Journal of Genetics and Genomics最新文献

Ferroptosis, a type of programmed cell death, represents a distinct paradigm in cell biology. It is characterized by the iron-dependent accumulation of reactive oxygen species, which induce lipid peroxidation (LPO), and is orchestrated by the interplay between iron, lipid peroxides, and glutathione. In this review, we emphasize the frequently overlooked role of iron in LPO beyond the classical iron-driven Fenton reaction in several crucial processes that regulate cellular iron homeostasis, including iron intake and export as well as ferritinophagy, and the emerging roles of endoplasmic reticulum-resident flavoprotein oxidoreductases, especially P450 oxidoreductases, in modulating LPO. We summarize how various types of fatty acids (FAs), including saturated, monounsaturated, and polyunsaturated FAs, differentially influence ferroptosis when incorporated into phospholipids. Furthermore, we highlight the therapeutic potential of targeting LPO to mitigate ferroptosis and discuss the regulatory mechanisms of endogenous lipophilic radical-trapping antioxidants that confer resistance to ferroptosis, shedding light on therapeutic avenues for ferroptosis-associated diseases.

Chromatin modifications including histone acetylation play essential roles in regulating flowering. The CBP/p300 family HISTONE ACETYLTRANSFERASE 1 (HAC1), which mediates histone acetylation, promotes the process of floral transition; however, the precise mechanism remains largely unclear. Specifically, how HAC1 is involved in the flowering regulatory network and which genes are the direct targets of HAC1 during flowering regulation are still unknown. In this study, we elucidated the critical function of HAC1 in promoting flowering via exerting active epigenetic markers at two key floral integrators, FT and SOC1, thereby regulating their expression to trigger the flowering process. We show that HAC1 physically interacts with CONSTANS (CO) in vivo and in vitro. Chromatin immunoprecipitation results indicate that HAC1 directly binds to the FT and SOC1 loci. Loss of HAC1 impairs CO-mediated transcriptional activation of FT and SOC1 in promoting flowering. Moreover, CO mutation leads to the decreased enrichment of HAC1 at FT and SOC1, indicating that CO recruits HAC1 to FT and SOC1. Finally, HAC1, as well as CO, is required for the elevated histone acetylation level at FT and SOC1. Taken together, our finding reveals that HAC1-mediated histone acetylation boots flowering via a CO-dependent activation of FT and SOC1.

KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellular heterogeneity analysis by integrating single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data. ST technologies provide insights into gene expression within tissue context, revealing cellular interactions and microenvironments. To fully leverage this potential, effective computational models are crucial. We evaluate KanCell on both simulated and real datasets from technologies such as STARmap, Slide-seq, Visium, and Spatial Transcriptomics. Our results demonstrate that KanCell outperforms existing methods across metrics like PCC, SSIM, COSSIM, RMSE, JSD, ARS, and ROC, with robust performance under varying cell numbers and background noise. Real-world applications on human lymph nodes, hearts, melanoma, breast cancer, dorsolateral prefrontal cortex, and mouse embryo brains confirmed its reliability. Compared with traditional approaches, KanCell effectively captures non-linear relationships and optimizes computational efficiency through KAN, providing an accurate and efficient tool for ST. By improving data accuracy and resolving cell type composition, KanCell reveals cellular heterogeneity, clarifies disease microenvironments, and identifies therapeutic targets, addressing complex biological challenges.

Temperature fluctuations challenge ectothermic species, particularly tropical fish dependent on external temperatures for physiological regulation. However, the molecular mechanisms through which low-temperature stress impacts immune responses in these species, especially in relation to chromatin accessibility and epigenetic regulation, remain poorly understood. In this study, we investigate chromatin and transcriptional changes in the head kidney and thymus tissues of Nile tilapia (Oreochromis niloticus), a tropical fish of significant economic importance, under cold stress. By analyzing cis-regulatory elements in open chromatin regions and their associated transcription factors (TFs), we construct a comprehensive transcriptional regulatory network (TRN) governing immune responses, including DNA damage-induced apoptosis. Our analysis identifies 119 TFs within the TRN, with Stat1 emerging as a central hub exhibiting distinct binding dynamics under cold stress, as revealed by footprint analysis. Overexpression of Stat1 in immune cells leads to apoptosis and increases the expression of apoptosis-related genes, many of which contain Stat1 binding sites in their regulatory regions, emphasizing its critical role in immune cell survival during cold stress. These results provide insights into the transcriptional and epigenetic regulation of immune responses to cold stress in tilapia and highlight Stat1 as a promising target for enhancing cold tolerance in tropical fish species.

Reactive oxygen species (ROS) and nitric oxide (NO) are two critical classes of signaling molecules that regulate plant development and stress responses. The intracellular level of S-nitrosoglutathione (GSNO), a major bioactive NO species, is regulated by the highly conserved GSNO reductase (GSNOR). However, the molecular mechanisms underlying ROS-mediated regulation of GSNOR remain largely unclear. Here, we show that H₂O₂ negatively regulates the activity of GSNOR1 during ovule development in Arabidopsis. S-sulfenylation of GSNOR1 at Cys-284 inhibits its enzymatic activity. A GSNOR1^C284S mutation causes a reduction of the total SNO level in pistils, thereby disrupting NO homeostasis and eventually leading to defective ovule development. These findings illustrate a unique mechanism by which ROS regulates ovule development through S-sulfenylation-mediated inhibition of the GSNOR activity, thereby establishing a molecular link between ROS and NO signaling pathways in reproductive development.

Maize (Zea mays) is the most widely cultivated crop in the world. Maize production is closely linked to the extensive uptake and utilization of various mineral nutrients. Potassium (K), calcium (Ca), and magnesium (Mg) are essential metallic macronutrients for plant growth and development. Sodium (Na) is an essential micronutrient for some C₄ and CAM plants. Several metallic micronutrients like iron (Fe), manganese (Mn), and zinc (Zn) serve as enzyme components or co-factors in plant cells. Maize has to face the combined ion stress conditions in the natural environment. The limited availability of these nutrients in soils restricts maize production. In saline land, excessive Na could inhibit the uptake of mineral elements. Additionally, aluminum (Al) and heavy metal cadmium (Cd) and lead (Pb) in soils are toxic to maize and pose a threat to food security. Thus, plants must evolve complex mechanisms to increase nutrient uptake and utilization while restraining harmful elements. This review summarizes the research progress on the uptake and transport of metal ions in maize, highlights the regulation mechanism of metal ion transporters under stress conditions, and discusses the future challenges for the improvement of maize with high nutrient utilization efficiency (NUE).

Hereditary spastic paraplegias (HSPs) refer to a genetically and clinically heterogeneous group of neurodegenerative disorders characterized by the degeneration of motor neurons. To date, a significant number of patients still have not received a definite genetic diagnosis. Therefore, identifying unreported causative genes continues to be of great importance. Here, we perform whole exome sequencing in a cohort of Chinese HSP patients. Three homozygous variants (p.L604W, p.S517F, and p.T984A) within the sterol regulatory element-binding factor 2 (SREBF2) gene are identified in one autosomal recessive family and two sporadic patients, respectively. Co-segregation is confirmed by Sanger sequencing in all available members. The three variants are rare in the public or in-house database and are predicted to be damaging. The biological impacts of variants in SREBF2 are examined by functional experiments in patient-derived fibroblasts and Drosophila. We find that the variants upregulate cellular cholesterol due to the overactivation of SREBP2, eventually impairing the autophagosomal and lysosomal functions. The overexpression of the mature form of SREBP2 leads to locomotion defects in Drosophila. Our findings identify SREBF2 as a causative gene for HSP and highlight the impairment of cholesterol as a critical pathway for HSP.

The QTL by environment interaction (Q×E) effect is hard to detect because there are no effective ways to control the genomic background. In this study, we propose a novel linear mixed model that simultaneously analyzes data from multiple environments to detect Q×E interactions. This model incorporates two different kinship matrices derived from the genome-wide markers to control both main and interaction polygenic background effects. Simulation studies demonstrate that our approach is more powerful than the meta-analysis and inclusive composite interval mapping methods. We further analyze four agronomic traits of rice across four environments. A main effect QTL is identified for 1000-grain weight (KGW), while no QTLs are found for tiller number. Additionally, a large QTL with a significant Q×E interaction is detected on chromosome 7 affecting grain number, yield, and KGW. This region harbors two important genes, PROG1 and Ghd7. Furthermore, we apply our mixed model to analyze lodging in barley across six environments. The six regions exhibiting Q×E interaction effects identified by our approach overlap with the SNPs previously identified using EM and MCMC-based Bayesian methods, further validating the robustness of our approach. Both simulation studies and empirical data analyses show that our method outperformed all other methods compared.

The crop yields achieved through traditional plant breeding techniques appear to be nearing a plateau. Therefore, it is essential to accelerate advancements in photosynthesis, the fundamental process by which plants convert light energy into chemical energy, to further enhance crop yields. Research focused on improving photosynthesis holds significant promise for increasing sustainable agricultural productivity and addressing challenges related to global food security. This review examines the latest advancements and strategies aimed at boosting crop yields by enhancing photosynthetic efficiency. There has been a linear increase in yield over the years in historically released germplasm selected through traditional breeding methods, and this increase is accompanied by improved photosynthesis. We explore various aspects of the light reactions designed to enhance crop yield, including light harvest efficiency through smart canopy systems, expanding the absorbed light spectrum to include far-red light, optimizing non-photochemical quenching, and accelerating electron transport flux. At the same time, we investigate carbon reactions that can enhance crop yield, such as manipulating Rubisco activity, improving the Calvin-Benson-Bassham (CBB) cycle, introducing CO₂ concentrating mechanisms (CCMs) in C₃ plants, and optimizing carbon allocation. These strategies could significantly impact crop yield enhancement and help bridge the yield gap.