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Biology subjects

Baudement, M.-O.

Publications and source records attributed to Baudement, M.-O..

2 recordsLinked to original sources

PRDM9 Alleles Guide Distinct Patterns of Recombination Localization in Atlantic Salmon

Meiotic recombination in many vertebrate lineages is directed to genomic regions by the DNA-binding protein PRDM9. To date, PRDM9 research has focused primarily on mammals, and its role in recombination localization has only recently been established in salmonids. PRDM9 binding specificity is determined by a tandemly repeated zinc-finger array that exhibits extensive allelic diversity within and between species. However, the extent to which PRDM9 variation shapes recombination landscapes in salmonids remains poorly understood. Here, we performed large-scale genotyping of PRDM9 in an aquaculture population of Atlantic salmon (Salmo salar) using long-read sequencing. By integrating PRDM9 genotypes with pedigree information and genome-wide recombination data, we generated PRDM9-specific linkage maps and sets of inferred crossover events. We show that the presence of specific PRDM9 alleles is associated with differences in recombination localization and identify patterns consistent with dominance interactions between alleles. Using population-averaged recombination rate estimates, we further link a previously described sequence motif enriched in European recombination hotspots to the presence of a common PRDM9 zinc-finger array allele (RPT6a). Together, our results demonstrate functional differences between PRDM9 alleles which contribute to divergence in recombination landscapes in Atlantic salmon, paralleling patterns observed in mammals. The broad geographic distribution of Atlantic salmon, combined with extensive pedigree data generated through aquaculture, highlights its potential as a powerful model for studying PRDM9 function and evolution beyond mammals.

genetics↗

Empowering bioinformatics communities with Nextflow and nf-core

Standardised analysis pipelines are an important part of FAIR bioinformatics research. Over the last decade, there has been a notable shift from point-and-click pipeline solutions such as Galaxy towards command-line solutions such as Nextflow and Snakemake. We report on recent developments in the nf-core and Nextflow frameworks that have led to widespread adoption across many scientific communities. We describe how adopting nf-core standards enables faster development, improved interoperability, and collaboration with the >8,000 members of the nf-core community. The recent development of Nextflow Domain-Specific Language 2 (DSL2) allows pipeline components to be shared and combined across projects. The nf-core community has harnessed this with a library of modules and subworkflows that can be integrated into any Nextflow pipeline, enabling research communities to progressively transition to nf-core best practices. We present a case study of nf-core adoption by six European research consortia, grouped under the EuroFAANG umbrella and dedicated to farmed animal genomics. We believe that the process outlined in this report can inspire many large consortia to seek harmonisation of their data analysis procedures.

bioinformatics↗