Wenqi Wu | Search PubMed

PubMed2026

Identification and characterization of PsFwC9 conferring Fusarium wilt resistance in pea.

Pea (Pisum sativum L.) is one of the most important edible legumes in China, with both planting area and total yield ranking among the highest in the world. Fusarium wilt, caused by Fusarium oxysporum f. sp. pisi (Fop), is a severe factor limiting pea production. The deployment of resistant pea cultivars is the most effective and sustainable strategy for controlling this disease. In the present study, a novel resistance gene PsFwC9, conferring resistance to Fop race 5, was identified in the resistant pure line Chengwan 9-8 (CW9-8), and its candidate gene Psat4g213640 was characterized and functionally validated to be associated with disease resistance. Genetic analysis of the F₂ population derived from the cross between the resistant parent CW9-8 and the susceptible parent Chengwan 9-1 (CW9-1) revealed that PsFwC9 was controlled by a single dominant gene. Based on whole-genome resequencing, bulked segregant analysis sequencing (BSA-seq) and fine mapping, PsFwC9 was localized to an 817.06-kb region on chromosome 4 (i.e. linkage group IV, chr4LG4), flanked by KASP markers A016508 and A016511, and co-segregated with four markers. Haplotype analysis revealed that only the marker A016615 was significantly associated with Fusarium wilt resistance, and this marker was designated as a diagnostic marker for PsFwC9. Marker A016615 was located at 425 699 725 bp on chr4LG4, corresponding to the 277 bp within Psat4g213640, where a 'A/G' single-nucleotide polymorphism caused an amino acid substitution leading to an alteration in protein structure; therefore, Psat4g213640 was identified as the PsFwC9 candidate gene. Quantitative real-time PCR analysis showed no significant difference in the expression levels of Psat4g213640 between CW9-8 and CW9-1. Overexpression of the candidate gene Psat4g213640CW9-8 in the hairy root system significantly enhanced the resistance of CW9-1 to Fusarium wilt, whereas RNA interference-mediated silencing of Psat4g213640CW9-8 reduced the resistance of CW9-8, indicating that Psat4g213640CW9-8 played a crucial role in pea resistance to Fusarium wilt. In addition, subcellular localization showed that the protein encoded by Psat4g213640 was targeted to the endoplasmic reticulum. Collectively, these findings not only enriched the gene resources for disease resistance in pea and provided an important foundation for elucidating the molecular mechanism of PsFwC9-mediated resistance, but also provided important technical support for the practical application of molecular breeding for disease resistance in pea.

Journal Article↗

PubMed2025

Anoikis classification of lung squamous cell carcinoma reveals correlation with clinical prognosis and immune characteristics.

BACKGROUND: Anoikis is a new mode of cell death that has been shown to correlate significantly with tumors. However, the clinical prognostic significance of anoikis in lung squamous cell carcinoma (LUSC) remains poorly studied. METHODS: The differentially expressed ARGs and candidate genes were selected by the differential analysis to construct a predictive model. Independent prognostic gene was determined by Cox and LASSO analysis and we used the HCC95 and NCI H520 cell line to verify the gene function. We used the data from TCGA, GEO, GeneCards, and Harmonizome databases to analyze the immune microenvironment, functional enrichment, and drug sensitivity analysis. RESULTS: We identified 717 differentially expressed and selected 3 ARGs (FADD, SNAI1, and BAG4) to construct a predictive model. We found that SNAI1 is an independent prognostic gene and confirmed that knocking out the SNAI1 inhibited the HCC95/NCI H520 cell proliferation. We used single-sample gene-set enrichment analysis (ssGSEA) to evaluate the immune infiltration based on the 3 ARG expression levels. We constructed a risk score and provided a visual representation of the prophetic implications of the ARGs-based signature through a nomogram. We found 15 susceptible drugs in the high-risk group and 15 sensitive drugs in the low-risk group by the drug sensitivity analysis. CONCLUSION: We used ARGs to construct a prognosis model for LUSC that can accurately predict the prognosis of LUSC patients. ARGs, especially SNAI1, play an essential role in developing LUSC. These findings could provide individualized treatment plans and new research ideas for LUSC patients.

Humans↗