Biology subjects

Mu, J.

Publications and source records attributed to Mu, J..

7 recordsLinked to original sources

bioRxiv2024

Large-scale multi-omics analyses identified root-microbiome associations underlying plant nitrogen nutrition

The microbiome determines the performance and fitness of the host plant. Nevertheless, the causal interaction between host genetic variation, gene regulation and the impact of the microbiome on the host phenotype remain unknown. Here we generated 1,341 paired root transcriptome, rhizosphere microbiome and root ionome samples and performed a multi-omics analyses of the host-microbe association at the root-soil interface using 175 rapeseeds (Brassica napus L.) resequenced ecotypes at two field environments. We observed the highest statistically explained variance for root nitrogen uptake among natural ionomic variation by overall transcriptome-wide gene expression and microbial abundance variation. Moreover, we identified significant genome-wide associations for 203 highly heritable amplicon sequence variants (ASVs) at multiple genetic loci regulated by eQTL hotspots associated with nitrogen metabolism components. These associations involved a central bacterial genus (Sphingopyxis), which plays a dominant role on gene regulatory effect on its variation regulated by eQTL hotspots. In addition, we performed high-throughput bacterial cultivation from rapeseed roots and subjected Sphingopyxis to whole genome sequencing. Finally, targeted metabolite profiling and confocal imaging assays demonstrated a host-microbiome regulatory effect on Sphingopyxis established by lateral root development and plant nitrogen nutrition. In summary, our integrative approach reveals the genetic basis of host-microbiome trait associations in the transcriptional, nutritional and environmental domains and suggests that the microbiome might have causal effects on root development with implications towards the breeding of nutrient-efficient crops.

plant biology↗

bioRxiv2023

Memory reactivation during sleep does not act holistically on object memory

Memory reactivation during sleep is thought to facilitate memory consolidation. Most sleep reactivation research has examined how reactivation of specific facts, objects, and associations benefits their overall retention. However, our memories are not unitary, and not all features of a memory persist in tandem over time. Instead, our memories are transformed, with some features strengthened and others weakened. Does sleep reactivation drive memory transformation? We leveraged the Targeted Memory Reactivation technique in an object category learning paradigm to examine this question. Participants (20 female, 14 male) learned three categories of novel objects, where each object had unique, distinguishing features as well as features shared with other members of its category. We used a real-time EEG protocol to cue the reactivation of these objects during sleep at moments optimized to generate reactivation events. We found that reactivation improved memory for distinguishing features while worsening memory for shared features, suggesting a differentiation process. The results indicate that sleep reactivation does not act holistically on object memories, instead supporting a transformation process where some features are enhanced over others.

neuroscience↗

bioRxiv2023

Protein Language Model Supervised Precise and Efficient Protein Backbone Design Method

Proteins perform essential roles in numerous biological processes, largely driven by the three-dimensional structure of several key motif residues. Recently, a variety of energy-based and machine learning backbone generation methods have been developed to solve the motif-scaffolding task. However, it is still challenging to generate diverse and accurate scaffold structures around motifs for models either fine-tuned pre-trained multiple sequence alignment-based (MSA-based) structure prediction models or trained from scratch. Here, we introduced Generative Protein Design by Language model (GPDL) for effectively replacing traditional MSA-based pretraining. Using our scalable design strategy, GPDL successfully solved 22 out of 24 benchmark problems and outperformed other methods by generating 33.5% more unique designable clusters than RFdiffusion. This demonstrates that our approach can generate accurate and physically plausible structures across diverse protein design scenarios. GPDL also showed strong robustness in orphan proteins that have low sequence similarity with the training set. Our approach underscores the promise of protein language models in protein design and has the potential to accelerate the discovery of novel functional proteins for a wide range of biological and therapeutic applications.

bioinformatics↗

bioRxiv2023

De novo Protein Sequence Design Based on Deep Learning and Validation on CalB Hydrolase

Protein design is central to nearly all protein engineering problems, as it can enable the creation of proteins with new biological function, such as improving the catalytic efficiency of enzymes. As one of the key tasks of protein design, fixed-backbone protein sequence design aims to design novel sequence that would fold into a given protein backbone structure. However, current sequence design methods have limitations in terms of low sequence diversity and experimental validation of designed protein function, which cannot meet the needs of functional protein design. We firstly constructed Graphormer-based Protein Design (GPD) model that directly applies Transformer to graph-based representation of 3D protein structure, and added Gaussian noise and sequence random mask to node features to improve the sequence recovery and diversity. Additionally, functional filtering based on the structure folding, solubility, and function were performed to improve the success rate in experiments. The process of "sequence design-functional filtering -functional experiment" was carried out for CalB hydrolase. The experimental results showed that the specify activity of designed protein improved 1.7 times than CalB wild type. This design and filtering platform will be a valuable tool for generating industrial enzymes and protein drugs with specific functions.

biochemistry↗

bioRxiv2023

Transgenerational Epigenetic Inheritance of MHC Class I Gene Expression is Regulated by the CCAAT Promoter Element

Transgenerational epigenetic inheritance is defined as the transmission of traits or gene expression patterns across multiple generations that do not derive from DNA alterations. The effect of multiple stress factors or metabolic changes resulting in such inheritance have been documented in plants, worms and flies and mammals. The molecular basis for epigenetic inheritance has been linked to histone and DNA modifications and non-coding RNA. In this study, we show that mutation of a promoter element, the CCAAT box, disrupts stable expression of an MHC Class I transgene, resulting in variegated expression among progeny for at least 4 generations in multiple independently derived transgenic lines. Histone modifications and RNA polII binding correlate with expression, whereas DNA methylation and nucleosome occupancy do not. Mutation of the CCAAT box abrogates NF-Y binding and results in changes to CTCF binding and DNA looping patterns across the gene that correlate with expression status from one generation to the next. These studies identify the CCAAT promoter element as a regulator of stable transgenerational epigenetic inheritance. Considering that the CCAAT box is present in 30% of eukaryotic promoters, this study could provide important insights into how fidelity of gene expression patterns is maintained through multiple generations.

genetics↗

bioRxiv2022

Expanding adult tubular microvessels on stiff substrates with endothelial cells and pericytes from the same tissue

Microvessels are essential for tissue engineering and regeneration. In current methods, endothelial cells are usually cultured in commercially available media and form a monolayer of cell sheets on stiff substrates and a tubular structure when cultured with soft hydrogels. To mimic the microvessels in vivo, researchers usually coculture the endothelial cells and pericytes from different adult tissues or derived from pluripotent stem cells in a three-dimensional hydrogel. However, there is a challenge for these models to reflect tissue-specific characteristics due to the vascular heterogeneity throughout the body. Here, we established a culture model for expanding adult tubular microvessels on stiff substrates with endothelial cells and pericytes derived from the same tissue. We isolated microvessels from adult rat subcutaneous soft connective tissue and cultured them on regular plastic dishes. We performed a series of screenings and formulated a custom-made medium (Medium-X), containing mainly antioxidants and three small molecules, Chir99021, A83-01, and Y27632. Medium-X significantly promoted adult microvessel growth while maintaining their characteristic tubular morphology up to 8 weeks in vitro, contrary to the monolayer of endothelial cell sheets in the commercially available medium EGM2MV. Transcriptomic analysis showed that Medium-X maintained the tubular morphology of microvessels by promoting angiogenesis and vascular remodeling while suppressing oxidation and lipid metabolic pathways. The model presented in this study can be applied to other organs for expanding organ-specific microvessels for tissue engineering and vascular regeneration.

bioengineering↗

bioRxiv2021

5-methylcytosine modification by Plasmodium NSUN2 stabilizes mRNA and mediates the development of gametocytes

5-methylcytosine (m5C) is an important epitranscriptomic modification involved in mRNA stability and translation efficiency in various biological processes. However, it remains unclear if m5C modification contributes to the dynamic regulation of the transcriptome during the developmental cycles of Plasmodium parasites. Here, we characterize the landscape of m5C mRNA modifications at single nucleotide resolution in the asexual replication stages and gametocyte sexual stages of rodent (P. yoelii) and human (P. falciparum) malaria parasites. While different representations of m5C-modified mRNAs are associated with the different stages, the abundance of the m5C marker is strikingly enhanced in the transcriptomes of gametocytes. Our results show that m5C modifications confer stability to the Plasmodium transcripts and that a Plasmodium ortholog of NSUN2 is a major mRNA m5C methyltransferase in malaria parasites. Upon knock-out of P. yoelii nsun2 (pynsun2), marked reductions of m5C modification were observed in a panel of gametocytogenesis-associated transcripts. These reductions correlated with impaired gametocyte production in rodent and human malaria parasites. Restoration of the nsun2 gene in the knock-out parasites rescued the gametocyte production phenotype as well as m5C modification of the gametocytogenesis-associated transcripts. Together with the mRNA m5C profiles for two species of Plasmodium, our findings demonstrate a major role for NSUN2-mediated m5C modifications in mRNA transcript stability and sexual differentiation in malaria parasites. SignificanceModifications of RNA including methylations of cytosine (m5C) and adenosine (m6A) have important roles in RNA metabolism, cellular responses to stress, and biological processes of differentiation and development. Here, we report on the profiles of m5C mRNA modifications in malaria parasites that infect rodents (Plasmodium yoelii) and humans (Plasmodium falciparum). These parasites have genes that encode homologs of human and plant NSUN2 methyltransferases (m5C "writers"). We show that one of these homologs, termed PyNSUN2, stabilizes mRNA transcripts in P. yoelii and mediates m5C-associated development of the parasite sexual stages (gametocytes). Further research on m5C and other epitranscriptomic modifications may yield new insights into molecular pathways of gametocyte development and mosquito infectivity that can be exploited to interrupt malaria transmission.

microbiology↗