Meiosis is initiated by a double-strand break (DSB) introduced in the DNA by a highly controlled process that is repaired by recombination. In many organisms, recombination occurs at specific and narrow regions of the genome, known as recombination hotspots, which overlap with regions enriched for DSBs. In recent years, it has been demonstrated that conversions and mutations resulting from the repair of DSBs lead to a rapid sequence evolution at recombination hotspots eroding target sites for DSBs. We still do not fully understand the effect of this erosion in the recombination activity, but evidence has shown that the binding of trans-acting factors like PRDM9 is affected. PRDM9 is a meiosis-specific, multi-domain protein that recognizes DNA target motifs by its zinc finger domain and directs DSBs to these target sites. Here we discuss the changes in affinity of PRDM9 to eroded recognition sequences, and explain how these changes in affinity of PRDM9 can affect recombination, leading sometimes to sterility in the context of hybrid crosses. We also present experimental data showing that DNA methylation reduces PRDM9 binding in vitro. Finally, we discuss PRDM9-independent hotspots, posing the question how these hotspots evolve and change with sequence erosion.This article is part of the themed issue ‘Evolutionary causes and consequences of recombination rate variation in sexual organisms’.

As recombination plays an important role in evolution, its estimation and the identification of hotspot positions is of considerable interest. We propose a novel approach for estimating population recombination rates based on genotyping or sequence data that involves a sequential multiscale change point estimator. Our method also permits demography to be taken into account. It uses several summary statistics within a regression model fitted on suitable scenarios. Our proposed method is accurate, computationally fast, and provides a parsimonious solution by ensuring a type I error control against too many changes in the recombination rate. An application to human genome data suggests a good congruence between our estimated and experimentally identified hotspots. Our method is implemented in the ‐package LDJ ump , which is freely available at https://github.com/PhHermann/LDJump .

Real-time PCR-based genotyping methods, such as TaqMan allelic discrimination assays and allele-specific genotyping, are particularly useful when screening a handful of single nucleotide polymorphisms in hundreds of samples; either derived from different individuals, tissues, or pre-amplified DNA. Although real-time PCR-based methods such as TaqMan are well-established, alternative methods, like allele-specific genotyping, are powerful alternatives, especially for genotyping short tandem repeat (STR) length polymorphisms. Here, we describe all relevant aspects when developing an assay for a new SNP or STR using either TaqMan or allele-specific genotyping, respectively, such as primer and probe design, optimization of reaction conditions, the experimental procedure for typing hundreds of samples, and finally the data evaluation. Our goal is to provide a guideline for developing genotyping assays using these two approaches that render reliable and reproducible genotype calls involving minimal optimization.

)>IJH=?J Recombination results in the reciprocal exchange of genetic information occurring in meiosis which increases genetic variation by producing new haplotypes. Recombination rates are heterogeneous between species and also along dierent genomic regions. Large fractions of recombination events are often concentrated on short segments known as recombination hotspots. In this work we statistically inferred heterogeneous recombination rates by using relevant summary statistics as explanatory variables in a regression model. We used for this purpose a frequentist segmentation algorithm with type I error control to estimate the variation in local recombination rates. Under various simulation setups we have obtained very fast and accurate estimates. We also show an example of an inference on a 103kb region of the human genome and compare our inferred historical-and population-specic hotspots with results from experimental data (sperm-typing and double strand break maps). For the analyzed region, our method shows a good congruence between historical and experimental hotspots, except for one hotspot hypothesized to be population-specic. This method is implemented in the 4-package LDJump, which is available from https://github.com/PhHermann/LDJump.

Meiotic recombination has strong, but poorly understood effects on short tandem repeat (STR) instability. Here, we screened thousands of single recombinant products with sperm typing to characterize the role of polymorphic poly-A repeats at a human recombination hotspot in terms of hotspot activity and STR evolution. We show that the length asymmetry between heterozygous poly-A’s strongly influences the recombination outcome: a heterology of 10 A’s (9A/19A) reduces the number of crossovers and elevates the frequency of non-crossovers, complex recombination products, and long conversion tracts. Moreover, the length of the heterology also influences the STR transmission during meiotic repair with a strong and significant insertion bias for the short heterology (6A/7A) and a deletion bias for the long heterology (9A/19A). In spite of this opposing insertion-/deletion-biased gene conversion, we find that poly-A’s are enriched at human recombination hotspots that could have important consequences in hotspot activation.

To study meiotic recombination products, cis- or trans-association of disease polymorphisms, or allele-specific expression patterns, it is necessary to phase heterozygous polymorphisms separated by several kilobases. Haplotyping using long-range polymerase chain reaction (PCR) is a powerful, cost-effective method to directly obtain the phase of multiple heterozygous sites with standard laboratory equipment in a handful of loci for many samples. The method is based on the amplification of large genomic DNA regions (up to ~40 kb) with a reaction mixture that combines a proofreading polymerase with allele-specific primer pairs that preferentially amplify matched templates. The analysis of two heterozygous SNPs requires four reactions, each containing one of the four possible allele-specific primer combinations (two forward and two reverse primers), with the mismatches occurring at the 3' ends of the primers. The two correct primer combinations will more efficiently elongate the matching alleles than the alternative alleles, and the difference in amplification efficiency can be monitored with real-time PCR.

De novo mutations (DNMs) are an important player in heritable diseases and evolution, yet little is known about the different mutagenic processes in our germline given the difficulty to reliably identify ultra-low frequency variants. Of particular interest are highly recurrent DNMs associated with congenital disorders that have been described as selfish mutations expanding in the male germline, thus becoming more frequent with age. Here, we have adapted duplex sequencing (DS), an ultra-deep sequencing method that renders sequence information on both DNA strands; thus, one mutation can be reliably called in millions of sequenced bases. With DS, we examined ~4.5 kb of the FGFR3 coding region in sperm DNA from older and younger donors. We identified highly mutable sites with mutation frequencies 4-5 orders of magnitude higher than the genome average. Multiple mutations were found at a higher frequency, or exclusively, in older donors, suggesting that these mutations are testis exclusive mosaics expanding in the male germline with age. Also, older donors harbored more mutations associated with congenital disorders. Some mutations were found in both age groups with no significant difference, suggesting that these might result from a different mechanism (e.g., post-zygotic mosaicism). We also observed that independently of age, the frequency and deleteriousness of the mutations in sperm were elevated compared to reports in the population. Our approach is an important strategy to identify mutations that could be associated with aberrant receptor tyrosine kinase activity, with unexplored consequences in a society with delayed fatherhood.

The SARS-CoV-2 pandemic has required the development of multiple testing systems to monitor and control the viral infection. Here, we developed a PCR test to screen COVID-19 infections that can process up to ~180 samples per day without the requirement of robotics. For this purpose, we implemented the use of multichannel pipettes and plate magnetics for the RNA extraction step and combined the reverse transcription with the qPCR within one step. We tested the performance of two RT-qPCR kits as well as different sampling buffers and showed that samples taken in NaCl or PBS are stable and compatible with different COVID-19 testing systems. Finally, we designed a new internal control based on the human RNase P gene that does not require a DNA digestion step. Our protocol is easy to handle and reaches the sensitivity and accuracy of the standardized diagnostic protocols used in the clinic to detect COVID-19 infections.