Legumes form endosymbiotic interaction with host compatible rhizobia, resulting in the development of nitrogen-fixing root nodules. Within symbiotic nodules, rhizobia are intracellularly accommodated in plant-derived membrane compartments, termed symbiosomes. In mature nodule, the massively colonized cells tolerate the existence of rhizobia without manifestation of visible defense responses, indicating the suppression of plant immunity in the nodule in the favur of the symbiotic partner. Medicago truncatula DNF2 (defective in nitrogen fixation 2) and NAD1 (nodules with activated defense 1) genes are essential for the control of plant defense during the colonization of the nitrogen-fixing nodule and are required for bacteroid persistence. The previously identified nodule-specific NAD1 gene encodes a protein of unknown function. Herein, we present the analysis of novel NAD1 mutant alleles to better understand the function of NAD1 in the repression of immune responses in symbiotic nodules. By exploiting the advantage of plant double and rhizobial mutants defective in establishing nitrogen-fixing symbiotic interaction, we show that NAD1 functions following the release of rhizobia from the infection threads and colonization of nodule cells. The suppression of plant defense is self-dependent of the differentiation status of the rhizobia. The corresponding phenotype of nad1 and dnf2 mutants and the similarity in the induction of defense-associated genes in both mutants suggest that NAD1 and DNF2 operate close together in the same pathway controlling defense responses in symbiotic nodules.

The rapid integration of genomic technologies in clinical diagnostics has resulted in the detection of a multitude of missense variants whose clinical significance is often unknown. As a result, a plethora of computational tools have been developed to facilitate variant interpretation. However, choosing an appropriate software from such a broad range of tools can be challenging; therefore, systematic benchmarking with high-quality, independent datasets is critical. Using three independent benchmarking datasets compiled from the ClinVar database, we evaluated the performance of ten widely used prediction algorithms with missense variants from 21 clinically relevant genes, including BRCA1 and BRCA2. A fourth dataset consisting of 1053 missense variants was also used to investigate the impact of type 1 circularity on their performance. The performance of the prediction algorithms varied widely across datasets. Based on Matthews Correlation Coefficient and Area Under the Curve, SNPs&GO and PMut consistently displayed an overall above-average performance across the datasets. Most of the tools demonstrated greater sensitivity and negative predictive values at the expense of lower specificity and positive predictive values. We also demonstrated that type 1 circularity significantly impacts the performance of these tools and, if not accounted for, may confound the selection of the best performing algorithms.

Germline mutations in the BRCA1 and BRCA2 genes are responsible for hereditary breast and ovarian cancer syndrome. Germline and somatic BRCA1/2 mutations may define therapeutic targets and refine cancer treatment options. However, routine BRCA diagnostic approaches cannot reveal the exact time and origin of BRCA1/2 mutation formation, and thus, the fine details of their contribution to tumor progression remain less clear. Here, we establish a diagnostic pipeline using high-resolution microscopy and laser microcapture microscopy to test for BRCA1/2 mutations in the tumor at the single-cell level, followed by deep next-generation sequencing of various tissues from the patient. To demonstrate the power of our approach, here, we describe a detailed single-cell-level analysis of an ovarian cancer patient we found to exhibit constitutional somatic mosaicism of a pathogenic BRCA2 mutation. Employing next-generation sequencing, BRCA2 c.7795G>T, p.(Glu2599Ter) was detected in 78% of reads in DNA extracted from ovarian cancer tissue and 25% of reads in DNA derived from peripheral blood, which differs significantly from the expected 50% of a hereditary mutation. The BRCA2 mutation was subsequently observed at 17–20% levels in the normal ovarian and buccal tissue of the patient. Together, our findings suggest that this mutation occurred early in embryonic development. Characterization of the mosaic mutation at the single-cell level contributes to a better understanding of BRCA mutation formation and supports the concept that the combination of single-cell and next-generation sequencing methods is advantageous over traditional mutational analysis methods. This study is the first to characterize constitutional mosaicism down to the single-cell level, and it demonstrates that BRCA2 mosaicism occurring early during embryogenesis can drive tumorigenesis in ovarian cancer.

Legumes are able to meet their nitrogen need by establishing nitrogen-fixing symbiosis with rhizobia. Nitrogen fixation is performed by rhizobia, which has been converted to bacteroids, in newly formed organs, the root nodules. In the model legume Medicago truncatula, nodule cells are invaded by rhizobia through transcellular tubular structures called infection threads (ITs) that are initiated at the root hairs. Here, we describe a novel M. truncatula early symbiotic mutant identified as ief (Infection-related Epidermal Factor) in which the formation of ITs is blocked in the root hair cells and only nodule primordia are formed. We show that the function of MtIEF is crucial for the bacterial infection in the root epidermis but not required for the nodule organogenesis. The IEF gene that appears to have been recruited for a symbiotic function after the duplication of a flower-specific gene, is activated by the ERN1-branch of the Nod Factor signal transduction pathway and independent of the NIN activity. The expression of MtIEF is induced transiently in the root epidermal cells by the rhizobium partner or Nod factors. Although its expression was not detectable at later stages of symbiosis, complementation experiments indicate that MtIEF is also required for the proper invasion of the nodule cells by rhizobia. The gene encodes an intracellular protein of unknown function possessing a coiled-coil motif and a plant-specific DUF761 domain. The IEF protein interacts with RPG, another symbiotic protein essential for normal IT development suggesting that combined action of these proteins plays a role in nodule infection.

Synthetic lethality offers opportunities to identify therapeutic targets for cancer research, facilitating the development of targeted tumour therapy protocols. However, current gene knockout approaches may cause compensatory changes in cellular function and, often, RNAi does not align with the ideal time window for studies and can be inconsistent, limiting the study of molecular interactions, especially when the disruption of two genes causes cell death. To circumvent this problem, we developed the IGIS (Inducible Gene-Inactivation Systems) platform, which uses transient or targeted integration of tetracycline-regulated gene-silencing constructs into human cell lines and fluorescent markers, permitting precise timing of gene inactivation, avoiding transfection variability, and enabling follow-up assays. The applicability of the IGIS systems was validated by investigating the functional interplay between the BRCA1 and RAD18 genes. Combining IGIS with cell survival, DNA fibre, BrdU alkaline comet assays, and pRPA immunostaining, we show that BRCA1 and RAD18 work in different pathways in replication-fork restart and post-replicative gap filling, and thus combined loss of these factors leads to accumulation of ssDNA gaps and replication catastrophe. This synthetic-lethal interaction study with our newly developed IGIS method highlights RAD18-dependent tolerance mechanisms as potential therapeutic vulnerabilities in BRCA-deficient tumours.