InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining

Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding

Inversions, a type of chromosomal structural variation, significantly influence plant adaptation and gene functions by impacting gene expression and recombination rates. However, compared with other structural variations, their roles in functional biology and crop improvement remain largely unexplored. In this review, we highlight technological and methodological advancements that have allowed a comprehensive understanding of inversion variants through the pangenome framework and machine learning algorithms. Genome editing is an efficient method for inducing or reversing inversion mutations in plants, providing an effective mechanism to modify local recombination rates. Given the potential of inversions in crop breeding, we anticipate increasing attention on inversions from the scientific community in future research and breeding applications.

Detecting inversions in routine molecular diagnosis in MMR genes

Inversions, i.e. a change in orientation of a segment of DNA, are a recognized cause of human diseases which remain overlooked due to their balanced nature. Inversions can have severe or more subtle impacts on gene expression. We describe two families that exemplify these aspects and underline the need for inversion detection in routine diagnosis. The first family (F1) displayed a sibship with two constitutional mismatch repair deficiency patients and a family history of colon cancer in the paternal branch. The second family (F2) displayed a severe history of Lynch syndrome. These families were analyzed using a whole gene panel (WGP) strategy i.e. including colon cancer genes with their intronic and flanking genomic regions. In F1, a PMS2 inversion encompassing the promoter region to intron 1 and a PMS2 splice variant were found in the maternal and paternal branch, respectively. In F2, we described the first MSH6 inversion, involving the 5' part of MSH6 and the 3' part of the nearby gene ANXA4. Inversion detection mandates genomic sequencing, but makes a valuable contribution to the diagnostic rate. WGP is an attractive strategy as it maximizes the detection power on validated genes and keeps sufficient depth to detect de novo events.

Fine Breakpoint Mapping by Genome Sequencing Reveals the First Large X Inversion Disrupting the NHS Gene in a Patient with Syndromic Cataracts

Inversions are structural variants that are generally balanced. However, they could lead to gene disruptions or have positional effects leading to diseases. Mutations in the NHS gene cause Nance-Horan syndrome, an X-linked disorder characterised by congenital cataracts and dental anomalies. Here, we aimed to characterise a balanced pericentric inversion X(p22q27), maternally inherited, in a child with syndromic bilateral cataracts by breakpoint mapping using whole-genome sequencing (WGS). 30× Illumina paired-end WGS was performed in the proband, and breakpoints were confirmed by Sanger sequencing. EdU assays and FISH analysis were used to assess skewed X-inactivation patterns. RNA expression of involved genes in the breakpoint boundaries was evaluated by droplet-digital PCR. We defined the breakpoint position of the inversion at Xp22.13, with a 15 bp deletion, disrupting the unusually large intron 1 of the canonical NHS isoform, and also perturbing topologically-associated domains (TADs). Moreover, a microhomology region of 5 bp was found on both sides. RNA analysis confirmed null and reduced NHS expression in the proband and his unaffected mother, respectively. In conclusion, we report the first chromosomal inversion disrupting NHS, fine-mapped by WGS. Our data expand the clinical spectrum and the pathogenic mechanisms underlying the NHS defects.