretable study of complex interactions between cell phenotype transition, spatial migration and proliferation. Through benchmarking on both simulation data and real datasets, we validated the effectiveness and robustness of stVCR and demonstrated its advantages over static OT or linear interpolation methods. We applied stVCR to dissect spatiotemporal dynamics underlying axolotl brain regeneration and 3D Drosophila embryo development.

bioinformatics↗

Urea amidolyase as the enzyme for urea utilization in algae: functional display in Chlamydomonas reinhardtii and evolution in algae

Urea is a crucial nitrogen nutrient source for algae with the potential to stimulate harmful algal blooms, but the molecular machinery underpinning urea uptake and assimilation by algae is not fully understood. Urease (URE) is commonly regarded as the responsible enzyme, but the urea amidolyase (UAD) system, albeit known to exist, has hardly been studied. Here, the phylogenetic distribution, expression patterns, and functional roles of UAD system are examined, which comprises subunits DUR1, DUR2, and DUR3. We find a widespread occurrence of UAD, spanning four major phytoplankton lineages, and potentially independent evolution of URE and lineage-specific loss. Besides, a stronger regulation of UAD by environmental nitrogen concentrations compared to URE is uncovered in both global ocean and local dinoflagellate-dominant bloom events. CRISPR-based mutation in Chlamydomonas reinhardtii shows that subunit DUR2 is essential for urea utilization. DUR2 inactivation led to completely growth restriction and upregulation of DUR1 and DUR3A, suggesting its functional interaction with them. In contrast, DUR3B inactivation only partially halted urea uptake and cell growth but significantly reduced gene expression across the entire UAD system. These findings not only reveal the crucial role of DUR2 in urea utilization in C. reinhardtii and potentially in many other algae, but also suggest DUR2 to be a more suitable indicator of urea utilization than urease, and underscore the importance to consider both URE and UAD enzyme systems when urea utilization by algae is assessed.

ecology↗

Uncovering the roles of the scaffolding protein CsoS2 in mediating the assembly and shape of the α-carboxysome shell

Carboxysomes are proteinaceous organelles featuring icosahedral protein shells that enclose the carbon-fixing enzymes, Rubisco, alone with carbonic anhydrase. The intrinsically disordered scaffolding protein CsoS2 plays a vital role in the construction of -carboxysomes through bridging the shell and cargo enzymes. The N-terminal domain of CsoS2 binds Rubisco and facilitates Rubisco packaging within the -carboxysome, whereas the C-terminal domain of CsoS2 (CsoS2-C) anchors to the shell and promotes shell assembly. However, the role of the middle region of CsoS2 (CsoS2-M) has remained elusive. Here, we conducted indepth examinations on the function of CsoS2-M in the assembly of the -carboxysome shell by generating a series of recombinant shell variants in the absence of cargos. Our results reveal that CsoS2-M assists CsoS2-C in the assembly of the -carboxysome shell and plays an important role in shaping the -carboxysome shell through enhancing the association of shell proteins on both the facet-facet interfaces and flat shell facets. Moreover, CsoS2-M is responsible for recruiting the C-terminal truncated isoform of CsoS2, CsoS2A, into -carboxysomes, which is crucial for Rubisco encapsulation and packaging. This study not only deepens our knowledge of how the carboxysome shell is constructed and regulated but also lays the groundwork for engineering and repurposing carboxysome-based nanostructures for diverse biotechnological purposes.

synthetic biology↗

PhaSeDis: A Manually Curated Database of Phase Separation-Disease Associations and Corresponding Small Molecules

Biomacromolecules form membraneless organelles through liquid-liquid phase separation in order to regulate the efficiency of particular biochemical reactions. Dysregulation of phase separation might result in pathological condensation or sequestration of biomolecules, leading to diseases. Thus, phase separation and phase separating factors may serve as drug targets for disease treatment. Nevertheless, such associations have not yet been integrated into phase separation related databases. Therefore, based on MloDisDB, a database for membraneless organelle factor-disease association previously developed by our lab, we constructed PhaSeDis, the phase separation-disease association database. We increased the number of phase separation entries from 52 to 185, and supplemented the evidence provided by the original article verifying the phase separation nature of the factors. Moreover, we included the information of interacting small molecules with low or high-throughput evidence that might serve as potential drugs for phase separation entries. PhaSeDis strives to offer comprehensive descriptions of each entry, elucidating how phase separating factors induce pathological conditions via phase separation and the mechanisms by which small molecules intervene. We believe that PhaSeDis would be very important in the application of phase separation regulation in treating related diseases. PhaSeDis is available at http://mlodis.phasep.pro.

bioinformatics↗

Tap into non-symbiotic carbon? Exogenous myristate fuels the growth of symbiotic arbuscular mycorrhizal fungi but disrupts their carbon-phosphorus exchange with host plants

Arbuscular mycorrhizal fungi (AMF) are obligate biotrophs that rely on symbiotic carbohydrates and, in particular, lipids derived from their host plants. However, it remains unclear whether symbiotic AMF can access exogenous non-symbiotic lipids in the presence of plant-derived carbon, complicating our understanding of their relationship with host plants. Here, we investigated the direct uptake of exogenous 13C1-labeled myristate by three symbiotic AMF species (Rhizophagus irregularis, R. intraradices, and R. diaphanous) and assessed their growth responses using AMF-carrot hairy root co-culture systems. Furthermore, we explored the environmental distribution of myristate, and evaluated the impact of exogenous myristate on the carbon-phosphorus exchange between R. irregularis and alfalfa or rice in a greenhouse experiment. Our results showed that symbiotic AMF can absorb exogenous myristate, as evidenced by 13C enrichment and transcriptional activation of fatty acid transport and metabolism genes in AMF extraradical hyphae. Myristate is commonly present in various soil and plant environments, and its application increased both intraradical and extraradical fungal biomass, possibly linked to suppressed mycorrhizal-activated defense responses in host roots. Unexpectedly, exogenous myristate reduced the mycorrhizal phosphorus benefits for both alfalfa and rice and decreased their symbiotic carbon allocation to root-colonizing AMF, suggesting that the application of exogenous myristate may not be a promising strategy to enhance AM symbiosis. These findings provide new insights into understanding and manipulating the nutritional interactions between AMF and host plants.

ecology↗

Linkage: an interactive shiny app and R package for linking of DNA regulatory peaks to genes

SummaryExisting studies have demonstrated that the integration analysis of transcriptomic and epigenomic data can be used to better understand the onset and progression of many diseases, as well as identify new diagnostic and prognostic biomarkers. However, such investigations on large-scale sequencing data remain challenging for researchers or clinicians with limited bioinformatics knowledge. To facilitate the interpretation of gene regulatory landscape, we developed an R Shiny application and R package [Linking of atac-seq to gene expression data (Linkage)] for exploring and visualizing potential cis-regulatory elements (CREs) of genes based on ATAC-seq and RNA-seq data. Linkage offers six modules to systematically identify, annotate, and interpret potential gene regulatory elements from the whole genome step by step. Linkage can provide interactive visualization for the correlation between chromatin accessibility and gene expression. More than that, Linkage identifies transcription factors (TFs) that potentially drive the chromatin changes through identifying TF binding motifs within the CREs and constructing trans-regulatory networks of the target gene set. This powerful tool enables researchers to conduct extensive multiomics integration analysis and generate visually appealing visualizations that effectively highlight the relationship between genes and corresponding regulatory elements. With Linkage, users can obtain publishable results and gain deeper insights into the gene regulatory landscape. Availability and implementation Linkage is freely available as a Shiny web application (https://xulabgdpu.org.cn/linkage) and an R package (https://github.com/XuLab-GDPU/Linkage). The documentation is available at (https://aicplane.github.io/Linkage-tutorial/).

bioinformatics↗

Yeast poly(A)-binding protein (Pab1) controls translation initiation in vivo primarily by blocking mRNA decapping and decay

Poly(A)-binding protein (Pab1 in yeast) is involved in mRNA decay and translation initiation, but its molecular functions are incompletely understood. We found that auxin-induced degradation of Pab1 reduced bulk mRNA and polysome abundance in a manner suppressed by deleting the catalytic subunit of decapping enzyme (dcp2{Delta}), demonstrating that enhanced decapping/degradation is the major driver of reduced mRNA abundance and protein synthesis at limiting Pab1 levels. An increased median poly(A) tail length conferred by Pab1 depletion was also nullified by dcp2{Delta}, suggesting that mRNA isoforms with shorter tails are preferentially decapped/degraded at limiting Pab1. In contrast to findings on mammalian cells, the translational efficiencies (TEs) of many mRNAs were altered by Pab1 depletion; however, these changes were broadly diminished by dcp2{Delta}, suggesting that reduced mRNA abundance is a major driver of translational reprogramming at limiting Pab1. Thus, assembly of the closed-loop mRNP via PABP-eIF4G interaction appears to be dispensable for normal translation of most yeast mRNAs in vivo. Interestingly, histone mRNAs and proteins are preferentially diminished on Pab1 depletion dependent on Dcp2, accompanied by activation of internal cryptic promoters in the manner expected for reduced nucleosome occupancies, revealing a new layer of post-transcriptional control of histone gene expression.

genomics↗

FLASH Irradiation Regulates IFN-β induction by mtDNA via Cytochrome c Leakage

Ultrahigh dose rate radiotherapy (FLASH-RT) is under intensive investigation for its biological benefits. The mechanisms underlying its ability to spare normal tissues while suppress tumor growth still remain controversial. Here we reveal that compared to the low dose rate electron irradiation (0.36 Gy/s), FLASH electron irradiation at 61 or 610 Gy/s enhances the cytochrome c leakage from mitochondria in human breast cells MCF-10A, which elicits substantial caspase activation, suppresses both the cytosolic mitochondrial DNA (mtDNA) accumulation and IFN-{beta} secretion. Besides, the deletion of mtDNA severely decreases the radiation-induced cGAS-STING activation. Conversely, the cytochrome c leakage in carcinoma cells MDA-MB-231 post electron irradiation is limited, especially for the case of FLASH irradiation, resulting in less cytosolic cytochrome c but stronger cGAS-STING activation than those in MCF-10A cells. The enhanced difference of cytochrome c leakage between cancer cells and normal cells post FLASH irradiation indicates a potential mechanism of FLASH effect by regulating the apoptotic and inflammatory pathway.

biophysics↗

Bidirectional Translation of Transcriptomic Profiles between Liver and Kidney under Drug Treatment Using Generative Adversarial Networks (GANs)

Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox, an innovative AI model using a Generative Adversarial Network (GAN) method to facilitate bidirectional translation of transcriptomic profiles between the liver and kidney under drug treatment. TransTox demonstrates robust performance, validated across independent datasets and laboratories. Firstly, the concordance between real experimental data and synthetic data generated by TransTox was demonstrated in characterizing toxicity mechanisms compared to real experimental settings. Secondly, TransTox proved valuable in gene expression predictive models, where synthetic data could be used to develop gene expression predictive models or serve as "digital twins" for diagnostic applications. The TransTox approach holds potential for multi-organ toxicity assessment with AI and advancing the field of precision toxicology.

bioinformatics↗

Virological characteristics of SARS-CoV-2 Omicron BA.5.2.48

With the prevalence of sequentially-emerged sublineages including BA.1, BA.2 and BA.5, SARS-CoV-2 Omicron infection has transformed into a regional epidemic disease. As a sublineage of BA.5, the BA.5.2.48 outbreak and evolved into multi-subvariants in China without clearly established virological characteristics, especially the pathogenicity. Though reduced airborne transmission and pathogenicity of former Omicron sublineages have been revealed in animal models, the virological characteristics of BA.5.2.48 was unidentified. Here, we evaluated the in vitro and in vivo virological characteristics of two isolates of the prevalent BA.5.2.48 subvariant, DY.2 and DY.1.1 (a subvariant of DY.1). DY.2 replicates more efficiently than DY.1.1 in HelahACE2+ cells and Calu-3 cells. The A570S mutation (of DY.1) in a normal BA.5 spike protein (DY.2) leads to a 20% improvement in the hACE2 binding affinity, which is slightly reduced by a further K147E mutation (of DY.1.1). Compared to the normal BA.5 spike, the double-mutated protein demonstrates efficient cleavage and reduced fusogenicity. BA.5.2.48 demonstrated enhanced airborne transmission capacity in hamsters than BA.2. The pathogenicity of BA.5.2.48 is greater than BA.2, as revealed in K18-hACE2 rodents. Under immune selection pressure, DY.1.1 shows stronger fitness than DY.2 in hamster turbinates. Thus the outbreaking prevalent BA.5.2.48 multisubvariants exhibites divergent virological features. ImportanceOmicron continues to circulate and evolves novel sublineages with indistinguishable pathogenicity and transmission. Therefore humanized Omicron-sensitive animal models must be applied to evaluate the virological characteritics and antiviral therapeutics. By using multiple models including the Omicron-lethal H11-K18-hACE2 rodents, BA.5.2.48 revealed higher pathogenicity in the novel H11-K18-hACE2 rodent models than the previously epidemic BA.2, and thus the models are more adapted to Omicron studies. Moreover, the regional outbreaking of BA.5.2.48 promotes the multidirectional evolution of its subvariants, gaining either enhanced pathogenicity or a fitness in upper airways which is associated with higher transmission, highlighting the importance of surveillance and virological studies on regionally endemic sublineages which represents the short-run evolutionary direction of Omicron.

microbiology↗

Hepatitis E virus infection upregulates ING5 expression in vitro and vivo

Hepatitis E virus (HEV) is the major pathogen of viral hepatitis. Immunocompromised individual infected by HEV is prone to chronic hepatitis and increases the risk of hepato-cellular carcinoma (HCC). Inhibitor of growth family member 5 (ING5) is a tumor suppressor gene, is low expressed in cancer tumor or cells. However, the underlying relationship between ING5 and HEV infection is unclear. In the present study acute and chronic HEV animal models were employed to explore the interaction between ING5 and HEV. Notably, the expression of ING5 was significantly increased both in the liver of acute HEV infected BALB/c mice and chronic HEV infected rhesus macaques. In addition, the relationship between HEV infection and ING5 expression was further identified in human hepatoma (HepG-2) cells. In conclusion, HEV infection strongly upregulated ING5 expression in vivo and in vitro, bearing significant implications in further understanding the pathogenic mechanism of HEV infection.

microbiology↗

Nine high-quality Anas genomes provide new insights into Anas evolution and domestication

The evolutionary origin and genetic architecture of domestic animals are becoming more tractable as the availability of more domestic species genomes. Evolutionary studies of wild and domestic organisms have yielded many fascinating discoveries, while the stories behind the species diversity of Anas or the domestication of duck were largely unknown. Here, we assembled eight chromosome-level Anas genomes. Together with our recently available Pekin duck genome, we investigated Anas phylogeny, genetic differentiation, and gene flow. Extensive phylogenetic inconsistencies were observed in Anas genomes, particularly two phylogeny conflicts between autosome and Z-chromosome. However, the Z chromosome was less impacted by introgression and more suitable to elucidate phylogenetic relationships than autosomes. From the Z-chromosome perspective, we found that the speciation of Anas platyrhynchos and Anas zonorhyncha accompanied with female-biased gene flow, and remodeled duck domestication history. Moreover, we constructed an Anas pan-genome and identified several differentiated SVs between domestic and wild ducks. These SVs might act as repressors/enhancers to regulate their neighboring genes (i.e., GHR and FER), which represented the promising "domestication genes". Additionally, Anas genomes were found being presented LTR retrotransposon bursts, which might largely contribute to functional shifts of genes involved in duck domestication (i.e., MITF and IGF2BP1). This study opens a new window to unravel avian speciation and domestication from Z chromosome.

genomics↗

The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice

Unraveling evolutionary history and genomic basis of heterosis is fundamental for advancing rice productivity. We developed a genome-scale phylogeny of Oryzeae by coalescing 39,984 gene trees. Our analysis supports parallel, independent origins and nearly synchronous evolutionary trajectories leading to the subsequent domestication of indica and japonica, evidenced by molecular dating and synonymous substitution rates for syntenic and domestication-associated genes. Our survey of 1,383 gene duplications in ancestor of O. sativa uncovers their roles in vital biological processes, highlighting the significance in environmental adaptability. Additionally, we confirm the lack of hybridization event among subspecies ancestors through gene tree topology and D-statistical analyses. We generated 71.67 GB whole-genome sequencing data for five super-hybrid rice varieties and their progenitors, revealing differential positive selection and genetic exchanges between subspecies, essential for heterosis formation. Crucially, our study underscores the role of non-additive gene expression in heterosis, particularly in genes associated with DNA repair and recombination, which may confer resistance traits. Furthermore, eQTL and de novo mutation analyses identify key developmental and stress response genes, offering targets for enhancing heterosis in rice. Overall, our research reveals crucial insights into the genetics of rice domestication and heterosis, offering a genomic resource to improve rices agricultural productivity.

evolutionary biology↗

A physically inspired approach to coarse-graining transcriptomes reveals the dynamics of aging: multiscale description of gene expressions and a spectral view of aging dynamics

Single-cell RNA sequencing has enabled the study of aging at a molecular scale. While substantial progress has been made in measuring age-related gene expression, the underlying patterns and mechanisms of aging transcriptomes remain poorly understood. To address this gap, we propose a physics-inspired, data-analysis approach to extract additional insights from single-cell RNA sequencing data. By considering the genome as a many-body interacting system, we leverage central idea of the Renormalization Group to construct an approach to hierarchically describe aging across a spectrum of scales for the gene expresion. This framework provides a quantitative language to study the multiscale patterns of aging transcriptomes. Overall, our study demonstrates the value of leveraging theoretical physics concepts like the Renormalization Group to gain new biological insights from complex high-dimensional single-cell data.

biophysics↗

Physical basis for the interaction between Drosophila ROS1 and the GPCR BOSS

Abstract/SummaryDrosophila ROS1 (dROS1, Sevenless) is a receptor tyrosine kinase (RTK) essential for the differentiation of Drosophila R7 photoreceptor cells1, 2. Activation of dROS1 is mediated by binding to the extracellular region (ECR) of the GPCR (G protein coupled receptor) BOSS (Bride Of Sevenless) on adjacent cells1, 3, 4. Genetic evidence together with in vitro activity assays confirmed the activation of dROS1 by BOSS and identified subsequent downstream signaling pathways including SOS (Son of Sevenless)1, 5. However, the physical basis for how dROS1 interacts with the GPCR BOSS has long remained unknown. Here we provide the first structure, using Cryo-Electron Microscopy (CryoEM), of dROS1s extracellular region, which mediates ligand binding. We show that the N-terminal region of dROS1 adopts a folded-over conformation harboring a novel structural domain. We further narrowed down the interacting binding epitopes on both dROS1 and BOSS. This includes a beta-strand in dROS1s third Fibronectin type III (FNIII) domain and the C-terminal portion of BOSS ECR. Our mutagenesis studies, coupled with AlphaFold complex predictions, support a binding interaction mediated by a hydrophobic interaction and beta-strand augmentation between these regions. Our findings provide a fundamental understanding of the regulatory function of dROS1 and further provide mechanistic insight into the human ortholog and oncogene ROS1.

biophysics↗

Glioma-associated fibroblasts promote glioblastoma resistance to temozolomide through CCL2-CCR2 paracrine signaling

Complicated tumor microenvironment contributes mostly to chemoresistance in glioblastoma. Glioma-associated fibroblasts (GAFs) were recently identified as non-tumor stromal cells in the glioblastoma microenvironment, whereas their function in glioblastoma chemoresistance is unclear. Herein, we interrogated the correlation between GAFs and chemoresistance of glioblastoma by examining a series of patient-derived GAFs and glioblastoma organoids (GBOs), revealing that GAFs could promote temozolomide resistance in glioblastoma. Mechanistically, C-C motif chemokine ligand 2 (CCL2) secreted by GAFs selectively activated the ERK1/2 signaling in glioblastoma cells to potentiate temozolomide resistance. Pharmacologically disrupting the CCL2-CCR2 axis or MEK1/2-ERK1/2 pathway effectively improved the therapeutic efficacy of temozolomide in GBM cells and patient-derived GBOs, and both decreased phospho-ERK1/2 expression. Collectively, our results identified that targeting the GAF-dominated CCL2-ERK1/2 pathway may be an alternative strategy to alleviate the GAF-mediated chemoresistance of glioblastoma. SignificanceComprehensive interpretation of the mutual support between tumor microenvironment and cancer cells is demanded for glioma with poor response rates to chemotherapy. This study demonstrates that GAFs promote the temozolomide resistance of glioblastoma by secreting cytokine CCL2 to activate ERK1/2 pathway, which may serve as a potential druggable candidate. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/581575v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@167b955org.highwire.dtl.DTLVardef@b892bcorg.highwire.dtl.DTLVardef@1a9b082org.highwire.dtl.DTLVardef@18327a8_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphic abstract.C_FLOATNO Schematic illustration for GAFs mediated chemoresistance of GBMs and underlying mechanisms. We demonstrate that Glioma-associated Fibroblasts (GAFs) grow in gliomas by isolating and identifying a panel of patient-derived GAFs. CCL2 secreted by GAFs stimulates CCR2 in GBM cells, which promotes activation of the ERK1/2 expression to potentiate GBM chemoresistance. C_FIG

cancer biology↗

Ubiquitin-mediated stabilization of SlPsbS regulates low night temperature tolerance in tomatoes

Non-photochemical quenching (NPQ) plays a fundamental role in safely operating photosynthesis under low night temperatures (LNT). PsbS protein is essential for the rapid induction of NPQ, and its stability is often affected by adverse environmental conditions. However, the regulatory mechanism for the stability of PsbS or chloroplast proteins remains to be fully characterized. We showed that LNT decreased NPQ levels and SlPsbS protein abundance in tomato leaves. COP9 signalosome subunit 5A (SlCSN5A) facilitated SlPsbS ubiquitination and degradation in the cytosol. Further, tomato chloroplast vesiculation (SlCV) was activated by LNT. Under LNT, SlCV targeted the chloroplasts and induced the formation of CV-containing vesicles (CCVs) containing SlPsbS, which were exported from the chloroplasts. Subsequently, SlCV and SlPsbS contact SlCSN5A in the cytosol and are ubiquitinated and degraded. Genetic evidence demonstrated that overexpression of SlCV aggravated SlPsbS protein degradation, whereas silencing of SlCSN5 and SlCV delayed LNT-induced NPQ reduction and SlPsbS protein turnover. This study provides evidence that CSN5A is associated with chloroplast proteins, and reveals a ubiquitin-dependent degradation pathway of chloroplast proteins co-mediated by CV and CSN5A, thereby providing new insights into the regulation of chloroplast protein stability under stress conditions.

plant biology↗